Software M&A trends in 2026: what sellers and their advisors should plan for

The short answer for software sellers in 2026

Four forces shape software M&A for sellers this year: sponsors holding a large inventory of companies they have not yet sold, buyers demanding more evidence of growth before they pay, diligence that now probes how AI affects the product and the codebase, and a market in which AI developers pay for permissioned, non-public data. The last of these gives software sellers an option that barely existed a few years ago: licensing engineering and support records on their own track, beside a sale rather than instead of one.

This page relies on cited sources. Where a point is practitioner guidance rather than a measured figure, it says so.

Trend 1: a backlog of sponsor-owned companies waiting to exit

Bain's Global Private Equity Report 2026 counts about 32,000 unsold portfolio companies worth $3.8 trillion. It puts buyout holding periods at exit at around seven years, up from an average of five to six years in 2010-2021, and says almost 40% of portfolio companies have been held more than five years. Distributions as a share of net asset value have stayed below 15% for four years.

Those figures cover private equity broadly, not software alone. For a founder-owned software company, the practical effect is competition for buyer attention from sponsor-owned assets that need to be sold. A clean, well-documented company that is easy to diligence stands out in that crowd.

Trend 2: a higher bar for growth

Bain also reports that a deal which needed 5% EBITDA growth a decade ago now needs about 12% to reach a 2.5x return over five years, and that general partners are holding assets longer to buy time to grow earnings. Buyers who need more growth test the growth story harder: retention by customer cohort, pricing power, sales efficiency and the product roadmap.

For a seller, the takeaway is preparation. Cohort data, pipeline history and a credible roadmap matter more when the buyer's model needs faster growth to work.

Trend 3: AI exposure and code provenance in diligence

This section is practitioner guidance, not a measured trend. Software sellers should be ready for questions like these:

• Does AI make the product's core workflow cheaper for a rival to replicate, or does it deepen the product's advantage?
• How exposed is a per-seat pricing model if customers need fewer seats?
• How much code was written with AI assistants, and how is it reviewed? The guide to source code due diligence covers what reviewers check.
• What do customer contracts and privacy terms say about using customer data, including for model training?

The last question carries regulatory weight. FTC staff have said that companies' promises not to use customer data for undisclosed purposes, such as training or updating models, are enforceable whether they appear in privacy policies, terms of service or promotional materials (FTC Office of Technology, January 2024). For a SaaS seller, customer data inside the product should be treated as off-limits for licensing unless contracts clearly allow it. The company's own internal records are a different matter.

Trend 4: non-public data now has a price

The clearest public evidence that AI developers pay for data comes from publishers and content platforms, not from B2B software companies.

These are consumer platforms and publishers, so their deal values say nothing about what a B2B software company's records would fetch. They do show that permissioned data is licensed under contract, and that history and archives are part of what buyers want.

Trend 5: engineering and support records are in demand

AI development is moving from models that answer questions to agents that carry out tasks, including agents that write code and agents that resolve support tickets. Training and evaluating them needs records of real work: an issue, the pull request that addressed it, the review discussion, the CI result and the merge; or a support ticket, the troubleshooting thread, the escalation and the resolution. A software company with years of that history holds the kind of record that is thin on the public web.

How a SourceX license sits beside a software sale

A license and a sale are different transactions. The sale transfers the company; the license grants AI-training use of an agreed dataset for an agreed term, typically exclusive for AI training, while the company keeps ownership.

Sequencing matters. Licensing before marketing keeps the decision and the cash with the seller and lets the CIM describe it. Once an LOI is signed, the buyer will normally have to consent under interim operating covenants, and after closing the choice is the buyer's alone. A license that surfaces late in diligence invites price pressure, so disclose it early; see what a retrade is and what a seller can do. Consents and notices tied to a license are listed in the M&A closing checklist.

What it means for a software M&A advisor

Every software mandate now carries a records question worth asking at engagement: how many years of history sit in Git, the issue tracker and the help desk, and does the company own all of it? For a company with 50+ full-time employees at peak (contractors excluded), several years of documented operations and clean rights, a preliminary company fit check takes minutes. The M&A advisor referral page explains the program, and the SaaS sale guide looks at what a subscription business holds besides its recurring revenue.

Partners earn 25% of the eligible platform fees SourceX actually collects from the referred company's licensing deals, capped at $100,000 per referred company, paid only after the buyer pays and SourceX receives its fee. No reward is guaranteed, and the seller's license proceeds are never reduced to pay it. Check your own engagement letter, firm policy and any professional or securities rules on referral fees and disclosure before registering.

Limits and open questions

• Bain's figures describe private equity broadly; none of the sources here isolates software deals.
• Publisher and platform deals are not comparable to B2B software records, and there is no public price benchmark for licensing engineering history.
• Epoch AI's projection is a forecast with wide uncertainty.
• FTC staff posts are guidance, not rules.
• Rights questions about customer data, contractor code and open-source components decide what can be licensed, and they differ company by company.

This is general information, not legal, tax or financial advice.

Next step

Add the records question to your next software engagement checklist. Strong answers are your cue to register as a partner; the founder files the company application at sourcex.si/apply via your referral link, or you submit it on the referral form. Size, history and rights requirements are listed on the who qualifies page.