Test Automation Statistics & Trends for 2025 (QA Industry Report)

We latterly question 1,400 QA professionals in the to get at these test automation statistics for 2025. 72 % of them have up to 10 geezerhood of experience, and 16.2 % of them receive from 6-9 days of experience.The topics we appraise include:

1. The rise of hybrid quizzer and the skillset required of one
2. Job satisfaction of testers
3. The rise of AI in testing
   
4. Challenges in scaling QA practices in an organization and how to overcome
5. Speed vs. calibre in package ontogenesis
6. QA leadership
7. Strategic drivers in modern QA
   

Here are some notable statistics from the survey:

Here are some more insights you may bump valuable:

SUSA automates exploratory testing with persona-driven behavior, catching bugs that scripted automation misses.

• Up to 82 % of testers however use manual testing in their day-to-day employment. Around 45 % of them automate fixation testing for better efficiency. Regression examination is also the most automated.
• The top challenges in achieving quality finish are & nbsp;Insufficient clip for thorough examination(55%) and High workload(44%).
• The main challenges of quizzer face in their QA career are: & nbsp;
• 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.
• & nbsp; 72 % are using AI (ChatGPT, GitHub Copilot, Claude) for test example and handwriting generation, another 35 % use it for test optimization.
• 82 % QAs believe that AI is depart to be important in the future 3-5 years.
• Up to 51.53 % of these testers involved end-users in their examination procedure. Only 4.9 % never do so.
• 36 % recorded positive ROI in their projects, with a decorous 21 % seeing significant ROI.
• Most effective strategies for scaling AI in the future include & nbsp;increasing automation coverage(72.88 %) andclothe in AI/ML(67.16%).

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