Overview and Scope
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.
Sizing and Forecast
The artificial intelligence (AI)-enabled testing market size has grown exponentially in recent years. It will grow from $0.58 billion in 2023 to $0.70 billion in 2024 at a compound annual growth rate (CAGR) of 21.7%. The growth in the historic period can be attributed to the demand for accelerated software development, the complexity of software systems, the adoption of agile and DevOps methodologies, the need for enhanced test coverage and accuracy, and the pressure to reduce 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 growth in the forecast period can be attributed to the emergence of AI-powered test analytics platforms, integration of AI with test management tools, expansion of AI capabilities in continuous testing pipelines, demand for AI-driven security testing solutions, a proliferation of AI-based testing in IoT and embedded systems. Major trends in the forecast period include the adoption of AI-driven test generation and execution, the rise 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 to edge computing environments.
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Segmentation & Regional Insights
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
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.
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Major Driver Impacting Market Growth
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.
Key Industry Players
Major companies operating in the artificial intelligence (AI) enabled testing market report 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.
The artificial intelligence (ai) enabled testing market report table of contents includes:
- Executive Summary
- Artificial Intelligence (AI) Enabled Testing Market Characteristics
- Artificial Intelligence (AI) Enabled Testing Market Trends And Strategies
- Artificial Intelligence (AI) Enabled Testing Market – Macro Economic Scenario
- Global Artificial Intelligence (AI) Enabled Testing Market Size and Growth
- Artificial Intelligence (AI) Enabled Testing Market Segmentation
- Artificial Intelligence (AI) Enabled Testing Market Regional And Country Analysis
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- Key Mergers And Acquisitions In The Artificial Intelligence (AI) Enabled Testing Market
- Artificial Intelligence (AI) Enabled Testing Market Future Outlook and Potential Analysis
- Appendix
List Of Tables:
Table 1: Global Historic Market Growth, 2018-2023, $ Billion
Table 2: Global Forecast Market Growth, 2023-2028F, 2033F, $ Billion
Table 3: Global Artificial Intelligence (AI) Enabled Testing Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
Table 4: Global Artificial Intelligence (AI) Enabled Testing Market, Segmentation By Deployment, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
Table 5: Global Artificial Intelligence (AI) Enabled Testing Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
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Table 76: Amazon.com Inc. Financial Performance
Table 77: Google LLC Financial Performance
Table 78: Microsoft Corporation Financial Performance
Table 79: Dell Technologies Inc. Financial Performance
Table 80: Siemens AG Financial Performance
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