Digital Twins are used to analyze and simulate the real-world counterparts in various environments and scenarios, allowing businesses to better understand and optimize the performance of their products and processes. This can help to improve efficiency, reduce costs, and make more informed decisions. Digital twins can also be used for predictive maintenance, enabling businesses to identify potential issues and take corrective action before they become serious problems.  

The IT-enabling units of SaaS based companies face massive pressure for developing and deploying software applications rapidly as per end-user expectations. These new software developments are often delayed due to a backlog or lack of skilled resources. Software Developers thus have massive dependence for providing several applications in minimum time than ever before.