Investors funneled $16.4B into B2B AI

PitchBook data cited in a May 21 post on X showed venture investors put $16.4 billion into B2B AI startups in 2024, compared with $7.8 billion for B2C AI companies. The figures came from a December 6, 2024, PitchBook market-insights article by Leah Hodgson examining why consumer AI startups were drawing less venture backing than enterprise peers. The post said B2B funding was more than double B2C in the period and linked to a table of deal data. PitchBook’s article also said the gap was wider inside generative AI, where B2C deal value was 6.4% of B2B’s 2024 total. ### Where did the $16.4 billion and $7.8 billion figures come from? PitchBook published the numbers on December 6, 2024, in an article headlined “Where are all the consumer AI startups—and why aren’t VCs funding them?” The article said venture funding for B2B AI startups stood at $16.4 billion in 2024, while B2C AI startups had raised $7.8 billion. (pitchbook.com) The May 21 X post attributed to Peter Korbel appears to be recirculating that PitchBook analysis rather than presenting a new funding report. The underlying figures visible through web research match PitchBook’s 2024 article. ### How large was the gap between enterprise and consumer AI? (pitchbook.com) PitchBook’s figures put B2B AI funding at a little more than twice the B2C total in 2024. Using those numbers, B2B accounted for about 68% of the combined $24.2 billion raised by the two groups, while B2C made up about 32%, based on Reuters-style calculation from the published totals. (pitchbook.com) Generative AI showed an even steeper imbalance. PitchBook said B2C generative AI deal value was only 6.4% of B2B’s current 2024 total, indicating that the consumer side lagged not only in aggregate AI funding but also in the category that drew the most investor attention that year. (pitchbook.com) ### Why did PitchBook say investors favored B2B AI? PitchBook quoted Antler partner Tobias Bengtsdahl saying venture firms had shifted away from consumer startups since the 2022 VC downturn. The article said higher interest rates, inflation and valuation markdowns hit consumer companies hard, making the sector a riskier bet for investors. (pitchbook.com) Enterprise business models were also a factor in PitchBook’s account. The article said enterprise customers were more likely to sign multi-year contracts and subscription agreements, creating more predictable recurring revenue than consumer apps typically offer. Bengtsdahl told PitchBook that “consumer is out of fashion,” describing what he called herd behavior among investors. (pitchbook.com) ### Does that mean consumer AI was absent? PitchBook’s reporting did not say consumer AI startups were missing. The article framed the issue as whether there were too few consumer AI companies or whether venture firms were choosing not to fund them at the same rate as enterprise startups. (pitchbook.com) The same article said one estimate projected the consumer AI market by 2032 could be twice the size of the enterprise AI market. That left open the possibility, in PitchBook’s framing, that venture allocation and eventual market size could diverge. ### What should readers watch next in this story? (pitchbook.com) PitchBook’s own coverage provides the next checkpoint. Its B2C topic page lists a March 16, 2026, analyst note on VC investment in consumer AI, indicating the firm continues to track stage dynamics, megadeals and monetization in the segment. Any updated split between B2B and B2C AI funding would most likely appear in newer PitchBook market notes or analyst reports rather than in the May 21 X post, which pointed back to previously published data. (pitchbook.com 1) (pitchbook.com 2)