Reports – CB Insights Research

AI is making big tech even bigger — here’s how the trillion-dollar tech giants are deepening their moat and fueling future growth

Isabelle Selles — Fri, 11 Apr 2025 20:53:59 +0000

Big tech companies — Alphabet (Google), Amazon, Apple, Meta, Microsoft, and Nvidia — earned nearly $2T in aggregate revenue in 2024, up 15% from 2023.

They already dwarf the private tech sector — surpassing the combined value of all 1,200+ unicorns by a factor of 3 — and after a period of layoffs, they’re back to hiring, with 2024 headcount growing an average of 7% YoY.

Now, they’re betting big on AI to power their next phase of growth.

Spending on AI infrastructure (including data centers) has sent their capital expenditures to unprecedented levels. The venture arms of Nvidia, Google, and Amazon all backed a record number of AI deals last year. And after a years-long slump in big tech M&A, AI acquisitions will likely drive a rebound in 2025.

Below, we dive into how AI is reshaping dynamics among big tech players — including deep dives into fast-emerging markets like humanoids and AI agents — across 7 charts.

Note: We include US-based big tech companies based on market cap ($1T+) as of 04/11/2025.

Big tech heads toward $300B+ in 2025 capex

Increased spend on AI infrastructure like high-powered data centers has driven Amazon, Microsoft, Alphabet, and Meta’s combined capex past $50B in recent quarters.

Meta CEO Mark Zuckerberg framed Meta’s capex spend as a “strategic advantage” on its Q4’24 earnings call as the company scales AI usage across its products. Meta plans to spend $60-65B in capex in 2025.

As AI model costs drop, cloud providers in particular expect they will benefit from the expanding market.

Microsoft CEO Satya Nadella emphasized this potential on the company’s recent earnings call: “We ourselves have been seeing significant efficiency gains in both training and inference…as AI becomes more efficient and accessible, we will see exponentially more demand.”

To capture the demand, the big 3 are planning major infrastructure investments:

Amazon projects $100B in capex in 2025, up from $83B in 2024
Microsoft has committed $80B in 2025 to build out AI data centers
Google expects $75B in capex in 2025

Cloud competition hinges on AI demand

AI demand is turning into cloud revenue for Amazon, Google, and Microsoft.

AI sales have helped boost revenue growth for Microsoft’s Azure and cloud services arm, which averaged 31% quarterly growth in 2024, up from 28% in 2023.

Google Cloud’s more muted growth in Q4’24 (down 5 percentage points quarter-over-quarter) sent Alphabet’s shares down in February. Both Microsoft and Alphabet cited compute capacity constraints as reasons for the more limited growth in their latest quarters.

Expect close investor attention in 2025 to cloud revenue growth, especially as these players accelerate their infrastructure spend. AWS’ $28.8B in Q4’24 revenue was nearly on par with Amazon’s capex spend overall ($27.8B).

Meanwhile, as cloud competition intensifies, providers are strengthening their security offerings to capture enterprise clients with stringent compliance requirements.

Google Cloud has made notable investments in cloud security through strategic acquisitions including Wiz, Siemplify, and Mandiant. In contrast, AWS primarily leverages its partner network for security solutions, collaborating with companies like Bitdefender for endpoint security and CrowdStrike for incident response.

Their divergent approaches represent another dimension where cloud giants are competing for enterprise wallet share, beyond just AI compute capacity.

2025 likely to bring a rebound in M&A

Tech giants have pulled back dramatically on M&A in the last few years amid the antitrust climate. But with a new US administration in office, tech giants are betting on a friendlier dealmaking environment.

Notably, Google parent Alphabet announced a $33B acquisition of cloud security firm Wiz in March — the biggest VC-backed M&A exit ever. It’s also the first billion-dollar big tech acquisition since 2023, when Microsoft’s Activision deal closed.

In 2024, Nvidia led acquisition activity, with a focus on companies optimizing AI workloads (Run:AI, Deci, Octo AI). It’s already made 2 more acquisitions in 2025 so far: synthetic data generation startup Gretel in March; and server-renting service Lepton AI in April.

While tech giants test the M&A waters, we also expect to see more “quasi-acquisitions” — for instance, hiring away the teams and licensing the tech of promising startups to avoid antitrust scrutiny. For example, Amazon hired robotic startup Covariant’s founders and a quarter of its staff, while licensing the company’s models, in August 2024.

Nvidia accelerates AI startup investments

Nvidia has leapfrogged other big tech companies like Microsoft and Amazon in AI dealmaking.

The chip leader’s AI startup investments nearly 5x’d between 2022 and 2023. Of course, many of its investments — like Perplexity and xAI — are in turn using its chips.

The upswing indicates the strategic importance it’s placing on being a player in the AI startup landscape.

Nvidia also takes the lead when it comes to the strength of its AI startup portfolio. According to CB Insights’ Mosaic scores — which measure private-company health and growth potential, on a scale of 0-1,000 — Nvidia’s AI investments since 2024 come out on top with an average score of 840.

Nvidia is followed by Microsoft, with an average Mosaic score of 750 among its AI investments since 2024.

Physical AI in focus

Big tech is aggressively pursuing the humanoid robotics space.

In February 2025, for example, Google joined Apptronik’s $403M Series A funding round while Meta formed a new unit under its Reality Labs hardware division to develop humanoids.

Humanoids are complicated to build and deploy, requiring substantial sensor processing, advanced control, and more.

Tech giants see this as an opportunity to flex their software muscle and deep pockets. AI breakthroughs are unlocking new robotic capabilities, allowing humanoids to complete more complex tasks in a shorter training window, with applications from industrials to healthcare.

Race to own AI agents

Increasingly capable AI agents will reshape industries as we know them.

Big tech is getting in on the ground floor — each company is developing agents or building the tooling for them.

We expect big tech players (alongside LLM developers) to dominate general-purpose agent use cases, such as in commerce, given their distribution and infrastructure edge. Read more in our report on AI agent trends to watch.

RELATED RESEARCH FROM CB INSIGHTS

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State of Fintech Q1’25 Report

Laura Kennedy — Thu, 10 Apr 2025 14:08:31 +0000

On its face, fintech funding had a strong quarter in Q1’25, topping $10B for the first quarter in 2 years.

But one deal — a $2B minority round for crypto exchange Binance — made up nearly 20% of the funding. And global dealmaking declined for the fourth straight quarter.

Amid the mixed bag in funding, though, several areas of momentum stand out: AI, crypto, and digital banking.

Download the full report to access comprehensive data and charts on the evolving state of fintech.

Key takeaways from the report include:

Fintech funding gets a big boost from Binance. Funding to fintech companies increased 18% in Q1’25, its biggest jump in 3 quarters. The metric topped $10B for the first time in 2 years, propped up by 1 big deal: crypto exchange Binance’s $2B corporate minority round. Without that deal, Q1’25 funding would have trailed Q4’24.
AI is gathering steam in fintech. AI companies raised a record 16% of all fintech deals in Q1’25. AI’s steady increase in deal share follows trends in the broader venture market. AI companies’ share of fintech deals has more than doubled since OpenAI launched ChatGPT in 2022.
Crypto is resurging with investors. More than half (52%) of the biggest early-stage deals went to companies developing digital asset solutions, including blockchain tech, crypto exchanges, payments platforms, security, and more. The quarter also saw a new crypto banking unicorn.
Digital banking remains resilient. Despite funding and deals declining in Q1’25, digital banking companies have the highest average CB Insights Mosaic score, which measures business health and growth potential, among all fintech verticals. Challenger banks are fueling the high scores: 6 of the 7 digital banking companies with Mosaic scores of more than 900 fall into the category.

We dive into the trends below.

Fintech funding gets a big boost from Binance

Funding to fintech companies increased 18% in Q1’25 — its biggest jump in 3 quarters — and topped $10B for the first time in 2 years.

But one-fifth of the funding came from 1 deal: crypto exchange Binance’s $2B corporate minority round from Abu Dhabi-based AI investor MGX.

The massive round was the largest ever investment in a crypto company. Along with other finserv leaders’ activity — such as Stripe’s October 2024 acquisition of stablecoin platform Bridge for $1.1B — the deal is a marker of growing institutional interest in digital currencies.

Meanwhile, dealmaking fell by 3% to 777 to mark a fourth straight quarter of decline.

Overall, big rounds made up a larger share of fintech funding in the quarter. Mega-rounds (deals of $100M+) made up 44% of all funding, their highest quarterly share since Q1’23. That said, the total number of mega-rounds in the quarter still declined to 14 in Q1’25, down from 22 in Q4’24.

Mega-round recipients included a mid-stage digital bank (Mercury), a late-stage buy now, pay later provider (Tabby), and an early-stage credit card issuer (Plata). Investors also backed substantial rounds in digital currencies: in addition to Binance, mega-rounds went to an early-stage DeFi player (ZENMEV) and a mid-stage crypto wallet (Phantom).

AI is gathering steam in fintech

In line with the broader venture market, AI companies make up a growing share of fintech dealmaking.

AI companies that offer fintech solutions raised 16% (122) of all fintech deals in Q1’25. AI companies’ share of fintech deals has more than doubled since OpenAI launched ChatGPT in late 2022.

AI’s share of total fintech funding also ticked up in Q1’25, to 17%. The biggest deal to an AI-powered fintech company was a $200M round for home equity line of credit provider Figure, which is using AI to speed up loan originations and other processes.

Crypto is resurging with investors

Investors’ interest in crypto jumped in Q1’25.

Along with significant rounds for several mid- and late-stage digital currency companies, investors also poured money into early-stage crypto: 52% of the biggest seed and Series A deals in the quarter went to companies developing digital asset solutions — up from just 24% of the top early-stage deals in Q4’24.

Meanwhile, Swiss digital asset bank Sygnum was one of the quarter’s 3 new fintech unicorns.

The strength in crypto investment across metrics (mega-rounds, early-stage deals, unicorns) sets the stage for blockchain to play a larger role long-term across financial services like payments and investment.

Digital banking remains resilient

Despite a quarter when digital banking funding and deals both declined, digital banking companies remain resilient.

Among major fintech verticals, digital banking companies have the highest average CB Insights Mosaic score — which measures private-company health and growth potential — across all fintech verticals.

Challenger banks are fueling the high scores: 6 of the 7 digital banking companies with Mosaic scores of 900+ fall into the category.

This includes US-based Mercury, which raised the second-largest equity deal in Q1’25: a $300M Series C round from investors including Sequoia Capital and Andreessen Horowitz. The company, which provides business banking, says the new funding will support acquisitions and expansion.

Other high-Mosaic challenger banks that raised funding in Q1’25 are establishing themselves in market niches that have proven more difficult for traditional banks. For instance, Varo focuses on serving the underbanked, and raised a $29M Series G round in February 2025. Moniepoint, which is based in Nigeria, raised a $10M Series C-II round from Visa in January and is building payment and banking networks in Africa.

MORE FINTECH RESEARCH FROM CB INSIGHTS

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Sam Altman’s Investment Web: Where the OpenAI CEO is investing in AI, biotech, energy, and more

Isabelle Selles — Mon, 07 Apr 2025 15:14:57 +0000

As the CEO of OpenAI, Sam Altman has become the face of the generative AI movement.

Prior to heading up OpenAI, he was president of Y Combinator, one of the most successful startup accelerators in the world, from 2014 to 2019.

Behind the scenes, Altman is a remarkably active angel investor — with over 100 investments since 2010, including rounds to Stripe, Reddit, and Instacart.

In addition to his individual investments, he is the founder of VC firm Hydrazine Capital and investment fund Apollo Projects, launched with his brothers Max and Jack Altman. Altman Capital, which is managed by Jack, also counts Sam as a limited partner.

His investments highlight wide-ranging interests, including lab-grown meat, longevity, energy, education — and, of course, artificial intelligence.

We mapped out Sam Altman’s universe of portfolio companies by category since 2019. We also note where companies have publicly disclosed a relationship with OpenAI.

Below the graphic, we break down the most notable areas of activity.

Sam Altman’s investments overlap with OpenAI’s strategy

Several of the companies Altman has backed also have relationships with OpenAI. For instance, Altman has backed 3 rounds to Humane, which recently released its “Ai Pin” — a wearable device whose core feature is a personal assistant powered by ChatGPT.

Two of Altman’s other investments — B2B payments automation platform Slope (Series B) and coding assistant Warp (Series B) — have both disclosed that OpenAI’s models are in part powering their products.

Meanwhile, OpenAI signed a letter of intent to spend $51M on AI chips from Rain in 2019. Altman had previously invested in the company’s seed round.

AI-powered language learning app Speak, whose Series A Altman backed in 2022, has since raised successive rounds from OpenAI’s Startup Fund and other investors.

While OpenAI is not an investor in the OpenAI Startup Fund (the fund’s backers include Microsoft and other OpenAI partners), Speak said its Series B raise “unlocks a deeper relationship where OpenAI’s systems will power more of Speak’s user experience, and Speak will gain advanced access to new systems in development.”

With $40B of fresh capital, OpenAI will likely become increasingly acquisitive, focusing on two key areas, infrastructure (building the base for continued growth at the foundational level) and applications (focusing on revenue-generation as the company transitions to for profit).

Three new investments from the last twelve months stand out:
1) AirOps (Jun ’24 via Alt Capital): A platform that allows users to create, test, deploy, and scale AI applications.
2) CrewAI (Oct ’24 via Alt Capital): A platform for building, deploying, and managing AI agents.
3) Exowatt (Apr ’24): Renewable energy company that provides modular solutions for energy generation and storage.

Two biggest bets Outside of AI are in energy & longevity

In November 2021, Sam Altman contributed $375M to nuclear fusion startup Helion’s $500M Series E raise — his largest personal investment to date.

Altman wrote on his blog at the time of the investment: “Helion is by far the most promising approach to fusion I’ve seen.” In May 2023, OpenAI-backer Microsoft signed an agreement to buy electricity from Helion later this decade.

Altman’s other major bet is anti-aging startup Retro Biosciences. He’s invested a total of $180M in the company, which aims to extend life spans via cellular reprogramming.

Notable exits

Altman has invested in numerous edtech startups over the years. One of them — Codecademy, which he backed in 2011 — was acquired for $525M by SkillSoft in December 2021.

Other early investments that went on to exit include Instacart (the company IPO’d in September 2023) and Cruise (acquired by General Motors in 2016).

In addition, Altman is behind 3 SPACs:

AltC Acquisition Corp., where he is executive officer, is planning a merger with nuclear fission startup Oklo (where he is chairman of the board).
He is on the board of directors for Bridgetown Holdings, which merged with fintech MoneyHero in October 2023, and Bridgetown 2 Holdings, which merged with proptech company PropertyGuru in 2022.

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State of Venture Q1’25 Report

Alex Lee — Thu, 03 Apr 2025 14:48:01 +0000

Venture capital funding reached the highest level in nearly 3 years in Q1’25 — led by OpenAI’s mammoth $40B round — as AI continues to reshape the venture ecosystem.

Opportunities across stages and geographies have fueled growth in deal sizes globally. So far in 2025, the median deal size sits at a record $3.5M.

While AI continues to dominate headlines and venture activity, sectors like fintech, digital health, and retail tech all recorded quarterly funding increases as investors diversify beyond core AI infrastructure plays.

Download the full report to access comprehensive data and charts on the evolving state of venture across sectors, geographies, and more.

Below, we break down the top stories from this quarter’s report, including:

Quarterly funding jumps to $121B, even as deal count keeps falling
AI now drives 1 in 5 global venture deals
Eight early-stage AI companies raise $100M+ mega-rounds
Early-stage deal sizes pace at an all-time high
Billion-dollar M&A exits hit a new quarterly record

We also outline the key trends shaping venture dealmaking for the rest of 2025 — from AI agent specialization and the voice AI boom to crypto’s rebound.

Let’s dive in.

Predictions for venture dealmaking in 2025

Below, we use signals from public-company earnings calls, startup financing trends, and business relationships to predict which trends will dominate venture activity through the rest of 2025.

AI agents “niche down” and gain enterprise buy-in

AI agents are transitioning from concept to commercial application. They’ve become a frequent topic on corporate earnings calls, and according to a December 2024 CB Insights survey, 63% of organizations said they are placing significant importance on AI agents over the next 12 months. All respondents reported at least experimenting with agents.

These LLM-based systems represent an evolution beyond copilots. They can autonomously handle complex tasks — from sales prospecting to compliance decision-making — with limited human input. The market is expanding rapidly, with CB Insights data showing that over half of companies in the space were founded since 2023.

Investor interest is surging in parallel. AI agent startups saw more than 200 equity deals in 2024 — and activity is pacing toward similar levels this year.

Key investment themes emerging in the space include:

Specialized agents for specific business functions (sales, legal, finance)
Agent orchestration platforms that manage multiple agentic systems
Safety and alignment tools for ensuring agent behaviors match human intentions
Enterprise-grade agents with robust permissions and security frameworks

As agents become more capable and trustworthy, adoption will accelerate across industries.

Voice AI takes off amid technical advances

Voice AI is undergoing a technical transformation as models shift toward processing audio directly — bypassing the text intermediation stage — and approaching human-like conversation latency of under 300ms.

This technical progress has fueled substantial investment, with voice AI solutions raising $2.1B in 2024 and nearly $500M in Q1’25.

One standout is ElevenLabs, which reached $100M in ARR just 3 years after its founding and raised a $180M round in January from investors including a16z, Salesforce Ventures, and Sequoia Capital.

Despite these promising signals, the voice AI market remains in early development. CB Insights data shows approximately 85% of companies in the space are at levels 1-3 on the Commercial Maturity scale. Nearly half are developing or validating their products, while 39% have just begun commercial distribution.

As voice interfaces become more natural and capable, we expect to see investment opportunities emerge in several areas:

Domain-specific voice applications for industries like healthcare and legal
Voice AI trained on local languages not typically covered by general-purpose AI systems
Voice-first UI/UX for both consumer and enterprise applications

Crypto & blockchain rebound

After weathering a prolonged crypto winter, blockchain technologies are experiencing renewed institutional interest. Funding to crypto/blockchain companies reached $6.6B in Q1’25, putting the space on track to surpass $20B in annual funding. Earnings call mentions have climbed accordingly.

Several crypto companies now rank among the most likely IPO candidates, with platforms like Blockchain.com and Kraken showing IPO probabilities 64x higher than the average company tracked by CB Insights — a notable shift in public-market viability for the sector.

Another trend to watch is the growing institutional and government focus on stablecoins, as regulators develop frameworks to incorporate these digital assets into the traditional financial system.

Defense tech comes into focus

Military technology is entering a new era as investment shifts toward autonomous systems and AI-driven capabilities.

According to former Joint Chiefs of Staff Chairman General Mark Milley, smart machines and robotics could account for one-third of the US military presence within the next 15 years.

Funding to AI defense tech startups has already reached $1.5B this year — leading to a projected $6B by year-end. Last quarter saw earnings call discussion of defense reach an all-time high.

Much of this activity centers on multidomain operations (MDO) technologies — integrating systems across land, sea, air, space, and cyber — where AI is accelerating mission planning, threat detection, and battlefield connectivity. Major defense contractors are forming partnerships with AI startups to enhance battlefield management systems, mission planning capabilities, and integrated defense connectivity platforms.

As geopolitical tensions persist, defense tech investment is likely to continue growing, with particular focus on autonomous systems, AI-enhanced battlefield analytics, and advanced cybersecurity solutions for critical infrastructure.

Conclusion

The venture capital landscape in Q1’25 reflects key contrasts: record funding alongside declining deal count, significant early-stage deals vs. heightened expectations for follow-on capital, and a resurgence in billion-dollar exits despite broader market caution.

AI continues to influence capital allocation decisions across the venture ecosystem, but we’re seeing a shift from general infrastructure investments to specialized vertical applications and industry-specific solutions. Meanwhile, sectors beyond AI are showing resilience, with fintech, digital health, and retail tech all posting quarterly funding increases.

For investors, the data suggests maintaining a disciplined approach to AI investments while remaining alert to opportunities in adjacent sectors. The companies that successfully blend AI capabilities with sustainable business models will emerge as the defining ventures of this era.

For more insights on venture trends and emerging technologies, explore our related resources:

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Book of Scouting Reports: InsurTech NY’s 2025 Spring Conference

Chris Sekerak — Tue, 25 Mar 2025 22:57:24 +0000

This book features comprehensive reports on the top companies — ranked by Mosaic Score — sponsoring or speaking at InsurTech NY’s 2025 Spring Conference:

We’ve used generative AI, combined with our proprietary data on these companies and their markets, to create the following scouting reports — in just one click on CB Insights.

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7 tech M&A predictions for 2025

Thomas Sineau — Fri, 21 Mar 2025 19:23:34 +0000

Watch a live briefing on these tech M&A predictions here.

The AI boom has set the stage for a wave of tech M&A this year.

After 2 consecutive years of decline, tech M&A deals were up in 2024, with some of the largest deals centering on AI. AI companies have also bucked the general downward trend in exit valuations, instead seeing nearly double the median acquisition price from 2023 to 2024.

Using CB Insights’ predictive signals, such as Mosaic and M&A Probability, we’ve identified 7 AI-related areas where we expect to see M&A activity this year, as well as high-potential acquisition targets for each.

See highlights below, and download the full report for the rationale behind each prediction, as well as M&A target shortlists.

Tech M&A prediction highlights

Big tech players set their sights on humanoid robotic: As physical AI takes off thanks to the rise of LLMs, humanoid robotics is becoming big tech’s next battlefield. Among high-potential acquisition targets, 1x stands out for its dual focus on industrial and consumer humanoids (just in January, it acquired Kind Humanoid to accelerate household robot development). This makes it a prime target for Meta, which recently announced plans to enter the consumer humanoid market.
Enterprise tech heavyweights compete for AI infrastructure dominance: We’re already seeing strong signals from cash-rich companies such as Cisco and IBM, which are future-proofing their business models with AI investments. Hardware-aware AI optimization players CentML and Nota AI — which help accelerate AI model deployment while reducing compute costs — appear in our AI infrastructure acquisition target list. These companies have already shown quantifiable efficiency improvements as well as validation from Nvidia as a partner or investor.

Source: CB Insights advanced search. Data is dynamic (as of 2/27/2025).

Data center energy demands fuel interest in cooling tech: Companies offering immersion and liquid cooling solutions enjoyed a funding rebound last year, attracting a combined $120M in fresh funding. Hypertec and Submer are high-potential acquisition targets in this space.
Professional services firms seek AI capabilities: GenAI is coming for knowledge jobs — and leading professional services firms are buying AI capabilities to get ahead of it. One area where we see high M&A potential for professional services firms is to cater to clients’ responsible AI needs, with potential acquisition targets such as Lasso Security and HydroX AI.
Pharma companies target AI drug discovery startups: AI drug discovery M&A is surging, with 12 deals in the sector since 2023. That M&A deal volume reflects both a maturing technology and growing urgency among pharma players to bring AI tech in-house.
SaaS giants fortify their offerings with AI agent acquisitions: While some believe AI agents signal the death of SaaS companies, we anticipate SaaS leaders will acquire AI agent companies to avoid disruption. We’re already starting to see this happen with ServiceNow acquiring Moveworks for close to $3B in March 2025.

Source: CB Insights — ServiceNow Acquisition Insights

Coding AI agents drive next wave of AI agent consolidation: Explosive growth, soaring valuations, a fractured AI agent landscape, and rising doubts about revenue defensibility make the coding AI agents market ripe for consolidation. While some players like Cursor look too expensive for an acquisition, we’ve identified Warp, Vidoc, and Bito as likely targets with high Mosaic scores and higher-than-average M&A Probabilities.

What is Mosaic?

Mosaic is CB Insights’ proprietary metric that measures the overall health and growth potential of private companies using non-traditional signals. Mosaic is widely used as a target company and market screener to identify high-potential emerging tech companies, typically defined as those with a score of 510 or higher.

What is M&A Probability?

M&A Probability is CB Insights’ proprietary signal that measures a private company’s chance of an M&A exit within the next 2 years. It is used to quickly screen and triangulate companies based on exit likelihood.

Combining both Mosaic Score and M&A Probability makes it easy to shortlist acquisition targets.

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Book of Scouting Reports: LSI USA ’25 Emerging Medtech Summit

Amrit Panjabi — Tue, 18 Mar 2025 16:00:06 +0000

This book features comprehensive reports on some of the top companies — ranked by Mosaic Score — presenting at LSI USA’s 2025 Spring Conference.

We’ve used generative AI, combined with our proprietary data on these companies and their markets, to create the following scouting reports — in just one click on CB Insights.

CB Insights customers can download the book using the sidebar.

Want to see more research? Join a demo of the CB Insights platform.

If you’re already a customer, log in here.

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The future of the customer journey: AI agents take control of the buying process

Laura Kennedy — Tue, 25 Feb 2025 15:19:32 +0000

Shopping could soon be as simple as saying “yes.”

Imagine: your personal AI agent notifies you that a hair dryer you’ve been eyeing is now on sale. The product page highlights benefits tailored to your curly hair, while the agent confirms it will arrive before your upcoming trip.

With your approval, the agent handles the purchase through your secure wallet. Later, it proactively suggests complementary hair care products for the summer season.

This world of autonomous commerce isn’t as far off as it seems. Tech and e-commerce leaders — including OpenAI, Nvidia, Amazon, Walmart, Google, and Apple — are already building AI systems that are steps away from conducting transactions.

AI agents will impact each stage of the customer journey, streamlining the path to purchase and fundamentally transforming how businesses build relationships with consumers and drive loyalty.

We use CB Insights data on early-stage fundraising, public companies, and industry partnerships to analyze how generative AI — especially AI agents — is transforming the customer journey.

In the 11-page report, we cover 3 predictions that emerged from our analysis:

First-party transaction data will shape the future of AI-driven personalization. As personalization becomes more sophisticated at the awareness and consideration stages, companies with direct access to first-party data will have an edge.
Direct-to-agent (D2A) commerce will kill traditional loyalty. With AI agents handling browsing and shopping, traditional loyalty programs will lose effectiveness as agents optimize shopping across a select group of merchants.
A few AI agents will own the customer relationship. Companies like Amazon, Google, and Apple — with critical distribution and financial services infrastructure — are well-positioned in commerce.

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State of Insurtech 2024 Report

Chris Sekerak — Thu, 13 Feb 2025 18:03:07 +0000

In 2024, investors continued to retreat from insurtech.

Just 113 investors made at least 2 equity insurtech investments during the year — a 72% drop from the high of 406 investors in 2021. As a result, insurtech dealmaking dropped to 362 deals, the lowest annual total since 2016.

Download the full report to access comprehensive data and charts on the evolving state of insurtech.

Key takeaways from the report include:

Insurtech dealmaking and funding continue to decline. Deal count fell 28% year-over-year (YoY) to 362 deals in 2024, while funding dropped 4% to $4.5B. Insurtech deals and funding are both at recent lows.
Quarterly funding to P&C insurtechs is in the gutter. P&C funding dropped 43% quarter-over-quarter (QoQ) to $0.4B in Q4’24 — a 7-year low — with annual funding also declining to $2.6B. The year’s 2 largest deals in P&C went to AI-focused startups Altana AI and Akur8, highlighting investors’ appetite for specialized AI opportunities.
Silicon Valley is dethroned as insurtech’s funding capital. Silicon Valley’s share of global insurtech funding dropped dramatically from 20% in 2023 to 10% in 2024, surpassed by New York at 15%. This was the first time since 2018 that Silicon Valley wasn’t No. 1.
Early-stage insurtechs raise record-high deal sizes. The median early-stage insurtech deal size surged 52% YoY to $3.8M in 2024 — outpacing the broader venture landscape — as investors concentrate on a more selective group of innovators.
Recently funded insurtechs show stronger business fundamentals and more efficient growth trajectories. Insurtechs that raised funding in 2024 have grown employee headcounts by a median of 20% over the last 12 months, far surpassing the 3% growth among those that raised during the funding boom of 2021.

Insurtech dealmaking and funding continue to decline

Insurtech deal count fell 28% YoY, from 500 deals in 2023 to 362 in 2024. The decline outpaced the broader venture environment, which saw deal count fall 19% YoY. 2024 was the worst year for insurtech dealmaking since 2016 (328 deals).

Deal volume among leading investors has also decreased. The number of investors that made 5 or more equity insurtech investments has fallen from 57 in 2021 to just 7 in 2024. Those that remain active now operate in a more favorable environment due to reduced competition across the marketplace.

Insurtech funding declined in 2024 as well, though by only 4% YoY.

Quarterly funding to P&C insurtechs is in the gutter

Q4’24 marked a 7-year low for P&C insurtech funding, which fell 43% QoQ to $0.4B. The decline caused broader insurtech funding to halve QoQ, from $1.4B in Q3’24 to $0.7B in Q4’24.

P&C deal count also fell 10% QoQ to 45 in Q4’24, the lowest level since Q2’16.

Annual P&C insurtech funding declined to $2.6B in 2024, a 7-year low, underscored by just 2 P&C insurtech startups raising $100M+ mega-round deals: Altana AI, which offers an AI-powered supply chain risk platform, and Akur8, an AI-powered pricing platform. Those deals signal appetite for specialized AI products for the insurance industry, coinciding with a global surge in AI funding to over $100B last year.

Comparatively, life & health insurtech saw an increase in annual funding and dealmaking. Funding increased 64% YoY to $1.8B in 2024, while deals ticked up from 126 in 2023 to 128 in 2024.

Silicon Valley is dethroned as insurtech’s funding capital

The share of global insurtech funding to Silicon Valley-based startups halved YoY, falling from 20% in 2023 to 10% in 2024. Comparatively, New York led the way with 15% of global insurtech funding share in 2024, more than doubling from 7% the year prior.

Silicon Valley is the world’s leading tech ecosystem, and venture-wide funding to the region’s startups soared last year amid a boom in AI investment. Given the ecosystem’s prominence, diminished insurtech activity in Silicon Valley could lead to missed opportunities for insurance-focused AI advancements.

Early-stage insurtechs raise record-high deal sizes

The median insurtech deal size increased from $4.1M in 2023 to $5.2M in 2024.

The increase was fueled by early-stage insurtechs, which saw median deal size surge 52% YoY, from $2.5M in 2023 to $3.8M in 2024. The size and growth rate both beat out the broader venture environment, where early-stage deal size increased 17% YoY to $2.1M.

Combined with the broader decline in dealmaking, larger check sizes indicate that investors are concentrating their investments on fewer bets. For the insurance industry, this dynamic points to a slimmer insurtech landscape with fewer high-growth participants moving forward.

On the other hand, late-stage insurtech deal sizes declined 19% YoY from $40M in 2023 to $32.5M in 2024.

The decline coincides with a restricted exit environment: Insurtech M&A exits fell from 57 in 2023 to 35 in 2024.

Nevertheless, notable exits include CCC Intelligent Solutions’s acquisition of EvolutionIQ in December at a valuation of $730M, as well as Applied’s purchase of Planck in July. Both acquisitions targeted genAI-enabled startups, signaling a broader appetite for genAI insurance offerings.

Recently funded insurtechs show stronger business fundamentals

Insurtechs that raised funding in 2024 are growing headcounts faster than other insurtechs, by a median of 20% over the last 12 months and 40% over the last 24 months.

Comparatively, median headcount growth among insurtechs that raised a funding round at the height of the funding boom in 2021 is marginal — just 3% over the last 12 months.

The higher growth rates of recently funded insurtechs suggest a new breed of companies with stronger fundamentals — they’re not only able to raise capital in a selective market but are also demonstrating more efficient growth than their 2021-funded counterparts.

By the same logic, investors and partners (like established brokers and carriers) should monitor the landscape for outliers that represent organic growth opportunities — such as insurtechs that haven’t raised funding in several years but continue to grow headcount at a steady clip.

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State of Climate Tech 2024 Report

Thomas Hodson — Thu, 06 Feb 2025 16:40:03 +0000

Climate tech investment activity dropped significantly in 2024, with both funding and deals falling to their lowest levels since 2020.

A key factor in the slowdown was a sharp drop in funding from mega-rounds ($100M+ deals), which dropped 47% year-over-year (YoY) in 2024. This coincided with high-profile bankruptcies of established climate tech startups like battery manufacturer Northvolt.

However, this turbulence wasn’t limited to the private markets — public players like Lilium and Arrival also filed for insolvency/bankruptcy over the period, highlighting the commercialization challenges facing capital-intensive industries like climate tech.

Download the full report to access comprehensive data and charts on the evolving state of climate tech across sectors, geographies, and more.

Key takeaways from the report include:

Climate tech investment activity continues to contract. Global climate tech funding fell for the second year straight in 2024, dropping by 40% YoY, with mega-round funding falling by 47%. However, the space still saw notable mega-rounds. This included deals to players modernizing the power grid, drawing participation from tech giants racing to secure clean energy for computing infrastructure.
Grid tech and nuclear are gaining momentum to meet AI’s energy needs. Within climate tech, markets targeting the grid and power generation show the strongest growth potential, according to CB Insights Mosaic startup health scores. This momentum is driven in part by the massive energy demands (and expected continued demand) of AI data centers.
Electric vehicle technology sees record pullback in deals. After years of steady growth, electric vehicle (EV) tech deal activity plunged 61% YoY in 2024 — its steepest decline on record. This points to broader challenges in the sector, like lower consumer demand for EVs and increased capital costs for scaling manufacturing operations.
Climate tech M&A exits decline once again. Climate tech M&A exits dropped by 25% YoY to hit 284, the lowest count since 2020. At the quarterly level, M&A exits steadily declined over the course of 2024, falling from 104 in Q1’24 to 39 in Q4’24. Growing skepticism around environmental, social, and governance (ESG) initiatives could be a contributing factor.

We dive into the trends below.

Climate tech investment activity continues to contract

Global climate tech funding dropped for a second consecutive year in 2024. It fell by 40% YoY, with mega-round funding falling by 47% over the same period.

The funding slowdown played out differently across the globe. US climate tech showed resilience YoY with relatively steady funding despite fewer deals. Meanwhile, other countries saw steep declines in climate tech dollars, with China experiencing the sharpest drop (-66% YoY).

Amid the overall funding decline, climate tech still saw several notable mega-rounds. This included deals in Q4’24 for companies modernizing the power grid:

Crusoe secured $600M at a $2.8B valuation to support its efforts to use waste natural gas to power large-scale data centers
X-energy received $500M as it works to build small modular reactors (SMRs) capable of generating more than 5 gigawatts of electricity by 2039
Form Energy secured $405M to accelerate production of its iron-air batteries capable of 100-hour energy storage

Notably, some of these deals drew participation from big tech companies racing to secure clean energy for computing infrastructure. For example, Amazon (via the Climate Pledge Fund) invested in X-energy’s nuclear development, and Nvidia invested in Crusoe’s sustainable computing infrastructure, reflecting big tech’s interest in solutions that can help meet rising AI data center demands.

Grid tech and nuclear are gaining momentum to meet AI’s energy needs

Comparing median CB Insights Mosaic scores (a measure of private tech company health and growth potential on a 0–1,000 scale) for climate tech companies that raised equity funding in 2024 reveals the most promising markets in climate tech.

Grid tech and nuclear markets — covering technologies directly integrated into and operated by utilities to enhance power system reliability, flexibility, and clean energy integration — dominate the top 10 climate tech markets by median Mosaic score, highlighting their growth potential.

Surging energy demand from AI data centers is in part responsible for these markets’ momentum. For example, nuclear fusion and small modular reactors could provide continuous clean power generation, grid storage enables reliable renewable energy delivery, and virtual power plants help optimize massive power loads.

Electric vehicle technology sees record pullback in deals

Electric vehicle tech deals experienced their steepest decline on record in 2024, with deal count plunging 61% YoY to 243.

High-profile bankruptcies underscored the sector’s capital-intensive manufacturing challenges in 2024. Battery manufacturer Northvolt filed for bankruptcy a year after raising $1.2B, as it struggled to scale production efficiently. Electric van maker Arrival — which went public in 2021 at a $13B valuation — also filed for bankruptcy last year amid mounting production costs and the inability to raise funding.

Even the auto industry’s most prominent EV champions scaled back their electric ambitions throughout the year:

GM delayed its Orion Assembly EV truck plant by 6 months and cut 2024 EV targets by 17%
Toyota postponed US EV production to 2026
Ford canceled plans to produce an all-electric three-row SUV, pivoting to a hybrid approach instead
Volvo dropped its 2030 all-electric goal

Climate tech M&A exits decline once again

In 2024, climate tech M&A exits fell by 25% YoY to hit 284 — the lowest count since 2020.

At the quarterly level, M&A exits steadily declined over the course of 2024, falling from 104 in Q1’24 to 39 in Q4’24.

The decline in M&A activity coincided with key changes in market conditions, including the rise of economic headwinds, political uncertainty, and growing skepticism around environmental, social, and governance (ESG) initiatives.

For example, ESG tech markets collectively saw equity funding decline 54% YoY in 2024. On the corporate side, mentions of ESG in earnings calls have trended down since peaking in Q1’22.

As skepticism toward ESG initiatives grows, some companies appear to be placing lower priority on climate tech acquisitions that were previously considered strategic imperatives.

MORE CLIMATE TECH RESEARCH FROM CB INSIGHTS

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State of CVC 2024 Report

Benjamin Lawrence — Tue, 04 Feb 2025 14:00:45 +0000

Global CVC-backed funding rebounded 20% YoY to $65.9B in 2024, fueled by increased attention to US startups — especially AI companies, which drew record-high shares of both CVC-backed deals and funding.

However, global CVC deal count dropped to its lowest level since 2018 as CVCs become more selective.

Download the full report to access comprehensive data and charts on the evolving state of CVC across sectors, geographies, and more.

Key takeaways from the report include:

CVC-backed funding grows, deal activity slows. Global CVC-backed funding increased 20% YoY to $65.9B, but deal count fell to 3,434, the lowest level since 2018. All major regions saw deal volume declines, with Europe dropping the most at 10% YoY.
CVCs are all in on AI. AI startups captured 37% of CVC-backed funding and 21% of deals in 2024 — both record highs. Counter to the broader decline in deals, CVCs ratcheted up AI dealmaking by 13% YoY as they race to secure footholds in the space before competitors gain an insurmountable edge.
The flight to quality continues. Among deals with CVC participation, the annual average deal size hit $27.3M in 2024, tied for the second highest ever. Amid fewer deals, CVCs are increasingly aggressive when they do decide to invest.
Early-stage deals dominate. Early-stage rounds comprised 65% of 2024 CVC-backed deals, tied for the highest share in over a decade. Biotech startups made up half of the top 20 early-stage deals.
CVC-backed funding plummets in Asia. In 2024, Asia’s CVC-backed funding dropped 34% YoY to $7B — the lowest level since 2016. China is leading the decline, with no quarter in 2024 exceeding $0.5B in funding. CVCs remain wary of investing in the country’s private sector.

We dive into the trends below.

CVC-backed funding grows, deal activity slows

Global CVC-backed funding reached $65.9B, a 20% YoY increase. The US was the main driver, increasing 39% YoY to $42.8B. Europe also saw CVC-backed funding grow 18% to $12.3B, while Asia declined 34% to $7B.

$100M+ mega-rounds also contributed to the rise, ticking up 21% YoY to 141 deals worth over $32B in funding.

Meanwhile, deal count continued its decline, as both annual (3,434 in 2024) and quarterly (806 in Q4’24) totals reached their lowest levels in 6 years.

Annual deal volume fell by at least 6% YoY across each major region — the US, Asia, and Europe — with Europe experiencing the largest decline at 10%.

However, Japan-based CVC deal volume remains near peak levels, suggesting a more resilient CVC culture compared to other nations. Two of the three most active CVCs in Q4’24 are based in Japan: Mitsubishi UFJ Capital (21 company investments) and SMBC Venture Capital (15).

CVCs are all in on AI

AI is driving CVC investment activity, much like the broader venture landscape. In 2024, AI startups captured 37% of CVC-backed funding and 21% of deals, both record highs.

In Q4’24, the biggest CVC-backed rounds went primarily to AI companies. These include:

AI search startup Perplexity’s $500M Series C, backed by Nvidia’s NVentures
Coding AI copilot Poolside’s $500M Series B, backed by the venture arms for Citigroup, HSBC, Capital One, LG, eBay, and Nvidia
AI computing processor developer Lightmatter’s $400M Series D, backed by GV

CVCs are also investing in the energy companies powering the AI boom, such as Intersect Power, which raised the largest round at $800M (backed by GV).

Expect the trend to continue into 2025, as emerging AI markets mature further, such as AI agents & copilots for enterprise and industrial use cases; AI solutions for e-commerce, finance, and defense; and the computing hardware necessary to power these technologies.

The flight to quality continues

In 2024, the annual average deal size with CVC participation reached $27.3M, a 34% YoY increase and tied for the second highest level on record, exceeded only by the low-interest-rate environment of 2021.

Median deal size also increased, though only by 8% to $8.6M.

Even though the number of CVC-backed deals declined in 2024, the increase in average annual deal size reflects a focus on companies with strong growth prospects. CVCs are prioritizing quality and committing more funds to a select group of high-potential investments.

Early-stage deals dominate

Early-stage rounds (seed/angel and Series A) made up 65% of CVC-backed deals in 2024, tied for the highest recorded level in more than a decade.

In Q4’24, biotech companies were the early-stage fundraising leaders, accounting for 10 of the 20 largest early-stage deals. Biotech players City Therapeutics, Axonis, and Trace Neuroscience all raised $100M+ Series A rounds, with City Therapeutics and Axonis notably receiving investment from the venture arms of Regeneron and Merck, respectively.

Among all early-stage CVC-backed companies, the largest round went to Physical Intelligence, a startup focused on using AI to improve robots and other devices. Physical Intelligence raised a $400M Series A with investment from OpenAI Startup Fund.

CVC-backed funding plummets in Asia

Asia’s CVC-backed funding continued its downward trend in 2024, decreasing 34% YoY to $7B.

China was the main driver, with CVC-backed funding coming in at $0.5B or less every quarter in 2024. CVCs remain wary of investing in startups in the nation, which faces a variety of economic challenges, including a prolonged real estate slump, cautious consumer spending, strained government finances, and weakened private sector activity amid policy crackdowns.

In Japan, on the other hand, CVC activity remains robust. In 2024, funding with CVC participation ($1.7B) remained on par with the year prior, while deals (502) actually increased by 11%.

MORE VENTURE RESEARCH FROM CB INSIGHTS

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State of AI Report: 6 trends shaping the landscape in 2025

Isabelle Selles — Thu, 30 Jan 2025 14:00:00 +0000

2024 was a transformative year for the AI landscape.

Venture funding surged past the $100B mark for the first time as AI infrastructure players pulled in billion-dollar investments. A wave of M&A deals and rapidly scaling AI unicorns further underscored the tech’s momentum.

Download the full report to access comprehensive data and charts on the evolving state of AI across exits, top investors, geographies, and more.

Key takeaways include:

Massive deals drive AI funding boom. AI funding hit a record $100.4B in 2024, with mega-rounds accounting for the largest share of funding we’ve tracked to date (69%) — reflecting the high costs of AI development. Quarterly funding surged to $43.8B in Q4’24, driven by billion-dollar investments in model and infrastructure players. At the same time, nearly 3 in 4 AI deals (74%) remain early-stage as investors look to get in on the ground floor of the AI opportunity.
Industry tech sectors lose ground in AI deals. Vertical tech areas like fintech, digital health, and retail tech are securing a smaller percentage of overall AI deals (declining from a collective 38% in 2019 to 24% in 2024). The data suggests that companies focused on infrastructure and horizontal AI applications are drawing greater investor interest amid generative AI’s rise.
Outside of the US, Europe fields high-potential AI startup regions. While the US dominated AI funding (76%) and deals (49%) in 2024, countries in Europe show strong potential in AI development based on CB Insights Mosaic startup health scores. Israel leads with the highest median Mosaic score (700) among AI companies raising funding.
AI M&A activity maintains momentum. The AI acquisition wave remained strong in 2024, with 384 exits nearly matching 2023’s record of 397. Europe-based startups represented over a third of M&A activity, cementing a 4-year streak of rising acquisitions among the region’s startups.
AI startups race to $1B+ valuations despite early market maturity. The 32 new AI unicorns in 2024 represented nearly half of all new unicorns. However, AI unicorns haven’t built as robust of a commercial network as non-AI unicorns, per CB Insights Commercial Maturity scores, indicating their valuations are based more on potential than proven business models at this stage.
Tech leaders embed themselves deeper in the AI ecosystem. Major tech companies and chipmakers led corporate VC activity in AI during Q4’24, with Google (GV), Nvidia (NVentures), Qualcomm (Qualcomm Ventures), and Microsoft (M12) being the most active investors. This reflects the strategic importance of securing access to promising startups while providing them with essential technical infrastructure.

We dive into the trends below.

For more on key shifts in the AI landscape in 2025, check out this report on the implications of DeepSeek’s rise.

Massive deals drive AI funding boom

Globally, private AI companies raised a record $100.4B in 2024. At the quarterly level, funding soared to a record $43.8B in Q4’24, or over 2.5x the prior quarter’s total.

The funding increase is largely explained by a wave of massive deals: mega-rounds ($100M+ deals) accounted for 80% of Q4’24 dollars and 69% of AI funding in 2024 overall.

The year featured 13 $1B+ deals, the majority of which went to AI model and infrastructure players. OpenAI, xAI, and Anthropic raised 4 out of the 5 largest rounds in 2024 as they burned through cash to fund the development of frontier models.

Overall, the concentration of funding in mega-rounds reflects the high costs of AI development across hardware, staffing, and energy needs — and widespread investor enthusiasm around the AI opportunity.

But that opportunity isn’t limited to the largest players: nearly 3 in 4 AI deals (74%) were early-stage in 2024. The share of early-stage AI deals has trended upward since 2021 (67%) as investors look to ride the next major wave of value creation in tech.

Industry tech sectors lose ground in AI deals

Major tech sectors — fintech, digital health, and retail tech — are making up a smaller percentage of AI deals.

While the overall annual AI deal count has stayed steady above 4,000 since 2021, dealmaking in sectors like digital health and fintech has declined to multi-year lows. So, even as AI companies make up a greater share of the deals that do happen in these industries, the gains haven’t been enough to register in the broader AI landscape.

The data suggests that, amid generative AI’s ascendancy, AI companies targeting infrastructure and horizontal applications are drawing a greater share of deals.

With billions of dollars flowing to the model/infra layer as well, investors appear to be betting that the economic benefits of the latest AI boom will accrue to the builders.

Outside of the US, Europe fields high-potential AI startup regions

Although US-based companies captured 76% of AI funding in 2024, deal activity was more distributed across the globe. US AI startups accounted for 49% of deals, followed by Asia (23.2%) and Europe (22.9%).

Comparing median CB Insights Mosaic scores (a measure of private tech company health and growth potential on a 0–1,000 scale) for AI companies that raised equity funding in 2024 highlights promising regional hubs.

European countries dominate the top 10 countries by Mosaic score (outside of the US). Israel, which has a strong technical talent pool and established startup culture, leads the pack with a median Mosaic score of 700.

Overall activity on the continent is dominated by early-stage deals, which accounted for 81% of deals to Europe-based startups in 2024, a 7-year high.

The European Union indicated in November that scaling startups is a top priority, pointing to the importance of increased late-stage private investment in remaining competitive on the global stage.

AI M&A activity maintains momentum

The AI M&A wave is in full force, with 2024’s 384 exits nearly reaching the previous year’s record-high 397.

Acquisitions of Europe-based startups accounted for over a third of AI M&A activity in 2024. Among the global regions we track, Europe is the only one that has seen annual AI acquisitions climb for 4 consecutive years. Although the US did see a bigger uptick YoY (16%) in 2024, posting 188 deals.

In Europe, UK-based AI startups led activity in 2024, with 32 M&A deals, followed by Germany (18), France (16), and Israel (12).

Major US tech companies, including Nvidia, Advanced Micro Devices, and Salesforce, participated in some of the largest M&A deals of the year as they embedded AI across their offerings.

AI startups race to $1B+ valuations despite early market maturity

AI now dominates new unicorn creation. The 32 new AI unicorns in 2024 accounted for nearly half of all companies passing the $1B+ valuation threshold during the year.

These AI startups are hitting unicorn status with much smaller teams and at much faster rates than non-AI startups: 203 vs. 414 employees at the median, and 2 years vs. 9 years at the median.

These trends reflect the current AI hype — investors are placing big early bets on AI potential. Many of these unicorns are still proving out sustainable revenue models. We can see this clearly in CB Insights Commercial Maturity scores. More than half of the AI unicorns born in 2024 are at the validating/deploying stages of development, while non-AI new unicorns mostly had to get to at least the scaling stage before earning their unicorn status.

Tech leaders embed themselves deeper in the AI ecosystem

In Q4’24, the top corporate VCs in AI (by number of companies backed) were led by a string of notable names: Google (GV), Nvidia (NVentures), Qualcomm (Qualcomm Ventures), and Microsoft (M12).

As enterprises rush to harness AI’s potential, big tech, chipmakers, and other enterprise tech players are building their exposure to promising companies along the AI value chain.

Meanwhile, startups are linking up with these players to not only secure funding for capital-intensive AI development but also access critical cloud infrastructure and chips.

MORE AI RESEARCH FROM CB INSIGHTS

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Here’s how leading strategy teams are successfully driving generative AI adoption in their organizations

Thomas Hodson — Thu, 16 Jan 2025 14:58:50 +0000

Generative AI is the leading tech priority for corporate strategy teams in the next year.

But only 32% of strategy leaders report active genAI deployments at their organizations.

To identify pain points and success stories for genAI adoption, we surveyed 50 senior strategy leaders working at companies across major industries.

Download the full report to understand how leading strategy teams navigate genAI adoption, their key challenges, and the tactics separating successful implementations from stalled initiatives.

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State of Digital Health 2024 Report

Amrit Panjabi — Thu, 16 Jan 2025 14:00:30 +0000

Despite a small bump in funding, global digital health dealmaking continued to decline year-over-year (YoY) in 2024. In fact, digital health deal count dropped to its lowest annual total since 2014, reflecting a more cautious investment environment.

Mirroring trends in the broader venture market, AI proved to be a bright spot amid the downturn in digital health deals. In 2024, AI-focused companies secured 42% of digital health funding and accounted for 31% of deals — both record highs.

Download the full report to access comprehensive data and charts on the evolving state of digital health.

Key takeaways from the report include:

Digital health dealmaking continues to decline. Despite a slight increase in funding YoY, digital health deal count dropped again in 2024, hitting its lowest annual total (1,225) since 2014. Regionally, Europe saw the sharpest drop in deals, with a 29% YoY decline.
Fewer deals, bigger checks. The median digital health deal size jumped 39% YoY to hit a record high of $5.3M in 2024. The combination of declining deal volume and larger deal sizes suggests that selective investors are concentrating their resources on companies that meet heightened benchmarks in areas like clinical validation, commercial traction, and regulatory readiness.
AI takes center stage in digital health. In 2024, AI-focused companies captured 42% of digital health funding and 31% of deals — both record highs. The 5 largest AI-focused digital health deals were spread across diagnostics, drug development, and women’s health.
Digital health mega-rounds rebound in 2024. Mega-rounds ($100M+ deals) increased in 2024 after 2 years of decline, with the top 3 deals focused on drug discovery and development. Most top deals (7 out of 10) went to US-based companies, pointing to the region’s position as a hub for high-value digital health investment.

We dive into the trends below.

Digital health dealmaking continues to decline

Following 2 years of decline, digital health funding increased slightly in 2024, rising by 3% YoY.

However, digital health deal count fell for the third year straight in 2024. It dropped by 23% YoY to reach just 1,225 — its lowest level since 2014 — highlighting that investors remain cautious.

Regionally, Europe saw the steepest drop, with deal count shrinking 29% YoY to 258, despite a modest funding increase to $2.8B. Asia also experienced a decline, with deal count falling 19% YoY to 218, alongside a funding drop to $0.8B. While still the most active market, the US recorded a 19% YoY decline in deal count to 683, even as funding climbed to $11.7B.

Fewer deals, bigger checks

While the overall deal count fell, the median digital health deal size surged in 2024.

It climbed by 39% YoY to reach $5.3M — a record high.

This combination of factors suggests that selective investors are prioritizing companies that meet heightened benchmarks in areas like clinical validation, commercial traction, and regulatory readiness.

AI takes center stage in digital health

AI is commanding a growing share of digital health investment activity.

AI-focused companies captured 42% of total digital health funding and 31% of deal volume in 2024 — both record highs.

This surge reflects heightened investor confidence in AI’s ability to accelerate drug discovery, improve early disease detection, deliver personalized care, and more.

The top 2 AI-focused digital health deals in 2024 went to drug development platform Xaira Therapeutics. Freenome followed with a $254M Series F to expand its AI-driven early cancer detection tools, while Flo Health secured a $200M Series C to scale its personalized women’s health platform. BioAge Labs rounded out the top 5 with a $170M Series D to advance its AI-powered aging-related treatments.

As AI adoption grows across healthcare operations — from clinical and administrative workflows to drug development — healthcare providers and pharmaceutical giants will likely pursue strategic partnerships and acquisitions to maintain their competitive edge.

Digital health mega-rounds rebound in 2024

Digital health mega-round activity rebounded in 2024 after 2 consecutive years of decline, with deal count rising by 50% YoY to 33.

The top 3 mega-rounds of 2024 all went to drug discovery and development companies.

Xaira Therapeutics led the pack with two $500M rounds for its AI-driven drug discovery and development platform, followed by Formation Bio with a $372M Series D to advance its drug development efforts.

At the regional level, the US accounted for 7 of the top 10 mega-rounds in 2024, reflecting its position as a hub for high-value digital health investments.

MORE DIGITAL HEALTH RESEARCH FROM CB INSIGHTS

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State of Fintech 2024 Report

Laura Kennedy — Tue, 14 Jan 2025 14:00:41 +0000

Fintech funding and dealmaking declined again year-over-year (YoY) in 2024, hitting their lowest levels in 7 years.

However, some positive signals are emerging, including growing deal sizes and a pickup in M&A, with a focus on cybersecurity capabilities.

Download the full report to access comprehensive data and charts on the evolving state of fintech across sectors, geographies, and more.

Key takeaways from the report include:

Fintech dealmaking continues downward trend in 2024. Annual fintech deals and funding both dropped to 7-year lows in 2024. While deals dropped by 17% YoY to a total of 3,580, funding fell by 20% to $33.7B.
One positive signal: bigger deals. The median fintech deal size increased to $4M in 2024 — marking a 33% jump YoY — with deal sizes rising across every major global region. Across fintech sectors, the biggest jump occurred in banking, where the median deal size rose by 70% YoY to reach $8.5M. Though fintech saw fewer deals overall in 2024, the increase in deal sizes suggests that investors are writing bigger checks for companies with compelling growth potential.
M&A activity is also picking up. Fintech M&A exits jumped 24% quarter-over-quarter (QoQ) to 189 in Q4’24, with Stripe’s $1.1B purchase of stablecoin platform Bridge marking the quarter’s largest deal. Overall, fintech saw a total of 664 M&A exits in 2024 (up 6% YoY) as financial services companies sought to diversify their capabilities and build full-service platforms.
Mature banking companies are catching the eyes of investors. Banking saw mid- and late-stage deals rise to 38% of its total deal volume in 2024 (vs. 21% in 2023), outpacing the 4 percentage point increase in fintech more broadly. Uncertainty about new banking technology and regulatory volatility — particularly among banking-as-a-service players — is likely driving investors to more proven solutions.
Payments tech ends 2024 as a bright spot. Five of the top 10 equity deals in Q4’24 went to companies building payments solutions, from mobile payments apps to cross-border payments enablement tools to platforms digitizing B2B payments. This concentration of large deals within payments tech reflects the ongoing push to digitize commerce and business exchanges.

We dive into the trends below.

Fintech dealmaking continues downward trend in 2024

In 2024, annual fintech funding and dealmaking both decreased YoY, hitting 7-year lows.

However, there are signs that the fintech market is steadying. The annual decline in funding was fintech’s smallest in 3 years. Meanwhile, at the quarterly level, funding rebounded to close the year strong, increasing 11% QoQ to reach $8.5B in Q4’24.

One positive signal: bigger deals

While there are fewer fintech deals overall, deal sizes are climbing.

Following 2 consecutive years of decline, the median deal size in fintech jumped 33% YoY in 2024.

Across fintech sectors, banking saw the biggest jump in median deal size in 2024 — a 70% YoY increase to $8.5M.

This shift reflects increased investor selectivity in the current market. Companies that pass more rigorous due diligence are attracting larger investments, even as overall deal volume remains constrained.

M&A activity is also picking up

Fintech M&A deals jumped 24% QoQ in Q4’24.

US-based companies captured 8 of the largest 10 deals, including the top 5. Stripe’s $1.1B acquisition of Bridge was the largest of the quarter.

The quarterly increase points to broader stirrings of an M&A resurgence: for the year, fintech M&A exits rose by 6% YoY to 664 deals in 2024.

Acquirers are boosting capabilities across functions. For instance, Stripe’s purchase of stablecoin platform Bridge gives the company a stronger standing in the reinvigorated market for digital assets and boosts its cross-border payment capabilities. The deal also emphasizes stablecoins’ growing role in driving accessibility and stability within crypto’s current wave.

Bolstering cybersecurity was also a focus for acquirers in Q4’24, pointing to financial services companies’ push to integrate fraud detection in their product offerings. For example, in November 2024, IT company N-able bought Adlumin, which deploys its solutions to financial firms, to enhance its cybersecurity capabilities. In October, Socure — specializing in digital identity verification — acquired Effectiv to enhance its AI-driven fraud detection capabilities.

Mature banking companies are catching the eyes of investors

Early-stage deals made up a larger share of fintech investment activity in 2022-23, suggesting that investors shifted their focus toward nascent innovation requiring smaller capital commitments during the market slowdown.

The trend shifted in 2024, particularly in the banking sector. While mid- and late-stage deal share rose by 4 percentage points YoY across fintech broadly, it jumped 17 percentage points in banking.

Recent volatility in banking-as-a-service — such as Synapse’s bankruptcy in April — and intensified regulatory scrutiny are likely driving investors to more proven solutions.

Payments tech ends 2024 as a bright spot

Five of the 10 biggest fintech deals in Q4’24 went to payments companies, capping a relatively strong quarter for the sector. Despite a YoY decline, funding to payments companies rose by 20% QoQ to $1.8B in Q4’24.

Argentina-based mobile payments company Ualá secured a $300M Series E in Q4’24, tying home equity release firm Splitero for the largest round of the quarter.

Of the top payments deals, two went to companies automating accounts payable and other aspects of B2B payments (Melio and ASAAS). The opportunity to digitize B2B payments continues to expand, especially since businesses in many geographies still rely on manual processes.

Related resources from CB Insights:

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The foundation model divide: Mapping the future of open vs. closed AI development

Isabelle Selles — Wed, 08 Jan 2025 20:08:44 +0000

This is part 1 of 2 in our series on the generative AI divide. In part 2, we will cover considerations for enterprise adoption of open & closed models.

The divide between open-source and closed-source AI models is reshaping tech industry dynamics.

Tech leaders have staked out clear positions: Meta and xAI are open-sourcing models like Llama 3.1 and Grok-1, while Google and OpenAI have largely walled off their systems. Investment flows are also split between both approaches. Since 2020, private open-source AI model developers have attracted $14.9B in venture funding, while closed-source developers have secured $37.5B — reflecting different bets on how AI innovation will unfold.

The core difference lies in access: closed-source approaches keep model details and weights proprietary, while open-source development makes these elements available so models can be more freely studied, run, and adapted.

Companies building generative AI applications must understand this evolving landscape as it has crucial implications for the infrastructure they adopt. Based on current trends, we expect:

Consolidation around frontier models: Closed-source models from players like OpenAI, Anthropic, and Google will dominate the market. Only tech giants like Meta, Nvidia, and Alibaba are likely to sustain the costs of developing open-source models that can compete on performance with proprietary ones. Frontier model training costs are growing 2.4x annually, driven by hardware, staffing, and energy needs, according to Epoch AI.
Revenue and investment gaps threaten open-source model developers’ viability: While burning cash, closed-source leaders like Anthropic and OpenAI lead the private market in funding, revenue, and commercial traction. Open-source developers face similar costs but struggle to generate revenue or attract capital investment ($14.9B vs. closed-source’s $37.5B since 2020). This suggests they will move to commercialize their closed models (e.g., Mistral AI) and/or pivot to smaller, specialized offerings (e.g., Aleph Alpha).
Smaller models drive open-source adoption: Industry leaders, alongside a range of smaller players, are releasing smaller, specialized open-source models, as evidenced by Microsoft‘s Phi, Google’s Gemma, and Apple‘s OpenELM. This suggests a two-tier market for enterprises evaluating the landscape: closed-source frontier models for the most sophisticated applications and open-source smaller models for edge and specialized use cases.

Below, we use CB Insights data to map out the open-source and closed-source AI landscape. Our analysis focuses on foundation models — the powerful, general-purpose AI systems that form a critical infrastructure layer.

CB Insights customers can track every company mentioned in this analysis using this search. We used the Generative AI — large language model (LLM) developers and Generative AI — image generation market profiles to establish the private market landscape, focusing on companies that have received funding and are developing foundation models.

Consolidation around frontier models

Industry leaders are divided in their approaches
Closed-source developers lead the private market in equity funding
Performance gaps converge, with largest companies’ models topping leaderboard

Revenue and investment gaps threaten open-source model developers’ viability

OpenAI dominates LLM adoption and revenue, followed by Anthropic
Open-source’s path to revenue remains unclear
Investors hedge their bets

Smaller models drive open-source adoption

A wave of smaller foundation model players will move away from frontier model development
Market bifurcation accelerates

Consolidation around frontier models

Industry leaders are divided in their approaches

Many big tech companies — like Google and Apple — are releasing a combination of open and closed models, typically keeping their flagship models proprietary while releasing lighter-weight open models as an extension of their research efforts.

Meta and Nvidia, meanwhile, are also open-sourcing flagship models.

Note: When developers “open-source” AI models, they do so on a spectrum, publicly disclosing some combination or element of the: model weights (the learned parameters of a neural network, crucial for the model’s performance and capabilities as they encapsulate the knowledge acquired during training), underlying source code, and original training data. Open-sourcing may also involve licensing the model for free commercial use.

Open-source proponents are preparing for an open-source future

Meta CEO Mark Zuckerberg wrote in July that “Meta is committed to open source AI,” with the belief that an open ecosystem will eventually become the standard. On earnings calls, Meta is the most active big tech company in terms of open-source mentions.

At the same time, Zuckerberg acknowledged in April on Dwarkesh Patel’s podcast that the company will only continue open-sourcing “as long as it’s helping us.”

In July 2024, Meta released the model weights for its latest Llama model family so developers can fine-tune the model (train it on custom data). However, the source code and model architecture remain unavailable, limiting full modification or analysis. Meanwhile, Nvidia released both the model weights and training code for its NVLM 1.0 family of large multimodal language models in September 2024.

Closed-source proponents view revenue as crucial for top resources and talent

For example, Baidu CEO Robin Li said in an internal memo that open-source models “make little sense.” From a business perspective, he noted, “Being closed source allows us to make money, and only by making money can we attract computational resources and talent.”

Safety remains central to the debate

Critics of open-source AI models fear they will be misused by malicious actors to access harmful information (like how to build a bomb or write code for a cyber attack). They also raise national security concerns, with critics suggesting foreign actors’ ability to use open-source models to advance military applications (like weapons systems and intelligence tech) will undermine strategic advantages held by countries that currently lead in AI development.

Closed models use techniques like Reinforcement Learning by Human Feedback (RLHF) during fine-tuning to limit the harmful content the model can produce. Open models, meanwhile, are more likely to be deployed without these safeguards.

On the other hand, open-source AI proponents argue, as highlighted in Mozilla’s Joint Statement on AI Safety and Openness with 1,800+ signatories, that increasing access to foundation models will ultimately make them safer, thanks to increased transparency, scrutiny, and knowledge sharing.

Closed-source developers lead the private market in equity funding

The private market is also split, with closed developers leading in equity funding.

While both Mistral AI and xAI are proponents of open-source, both of their flagship models are currently closed.

The cost to develop frontier models — taking into account hardware, staffing, and energy consumption costs — is growing 2.4x per year. This is driving the fundraising race.

Performance gaps converge, with largest companies’ models topping leaderboard

Leading open-source models, like Meta’s largest Llama model, are making their way onto the MMLU leaderboard — a test that evaluates a language model’s knowledge and reasoning skills. The expanded version, MMLU-Pro, includes more challenging questions to assess advanced reasoning capabilities in AI models.

At the same time, proprietary models continue to outpace open-source ones by several months in terms of release dates.

The leaderboard itself is dominated by the largest companies in both big tech and the private market, indicating market consolidation at the frontier level.

At this stage, a16z partner Marc Andreessen has posited we could be approaching a “race to the bottom” — a future point where there are no moats for foundation models, and open-source performance is on par with closed-source. This has come into focus in recent months as frontier labs like OpenAI and Google have focused on smaller model development and other products (like agents) as performance gains slow and as release dates for the largest models (such as a potential GPT-5) get pushed back.

Below we look at how revenue and adoption gaps in the private market also point to increasing consolidation.

Revenue and investment gaps threaten open-source model developers’ viability in the private market

OpenAI dominates LLM adoption and revenue, followed by Anthropic

As LLM developers burn through cash, the focus has shifted to customer adoption — and revenue.

Based on CB Insights business relationship data, OpenAI is far ahead of its peers in terms of its disclosed partnerships and client relationships.

This business relationship analysis is limited to publicly disclosed partnership, client, and licensing agreements for pure-play model developers to highlight adoption trends. Relationships are not exhaustive and are directionally representative of trends across model developers’ partner and client relationships.

In terms of revenue, OpenAI leads, with projections of $3.7B in annual revenues for 2024 and $11.6B for 2025. However, it’s also been burning cash: the company projected midway through the year that it would lose $5B in 2024.

Open-source’s path to revenue remains unclear

While revenues for open-source model developers are not publicly available in most cases, reports suggest revenue generation is more limited — especially given the competition from Meta’s Llama.

The embattled Stability AI reportedly generated $8M in 2022 and less than $5M in the first quarter of 2024 (while losing over $30M). In June 2024, it secured an $80M funding deal that included the forgiveness of $100M in debts owed to cloud providers and other suppliers.

Meanwhile, Mistral AI has an unclear path to revenue, per The Information reporting — it sells access to its API, and under 10% of its users pay for Mistral’s larger commercial models through partners. Most of its smaller, open-source models are free.

Source: CB Insights — Mistral funding insight

Following the traditional approach to monetizing open-source businesses — building paid support offerings or tools (plugins, security, migration, apps on top) around the open-source core — some model developers are now building more enterprise capabilities into their platforms.

For example, Databricks offers security and other paid support services around its open-source LLM, DBRX. Similarly, Aleph Alpha launched in August 2024 a “sovereign AI” platform designed to help corporations and governments deploy LLMs (not necessarily its own) with added control and transparency features to serve the European market.

Investors hedge their bets

Most leading investors in private foundation model developers have backed companies developing both closed and open models.

Corporate investors figure heavily — Nvidia, Alibaba, and Microsoft, for example, have offered computing power and funds for development. These investments are aimed at feeding their core business focuses, such as AI chips and cloud computing. AWS, Azure, and Google Cloud all host both open and closed models.

Venture investors are taking sides:

Coatue, the leading VC by unique companies backed, has called open source “the heartbeat of AI.” It’s taking a complementary approach: “We see open-source models as firmly having a place alongside proprietary ones.”
a16z’s founders are proponents of open-source models, arguing that their transparency and accessibility will help ensure that AI is developed securely and ethically. In 2024, the two largest a16z-backed AI deals went to open-source LLM developers xAI and Mistral AI.
Meanwhile, Founders Fund partner John Luttig has argued that the future of foundation models is closed-source. Khosla Ventures’ Vinod Khosla (a backer of OpenAI) also argues in favor of closed-source AI for safety reasons.

The investor split reflects uncertainty over which ecosystem will dominate and where the greatest value creation will occur. The relative difference in funding totals ($14.9B in equity funding to open-source model developers vs. $37.5B to closed-source), as well as the data available on revenue, suggests that a closed approach for private developers appears poised to win out, especially given the most performant open models at this point are from big tech leaders.

Smaller models drive open-source adoption

A wave of smaller foundation model players will move away from frontier model development

The conditions of a) high compute costs, b) limited moats, and c) competition from big tech have created a market ripe for a shake-up.

We’re seeing a wave of smaller foundation model players:

Collapse into big tech: Adept, Inflection, and Character.AI have all essentially been “acqui-hired” by big tech companies, with founders and large portions of teams joining the acquirers. These deals reflect the high costs of model development, with licensing payments often directed to investors.
Paywall frontier models: Some open-source AI developers now sell access to premium models while keeping basic versions free — similar to strategies used by big tech. For example, Mistral AI’s flagship model Mistral Large is built for commercial use (not open-source) and is available on Azure in partnership with Microsoft.
Focus on smaller, open-source models: Developers like Germany-based Aleph Alpha and Israel-based AI21 Labs have shifted in 2024 from competing on general-purpose LLMs to building lighter-weight, optimized models and related AI tools. These models are open-source, with paid services layered on top.

Market bifurcation accelerates

Based on these trends, the AI model market is splitting into two tiers:

Frontier models are largely dominated by closed-source offerings from well-funded players (OpenAI, Anthropic, Google), which can sustain growing compute costs. Meta’s Llama remains the most notable open-source alternative.
Smaller models, optimized for specific use cases or edge deployment, are supported by a growing open-source ecosystem. These small language models (SLMs) have fewer parameters than LLMs, making them cheaper to train and easier to run.

Industry leaders are releasing smaller, open-source models to advance research efforts and to promote edge applications: Google with Gemma, Microsoft with Phi, and Apple with OpenELM.

For example, Microsoft highlighted in a recent earnings call:

“We have also built the world’s most popular SLMs, which offer performance comparable to larger models but are small enough to run on a laptop or mobile device. Anker, Ashley, AT&T, EY, and Thomson Reuters, for example, are all already exploring how to use our SLM Phi for their applications.” — Satya Nadella, CEO of Microsoft, Q2’24 Earnings Call

Meanwhile, of the 11 private SLM development platforms we identified, roughly half are already in the process of deploying their products.

Smaller, open models are also gaining traction in sectors like financial services and healthcare, where keeping sensitive data on-premises can be a need.

For example, a VP of machine learning at a health insurance company needed a solution for training healthcare models and looked to Hugging Face’s open-source library. In our May 2024 conversation, the buyer highlighted the opportunity of SLMs for their use case:

“I really think small language models are the future. You don’t need these huge proprietary LLMs for the vast, vast majority of use cases that you’re dealing with, especially some of the administrative burden in healthcare that we deal with.”

VP of Machine Learning,
Publicly traded multinational health insurance company

For now, it’s clear a hybrid approach is winning with enterprises: they will look to closed-source frontier models for the most sophisticated applications and open-source smaller models for edge and specialized use cases.

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State of Venture 2024 Report

Alex Lee — Tue, 07 Jan 2025 15:00:28 +0000

AI has reshaped the venture landscape, capturing a record share of funding (37%) and deals (17%) in 2024, including 5 of the year’s largest deals.

But beyond the momentum building in AI, global deal activity plunged 19% YoY to its lowest level since 2016, creating both challenges and opportunities for investors and corporate strategists.

Download the full report to access comprehensive data and charts on the evolving state of venture across sectors, geographies, and more.

Key takeaways from the report include:

AI is eating VC. In 2024, AI represented 37% of venture funding and 17% of deals — both all-time highs. AI infrastructure players raised all of the top 5 venture deals of the year, with 4 closing in Q4’24 alone — driving a 2-year high in quarterly funding. With nearly 3 in 4 (74%) AI deals being early-stage in 2024, investors are staking out early claims to reap the rewards of the tech’s potential.

Aside from AI, venture dealmaking is in a drought. Globally, deal activity fell 19% YoY to 27K in 2024 — its lowest annual level since 2016. The drop was most pronounced in countries like China (-33% YoY), Canada (-27%), and Germany (-23%). However, several countries in Asia — Japan, India, and South Korea — have bucked the downward trend. Their resilience suggests attractive investment conditions.

AI and industrial automation are common themes among the fastest-growing tech markets. Out of 1,400+ tech markets that CB Insights tracks, those with the highest rate of YoY deal growth include enterprise AI agents, genAI for customer support, industrial humanoid robots, and autonomous driving systems. Expect these technologies to continue maturing in 2025, increasing their disruptive potential.

Despite market uncertainty, early-stage valuations hit a record-high median of $25M in 2024. Investors are packing into early-stage rounds to ride the next major wave of value creation in tech, likely drawn by startups’ ability to now build products with less capital and fewer people thanks to AI tools and infrastructure. However, early-stage startups could face a reality check when they try to raise later-stage rounds if they have yet to prove they can sustain growth. Although mid- and late-stage deal valuations rebounded slightly vs. 2023, they remain muted compared to 2021 and 2022.

IPO timelines get delayed. From first funding to IPO, VC-backed companies that went public in 2024 waited a median of 7.5 years — 2 years longer than in 2022. Amid unfavorable market conditions, some late-stage players like Stripe and Databricks have resorted to raising additional equity funding or selling private shares in lieu of going public. This allows them to create liquidity for early investors and employees when the path to a public debut is rocky.

We dive into each trend below.

AI is eating VC

The 5 largest deals of the year all went to AI model and infrastructure players (led by Databricks’ $10B Series J, followed by a $6.6B round for OpenAI, two $6B rounds for xAI, and a $4B round for Anthropic). But the activity isn’t limited to the largest, most well-resourced AI players.

Across the board, AI companies are capturing a higher share of deal volume — nearly one in 5 deals (17%) now go to AI companies, almost triple the share from 2015 (6%). AI deal volume remained above 4,000 for the fourth year in a row.

The boom is providing tailwinds for every stage of the startup lifecycle, from early-stage companies — which take 3 out of 4 deals in AI — to startup exits. The AI M&A wave is in full force, with 2024’s 384 exits nearly rivaling the previous year’s record-high 397.

This trend will continue in 2025 as incumbents look to grab AI tech and talent and build end-to-end AI offerings. Get the full breakdown of what AI M&A means for corporate strategy in our Tech Trends 2025 report.

In Q4’24, the AI boom helped fuel a substantial rebound in global funding. The quarter’s funding tally reached $86.2B — a 2-year high, and an increase of 53% quarter-over-quarter (QoQ).

60% of that quarterly total, or $52B, came from mega-rounds (deals worth $100M+) — nearly tying Q1’21 (61%) for the highest share ever across venture.

At the same time, quarterly deal volume steadily declined throughout 2024, including slipping below 6,000 in Q4’24 for the first time since 2016.

Aside from AI, venture dealmaking is in a drought

Despite AI’s surge, most venture sectors face their worst dealmaking drought in nearly a decade, forcing investors to adjust their strategies. Many investors are taking a more selective and risk-off approach right now as they wait out macroeconomic volatility and geopolitical tensions.

Among major dealmaking countries and regions (those seeing 500+ deals per year), the slump was most pronounced in China (-33% YoY drop in deals), Canada (-27%), and Germany (-23%).

However, several countries in Asia bucked the trend and notched slim YoY gains: Japan (+2%), India (+1%), and South Korea (+1%). These countries have invested heavily in developing their startup ecosystems and may be benefiting indirectly from investors diverting funds away from China.

AI and industrial automation are common themes among the fastest-growing tech markets

AI and industrial automation are at the center of some of the fastest-growing markets in tech.

We filtered CB Insights’ 1,400+ tech markets for those with at least 20 equity deals over the last 2 years, then singled out those with the strongest deal growth YoY in 2024.

The enterprise tech and industrials sectors dominate, comprising 9 of the top 10 tech markets. Advancements in generative AI are fueling much of the activity in areas like humanoid robots and autonomous driving systems. Investors are also backing tech companies improving industrial processes like water treatment and purification, with deals to the market more than doubling YoY.

The enterprise tech and industrials sectors are also seeing a wave of hiring, as they lead in YoY headcount growth among all sectors. Industrials markets saw an average of 11% headcount growth last year, followed by enterprise tech markets with 10%.

Financial services and the consumer & retail industries are noticeably absent from the top 10 fastest-growing markets. Given the tough venture landscape, emerging technologies in these areas face an uphill battle.

Early-stage deals are showing strength

Globally, early-stage dealmaking represents one of the most vibrant areas of venture right now, with median deal size and valuation reaching all-time highs in 2024.

The seed/angel and Series A stages remain resilient despite the broader downturn, in part because investors view them as a safe haven to ride out late-stage challenges like constricted exit opportunities and capital constraints. Deal sizes and valuations for the mid- and late stages rebounded slightly vs. 2023 but were muted when compared to the boom times of 2021 and 2022.

Corporate strategy and development teams seeking out early-stage opportunities can see 900+ high-potential startups here. To identify these players, we looked at the nearly 11,000 VC-backed startups that raised seed or Series A rounds in 2024, then filtered for those with the healthiest businesses (600+ Mosaic score) and strongest management teams (600+ Management Mosaic score).

IPO timelines get delayed

Most tech firms continue to shirk the IPO market. Some are still waiting for macroeconomic conditions to stabilize, while others prefer to focus on topline growth without having to deal with the financial scrutiny that comes with being a public company.

This is pushing back the timelines for IPO-ready companies even further.

From first funding to IPO, VC-backed companies that went public in 2024 waited a median of 7.5 years — 2 years longer than in 2022.

While Q4’24 saw an uptick in global IPOs, activity remains down vs. historical levels. In the current climate, many late-stage startups will likely opt instead to raise more private funding to sustain operations and pay out employees or early investors.

Related resources from CB Insights:

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$1B+ Market Map: The world’s 1,249 unicorn companies in one infographic

Alex Lee — Tue, 10 Dec 2024 22:00:30 +0000

Becoming a unicorn remains a rare phenomenon in the startup world. Just 24 companies passed the $1B valuation threshold last quarter — a fraction of the 100+ unicorns minted each quarter from 2021 through early 2022.

But the overall slowdown only tells part of the story. Within this smaller pool of new billion-dollar companies, AI startups have come to dominate, comprising 44% of new unicorns this year — a 7x increase in share over the last decade.

Here’s what today’s unicorn landscape signals about the future of tech:

AI dominates new unicorn creation — 2024 has seen 72 companies become unicorns, and 32 of these (44%) are AI startups. These AI players are reaching unicorn status far faster (median of 2 years) than non-AI companies (median of 9 years). As AI capabilities advance at a rapid pace — across domains from intelligent robotics to coding AI agents — corporations that delay AI adoption risk falling behind their competitors.
Valuations are under pressure — Over one-third of the 1,200+ current unicorns haven’t raised funding since 2021, and over 100 of these companies were last valued at exactly $1B — meaning a down round would take their unicorn status away altogether. These represent potentially distressed assets that cash-rich incumbents and corporate development teams would want to snap up.
Next in line for an exit — Among today’s unicorns, 110 stand out with IPO probabilities above 20% (anywhere from 31x to 64x that of the average company we track). Another 25 have equally high M&A probability scores, making them prime acquisition targets for incumbents looking to expand their tech and market reach.

Market map of billion-dollar startups

On paper, today’s unicorns are collectively worth over $4T.

However, it’s unlikely that many of these 1,200+ companies are worth as much as their latest valuation, given how dramatically the venture landscape has changed since the heady days of 2021/22. Since then, tighter capital markets have applied downward pressure on public and private tech company valuations alike.

Over one-third of current unicorns haven’t raised a funding round since 2021. If they were to raise in today’s climate, they’d likely face a valuation cut. That includes over 100 unicorns that were last valued at exactly $1B — meaning any valuation reduction would strip them of their unicorn status.

With venture funding at its lowest level since 2016/17, unicorns in need of cash are likely considering an exit. Some have been waiting years for the IPO market to open up so they can access capital and compensate employees without further diluting their business. Others will need to accept sales at discounted prices.

Unicorns most likely to exit via IPO or M&A

Per CB Insights’ Exit Probability scores — which measure a company’s likelihood to exit in the next 2 years, based on 70+ data points — a select cohort of unicorns emerges as the most likely candidates for IPO and M&A.

110 unicorns have a 20% or higher chance of IPO’ing in the next 2 years — anywhere from 31x to 64x the likelihood of the average company we track. Recent tech IPOs have performed well relative to the cold snap of 2022/23, particularly for companies benefiting from the AI boom. This will likely open the doors to other IPO hopefuls like Klarna, which is reportedly considering debuting as soon as H1’25.

A smaller segment of unicorns has an M&A exit probability of 20%+ (from 2x to 5x the average). This includes unicorns like AI data company Tresata (38% M&A probability) and fleet management & telematics provider Radius (33%), both of which have faced headcount reductions over the last year.

These acquisition targets could offer incumbents a way to quickly add new tech and talent as well as expand their customer base and market reach.

AI has become a unicorn factory

The current AI boom is a driving force behind new unicorn creation.

In 2024 so far, 44% of new unicorns have been AI companies. This is by far the highest share that AI has seen over the past decade, representing over 7x growth during that time (from 6% in 2015).

What’s more, these AI startups are hitting unicorn status with 1) much smaller teams and 2) at much faster rates.

Among new unicorns in 2024, the median AI unicorn has just 203 employees and reached unicorn status in 2 years from its founding date. For comparison, the median non-AI company to become a unicorn did so with double the team size (414 employees) and a much longer life-span (9 years).

The size of these AI teams — and the speed with which they attain unicorn status — points to several underlying factors. For one, today’s AI startups may be able to do more with less — they can use their AI expertise to automate certain functions and scale faster with less staffing than a non-AI company.

But there’s a likely bigger factor at play: With the current pace of AI advances, alongside the sheer amount of AI hype, AI startups are able to earn investors’ attention earlier and with less to show for their business than non-AI companies. The AI opportunity means many of these startups can bank on fast revenue growth, though it’s unclear how sustainable that is — or when, if ever, that revenue will translate into profit.

Nevertheless, the breadth of the AI opportunity — across industries, business models, and audiences — means that there is still plenty of white space for these startups to carve out niches.

Among this year’s new unicorns, some of the smallest AI teams include:

World Labs: 18 employees (founded 2024, valued at $1B)
Skild AI: 19 employees (founded 2023, valued at $1.5B)
Sakana AI: 34 employees (founded 2023, valued at $1.5B)
Cognition AI: 49 employees (founded 2023, valued at $2B)
Poolside: 75 employees (founded 2023, valued at $3B)

Notably, these startups point to several emerging areas of opportunity in AI:

Intelligent robotics and embodied AI — Both World Labs and Skild AI are working toward making AI systems that can better understand and interact with the physical world. This is also an area where OpenAI is getting involved, via investments in other unicorns like Figure and Physical Intelligence.

Coding AI agents & copilots — Cognition AI and Poolside both focus on automating software engineering. Equity funding to coding AI agents & copilots has exploded this year, nearly tripling to reach $1.8B.

RELATED RESEARCH FROM CB INSIGHTS:

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Digital Health 50: The most promising digital health startups of 2024

Amrit Panjabi — Tue, 03 Dec 2024 14:00:22 +0000

CB Insights has unveiled the winners of the 2024 Digital Health 50 — a list of the world’s 50 most promising private digital health companies, selected based on a combination of data signals and proprietary scoring.

For health system CIOs, digital health investors, and life sciences executives, this list spotlights companies to explore for technology adoption, investment opportunities, and strategic partnerships as healthcare shifts toward AI-driven infrastructure, advanced diagnostics, and specialized care platforms.

Four key themes emerged from this year’s cohort:

- AI will become foundational to infrastructure across healthcare, as evidenced by 36 of the 50 companies building AI products, from insurance claim copilots (Alaffia Health) to specialized healthcare LLMs (Hippocratic AI). These startups reflect the start of a broader shift for AI from powering point solutions to becoming an essential part of healthcare delivery for patients.
- Diagnostic innovations continue to dominate, representing the most crowded category on last year’s list and tying for the largest category this year, with 11 companies developing tools across imaging (Airs Medical), pathology (Proscia), and non-invasive diagnostics (Alimetry). These next-generation diagnostics look to make testing more accessible and non-invasive while prioritizing early detection.
- Virtual and hybrid care companies more than doubled in this year’s cohort, with 11 companies in this category, up from 5 last year. The increase reflects the growing number of specialized platforms in areas including mental health (Talkiatry) and cancer care (Resilience), signaling the shift from general telemedicine toward condition-specific virtual care models.
- Workflow efficiency emerges as a key priority heading into 2025, with 19 companies streamlining administrative and clinical tasks, from medical document processing (Tennr) to ambient documentation (Abridge). The surge of automation solutions here signals that healthcare organizations will prioritize efficiency amid staffing shortages to help shift provider time from paperwork to patient care.

Our selection of winning companies followed a rigorous three-step process.

From a pool of 10,000+ digital health startups, we analyzed companies using CB Insights’ proprietary metrics — Commercial Maturity and Mosaic scores — along with additional data on partnerships, funding, patents, leadership, and headcount.

Companies with high Mosaic scores (> 500) and recent market activity advanced to our shortlist of 1,500 candidates. We supplemented this analysis with direct company submissions via Analyst Briefings.

Our analysts then evaluated strategic partnerships, market adoption, and growth metrics to identify the 50 most promising digital health companies.

2024 DIGITAL HEALTH 50 COHORT HIGHLIGHTS

Funding and deals

The 2024 Digital Health 50 companies have raised $3.5B across 171 disclosed equity deals (as of 11/14/2024). Monogram Health and Abridge lead the cohort in disclosed equity funding, with $555M and $208M, respectively.

In 2024 so far, the cohort has raised $1.6B across 47 disclosed equity deals. The largest deals include:

Abridge — $150M Series C
Superluminal Medicines — $120M Series A
Grow Therapy — $88M Series C
CytoReason — $80M Series A
Ambience — $70M Series B

The recipients of these top deals are largely focused on 2 AI applications: streamlining clinical documentation (Abridge and Ambience) and accelerating drug discovery (Superluminal Medicines and CytoReason).

Stage breakdown

Fifty-six percent of the 2024 Digital Health 50 companies are early-stage (seed or Series A). In comparison, 44% of winners are mid-stage (primarily Series B or C) companies.

Top investors

Andreessen Horowitz leads VC investors (including CVCs) in the number of 2024 Digital Health 50 winners backed (8). Its investments span various areas within digital health, including:

D2C health testing — Function Health
Clinical intelligence — Ambience, Hippocratic AI, Scribenote
Virtual & hybrid care — Talkiatry, Pomelo Care
Price transparency — Turquoise Health
Administrative workflow optimization — Tennr

Andreessen Horowitz is followed by BoxGroup, General Catalyst, and NVentures (Nvidia’s venture arm), each with 5 winners backed.

All 5 of NVentures’ portfolio companies are building AI products. They are split between clinical intelligence (Hippocratic AI, Abridge, Artisight) and drug discovery (Iambic Therapeutics, Superluminal Medicines).

Healthcare systems and other big tech players are also active investors in the 2024 Digital Health 50. Mayo Clinic, Memorial Hermann, and Google Ventures have each invested in 3 companies on this year’s list.

Geographic distribution

This year’s Digital Health 50 companies are headquartered across 9 countries. Most companies (36) are based in the United States.

Germany has the largest representation outside of the US — 3 companies are headquartered in the country. It is followed by Canada, Israel, South Korea, and the United Kingdom, each with 2 companies.

Additional countries represented include New Zealand, Belgium, and France, each with 1 company.

Headcount growth

The 2024 Digital Health 50 companies collectively employ more than 7,500 people, with 4 companies employing about 40% of the cohort’s workers: Grow Therapy, Nourish, Monogram Health, and Octave.

Three companies — Tennr, Nourish, and Pomelo Care — have demonstrated the strongest headcount growth over the past year, with 12-month (September 2023–2024) headcount increases of 320%, 250%, and 244%, respectively.

This year’s winners collectively created more than 2,900 jobs over the period, with Grow Therapy creating the most jobs (800).

The median 2024 Digital Health 50 winner has raised $487K in equity funding per employee. Superluminal Medicines leads the pack, raising $8.1M per employee, followed by Chai Discovery ($4.3M) and Iambic Therapeutics ($2.6M).

Company health

The average Mosaic score — a proprietary measure of private company health and growth potential — for the 2024 Digital Health 50 is 771 out of 1,000 (as of 11/14/2024).

Forty companies in this year’s cohort have a Mosaic score of 700 or higher, placing them among the top 4% of private companies tracked by CB Insights.

Midi and Nourish lead the cohort with the highest scores — 932 and 887, respectively.

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15 tech trends to watch closely in 2025

Isabelle Selles — Tue, 19 Nov 2024 15:43:16 +0000

AI advances have ushered in a new wave of opportunity in tech.

Our 2025 Tech Trends report provides a concrete roadmap for corporate leaders to navigate some of the most important technology shifts in the year ahead.

We include specific recommendations for action so that business leaders can get ahead of the next wave of value creation.

Here is a selection of key findings from the report:

AI agents are given money to spend: AI agents’ utility is limited until they can make transactions seamlessly. A small group of tech players is building new infrastructure to make that happen.
The future data center arrives: With data center power usage expected to more than double by 2026, big tech companies are morphing into energy innovators to support AI workloads. There’s a huge opportunity in improving data centers’ energy efficiency.
Investment floodgates open for RNA therapeutics: RNA therapeutics developers are pioneering new ways to treat traditionally “undruggable” diseases, with a growing focus on neurodegenerative disorders like Alzheimer’s and Huntington’s diseases.
AI M&A fuels the next wave of corporate strategy: AI’s share of corporate tech M&A has doubled since 2020. Tech incumbents like Nvidia, Salesforce, and Snowflake, as well as consultancies like Accenture, are rapidly acquiring AI startups to tap into enterprise demand.
Disease management enters a new phase with AI: AI is improving care delivery across 3 key areas of disease management: precise symptom evaluation; testing/screening for earlier disease detection (including before symptoms even appear); and finding at-risk individuals in datasets of entire patient populations.
Retail’s personalization imperative: Generative AI is unlocking 1:1 experiences across commerce touchpoints, with leaders like Target seeing a corresponding 3x boost in conversation rates. Personalization will become omnipresent in retailers’ offerings.
And much more

Methodology

Our analysis relies on a wide range of CB Insights datasets, including financing and acquisition data, valuations, founding team and key people data, earnings transcripts, and more. We also leverage CB Insights’ proprietary scoring algorithms to measure business health (Mosaic) and maturity (Commercial Maturity), as well as the likelihood of acquisition (M&A Probability score). Throughout the report, we provide CB Insights customers with jumping-off points to dig deeper into the data behind the report.

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State of Insurtech Q3’24 Report

Chris Sekerak — Thu, 14 Nov 2024 14:00:36 +0000

Global insurtech funding held steady at $1.4B for the second consecutive quarter in Q3’24. However, unlike the prior quarter, most of the funding came from just 5 mega-rounds (deals worth $100M+).

Q3’24 also saw the most selective dealmaking environment in years, although there were notable bright spots — in the early stages of funding, in the life & health insurance segment, and among France’s insurtechs.

Download the full report to access comprehensive data and charts on the evolving state of insurtech across sectors, geographies, and more.

Below, we cover key shifts in the landscape, including:

Quarterly insurtech funding holds mostly steady from Q2’24, at $1.4B. In Q3, the funding was evenly split across both P&C and life & health (L&H) segments — one of just 3 quarters since 2020 where L&H insurtechs have rivaled P&C for quarterly funding.

Insurtech fared better in Q3’24 than the broader venture environment, which saw funding decrease 20% quarter-over-quarter (QoQ). In fact, on a year-over-year basis, insurtech funding grew in Q3 by 27%.

A majority of insurtech funding goes to $100M+ mega-round deals for the first time since Q3’22. Q3’24 saw mega-round funding and deals — $0.8B across 5 deals — surge to a 2-year high.

Altana AI, which offers a supply chain risk platform, raised the largest insurtech equity deal in 2024 so far ($200M Series C) from investors including Google Ventures and Salesforce Ventures. The deal valued Altana AI at $1B, making it the first new insurtech unicorn of 2024 so far. Insurtechs that offer Medicare Advantage plans raised 2 of the other mega-round deals, Devoted Health ($112M Series E) and Zing Health ($140M Series A).

Insurtech deal count falls to an 8-year low. Q3’24 saw global insurtech deal count decline to 77, falling 10% QoQ and 42% YoY. Q2’16 was the last quarter to see fewer insurtech deals (60).

Even so, the drop is in line with a broader decline in venture dealmaking. Also, across insurtech and the broader venture environment, the percentage of deals by deal stage (i.e., early, mid-, late, or other) has been without drastic swings in recent years.

The median early-stage insurtech deal size has reached a record high, increasing from $2.5M in 2023 to $4M in 2024 so far. This signals that investors remain bullish on early-stage dealmaking despite the broader decline in funding and deals.

Comparatively, the median early-stage insurtech deal size only reached $3M in 2022 amid the venture funding boom.

Three of the 10 largest insurtech deals in Q3’24 were early-stage.

France-based insurtechs raise 83% of Europe’s insurtech funding in Q3. Five France-based insurtechs raised a combined $385M in Q3’24, including mega-round deals for health insurer Alan ($193M Series F) and pricing platform Akur8 ($120M Series C).

Globally, only insurtechs from France and the US appeared among the 10 largest insurtech deals of the quarter.

RELATED RESEARCH FROM CB INSIGHTS:

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State of Climate Tech Q3’24 Report

Thomas Hodson — Thu, 07 Nov 2024 14:00:34 +0000

Q3’24 saw climate tech funding and deals reach their lowest points in 4 years.

Despite the declines, global regions like the US and Europe have made gains in median deal sizes this year, and both the US and EU continue to provide government grants and loans to climate tech solutions. China, on the other hand, has rolled back some of its clean energy subsidies, and VC enthusiasm has waned in the country this year.

Globally, governments are focusing more on early-stage technologies that are ready for commercialization. Two prime examples in the US are nuclear fusion energy and direct air capture of CO2, both of which have received substantial funding from the US Department of Energy this year.

Download the full report to access comprehensive data and charts on the evolving state of climate tech across sectors, geographies, and more.

Below, we cover key shifts in Q3’24.

Climate tech funding falls to $4.8B in Q3’24, marking the lowest point since Q2’20. Venture capital has shifted away from the sector as high interest rates impact climate tech’s capital-intensive projects and as investors pivot toward AI, which tends to feature more rapid developments and shorter commercialization timelines.

M&A activity drops dramatically in Q3’24, with only 43 deals completed — a more than 50% decline from the previous quarter. While notable exits like Kyte Powertech ($277M valuation) and SRE Power ($72M) suggest a steady appetite for grid infrastructure solutions, the overall slowdown signals a more selective M&A environment, potentially limiting exit opportunities for highly valued climate tech companies.

US and European deal sizes show resilience despite the slowdown in global funding. In the US, the median deal size has reached $6M in 2024 YTD (up from $4.3M in 2023), while Europe’s median deal size has grown to $4.9M (up from $3.7M in 2023), indicating sustained investor confidence in these markets.

Despite declines in overall climate tech funding, companies commercializing solutions in carbon capture, utilization, and storage (CCUS) continue to secure significant capital, as demonstrated by Twelve‘s $200M Series C round in September. Twelve is using the funding to finish building its Washington state facility, where it will produce sustainable aviation fuel (SAF) that it claims can deliver up to 90% emissions reduction compared to conventional jet fuel.

Source: CB Insights — Twelve Funding Insights

Electric vehicle technology funding reaches a critical low of $0.6B in Q3’24, marking its lowest point since early 2020. However, the sector still attracted notable deals, including 24M Technologies‘ $87M Series H round at a $1.3B valuation, pointing to selective investor appetite for more mature EV tech companies.

More energy resources from CB insights:

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State of CVC Q3’24 Report

Benjamin Lawrence — Thu, 31 Oct 2024 13:00:57 +0000

In Q3’24, global CVC-backed funding fell 5% quarter-over-quarter (QoQ) to $15.7B — alongside a 10% decline in deals — as investors navigated persistent macroeconomic headwinds from global inflation pressures and elevated interest rates to China’s economic challenges.

Despite these declines, $100M+ mega-rounds comprised 51% of total CVC-backed funding in Q3’24, a notable increase from a quarterly average of 37% in 2023. Meanwhile, two-thirds of CVC deals this year have gone to early-stage companies, highlighting a strategic shift toward more emerging opportunities, especially in AI.

Based on our deep dive in the full report, here is the TL;DR on the state of CVC:

Global CVC-backed funding drops 5% to $15.7B in Q3’24. Nevertheless, that figure is still the second-highest quarterly level since the beginning of 2023. Meanwhile, a 10% QoQ decline to 773 deals — the lowest total since 2018 — suggests that CVCs are increasingly selective, similar to the wider venture market.

The average CVC-backed deal size has increased 31% so far this year to $27.1M, highlighting investors’ willingness to take risks when they find the right opportunity. However, the median deal size remains the same as last year at $8M, signaling that investors are only more aggressive regarding the largest deals.

Funding to CVC-backed mega-rounds (deals worth $100M+) represents 51% of total funding in Q3’24. This percentage — roughly in line with the first 2 quarters of 2024 — is up significantly from an average of 37% in 2023, further suggesting that investors are currently willing to make large bets when they decide to invest.
Early-stage rounds represent 66% of total CVC deal share this year, the highest level in over a decade. CVCs are increasingly focused on early-stage startups, likely driven by the record levels of AI funding and the fact that, across investor types, 72% of deals to AI companies this year are early-stage.

CVC-backed funding in the US ticks up to $10.5B. Among major global regions, the US continued to lead in CVC-backed funding in Q3’24, followed by Europe at $2.6B and Asia at $1.3B. Within the US, defense tech provider Anduril raised the largest CVC-backed deal with its $1.5B Series F round (CVC investors include Franklin Venture Partners), followed by AI chip developer Groq with its $640M Series D round (backed by Samsung Catalyst).

MORE VENTURE RESEARCH FROM CB INSIGHTS

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State of AI Q3’24 Report

Adya Pandey — Tue, 29 Oct 2024 13:00:04 +0000

In Q3’24, global AI deal count skyrocketed 24% QoQ to reach 1,245 — its highest quarterly level since peaking in Q1’22. This contrasted sharply with activity in the broader venture sphere, where deal count fell by 10% QoQ to hit its lowest level since 2016/2017.

While AI deals in Q3’24 included massive $1B+ rounds to defense tech provider Anduril and AI lab Safe Superintelligence, global AI funding actually dropped by 29% QoQ. This was driven by a 77% decline in funding from $1B+ AI rounds QoQ.

Based on our deep dive in the full report, here is the TL;DR on the state of AI:

Global AI deal count climbs 24% QoQ to reach 1,245 — its highest quarterly level since peaking in Q1’22. This bucked the trend in overall venture deals (-10% QoQ), signaling that investor interest in AI remains strong despite the broader cooling in venture markets. AI funding, on the other hand, fell by 29% QoQ to $16.8B, driven by a 77% decline in funding from $1B+ AI rounds QoQ.

The average AI deal size is $23.5M in 2024 so far — up 28% vs. $18.4M in full-year 2023. This upward trend has been influenced by a rise in massive $1B+ deals, with AI startups drawing 9 of these deals in 2024 so far vs. 4 in full-year 2023. Top $1B+ rounds in 2024 YTD include:
- xAI — $6B Series B at a $24B valuation
- Anthropic — $2.8B Series D at an $18.4B valuation
- Anduril — $1.5B Series F at a $14B valuation
- G42 — $1.5B investment from Microsoft
- CoreWeave — $1.1B Series C at a $19B valuation

These deals aren’t solely responsible for pushing up the average — the median AI deal size is up 9% in 2024 so far.

AI unicorn births more than double QoQ to reach 13 — 54% of the broader venture total in Q3’24. Generative AI continues to be a key theme for new unicorns (private companies reaching $1B+ valuations). More than half of the AI unicorns born in Q3’24 are genAI startups, and they are working across a variety of areas — including AI for 3D environments (World Labs), code generation (Codeium), and legal workflow automation (Harvey).

Among new genAI unicorns in Q3’24, Safe Superintelligence — co-founded by OpenAI co-founder Ilya Sutskever — landed the most sizable valuation. The AI lab was valued at $5B after raising a $1B Series A round in September 2024.

AI M&A exits fall by 48% QoQ to hit 62 in Q3’24. The deals that did occur showcase how enterprises are strategically scooping up AI startups to improve their offerings and maintain a competitive edge. For example, the largest AI M&A deal in Q3’24 was AMD’s acquisition of AI lab Silo AI, which could help the semiconductor company enhance the development and deployment of AI models on its hardware. Meanwhile, Salesforce picked up unstructured data management startup Zoomin to support its AI agent offerings.

Among major global regions, the US continues to lead in AI funding and deals. AI startups based in the US drew $11.4B across 566 deals in Q3’24, accounting for over two-thirds of global AI funding and 45% of global AI deals. Within the US, Silicon Valley still dominates AI funding and deals, but other metros are gaining ground. In Q3’24, Los Angeles and New York saw their AI deal counts rise QoQ while Silicon Valley watched its count drop for the second quarter straight.

ADDITIONAL AI RESEARCH FROM CB INSIGHTS:

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Fintech 100: The most promising fintech startups of 2024

Laura Kennedy — Thu, 24 Oct 2024 13:00:00 +0000

CB Insights has unveiled the seventh annual Fintech 100 (previously the Fintech 250) — a list of the 100 most promising private fintech companies in the world.

For companies interested in the future of fintech, these startups — working on everything from deploying novel AI solutions across the landscape to expanding access to financial services — should be on your radar for partnership and investment opportunities.

The list primarily includes early- and mid-stage startups driving innovation across fintech. Our research team picked winning companies based on CB Insights datasets, including deal activity, industry partnerships, team strength, investor strength, employee headcount, and proprietary Commercial Maturity and Mosaic scores. We also dug into Analyst Briefings submitted directly to us by startups.

Please click to enlarge.

Here is a summary of the 2024 Fintech 100 cohort highlights:

The 100 winners include 13 wealth management companies, 11 in embedded finance, and 10 in insurance.
$7.2B in equity funding raised over time, including more than $2B in 2024 so far (as of 10/23/2024).
Nearly 50% are early-stage companies (primarily seed/angel or Series A).
52 companies from outside the United States, across 23 countries on 6 continents. This includes 17 companies from 11 emerging and developing economies.
850+ business relationships since 2022, including with industry leaders like Mastercard, State Street, and Flipkart.

Companies are categorized by their primary focus area and client base. Categories in the market map are not mutually exclusive.

CB Insights customers can interact with the entire Fintech 100 list here and view a detailed category breakdown using the Expert Collection.

2024 FINTECH 100 COHORT HIGHLIGHTS

Funding and valuations

The 2024 Fintech 100 winners have raised $7.2B across 370+ disclosed equity deals to date (as of 10/23/2024).

Gaming payments company Coda Payments and rent rewards company Bilt Rewards lead all winners in disclosed equity funding (with $715M and $560M in funding, respectively).

In 2024 so far, this year’s winners have raised just over $2B across 72 disclosed equity deals.

Three winners have raised mega-rounds ($100M+ deals) in 2024 so far:

Bilt Rewards — $200M Series C, $150M Series C – II
Akur8 — $120M Series C
FundGuard — $100M Series C

Just 5 companies on this year’s list have reached unicorn status (a $1B+ valuation). Amid the broader venture slowdown, just one winner has hit unicorn status in 2024 so far: Pennylane, a France-based financial management and accounting platform for businesses.

Stage breakdown and commercial maturity

Nearly half — 48 — of this year’s Fintech 100 winners are early-stage companies (primarily seed/angel or Series A).

More than 60% of the companies on the list (62) have a CB Insights Commercial Maturity score — which measures a private company’s current ability to compete for customers or serve as a partner — of 4, or Scaling. This indicates they are gaining market traction and growing clients, partners, headcount, and revenue.

Twenty-six winners have a score of 3, or Deploying, which means they have validated ideas and are beginning commercial distribution.

Top investors

Plug and Play Ventures leads all venture capital (VC) firms, including CVC firms, in the number of winners backed. The 2024 Fintech 100 companies in its portfolio operate across financial management and accounting (Finally), capital markets (FundGuard), payment acceptance (AiFi, Fintoc), banking (Tuum), wealth management (Boldin), and payroll (WorkPay).

Meanwhile, General Catalyst leads in the total number of investments in the 2024 Fintech 100, as it has invested 13 times across 6 companies. It has invested in Bilt Rewards, financial management & accounting firm Collective, alternative credit scoring company Nova Credit, cross-border payments platform Finom, student loan management platform Summer, and AI agent Powder.

Geographic distribution

Just over half (52) of this year’s Fintech 100 winners are based outside of the United States. The United Kingdom leads all non-US countries with 12 winners, and Canada and Singapore are tied for second with 6 companies each.

Seventeen companies on this year’s list come from 11 emerging and developing economies (Brazil, Chile, Colombia, Egypt, India, Kenya, Pakistan, United Arab Emirates, South Africa, Thailand, and Uruguay). Many of these winners are focused on solutions driving financial inclusion and accessibility for groups like small businesses and consumers building their credit.

Headcount growth

This year’s Fintech 100 winners collectively employ more than 18,000 people. Median year-over-year headcount growth is more than 30%.

Bilt leads all winners with $3.1M in equity funding per employee. Embedded finance company Brim Financial, blockchain company Fnality, and Coda Payments are tied for second with $1.6M per employee.

Company health

Eighty-three of this year’s winning companies have a CB Insights Mosaic score — a proprietary measure of private company health and growth potential — of at least 700 out of 1,000 (as of 10/23/24). Compared to all private companies — fintechs or otherwise — with Mosaic scores, these 83 winners rank in the top 4% by Mosaic score.

Bilt Rewards leads the cohort with a score of 952. Nova Credit and Arta are tied for second with 883.

Winners deploy AI across a variety of use cases

AI’s dominance in the venture market and broader tech conversations is reflected in this year’s Fintech 100 cohort.

Several winners have developed AI solutions to automate financial services operations. For example, Alkymi and Saphyre are among the handful of companies using AI to analyze and extract data from financial documents.

But winners are also deploying AI within specific financial services sectors, including embedded finance, compliance, and insurance.

For instance, Gynger uses AI and data analytics to quickly approve and underwrite financing. The company is backed by PayPal Ventures and Google’s AI-focused venture arm Gradient Ventures.

Meanwhile, Norm Ai offers AI agents for compliance teams, enabling them to assess content or actions against regulatory requirements. The company raised a $27M Series A round in June 2024 from investors including Bain Capital Ventures and Citi Ventures.

Delos Insurance Solutions, on the other hand, issues property insurance and analyzes satellite data using AI to identify areas with greater wildfire risk. Its founders’ backgrounds in the space industry inform their approach to data gathering via satellite.

Fintechs gear solutions toward financial inclusion and accessibility

Many of this year’s winners are focused on making financial services and technology more accessible to growing customer segments.

Small businesses are a focus worldwide. This year’s list includes solutions like Sequoia Capital– and Founders Fund-backed Found, which offers banking for self-employed people and small business owners. Meanwhile, Pakistan-based NayaPay offers financial management for consumers as well as small businesses. Singapore-based YouTrip also has both B2C and B2B platforms for cross-border payments, focusing its B2B services on small businesses in southeast Asia.

Companies in this year’s cohort are also targeting consumers building their financial profiles and wealth. US-based MAJORITY allows individuals to get banked in the US without social security numbers. OTO, meanwhile, offers loans for electric bike and scooter purchases in India. Banks are hesitant to finance the purchases despite strong government support for the vehicles, so the massive consumer market is turning to fintechs.

Meanwhile, companies like Bilt Rewards and CheQ are helping consumers manage their credit and build toward major purchases in different ways. Bilt converts rent payments into points that can be redeemed toward a down payment on a home, and it can also send renters’ on-time payment reports to credit bureaus.

In India, where credit cards have lower penetration but are growing quickly, CheQ helps consumers pay off all of their credit cards and earn rewards on one digital platform. It aims to support users who are new to the credit system and offers free credit reports and tips on managing credit. The company recently announced a partnership with India’s e-commerce giant Flipkart to enable consumers to earn extra points on purchases during Flipkart’s sale event.

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Reports – CB Insights Research

AI is making big tech even bigger — here’s how the trillion-dollar tech giants are deepening their moat and fueling future growth

BIG TECH’S AI BETS

Big tech heads toward $300B+ in 2025 capex

Cloud competition hinges on AI demand

2025 likely to bring a rebound in M&A

BIG TECH’S AI BETS

Nvidia accelerates AI startup investments

Physical AI in focus

Race to own AI agents

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State of Fintech Q1’25 Report

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Fintech funding gets a big boost from Binance

AI is gathering steam in fintech

Crypto is resurging with investors

Digital banking remains resilient

MORE FINTECH RESEARCH FROM CB INSIGHTS

Sam Altman’s Investment Web: Where the OpenAI CEO is investing in AI, biotech, energy, and more

get the data behind sam altman’s investment web

Sam Altman’s investments overlap with OpenAI’s strategy

Two biggest bets Outside of AI are in energy & longevity

Notable exits

State of Venture Q1’25 Report

DOWNLOAD THE STATE OF VENTURE Q1’25 REPORT

Top stories in Q1’25

1. Quarterly funding jumps to $121B, even as deal count keeps falling

2. AI now drives 1 in 5 venture deals

3. Eight early-stage AI companies raise $100M+ mega-rounds

4. Early-stage deal sizes pace at an all-time high

5. Billion-dollar M&A exits hit a new quarterly record

DOWNLOAD THE STATE OF VENTURE Q1’25 REPORT

Predictions for venture dealmaking in 2025

AI agents “niche down” and gain enterprise buy-in

Voice AI takes off amid technical advances

Crypto & blockchain rebound

Defense tech comes into focus

Conclusion

Book of Scouting Reports: InsurTech NY’s 2025 Spring Conference

7 tech M&A predictions for 2025

Tech M&A predictions for 2025

Tech M&A prediction highlights

Tech M&A predictions for 2025

Book of Scouting Reports: LSI USA ’25 Emerging Medtech Summit

The future of the customer journey: AI agents take control of the buying process

DOWNLOAD: THE FUTURE OF THE CUSTOMER JOURNEY

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State of Insurtech 2024 Report

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Insurtech dealmaking and funding continue to decline

Quarterly funding to P&C insurtechs is in the gutter

Silicon Valley is dethroned as insurtech’s funding capital

Early-stage insurtechs raise record-high deal sizes

Recently funded insurtechs show stronger business fundamentals

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State of Climate Tech 2024 Report

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Climate tech investment activity continues to contract

Grid tech and nuclear are gaining momentum to meet AI’s energy needs

Electric vehicle technology sees record pullback in deals

Climate tech M&A exits decline once again

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State of CVC 2024 Report

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CVC-backed funding grows, deal activity slows

CVCs are all in on AI

The flight to quality continues

Early-stage deals dominate

CVC-backed funding plummets in Asia

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State of AI Report: 6 trends shaping the landscape in 2025

DOWNLOAD THE STATE OF AI 2024 REPORT

Massive deals drive AI funding boom

Industry tech sectors lose ground in AI deals

Outside of the US, Europe fields high-potential AI startup regions

AI M&A activity maintains momentum

AI startups race to $1B+ valuations despite early market maturity

Tech leaders embed themselves deeper in the AI ecosystem

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Here’s how leading strategy teams are successfully driving generative AI adoption in their organizations