A recent study by Reports and Data projects that the market for software testing automation will grow to USD 19.97 billion by 2028. Using security solutions that are built into the application development environment helps improve workflow. Because they can avert issues and so save time and money, these techniques are very useful during compliance checks. Thanks to the emergence of continuous integration and deployment approaches that update apps often, systems can quickly identify code errors.


Based on components, the solution segment dominated the software testing automation market in 2020, and it is projected that it will do so going forward. The rise in demand for web software testing automation and mobile software testing automation is what is fueling the expansion of this market. For instance, both the expanded use of the internet and the adoption of BYOD rules by all businesses have contributed to the greater use of personal devices such as smartphones, smart wearables, laptops, and tablets to access corporate information. There is a rise in demand for software testing automation solutions to stop data breaches using mobile applications.


There are around 1920 million software developers globally, of whom > 40% build mobile applications and > 60% create web applications. Due to the growing trend of using smartphones and other mobile devices for various purposes, such as office work, online shopping, and social media access, mobile application development has increased. In order to prevent data breaches and loss and to keep track of the environment in which an application is running, it is more important than ever to protect mobile applications when they are still in the development stage.


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Several important conclusions from the study point to:


Budgetary restrictions and investment returns discourage corporations from making investments:


When businesses only use applications for mission-critical activities like placing orders for goods and services or processing payments, they put hundreds of applications at risk. Business-critical apps that are not in use are detrimental since they are frequently out of date. Many SMEs believe that spending money on these types of applications will be expensive for their companies. Unused programs constitute a long-term security risk since it is easy to hack them and acquire access to the IT infrastructure, whether they were web applications or other business-critical applications.


Possibility: As web- and mobile-based security processes incorporate artificial intelligence and machine learning, the necessity for software testing automation may rise:


software testing automation is concerned with web and mobile apps that go through several stages of the security development life cycle, such as secure coding and security design. Several AI-specific domains, such as ML and expert systems, can be used to derive, anticipate, or apply inferences to forecast security risks, find security vulnerabilities, and provide security coding correction recommendation in order to boost software testing automation. Security auditors can automate the attack threat identification and code review processes thanks to these technologies. A few businesses that have included AI and ML into their application development activities are FuGen X, USM Business Solutions, and BR Softech.


Problem: Unused apps present a significant security risk.


Underutilized mobile and web applications are the main problem. Programs that are infrequently utilized or idle for extended periods of time are regularly used by customers and enterprises. These applications present more risks. According to a Google survey, 25% of the average smartphone app's apps are dormant but not inactive. These programs can still connect, scan documents and photos, and mistakenly send private information to their parent firm. It is crucial to remove certain programs and apply software testing automation methods in order to lower risks.