The increased level of production is important to companies developing software for rapid (sometimes daily) release. Companies like Google automate testing to scale their software development process and release products that billions of users rely on daily. Google created new testing roles and job titles for their engineers when they realized the benefits of automated testing during their rapid growth. Their efforts resulted in higher quality, more reliable, and more frequently released software.

Yet we’re increasing delegating key quality assurance (QA) tasks to robots. The market for automated testing products is expected to be worth $20 billion by 2023 – three times as much as now. The ever-increasing complexity of software programmes, which have grown from a rudimentary series of command lines to a potentially infinite number of variables, have forced us to seek help from artificial intelligence. What’s more, the growing influence of agile and DevOps means we’re in a permanent sprint, and we need to speed up the QA process wherever we can.
He prefers to use the term “automated test execution” when discussing test automation because the majority of people are referring to automating that activity in the testing process. Non-technical testers should have access to the automation tools. Today’s modern automation technology makes it possible for teams to collaborate and benefit from automated testing.  
Sufficient test coverage typically demands significant effort. Hundreds of test cases may be needed to exercise all use scenarios, validate boundary and edge cases, and ensure that an application is compatible across browsers and devices. Data-driven automated testing separates test procedures from test data, allowing you to cover more scenarios with a minimum amount of effort. Easily repeat test cases across browsers or devices to ensure your application’s compatibility and consistent performance.
Manual software testing is performed by a human sitting in front of a computer carefully going through application screens, trying various usage and input combinations, comparing the results to the expected behavior and recording their observations. Manual tests are repeated often during development cycles for source code changes and other situations like multiple operating environments and hardware configurations. An automated testing tool is able to playback pre-recorded and predefined actions, compare the results to the expected behavior and report the success or failure of these manual tests to a test engineer. Once automated tests are created they can easily be repeated and they can be extended to perform tasks impossible with manual testing. Because of this, savvy managers have found that automated software testing is an essential component of successful development projects.
Factory accounting software was among the most popular of early business software tools, and included the automation of general ledgers, fixed assets inventory ledgers, cost accounting ledgers, accounts receivable ledgers, and accounts payable ledgers (including payroll, life insurance, health insurance, federal and state insurance and retirement).

Automated testing or test automation is a method in software testing that makes use of special software tools to control the execution of tests and then compares actual test results with predicted or expected results. All of this is done automatically with little or no intervention from the test engineer. Automation is used to to add additional testing that may be too difficult to perform manually.

Both keyword-driven and data-driven, TestComplete is a well-designed and highly functional commercial automated testing tool. TestComplete can be used for mobile, desktop, and web software testing, and offers some advanced features such as the ability to recognize objects, detect and update UI objects, and record and playback tasks. TestComplete can be integrated with Jenkins.

#5) We can have yet another set of tests that are simple but very laborious to be carried out manually. Tedious but simple tests are the ideal automation candidates, for example entering details of 1000 customers into the database has a simple functionality but extremely tedious to be carried out manually, such tests should be automated. If not, they mostly end up getting ignored and not tested.
I think we can all agree that automation is a critical part of any organization's software delivery pipeline, especially if you call yourself "agile." It's pretty intuitive that if you automate testing, your release cycles are going to get shorter. "So, if that's the case," you might say, "why don't we just automate everything?" There's a good reason: automation comes with a price.