Tech M&A Trends 2026: What Sellers Need to Know

Tech M&A in 2026 is active, but it is not forgiving. Buyers are pursuing AI capability, data infrastructure, cybersecurity, and profitable software platforms. They are also doing more work before they pay premium prices.

That matters if you are a SaaS or digital business founder thinking about an exit. The market is not simply back. It has split. Companies with durable revenue, clean metrics, and a credible AI or data story are getting attention. Companies with weak retention, owner dependency, messy financials, or vague AI claims are getting picked apart in diligence.

The Big Picture: Buyers Are Back, But More Selective

Deal activity has improved, but capital is concentrating around fewer, higher conviction assets.

EY reported that March 2026 US M&A transactions over $100 million rose 43% year over year in value and 25% in volume. Technology deal value rose 31% year over year, with buyers focusing on AI infrastructure, compute scaling, cloud, networking, photonics, and advanced computing architectures. That is a clear signal: strategic buyers are spending again, but they are spending with a thesis.

PwC sees the same pattern. Its 2026 technology deals outlook says the next six months of tech M&A will be shaped by two forces: competition for AI capabilities and infrastructure, and consolidation of profitable software businesses. That combination is important. Buyers want growth, but they want it attached to real margin, real retention, and real product durability.

Trend 1: AI Is Now A Deal Thesis, Not A Feature

In 2024, it was enough for many sellers to say they had AI on the roadmap. In 2026, that will not hold up. Buyers are asking harder questions: What is proprietary? What data advantage exists? Does AI improve retention, gross margin, workflow depth, or expansion revenue? Can the buyer integrate it into a larger platform?

PwC notes that strategic buyers are pursuing hard to find AI capabilities, including proprietary data, scalable tooling, model deployment platforms, orchestration layers, and specialized engineering talent. That is the practical definition of an AI acquisition target in 2026.

This creates a real opportunity for sellers, but only if the story is specific. A generic chatbot feature will not move the needle. A proprietary workflow model trained on defensible data, embedded in daily customer operations, and tied to measurable customer value can change the buyer conversation.

Trend 2: AI Infrastructure Is Pulling M&A Into Adjacent Markets

AI is not just changing software valuations. It is changing the map of technology M&A. The bottleneck is not only code. It is compute, data centers, power, networking, chips, storage, cooling, and the software layers that make AI deployable inside enterprises.

PwC estimates that more than $5 trillion of funding may be required over the next five years for AI technologies and enabling infrastructure, including data centers, chips, networks, and new energy capacity. Morgan Stanley also points to AI infrastructure as a driver of deals across software, semiconductors, data center hardware, networking, HVAC, industrial cooling, and real estate.

For lower middle market sellers, this matters because the best buyer story may not be limited to your product category. A workflow software company that helps manage data movement, compliance, infrastructure cost, security, or AI deployment may be more strategically valuable than a simple SaaS label suggests.

Trend 3: Cybersecurity, Data, And Governance Are Premium Categories

Cybersecurity and data infrastructure remain priority areas because AI increases both the value of data and the risk around it. Buyers are not just buying growth. They are buying control, compliance, resilience, and trust.

Multiples.vc public software data from April 2026 shows infrastructure SaaS trading ahead of broader SaaS categories, with data infrastructure, DevOps, cybersecurity, and IT operations management standing out. The exact public market multiple is not the same as a private company exit multiple, but the direction matters. Public investors and strategic buyers are rewarding software that sits close to enterprise infrastructure, security, data, and mission critical workflows.

If your company touches security, compliance, data governance, access control, audit trails, risk scoring, or regulated workflows, that should not be buried on slide 28 of the CIM. It should be part of the opening narrative.

Trend 4: Private Equity Has Pressure To Sell And Power To Buy

Sponsors need liquidity, but that does not mean they will lower their standards.

Morgan Stanley expects financial sponsors to be a major catalyst for M&A in 2026. Roughly 13,000 sponsor backed businesses remain private, and an estimated 55% have been held for five years or more. At the same time, dry powder remains high at about $4.3 trillion.

Bain’s 2026 Global Private Equity Report adds important nuance. Private equity deal and exit value improved in 2025, but megadeals drove much of the headline growth. Below the largest transactions, the recovery was uneven. Bain also notes that the industry is sitting on about 32,000 unsold companies worth $3.8 trillion.

That pressure creates more activity, but not automatic premiums. PE buyers still want clean revenue, management depth, credible EBITDA growth, and a company that can run without the founder. If your business depends on you for sales, support, product decisions, and key customer relationships, PE will price that risk into the deal.

Before going to market, read our guides on strategic buyers vs financial buyers and reducing owner dependency before selling. Buyer type changes the entire sale process.

Trend 5: Valuation Dispersion Is Getting Wider

The average SaaS multiple is less useful than founders think. In 2026, category, retention, growth quality, margin profile, and strategic relevance matter more than the market headline.

Our view is that private SaaS companies in the lower middle market generally trade at 3x to 7x ARR in 2026, with stronger outcomes reserved for companies with high retention, healthy growth, and clean financials. Public SaaS benchmarks may look higher, but private sellers usually trade at a discount to public peers, especially below institutional scale.

This is why two companies with the same ARR can produce very different outcomes. One has 120% net revenue retention, low churn, clean revenue recognition, strong gross margin, and a clear buyer thesis. The other has flat growth, customer concentration, messy books, and a founder who still runs every important process. They are not the same asset.

If you want the detailed valuation math, start with our SaaS valuation multiples 2026 guide, then compare your metrics against net revenue retention, churn, gross margin, and Rule of 40 benchmarks.

What Sellers Should Do In The Next 6 To 12 Months

If you want to sell in this market, preparation matters more than timing. Buyers are active, but they are not chasing every asset. You need to make the acquisition thesis obvious.

• Clarify your AI story. Show whether AI improves retention, margins, workflow depth, or product defensibility.
• Clean up financials. Buyers will test revenue recognition, add backs, deferred revenue, gross margin, and customer level reporting.
• Reduce owner dependency. Document sales, support, product, and finance processes before diligence exposes the gaps.
• Segment buyers by thesis. A strategic buyer, PE platform, and PE add on buyer will value different parts of the same company.
• Fix retention before outreach. Weak churn and low expansion revenue are hard to explain once buyers are already in the data room.

For a structured prep path, use the SaaS exit readiness checklist. It covers the operating work that usually separates a premium process from a discounted one.

Frequently Asked Questions

Next Steps

The opportunity in 2026 is real, but the market is not handing out premium outcomes by default. The founders who win will be the ones who prepare the company before buyers start asking questions.