As per recent analysis by Grand View Research, Inc., the size of the global automation testing market is anticipated to reach USD 92.45 billion by 2030, expanding at a CAGR of 17.3% from 2023 to 2030. The demand for the market is being driven by notable technological advancements in machine learning (ML) and artificial intelligence (AI). The use of mobile applications is expanding across a range of end-user sectors, and smartphone use is increasing, creating an alluring opportunity for market growth.

 

Additionally, as web-based applications have advanced dramatically and new software technologies have evolved, there is a growing need for automation testing. The market is expanding quickly as a result of the increased use of ML and AI in DevOps and DevSecOps for enhanced analytics and continuous testing.

 

A few examples of the application of AI & ML in automation testing are the rising use of RPA to automate time-consuming, error-prone manual operations. Additionally, when web crawling or spidering, a bot makes use of the page's multiple links and web forms to systematically go through an online application. 

 

Automation testing is now using AI and ML in this way. This method is frequently used to index web browsing. Reverse engineering an application that is being tested and finding Test Cases automatically could be enhanced. The expansion of the industry is being majorly fueled by new automated testing tools.