PUBLISHER: The Business Research Company | PRODUCT CODE: 2149379
PUBLISHER: The Business Research Company | PRODUCT CODE: 2149379
Artificial intelligence (AI) in test automation refers to the use of artificial intelligence to automate and improve software testing activities, including test creation, execution, maintenance, and analysis. It enhances testing accuracy, reduces manual effort, accelerates software release cycles, and enables faster identification of defects across the software development lifecycle.
The primary components of artificial intelligence (AI) in test automation include solutions and services. Solutions refer to software tools that use artificial intelligence capabilities to automate software testing activities, identify defects, generate test cases, and improve testing efficiency and accuracy. These solutions utilize technologies such as machine learning, natural language processing, generative artificial intelligence, computer vision, and predictive analytics. They are deployed through cloud, on-premises, and hybrid models and are utilized by end users including healthcare, information technology and telecommunications, energy and utilities, banking financial services and insurance, government, and others.
Tariffs are influencing the artificial intelligence (AI) in test automation market by increasing the cost of imported computing hardware, servers, networking equipment, and semiconductor-based devices required to support automated testing environments. This can raise testing infrastructure costs and slow deployment, particularly in regions dependent on imported technology such as Asia-Pacific and Latin America. Hardware-intensive deployments such as on-premises and hybrid environments are most affected due to their reliance on physical computing and networking infrastructure. However, tariffs are also encouraging regional supplier diversification, local technology investment, and greater adoption of cloud-based testing solutions, creating long-term resilience in the market.
The artificial intelligence (AI) in test automation market research report is one of a series of new reports from The Business Research Company that provides artificial intelligence (AI) in test automation market statistics, including artificial intelligence (AI) in test automation industry global market size, regional shares, competitors with a artificial intelligence (AI) in test automation market share, detailed artificial intelligence (AI) in test automation market segments, market trends and opportunities, and any further data you may need to thrive in the artificial intelligence (AI) in test automation industry. This artificial intelligence (AI) in test automation market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.
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.
The artificial intelligence (AI) in test automation market consists of revenues earned by entities by providing services such as automated test design and execution services, test maintenance and optimization services, defect detection and quality assurance services, test reporting and analytics services, and continuous testing and test management services. The market value includes the value of related goods sold by the service provider or included within the service offering. The artificial intelligence (AI) in test automation market also includes sales of AI edge computing devices, industrial embedded computers, vision sensors, machine vision cameras, and IoT gateway devices. Values in this market are 'factory gate' values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.
The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).
The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.
Artificial Intelligence (AI) In Test Automation Market Global Report 2026 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.
This report focuses artificial intelligence (ai) in test automation market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.
Where is the largest and fastest growing market for artificial intelligence (ai) in test automation ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The artificial intelligence (ai) in test automation market global report from the Business Research Company answers all these questions and many more.
The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, total addressable market (TAM), market attractiveness score (MAS), competitive landscape, market shares, company scoring matrix, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.
Added Benefits available all on all list-price licence purchases, to be claimed at time of purchase. Customisations within report scope and limited to 20% of content and consultant support time limited to 8 hours.