As companies are aspiring for digital transformation, the necessity to adopt automation has been more than ever. Besides the usual IT processes, test automation also plays an important role in an organization’s software quality assurance process.
Since test automation came into existence as an improvement over manual testing, the domain has constantly evolved.
Here are some of the latest trends that are likely to impact quality engineering frameworks in 2022.
2022 trends in test automation
From cloud testing to AI-based testing, numerous trends are projected to enter and overhaul the existing technology domain in the next few years. However, let us only discuss some of the crucial test automation trends that are likely to capture the limelight in 2022:
Cloud-based testing is the future
Cloud technology has exploded in the last few years, with most workplaces going virtual and businesses focusing more on online service delivery. Moreover, this irreversible phenomenon is likely to expand in the coming years across the industry spectrum.
As per the predictions from Gartner, spending on cloud services globally has increased to $482 billion in 2022 from $313 billion in 2020.
To cope up with such rapid growth, businesses would be required to integrate and test these cloud systems seamlessly. And, this is where cloud automation testing comes into the picture.
Organizations primarily go for cloud adoption to increase their businesses’ scalability and efficiency. However, companies cannot achieve these features fully without embracing test automation. Therefore, enterprises looking to integrate cloud technology in their systems in the near future also need to be prepared to adopt cloud test automation.
API testing is crucial for business application
As more and more organizations are moving towards online service delivery, the need to have a robust system is indispensable. In this regard, API testing can prove to be a real gamechanger. Moreover, as part of the integration testing, API testing validates the APIs directly by checking their performance, functionality, reliability and security.
Companies, too, understand the importance of API and embrace it with both arms. As per a recent report, the global market for API testing is expected to reach USD 1,099.1 billion by 2022 from USD 447.4 million in 2017.
API test automation is also considered a crucial part of an organization’s test automation journey. There are also various API testing tools to help automation engineers go ahead with the process seamlessly.
Transformation of SDLCs into CI/CD pipelines
Businesses have replaced their traditional Waterfall model for a faster alternative with Agile & DevOps. However, organizations are continuously striving towards achieving speedier service delivery. In addition, the need for shorter development lifecycles has pushed businesses towards continuous integration and continuous deployment (CI/CD).
As a result, CI/CD frameworks are also being integrated into the Agile & DevOps methodologies giving rise to CI/CD pipelines.
Test automation is a crucial aspect of the CI/CD pipeline. Right from creating builds and unit testing to user acceptance and regression testing, CI/CD frameworks rely heavily on automation tools and techniques. Therefore, business leaders and QA teams need to look out for options to leverage test automation for a seamless CI/CD pipeline.
Mobile automation testing is the new normal
The scope of mobile testing has been rising steeply over the last few years. The latest report predicts that the mobile application testing market will surpass USD 13585.73 Million by 2026 at 20.3% CAGR.
Mobile applications play a significant role when it comes to providing an excellent user experience to its customers. In this regard, developing and testing mobile applications is the only way forward. Moreover, the growing competition in the mobile application market has driven companies to integrate test automation into mobile testing.
Even several Quality Engineering providers have realized the importance of mobile test automation and have equipped themselves with the required tools and expertise.
Time to embrace the AI-driven test automation
Automation is no longer limited to automating the repeated task to minimize redundancy in a process. An intelligent component is associated with automation now, which stems from AI (Artificial Intelligence) and ML (Machine Learning).
Besides speed, AI-enabled automation also brings in cognitive learning, which reduces the chances of manual error.
AI-driven automation has been in the picture since 2019. But, as we are in the initial phases of AI, the focus will continue to increase in this area.
Key takeaways
As test automation is evolving with every passing day, businesses need to keep themselves abreast with this evolution. Unfortunately, most of the time, organizations are not aware of the latest technology and even when they are made aware of it, they lack the expertise to use it.
This is where experience Quality Engineering firms like Qualitest come into the picture. Our experts in highly proficient quality engineering and brand assurance frameworks.
You can reach out to our experts today!
