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The Most Active Startup Acquirers Of The Past 3 Years Aren’t Always Who You’d Expect

View original at news.crunchbase.com
Crunchbase News - Funding Ma Title: The Most Active Startup Acquirers Of The Past 3 Years Aren’t Always Who You’d Expect Date: 2026-03-20 11:00 Source: https://news.crunchbase.com/ma/most-active-startup-acquirers-3-years-crm-openai-snowflake/ <p>Companies that buy a lot of startups don’t always have a lot in common.</p…
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  • Salesforce, OpenAI and Snowflake are the most prolific acquirers of seed- and venture-backed startups in recent years

    60% confidence

  • OpenAI has bought 16 companies in the past three years

    60% confidence

  • Snowflake has 19 acquisitions to date

    60% confidence

  • The pace of startup M&A dealmaking remains fairly robust in 2026

    60% confidence

  • 79 companies acquired three or more seed- or venture-backed startups in the past three years

    60% confidence

  • The AI sector's appetite for acqui-hires and smaller purchases of earlier-stage startups continues to boost momentum

    60% confidence

  • Salesforce has purchased at least 91 companies in the past 20 years

    60% confidence

  • Six companies made six or more known purchases in the past three years

    60% confidence

Data points we hold from this source

Salesforce · total acquisitions91 companies
OpenAI · total acquisitions16 companies
Snowflake Inc. · total acquisitions19 companies
What we know · the intelligence behind this page
Live from the substrate
What we're seeing
AI Capital Surge: Late-August 2026 Funding Wave Spans Fintech, Enterprise Agents, and Robotics
A dense cluster of funding rounds landing on 2026-08-28 — from identity/fraud fintech player Socure ($156M plus its acquisition of Fravity) to enterprise AI agent startups (Instinct, Generalist AI, Owner), model infrastructure (Stability AI, Emerald AI), and autonomous logistics/aerospace (Gatik, Regent Craft) — signals investors are rotating aggressively into AI-native companies with demonstrable ROI, especially in financial risk/compliance and back-office automation. Parallel signals (Multiverse Computing's compression benchmarks cutting inference cost/latency, and Arkestro/CloneOps.ai publishing hard savings and labor-displacement figures) suggest the funding is chasing efficiency and measurable economic impact rather than pure model scale.
Our read on the data ›
Signals we're tracking
Satellite-Terrestrial Network Integration Acceleration
Increased investment and launches in hybrid satellite-cellular networks across telecom industry; competitive responses from other carriers; regulatory activity around satellite spectrum; expansion of emergency/rural connectivity use cases
Patterns we're watching ›
Where sources disagree
ING Group
Both facts record the same metric (shares_outstanding) for ING Group at the identical observation date (2025-12-31). FACT A states 2,902,437,688 shares; FACT B states 2,902 million shares (2,902,000,000). The difference is 437,688 shares (~0.015%). This is a genuine value conflict, though the discrepancy appears to result from FACT B rounding to the nearest million while FACT A provides the precise count.
We flag conflicts openly ›
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