Quality Engineering (QE) plays a critical role in ensuring reliable, trustworthy, and effective software development. In 2024, enterprises focused on GenAI-assisted QE—test automation, integrating AI/ML use cases and technologies into workflows, launching pilots, and implementing early-stage solutions.
2025, however, will be a different story. Quality will be at core of business operations; it will be part of culture that organizations would embrace. Organizations will shift their focus toward GenAI-led services and improving their AI/ML maturity within QE practices. At Orion Innovation, we foresee several trends in transformation and technological advancement within QE in 2025.
Top Trends
1. GenAI-Assisted QE and AI Agents in QE
In 2025, GenAI and AI-driven agents will play a bigger role in Quality Engineering. According to the World Quality Report 2024-25, 29% of companies are already actively using GenAI in their test automation processes. Adoption is expected to grow.
AI agents will be offered with configurable maturity levels to perform QE activities. Key parameters include adaptiveness, proactivity, task complexity, and supervised vs. autonomous operation. These agents will also play a crucial role in ensuring production site readiness, service monitoring, and running bots to ensure zero downtime.
2. Test More, Test Often—Shift Left and Shift Right with Test Automation
Quality Engineering teams will prioritize broader and more frequent testing through increased automation.
Increasing test automation coverage across platforms, browsers, and test conditions—from unit tests to end-to-end automation—will speed up QE cycles. Integrating Site Reliability Engineering (SRE) best practices, including performance engineering and monitoring, will also be a key trend.
3. Increased Complexity in Digital and Cloud-Based Application Testing
Testing digital and cloud-based applications will become more complex as industries like healthcare, e-commerce, and automotive integrate real-time data hosted on multi-cloud architectures and connected devices.
From patient health monitoring to autonomous vehicle diagnostics, applications will need to handle complex integrations, including invisible intelligence (sensors and tags used in devices onsite), Bluetooth or wireless connectivity, and software-defined systems.
As a result, cloud migration testing will be crucial—ensuring workloads align with migration strategies, systems integrate seamlessly, and non-functional aspects like performance and security are validated.
4. Rise of Open-Source, Pay-Per-Use, Cloud-Hosted, and GenAI-Enabled Testing Tools
In 2025, enterprises will prefer to leverage cloud-hosted, pay-per-use testing tools powered by AI and machine learning for QE activities. QE teams will move away from traditional, on-premise solutions in favor of more flexible, scalable options that offer automation and intelligent recommendations.
Additionally, platform-specific QE tools—such as GitHub Copilot for Microsoft ecosystems—will gain traction, helping teams write, test, and optimize code more efficiently.
5. Smarter Test Data Management and Dynamic Test Environments
Enterprises will place greater emphasis on high-quality test data and efficient test environment management. Teams will prioritize test data quality, test data planning, data refresh processes, test data creation, and data masking—leveraging GenAI-assisted tools to reduce test data-related issues.
At the same time, the way enterprises setup, monitor usage, and release test environments will evolve. There will be a greater reliance on dynamic, cloud-hosted virtual and cloned environments.
6. Testing for Spatial Computing and Immersive Environments
Quality Engineering will expand into testing immersive technologies like augmented reality (AR), virtual reality (VR), and advanced sensor technologies. Teams will focus on user experience, performance, and embedded product/device integration testing within spatial computing environments.
Enterprises across industries will adopt these technologies to create three-dimensional digital experiences. For example, sports organizations may use AR/VR to enhance player training and spectator engagement. In the automobile industry, specialized testing of telematics, infotainments, and Software-Defined Vehicles (SDVs) will be required.
7. Increased Complexity in Application Security Testing
Application security testing will become more complex as customer-facing applications face increased threats, particularly from bot attacks. To combat these risks, companies will turn to AI/ML-driven techniques and advanced computing power for real-time threat detection.
Vulnerability assessments and penetration testing will evolve to keep pace with more sophisticated attack methods, ensuring applications remain secure.
8. Growth of Quality Engineering Centers of Excellences (COEs)
In 2025, Quality Engineering COEs will be key to enhancing efficiency and delivery. Enterprises will continue to rely on Quality Engineering resources integrated within agile development teams.
Meanwhile, COEs will provide advisory support, best practices, outcome-based and value-driven QE services, innovation strategies, and upskilling programs to drive continuous improvements.
Transform Your QE Workflows in 2025
As we move into 2025, QE will continue to be the foundation for faster, high-quality software development. Enterprises can achieve higher levels of automation with AI/ML, allowing teams to adapt quickly to changes, troubleshoot proactively, and meet the demands of modern development.
With quality, reliability, and speed at its core, QE ensures that enterprises not only keep up with technological advancements but also deliver impactful solutions.
Author
Sachin Kinare
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