PUBLISHER: The Business Research Company | PRODUCT CODE: 2040023
PUBLISHER: The Business Research Company | PRODUCT CODE: 2040023
Digital twin (excluding automotive) refers to virtual replicas of physical entities, systems, or processes that are used for simulation, analysis, monitoring and optimization across various industries. A digital twin integrates real-time data collected from sensors and connected devices to mirror the current state and behavior of its physical counterpart. These virtual models are employed across the entire lifecycle of a physical asset or system from design and production to operation and maintenance enabling predictive insights, performance optimization and risk reduction.
The digital twin market (excluding automotive) market consists of sales by entities (organizations, sole traders and partnerships) of digital twin (excluding automotive) that is used within industries such as aerospace, energy and utilities, manufacturing, construction, maritime, healthcare and urban infrastructure. These users adopt digital twins to improve operational efficiency, conduct predictive maintenance, support decision-making and enhance asset reliability. Digital twins are typically used when physical systems are expensive to prototype, difficult to access, require real-time monitoring, or benefit from continuous performance optimization.
The global digital twin (excluding automotive) market was valued at $4,940.0 million in 2020 which grew till 2025 at a compound annual growth rate (CAGR) of more than 35.00%.
Expansion Of Smart-City Initiatives
The expansion of smart-city initiatives supported the growth of the digital twin (excluding automotive) market in the historic period. City authorities increasingly adopted digital twins to create virtual replicas of buildings, transportation networks, utilities and public assets to improve planning, monitoring and operational efficiency. These solutions enabled real-time data integration, traffic optimization, energy management and predictive maintenance of critical infrastructure. Government-led investments in connected sensors, IoT platforms and data analytics further strengthened digital twin adoption. As smart-city programs scaled globally, they created a strong foundation for the early deployment and validation of digital twin technologies across non-automotive applications. For instance, in December 2023, according to the National Institute of Standards and Technology, a US-based national metrology institute, the NIST global community technology challenge (GCTC) presented three innovative smart city projects at the Smart Cities Connect conference in Washington, D.C. These projects demonstrated efforts by cities to enhance transparency and improve access to information between local governments and residents, positioning them as models for other communities. Additionally, in April 2023, according to the IMD Smart City Index Report, a Switzerland-based business school, the number of smart cities worldwide increased from 118 cities in 2021 to 141 cities in 2023. Therefore, the expansion of smart-city initiatives drove the growth of the digital twin (excluding automotive) market.
High-Fidelity AI-Enabled Virtual Replicas Transform Manufacturing And Supply Chain Optimization
Companies operating in the digital twin (excluding automotive) market are leveraging artificial intelligence (AI)-driven, high-fidelity digital twins to optimize manufacturing and supply chain operations, improve operational efficiency, reduce costs and enable data-driven decision-making at scale. For instance, in January 2026, PepsiCo, a US-based beverage company, has announced an industry-first, multi-year collaboration with Siemens AG, a Germany-based automation company and NVIDIA Corporation, a US-based technology company to transform manufacturing and supply chain operations using artificial intelligence (AI) and digital twin technology. Unveiled at CES 2026, the initiative applies physics-based, high-fidelity digital twins to simulate and optimize plant and warehouse operations before physical changes are made. Using Siemens' Digital Twin Composer powered by NVIDIA Omniverse, PepsiCo can virtually test facility designs, identify operational risks and improve throughput and capital efficiency. Early U.S. pilots have already delivered significant gains in productivity and cost reduction. The partnership positions PepsiCo as a digital-first, future-ready CPG leader, setting a new benchmark for scalable industrial AI and digital twin adoption.
The global digital twin (excluding automotive) market is fragmented, with large number of small players operating in the market. The top 10 competitors in the market made up 19.99% of the total market in 2024.
Digital Twin (Excluding Automotive) Global Market Opportunities And Strategies To 2035 from The Business Research Company provides the strategists; marketers and senior management with the critical information they need to assess the global digital twin (excluding automotive) market as it emerges from the COVID-19 shut down.
Where is the largest and fastest-growing market for digital twin (excluding automotive)? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward? The digital twin (excluding automotive) market global report from The Business Research Company answers all these questions and many more.
The report covers market characteristics; size and growth; segmentation; regional and country breakdowns; competitive landscape; market shares; trends and strategies for this market. It traces the market's history and forecasts market growth by geography. It places the market within the context of the wider digital twin (excluding automotive) market; and compares it with other markets.