9 QA Automation Trends of 2023

6 min readAug 7, 2022

So the year 2022 has come to an end and as we step in the year 2023, it’s interesting to look at how the test automation industry grew in 2022 and where it’s heading in the new year.

If we look at the Google Trends for 2022, it has brought various advancement in the test automation field. We heard more and more companies embracing agile testing methodologies and many buzzes around mobile testing, big data testing, cloud testing, and everything Agile. Now, as we move ahead, let’s find out what 2023 has on cards for all the test automation fraternities and enterprises out there!

According to the seventh edition of the World Quality Report, co-sponsored by Capgemini, Sogeti, and HP based on a global market research study conducted with 1,890 senior IT executives and testing leaders from 32 countries-

  • Continuous and automated security testing will be a key strategy
  • Agile and DevOps will take a front seat in testing
  • Predictive Analysis will be a major enabler to ensure on-time and efficient application delivery
  • Customer and business assurance will be the focus area

Based on the other key indicators, expert’s predictions and industry reports, here are the top test automation trends that we think will make waves in 2023.

QA Automation Testing trends
  1. Mobile Testing:

Like last year, mobile testing will continue to remain at the top of test automation trends owing to the remarkable shift in the adoption of mobile devices and technology in business. Mobile application testing will undeniably have the major impact on the software testing industry, which will comprise of functional, performance, compatibility, usability and security testing as the major areas.

Experts also predict that mobile test automation will cross web test automation if the market for mobile continues to rise at the same pace, which we believe is going to happen sooner or later. Chances are that Open-source frameworks, Mobile DevOps, and app markets will increase to a great extent leading to expansion of mobile test automation landscape.

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2. Testing of Big Data & Predictive Analytics:

With the rise of Big Data and Predictive Analytics, quality management for Big Data implementations will emerge. Devices, applications, and networks generate a huge source of unstructured and broken data ultimately leading to faulty and costly decisions if quality management is missing.

Testing and pushing the quality ahead will continue to remain as one of the hottest trends. Also, with big data and analytics testing, businesses will aim to get indicators to whether the application’s behavior will meet the customers’ demands or not.

3. APIs & Micro Services Testing:

Further to Big Data investment, we will see enterprises investing in Micro Services which makes it easy to test and deploy an independent piece of functionality without altering other applications and processes, making go-to-market faster for products & applications. This trend will inevitably rise up in the coming years since it ensures testing of complex applications which contain small, independent processes and architectures. On the other hand, to test applications comprehensively, API testing will be one of the top requirements of enterprises to test the dependencies of application with other applications.

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With APIs, web services, and data becoming important trends, it is obvious that test automation will not be confined to functional automation in the coming year. Enterprises will be looking for end-to-end lifecycle automation requiring you to automate anything across the entire software lifecycle be it unit test, system test, or integration test. This trend will definitely give opportunities to testers to groom automation skills from start to finish and not just enhance the functional testing skills.

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4. Shift Left Testing with TDD & BDD:

With configuration management automation to improve performance, there are chances that shift left testing trend would also be among the top adoption. Shift left testing is about starting the testing process early in the development cycle rather than waiting for the completion of development processes and QA tester to identify and report the bugs. API Testing with Postman technical support by 9 yrs. expert

An example can be, starting the testing processes right from the requirement phase will prevent the defects to get into the code and prevent hassles arising out of the defects and chaos.

With shift left testing, enterprises are more likely to better off in terms of costs and time since the longer it takes to identify bugs, the more it costs to fix.

Enterprises are also more likely to adopt TDD and BDD to deliver applications as per customer expectation without any defects or delay. By engaging in TDD and BDD methodology, the team can get an actual idea of what is required and there is no misunderstanding right from the requirements phase.

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5. Agile & Collaboration Tools:

Further to cope up with speed and agile methodology, experts predict that developers, testers and operation engineers utilizing the same tools to increase collaboration. Unlike a few years ago when teams were utilizing separate tools as per their roles, it is expected that teams will utilize the same tools and IDEs that help promote collaboration and increase the effectiveness of testing efforts. For e.g. utilizing common issue tracking and task management tools will provide better transparency of the processes occurring at cross-departmental teams. This will also promote better communication and feedback among teams to achieve the agile testing needs.

6. Merger of QA and Developers Roles:

The increasing adoption of DevOps principle is expected to break the silos of roles divided in terms of activities between developers, QA/testers, business analysts and production manager. We know, with changing times, the developers and operation managers have started adopting testing activity as a part of their day-to-day job. In fact, they love to test to ensure the defects do not get carried forward in the production lifecycle. Thus, keeping this trend in mind, the experts predict that, the roles of developers and testers will merge in the years to come

7. Selenium Wrapper Automation:

Selenium is skyrocketing in the automation tools industry since enterprises are increasingly using web applications. So, we will see more and more vendor tools providers that will support Selenium technology to automate web application testing. These tools will work around Selenium as a wrapper by integrating Selenium Web Driver with the backend architecture. This integration will not only help test the client applications but also test web applications via-à-is the interactions by pulling the APIs.

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8. IOT & Hardware Testing:

We know, Internet of Things is a growing trend and experts predict that approximately 50 billion objects will be connected to the internet which will use some sort of connectivity and sensors to react in the environment. This certainly will require testing of these objects back and forth along with the data that will be generated on a continuous basis. In this regards, it is also said that hardware testing will also become one of the key trends with IOT testing in 2023 and beyond.

9. DevOps:
On the similar trends like above, chances are that there would be more collaboration among developers, IT professionals and operation engineers leading to increasing adoption of DevOps. With more and more enterprises merging the roles of testers with developers and operational engineers due to overlapping competencies and the need to fit in the continuous agile cycles, DevOps methodology will be the most In-Thing in the year 2023. AWS DevOps Real-time Projects Online Training in Hyderabad


Considering the above trends, predictions, and statistics, we see a brighter future of test automation in 2023 and beyond. The areas such as DevOps, containerization, continuous integrations and shift left testing will grab the most attention while QA enterprises and test automation engineers will find exciting opportunities in the area of big data, mobile and API testing.

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