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.
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Table of Contents
Executive Summary
Artificial Intelligence (AI) Powered Software Testing Tool Market Global Report 2026 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.
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Description
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 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.
- The market characteristics section of the report defines and explains the market. This section also examines key products and services offered in the market, evaluates brand-level differentiation, compares product features, and highlights major innovation and product development trends.
- The supply chain analysis section provides an overview of the entire value chain, including key raw materials, resources, and supplier analysis. It also provides a list competitor at each level of the supply chain.
- The updated trends and strategies section analyses the shape of the market as it evolves and highlights emerging technology trends such as digital transformation, automation, sustainability initiatives, and AI-driven innovation. It suggests how companies can leverage these advancements to strengthen their market position and achieve competitive differentiation.
- The regulatory and investment landscape section provides an overview of the key regulatory frameworks, regularity bodies, associations, and government policies influencing the market. It also examines major investment flows, incentives, and funding trends shaping industry growth and innovation.
- The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
- The forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.
- The total addressable market (TAM) analysis section defines and estimates the market potential compares it with the current market size, and provides strategic insights and growth opportunities based on this evaluation.
- The market attractiveness scoring section evaluates the market based on a quantitative scoring framework that considers growth potential, competitive dynamics, strategic fit, and risk profile. It also provides interpretive insights and strategic implications for decision-makers.
- Market segmentations break down the market into sub markets.
- The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth.
- Expanded geographical coverage includes Taiwan and Southeast Asia, reflecting recent supply chain realignments and manufacturing shifts in the region. This section analyzes how these markets are becoming increasingly important hubs in the global value chain.
- The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
- The company scoring matrix section evaluates and ranks leading companies based on a multi-parameter framework that includes market share or revenues, product innovation, and brand recognition.
Scope
Markets Covered:
1) By Component: Software; Services2) By Technology: Machine Learning; Natural Language Processing; Computer Vision; Generative Artificial Intelligence; Predictive Analytics
3) By Deployment Mode: Cloud-Based; On-Premises
4) By Enterprise Size: Small And Medium-Sized Enterprises; Large Enterprises
5) By Industry Vertical: 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; Other Industry Verticals
Subsegments:
1) By Software: Visual Testing Software; Functional Testing Software; Performance Testing Software; Application Programming Interface Testing Software; Mobile Application Testing Software; Security Testing Software; Regression Testing Software; Continuous Testing Software; Cross-Browser Testing Software2) By Services: Professional Services; Consulting Services; Implementation Services; Integration Services; Training Services; Support And Maintenance Services; Managed Testing Services; Quality Assurance Services; Cloud Migration Services; Customization Services
Companies Mentioned: 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.
Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Taiwan; Russia; South Korea; UK; USA; Canada; Italy; Spain
Regions: Asia-Pacific; South East Asia; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
Time Series: Five years historic and ten years forecast.
Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita.
Data Segmentations: Country and regional historic and forecast data, market share of competitors, market segments.
Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
Delivery Format: Word, PDF or Interactive Report + Excel Dashboard
Added Benefits
- Bi-Annual Data Update
- Customisation
- Expert Consultant Support
Companies Mentioned
- 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.

