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
Regional Analysis:
Adoption of Generative AI in Testing can vary widely across regions. North America was an early adopter, with many Silicon Valley firms using AI-driven testing in their software development processes. Europe saw significant progress with regards to compliance and quality standards; Asia's emerging tech hubs including India and China increasingly adopted Generative AI Testing technologies as support systems to grow their software industries.
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
Recent Trends:
Generative AI has recently seen advancements in its use for testing through advances in natural language processing (NLP) techniques that enable test case generation from textual requirements and documentation. Furthermore, Generative AI integration into continuous integration/delivery pipelines has become more widespread. This allows real-time testing/feedback loops which ultimately shorten time-to-market for software products.
