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Global M&A deal value on track to reach $4 trillion this year: PwC

M&A & RestructuringArtificial IntelligenceTechnology & InnovationPrivate Markets & VentureCorporate Guidance & Outlook
Global M&A deal value on track to reach $4 trillion this year: PwC

Global M&A value is on track to reach $4 trillion in 2026, which would be the strongest year since 2021 and at least 13% above 2025 levels, driven by larger AI-fueled megadeals. PwC said transactions above $5 billion now account for 48% of global deal value, up from 39% in 2025 and 26% in 2024, with megadeal value expected to rise 40% year over year in 2026 if current trends continue. The report highlights a bifurcated market: AI is accelerating large strategic deals while mid-market activity remains constrained by valuation gaps, geopolitics, inflation, and high rates.

Analysis

The key second-order readthrough is not simply “more M&A,” but a broader re-pricing of strategic control in AI adjacencies. When capital concentrates in a handful of oversized transactions, the premium goes to assets that shorten time-to-market for model deployment, data access, and enterprise distribution; that favors integrated software/platform owners and scarce semis/IP, while punishing mid-cap vendors that lack either scale or differentiated data. The K-shaped dynamic means the market is likely to keep rewarding companies that can become acquisition targets or consolidators, while compressing multiples for those trapped in the middle.

For CRM, this is less about the announced deal itself and more about management signaling that the company will not allow its core workflow franchise to be disintermediated by agentic AI. If AI adoption keeps raising the value of customer interaction data and workflow orchestration, CRM can defend pricing power and use selective M&A to fill product gaps rather than buying growth. The risk is that if enterprise AI spend shifts from seat-based software to infrastructure or outcomes-based contracts, CRM’s multiple remains capped until it proves higher net retention from AI attach rather than just narrative optionality.

QCOM sits on the opposite side of the trade: a consolidation wave in AI chips and adjacent IP is constructive because it raises the strategic value of differentiated silicon and edge inference capability. If more AI assets are being acquired at premium valuations, the market should assign a higher scarcity premium to QCOM’s licensing + modem + edge compute stack, especially if it can avoid being boxed out by vertically integrated hyperscalers. The main risk is that the market conflates M&A excitement with durable demand visibility; if capex later normalizes or AI compute migration shifts away from smartphone/edge devices, QCOM’s upside becomes more cyclical than structural.

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