AI M&A Activity: Q2 2026
Windsor Drake Q2 2026 market intelligence on AI-sector M&A activity. AI has become the central catalyst for global dealmaking, with North American AI M&A rising 57% to 589 deals in 2025 and a record megadeal cycle led by Google's $32B acquisition of Wiz. The report covers deal volume and value, the barbell deal-size distribution, buyer activity across hyperscalers, private equity and enterprise strategics, six AI subsegments, and a 2026 outlook.
- Sector
- AI
- Focus
- M&A Activity
- Published
- May 24, 2026
- Length
- 33 slides
- Reading time
- 8 minutes
Slide deck
33-slide deck. Desktop readers can page through the embedded viewer below. Mobile readers can open the direct PDF link.
Open slide deck PDF Key findings
- North American AI M&A rose 57% to 589 deals in 2025, up from 375 in 2024, per PwC.
- CB Insights recorded 266 AI M&A deals in Q1 2026 alone, up 90% year on year.
- Google closed its $32B acquisition of Wiz in Q1 2026, Alphabet's largest deal ever.
- Strategic acquirers accounted for $2.73T, roughly 60% of all 2025 M&A value, per PitchBook.
- The five largest hyperscalers are set to spend $660B to $690B on capex in 2026, ~75% AI-tied.
- Nvidia's acquisition of Groq, announced December 2025, was valued at approximately $20B.
- Mid-market assets in the $100M to $1B range face the thinnest buyer pool in the current cycle.
- Goldman Sachs forecasts a 15% rise in M&A volume in 2026 and has declared the deal winter over.
Methodology
Analysis draws on a proprietary Windsor Drake transaction index of 64 verified and reported deals from 2019 to 2026, refreshed quarterly, alongside primary research from CB Insights, PwC, McKinsey & Company, Goldman Sachs, Morgan Stanley, PitchBook, and company and SEC filings. Figures labelled as firm analysis or estimate represent Windsor Drake's own synthesis of cited institutional data.
Frequently asked questions
How long does an AI company sale process take in 2026?
A full process runs 12 to 18 months: six to nine months of preparation, three to six months of engagement, and three or more months for regulatory clearance. Founders should begin diligence readiness in the current planning cycle.
Who are the most active buyers of AI companies right now?
Hyperscalers and big tech—led by Google—are the most active, acquiring models, talent and security at an average target age of 4.5 years from founding. Enterprise software incumbents and private equity are also active, the latter deploying roughly $2T of dry powder.
Should an AI company pursue M&A or an IPO in 2026?
For most AI companies, a strategic sale delivers a superior risk-adjusted outcome; the IPO window has reopened but favours scaled, profitable assets. Strategic buyers pay control premiums of 20 to 30% where synergies can be concretely underwritten.
What deal structures are common in AI M&A transactions?
All-cash consideration has returned for certainty, while earn-outs over 12 to 24 months remain standard for frontier and early-traction AI assets. Large minority stake-and-licence structures, as seen in Meta's ~$14.3B investment in Scale AI, are common for frontier models.
What kills AI deals during due diligence?
The most common deal-killers are unclear data and model IP rights, undisclosed open-source or training-data exposure, weak cohort economics, customer concentration, and key-researcher flight risk. Most are addressable with disciplined preparation before the process begins.
What are the main risks in cross-border AI M&A deals?
Regulatory divergence is the primary friction, including antitrust review, the EU AI Act, export controls on advanced compute, and CFIUS-equivalent national-security screening. Cross-border clearance typically runs 30 to 50% longer than a domestic deal.
Companies covered
Public and private companies referenced in this report.