Digital Twins (DT) bring a data-driven approach to asset management. They can be applied across multiple industries, including real estate development, manufacturing, energy and utilities, and pharmaceuticals and healthcare. DTs enable users to scale up the use of data and simulations in relation to the operation of physical assets, with exponential benefits in terms of the number of simulations that can be run at the same time and the accuracy of such simulations.
As a result, users are able to identify potential maintenance risks and failures and take corrective action, reducing the level of expenses and the risk of time-consuming failures and serious repairs. Another use case is in the energy sector, where DTs can be used to identify optimal operating conditions and layouts for varying energy generation plants, including wind farms, solar power plants, and thermal power plants.
Since the days of the Apollo program, the application of DTs has spread to other sectors, including automotive, construction, industrials, and power and utilities. The main appeal of DTs is their ability to assist companies to enhance process efficiency to drive down operational costs and time to market and stay on top of evolving consumer needs.
We have identified key DT use cases below:
The incumbents were early movers in the industry and traditionally dominated the market; however, we have seen several startups entering the space in recent times, primarily focusing on the digital twin modeling segment. These new startups offer data capture and analytical solutions for modeling across various industries. The maintenance and monitoring segment is also prevalent, especially among the incumbents as it caters to several industries.
Most incumbents in the Digital Twin space have been focused on Maintenance and Monitoring segment, and are already offering solutions to customers in this segment. General Electric and Siemens stand out as two of the leading players in this space, supported by Big Tech companies such as Amazon and Microsoft which offer technology services in support of DTs.
In terms of activity types, incumbents primarily rely on partnerships for innovation in their products and services, followed by investments and acquisitions to bring innovative companies under their internal innovation units. The impact of this can be seen in the in-house development at key incumbents, which are developing the tools that can be used by customers seeking to implement DTs.
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