AI-enabled Testing Market by Deployment (Cloud and On-premise), by Application (Web-based and Mobile-based), by Technology (Machine Learning, NLP (Natural Language Processing), by Industry (IT & Telecom, BFSI, Healthcare, Energy & Utilities, and Others), by IT & Telecom BFSI Healthcare Energy & Utilities Others (North America), by North America (U.S., Canada, Mexico), by Europe (U.K., Germany, France, Italy, Spain, Russia, Benelux, Nordics, Rest of Europe), by Asia Pacific (China, Japan, India, South Korea, ASEAN, Oceania, Rest of the Asia Pacific), by Middle East & Africa (Turkey, Israel, GCC, North Africa, South Africa, Rest of the Middle East & Africa), by South America (Brazil, Argentina, Rest of South America) Forecast 2024-2032
The AI-enabled Testing Marketsize was valued at USD 643.5 USD Million in 2023 and is projected to reach USD 2401.59 USD Million by 2032, exhibiting a CAGR of 20.7 % during the forecast period. The AI-enabled testing market, in which artificial intelligence is being incorporated into software testing processes for increased efficiency and accuracy, is emerging. It uses machine learning algorithms for the generation of test cases, defect detection, and predictive analytics in the fields of IT, healthcare, and finance. The recent trends for instance cover the method of adopting machine learning for intelligent test automation and integrating this with DevOps for continuous testing. Major parts contain AI algorithms, testing frameworks, and analytics tools based on the special needs of testing. The market strives to accommodate the demands of delivery speed and software quality by developing new testing techniques.
Deployment:
Application:
Technology:
Industry:
The report provides an extensive analysis of the AI-enabled testing market, including:
The report covers regional insights, including:
The report highlights recent mergers and acquisitions in the AI-enabled testing market.
The report discusses regulatory frameworks and their impact on the market.
The report provides a patent analysis of the AI-enabled testing industry.
The report concludes with an analyst comment providing insights and recommendations for market participants.
Aspects | Details |
---|---|
Study Period | 2018-2032 |
Base Year | 2023 |
Estimated Year | 2024 |
Forecast Period | 2024-2032 |
Historical Period | 2018-2023 |
Growth Rate | CAGR of 20.7% from 2018-2032 |
Segmentation |
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