Global Artificial Intelligence (AI) Enabled Testing Market Size Forecast 2024 - 2033

19 Dec, 2024

What Is The Definition Of The Global Artificial Intelligence (AI) Enabled Testing Market?

Artificial intelligence (AI)-enabled testing refers to the process of utilizing artificial intelligence algorithms and techniques to automate various aspects of the software testing process, including test case generation, execution, and result analysis, by enhancing efficiency, accuracy, and scalability in software testing endeavors. This testing empowers organizations to conduct more efficient, effective, and adaptive software testing, ultimately leading to higher software quality, faster time-to-market, and improved customer satisfaction.

Artificial Intelligence (AI) Enabled Testing Global Market Report 2024 provides data on the global artificial intelligence (ai) enabled testing market such as market size, growth forecasts, segments and geographies, competitive landscape including leading competitors’ revenues, profiles and market shares. The Artificial Intelligence (AI) Enabled Testing market report identifies opportunities and strategies based on market trends and leading competitors’ approaches.

How Is The Market Size And Growth Rate Of The Global Artificial Intelligence (AI) Enabled Testing Market Projected?

The artificial intelligence (AI)-enabled testing market has experienced exponential growth, increasing from $0.58 billion in 2023 to $0.70 billion in 2024, achieving a compound annual growth rate (CAGR) of 21.7%. This growth in the historic period is driven by accelerated software development needs, software system complexities, agile and DevOps methodology adoptions, enhanced test coverage demands, and cost-saving pressures. Looking ahead, the market is expected to grow to $1.56 billion by 2028, with a CAGR of 21.1%. The forecast period will see the emergence of AI-powered test analytics platforms, integration of AI with test management tools, expanded AI capabilities in continuous testing pipelines, demand for AI-driven security testing solutions, and increased AI-based testing in IoT and embedded systems. Major trends include the rise of AI-driven test generation and execution, growth in AI-based autonomous testing agents, advancements in AI-enabled predictive testing models, integration of AI with blockchain testing frameworks, and expansion of AI-driven testing into edge computing environments.

What Are The Primary Growth Drivers In The Artificial Intelligence (AI) Enabled Testing Market?

The rise of cloud computing is expected to propel artificial intelligence (AI)-enabled testing market going forward. Cloud computing refers to delivering computing services, including servers, storage, databases, networking, software, and analytics, over the Internet to offer faster innovation, flexible resources, and economies of scale. The rise of cloud computing is due to its ability to provide scalability, cost-effectiveness, and accessibility, enabling businesses to streamline operations, enhance flexibility, and leverage advanced technologies without the need for extensive infrastructure investments. AI-powered testing generates actionable insights from testing data, helping stakeholders make informed decisions about the quality and readiness of the software for deployment. For instance, in December 2023, according to Eurostat, a Luxembourg-based governmental organization of the European Union operating as the statistical office, in 2022, the adoption rate of cloud computing services among medium-sized enterprises increased to 59%, marking a rise from 53% in 2021. Therefore, the rise of cloud computing is driving the growth of the artificial intelligence (AI)-enabled testing market. The market size for AI-enabled testing is projected to reach $E billion in 2023, $F billion in 2024, and $G billion by 2028.

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What Is The Segmentation Of The Global Artificial Intelligence (AI) Enabled Testing Market?

The artificial intelligence (ai) enabled testing market covered in this report is segmented –
1) By Component: Software, Service
2) By Deployment: On-Premises, Cloud
3) By Technology: Machine Learning And Pattern Recognition, Natural Language Processing (NLP), Computer Vision And Image Processing
4) By Application: Test Automation, Infrastructure Optimization, Other Applications
5) By End User Industry: Healthcare, Information Technology And Telecommunication, Energy And Utilities, Banking, Financial Services, And Insurance (BFSI), Government, Other End User Industries

What Emerging Trends Are Shaping The Artificial Intelligence (AI) Enabled Testing Market Landscape?

Major companies in the artificial intelligence (AI)-enabled testing market are developing advanced testing solutions, such as application security testing solutions, to gain a competitive edge. Application security testing solutions help organizations proactively identify and remediate security vulnerabilities in their software applications, reducing the risk of security breaches and protecting sensitive data. For instance, in April 2024, Invicti, a US-based web application security company, launched an AI-enabled Predictive Risk Scoring capability. This feature assigns predicted risk levels to applications, helping organizations gain a strategic view of security risks. This new capability remaps the application security testing process to profile and calculate a risk score on all discovered web applications before scanning begins, requiring no scanning resources or customer data to assess the risk score.

Which Region Has The Fastest Expansion In The Artificial Intelligence (AI) Enabled Testing Market?

North America was the largest region in the artificial intelligence (AI)-enabled testing in 2023. Asia Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the artificial intelligence (AI) enabled testing market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.