Digital twins function as virtual replicas of physical assets and systems, using sensor data and IoT to provide real-time monitoring and analysis. This lets organisations simulate different operational scenarios and identify potential issues without disrupting actual production.
The technology has found wide adoption across manufacturing, energy, healthcare and logistics. Practical uses include anticipating equipment failures before they occur, testing product designs in simulated environments, identifying production inefficiencies and maximising output in renewable-energy systems.
Adopters benefit from better decision-making backed by real-time insight, significant cost reduction through optimisation and failure prevention, lower environmental impact, and the ability to safely experiment with innovative approaches. Data security, system integration and specialised skills remain the key challenges.