What’s Driving the Next Wave of Mobile App Testing? 4 Key Trends Revealed

1. Rise of Continuous Testing Adoption

Most companies have dramatically increased interest in continuous testing. By embracing practices such as DevOps, business leaders recognize the importance of testing in progress. In our survey, 60% of respondents said implementing continuous testing would be their top strategy to accelerate product releases. Building a culture of continuous improvement through agile and DevOps enables rapid integration and faster enhancements, with automation further strengthening the continuous testing strategy. Quality and speed remain perpetual goals, and continuous testing is a key driver toward achieving them.

2. Increased Migration of Testing Infrastructure to the Cloud

The COVID‑19 pandemic forced many enterprises to shift to remote work, boosting demand for cloud‑based testing solutions. Approximately 70% of users have begun adopting SAAS products to support this transition. Organizations are moving testing workloads to various cloud platforms, as illustrated by a cloud‑real‑device testing solution used by a testing platform. Remote work has shown that productivity can be maintained from home, with test engineers able to execute most functional and automated tests remotely. Cloud migration and SaaS tools have become essential for supporting the new normal and will continue to attract focus as enterprises digitize their operations.

3. Growing Use of Artificial Intelligence in Testing

Artificial Intelligence (AI) plays a crucial role in the digital era and is becoming a core component of future applications. With the explosion of data, AI assists in validating code behavior and presentation, especially through Visual AI. Visual AI enables test engineers to achieve higher accuracy in visual verification, complementing standard unit tests and narrowing the gap between automated testing and visual validation. AI‑driven testing is expanding exponentially, simplifying test processes, and paving the way from traditional Quality Assurance (QA) to Quality Engineering (QE). Implementing AI across testing functions can boost efficiency, reduce manual effort, and deliver greater value in the coming years.

4. Emergence of Low‑Code Testing Platforms

The low‑code revolution is reshaping how applications are built, tested, and released. Many companies are adopting low‑code solutions to accelerate development cycles, as automated testing remains a priority on software agendas. Low‑code platforms enable rapid prototyping without the need for dedicated developers, shortening release timelines. Gartner predicts that by 2024, low‑code application development will account for over 65% of all app‑building activity, with roughly two‑thirds of large enterprises using at least four low‑code platforms. This shift is set to disrupt traditional software development practices.

Conclusion

While other emerging technologies also influence the landscape, the surveyed trends—continuous testing, cloud migration, AI integration, and low‑code platforms—are complementary and often overlap. Organizations that adopt these approaches are likely to increase value and competitiveness in the coming year.