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Continuous Testing Market Trends and Competitive Analysis to 2030
The Continuous Testing Market is expected to experience significant growth, with its value estimated to reach USD 6.17 Billion by 2030 from USD 1.67 Billion in 2021, at a CAGR of 15.8%. The growth can be attributed to the increasing adoption of DevOps, digital transformation of organizations across various sectors, and the need for timely and continuous software delivery. Continuous testing allows organizations to integrate their software with existing systems effortlessly, minimizing business risks.
The proliferation of smart devices, IoT, cloud, and mobile technologies across various industries is driving the market growth. The customization of mobile technology solutions in organizations is expected to further boost the growth of the continuous testing industry.
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The report highlights that the increasing amount of data generation across several sectors has led to heightened security risks, which has fueled the need for appropriate continuous testing. The web interface segment accounts for 39.4% of the continuous testing market share, while the cloud deployment model is estimated to contribute significantly to the market revenue share through 2030.
Driving factors of Continuous Testing Market
- Increasing mainstreaming of DevOps: Continuous testing is a critical component of the DevOps methodology, which is gaining widespread adoption in organizations.
- Digital transformation of organizations: The digital transformation of organizations across various industry verticals for enhancing their business operations is leading to a surge in the demand for continuous testing.
- Need for timely and continuous delivery of software: Organizations require timely and continuous delivery of software to meet the needs of their customers and stay competitive in the market.
- Proliferation of smart devices, IoT, cloud, and mobile technologies: The rapid growth of smart devices, IoT, cloud, and mobile technologies is driving the need for continuous testing to ensure that software applications work effectively across all platforms.
- Security concerns: With the evolution of technologies and digitalization, the amount of data generated across several verticals is huge, leading to increased risks of security breaches. This, in turn, has fueled the need for appropriate continuous testing.
- Customization of mobile technology solutions: Organizations are focusing on the customization of mobile technology solutions, which is expected to further boost the growth of the continuous testing industry.
Some of the notable innovations in the Continuous Testing Market
- AI and Machine Learning: The integration of AI and machine learning in continuous testing helps in identifying issues and analyzing large volumes of data to provide real-time feedback. This results in faster and more accurate testing.
- Cloud-Based Testing: Cloud-based testing enables organizations to access testing resources on-demand and allows for easy scaling, making it a cost-effective solution for continuous testing.
- Test Automation Frameworks: Advanced test automation frameworks are being developed to enable faster and more efficient testing processes. This includes the use of open-source tools and frameworks for automated testing.
- Shift-Left Testing: Shift-Left testing is a method of testing that involves moving testing activities to an earlier stage in the software development lifecycle. This approach allows for early identification and resolution of issues, leading to faster delivery of high-quality software.
- Continuous Integration and Continuous Delivery (CI/CD): CI/CD is a software development approach that involves the continuous integration of code changes and the continuous delivery of software. This approach requires continuous testing to ensure that changes are functional and do not break existing functionality.
- Low-Code and No-Code Testing: Low-code and no-code testing platforms enable users to create and execute tests without requiring specialized programming skills. These platforms are easy to use and can help reduce the time and cost associated with manual testing.
Major players in the market include
EPAM Systems, HCL Technologies, Mindtree, Atos, Hexaware, Cigniti, Tricentis, Tech Mahindra, NIIT Technologies, IBM, Larsen and Toubro Infotech, CA Technologies, Spirent Communications, Syntel, Capgemini, Micro Focus, Cognizant, Parasoft, LogiGear, Testplant, Softcrylic, QualiTest, Vector Software, SmartBear Software, and QA Mentor, among others.
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