Digital Twin Market Analysis by Trends, Size, Share, Company Overview, Growth and Forecast by 2027 | MarkNtel Advisors
The Global Digital Twin Market is anticipated to record a whopping 58% CAGR during the forecast period, i.e., 2022-27. Most of the market expansion would be propelled by the mounting demand for asset monitoring, rising penetration of Industrial IoT (IIoT), and the increasing number of smart building infrastructures to ensure optimum energy consumption. Digital twins help create predictive models to identify the possibility of success of physical prototypes before they are actually built. Hence, they allow for improved workflow across different stages of a product's lifecycle— design, engineering, maintenance, & sales.
Read More- https://www.marknteladvisors.com/research-library/global-digital-twin-market.html
The Global Digital Twin Market is anticipated to record a whopping 58% CAGR during the forecast period, i.e., 2022-27. Most of the market expansion would be propelled by the mounting demand for asset monitoring, rising penetration of Industrial IoT (IIoT), and the increasing number of smart building infrastructures to ensure optimum energy consumption. Digital twins help create predictive models to identify the possibility of success of physical prototypes before they are actually built. Hence, they allow for improved workflow across different stages of a product's lifecycle— design, engineering, maintenance, & sales.
Read More- https://www.marknteladvisors.com/research-library/global-digital-twin-market.html
Digital Twin Market Analysis by Trends, Size, Share, Company Overview, Growth and Forecast by 2027 | MarkNtel Advisors
The Global Digital Twin Market is anticipated to record a whopping 58% CAGR during the forecast period, i.e., 2022-27. Most of the market expansion would be propelled by the mounting demand for asset monitoring, rising penetration of Industrial IoT (IIoT), and the increasing number of smart building infrastructures to ensure optimum energy consumption. Digital twins help create predictive models to identify the possibility of success of physical prototypes before they are actually built. Hence, they allow for improved workflow across different stages of a product's lifecycle— design, engineering, maintenance, & sales.
Read More- https://www.marknteladvisors.com/research-library/global-digital-twin-market.html
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