Leapwork named a Representative Vendor in the 2022 Gartner® Market Guide for AI-Augmented Software Testing Tools

Leapwork, an end-to-end no-code test automation solution for enterprises, today announced that it has been recognized in the 2022 Gartner® Market Guide for AI-Augmented Software Testing Tools.

Gartner predicts: "By 2027, 80% of enterprises will have integrated artificial intelligence (AI)-augmented testing tools into their software engineering toolchain, which is a significant increase from 10% in 2022."

Key findings from the report include:

• "AI augmentation is the next step in the evolution of software testing. Itis also a crucial element for a strategy to reduce significant business continuity risks when critical applications and services are severely compromised or stop working altogether."
• "Artificial-intelligence-augmented software-testing tools use algorithmic approaches toenhance theproductivity of testers.AI can dramatically increase theefficacyof test automation tools, enabling software engineering teams to improve software quality and reduce testing cycle times."
• "Software engineering leaders face a shortage of experienced testers, especially people with the skills required toprogrammaticallycreate tests."

Gartner recommends that software engineering leaders responsible for software quality and testing should:

• "Maximize the value of AI by identifying areas of software testing in their organizations,where AI will be most applicable and impactful, such as in visualtesting."
• "Use this research to evaluate vendors that offer AI-augmented, software-testing toolsby requesting evidence for how they can improve efficacy in each specific area of software testing."
• "Modernize their teams' testing capabilities by establishing a community of practice to share information and budgeting for training."

Gartner members can access the full report here.

Gartner, "Market Guide for AI-Augmented Software Testing Tools," by Joachim Herschmann, Thomas Murphy, Jim Scheibmeir, Frank O'Connor, Andy Wang, published 28 November 2022.

Gartner Disclaimer

GARTNER is the registered trademark and service mark of Gartner Inc., and/or its affiliates in the U.S. and/or internationally and has been used herein with permission. All rights reserved. Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner's research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.