Automation Testing Market Statistics 2021: Top Factors that Are Leading the Industry around the Globel

Automated testing or test automation is a sort of programming testing procedure that utilizes software tools to control execution of software applications and then compare actual test results with predicted results. In automation testing, a test engineer writes programming scripts and use appropriate software to test these application cases. Tools and strategies used in automation testing can decrease the requirement for manual involvement in repetitive processes. From a more extensive perspective, automation testing can be considered as the technique that utilizes automated applications to accelerate development of software through its complete life cycle. The primary objective of test automation is to improve efficiency of test cases and develop value of a software.

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Top impacting factors: Market Scenario Analysis, Trends, Drivers, and Impact Analysis
Increase in investments in Artificial Intelligence (AI), coupled with rapid deployment of AI-powered solutions among various companies act as the major drivers for the growth of the global automation testing market. Moreover, rise in demand for AI and machine learning in quality assurance and testing among enterprises is another factor expected to drive growth of the market in the coming years. However, automation testing cannot replace all manual testing solutions, which hampers the adoption rate of automation testing solutions. Furthermore, continuous development in the IT sector with help of automation technologies is an opportunistic factor of the global automation testing market.

Rise in investments in AI
The global automation testing market is characterized on the basis of technology that include AI, IoT, and DevOps. AI is estimated to account for a major share in the automation testing market as it has the ability to learn from different user flows and create test cases based on actual user data. Thus, helping test engineers to reduce time spent on creating new test data as AI automates the test cases based on actual user data, which is a major factor for companies to opt for automation testing solutions. This helps to increase test handling cases and make the automated tests much more effective.

Moreover, replacing static locators with dynamic locators is expected to make testing software more stable, owing to which authoring and execution of tests run at high speed. For instance, in October 2019, IBM Corporation, announced that the company has released its Auto AI. It is a new set of competences for its flagship product “Watson Studio”. These new capabilities are designed for automating several of the often complex and monotonous activities associated with governing, optimizing and designing AI in the company.

Increase in demand for automation testing vs manual testing
Software testing is an essential part of development for a successful software project. Software testing itself consists of a huge domain in which many alternatives such as selenium and test complete exist. Software testing is classified into two categories, namely, manual and automated testing. In manual testing, a testing engineer manually executes test cases. Manual testing does not use any tools or scripts. This means that a testing engineer must prepare a dataset and scenario for generating right inputs or actions to test described scenario. Whereas, in automated testing, tools and scripts are used to prepare data and state that automatically execute desired steps required to verify the scenario in an automated way. Therefore, automation tests play important role in software development and come in handy where processes can be automated. Thus, many organizations incline towards automation testing due to its aforementioned factors.

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Key benefits of the report:

This study presents the analytical depiction of the global automation testing industry along with the current trends and future estimations to determine imminent investment pockets.
The report presents information related to key drivers, restraints, and opportunities along with detailed analysis of the global automation testing market share.
The current market is quantitatively analyzed from 2020 to 2027 to highlight the global automation testing market growth scenario.
Porter’s five forces analysis illustrates the potency of buyers & suppliers in the market.
The report provides a detailed market analysis based on the present and future competitive intensity of the market.

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