Environment tracking : Digital twins are virtual representations of real-world objects and systems. These representations can be updated in real time using sensor data from objects. This means digital twins can be used to monitor weather, air pollution, water quality and environmental factors in many areas.

City planning: Digital twins can be used to simulate the traffic flow of cities and optimize infrastructure.

Product development: Digital twins can be used to design and test new products. This can help reduce time to market and reduce costs.

Manufacturing: Digital twins can be used to optimize manufacturing processes and predict failures. This can help increase production efficiency and improve product quality.

Maintenance: Digital twins can be used to monitor the condition of equipment and perform predictive maintenance. This can help reduce downtime and reduce costs.

Health: Digital twins can be used to model patients' individual health and develop personalized treatments.