In roughly one month, three B2B companies each sold for around $3 billion despite operating in distinct industries and regions. Their common thread: each deal centers on acquiring unique, high-value data sets critical to unlocking AI capabilities rather than just revenue streams.
- Each acquisition valued at approximately $3 billion
- Deals highlight premium on proprietary data for AI
- AI growth potential outpaces traditional revenue metrics
What happened
Over a 30-day span, three major B2B companies were acquired for around $3 billion each. Salesforce purchased Fin, formerly Intercom, a company that transformed itself with an AI-powered support agent growing at 350%, Autodesk acquired MaintainX, a maintenance and frontline workforce software expanding into operational workflows, and Cognite was involved in a similarly sized transaction. While operating in varied sectors—from customer service to industrial asset management—each company was valued for more than just financials.
The core of these deals was the proprietary data each company controls, essential for training and powering AI models tailored for their industries. Salesforce’s Fin, for example, commands significant growth from AI-driven support resolution, surpassing even Salesforce’s internal AI. Meanwhile, MaintainX is positioned as an operating system for physical asset lifecycle management, extending Autodesk’s engagement into operations after design phases.
Why it matters
These transactions reveal a shifting M&A paradigm where ownership of unique, high-quality data is prioritized over traditional revenue multiples. Buyers are willing to pay 20x or more for fast-growing AI segments within legacy platforms, reflecting confidence that proprietary data is the critical asset for future competitive advantage in enterprise software.
For SaaS operators and founders, the message is clear: building defensible data moats that enable AI differentiation can dramatically increase company valuation and strategic interest. Revenue remains important, but it is the AI-relevant data assets and accelerating growth in those units that command the highest premiums.
What to watch next
Expect a continuation of AI-driven B2B acquisitions as companies race to acquire specialized data assets supporting domain-specific AI applications. Buyers will scrutinize not just ARR but the composition of revenue and growth, particularly segments fueled by proprietary data and AI capabilities. This will reshape how enterprise software companies prioritize product development and competitive positioning.
Operators should focus on expanding data capture, improving AI model integrations, and demonstrating superior AI-driven outcomes to attract premium valuations. Meanwhile, investors will watch closely for emerging platforms that successfully transform legacy workflows into AI-powered operating systems, as these could represent the next wave of multi-billion-dollar exits.