Testing trends, AI shifts, and smarter QA
It’s already clear that AI is here to stay in QA. But as teams move from experimentation to integration, the pressure’s on to stay focused, strategic, and smart about how new trends actually translate into impact. This month’s edition looks at where testing is heading—and how teams are keeping their edge in the process.
QA spotlight - 9 software testing trends in 2025
QA teams are doubling down on what works—and evolving fast. From tactical changes like migrating off Azure DevOps and investing in thorough test reports to broader shifts like tighter alignment between manual and automated testing, 2025’s trends show a focus on clarity, collaboration, and smarter execution.
There’s also a growing convergence between QA and other disciplines, with crowdtesting gaining traction, accessibility testing moving back into the spotlight, and partnerships with data scientists becoming more common. On the tooling side, low-code automation and improved data security are unlocking new opportunities.
The big picture is that QA is shifting left, getting more precise, and becoming more embedded in the value chain. Read the full blog post to dive deeper into all 9 trends.
In case you missed it - A smarter way to test with Sembi IQ
In the last month we launched Sembi IQ, our new AI-powered assistant built to make test design faster, smarter, and more strategic. If you couldn’t join our launch session, don’t worry. You can still catch the full on-demand webinar and see what happens when AI becomes a true QA partner.
Software testing bytes from around the web
🚗 Recalls aren’t just costly—they’re preventable. Automotive leaders are doubling down on QA that predicts failures before they hit the road.
📈 AI-powered test automation is on the rise. The market is expected to grow 6x by 2033. Smarter test generation, adaptive automation, and natural language interfaces are making QA more scalable than ever.
🔐 QA is the new red team. As ethical hacking moves left, QA teams are embracing security-focused testing techniques to find vulnerabilities early and reduce risk in production.
Tester community insights - How are you currently using AI in your QA process?
In our latest LinkedIn poll, we asked the QA community how they’re putting AI to use—and the results show increasing adoption with plenty of room to grow.
The top use case is generating test cases, with 36% of respondents already doing so. Still, nearly a third say they’re not using AI yet—suggesting that while interest is high, real-world implementation is still ramping up. The message is clear: testers want value, not just hype.
Before you go - Explore TestRail in action
Curious how TestRail can help you scale your QA strategy, integrate AI, or improve team collaboration? Join one of our weekly live product demos to see it all in action. Get your questions answered, explore key features, and learn why thousands of teams rely on TestRail to ship smarter, faster software.