Software testing is a large and expanding technology-services market, but published estimates differ substantially by scope, measurement year, and forecast horizon. Reported global valuations range from USD 14.50 billion to USD 60 billion for 2023–2025, while forecasts extend as high as USD 112.5 billion by 2034. Survey data also shows a profession balancing Agile delivery, automation, artificial intelligence, release governance, and persistent legacy-system constraints.
Contents
- Global market size and forecasts
- Regional market estimates
- Automation testing growth
- Testing methods and delivery practices
- AI adoption in testing
- Quality engineering capabilities and barriers
Global market size and forecasts
The reported market size depends heavily on the definition used. Some studies address the broad software testing market, while others focus on testing and quality-assurance services. The following figures should therefore be read as separate estimates rather than combined into a single total.
Grand View Research estimated the global software testing market at USD 49.36 billion in 2025. Its forecast places the market at USD 93.15 billion by 2033, with an 8.5% compound annual growth rate from 2026 through 2033. The same study says North America generated 35.3% of global revenue in 2025 and describes segmentation by testing type, service model, testing platform, testing method, deployment, business model, end-use industry, and region.
Global Market Insights estimated the market at USD 51.8 billion in 2023 and projected USD 112.5 billion by 2034, with a CAGR of more than 7% for 2024–2032. It also estimated a USD 60 billion market in 2025. Its 2025-to-2034 figures indicate nearly USD 52.5 billion in additional market value over that period, based on the reported endpoints. Source: Global Market Insights software testing market report.
Other research groups report different baselines and trajectories:
| Source and scope | Starting estimate | Forecast endpoint | Reported growth rate or change |
|---|---|---|---|
| Grand View Research, global software testing | USD 49.36B in 2025 | USD 93.15B by 2033 | 8.5% CAGR, 2026–2033 |
| Coherent Market Insights, testing and QA services | USD 38.42B in 2023 | USD 90.39B by 2030 | 13% CAGR, 2023–2030 |
| Global Market Insights, software testing | USD 51.8B in 2023 | USD 112.5B by 2034 | More than 7% CAGR, 2024–2032 |
| Econ Market Research, software testing | USD 53.74B in 2024 | USD 95.32B by 2033 | 7.43% CAGR |
| Future Market Report, software testing | USD 14,500.75M in 2024 | USD 28,500.85M by 2032 | 8.9% CAGR, 2025–2032 |
Coherent Market Insights valued the global software testing and QA services market at USD 38.42 billion in 2023 and projected USD 90.39 billion by 2030, using a reported 13% CAGR for 2023–2030. Source: Coherent Market Insights / GlobeNewswire release.
Econ Market Research estimated the global software testing market at USD 53.74 billion in 2024 and forecast USD 95.32 billion by 2033, with a 7.43% CAGR during its forecast period. Source: Econ Market Research software testing market page.
Future Market Report estimated the market at USD 14,500.75 million in 2024 and projected USD 28,500.85 million by 2032, with an 8.9% CAGR from 2025 to 2032. Source: Future Market Report software testing market page.
Technavio estimated USD 15.94 billion in market growth from 2023 to 2027 and projected a 9.22% CAGR over that period. Source: Technavio software testing market PRNewswire release.
MarketReportsWorld published a much higher estimate of USD 111.06 billion for 2025 and projected USD 514.81357 billion by 2034, with an 18.6% CAGR from 2025 to 2034. Because this series differs sharply from the other estimates, it is best treated as a separate published forecast rather than reconciled with them. Source: MarketReportsWorld software testing market page.
Regional market estimates
North America is the largest region in the estimates that provide a regional breakdown. Grand View Research reported that North America accounted for 35.3% of global software testing revenue in 2025 and valued the regional market at USD 17,423.4 million in that year. These two figures come from the Grand View Research software testing market report and North America outlook.
MarketReportsWorld estimated North America’s share at about 37.5%, Europe’s at about 27%, and Asia-Pacific’s at about 30%. It placed the Middle East and Africa below 10% of global market share. These percentages are approximate and come from the MarketReportsWorld software testing market page.
The regional figures are not interchangeable: one source reports revenue and share for a defined 2025 study, while another provides approximate regional shares in a separate market series. Still, both sets identify North America as a major center of software testing activity. The available figures also show that Europe and Asia-Pacific each represent substantial portions of the market in the MarketReportsWorld breakdown.
Automation testing growth
Automation is a distinct segment within the wider software testing field. Fortune Business Insights valued the automation testing market at USD 20.60 billion in 2025. It projected USD 24.25 billion in 2026 and USD 84.22 billion by 2034, with a 16.84% CAGR from 2026 through 2034. These figures describe automation testing specifically, not the entire software testing market.
MarketReportsWorld reported that application testing represented about 54% of market value and that business-to-business services represented around 87% of market activity. Those figures provide a view of how demand may be distributed within that source’s market definition, while the automation estimate from Fortune Business Insights describes a narrower technology segment.
The market structure reported by Grand View Research is also multidimensional. Its study covers testing type, service model, platform, method, deployment, business model, end-use industry, and region. This breadth helps explain why market estimates can vary: a report emphasizing services, automation, application testing, or a particular deployment model may not measure the same commercial universe.
Testing methods and delivery practices
PractiTest’s 2024 State of Testing survey measured the methods used by respondents. Agile or Agile-like methods were reported by 92% of respondents, making them the most common approach in the survey. DevOps was reported by 45%, behavior-driven development by 26%, and test-driven development by 23%. Waterfall or waterfall-like methods were still reported by 21%, while 12% used their own unique model or principles.
These categories can overlap, so the percentages should not be added together as market shares. They indicate reported use among survey respondents rather than the percentage of all software teams worldwide.
The same PractiTest survey found that 48% of testers were part of the continuous integration and continuous delivery process in 2024. Testing teams had a formal role in release decisions as well: 81% said their testing teams had a say in release readiness.
| Practice or responsibility | Share reported in PractiTest’s 2024 survey |
|---|---|
| Agile or Agile-like methods | 92% |
| DevOps | 45% |
| BDD | 26% |
| TDD | 23% |
| Waterfall or waterfall-like methods | 21% |
| Testers part of CI/CD | 48% |
| Testing teams involved in release readiness | 81% |
AI adoption in testing
AI adoption was present but not universal in PractiTest’s 2024 State of Testing results. Sixty percent of respondents said they were not using AI tools for testing. Among reported uses, 25% used AI for test case creation, 23% for test case optimization, and 20% for test planning.
The World Quality Report 2024–25, from OpenText, Capgemini, and Sogeti, found broader organizational movement toward generative AI in quality engineering. It reported that 68% of organizations were using or roadmapping Gen AI for quality engineering. That total consisted of 34% actively utilizing Gen AI and another 34% with roadmaps after successful pilots.
The report also found that 72% saw faster automation processes from Gen AI. This is an outcome reported by surveyed organizations, not a universal productivity measurement. The coexistence of these findings is notable: one survey found that a majority of testing respondents were not using AI tools, while another found that 68% of organizations were either using or planning Gen AI for quality engineering. The surveys have different populations and scopes, so the figures should not be treated as contradictory market shares.
Quality engineering capabilities and barriers
Training and measurement remain important parts of quality engineering. The World Quality Report 2024–25 found that 82% of organizations had dedicated learning pathways for quality engineering teams, but only 50% actively tracked the effectiveness of those learning programs.
The same report identified two major automation barriers. Fifty-seven percent cited a lack of comprehensive test automation strategies, and 64% cited reliance on legacy systems. These findings point to organizational and technical constraints alongside the market’s growth forecasts.
PractiTest’s 2024 survey provides a skills profile. Communication skills were rated a top QA skill by 59% of respondents. Functional testing automation and scripting were identified by 47%, while machine-learning testing or AI was identified by 21%.
Measurement of defects was incomplete. PractiTest reported that 50% of organizations did not measure the costs of defects escaping into production. This limits direct comparison between testing investment and the financial effect of escaped defects.
Sustainability measurement was also uneven in the World Quality Report 2024–25. Twenty-five percent of organizations measured the environmental impact of overall IT development, 44% tracked the environmental impact of testing activities, and 34% implemented efficient quality-engineering practices to drive sustainability.
Finally, 61% of PractiTest respondents expected to still work in the testing domain five years from the time of the 2024 survey. Taken together with the skills, release-readiness, automation, AI, and learning figures, the survey results describe a field that is becoming more integrated with software delivery while continuing to manage measurement gaps, legacy technology, and changing skill requirements.