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Crunchbase counted 195 acquisitions of AI startups by other venture-backed AI companies through September 29, 2026—14% more than in all of 2025. The number of buyers grew just 2% over the comparison period, suggesting the increase came mainly from companies that acquired more than once. OpenAI was the most active buyer in Crunchbase’s three-year review, with 10 acquisitions in 2026 through the cutoff.

What the 195-acquisition count includes

The figure covers acquisitions of AI startups by other venture-backed AI companies, according to Crunchbase. It is not a count of every AI-related acquisition or every type of buyer. Crunchbase also notes that its analysis excludes deals that have not been publicly reported, so 195 should not be read as a complete census of the market.

The figures were reported by Mary Ann Azevedo in Crunchbase News on October 6, 2026, and measure activity through September 29. The report does not establish that its market-wide count or growth rates were independently audited.

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Deals rose faster than the number of buyers

By September 29, 2026, the acquisition count was 14% above the full-year 2025 total, while the number of buyers was up 2% over the comparison described in the report. That gap indicates that deal activity was concentrated among repeat acquirers rather than being matched by a similar expansion in the buyer pool.

Across the three-year period reviewed, 67 repeat buyers accounted for about 42% of tracked transactions, according to Crunchbase. The data supports a pattern of repeat activity; it does not explain why individual companies acquired targets or whether the deals succeeded.

OpenAI was the most active buyer

Crunchbase counted 20 AI-related acquisitions by OpenAI during the three-year period reviewed, including 10 in 2026 through September 29. Those figures make OpenAI the standout repeat acquirer in the report.

Other named buyers in 2026 included Anthropic and Legora, with five acquisitions each; Harvey, with four; Sierra and Cursor, with three each; and Cohere, with two. The report also notes that many buyers are vertical AI startups acquiring within their own areas of focus.

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Why AI startups are acquiring

Crunchbase describes acquisitions as a way for startups to fill product gaps, enter markets, bring specialist teams in-house, broaden platforms, or reach customers faster than building internally. The examples span legal technology, customer service, software development, healthcare, scientific writing, developer infrastructure, security, and computational photography. These are reported strategic aims, not evidence that a particular acquisition achieved them.

Speed as a strategic rationale

Legora CFO David Eckstein said, “M&A is explicitly part of how we accelerate what we’re building. The question we always ask is: does this deal get us somewhere faster than we’d get there ourselves?” Menlo Ventures partner Rama Sekhar put the broader rationale this way: “It’s all about speed in the AI world,” and “It’s faster to acquire a team or product than build it yourself.”

Different approaches among repeat buyers

Harvey COO Katie Burke described the company’s approach as “selective but aggressive.” The reported differences in buyer activity and sector focus matter when comparing acquirers: a deal count alone does not show which capabilities, products, teams, or markets a company sought to add.

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Disclosed deal prices offer only a partial picture

Crunchbase reported prices for just 12 of the 195 transactions, so the total amount spent across the set cannot be determined from the disclosed figures. Among the largest deals with recorded prices named in the report were:

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  • Nscale’s reported $1.65 billion acquisition of Anyscale.
  • Cyera’s $1 billion acquisition of Oasis Security.
  • Anthropic’s $400 million acquisition of Coefficient Bio.
  • OpenAI’s $300 million acquisition of Glass Imaging.
  • Sword Health’s Kaia Health acquisition, valued at up to $285 million.

These are figures as reported by Crunchbase; they are not independently verified here. Deal value and deal count are separate measures, and the small number of disclosed prices makes it inappropriate to infer total sector spending from these examples.

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Source and scope

All market counts, rankings, growth figures, and named deal values in this article are attributed to Crunchbase’s dataset as reported in Crunchbase News on October 6, 2026. Its cutoff is September 29, 2026, and its note excludes deals that have not been publicly reported.

Product prices and availability are accurate as of the date/time indicated and are subject to change. Any price and availability information displayed on Amazon at the time of purchase will apply.