Digital Twin is a near-real-time digital image about the historical and current behaviour of a physical object or process that helps optimize business performance.Digital twins exist at the nexus of physical engineering, data science, and machine learning, and their value translates directly to measurable business outcomes—reduced asset downtime and maintenance costs, improved plant and factory efficiency, reduced cycle times, and increased market agility.
The global Digital Twin size is estimated to be USD 3130.3 million in 2026 from USD 1776.4 million in 2020. And the global Digital Twin market size is expected to grow at a CAGR of 15.