The AI-enabled testing tools market refers to the growing demand for artificial intelligence (AI) technologies in the software testing and quality assurance process. It includes various solutions such as AI-powered test automation, AI-powered performance testing, AI-powered security testing, and others.
The market is expected to grow significantly in the coming years due to increasing demand for faster, more efficient, and more accurate software testing, growing adoption of Agile and DevOps methodologies, and increasing complexity of software systems. AI-enabled testing tools can help improve testing speed and accuracy, reduce manual efforts, and provide better insights into software quality, thereby driving growth in the market.
The market for AI-enabled testing tools is anticipated to grow spectacularly between 2022 and 2030, with a forecasted market value of about US$364.5 Mn in 2022. In 2021, the market share of AI-enabled testing products in the automation testing industry was 1.5%.
The market for AI-enabled testing tools has seen significant expansion in recent years as a result of the advantages it provides. These tools assist in broadening the scope of the tests, which enhances the overall quality of the product, improves accuracy, benefits both developers and testers, and broadens the test coverage.
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Key market players are capitalizing on increasing demand for machine learning (ML) based visual testing and verification technologies. These technologies are capable to spot differences in the user interface (UI) which manual testing will most likely overlook.
AI-enabled testing tool manufacturers are developing innovative solutions that help end users by autonomously identifying visual bugs in the UI of software solutions.
Applitools Eyes is driven by Visual AI, which is the sole AI-powered computer vision that mimics the human brain and eyes to swiftly detect visual and functional regressions. Testing infused with Visual AI is developed 5.8X swifter, function 3.8 more stable, and spot 45% more bugs compared to conventional functional tests.
What Challenges Do Suppliers of AI-Enabled Testing Tools Face?
“Technical Challenges to Restrict Market Players’ Progress”
It is crucial to make sure that systems linked with cutting-edge technologies are functional, secure, and resilient as AI continues to permeate the telecom business. Testing of the operational components of AI-enabled maintenance in the telecom sector is also required for this.
However, testing and maintaining AI-powered products has not seen any appreciable advancements. The effectiveness of testing using AI is being hampered by the failure to meet these operational requirements.
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AI-Enabled Testing Tools Industry Survey
AI-Enabled Testing Tools Market by Solution:
- AI-based Tools
- Data Wrangling and Pre-processing
- Data Visualization
- Feature Selection and Reduction
- Professional Services
- Managed Services
AI-Enabled Testing Tools Market by Technology:
- Machine Learning and Pattern Recognition
- Natural Language Processing (NLP)
- Computer Vision and Image Processing
AI-Enabled Testing Tools Market by Application:
- Agility and Coverage
- Test and Maintenance Case Generation
- Test and Maintenance Optimization
- Quality and User Experience (UX)
- Coverage and Risk Analytics
- Defect Prediction and Prevention
- Efficiency and Time-to-Market
- Test Automation
- Infrastructure Optimization
- Data Analytics
AI-Enabled Testing Tools Market by Region:
- North America AI-Enabled Testing Tools Market
- Latin America AI-Enabled Testing Tools Market
- Europe AI-Enabled Testing Tools Market
- East Asia AI-Enabled Testing Tools Market
- South Asia & Pacific AI-Enabled Testing Tools Market
- Middle East & Africa (MEA) AI-Enabled Testing Tools Market
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