Test Automation Statistics For 2025
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We recently interviewed 1,400 QA professionals in the State of Quality Report 2025 to arrive at these test automation statistics for 2025. 72% of them have up to 10 years of experience, and 16.2% of them have from 6-9 years of experience. The topics we surveyed include:
- The rise of hybrid testers and the skillset required of one
- Job satisfaction of testers
- The rise of AI in testing
- Challenges in scaling QA practices in an organization and how to overcome
- Speed vs. quality in software development
- QA leadership
- Strategic drivers in modern QA
Here are some notable statistics from the survey:

Here are some more insights you may find valuable:
- Up to 82% of testers still use manual testing in their day-to-day work. Around 45% of them automate regression testing for better efficiency. Regression testing is also the most automated.
- The top challenges in achieving quality goals are Insufficient time for thorough testing (55%) and High workload (44%).
- The main challenges of testers face in their QA career are:
- Top automation testing tools/frameworks their team are currently using include Selenium, Postman, Katalon, and Cucumber.
- 61% expressed an interest in exploring AI-driven testing tools, while another 48% shared that CI/CD tools are their plan to adopt.
- 72% are using AI (ChatGPT, GitHub Copilot, Claude) for test case and script generation, another 35% use it for test optimization.
- 82% QAs believe that AI is going to be important in the next 3-5 years.
- Up to 51.53% of these testers involved end-users in their testing process. Only 4.9% never do so.
- 36% recorded positive ROI in their projects, with a decent 21% seeing significant ROI.
- Most effective strategies for scaling AI in the future include increasing automation coverage (72.88%) and investing in AI/ML (67.16%).
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Test Automation Statistics FAQs
Where do these 2025 statistics come from?
They’re drawn from the State of Quality Report 2025, based on interviews with 1,400 QA professionals (72% with ≤10 years’ experience; 16.2% with 6–9 years).
How are teams balancing manual vs. automated testing?
82% still use manual testing daily, while about 45% automate regression testing—identified as the most automated testing type.
What are the biggest challenges to hitting quality goals?
The top obstacles are insufficient time for thorough testing (55%) and high workload (44%).
How is AI and tooling adoption evolving?
Common tools include Selenium, Postman, Katalon, and Cucumber. Interest is strong in AI and CI/CD: 61% plan to explore AI-driven testing tools; 48% plan to adopt CI/CD tools. Already, 72% use AI (e.g., ChatGPT/Copilot/Claude) for test case/script generation and 35% for test optimization, and 82% believe AI will be important in the next 3–5 years.
What outcomes and practices are teams seeing?
36% report positive ROI (with 21% seeing significant ROI). 51.53% involve end-users in testing (only 4.9% never do). Leading scale strategies include increasing automation coverage (72.88%) and investing in AI/ML (67.16%).