Overview:
Generative AI in Testing is a subfield of artificial intelligence (AI) designed to automate the generation of test cases, data, and scenarios for software testing purposes. Leveraging deep learning algorithms as inputs, this technology could revolutionize software testing procedures by decreasing human intervention while increasing test coverage and defect detection rates.
Generative AI in Testing Industry size is expected to be worth around USD 150.4 Mn by 2032 from USD 32 Mn in 2022, growing at a CAGR of 17.2% during the forecast period from 2023 to 2032.
Market Key Players
- Applitools
- Functionize
- Mabl
- Diffblue
- AdaLogica
- Appvance
- ai
- Other Key Players
Future Developments of Generative AI in Testing:
The future for Generative AI in Testing appears promising. Research and development activities should continue to hone AI models' adaptability for various testing situations, making them even more practical toolsets that span security, performance, and usability testing among others.
Key Market Segments
Based on Testing Types
- Functional Testing
- Performance Testing
- Security Testing
- User Interface Testing
- Other Testing Types
Based on Industry
- IT and Telecommunications
- Finance
- Retail
- Automotive
- Healthcare
- Other Industries
Based on the Deployment Mode
- On-premises
- Cloud-based
Based on Applications
- Test Case Generation
- Bug Detection and Diagnosis
- Test Data Generation
- Test Environment Simulation
- Intelligent Test Prioritization
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