In many application fields, the development of a Digital Twin is under way in order to open up new capabilities of generating information and steering a system via this digital approach. This methodology could achieve significant advantages as well for the use of tires. Based on sensor data, realistic information on the driving and loading history could be obtained, and with the help of simulation approaches, consequences for future characteristics and integrity could be predicted. These predictions could yield an active feedback to the driver in order to account for modified loading, i.e. driving conditions, to avoid for example excessive wear or failure. Different sources of information need to be used like measured data as well as simulated physics. One core component is therefore the simulation capability which could help to develop a Digital Shadow which is a holistic but passive representation in comparison to the active Digital Twin. The finite element method is a far developed methodology to represent the physical phenomena to be observed and evaluated. It can accompany all phases of the tire starting from production (unvulcanized tire), predicting the tire in use (friction, rolling resistance) and even different mechanisms of failure (damage, facture, wear) need to be considered. The production process influences clearly the final tire properties. Therefore, it is too much idealized to investigate the tire structure just based on the intended ideal design. Reality is different and these production features could be taken into account via a production simulation. The unvulcanized rubber is represented by an appropriate material formulation. The green tire is then placed in the mold and heated up, in order to modify the rubber into the cross-linked material. It ends up with a realistic tire structure incorporating the production features. The working conditions of the tire are manifold. Essential are the frictional features in the contact patch because friction is fundamental for the handling of the vehicle. Braking and wear characteristics depend on it among others. Failure and degradation properties have to be accounted for as well. Simulating wear is a challenging task but significant for the prediction of the properties of the worn tire and the lifetime. Even the interaction with its environment as the vehicle and the pavement are important. Predicting driving on snow or soft soil are specific challenges but in the reach of current simulation capabilities. Nowadays, the simulation capabilities with respect to the tire are well developed. Thus, the presentation will focus on the simulation chain of the tire, which is a significant constituting element of the Digital Twin, which needs to be supplemented subsequently by measured data and fast reduced order models. Current simulation capabilities will be pointed out and illustrated by numerical examples.