Autonomous Testing: How It Works and Best Tools for Smarter QA
Consumer expectations have increased exponentially in the last few years. Software development teams are under constant pressure to deliver high-quality apps at speed. This means faster testing cycles and quicker error resolution. Autonomous testing leverages Artificial Intelligence (AI) and Machine Learning (ML) to accelerate testing while maintaining accuracy. This approach, also known as autonomous software testing, goes beyond traditional automation by dynamically adapting to application changes and reducing manual effort. Increasingly, enterprises are adopting autonomous automation within DevOps pipelines to deliver faster, higher-quality releases. As per Fortune Business Insights, AI-enabled testing that was valued at $856.7 million in 2024 is expected to reach $3,824.0 million by 2032. The figure is proof that organizations are largely investing in AI for software testing. In this blog, we’ll see what autonomous software testing is and how it can help you ...