Best Ai Augmented Software Testing Tools Reviews 2025 Gartner

Bonisiwe Shabane

-Oct 28, 2025, 7:43 AM

best ai augmented software testing tools reviews 2025 gartner

Katalon named a Visionary in 2025 Gartner Magic Quadrant. Learn more. Create Automated Tests Faster: For Teams of Any Size Create Automated Tests Faster: For Teams of Any Size Katalon gives leaders a clear path for AI in QA. Generate, maintain, and optimize tests with AI-powered user journey mapping, natural language automation, and self-healing capabilities that flexibly fit into any environment.Get an independent view of AI-augmented testing and how to evaluate partners that...

Gartner, Magic Quadrant for AI-Augmented Software Testing Tools, Joachim Herschmann, Sushant Singhal, 6 October 2025 The AI-enabled testing market is expected to surge from $57.54 billion in 2024 to $652.91 billion by 2034, growing at a robust CAGR of 27.49% between 2025 and 2034. It’s projected to hit $73.36 billion in 2025, marking a significant acceleration in adoption and investment. The best AI tools for testing are transforming how developers and QA teams ensure software quality. By using artificial intelligence and machine learning, these tools automate test creation, adapt to UI changes, and detect visual bugs, reducing manual effort and improving efficiency. Whether you’re working with Katalon, Applitools, Mabl, or Testim, these tools are designed to speed up testing and make your QA efforts more accurate.

In this guide, I’ll walk you through what makes each tool unique, testing results, and how to choose the best one for your team. AI in software testing refers to the use of technologies like machine learning (ML), natural language processing (NLP), and visual AI to automate and improve test creation, execution, and analysis. It helps identify bugs faster, reduce test maintenance, and boost test coverage across complex applications. By leveraging predictive analytics and regression testing automation, AI streamlines repetitive QA tasks, making testing smarter, faster, and more scalable, especially in agile and DevOps environments. Software teams are caught in an impossible bind: deliver faster without breaking anything. While development cycles have compressed from months to weeks—sometimes days—testing remains stubbornly…

Software teams are caught in an impossible bind: deliver faster without breaking anything. While development cycles have compressed from months to weeks—sometimes days—testing remains stubbornly manual, creating dangerous bottlenecks that force teams to choose between speed and quality. Yet enterprises can’t afford to ship broken software in today’s always-on economy. That’s why we’re excited to announce that OpenText™ has been named a Leader in the 2025 Gartner Magic Quadrant for AI-Augmented Software Testing Tools—recognition that we believe strengthens our drive to make intelligent, automated... In the report, Gartner defines AI-augmented software testing tools as “tools that provide fully integrated and orchestrated capabilities to enable continuous, self-optimizing and highly autonomous testing in the software development life cycle (SDLC) through... Gartner, Magic Quadrant for AI-Augmented Software Testing Tools, Joachim Herschmann, Sushant Singhal, Ross Power, C.A.

Swan, Published 6 October 2025 Fragmented toolchains and manual testing approaches simply can’t keep pace with modern demands. Development teams face Stop Building APIs the Hard Way: How AI Is Transforming API Delivery How to Orchestrate Testing with the SmartBear MCP Server By submitting this form, you agree to our Terms of Use and Privacy Policy

Check out our takeaways from the Gartner Report, where we think AI and testing are headed, and how we believe we're positioned to support your QA team. Gartner, Magic Quadrant for AI-Augmented Software Testing Tools, Joachim Herschmann, Sushant Singhal, Ross Power, C.A. Swan, 6 October 2025. Agentic Test Automation for Salesforce uses advanced, AI-driven technology to optimize and accelerate Salesforce testing. See how we’re pushing the boundaries of AI-driven performance testing with the latest NeoLoad capabilities. Read how Crédit Agricole minimized production incidents with Tricentis NeoLoad's DevOps performance engineering.

Explore how SAP users can manage new technologies, like AI agents and cloud migrations, while safeguarding the business. Recognized highest for “Ability to Execute”. Tricentis strengthens industry presence with new AI breakthroughs AI for all Types of Software Testing has become an integral part of the software development lifecycle, and with the integration of AI, it has grown into a more efficient and precise process. AI testing tools bring intelligent capabilities like visual recognition, autonomous test creation, and predictive analytics, allowing QA teams to focus on complex scenarios and ensuring higher accuracy. From automated test generation and self-healing tests to advanced bug detection and predictive analytics, AI testing tools can enhance productivity and simplify workflows in Software Testing.

Whether you’re working on web applications, mobile apps, or complex enterprise systems, having the right AI Software Testing Tools is critical to achieving strong and reliable testing. In this guide, we’ll explore the 15 best AI testing tools for test automation in the Software Testing Industry. AI Testing Tools are software solutions that leverage artificial intelligence (AI) and machine learning (ML) to automate and optimize the testing process for software applications. These tools enhance traditional test automation by using AI algorithms to identify patterns, detect bugs, and even predict potential failures in applications. Unlike conventional testing methods, AI testing tools adapt to changes in code, making them more efficient for dynamic and complex applications. For example, self-healing capabilities in AI testing tools automatically update test scripts when the application’s UI changes, reducing the need for manual intervention.

They can also generate test cases, analyze large datasets, and provide insights into test coverage, helping QA teams save time and improve accuracy. Now streamline software testing processes and QA Process, ensure better coverage, and reduce manual effort. Whether it’s load tests, Cross-browser testing, or API Tetsing, here are the Best AI testing tools that can help testers automate various stages of the testing lifecycle, including functional, performance, and security testing: UiPath Test Cloud helps enterprises validate speed, identify bottlenecks and eliminate repetitive workflows to drive greater productivity NEW YORK--(BUSINESS WIRE)-- UiPath (NYSE: PATH), a global leader in agentic automation, today announced its recognition as a Leader in the Gartner® Magic Quadrant™ for AI-Augmented Software Testing Tools. A complimentary copy of this research report is available here.

The addition of AI and agents to traditional software testing tools expands the reach, productivity, and capacity of testers, creating a quality assurance approach featuring AI-powered agents capable of acting as autonomous decision-makers to... Agents can intelligently interact with an application, learn its behavior, and dynamically adapt testing strategies to identify and address issues, leading to faster, more resilient, and efficient testing and a reduced manual maintenance burden. UiPath Test Cloud takes those capabilities further, making agentic testing available to quality assurance, engineering, and testing teams at every level throughout the organization, accelerating and scaling testing across every step of the software... UiPath Autopilot™ for Testers offers an out-of-the-box agent with a broad collection of built-in and customizable AI to accelerate the testing lifecycle, including agentic test design, agentic test automation, and agentic test management. And, for more advanced testing teams, UiPath Agent Builder in Studio is a toolkit for building custom AI agents for unique testing needs, giving teams flexibility to create exactly what they need, when they... “We see agentic testing as a business accelerator and the next evolution in QA, where AI-powered agents work alongside humans to independently analyze, generate, execute, and refine tests across the entire lifecycle,” said Gerd...

“We’re building on that vision with a large community of users and resources to help create, customize, and deploy AI agents using natural language prompts and integrated toolsets. Our UiPath Test Cloud lets testers accelerate and simplify their work, unlocking productivity at scale.” WATERLOO, Ontario, Oct. 15, 2025 /PRNewswire/ -- OpenText™ (NASDAQ/TSX: OTEX), a global leader in secure information management for AI, today announced it has been named a Leader in the 2025 Gartner(R) Magic Quadrant™ for AI-Augmented Software Testing... OpenText Core Software Delivery Platform (formerly known as ValueEdge) is a cloud-based value stream management and DevOps platform that includes comprehensive AI-powered functional, performance, and security testing capabilities. The AI-augmented testing capabilities found in OpenText Core Software Delivery Platform help development teams to overcome challenges such as low-test area coverage, high resource and time consumption, skill gaps, and more.

The OpenText solution allows teams to find and resolve defects quickly with a complete suite of testing tools that employ automation, AI, and cloud connectivity to reduce risk and deliver secure applications. "Thanks to rapidly evolving technology and increasing threats related to cybersecurity, compliance, performance, and overall quality, organizations must change the way they test and deliver software, or they put their business operations at risk,"... "AI-augmented software testing tools provide organizations with the ability to confidently and efficiently ensure their software and systems can meet their operational and security needs. We believe the recognition as a Leader in the Gartner Magic Quadrant is a testament to the strength, reliability, and flexibility of the OpenText Core Software Delivery Platform to enable enterprise development teams to... OpenText Core Software Delivery Platform is much more than a testing solution. It also boasts end-to-end software development capabilities and provides value stream management, AI-driven analytics and insights, and DevOps management and orchestration.

It can be deployed in cloud, on-premises, or hybrid configurations. Key capabilities include: For more information about OpenText software development capabilities, please visit OpenText Core Software Delivery Platform. To view the report, visit 2025 Gartner Magic Quadrant for AI-Augmented Software Testing Tools.

Best Ai Augmented Software Testing Tools Reviews 2025 Gartner

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