Global M&A rebounded sharply in 2025, with deal value up 36% to an estimated $4.8 trillion and volume up 5%, led by a tech-led, AI-driven surge (examples include Alphabet’s $32bn Wiz deal, Palo Alto Networks’ $25bn CyberArk purchase and large minority investments such as SoftBank’s $40bn in OpenAI and Meta’s $14.3bn in Scale AI). Megadeals (> $5bn) accounted for more than 75% of incremental deal value and were disproportionately driven by infrequent acquirers (≈60% of megadeals), with 40% of megadeals being transformative (≥50% of the acquirer’s market cap), while scope deals—focused on revenue growth—made up ~60% of large transactions. Despite the surge, companies allocated a 10-year low share of capital to M&A (about 7%), favoring capex and R&D (Mag 7 invested ~ $500bn YTD), raising the bar for deal ROI and underscoring the need for rigorous diligence as geopolitics and protectionist pressures reshape cross-border appetites even as the US, Greater China and a resurgent Japan drove much of the activity.
Global M&A activity rebounded sharply in 2025 with aggregate deal value rising 36% to an estimated $4.8 trillion and volume up 5%, driven disproportionately by tech and AI-related transactions (tech M&A >75% higher year-over-year), including Alphabet’s $32 billion acquisition of Wiz, Palo Alto Networks’ $25 billion CyberArk deal, SoftBank’s $40 billion investment in OpenAI and Meta’s $14.3 billion stake in Scale AI. Megadeals larger than $5 billion accounted for more than 75% of the incremental deal value, and infrequent acquirers represented roughly 60% of those megadeals, while 40% of megadeals were classified as transformative (≥50% of acquirer market cap), raising integration and execution risk. The rebound was broad-based geographically and by sector: US targets drove nearly half of strategic deal value, Greater China led in deal count with >80% domestic deal value, and Japan doubled its M&A market to become the third-largest; concurrently, scope deals composed ~60% of large transactions (> $1 billion), signalling a tilt toward top-line growth rather than pure cost synergies. Regulatory and capital-cost conditions eased, buyer-seller valuation gaps narrowed, and AI adoption in the M&A process more than doubled to 45% of practitioners, with one in five dealmakers walking away because of AI-driven concerns. Despite deal momentum, capital allocation to M&A fell to a 10-year low (~7% of S&P World Index company expenditures) as firms prioritized capex and R&D (the Mag 7 invested nearly $500 billion YTD), creating a higher ROI hurdle for deals. The mix of large, high-stakes transactions executed by infrequent buyers, persistent macro and trade uncertainties, and the growing centrality of AI underscore the need for rigorous diligence, clear integration plans, and board-level scrutiny to avoid value destruction.
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