According to a new report, published by KBV research, The Global AI-enabled Testing Market size is expected to reach $1.4 billion by 2030, rising at a market growth of 17.9% CAGR during the forecast period.
The Services segment would witness a CAGR of 19.1% during (2023 - 2030). The rise of the segment can be attributed to managed and professional services' substantial advancement. AI-enabled testing systems frequently need substantial computational infrastructure and resources to support large-scale testing and complex algorithms. To assist AI testing projects, managed services companies like Testlio, Capgemini, QA Mentor, and others provide the necessary infrastructure, like dedicated environments or cloud-based platforms.
The Machine Learning & Pattern Recognition segment generated the maximum revenue in the Global AI-enabled Testing Market by Technology in 2022; thereby achieving a market value of $669 million by 2030. These innovative options for communication service providers (CSPs) enable the development of Self-Optimizing Networks (SON), which enable operators to automatically strengthen network quality by analyzing traffic statistics according to time zone and location. This is made possible by AI-enabled testing tools incorporated with pattern recognition technologies and machine learning.
The Infrastructure Optimization segment would register a CAGR of 18.1% during (2023 - 2030). Utilizing AI approaches helps organizations increase the effectiveness, scalability, and cost-effectiveness of their testing infrastructure. The rapid development of cloud infrastructure has made it possible for IT infrastructure to be adaptable, intangible, and on-demand. Based on the system analysis being tested, AI algorithms automatically create test cases, minimizing the manual work necessary while ensuring thorough test coverage.
The On-premises segment acquired maximum revenue in the Global AI-enabled Testing Market by Deployment in 2022 thereby, achieving a market value of $916 million by 2030. Infrastructure support for AI-enabled testing is needed in on-premises setups. This entails putting servers, networking capabilities, and storage in place to manage the computational demands of AI algorithms and models. On-premises infrastructure gathers, manages, and stores the pertinent data needed for testing with AI.
The Energy & Utilities segment is showcasing a CAGR of 18.3% during (2023 - 2030). With the advent of decentralization, decarbonization, and new technologies, the energy sector is undergoing significant transformation. Utility firms, independent power producers (IPPs), as well as other energy businesses are looking for efficient ways to control the mismatch between supply and demand brought on by the increased usage of erratic renewable energy sources (RES) for power generation.
The North America region dominated the Global AI-enabled Testing Market by Region in 2022 and would continue to be a dominant market till 2030; thereby, achieving a market value of $545 million by 2030. The Europe market is poised to grow at a CAGR of 17.4% during (2023 - 2030). Additionally, The Asia Pacific market would witness a CAGR of 18.8% during (2023 - 2030).
Full Report: https://www.kbvresearch.com/ai-enabled-testing-market/
The market research report has exhaustive quantitative insights providing a clear picture of the market potential in various segments across the globe with country wise analysis in each discussed region. The key impacting factors of the market have been discussed in the report with the elaborated company profiles of Sauce Labs Inc., Retest (UBS Hainer GmbH), Functionize, Inc, Diffblue Ltd., Applitools (Thoma Bravo), Capgemini SE, TestRigor, Micro Focus International PLC (Open Text Corporation), Tricentis and IBM Corporation
By Component
By Technology
By Application
By Deployment
By End User
By Geography
Companies Profiled
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