AI-enabled Testing Market Size To Reach $1.63 Billion By 2030

AI-enabled Testing Market Growth & Trends

The global AI-enabled testing market size is anticipated to reach USD 1.63 billion by 2030, registering a CAGR of 18.4% from 2023 to 2030, according to a new report by Grand View Research, Inc. Emerging Artificial Intelligence (AI) is transforming the technological landscape. Its application in numerous facets of software and tools development is fueling market growth. Moreover, Significant innovations and launches in computer vision & image processing are anticipated to drive market growth. For instance, Applitools's Visual AI for software testing provides accuracy using trained AI and Machine Learning (ML) algorithms. Similarly, in April 2023, A no-code, generative AI-driven mobile app testing solution SofySense was introduced by the software testing platform Sofy.

By integrating GPT-integrated, intelligent software-testing AI technology, the service improves Sofy's current platform and aids in quality assurance.Major players are focusing on innovations and the development of AI-enabled testing tools to stay ahead in the market. For instance, in October 2022, Keysight Technologies unveiled new automated AI testing to enhance 5G devices. The business launched this testing tool to increase smartphone users' interaction with built-in applications through automation and artificial intelligence. Similarly, in February 2021, Sauce Labs Inc. acquired AutonomIQ; This acquisition enhances scriptless test automation to an expanding capability set that already includes visual testing, API testing, front-end performance testing, and functional UI testing to broaden further and deepen the Sauce Labs portfolio.

The self-healing test is likely to fuel the AI-enabled testing tools market growth. The components of an application are defined by distinct identifiers in traditional test automation systems. These elements may also alter whenever the application is upgraded or modified. Since items have fixed definitions, previously successful tests will now fail and produce false negative results. AI algorithms are used in self-healing tests to detect unanticipated mistakes caused by dynamic properties automatically and either suggest a better solution or automatically update the script. This testing avoids test failures and saves QA staff time from having to track down and resolve any problems.

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AI-enabled Testing Market Report Highlights

• The software segment led the market in 2022 accounting for over 77% share of the global revenue. The emergence of AI applications in numerous facets of software development will fuel market growth. Testing application in software focuses on making the software development life cycle easier. AI algorithms analyze vast amounts of data and identify patterns, allowing for improved test coverage

• The cloud segment is estimated to grow at the highest CAGR over the forecast period. This growth is led by cloud-based solutions offering unlimited scalability and resources. Organizations efficiently deliver and scale up or down their AI-enabled testing infrastructure based on the demand

• The test automation segment dominated the market with a share of over 58% in 2022. The growth is led by AI-testing tools, which enhance test automation by leveraging AI algorithms and techniques. Combined with cloud computing instances, it can bring even more scalability and flexibility to the testing process

• The NLP segment is witnessing rapid growth owing to the growing acceptance of novel technology advancements. Increased customer demands for cloud-based technology and advancements in communication infrastructure are accelerating NLP growth

• IT & telecommunication led the market in 2022 with a share of over 18%. The industry has been significantly impacted by AI testing, bringing numerous benefits and advancements to various aspects of telecommunications. AI testing techniques are automating the testing process, enabling faster and more efficient testing of telecommunication networks, services, and systems

• Asia Pacific is anticipated to register the highest CAGR over the forecast period. India, China, Japan, and other countries of Asia Pacific are innovating and launching new products and platforms. For instance, in June 2022, Singapore introduced the first AIgovernance testing framework and toolbox to assist AI developers in objectively and independently evaluating their systems

AI-enabled Testing Market Segmentation

Grand View Research has segmented the global AI-enabled testing market based on component, deployment, technology, application, and end-use industry and region:

AI-enabled Testing Component Outlook (Revenue, USD Million, 2017 - 2030)

• Solution

• Services

  • Professional Services

  • Managed Services

AI-enabled Testing Deployment Outlook (Revenue, USD Million, 2017 - 2030)

• Cloud

• On-premises

AI-enabled Testing Technology Outlook (Revenue, USD Million, 2017 - 2030)

• Machine Learning and Pattern Recognition

• Natural Language Processing (NLP)

• Computer Vision and Image Processing

AI-enabled Testing Application Outlook (Revenue, USD Million, 2017 - 2030)

• Test Automation

• Infrastructure Optimization

• Others

AI-enabled Testing End-Use Industry Outlook (Revenue, USD Million, 2017 - 2030)

• Healthcare

• IT & Telecommunication

• Energy & Utilities

• BFSI

• Government

• Others

AI-enabled Testing Regional Outlook (Revenue, USD Million, 2017 - 2030)

• North America

  • U.S.

  • Canada

• Europe

  • UK

  • Germany

  • France

• Asia Pacific

  • China

  • India

  • Japan

  • South Korea

  • Australia

• Latin America

  • Brazil

  • Mexico

• Middle East & Africa

  • Kingdom of Saudi Arabia (KSA)

  • UAE

  • South Africa

List of Key Players of AI-enabled Testing Market

• Sauce Labs Inc.

• ReTest GmbH

• D2L Corp.

• Functionize Inc.

• Diffblue Ltd.

• Applitools

• Capgemini SE

• testRigor

• Micro Focus International Plc

• Tricentis