AI-Enabled Testing Tools Market is anticipated to expand at a compound annual growth rate (CAGR) XX% from 2021 to 2031

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AI-Enabled Testing Tools are testing tools that make use of artificial intelligence to help with the testing process. These tools can help with things like test case generation, test case selection, and test execution. They can also help with things like regression testing and test coverage analysis.

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Key Trends

There are four key trends in AI-enabled testing tools technology:

1. Increased accuracy and efficiency in test automation: AI-enabled testing tools are able to automate testing tasks more accurately and efficiently than traditional testing tools. This is because AI-enabled testing tools can learn from past test data and identify patterns that can be used to automate testing tasks.

2. Increased use of natural language processing: AI-enabled testing tools are able to understand natural language input, which allows for more natural and efficient communication between testers and test automation tools.

Key Drivers

The key drivers of AI-enabled testing tools market are as follows:

1. Increasing demand for quality assurance: With the increasing demand for quality assurance, there is a need for testing tools that can help ensure the quality of products and services. AI-enabled testing tools can help in this regard by providing accurate and timely testing results.

2. Rapid growth of digital transformation: The rapid growth of digital transformation is resulting in a need for testing tools that can help test digital products and services. AI-enabled testing tools can help in this regard by providing accurate and timely testing results.

Market Segments

By Solution

  • AI-based Tools
  • Services

By Technology

  • Machine Learning
  • Natural Language Processing
  • Computer Vision
  • Others

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Key Players

  • Sauce Labs Inc.
  • ReTest GmbH
  • Diffblue Ltd.
  • Functionize Inc.
  • testRigor
  • Applitools
  • Perforce Software
  • mabl Inc.
  • AccelQ

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