The codeless testing market in 2026

Three analysts, one year, a 60% spread

If you search for the size of the test automation market you will find a number quickly. The problem is that you will find several, they are all for the same year, and they do not agree.

Taking three published estimates for 2026:

• Mordor Intelligence puts the automation testing market at $40.44 billion in 2026, reaching $78.94 billion by 2031 at a 14.32% CAGR.
• Research and Markets puts it at $27.45 billion in 2026, reaching $40.67 billion by 2032 at a 6.71% CAGR.
• Custom Market Insights puts it at $25.1 billion in 2026, reaching $99.1 billion by 2035 at a 16.5% CAGR.

The highest 2026 figure is roughly 60% larger than the lowest. The growth rates span 6.71% to 16.5% — a factor of about two and a half. Applied over a decade, that difference compounds into forecasts that describe entirely different industries.

These are not competing measurements of the same thing. They are measurements of differently drawn things, published under the same name.

Why the numbers diverge

The spread is mostly definitional, and the definitions are rarely stated prominently enough for a reader to notice they differ.

What counts as the product. Some estimates cover tool licenses only. Others include services — implementation, integration, managed testing — which is a much larger pool. One analyst reporting on the adjacent low-code market notes that implementation and support services are growing at 23.45% CAGR, faster than platform licensing. Whether you count that revenue changes the total substantially.

Where the category boundary sits. Test automation, quality engineering, application testing, and continuous testing overlap heavily and are drawn differently by different firms. Performance and security testing may be in or out. So may test data management.

Whether internal cost counts. The largest single expenditure on test automation in most enterprises is salary — engineers building and maintaining suites. Market sizing generally counts vendor revenue, not internal effort, which means the published figures systematically exclude what is usually the biggest line in a real automation budget.

Forecast method. Several of these firms state openly that projections come from proprietary estimation frameworks and should be treated as directional. That is an honest disclosure and worth taking at face value.

What the disagreement actually tells you

Two things survive across every estimate, and they are worth more than any single figure.

The direction is not in dispute. Every source, using every definition, shows sustained double-digit or near-double-digit growth. Where analysts disagree about magnitude but agree about direction, the direction is the more reliable signal.

Services are growing faster than licenses. This shows up consistently in the adjacent low-code data and matches what the category boundary problem implies. Buyers are not only purchasing tools; they are purchasing outcomes, which is a different procurement conversation with a different set of questions.

The number that should drive your decision instead

Market size is a useful signal for an investor and a poor one for a buyer. It tells you the category is real. It tells you nothing about whether a given tool will reduce your costs, because your costs are not a share of a global figure — they are four numbers you can count.

1. How many test cases are in your regression suite.
2. How many of them run each cycle, and how many cycles you run a year.
3. What you currently spend on building and maintaining them, including salary.
4. How many of those hours go to repair rather than to new coverage.

The fourth is the one most teams have never measured and the one that most reliably predicts whether an automation program finishes. Published research attributes over 70% of web test breakages to element locators rather than genuine application faults — which means a large share of that repair time is spent restoring tests that were never wrong (Hammoudi, Rothermel & Tonella, ICST 2016).

Our ROI calculator models three years against those four inputs, with every assumption editable and sourced. It will not tell you the market is growing. It will tell you what your suite costs.

A note on how we treat market figures

We publish our own pricing, so we have less reason than most to cite a market size at all. Where we do quote one, we name the firm, the year, and the definitional caveat — and where three credible firms disagree by 60%, we would rather show you the disagreement than pick whichever figure flatters the argument.

Sources

• Mordor Intelligence, automation testing market — $40.44bn (2026) to $78.94bn (2031), 14.32% CAGR. Figures generated using a proprietary estimation framework.
• Research and Markets, automation testing market — $25.81bn (2025) to $27.45bn (2026), $40.67bn by 2032, 6.71% CAGR.
• Custom Market Insights, automation testing market — $25.1bn (2026) to $99.1bn (2035), 16.5% CAGR.
• Mordor Intelligence, low-code development platform market — implementation, integration and support services expanding at 23.45% CAGR, outpacing platform licensing.
• Hammoudi, M., Rothermel, G. & Tonella, P., “Why do Record/Replay Tests of Web Applications Break?”, IEEE ICST, 2016.