Global Gas Network Digital Twin Market Outlook, 2031

Gas network digital twins constitute a class of simulation and monitoring systems that create a continuously updated virtual representation of a physical gas network, integrating real-time sensor data, geographic information, hydraulic models, and asset records to support planning, operational monitoring, and network optimization. The regulatory perimeter around these systems has tightened along two axes. The first is integrity management and risk documentation. PHMSA’s Gas Mega Rule has expanded reporting requirements and mandatory integrity management plans that must incorporate data-driven decision-making, and digital twins are increasingly positioned as the instrument through which operators satisfy those obligations. The European Union’s Gas Directive mandates regular integrity assessments and public safety communications, creating documentation burdens that digital systems address more efficiently than manual processes, and South Korea’s regulatory authority has mandated digital monitoring for all new gas infrastructure projects. The second axis is the energy transition. National Gas, the operator of Britain’s 7,600 km National Transmission System serving over 23 million homes and 210,000 businesses, has worked with DNV to establish the feasibility of hydrogen blending, building the FutureGrid hydrogen test facility at DNV’s Cumbria site and using a digital twin as the primary instrument for managing the complexity that hydrogen introduces. Snam, the pan-European gas infrastructure operator, is deploying Dassault Systèmes’ 3DEXPERIENCE platform to create virtual twins of its gas pipelines network, storage sites, and LNG terminals in Italy, integrating real-time sensor data to manage and optimize asset operations, improve structural safety, and reduce emissions.

The manufacturing and development base is led by simulation and industrial software providers with gas-specific modelling capability. DNV and CFMS developed the Common Vision Digital Twin infrastructure used by National Gas for its Network Performance Twin, integrating gas modelling tools with real-time data to visualise, simulate, and manage the performance and risks of critical gas infrastructure in a hydrogen-enabled environment. Dassault Systèmes’ 3DEXPERIENCE platform provides the virtual twin environment for Snam’s network, storage, and LNG assets, enabling collaborative asset management and lifecycle simulation. Schneider Electric’s Advanced Gas Management System operates as a digital twin of the natural gas grid, built on a single in-built network asset model supporting medium- and high-pressure networks, geographic asset locations, and SCADA, GIS, and topology integration, and its Gasunie deployment provides real-time insight into the high-pressure gas pipeline network with demand forecasting up to 48 hours ahead and simulation of gas flows and composition. Siemens’ Gridscale X platform provides grid management software with digital twin capability for transmission and distribution, and the company has been identified as a leader in the gas network digital twin competitive landscape with advanced integrated solutions. AspenTech’s HYSYS process simulation has been deployed as a live digital twin for LNG operation monitoring, integrating with live plant data on cloud platforms. These participants compete on simulation fidelity, hydrogen and blended-gas modelling, real-time integration with SCADA and GIS, regulatory documentation capability, and the ability to scale from asset-level twins to network-level twins spanning thousands of kilometres.

Market Dynamics

Market Drivers • Regulatory Compliance and Mandatory Integrity Documentation: The most powerful driver across the global gas network digital twin market is the conversion of integrity management and risk assessment from periodic paper exercises into continuously documented, data-driven processes. PHMSA’s Gas Mega Rule requires pipeline operators to maintain comprehensive integrity management plans and to document asset conditions, risk assessments, and maintenance records, and digital twins are being positioned as the instrument that makes compliance continuous rather than episodic. The European Union’s Gas Directive mandates regular integrity assessments and public safety communications, and the documentation burden is such that digital systems are more efficient than manual processes. South Korea’s mandate for digital monitoring on all new gas infrastructure projects illustrates the direction of travel: regulators are increasingly specifying the capability rather than leaving it to operator discretion.
• Hydrogen Blending and Blended-Gas Simulation: The introduction of hydrogen and biomethane into gas networks is creating a simulation problem that conventional hydraulic models were not designed to solve. National Gas and DNV’s FutureGrid digital twin was built explicitly to manage the complexity that hydrogen brings, using hundreds of sensors to capture real-time data on test-system operation and passing it via the cloud to a digital twin that uses simulation and machine learning to support decision-making, allowing operators to see the impact of decisions before they are implemented on the physical system. A physics-based digital twin implemented in SmartSim iteratively adjusts hydrogen injection rates based on simulated feedback, ensuring that hydrogen concentrations remain within 5% at all nodes and times, and a Monte Carlo uncertainty analysis with 1,600 randomised simulations confirmed robustness with variance below 1%.

Market Challenges • Data Fragmentation and Model Validation Burden: A persistent technical challenge in gas network digital twins arises from the fragmentation of data across SCADA historians, GIS records, asset databases, inspection reports, and sensor networks, and from the difficulty of validating that a simulation accurately represents the physical network. The European Commission’s smart metering security recommendations call for data-model validation with digital signature and time-stamping for legal non-repudiation, and PHMSA’s integrity management framework requires that risk assessments account for uncertainties in the data used. A digital twin is only as reliable as its underlying model and data, and model calibration, sensor selection, and adaptation to regulatory requirements are identified as recurring challenges in transmission-system deployments. The burden is compounded by the need to integrate legacy systems that were never designed for real-time data exchange, and by the absence of a single harmonised standard for gas network digital twin architecture, with ISO 23247 providing a manufacturing-oriented framework and ISO/IEC 30186:2025 offering a maturity model rather than a gas-specific specification.
• IT/OT Convergence and Cybersecurity Exposure: The connectivity that makes a digital twin valuable real-time sensor data, cloud simulation, SCADA integration also expands the attack surface of the gas network. The European Commission’s joint report on smart metering security recommends secure-by-design requirements for field devices and gateways, hardware or software root-of-trust, secure boot and signed firmware updates, and end-to-end encryption with mutual authentication for all WAN and cloud exchanges, and these requirements apply with equal force to the data flows feeding a digital twin. Utilities must therefore satisfy both the data-rigour expectations of integrity management and the security expectations of NIS2 and IEC 62443, and the digital twin becomes a boundary object that must be governed under both enterprise IT security policies and industrial control system security frameworks.



Market Trends • Network-Level Twins and Whole-System Simulation: The market is shifting from asset-level digital twins, which represent individual compressors, regulators, or meter stations, toward network-level twins that model interconnected infrastructure across thousands of kilometres. Snam’s deployment of the 3DEXPERIENCE platform is explicitly a network-level initiative, creating virtual twins of the gas pipelines network, storage sites, and LNG terminals and connecting stakeholders around a simulation of the complex asset network. National Gas’s Network Performance Twin integrates asset-level models into a unified viewer that visualises static, dynamic, and live data against simulated data, and DNV and National Gas envisage connecting the FutureGrid twin to digital twins of other key infrastructure and eventually managing entire national energy systems via a network of digital twins.
• Open-Source and Cloud-Native Simulation Frameworks: The market is witnessing the emergence of open-source and cloud-native frameworks that lower the cost and increase the flexibility of digital twin deployment. A Digital Twin framework for energy transition in gas networks has been developed using open-source tools including QGIS, FreeCAD, and GasNetSim, covering data acquisition through smart meters and GIS mapping, 3D modelling, and hourly simulations of network operation including pressure, flow rate, and gas-quality indicators such as the Wobbe Index. The framework is positioned as providing a robust basis for advanced network management, optimization, and planning, and as offering practical tools to support the energy transition in the gas sector. Schneider Electric’s AGMS operates as a digital twin enabled by a single in-built network asset model supporting medium- and high-pressure networks, geographic asset locations, and large-scale SCADA, GIS, and topology integration, and its Gasunie deployment provides real-time insight, demand forecasting, and flow simulation.

Segmentation Analysis

Network-level digital twins dominate the global market’s strategic value because the regulatory and energy-transition problems that drive adoption integrity management across an entire transmission system, hydrogen blending across a distribution network, and whole-system planning cannot be solved with asset-level models alone. • The global gas network digital twin market is segmented by digital twin type into asset-level digital twins and network-level digital twins. Asset-level twins represent individual compressors, regulators, meter stations, or pressure reduction stations, and they support condition monitoring, performance optimization, and financial analysis including cash flow, net present value, and profitability index.
• Network-level twins represent interconnected infrastructure such as a distribution network or a pipeline system across multiple stations, and they allow operators to monitor pressure, flow rates, and temperature continuously across thousands of kilometres of infrastructure, to simulate market behaviour and its impact on the network, and to recommend consumer-linked actions to maintain security of supply.
• Snam’s virtual twins of its gas pipelines network, storage sites, and LNG terminals are network-level in scope, connecting stakeholders around a simulation of the complex asset network and integrating real-time sensor data for collaborative asset management.
• National Gas’s Network Performance Twin integrates asset-level models into a unified viewer capable of visualising, simulating, and managing the performance and risks of critical gas infrastructure in a hydrogen-enabled environment, and DNV and National Gas envisage connecting it to digital twins of other key infrastructure to manage entire national energy systems.
• The dominance of network-level twins in strategic value reflects the nature of the problem: integrity management, hydrogen blending, and regulatory documentation are system-level obligations, and asset-level twins are components of a network-level solution rather than substitutes for it.

Network planning and simulation is the largest application segment globally because the digital twin’s most distinctive capability is the ability to test scenarios, forecast demand, and evaluate design options before physical implementation, and because regulators and investors require evidence-based planning documentation. • By application, network planning and simulation represents the dominant share, encompassing demand forecasting, capacity planning, hydrogen injection capacity assessment, and scenario analysis for new connections and network reinforcement.
• Fraunhofer ISE’s system development planning for electricity, heating/cooling, and gas/H2 networks uses digital twins and advanced simulation methods to model and optimize grid planning, and the ENA Innovation Portal’s gas system of the future digital twin is designed to simulate market behaviour and its impact on a gas network and recommend the best consumer-linked actions to maintain security of supply.
• The SmartSim-based physics digital twin for hydrogen injection capacity assessment produces a feasible injection time series, an annual load duration curve, and a spatial distribution map of hydrogen concentration, demonstrating the planning value of simulation under regulatory concentration limits.
• Operational monitoring represents a substantial and growing application segment, where digital twins integrate live SCADA and sensor data to detect anomalies, monitor pressure and flow, and support real-time decision-making. Pipeline digital twins combining hydraulic flow models with SCADA real-time pressure and flow data allow controllers to detect anomalies indicating potential leaks or unplanned flow conditions before they become reportable incidents.
• Network optimization represents a specialised but high-value application segment, where simulation is used to identify pressure regulation opportunities, reduce energy loss, and optimize flow rates across distribution zones. Digital twin deployments have documented network optimization algorithms that identify pressure regulation opportunities reducing energy loss by 3–7%, translating to millions in avoided fuel costs annually.

Gas transmission operators are the largest end-user segment globally because they operate the long-distance, high-pressure networks where integrity management obligations are most stringent, where hydrogen blending is being piloted, and where network-level simulation delivers the greatest system-wide value. • By end user, gas transmission operators represent the dominant share, encompassing interstate and intrastate pipeline companies and national transmission system operators. National Gas’s Network Performance Twin and Snam’s network-level virtual twins of pipelines, storage, and LNG terminals are transmission-operator deployments, and PHMSA’s Gas Mega Rule imposes integrity management documentation obligations most heavily on this segment.
• Gas distribution utilities represent the second core end-user group, where digital twins support hydrogen blending in distribution networks, leak detection, pressure management, and network planning. The ENA Innovation Portal’s gas distribution network digital twin explores societal, operational, and cross-industry whole-system benefits, and the Southern Italy case study framework uses smart meter data and GIS mapping for hourly simulation of distribution network operation.
• Integrated gas utilities represent a specialised end-user segment, where digital twins must span transmission, distribution, storage, and LNG assets within a single simulation environment, and where the convergence of gas, hydrogen, and electricity vectors increases model complexity. Snam’s scope pipelines, storage, and LNG terminals illustrates the integrated-utility use case, and the ambition to connect digital twins of different infrastructure to manage entire national energy systems reflects the integrated-system direction.

Regional Analysis

Europe leads in hydrogen-driven network-level digital twin deployment because National Gas and DNV’s FutureGrid programme, Snam’s 3DEXPERIENCE platform deployment, and the EU Gas Directive’s integrity-assessment obligations create an explicit simulation and documentation architecture, while Asia-Pacific leads in market volume growth and North America leads in regulatory-driven integrity management adoption. • Europe is the most advanced market for hydrogen-oriented network-level digital twins. National Gas and DNV’s FutureGrid digital twin uses hundreds of sensors, cloud simulation, and machine learning to manage hydrogen introduction, and DNV and National Gas believe that the best way to manage the complexity that hydrogen brings is through a digital twin covering the system’s whole lifecycle. Snam’s deployment of Dassault Systèmes’ 3DEXPERIENCE platform creates virtual twins of its gas pipelines network, storage sites, and LNG terminals in Italy, and the EU Gas Directive’s integrity-assessment and public-safety-communication obligations create a documentation burden that digital systems address more efficiently than manual processes.
• Asia-Pacific emerged as the dominant regional market by revenue, driven by rapid urbanisation in China and India, where natural gas demand is expanding to support industrial development and reduce coal dependency, and by China’s 14th Five-Year Plan prioritising pipeline safety and monitoring with substantial capital allocated to digital infrastructure upgrades. Indian utilities are deploying digital solutions to manage vast networks across diverse geographic and climatic regions, and the region’s software development and system integration labour advantage has attracted major technology vendors to establish regional development centres.
• North America is a mature, regulatory-driven market where PHMSA’s Gas Mega Rule and mandatory integrity management plans create consistent demand for monitoring and simulation solutions, and where pipeline replacement programmes represent billions in annual capital investment. The region’s utilities face acute infrastructure renewal challenges, with pipelines exceeding 50 years in age representing a substantial share of total infrastructure, and digital twin technology enables continuous structural health monitoring, stress analysis, and corrosion progression modelling without disruptive physical inspections.
• Latin America and the Middle East and Africa are emerging markets where digital twin adoption is tied to network efficiency, theft reduction, and gas infrastructure investment. Latin America’s major gas producers and distributors in Mexico, Brazil, and Argentina are seeking to optimize network efficiency and reduce theft-related losses through real-time monitoring, while the Middle East and Africa region represents high growth potential as governments invest in gas infrastructure to diversify energy exports and improve domestic supply reliability.

Considered in this report
• Historic Year: 2020
• Base year: 2025
• Estimated year: 2026
• Forecast year: 2031

Aspects covered in this report
• Gas Network Digital Twin Market with its value and forecast along with its segments
• Various drivers and challenges
• Ongoing trends and developments
• Top profiled companies
• Strategic recommendations

By Digital Twin Type
• Asset-Level Digital Twins
• Network-Level Digital Twins

By Application
• Network Planning and Simulation
• Operational Monitoring
• Network Optimization

By End-User
• Gas Distribution Utilities
• Gas Transmission Operators
• Integrated Gas Utilities