In a rapidly changing digital world, it's more important than ever that quality assurance (QA) not only keeps up with development but also leads the way. As new technologies and innovations reshape the landscape for software development and testing, we ensure that we use the best tools and methods to deliver the highest quality to our customers. Gartner’s latest report on the 2025 strategic technology trends highlights several areas that will directly impact the future of QA, and here’s how we address these challenges and opportunities.
1. Agentic AI and AI Governance: Automation with Responsibility
Agentic AI, described by Gartner as AI systems that can autonomously make decisions and act on them, has enormous potential to revolutionize QA. In quality assurance, these AI systems can automate large parts of the testing process and intelligently decide which tests are relevant to perform, based on real-time data. At System Verification, we are already experimenting with how we can integrate AI-driven automation into our testing to improve both speed and coverage.
However, with this increased autonomy comes greater responsibility. AI governance platforms become central to ensuring these AI systems act reliably and ethically. We must ensure that tests performed by AI systems are free from bias and that they uphold the highest standards of transparency and fairness. Here, QA guarantees that AI systems are reliable and meet all regulatory requirements.
2. Post-Quantum Cryptography: Security in a Quantum Computing World
Quantum computers are expected to change the foundations of encryption and security in software development. Gartner reports that traditional encryption methods will become obsolete in a future quantum computing world. This means that security testing for software must evolve to include post-quantum cryptography. At System Verification, we are exploring the possibilities of developing methods to test and ensure that our customers' software is prepared for future security challenges, particularly in industries critical to national infrastructure or financial services.
3. Energy-Efficient Software: Code That Consumes Less
Gartner also points out energy efficiency as a key factor in future technology. As the IT industry moves toward increasingly energy-intensive systems, especially in AI and machine learning, there is a growing need to optimize code and systems to minimize energy consumption. Quality assurance can play a crucial role here by testing and optimizing the performance of software, which reduces both energy consumption and operational costs. We are developing and implementing sustainable QA solutions that help our customers reduce their environmental impact while increasing system efficiency.
4. Polyfunctional Robots: Flexibility in Testing
Polyfunctional robots, which can perform multiple tasks, are on the rise according to Gartner. In QA, these robots can revolutionize test automation. By handling repetitive and complex tasks, they can relieve QA teams and increase test coverage. We are looking into how this technology can be integrated into our testing processes, particularly in environments where repeated testing or advanced simulation is required, such as in industrial automation and IoT.
A Leading Position in QA for the Future
We are preparing for these trends and integrating them into our offerings. We are confident that these strategic technologies will not only change how we work with quality assurance but also how we deliver value to our customers. By embracing AI, post-quantum cryptography, energy efficiency, and robotics technology, we can ensure that we are delivering the quality assurance of the future today.
Learn more about how we can support and help you on your journey at www.systemverification.com and follow our journey as we continue to lead the development in software quality assurance here on our blog.
