Digital Twin

Using real-time data to create dynamic virtual representations of the real world

Overview

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.

Industry Updates

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Market Sizing

The US Digital Twin market could reach USD 10.8 billion–14.6 billion by 2028

Conservative case

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Base case

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Expansion case

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Use cases


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:

Market Mapping


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.

The Disruptors


The Digital Twin (DT) market consists of large and diversified players such as Matterport and Hayden AI. In terms of pure play companies, Cognite and Nexar remain the highest funded companies (as of April 2024) and operate in the DT modeling segment.

From a segmental perspective, digital twin modeling, which offers data capture and analytical solutions, is the largest segment in terms of funding, followed by maintenance and monitoring. Other segments receive less attention, primarily due to the increasing maturity of DT technology for modeling purposes and the relatively lower adoption costs. This stands in contrast to segments such as building and design, which require broader adoption across campuses and cities.

Funding History

Competitive Analysis


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Incumbents


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.

In House Development
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Notable Investors


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Market Sizing

The addressable market for Digital Twins in the US is estimated at USD 31.9 billion

The total addressable market (TAM) refers to the total revenue opportunity available for a product or service, while the actual market is the market size based on revenue projections.
The TAM and actual market estimate for the digital twin (DT) market focus on five broad segments: 1) Maintenance and monitoring (TAM: USD 7.4 billion), 2) DT modeling (TAM: USD 7.3 billion), 3) Predictive assessment (TAM: USD 6.7 billion), 4) Planning and management (TAM: USD 7.1 billion), and 5) Building and design (TAM: USD 3.4 billion). The total TAM for DT in the US, covering all five segments, is expected to be ~USD 31.9 billion (see Appendix below for details).
The total actual market for DT in the US was estimated to be USD 3.2 billion in 2023 and is expected to expand to USD 12.7 billion by 2028 at a five-year compound annual growth rate (CAGR) of 31.7%, reaching a penetration rate of 39.9%.

Summary

Our conservative case projects the market to grow at a five-year CAGR of 27.5%, reaching USD 10.8 billion by 2028 and a penetration rate of 33.9%. Slower growth could be the result of slower consumer adoption due to: 1) high implementation costs combined with economic recession, 2) a lack of proven examples of the value proposition of DTs in segments with lower adoption rates such as predictive assessment, and 3) a slower-than-expected uptake from key industries. 
Our expansion case projects the market to grow at a five-year CAGR of 35.4%, reaching USD 14.6 billion by 2028 with a penetration rate of 45.9%. This scenario assumes: 1) accelerated adoption of DT due to lower costs of sensors and hardware, 2) expansion in the use cases for DT beyond the key industries selected for our market sizing, and 3) an increased number of implementations in terms of assets, including machines and buildings.

Appendix: TAM calculation by segment

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