Digital twin market seen hitting $228.46 billion by 2031

Mordor Intelligence projects the global digital twin market will more than quadruple by 2031, driven by industrial IoT, edge AI and growing demand for real-time asset intelligence. Manufacturing leads today, while oil and gas and Asia-Pacific are among the fastest-growing areas.

Why it matters: - Digital twins are moving from niche pilots into core industrial software, helping companies monitor assets, test changes virtually and reduce downtime. - The technology is becoming more important as manufacturers, energy companies, aerospace firms and infrastructure operators look for real-time operational visibility. - Growth in the market points to wider spending on industrial IoT, edge AI, cloud platforms and simulation tools across capital-intensive industries.

What happened: - Mordor Intelligence said the global digital twin market is projected to rise from $49.2 billion in 2026 to $228.46 billion by 2031. - The forecast implies a 35.95% compound annual growth rate over the period. - The research firm said the market is expanding across manufacturing, energy, aerospace and infrastructure use cases. - North America remains the largest regional market. - Asia-Pacific is projected to post strong growth through 2031.

The details: - Digital twins are virtual replicas of physical assets, processes and systems used to improve performance, monitor operations and simulate scenarios. - Industrial IoT adoption is expanding digital twin use by linking sensors, controllers and telemetry systems to live operational data. - Edge computing and AI are improving response times and helping digital twins identify abnormal behavior and support predictive maintenance. - Virtual commissioning lets engineering teams test production lines, automation systems and equipment setups before physical installation. - Cloud platforms are making deployments more scalable through centralized data management, cross-site monitoring and easier enterprise integration. - Hybrid deployments keep latency-sensitive workloads at the edge while using the cloud for analytics and model development. - Manufacturing remains the largest application segment. - Oil and gas is projected to grow quickly as operators seek asset integrity, remote inspection and predictive maintenance capabilities. - The report said digital twins are increasingly integrated with cloud computing, simulation software, industrial automation, AI analytics and enterprise data platforms. - The market is segmented by application, component, deployment mode, enterprise size and geography. - Key applications include manufacturing, energy and power, aerospace and defense, oil and gas, automotive and others. - Key components include solutions/platforms and services. - Deployment modes include on-premises and cloud. - Enterprise customers include large enterprises and small and medium-sized enterprises. - The report identified General Electric, IBM, Siemens, Dassault Systèmes and PTC among the industry leaders. - Other companies covered include ANSYS, AVEVA, Bentley Systems, Hexagon, Microsoft, Oracle, SAP, Schneider Electric, Robert Bosch and Amazon Web Services.

Between the lines: - The market forecast suggests digital twins are becoming part of broader industrial modernization, not just a standalone software category. - Strong demand in oil and gas and infrastructure points to use cases where failure is expensive and real-time simulation can save time and money. - Competition is likely to center on interoperability, AI integration, cloud deployment and the ability to scale from pilots to multi-site rollouts. - Mordor Intelligence also highlighted recent partnerships in semiconductor manufacturing and telecom network optimization, signaling that the technology is spreading into more specialized workflows. - The company said Asia-Pacific growth is being supported by government-led digitalization, smart infrastructure programs and industrial modernization.

What's next: - The market is expected to keep expanding through 2031 as more companies move from testing digital twins to broader enterprise deployment. - Vendors are likely to lean harder into secure data exchange, model validation and lifecycle management as customer needs get more complex. - Additional adoption should follow in smart manufacturing, energy management, transportation and urban planning, especially in Asia-Pacific. - More information

The bottom line: - Digital twins are becoming a mainstream industrial planning and operations tool, and Mordor Intelligence expects rapid growth as companies chase better efficiency, resilience and predictive insight.