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Artificial Intelligence (AI) In Test Automation Market Size Forecast: How Big Could The Market Get By 2030?
The artificial intelligence (AI) in test automation market size has experienced rapid expansion in recent years. It is anticipated to increase from $0.62 billion in 2025 to $0.78 billion in 2026 at a compound annual growth rate (CAGR) of 25.7%. The historical growth in this period can be attributed to factors such as increasing software development activity, rising demand for faster software release cycles, the growing complexity of software applications, an increasing need for software quality assurance, and rising manual testing costs.
The artificial intelligence (AI) in test automation market is anticipated to experience substantial growth over the next few years. It is projected to reach $1.93 billion in 2030 at a compound annual growth rate (CAGR) of 25.3%. This expansion within the forecast period is propelled by factors such as the increasing demand for continuous testing, the rising adoption of intelligent test management solutions, the growing need for scalable testing across applications, the increasing demand for automated security testing, and the rising requirement for faster defect identification. Additionally, major trends expected during this period include the increasing adoption of codeless test automation, the rising use of shift-left testing practices, the growing adoption of API test automation, the increasing demand for mobile application test automation, and the rising use of automated regression testing.
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Artificial Intelligence (AI) In Test Automation Market Development Factors: What’s Supporting Demand?
The anticipated expansion of the artificial intelligence (AI) in test automation market going forward is intrinsically linked to the growing embrace of cloud computing by businesses. Enterprise cloud computing is defined as the utilization of shared, scalable, and on-demand computing resources, such as storage, applications, and processing power, delivered over the internet to support business operations across multiple organizations. The escalating adoption of cloud computing by enterprises is largely attributed to its capability to lower information technology costs by removing the necessity for substantial upfront investments in physical infrastructure and reducing ongoing expenditures for maintenance, upgrades, and in-house information technology management. This increasing enterprise adoption of cloud computing fosters scalable testing environments, enables seamless CI/CD integration, and provides real-time access to AI-powered testing tools, thereby accelerating software testing efficiency and automation. For instance, in January 2024, data from the Central Statistics Office (CSO), an Ireland-based government statistical agency, revealed that in 2023, 52% of enterprises were using cloud-based e-mail services. This was followed by cloud-based office software at 48%, file storage at 42%, finance or accounting software at 41%, and security software at 39%. Therefore, the growing integration of cloud computing across enterprises is a key driver for the growth of the artificial intelligence (AI) in test automation market.
Artificial Intelligence (AI) In Test Automation Market Segment Breakdown: Which Categories Lead On Revenue?
The artificial intelligence (AI) in test automation market covered in this report is segmented –
1) By Component: Solution, Services
2) By Technology: Machine Learning, Natural Language Processing, Generative Artificial Intelligence, Computer Vision, Predictive Analytics
3) By Deployment Model: Cloud, On-Premises, Hybrid
4) By End User: Healthcare, Information Technology And Telecommunications, Energy And Utilities, Banking Financial Services And Insurance, Government, Other End Users
Subsegments:
1) By Solution: Functional Testing Solutions, Regression Testing Solutions, Performance Testing Solutions, Visual Testing Solutions, Application Programming Interface Testing Solutions, Mobile Application Testing Solutions, Security Testing Solutions, Continuous Testing Solutions, Intelligent Test Management Solutions
2) By Services: Consulting Services, Implementation Services, Integration Services, Training Services, Support And Maintenance Services, Managed Testing Services, Customization Services, Technical Support Services
Artificial Intelligence (AI) In Test Automation Market Transformation Trends: What Innovations Are Driving Change?
Leading companies in the artificial intelligence (AI) in test automation market are concentrating on developing innovative solutions, such as AI-native automated testing systems. These systems aim to enhance test coverage accuracy, reduce manual scripting, and accelerate software quality assurance by constantly adapting to real-world user behavior. An AI-native automated testing system is an advanced testing platform that uses artificial intelligence to automatically observe application usage and generate, prioritize, and maintain test cases based on actual user interactions, unlike traditional automation tools that rely on manually created scripts and predefined test scenarios requiring frequent maintenance. For instance, in April 2025, Katalon Inc., a US-based software testing and quality engineering company, launched TrueTest, an AI-native automated testing system designed to transform software testing through production-driven intelligence. TrueTest continuously monitors real user journeys in production environments and automatically generates automated test cases that reflect actual application usage patterns. The platform features self-maintaining test suites that automatically adapt to application changes, minimizing the need for manual script updates. It prioritizes business-critical workflows based on real user behavior, enabling organizations to improve testing efficiency while reducing maintenance overhead.
Artificial Intelligence (AI) In Test Automation Market Top Companies Driving Competitive Growth
Major companies operating in the artificial intelligence (AI) in test automation market are International Business Machines Corporation, Capgemini SE, OpenText Corporation, UiPath Inc., Progress Software Corporation, Mabl Inc., Copado Inc., Sauce Labs Inc., Parasoft Corporation, Leapwork A/S, Katalon Inc., QA Wolf Inc., Testsigma Technologies Inc., Functionize Inc., Kobiton Inc., SmartBear Software Inc., Diffblue Ltd., Tricentis GmbH, Keysight Technologies Inc., Perforce Software Inc., testRigor Inc.
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Artificial Intelligence (AI) In Test Automation Market Global Footprint: Which Region Leads The Industry?
North America was the largest region in the artificial intelligence (AI) in test automation market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the artificial intelligence (AI) in test automation market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
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Wasay has over a decade of experience in market research, data modelling, and analytics, with prior experience at GlobalData and Decision Tree Consulting Services. At The Business Research Company , he leads research operations across syndicated studies, customized consulting engagements, and the Global Market Model platform. His professional experience includes supporting organizations such as Boston Consulting Group, KPMG, and Ernst & Young. Wasay holds a degree in Electronics and Communications Engineering, postgraduate management qualifications from International Management Institute Belgium and Indian School of Business and Entrepreneurship, and completed the Integrated Program in Business Analytics from Indian Institute of Management Indore.