A digital twin is a virtual representation of a physical object, process, or system that stays connected to its real counterpart through data. Sensors feed the twin with current measurements, so engineers can monitor a machine, test a change virtually, or predict failures without touching the physical asset. Factories, wind farms, buildings, and entire supply chains run digital twins.
A digital twin differs from a 3D model or a one-off simulation. The link to live operational data is what makes it a twin: the virtual copy reflects the asset’s actual state over time.
The concept also extends beyond machinery. Simulation tools generate scenes that never happened, while data teams work with twin-like copies of real operational records to test and analyze safely. In both cases the value depends on how faithfully the copy preserves the structure of the original.
Related terms: Synthetic Data · Anomaly Detection · Data Quality