Top 30+ Test Automation Statistics in 2025

Testlio

February 8th, 2025

Moreover, development teams are constantly pressured to deliver high-quality applications quickly. Test automation transforms the industry by enabling faster, more efficient, and reliable testing processes.

Automation testing offers numerous benefits: It’s faster, more efficient, and cost-effective than manual testing. Organizations can save time, reduce errors, and focus on more critical tasks by automating tests. 

In this blog, we will explore over 30 test automation statistics for 2025. We will highlight the latest trends and their significance in the test automation industry. Let’s begin our journey now!

What Are the Top Test Automation Statistics in 2025?

Here are the top 36 test automation statistics in 2025:

1. Automation Has Replaced 50% or More of Manual Testing for 46% of Teams. [1]

The adoption of test automation is accelerating, with 26% of teams replacing up to 50% of their manual testing efforts and 20% replacing 75% or more. 

Only 14% of teams report no reduction in manual testing due to automation, a notable decline from 26% in 2023.

2. 40% of Testers Use ChatGPT for Test Automation Assistance. [1]

AI-powered tools like ChatGPT (40%), Claude (10%), and Gemini (6%) are being leveraged in test automation workflows. 

These tools assist in test case generation, automation scripting, and defect prediction, although 15% of teams report no AI usage in QA.

3. Automation Testing Efficiency is the Biggest Benefit of AI. [1]

The primary advantage of AI in testing is improving automation efficiency, cited by 46% of respondents. AI-driven testing also enhances test data generation (35%) and reduces reliance on manual testing (27%). 

However, challenges remain in interpreting AI-generated results, reported by 17% of teams.

4. CI/CD Integration Drives Automation Growth, Led by Jenkins (35%) and Cypress (28%). [1]

Continuous Integration tools are key enablers of automation, with Jenkins (35%) and Cypress (28%) leading in adoption. 

Test management tools like Xray, Zephyr, TestRail, and PractiTest remain competitive, ensuring seamless test execution within CI/CD pipelines.

5. 72% of Successful Businesses Benefit from Test Automation in Their Deployment Process. [2]

Successful businesses prefer to save time with efficient and automated software releases that help them accelerate development cycles and maintain a competitive edge by reducing manual errors. 

6. Over 60% of Companies See a Return on Investment From Automated Testing Tools. [3]

The immediate financial benefit shows that test automation also effectively enhances productivity and reduces costs, highlighting the strategic value of investing in the automation industry. 

7. Automation Can Boost Defect Detection by up to 90% Compared to Manual Testing. [4]

Automated testing executes and runs tests consistently and rapidly, increasing the   defect detection rates. The best part? It also greatly reduces human error. According to reports, test automation can increase the reliability and speed of software development. 

8. The Global Test Automation Market Was Valued at $15.87 Billion in 2019 and Is Expected to Reach $49.9 Billion by 2025. [5]

This research highlights that the high demand for efficient and reliable software testing tools is directly influenced by the wide adoption of DevOps and agile methodologies. Test automation is also predicted to become an integral part of the future.

9. Test Automation Can Reduce Developers’ Feedback Response Time by up to 80%. [6]

When companies hire developers for software testing, they always require immediate feedback. This helps them generate reports quickly. However, manual testing is time-consuming. Therefore, companies now hire automated testing experts to save time by getting quick feedback from developers. 

Immediate feedback cycles enable:

• Shorter development cycles
• Faster time-to-market for new features and updates
• Higher quality software

10. 42% of Large Organizations Actively Deploy AI in Testing Workflows and 40% Exploring Generative AI for Test Case Creation and Maintenance. [7]

In 2025, AI-driven testing will become an essential part of the development lifecycle, as companies face increasingly complex software systems.

Generative AI is playing a critical role in this transformation, enabling automated test creation and maintenance while delivering intelligent insights to refine test strategies. 

11. 75% of Organizations Believe That Test Automation Speeds up Innovation. [8]

Automating tests speeds up test processing and recovery.  It also allows more extensive and consistent testing, resulting in a higher coverage rate. 

12. 60% of Organizations Using Test Automation Report Significant Improvements in Application Quality. [9]

This significant improvement in application quality is due to:

• Enhanced coverage
• Early defect detection
• Consistency and accuracy of the automated tests

13. Continuous Testing is Becoming Essential for Agile Practices. [3]

Since agile methodologies emphasize rapid and iterative development cycles, continuous testing helps evaluate the code regularly to identify and resolve errors quickly during sprints. 

14. Scriptless Test Automation Tools Are Gaining Popularity. [3]

These tools help organizations automate tests without extensive coding knowledge. As a result, testing is becoming more accessible for non-technical users. It is interesting how this approach accelerates the collaboration between technical and non-technical team members. 

15. Over 70% of Test Professionals Use Automation to Identify Bugs Quickly.  [6]

Automated testing enables quick bug identification, allowing developers to focus on more critical aspects of their jobs, like building new features.

16. 26% of Teams Face Difficulties Selecting the Right Test Automation Tools​. [6]

26% of teams struggle to choose suitable test automation tools. This challenge impacts efficiency and project timelines. Careful evaluation and alignment with project requirements are essential. 

Selecting the right tools can streamline processes and improve outcomes. Comprehensive analysis and expert guidance can mitigate these difficulties for better automation success.

17. 72% of Companies Allocate 10-49% of Their QA Budget to Test Automation. [3]

This investment reflects the growing importance of automation. Efficient resource allocation ensures enhanced testing capabilities and improved software quality. This strategic expenditure underscores the value placed on streamlined, automated QA processes.

18. 33% of Teams Target Automating 50-75% of Their Test Cases. [3]

This demonstrates a significant commitment to efficiency. Balancing automation goals and manual testing is crucial for optimizing testing processes and ensuring software quality.

19. Only 18% of Teams Use Test-Driven Development (TDD). [10]

This low adoption rate highlights a significant opportunity for efficiency gains. Implementing TDD can:

• Enhance code quality
• Reduce bugs
• Improve overall productivity

Companies should consider TDD to stay competitive and deliver robust, reliable software solutions.

20. 97% of Organizations Consider API Testing Essential. [11]

This high adoption rate underscores the importance of API testing in ensuring robust and reliable integrations. Effective API testing helps businesses:

• Maintain seamless operations
• Enhancing overall software quality and performance.

21. Less Than 50% of Companies Use AI Capabilities for Test Automation. [3]

This highlights a significant opportunity for businesses to enhance efficiency. Leveraging AI in testing can lead to improved accuracy, faster results, and reduced costs. Using these capabilities will be important for staying competitive in a rapidly evolving technological landscape.

22. 73% of Testers Use Automation for Functional and Regression Testing. [6]

This high adoption rate underscores automation’s critical role in enhancing testing efficiency. Businesses must prioritize automating repeatable, stable, and reusable test cases with high passing rates. to stay competitive. 

Automation ensures thorough, reliable testing, ultimately improving software quality and reducing time-to-market.

23. 68% of Organizations Are Utilizing Generative AI for Test Automation. [12]

The report shows that 68% of organizations are either actively utilizing Generative AI (34%) or have developed roadmaps following successful pilot implementations (34%). 

Test automation is the leading area where Generative AI is making an impact, with 72% of respondents reporting faster automation processes as a result of Gen AI integration.

This shift underscores the increasing reliance on AI to optimize test automation workflows, accelerate test creation, and improve overall efficiency in quality assurance processes.

24. North America and Europe Represent the Largest Share of Spend, With Asia Pacific Growing Fastest at a 16% CAGR. [6]

The region’s rapid growth highlights increasing investment in automation. This trend indicates a shifting focus towards efficiency and innovation in these markets.

25. 77% of Companies Have Adopted Automated Software Testing. [3]

This significant adoption highlights the growing importance of efficiency and accuracy in software development. Automated testing accelerates development cycles and ensures higher-quality software. 

Companies recognize its value in reducing errors, saving time, and enhancing productivity. 

26. 55% of Companies Indicate Automation as a Key Part of Their Quality Assurance Process. [11]

This highlights the growing reliance on automation for consistent and efficient testing. Businesses increasingly prioritize automated solutions to ensure robust software quality, reflecting industry trends toward streamlined and effective QA practices. This shift underscores the critical role of automation in modern QA strategies.

27. 48% of Companies Suffer From Too Much Reliance on Manual Testing. [6]

This reliance hampers efficiency and scalability. Adopting automated testing solutions can significantly reduce errors and enhance productivity. 

Choosing automation enables businesses to keep up with evolving industry standards. It allows them to ensure higher quality and faster delivery of software products.

However, automation cannot and should not replace manual testing. Manual testing is still necessary for testing scenarios requiring human intuition and creativity. 

28. Only 5% of Companies Use Fully Automated Testing. [13]

This low adoption rate underscores the potential efficiency gains and competitive advantage available to businesses. The adoption of fully automated testing can streamline processes and enhance product quality.

29. Adoption of Selenium Alternatives Like Cypress and Playwright Is Growing. [14]

Businesses are favoring them for modern web applications. Their user-friendly features and robust testing capabilities are driving this shift. Consequently, more organizations are integrating these advanced tools into their test automation strategies. 

30. AI-Powered Automation Enhances Exploratory Testing and Real-Time KPI Tracking.  [13]

This efficiency ensures:

• Higher software quality
• Accelerates development cycles
• Enhances overall project management. 

Consequently, AI-driven solutions streamline processes. They are driving productivity and fostering better decision-making in software testing environments.

31. 85% of Organizations Use Cloud-Based Test Automation Solutions. [15]

This trend highlights the increasing preference for scalable and efficient testing environments. Cloud solutions offer flexibility, faster deployment, and cost savings. Cloud-based solutions help businesses seeking to optimize their software development and testing processes.

32. Adoption of Machine Learning and AI Testing Has More Than Doubled Since 2023. [1]

The integration of machine learning (ML) and artificial intelligence (AI) in test automation is gaining traction. 

AI testing adoption has increased from 7% in 2023 to 16% in 2025, signaling a growing interest in leveraging AI-driven automation, defect prediction, and analytics.

While still a niche area, the use of AI/ML in software testing is becoming more relevant as organizations:

• Experiment with self-healing test automation frameworks that adjust to changes in UI and application behavior.
• Utilize predictive analytics to identify and address defects before they impact production.
• Optimize test execution and maintenance through AI-enhanced automation strategies.

33. 90% of Businesses Believe Test Automation Is Essential for Digital Transformation. [3]

Integrating automation into testing processes accelerates development, ensuring robust, error-free software. As a result, businesses can innovate rapidly and maintain a competitive edge. Besides, businesses are meeting the ever-evolving digital demands efficiently.

34. Functional Testing (66.5%), API Testing (54.2%), and Regression Testing (50.5%) Are the Most Preferred Tests for Automation. [16]

These choices underscore their critical role in ensuring robust software performance. 

• Functional Testing verifies user interactions.
• API Testing ensures seamless integration.
• Regression Testing safeguards against new code disruptions

Businesses are prioritizing these tests to make them indispensable for quality assurance.

35. 64.2% of Respondents Use Selenium for Test Automation, Making It the Top Choice. Appium and Cucumber Follow With 22% and 18%, respectively. [16]

Selenium leads in test automation, with 64.2% of respondents using it for its flexibility and browser compatibility. 

Appium, preferred by 22%, excels in mobile testing. 

Cucumber, favored by 18%, is valued for its behavior-driven development support. 

36. 39% of Teams Report AI-Driven Test Automation Efficiency Gains. [1]

AI is reshaping testing, with 39% of testers citing improved efficiency in test automation.

Additional benefits include better test maintenance (37%), enhanced defect prediction (22%), and more intelligent test case prioritization (22%). However, AI’s role in cross-functional collaboration remains limited (13%).

These choices reflect the diverse needs of modern test automation strategies.

Conclusion

Test automation has made it possible for developers to focus on the technical aspects of their projects. Companies can now save time by adopting automated testing services. 

Selecting the right talent and partners for automated testing has become a challenge. When selecting a test automation partner, it is crucial to select ones that offer strong support services, reasonable budgets, and dependable services. 

Ask an expert on our team to see what makes Testlio different from other providers. 

References

1. PractiTest. The 2025 State of Testing™ Report. Available at: https://www.practitest.com/state-of-testing/
2. The CTO Club. QA Technologies Data Statistics. Available at: https://thectoclub.com/test-management/2020-software-testing-trends-qa-technologies-data-statistics/
3. DogQ. Test Automation Statistics for Making the Right Decisions. Available at: https://dogq.io/blog/test-automation-statistics-for-making-the-right-decisions/
4. ExpertBeacon. Transition from Manual to Automation Testing. Available at: https://expertbeacon.com/transition-from-manual-to-automation-testing/
5. The Business Research Company. Automation Testing Market Report 2025. Available at: https://www.thebusinessresearchcompany.com/report/automation-testing-global-market-report
6. LLCBuddy. Test Automation Software Statistics. Available at: https://llcbuddy.com/data/test-automation-software-statistics/#source-10
7. IBM Research. AI in Software Testing. Available at: https://newsroom.ibm.com/2024-01-10-Data-Suggests-Growth-in-Enterprise-Adoption-of-AI-is-Due-to-Widespread-Deployment-by-Early-Adopters
8. Mabl. How Test Automation Improves Deployment Velocity. Available at: https://www.mabl.com/blog/how-test-automation-improves-deployment-velocity-mabl
9. Gartner Peer Insights. Automated Software Testing Adoption Trends. Available at: https://www.gartner.com/peer-community/oneminuteinsights/omi-automated-software-testing-adoption-trends-7d6
10. Research.AIMultiple. Software Testing Best Practices. Available at: https://research.aimultiple.com/software-testing-best-practices/
11. Marketingscoop. AI in Test Automation Statistics. Available at: https://www.marketingscoop.com/ai/test-automation-statistics/
12. Capgemini. World Quality Report 2024 – 68% of Organizations Now Utilizing Gen AI to Advance Quality Engineering. Available at: https://www.capgemini.com/us-en/news/press-releases/world-quality-report-2024-shows-68-of-organizations-now-utilizing-gen-ai-to-advance-quality-engineering/
13. ERP Today. Myth-Busting Your Test Automation Beliefs. Available at: https://erp.today/myth-busting-your-test-automation-beliefs/
14. TestGuild. Top Automation Testing Trends. Available at: https://testguild.com/automation-testing-trends/
15. Gartner. Cloud Report. Available at: https://www.gartner.com/en/newsroom/press-releases/2021-11-10-gartner-says-cloud-will-be-the-centerpiece-of-new-digital-experiences
16. Simform. State of Test Automation Survey 2024. Available at: https://www.simform.com/state-of-test-automation-survey-2024/