Global M&A Boom Extends into 2026 as AI Drives Mega-Deal Surge

Executive summary

Global mergers and acquisitions activity carried momentum from 2025 into 2026 as artificial intelligence (AI)-driven demand fuels large transactions. Total deal value rose 40% to $4.9 trillion in 2025, the second-highest annual total on record after a $5.6 trillion peak in 2021. At the same time, discretionary capital for deals is tight, forcing selective, return-focused transactions.

Market snapshot and headline metrics

• Total global deal value: $4.9 trillion in 2025 (40% year-over-year increase).
• Second-highest annual level on record; 2021 peak was $5.6 trillion.
• Mega-deals (> $5 billion) supplied more than 73% of the increase in deal value in 2025.
• Deals above $10 billion rose to 60 transactions in 2025, the highest since 2021.
• A widely used M&A sentiment index recovered to 75 from its 2022 low, remaining below the long-term average of 100.

These metrics indicate a market driven by a smaller number of very large transactions rather than broad-based deal volume growth.

Funding environment: the tightest squeeze in decades

Capital available for transactions is constrained. The proportion of corporate capital allocated to M&A reached a 30-year low in 2025 as companies prioritized dividends, buybacks, capital expenditures and R&D. Key funding trends:

• Private equity has become central to dealflow and now represents roughly 40% of global M&A activity.
• Private credit is a growing source of financing and the private credit market is currently valued at roughly $2.1 trillion, with projections that the asset class could more than double by 2030.
• Corporates are increasingly pressuring M&A to pass stricter return hurdles; only deals with clear, defensible value-accretion plans are advancing.

Implication: buyers must be more selective. Transactions without near-term, demonstrable returns face higher financing and governance barriers.

AI capex 'supercycle' and its dual impact on deals

AI investment is a primary driver of large-scale strategic transactions but also a capital competitor to M&A.

• Hyperscaler capital expenditures accelerated: U.S. hyperscalers averaged roughly $760 million per day in capex between Q1 2024 and Q3 2025.
• Infrastructure buildout remains large-scale: an additional ~65 gigawatts of data center capacity is expected by 2030, more than double the capacity added from 2019–2024.

Consequences:

• Corporates are acquiring infrastructure, software, and specialized service providers across the AI stack rather than building entirely in-house.
• The multitrillion-dollar AI investment wave can divert capital from traditional M&A, tempering the pace of transactions that lack direct AI-related synergies.

Deal types, participants and mechanics

• Mega-deals and strategic consolidations dominate headline activity.
• Private equity and sovereign investors are playing more active, often lead-investor roles where capital is scarce.
• Private credit is being used for flexibility and to bridge financing gaps, despite signs of stress in parts of that market.

For investors and corporates, this means greater complexity in deal structuring and an increased role for alternative capital providers in closing transactions.

Implications for investors, corporate boards and analysts

• Focus on returns: With limited discretionary capital, M&A approvals will hinge on high-confidence synergies, margin expansion, or clear strategic reinvention.
• Prioritize AI-related assets: Companies that secure critical AI infrastructure, data, or service capabilities through acquisition can accelerate time-to-market and control key inputs.
• Monitor funding mixes: Watch how deals are financed (cash, debt, private equity, private credit) to assess risk and sizing of potential write-downs.
• Track concentration risk: Because mega-deals drive much of the dollar volume, aggregate deal-value metrics can mask narrowing breadth in opportunity.

Practical checklist for deal teams in 2026

• Rigour: Require scenario-driven valuations that reflect higher capital opportunity costs.
• Integration planning: Build integration plans pre-deal for AI and infrastructure assets to realize synergies quickly.
• Funding contingency: Secure multiple financing lines, including private capital commitments, to mitigate credit-market squeeze.
• Exit-path clarity: For private equity and corporate buyers, define realistic exit timelines given tighter capital markets.

What to watch in 2026

• Continued concentration of headline dollars in mega-deals (> $5B) and continued high levels of $10B+ transactions.
• Private credit growth and how its stress points affect mid-market financing.
• Pace and scale of AI capital expenditures — especially data center, energy, and semiconductor investment — and their pull on corporate capital budgets.
• Regulatory and geopolitical developments that alter cross-border deal feasibility or raise integration compliance costs.

Conclusion

The M&A landscape entering 2026 is characterized by two competing forces: an AI-led demand for strategic acquisitions and a historically constrained pool of discretionary capital. Net effect: more large, strategic, return-focused transactions, with private capital and creative financing playing an outsized role. Market participants that combine disciplined valuation, rapid integration capability, and flexible financing are best positioned to convert the deal frenzy into durable value.