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KPMG Survey Finds 2026 Set to Be the Year of the Carve-Out

KPMG's 700-dealmaker survey found private equity plans to be nearly twice as deal-active as corporates in 2026, with carve-outs and AI diligence driving the surge.

Lauren Xu2 min read
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KPMG Survey Finds 2026 Set to Be the Year of the Carve-Out
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Among the 700 dealmakers KPMG surveyed for its 2026 Global M&A Outlook, 37% of private equity respondents said they plan to close more than five deals this year. Only 20% of corporate dealmakers said the same. That 17-point gap is not a rounding error; it is a structural shift in who is driving deal volume and what kind of work those deals generate.

The dominant deal type KPMG identified is the carve-out: corporations divesting non-core assets, PE firms as primary buyers, transaction sizes concentrated below $1 billion. Compressed timetables and lean deal teams are the default. Sequential coordination between disciplines is not viable; the 90-day carve-out demands tax, finance, IT separation, HR, and real estate workstreams running in parallel from day one.

For KPMG practitioners this translates into multidisciplinary pull-in across five practice areas. Separation planning, TSA design and management, ERP disentanglement, transfer pricing structuring, and post-close operating model work are all live workstreams on a typical carve-out. Tax and deal advisory specialists are engaged earliest; cyber and data teams become critical once the IT separation plan surfaces vendor dependencies and data-sharing obligations. HR practitioners handle the workforce transition: which employees transfer with the divested entity, which stay, and under what terms.

AI is reconfiguring how fast all of this moves. In KPMG's survey, 56% of organizations reported using AI for due diligence and 53% for deal sourcing. On deal teams, that means NLP-assisted contract review, automated data room analytics, and valuation model acceleration are becoming baseline capabilities, not differentiators. Senior managers and directors who are not fluent in these tools will find themselves behind on engagements where the client expects AI-assisted output as standard. For KPMG's technology and data practices, the same data signals open a direct path to deal-team secondments for data engineers and model validators who build and oversee the AI diligence stack.

The career mechanics of a carve-out wave are worth understanding explicitly. Execution-heavy separations produce the kind of cross-functional delivery leadership that strengthens a partner-track case: documented ownership of a workstream, coordination across four or five disciplines under a single engagement, client-facing problem-solving under time pressure. Senior managers and directors who claim these roles in 2026 will have concrete evidence to bring into their next promotion conversation.

Engagement partners and people managers face a different pressure: surge resourcing and quality control cannot be treated as secondary to delivery. Carve-out schedules routinely run around the clock, and the volume KPMG's data anticipates for 2026 will test whether engagement quality review coverage and structured coaching for junior staff keep pace with the work. The firms that manage that balance will build a stronger bench; the ones that do not will burn through people at exactly the moment the market wants more of them.

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