The global test automation market was valued over US$ 19.8 Bn in 2020
It is estimated to grow at a CAGR of 18.6% from 2021 to 2031
The global test automation market is expected to surpass value of US$ 125.9 Bn by the end of 2031
Analysts’ Viewpoint on Global Test Automation Market Scenario
Test automation allows for a shorter time-to-market, ensuring that the end product reaches the end-user in the shortest time possible and is bug-free. During the COVID-19 pandemic, the adoption of test automation services in the healthcare, BFSI, and telecommunications sectors increased in order to shorten software development lifecycles and improve customer experience. When lockdowns were imposed across the world, IT companies adopted automation to ensure their business functioned continuously during the pandemic. The increasing demand for test automation in remote software solutions and maintenance of distant IT infrastructure is boosting the automation testing market. Moreover, several firms are offering test automation courses and other test engineer activities, which is also expected to drive the global market.
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Overview of Global Test Automation Market
Testing is a crucial component of every digital transformation project’s success. A well-thought-out test automation strategy adds tremendous value to a company’s digital testing operations, resulting in a beneficial influence on the end-user experience. Test automation is the process of automatically executing tests, managing test data, and analyzing the results to improve software quality. It is essentially a quality-control measure, but its operations need the participation of the entire software development team. Gaining the most out of test automation requires the participation of all parties involves, from developers to business analysts and DevOps engineers. Large projects, projects that need testing the same sections of the project repeatedly, and projects which have already undergone a human testing procedure benefit from automated testing.
With the shift from traditional software development to DevOps and other fast-paced projects, test environments are becoming increasingly important to verify that systems run smoothly. The world of software testing has changed dramatically, with test automation evolving to enable rapid product releases of the best quality. Large organizations require automation testing services to ensure that their business operations run smoothly. With technological advancements, large organizations have established a variety of advance technology-based solutions and applications.
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Surge in Use of Test Automation Software in Various Industries for Quality Assurance
The test automation software is assisting a wide range of industries in simplifying software testing processes, lowering task compilation time, and increasing business efficiency. Leading IT firms have shown a growing interest in the industry in recent years, resulting in increased investments in the development of advanced software and QA testing tools. Increase in development of mobile applications in various sectors, shorter time to market, digital transformation across industries, and rise in spending by leading companies on business process automation through test automation software solutions are driving the global market. Quality assurance is enabled by test automation, which is expected to boost the growth of the test automation market.
Increase in Adoption of Advanced Technologies to Drive Global Test Automation Market
The test automation sector has great potential to evaluate advanced technological applications as modern technologies such as AI, machine learning, and IoT keep growing. AI is gaining popularity in testing since it shortens the test cycle. It is used for regression testing, performance testing, functional testing, and test automation. Test tools can now self-heal at runtime due to the increasing use of AI in their development. Over the forecast period, self-healing automation testing is expected to be one of the most popular testing trends.
Artificial intelligence (AI) must become an integral component of software testing tools. Each test cycle generates a significant quantity of data that can be used to identify and correct test failures. Each test run’s data can be sent back to the AI algorithms. The need for test automation technologies has increased as the benefits of adding AI into testing have grown.
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