PUBLISHER: Fortune Business Insights Pvt. Ltd. | PRODUCT CODE: 1954856
PUBLISHER: Fortune Business Insights Pvt. Ltd. | PRODUCT CODE: 1954856
The global AI-enabled testing market is witnessing significant growth due to increasing adoption of artificial intelligence, machine learning, and related technologies in software quality assurance. AI-enabled testing automates test case creation, execution, and defect identification, improving software performance and enhancing user experience. These solutions enable testers to save time, increase test coverage, and develop self-curative and reusable test cases, thereby improving efficiency and accuracy.
According to Fortune Business Insights, the market was valued at USD 1.01 billion in 2025, projected to reach USD 1.21 billion in 2026, and expand to USD 4.64 billion by 2034, with a CAGR of 18.30%. North America dominated the market in 2025 with a 34.60% share, driven by strong IT infrastructure, high adoption of emerging technologies, and presence of major software testing vendors.
COVID-19 Impact
The COVID-19 pandemic accelerated the adoption of AI-enabled testing solutions, as enterprises shifted operations online and faced heightened risks from software failures. AI-enabled testing provided faster bug detection, minimized QA costs, and improved time-to-market. During the pandemic, major collaborations, such as Appvance with PwC Australia in 2020, introduced AI-powered combined test automation systems, further fueling market growth. These solutions ensured continuity in operations, prevented data loss, and improved testing efficiency across industries.
Market Trends
One of the key trends driving the market is the implementation of AI-driven security testing. AI enables identification of vulnerabilities, threat prevention, and integration of security testing into every phase of the Software Development Life Cycle (SDLC). In November 2023, GitHub launched AI-driven application security testing, featuring autofix for code scanning, secret scanning for leaked passwords, and custom expression generators, strengthening security capabilities and accelerating market growth.
Growth Factors
The rising demand for no-code or codeless AI testing platforms is boosting market expansion. Low-code platforms allow stakeholders with limited coding knowledge to build AI-driven test cases, streamlining test automation and making it accessible to a wider audience. By 2025, nearly 70% of newly developed enterprise solutions are expected to use low-code or no-code technologies. For instance, SofySense (April 2023) combines generative AI with no-code mobile application testing, enhancing efficiency, QA assistance, and automation capabilities.
Restraining Factors
AI-enabled testing is highly data-dependent, and biased or insufficient datasets can produce inaccurate or unfair results. Limited data can reduce the model's ability to detect edge cases, creating potential gaps in software testing. Developers must prioritize diverse and representative datasets to minimize bias and enhance testing accuracy.
Market Segmentation Analysis
By Deployment:
By Application:
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Key Industry Players & Developments
Top companies include Functionize, Sauce Labs, Tricentis, Diffblue, Applitools, Mabl, UBS Hainer, Testim, Perforce Software, and Open Text (MicroFocus). Notable developments:
Conclusion
In conclusion, the AI-enabled testing market is projected to grow from USD 1.01 billion in 2025 to USD 4.64 billion by 2034, at a CAGR of 18.30%, driven by AI integration, no-code solutions, cloud adoption, and demand in IT & telecom and healthcare sectors. Despite challenges such as data dependency and bias, emerging technologies, strategic partnerships, and innovations by key players will continue to drive global market expansion and improve software testing efficiency across industries.
Segmentation By Deployment
By Application
By Technology
By Industry
By Region