Digital twin market to hit GBP £4.2 billion by 2030
Thu, 27th Aug 2026 (Today)
The standalone digital twin software market reached USD $1.3 billion in 2025, according to IoT Analytics. The research firm found that no vendor holds a strong position across the full digital twin technology stack.
It forecasts the standalone segment will grow at a compound annual rate of 27% to USD $4.2 billion by 2030. That market sits within a much larger software ecosystem worth USD $175 billion, including adjacent tools such as computer-aided design, product lifecycle management and simulation software.
The figures point to a gap between the visibility of the term "digital twin" and its current share of software spending. By IoT Analytics' estimate, standalone digital twin products account for just 0.7% of spending across the wider ecosystem that supports those deployments.
Fragmented stack
That imbalance reflects how digital twin products are assembled. Rather than forming a single, tightly defined software category, the market spans several workflow contexts and technical layers, making it difficult for any one supplier to provide a complete offering.
IoT Analytics' latest model organises the market across four workflow contexts, from design and engineering to networks and systems, and five technology layers, from data sources to end-user applications. Across more than 1,500 identified vendors, suppliers tend to be strong in only part of the stack.
The research argues this fragmentation is structural rather than temporary. Digital twin systems bring together different software disciplines, while customers also demand deep sector knowledge that varies by use case.
A twin for a power grid, for example, requires different data, models and operational assumptions from one built for a commercial building or an industrial production line. Breadth alone is therefore not enough, because suppliers also need expertise in the physical assets and operating environments they are trying to represent.
Recent consolidation has not fundamentally changed that picture, the analysis found. Deals including Synopsys-Ansys and Siemens-Altair have broadened product portfolios, but have not produced a single unified product covering the full digital twin stack from source data to user-facing software.
Category debate
The findings also underline a long-running issue in the sector: digital twin is widely used as a concept, but is less clear as a standalone product category. Suppliers often package digital twin functions within design, engineering, simulation, industrial software or operational technology platforms rather than sell a discrete product under that label.
That helps explain why the enabling software market is so much larger than the standalone segment. Companies buying or building digital twins often rely on a combination of modelling tools, industrial connectivity, analytics, asset data, simulation environments and sector-specific applications.
For buyers, the lack of an end-to-end market leader can cut both ways. A fragmented field may leave room to choose specialist software for specific tasks, but it also increases the burden of integration, data interoperability and supplier coordination.
The analysis suggests partnerships remain central to how the market works. Vendors focused on one or two layers of the stack often need alliances with other software providers, systems integrators or industry specialists to support broader deployments.
Growth outlook
The projected rise from USD $1.3 billion to USD $4.2 billion indicates strong demand for digital twin software sold as a distinct category. Even so, that growth comes from a relatively small base compared with the broader engineering and industrial software market.
That distinction matters for software groups trying to position themselves in the space. Companies may use digital twin language to describe a wide range of functions, but spending tracked as standalone digital twin software remains a narrow slice of the overall market.
IoT Analytics has tracked the digital twin market since 2020, when it introduced a three-dimensional classification framework based on hierarchical level, lifecycle phase and use. Its latest work shifts attention to how the market is built and sold, rather than simply where digital twins are used.
The firm argues this view gives a clearer picture of competition because it examines the underlying layers that make up a working digital twin system. Those include raw data sources, software used to structure and model assets, simulation environments and the applications through which users interact with digital representations.
Chief Executive Officer Knud Lasse Lueth said: "Our latest research on digital twin and simulation software shows that the $1.3 billion standalone digital twin market sits within a much larger $175 billion enabling-software ecosystem. Across 4 workflow contexts, 5 technology layers, and more than 1,500 vendors, no supplier owns the full stack. This fragmentation makes domain expertise, interoperability, and partnerships central to successful digital twin deployments."