A digital twin is the virtual model representing physical objects or systems across their life-cycle— using real-time data to facilitate learning, reasoning, as well as dynamically recalibrating for enhanced decision making. Digital twin is a vital tool to help engineers learn not only how products are working, but also how they will work in the future. Study of the data from the sensors, coupled with other information sources, enables us to make these projections.
A digital twin platform creates a very complex virtual representation that is the exact counterpart or a twin of the physical object. The ‘object’ in this case could be a car, a bridge, or even a plane engine.
Some of the factors affecting the growth in the digital twins market are:
1. Increasing demand of digital twin technology in the pharmaceutical & healthcare industry.
2. Covid-19 outbreak.
3. The changing face of maintenance.
4. Increasing adoption of IoT.
4. Large-scale industrialisation & urbanisation.
