Artificial Intelligence (AI) In Test Automation Market Global Report 2026

The artificial intelligence (AI) in test automation market size has grown exponentially in recent years. It will grow from $0.62 billion in 2025 to $0.78 billion in 2026 at a compound annual growth rate (CAGR) of 25.7%. The growth in the historic period can be attributed to increasing software development activity, rising demand for faster software release cycles, growing complexity of software applications, increasing need for software quality assurance, and rising manual testing costs.

The artificial intelligence (AI) in test automation market size is expected to see exponential growth in the next few years. It will grow to $1.93 billion in 2030 at a compound annual growth rate (CAGR) of 25.3%. The growth in the forecast period can be attributed to increasing demand for continuous testing, rising adoption of intelligent test management solutions, growing need for scalable testing across applications, increasing demand for automated security testing, and rising requirements for faster defect identification. Major trends in the forecast period include increasing adoption of codeless test automation, rising use of shift-left testing practices, growing adoption of API test automation, increasing demand for mobile application test automation, and rising use of automated regression testing.

The increasing adoption of cloud computing across enterprises is expected to drive the growth of the artificial intelligence (AI) in test automation market in the coming years. Cloud computing across enterprises refers to the use 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 increasing adoption of cloud computing across enterprises is attributed to its ability to reduce information technology costs by eliminating the need for large upfront investments in physical infrastructure and lowering ongoing expenses related to maintenance, upgrades, and in-house information technology management. The increasing adoption of cloud computing across enterprises enables scalable testing environments, seamless CI/CD integration, and real-time access to AI-powered testing tools, accelerating software testing efficiency and automation. For instance, in January 2024, according to the Central Statistics Office (CSO), an Ireland-based government statistical agency, in 2023, 52% of enterprises used cloud-based e-mail services, 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 increasing adoption of cloud computing across enterprises is driving the growth of the artificial intelligence (AI) in test automation market.

Major companies operating in the artificial intelligence (AI) in test automation market are focusing on developing innovative solutions, such as artificial intelligence (AI)-native automated testing systems, to improve test coverage accuracy, reduce manual scripting, and accelerate software quality assurance by continuously adapting to real-world user behavior. An artificial intelligence (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 depend 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, reducing the need for manual script updates. It prioritizes business-critical workflows based on actual user behavior, enabling organizations to improve testing efficiency while reducing maintenance requirements.

In July 2024, Tricentis LLC, an Austria-based software testing and quality engineering company, acquired SeaLights for an undisclosed amount. Through this acquisition, Tricentis aimed to enhance its AI-powered quality intelligence capabilities by integrating SeaLights’ software analytics technology to provide deeper code visibility, risk assessment, and automated testing insights across the continuous integration and continuous delivery (CI/CD) pipeline. SeaLights Technologies Ltd. is an Israel-based company that provides AI-powered test automation solutions for intelligent test optimization, continuous testing, and software quality assurance.

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.

North America was the dominant region in the artificial intelligence (AI) in test automation market in 2025. Asia-Pacific is expected to be the rapidly 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.

The countries covered in the artificial intelligence (AI) in test automation market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

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