PUBLISHER: The Business Research Company | PRODUCT CODE: 2149383
PUBLISHER: The Business Research Company | PRODUCT CODE: 2149383
An artificial intelligence (AI)-powered software testing tool refers to a software solution that uses artificial intelligence, machine learning, and automation technologies to enhance the software testing process by identifying defects, generating test cases, and improving test accuracy. These tools analyze application behavior, predict potential issues, and optimize testing workflows to reduce manual effort and accelerate software development cycles.
The primary components of artificial intelligence (AI) powered software testing tools include software and services. Software refers to digital testing solutions that use artificial intelligence to automate test creation, execution, defect detection, and software quality analysis. These tools incorporate technologies such as machine learning, natural language processing, computer vision, generative artificial intelligence, and predictive analytics and are deployed through cloud-based and on-premises models. They are adopted by small and medium-sized enterprises and large enterprises and are utilized across industry verticals including banking, financial services and insurance, information technology and telecommunications, healthcare and life sciences, retail and e-commerce, manufacturing, government and public sector, media and entertainment, automotive, and others.
Tariffs are influencing the artificial intelligence (AI) powered software testing tool market by increasing the cost of imported computing hardware, servers, networking equipment, and semiconductor components that support AI-based testing infrastructure. This can raise deployment and infrastructure costs for cloud-based and on-premises testing environments, with technology-intensive regions such as Asia-Pacific and North America facing greater exposure to global supply chain dependencies. Enterprise users in information technology and telecommunications, banking financial services and insurance, and manufacturing can be particularly affected as they operate large-scale testing environments. However, tariffs are also encouraging regional infrastructure sourcing, domestic technology investment, and greater use of software-based and cloud testing solutions, supporting long-term resilience in the market.
The artificial intelligence (AI) powered software testing tool market research report is one of a series of new reports from The Business Research Company that provides artificial intelligence (AI) powered software testing tool market statistics, including artificial intelligence (AI) powered software testing tool industry global market size, regional shares, competitors with a artificial intelligence (AI) powered software testing tool market share, detailed artificial intelligence (AI) powered software testing tool market segments, market trends and opportunities, and any further data you may need to thrive in the artificial intelligence (AI) powered software testing tool industry. This artificial intelligence (AI) powered software testing tool 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) powered software testing tool market size has grown strongly in recent years. It will grow from $3.47 billion in 2025 to $3.73 billion in 2026 at a compound annual growth rate (CAGR) of 7.3%. The growth in the historic period can be attributed to increasing software application complexity, rising demand for software quality assurance, growing manual testing workloads, increasing software development activity, and rising pressure to reduce testing cycles.
The artificial intelligence (AI) powered software testing tool market size is expected to see strong growth in the next few years. It will grow to $4.99 billion in 2030 at a compound annual growth rate (CAGR) of 7.6%. The growth in the forecast period can be attributed to increasing demand for autonomous testing workflows, rising adoption of predictive defect analysis, growing need for continuous software testing, increasing demand for intelligent regression testing, and rising requirements for faster software release cycles. Major trends in the forecast period include increasing adoption of AI-generated test cases, rising use of self-healing test automation, growing adoption of intelligent test prioritization, increasing demand for automated defect prediction, and rising use of AI-driven test maintenance.
The increasing adoption of cloud computing across enterprises is expected to drive the growth of the artificial intelligence (AI) powered software testing tool 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 is driving demand for artificial intelligence (AI) powered software testing tools by enabling automated, scalable, and continuous testing of cloud-native applications across dynamic development environments. For instance, in January 2026, according to Eurostat, a Luxembourg-based official European Union statistical office, in 2025, 52.74% of EU enterprises used paid cloud computing services, primarily for e-mail, office software, and file storage, showing an increase compared with 2023. Therefore, the increasing adoption of cloud computing across enterprises is driving the growth of the artificial intelligence (AI) powered software testing tool market.
Major companies operating in the artificial intelligence (AI)-powered software testing tool market are focusing on developing innovative platforms, such as artificial intelligence agent-based software testing platforms, to enhance test automation, accelerate software release cycles, improve defect detection accuracy, and reduce dependence on manual testing processes. AI agent-based software testing platforms use artificial intelligence, machine learning, natural language processing, and autonomous agents to design, execute, manage, and optimize software tests with minimal human intervention. For instance, in March 2025, UiPath Robotic Process Automation India Private Limited, an India-based enterprise automation and AI software company, launched UiPath Test Cloud, an innovative AI-powered agentic testing platform designed for software quality assurance teams. The platform introduces AI agents, including UiPath Autopilot for Testers and customizable agents built through Agent Builder, to support end-to-end software testing activities. UiPath Test Cloud enables AI-assisted test design, test automation, test execution, and test management across modern web, mobile, and enterprise applications. It provides resilient automation capabilities for applications such as SAP, Oracle, Salesforce, and other enterprise systems while supporting both low-code and coded testing approaches. The platform integrates AI-driven change impact analysis, test gap analysis, continuous integration and continuous delivery (CI/CD) workflows, and application lifecycle management (ALM) integrations to improve testing efficiency. It enables testers to collaborate with AI agents that perform testing tasks, reduce repetitive manual efforts, accelerate software delivery, and improve application reliability.
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 an artificial intelligence (AI)-powered software testing tool.
Major companies operating in the artificial intelligence (AI) powered software testing tool market are Keysight Technologies Inc., OpenText Corporation, UiPath Inc., Progress Software Corporation, Perforce Software Inc., BrowserStack Inc., SmartBear Software Inc., Copado Inc., Parasoft Corporation, Katalon Inc., Webomates Inc., QA Wolf Inc., Testsigma Technologies Inc., Functionize Inc., Kobiton Inc., Mabl Inc., Autify Inc., Tricentis GmbH, BotGauge AI Inc., testRigor Inc., BlinqI Technologies Inc., Sauce Labs Inc.
North America was the dominant region in the artificial intelligence (AI) powered software testing tool 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) powered software testing tool 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) powered software testing tool market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.
The artificial intelligence (AI)-powered software testing tool market consists of revenues earned by entities by providing services such as intelligent test automation services, artificial intelligence-powered defect detection and prediction services, artificial intelligence-based test data management services, and artificial intelligence-driven test analytics and reporting 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)-powered software testing tool market also includes sales of AI workstations, high performance servers, edge AI devices, test automation appliances, and test automation appliances. 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) Powered Software Testing Tool 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) powered software testing tool 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) powered software testing tool ? 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) powered software testing tool 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.