PUBLISHER: The Business Research Company | PRODUCT CODE: 1888487
PUBLISHER: The Business Research Company | PRODUCT CODE: 1888487
Test coverage analytics artificial intelligence (AI) refers to the intelligent, data-driven evaluation of software testing effectiveness using artificial intelligence and machine learning. It goes beyond traditional code metrics to provide predictive insights that help optimize testing processes and accelerate release cycles while maintaining software quality. This technology identifies high-risk untested areas, prioritizes critical test cases, minimizes feedback time in continuous integration and continuous delivery environments, enhances test suite efficiency, and supports a reliable and robust software delivery process.
The main components of test coverage analytics artificial intelligence (AI) are software and services. Software includes AI-powered tools and applications that analyze, measure, and optimize the extent of code or functional coverage within testing workflows to enhance software performance and reliability. These solutions are deployed through on-premises and cloud models and are utilized by small and medium enterprises as well as large organizations. Key applications include web applications, mobile applications, embedded systems, cloud-based applications, and others, with primary end users encompassing banking, financial services and insurance, healthcare, information technology and telecommunications, retail and e-commerce, manufacturing, and other industries.
Note that the outlook for this market is being affected by rapid changes in trade relations and tariffs globally. The report will be updated prior to delivery to reflect the latest status, including revised forecasts and quantified impact analysis. The report's Recommendations and Conclusions sections will be updated to give strategies for entities dealing with the fast-moving international environment.
The rapid escalation of U.S. tariffs and the resulting trade tensions in spring 2025 are significantly impacting the information technology sector, particularly in hardware manufacturing, data infrastructure, and software deployment. Higher duties on imported semiconductors, circuit boards, and networking equipment have raised production and operational costs for tech firms, cloud service providers, and data centers. Companies relying on globally sourced components for laptops, servers, and consumer electronics are facing longer lead times and increased pricing pressures. In parallel, tariffs on specialized software tools and retaliatory measures from key international markets have disrupted global IT supply chains and reduced overseas demand for U.S.-developed technologies. To navigate these challenges, the sector is accelerating investments in domestic chip fabrication, diversifying supplier bases, and adopting AI-driven automation to enhance operational resilience and cost efficiency.
The test coverage analytics artificial intelligence (AI) market research report is one of a series of new reports from The Business Research Company that provides test coverage analytics artificial intelligence (AI) market statistics, including the test coverage analytics artificial intelligence (AI) industry global market size, regional shares, competitors with the test coverage analytics artificial intelligence (AI) market share, detailed test coverage analytics artificial intelligence (AI) market segments, market trends, and opportunities, and any further data you may need to thrive in the test coverage analytics artificial intelligence (AI) industry. This test coverage analytics artificial intelligence (AI) market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenarios of the industry.
The test coverage analytics artificial intelligence (AI) market size has grown exponentially in recent years. It will grow from $1.34 billion in 2024 to $1.67 billion in 2025 at a compound annual growth rate (CAGR) of 24.6%. The growth in the historic period can be attributed to the rising adoption of DevOps and agile methodologies, increasing complexity of software applications, growing need for faster release cycles, heightened focus on software quality and cost optimization, and the expanding volume of data generated from development pipelines.
The test coverage analytics artificial intelligence (AI) market size is expected to see exponential growth in the next few years. It will grow to $3.97 billion in 2029 at a compound annual growth rate (CAGR) of 24.2%. The growth in the forecast period can be attributed to the rising integration of artificial intelligence and machine learning in software development, increasing adoption of predictive analytics, growing emphasis on shift-left testing practices, rising demand for efficient DevOps processes, and a stronger focus on digital transformation and software reliability. Major trends in the forecast period include advancements in generative AI for automated test creation, development of predictive quality engineering models, innovations in risk-based test prioritization, integration of analytics into developer integrated development environments (IDEs), and the convergence of testing and production monitoring data for continuous quality improvement.
The increasing adoption of cloud-based applications is expected to drive the growth of the test coverage analytics artificial intelligence (AI) market in the coming years. Cloud-based applications refer to software programs that operate on remote servers and are accessed through the internet, allowing users to utilize them without the need for local installation or maintenance. The adoption of these applications is rising due to their scalability, cost-effectiveness, remote accessibility, and ability to support real-time collaboration and data management. Test coverage analytics AI in cloud-based applications is used to automatically analyze, monitor, and optimize software testing processes to ensure comprehensive coverage, improved quality, and faster release cycles. For instance, in March 2024, according to Flexera, a US-based computer software company, multi-cloud usage slightly increased from 87% in 2023 to 89% in 2024. Therefore, the growing adoption of cloud-based applications is fueling the growth of the test coverage analytics artificial intelligence (AI) market.
Major companies operating in the test coverage analytics artificial intelligence (AI) market are focusing on developing innovative solutions using generative AI to enhance predictive test selection, automate test case generation, and provide development teams with intelligent insights into code quality risks. Generative AI refers to advanced machine learning models that combine natural language processing and code analysis to autonomously create and optimize test suites while predicting high-risk areas in applications that require validation. For instance, in May 2025, Parasoft, a US-based software testing company, introduced its agentic AI approach to application programming interface (API) test generation. This technology employs autonomous AI agents to create and maintain complex API test scenarios, addressing key challenges in achieving comprehensive code coverage for modern applications. The innovation represents Parasoft's expansion into next-generation AI-powered software quality solutions, aiming to redefine testing efficiency while reducing manual effort for API test creation and updates by up to 90% compared to traditional methods.
In July 2024, Tricentis, a US-based continuous testing platform provider, acquired SeaLights for an undisclosed amount. This acquisition strengthens Tricentis' AI-powered quality platform by integrating predictive analytics and test gap identification to help organizations prioritize testing in areas of highest business risk. SeaLights Technologies Ltd. is an Israel-based test analytics platform that utilizes machine learning to provide visibility into quality risks across the entire DevOps toolchain.
Major players in the test coverage analytics artificial intelligence (AI) market are Keysight Technologies Inc., Perforce Software Inc., SonarSource SA, Tricentis GmbH, Harness Inc., SmartBear Software Inc., CloudBees Inc., Parasoft Corporation, Katalon Inc., Sentry Inc., Testsigma Software Technologies Private Limited, TestGrid Inc., Functionize Inc., QA Wolf Inc., Autify Inc., mabl Inc., Diffblue Ltd, PractiTest Ltd., Virtuoso QA Ltd., and Code Intelligence GmbH.
North America was the largest region in the test coverage analytics artificial intelligence (AI) market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in test coverage analytics artificial intelligence (AI) report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa.
The countries covered in the test coverage analytics artificial intelligence (AI) market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.
The test coverage analytics artificial intelligence (AI) market consists of revenues earned by entities by providing services such as intelligent test selection, risk-based analysis, flaky test detection, test optimization, and predictive quality insights. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included.
The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).
The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.
Test Coverage Analytics Artificial Intelligence (AI) Global Market Report 2025 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.
This report focuses on test coverage analytics artificial intelligence (ai) market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.
Where is the largest and fastest growing market for test coverage analytics artificial intelligence (ai) ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The test coverage analytics artificial intelligence (ai) market global report from the Business Research Company answers all these questions and many more.
The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.
The forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.