Digital Twin Technology

Digital twin technology is the use of a dynamic digital representation of a physical asset, process, system, or environment that is continuously updated using real-world data. Digital twins can combine sensor data, operational information, simulations, analytics, and artificial intelligence to reflect how the physical counterpart is performing and how it may respond to different conditions.

Organizations use digital twins to monitor equipment, predict failures, test operational changes, optimize performance, and support planning without disrupting the real-world system. Applications include manufacturing, buildings, energy networks, transport, infrastructure, healthcare, and supply chains. In sustainability, digital twins can help model energy use, emissions, resource consumption, maintenance needs, and efficiency improvements, supporting better operational and investment decisions.