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Digital Twin
A virtual representation of a physical object, system, or process that uses real-time data and other sources to enable learning, reasoning, and dynamically recalibrating for improved decision making. Digital Twins are used in various industries such as manufacturing, healthcare, and urban planning to simulate, predict, and optimize performance, providing a comprehensive view of the physical counterpart's lifecycle. This technology primarily benefits industries and organizations looking to enhance operational efficiency, reduce costs, and improve overall system performance through advanced simulations and predictive analytics.
Digital Twin was discovered on January 27th 2020 and it currently has a search volume of 110K with a growth of +250%.
Growth
- Exploding
- Regular
- Peaked
Speed
- Exponential
- Constant
- Stationary
Seasonality
- High
- Medium
- Low
Volatility
- High
- Average
- Low
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