Category Benchmarks: Where Increases Hit Hardest

Why are SaaS price increases uneven across categories?

SaaS price increases are uneven across categories because pricing power varies with switching cost, competition, and how aggressively a category is being repackaged around AI. A category with few credible alternatives and high switching cost can push steep increases because buyers feel trapped, while a competitive category with easy substitution has to hold prices closer to the market. The 2026 repricing wave layers AI on top of this, because vendors folding AI into inclusive bundles can delete the old price point entirely and present a higher number as the only option. The result is a market where some categories see increases close to the historical norm while others post double digit jumps. The top 500 SaaS companies made 339 pricing and packaging changes in a single year, by published market estimates, which is why a buyer needs category benchmarks rather than a single assumption about what a fair increase looks like.

Benchmarks are only useful inside a method that turns them into leverage. That method is set out in the SaaS Benchmarks Guide, which collects what good pricing looks like across the categories a buyer manages.

Where do increases hit hardest in 2026?

Increases hit hardest in design tools, project and work management software, security and identity platforms, and any product repackaged into an AI inclusive bundle. Design tools have posted some of the steepest list increases in the market, often tied to seat minimums that make the rises hard to avoid. Project and work management tools have followed, raising prices as adoption deepened and switching became painful. Security and identity platforms use the fear sell to support consistent uplifts, bundling modules so the effective increase is hard to isolate. And across every category, the AI repackaging tactic produces the sharpest jumps, because AI driven renewal asks run 20 to 37 percent against a historical 3 to 9 percent annual uplift, by published market estimates. The table below summarises where the pressure concentrates and the response each category rewards.

For the detail on each category, read what good pricing looks like by category, and for the scale of constant change, see the 339 pricing changes a year problem.

How do AI bundles distort the category picture?

AI bundles distort the category picture because they hide an increase inside a repackaging, which makes a benchmark harder to read and a fair comparison harder to draw. The three masking tactics all show up here: forced SKU migration into an AI inclusive bundle deletes the old price point so there is nothing to compare against, unbundling then rebundling sells back capability the buyer already had at a higher combined rate, and credit based pricing defeats benchmarking entirely by expressing cost in units that do not map cleanly to a competitor's. About 60 percent of vendors mask increases this way rather than naming them, by published market estimates. For the buyer, this means a category benchmark must look past the headline bundle to the underlying capability, asking what the same outcome would cost without the AI layer, and demanding the plan without AI so the premium is visible and can be challenged on its own evidence.

How do you turn a benchmark into a counter?

You turn a benchmark into a counter by anchoring your position on what good pricing looks like in that category and forcing the vendor to justify any gap. A benchmark converts a weak objection, such as saying the increase feels high, into an evidenced one, such as noting that the proposed uplift sits well above the category norm and the historical run rate, and asking the vendor to explain the difference. It also tells you where to spend effort: a category posting steep increases and offering real alternatives is where a credible competitive evaluation pays off, while a category with genuine lock in calls for protective clauses rather than a switching threat that the vendor knows is hollow. Use the benchmark to cap the uplift at a defensible indexed rate, to demand ROI evidence before any AI premium, and to decide deliberately where consolidation or a switch is worth its cost rather than reacting to each increase in isolation.

A worked example of benchmarking a portfolio

Consider an indicative example. A professional services firm reviews its collaboration and design spend and finds two categories driving most of its increase: a design tool raising prices steeply against a seat minimum, and a project management tool lifting its rate as usage grew. It benchmarks both against the category norm and discovers the design increase is a clear outlier while the project tool sits closer to the market. It concentrates effort where the benchmark shows an outlier, auditing design seats hard, challenging the minimum, and running a credible evaluation of an alternative, while on the project tool it right sizes tiers and caps the uplift rather than threatening a switch it would not make. The benchmark told it where to push and where to protect. These figures are indicative, but the discipline is general, and benchmark led prioritisation lands the buyer inside the 10 to 30 percent savings disciplined negotiation typically produces, by published market estimates.

What to do next

Before your next round of renewals, benchmark each category, concentrate effort where increases are outliers, and protect the categories where you have genuine lock in. The full set of category benchmarks lives in the SaaS Benchmarks Guide, and the negotiation method that turns them into savings runs through the SaaS Negotiation Guide.

Last reviewed February 2026