The market for AI-enabled testing tools is anticipated to reach US$ 426.1 million in worth in 2023 and US$ 2,030.75 million by 2033. The market is anticipated to see a CAGR of 16.9% over the forecast period, according to the FMI analysis.
The market size is being driven by the rising demand for operational networks and services. Furthermore, by 2033 it is predicted that the rapidly expanding telecommunications sector would accelerate market expansion. The preference of consumers for effective and accurate software testing is accelerating market expansion. To prevent operating despite flaws, manufacturers develop AI-enabled testing solutions, expanding the market.
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The increasing Internet of Things, advanced technologies, and Artificial Intelligence propel the market size. IT networking companies are adopting AI-enabled testing tools for managing and monitoring networks, which consequently surges market growth. These testing tools focus on updating fast, quick results and testing applications in the environment that contribute toward propelling the market share. Government initiatives, new market entrances, and growing deep market analysis significantly boost the market size.
Technical Glitches Restrain the Global Market
Artificial Intelligence is an advanced technology progressively adopted in the telecommunication sector, and it plays a crucial role in integrating system safety and functionality in innovative technologies. The telecommunication industry has increased the adoption of AI-enabled testing tools for its maintenance and operating system.
The market has a few restraining factors that may cause a decline in global market growth. Increasing technical glitches and a lack of technicians and experts may restrain the market growth.
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Key Takeaways:
- The AI-enabled testing tools market is expected to have a valuation of US$ 2,030.75 million by 2033.
- With a CAGR of 16.9%, the global market is increasing during the forecast period.
- The market in the United States is anticipated to capture a maximum share through 2033.
- In the historical period, the market secured a valuation of US$ 195.18 million between 2018 and 2022.
The Role of Key Players in the AI-enabled Testing Tools Market
The prominent players have a crucial role in the global market by capturing maximum output and investing a huge amount in research and development activities. In addition, these key players focus on innovating better quality products and advanced tools as per consumers’ requirements.
The market players launched unique products by adopting various marketing methodologies such as collaborations, mergers, partnerships, product launches, and acquisitions.
Other Prominent Players in the AI-enabled Testing Tools Market are:
- Sauce Labs Inc.
- ReTest GmbH
- Diffblue Ltd.
- Functionize Inc
- TestRigor
- Applitools
- Perforce Software
- mabl Inc.
- IBM Corporation
- Capgemini SE
- Micro Focus International Plc
- Tricentis
Recent Developments in the Global AI-enabled Testing Tools Market:
- In October 2022, SmartBear partnered with a China-based company DragonSoft. This strategic innovation took place to improve software quality and innovate products.
- In October 2022, Keysight announced its newly launched automated AI testing for 5G smartphones. The motto behind this strategy is to engage many smartphone users and applications through Artificial Intelligence.
- In October 2022, Micro Focus launched its new modernization solution technology tool to integrate with Google cloud. It helps speed up and automate in Google cloud and has low risks.
AI-enabled Testing Tools Market by Category
By Solution:
AI-based Tools
- Data Wrangling and Pre-processing
- Data Visualization
- Feature Selection and Reduction
- Others
Services
- Professional Services
- Managed Services
By Technology:
- Machine Learning and Pattern Recognition
- Natural Language Processing (NLP)
- Computer Vision and Image Processing
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
By Region:
- North America
- Latin America
- Europe
- South Asia & Pacific
- East Asia
- The Middle East & Africa (MEA)
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