Why Modular Hardware Is Moving Beyond the Prototype Stage
Thu 15 Jan 2026
In 2026, modular hardware is expected to make the move from concept to widespread usage. It is easy to see the appeal of devices and robots that can be adapted and repaired by simply switching out one component for another. However, the reality in many factories and workplaces fell well short of this ambition, with only a limited number of devices being truly modular.
According to the Modular Robotics Market Report 2025, published by Research and Markets, rapid growth is expected in this market, with a growth rate of 16% forecast until at least 2029. The market is on track to almost double from £8.1 billion ($10.9 billion) in 2025 to £14.5 billion ($19.5 billion) by 2029.
This strong growth reflects the ongoing shift to modular devices, which enable the switching of everything from sensors to robotic arms. With AI technologies and models developing faster than hardware, modular systems are becoming the norm in a number of tech ecosystems that want to future-proof operations.
The UK’s Advanced Research + Invention Agency (ARIA) survey ‘Perspectives on the Future of Robot Modularity, Interoperability, and Standards’ highlighted areas of optimism and concern. Virtually all survey respondents say that boosting modularity will benefit the adoption of robotics, increasing competition, flexibility and reusability.
“Experts in Robotics and autonomous systems (RAS) experts widely agree that modular design and interoperability are essential for maximising the benefit of these technologies and unlocking their full economic potential,” read the survey report.
“In practice, many organisations are already embracing interoperability: about three-quarters design their products to work with other systems, and an equally large majority are eager for opportunities to test their robots alongside others to validate compatibility,” it continued.
Digital Twins and Edge Computing Accelerate Adoption
Due to digital twin technology, modular devices can be completely optimised before they are implemented, reducing the number of preventable tech issues. Machine learning, too, is being used to enhance the capabilities of modular robotics using predictive analytics.
“Edge computing integration enables real-time processing and decision-making within modular systems. The International Telecommunication Union (ITU) reported that edge computing deployments in modular applications grew by 89% in 2023, enabling faster response times and reduced dependence on centralised processing systems,” said an Emergent Research report.
“Collaborative robotics advances support modular manufacturing environments where human workers and robots operate together safely and efficiently.”
Work still needs to be done around reliability concerns, mainly because the higher the number of individual components, the higher the chance one of these elements fails and causes a breakdown. This is particularly an issue in factories where vibration or high heat levels are the norm. Despite these challenges, the continuing drive to ensure sustainability and make the most of advanced technologies will be a major factor in modular hardware moving from concept to reality.
