Artificial Intelligence (AI) Enabled Testing Global Market Report 2024

The artificial intelligence (AI)-enabled testing market size has grown exponentially in recent years. It will grow from $0.58 billion in 2023 to $0.7 billion in 2024 at a compound annual growth rate (CAGR) of 21.7%. The growth witnessed in the historical period can be attributed to several factors, including the demand for accelerated software development, the increasing complexity of software systems, the adoption of agile and DevOps methodologies, the necessity for enhanced test coverage and accuracy, and the pressure to minimize testing costs.

The artificial intelligence (AI)-enabled testing market size is expected to see exponential growth in the next few years. It will grow to $1.56 billion in 2028 at a compound annual growth rate (CAGR) of 21.1%. The projected growth in the upcoming period can be attributed to various factors, including the emergence of AI-powered test analytics platforms, the integration of AI with test management tools, the expansion of AI capabilities within continuous testing pipelines, the increasing demand for AI-driven security testing solutions, and the proliferation of AI-based testing in IoT and embedded systems. Major trends anticipated in the forecast period include the adoption of AI-driven test generation and execution, the ascent of AI-based autonomous testing agents, the growth of AI-enabled predictive testing models, the integration of AI with blockchain testing frameworks, and the expansion of AI-driven testing into edge computing environments.

The advancement of cloud computing is poised to drive the artificial intelligence (AI)-enabled testing market forward. Cloud computing involves delivering a range of computing services over the Internet, including servers, storage, databases, networking, software, and analytics. This approach enables faster innovation, flexible resource allocation, and economies of scale. The surge in cloud computing is attributed to its scalability, cost-efficiency, and accessibility, allowing businesses to streamline operations, increase flexibility, and leverage advanced technologies without significant infrastructure investments. AI-powered testing utilizes testing data to generate actionable insights, assisting stakeholders in making informed decisions regarding software quality and deployment readiness. For example, Eurostat, a Luxembourg-based governmental organization of the European Union serving as the statistical office, reported in December 2023 that the adoption rate of cloud computing services among medium-sized enterprises rose to 59% in 2022, up from 53% in 2021. Consequently, the growth of cloud computing is propelling the artificial intelligence (AI)-enabled testing market.

Key players in the artificial intelligence (AI)-enabled testing market are focusing on developing advanced testing solutions, such as application security testing solutions, to maintain a competitive advantage. Application security testing solutions assist organizations in proactively identifying and addressing security vulnerabilities in their software applications, mitigating the risk of security breaches and safeguarding sensitive data from unauthorized access or exploitation. For instance, in April 2024, Invicti, a US-based web application security company, introduced an AI-enabled Predictive Risk Scoring feature. This functionality assigns predicted risk levels to applications, allowing organizations to gain strategic insights into security risks. The new capability streamlines the application security testing process by profiling and calculating a risk score for all detected web applications before scanning commences, eliminating the need for scanning resources or customer data to assess risk scores.

In February 2022, Tricentis GmbH, a US-based software testing company, acquired Testim Inc. for an undisclosed sum. Through this acquisition, Tricentis aims to expand software test automation in the enterprise and simplify test automation processes, enabling organizations to create end-to-end tests quickly and effortlessly. Testim Inc. is a US-based company specializing in AI-powered test automation solutions for web applications.

Major companies operating in the artificial intelligence (AI) enabled testing market are Amazon.com Inc., Google LLC, Microsoft Corporation, Dell Technologies Inc., Siemens AG, International Business Machines Corporation (IBM), Cisco Systems Inc., Oracle Corporation, Broadcom Inc., SAP SE, Hewlett Packard Enterprise Company, Salesforce.com Inc., Adobe Inc., VMware Inc., ServiceNow Inc., Autodesk Inc., Red Hat Inc., Twilio Inc., Citrix Systems Inc., Atlassian Corporation Plc, RingCentral Inc., GitHub Inc., Slack Technologies Inc., Sonatype Inc., CA Technologies Inc.

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. The countries covered in the artificial intelligence (AI) enabled testing market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

Artificial intelligence (AI)-enabled testing involves leveraging AI algorithms and techniques to automate diverse aspects of the software testing process, encompassing test case generation, execution, and result analysis. By enhancing efficiency, accuracy, and scalability in software testing endeavors, this approach enables organizations to conduct more adaptive and effective testing, ultimately resulting in higher software quality, accelerated time-to-market, and enhanced customer satisfaction.

The primary components of AI-enabled testing comprise both software and services. Software encompasses a set of instructions and data that enable computers or other devices to perform specific tasks or functions. These solutions are deployed through various means, including on-premises and cloud-based platforms, leveraging technologies such as machine learning, pattern recognition, natural language processing (NLP), computer vision, and image processing. They find application in diverse sectors such as healthcare, information technology, telecommunications, energy and utilities, banking, financial services, insurance (BFSI), government, and others, facilitating test automation, infrastructure optimization, and other functionalities.

The artificial intelligence (AI)-enabled testing market research report is one of a series of new reports that provides artificial intelligence (AI)-enabled testing market statistics, including artificial intelligence (AI)-enabled testing industry global market size, regional shares, competitors with artificial intelligence (AI)-enabled testing market share, detailed artificial intelligence (AI)-enabled testing market segments, market trends and opportunities, and any further data you may need to thrive in the artificial intelligence (AI)-enabled testing industry. This artificial intelligence (AI)-enabled testing market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

The artificial intelligence (AI)-enabled testing market includes revenues earned by entities by providing services such as defect prediction, intelligent test case prioritization, anomaly detection, predictive maintenance, performance optimization, and root cause analysis. 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.


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