Artificial Intelligence (AI) In Test Automation Market Report 2026

Artificial Intelligence (AI) In Test Automation Market Overview

• Artificial Intelligence (AI) In Test Automation market size has reached to $0.62 billion in 2025 • Expected to grow to $1.93 billion in 2030 at a compound annual growth rate (CAGR) of 25.3% • Growth Driver: The Increasing Adoption Of Cloud Computing Across Enterprises Driving The Growth Of Market Due To Reduce Information Technology Costs • Market Trend: Advancements In Artificial Intelligence-Native Testing Systems Enhance Software Quality Assurance • North America was the largest region in 2025 and Asia-Pacific is the fastest growing region.

What Is Covered Under Artificial Intelligence (AI) In Test Automation Market?

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, speeds up software release cycles, and enables faster identification of defects across the software development lifecycle. The main 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.

What Is The Artificial Intelligence (AI) In Test Automation Market Growth Forecast?

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, rising requirement 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, rising use of automated regression testing.

What Is The Driver Of The Artificial Intelligence (AI) In Test Automation Market?

The increasing adoption of cloud computing across enterprises is expected to propel the growth of the artificial intelligence (AI) in test automation market going forward. 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 due to its ability to reduce information technology costs by eliminating the need for large upfront investments in physical infrastructure and lowering ongoing expenses for maintenance, upgrades, and in-house information technology management. 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 (48%), file storage (42%), finance or accounting software (41%), and security software (39%). Therefore, the increasing adoption of cloud computing across enterprises is driving the growth of the artificial intelligence (AI) in test automation industry.

Key Players In The Global Artificial Intelligence (AI) In Test Automation Market

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.

Global Artificial Intelligence (AI) In Test Automation Market Trends and Insights

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 enhance 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 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 real 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 actual user behavior, enabling organizations to improve testing efficiency while reducing maintenance overhead.

What Are Latest Mergers And Acquisitions In The Artificial Intelligence (AI) In Test Automation Market?

In July 2024, Tricentis LLC, an Austria-based software testing and quality engineering company, acquired SeaLights for an undisclosed amount. With this acquisition, Tricentis aims 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 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.

What Defines the Artificial Intelligence (AI) In Test Automation Market?

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.

How is Market Value Defined and Measured?

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.

What Key Data and Analysis Are Included in the Artificial Intelligence (AI) In Test Automation Market Report 2026?

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 market statistics, including industry global market size, regional shares, competitors with the market share, detailed market segments, market trends and opportunities, and any further data you may need to thrive in the artificial intelligence (ai) in test automation industry. The market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future state of the industry.