Tuesday, November 3, 2026
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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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What we drew from this source

The claims Via News extracted from this document. We point to the source; we don't replace it.

  • Salesforce, OpenAI and Snowflake are the most prolific acquirers of seed- and venture-backed startups in recent years

    60% confidence
  • The pace of startup M&A dealmaking remains fairly robust in 2026

    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
  • OpenAI has bought 16 companies in the past three years

    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
  • Snowflake has 19 acquisitions to date

    60% confidence

Data points we hold from this source

OpenAI · total acquisitions16 companies
Salesforce · total acquisitions91 companies
Snowflake Inc. · total acquisitions19 companies
What we know · the intelligence behind this page
Live from the substrate
What we're seeing
Agentic AI Goes Operational: Platform Governance, Local Silicon, and the Physical-AI Data Race
In mid-to-late October 2026, enterprise vendors (Cisco, Fortinet, ServiceNow, Intuit, Salesforce/Braze, Adobe) shipped agent governance, AI security and AI-driven customer engagement products, while a parallel hardware wave (NVIDIA RTX Spark laptops, ASUS, Apple's iPad mini, Microsoft's hybrid local/cloud Windows) pushed AI onto local devices. A third strand, physical AI (Encord, Harvest Praxis, Hesai), argues that real-world sensor data and cheaper edge chips are the next bottleneck. The common thread is the shift from AI experimentation to governed, scaled deployment, with Salesforce's Braze acquisition showing consolidation and fintech players like Intuit tying AI to trusted financial data. The facts support a broad industry theme but contain little direct finance or regulatory evidence, so the AI-finance angle is thin.
Our read on the data ›
Signals we're tracking
EPKINLY Regulatory-Clinical Success Cascade
High probability of expanded label indications, additional combination approvals, and competitive positioning strength in follicular lymphoma market. Predicts positive commercial uptake and potential accelerated review for related indications.
Patterns we're watching ›
Where sources disagree
Ford Motor Company
Both facts give cash for Ford Motor Company at the same point in time (2025-12-31; FY 2025 year-end and Q4 2025 year-end are the same date). Both are labelled USD, but the values are 23,356,000,000 and 23.356, which cannot both be true in USD. The two numbers agree once the second is read as billions (23.356 bn = 23,356,000,000), so the economic content is consistent and the conflict is a unit/scale error in the Q4 2025 record. The period is not the reason for the conflict: a Q4 and an FY figure at the same year-end date should match.
We flag conflicts openly ›
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