Global M&A on Track for $4 Trillion in 2026 as Megadeals Drive a 'K-Shaped' Market

Global mergers and acquisitions are roaring back to life in 2026, driven by an insatiable corporate appetite for artificial intelligence and the physical infrastructure required to power it. According to a mid-year outlook report released by PwC, global deal value is on track to reach $4 trillion by the end of the year. This marks a 13% increase from 2025 and represents the strongest year for dealmaking since the pandemic-era boom of 2021.[1][2]

But beneath the headline figure lies a starkly divided landscape. PwC describes the current environment as an intensifying "K-shaped" market. While the total value of transactions is climbing rapidly, the actual volume of deals is moving in the opposite direction.[1][3]

Deal volumes are projected to fall by 13% this year, settling at roughly 42,000 transactions globally. The surge in total value is being carried almost entirely by the top end of the market, where well-capitalized buyers are executing massive, transformational acquisitions.[1][4]

"2026 is the year M&A supersized," noted Brian Levy, PwC's global deals industries leader. He emphasized that artificial intelligence is not just a sector trend, but a macroeconomic force that is redirecting capital flows, shuffling industry winners and losers, and forcing corporate boards to rethink their strategic positioning.[2][6]

The dominance of "megadeals"—defined as transactions valued at over $5 billion—has reached unprecedented levels. These massive combinations now account for 48% of total global deal value. To put that concentration into perspective, megadeals represented just 39% of the market in 2025 and a mere 26% in 2024.[1][3]

If the current pace holds through the second half of the year, the value generated by megadeals alone is expected to climb by 40% year-over-year. Without these multibillion-dollar transactions propping up the data, the broader M&A market's total value would actually be down by 4%.[1][4]

Artificial intelligence is the common thread weaving through 2026's most aggressive corporate maneuvers. The technology featured prominently in 17% of the 100 largest deals announced in the first half of the year, as companies race to secure talent, compute power, and proprietary models.[4]

Recent blockbuster announcements underscore the scale of capital being deployed. SpaceX recently entered an agreement to acquire the AI coding startup Cursor for a staggering $60 billion in stock, aiming to bolster its competitive stance against rivals like Anthropic and OpenAI.[2][3]

In the enterprise software space, Salesforce is acquiring the AI customer-service platform Fin for $3.6 billion to enhance its agentic AI offerings. Meanwhile, chipmaker Qualcomm is reportedly in advanced discussions to purchase AI infrastructure startup Modular for approximately $4 billion, a move that would significantly expand its footprint in the AI hardware ecosystem.[3][5]

The nature of tech acquisitions is also shifting. While software buyouts have cooled slightly as buyers reassess the disruptive threat of generative AI on traditional software-as-a-service revenue models, investments in physical infrastructure have skyrocketed. Power generation, utilities, and data centers have become the hottest commodities on the market.[1][2]

Private capital and infrastructure funds are aggressively pursuing assets that can support the immense energy and compute demands of the AI era. PwC's data highlights that data center spending is expected to peak at around $250 billion annually in the near term, drawing massive consortiums of sovereign wealth and private equity into the infrastructure space.[1]

While the top end of the market celebrates a historic boom, the middle market is sputtering. Smaller dealmakers are facing a wall of macroeconomic headwinds that make routine transactions increasingly difficult to finance and close.[3][5]

Mid-market firms remain constrained by stubborn inflation, elevated interest rates, and persistent geopolitical uncertainty. These factors have widened the valuation gap between what sellers expect and what buyers are willing to pay, stalling negotiations across multiple sectors.[2][3]

Additionally, the private equity industry is grappling with a massive exit backlog. With nearly 33,000 portfolio companies sitting on the books globally, many sponsors are struggling to return capital to limited partners, which in turn limits their ability to deploy fresh capital into new mid-market buyouts.[1][3]

Regionally, the K-shaped dynamic is heavily skewed toward North America. The Americas accounted for 61% of global deal value in the first half of 2026, despite representing only 28% of global deal volume. This concentration is driven almost entirely by U.S. megadeals, highlighting the concentration of AI capital in American markets.[1][2]

Beyond driving the rationale for acquisitions, AI is also beginning to change the mechanics of dealmaking itself. Firms are increasingly deploying AI tools to accelerate due diligence, streamline valuation models, and prepare investment committee materials, signaling a permanent technological shift in how Wall Street executes its largest transactions.[1][3]