Automated Software Quality

Automated Software Quality

Global Automated Software Quality Market to Reach US$4.3 Billion by 2030

The global market for Automated Software Quality estimated at US$3.3 Billion in the year 2023, is expected to reach US$4.3 Billion by 2030, growing at a CAGR of 4.1% over the analysis period 2023-2030. On-Premise Deployment, one of the segments analyzed in the report, is expected to record a 3.5% CAGR and reach US$2.7 Billion by the end of the analysis period. Growth in the Cloud-based Deployment segment is estimated at 5.2% CAGR over the analysis period.

The U.S. Market is Estimated at US$889.8 Million While China is Forecast to Grow at 7.0% CAGR

The Automated Software Quality market in the U.S. is estimated at US$889.8 Million in the year 2023. China, the world`s second largest economy, is forecast to reach a projected market size of US$878.5 Million by the year 2030 trailing a CAGR of 7.0% over the analysis period 2023-2030. Among the other noteworthy geographic markets are Japan and Canada, each forecast to grow at a CAGR of 2.0% and 3.4% respectively over the analysis period. Within Europe, Germany is forecast to grow at approximately 2.7% CAGR.

Global Automated Software Quality Market - Key Trends and Drivers Summarized

Automated software quality (ASQ) has become a cornerstone of modern software development, leveraging automation tools to ensure the functionality, performance, and security of software applications. ASQ encompasses various practices such as automated testing, continuous integration, and automated code reviews, aimed at detecting and addressing defects early in the development cycle. By automating repetitive and time-consuming tasks, ASQ improves efficiency and accuracy, enabling development teams to focus on more complex and creative aspects of software creation. Key technologies involved in ASQ include unit testing frameworks, integration testing tools, and performance testing suites, which collectively contribute to delivering robust, high-quality software.

Technological advancements have significantly enhanced the capabilities and adoption of automated software quality tools. The integration of artificial intelligence and machine learning into ASQ processes has revolutionized test automation by enabling predictive analytics, intelligent test generation, and adaptive testing strategies. These innovations help identify potential defects before they manifest, thus preventing costly post-release fixes. Additionally, the rise of DevOps and continuous delivery practices has necessitated the adoption of ASQ tools that can seamlessly integrate with version control systems, build automation tools, and deployment pipelines. Cloud-based ASQ solutions have also gained traction, offering scalable and flexible testing environments that can be accessed remotely, thus supporting distributed development teams and accelerating the overall development process.

The growth in the automated software quality market is driven by several factors, including the increasing complexity of software applications, the need for faster time-to-market, and the rising demand for high-quality software. As software systems become more intricate, manual testing becomes less feasible, making automation essential for comprehensive quality assurance. The competitive business landscape compels companies to accelerate their development cycles, and ASQ tools enable quicker iterations and more frequent releases without compromising quality. Furthermore, the surge in digital transformation initiatives across various industries has heightened the demand for reliable software, prompting organizations to invest in robust ASQ solutions. Technological advancements, such as AI-driven testing and cloud-based platforms, further enhance the appeal of ASQ by providing more efficient, scalable, and intelligent testing capabilities. These factors collectively drive the robust expansion of the automated software quality market, underscoring its critical role in the future of software development.

Select Competitors (Total 51 Featured) -

• ACCELQ Inc.
• Atlassian Pty., Ltd.
• Capgemini SE
• Cigniti Technologies Limited
• Functionize
• HeadSpin
• IBM Corporation
• Inflectra Corporation
• Microsoft Corporation
• Open Text Corporation
• Parasoft
• Ranorex GmbH
• SmartBear Software, Inc.
• Testsigma
• Tricentis GmbH;

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