Digital-twin adoption in India’s rail sector is gradually making its presence felt across asset management, infrastructure planning, predictive maintenance, construction monitoring and operator training.While large-scale deployments of digital twins are still evolving, Nipun Dumpala, a Senior Technical Lead specialising in digital twins, synthetic data, simulation and mixed reality technologies, points out that several organisations are exploring BIM-integrated digital twins, IoT-enabled monitoring, AI-based analytics and simulation platforms to improve operational efficiency and reduce lifecycle costs.Twins at workDrawing from his work, Dumpala points out how a digital twin of an electric locomotive enabled engineers and technicians to interactively identify components, understand assembly structures and perform maintenance procedures within a virtual environment. This significantly improved training effectiveness while reducing dependence on physical assets.Virtual reality-based loco pilot training modules for the Kavach Train Collision Avoidance System used immersive simulation to familiarise railway personnel with operational workflows, emergency scenarios and safety procedures. “Integrating digital twins with mixed reality and virtual reality provides a safe environment for repeated practice, enabling operators to gain hands-on experience before working with live systems,” says Dumpala.AI-powered co-pilots integrated with digital twins could further transform railway operations by providing technicians and operators with real-time guidance during inspection and maintenance tasks.The BIM pushIndia’s rapidly growing adoption of digital-twin technology in the rail sector is largely riding on the back of BIM mandates on flagship projects, says Aaditya Kothari, Regional Rail Engineering Manager, Middle East & South Asia, Egis. The Delhi-Meerut RRTS corridor and the Mumbai-Ahmedabad Bullet Train project are among the clearest examples, with structural health monitoring, earthquake detection and wind/rail-temperature sensing already feeding into their asset management approach – the building blocks of a true digital twin.Essentially, India’s entire rail ecosystem, encompassing Indian Railways, high-speed rail corridors and modern metro networks, is rapidly transitioning from static 3D BIM models to dynamic and connected digital twins.Research at Geospatial World has consistently demonstrated that BIM creates measurable value across the project lifecycle by delivering average project cost savings of $ 15 million with 27.5 per cent faster design completion.Building on this foundation, the industry is increasingly moving from integrated BIM environments representing Level 1 and Level 2 to Level 3 (Connected) and Level 4 (Predictive) digital twins by embedding geospatial intelligence, IoT sensors and real-time operational data.As an example, Ananya Narain, Vice President - Consulting, Geospatial World, cites the Mumbai-Ahmedabad High-Speed Rail project. “Through its use of a digital twin framework embedded with 5G-enabled sensors for scan-to-BIM modelling, station optimisation and real-time structural monitoring, this project demonstrates the benefits of the technology.”Future outlookContractual and specification mandates, not just aspiration, would drive wider adoption, says Kothari. “BIM Level 2-equivalent requirements need to explicitly carry through into digital twin handover requirements: data standards, naming conventions and asset tagging specified at tender stage, not retrofitted later.”At present, he notes, “a lot of ‘digital-twin readiness’ depends on individual project teams pushing for it rather than it being a contractual deliverable.”To fully scale digital-twin technology across the country’s vast rail network, standardised data frameworks and interoperability must be prioritised, says Narain. “Establishing unified national open-data standards (such as IFC formats or open BIM/geospatial standards) will ensure seamless integration between legacy systems and new vendor technologies, eventually enabling separate assets to link into a single, federated digital twin.”In parallel, digital-twin policy think tank-led initiatives, including Digital Twin Strategy for Infrastructure by Geospatial World and policy initiatives led by Niti Aayog, represent an important step towards establishing a coordinated governance framework and accelerating nationwide adoption.Additionally, “accelerating adoption requires a strong focus on capacity building, coupled with robust cybersecurity policies to protect the real-time data streams of critical national infrastructure,” adds Narain.Insofar as public procurement is concerned, she says, “Incorporating digital-twin mandates directly into the early bidding and tendering phases will ensure that technology is budgeted from Day 1.”As adoption matures, Narain sees digital twins enabling the continuous monitoring of the construction progress, predictive maintenance of critical assets and operational simulations that enhance network resilience, optimise signalling and improve passenger safety.Digital-twin technology in practice: Line planningThe Taranga Hill-Ambaji-Abu Road project is a 116.65-km, ₹2,798-crore broad gauge railway line under construction in Gujarat and Rajasthan. In March 2026, Matrix Geo Solutions was awarded a project to deploy digital-twin modelling to support the planning of this line.“We were brought onboard to create a comprehensive digital representation of the entire site, enabling accurate planning, monitoring and long-term asset management,” explains Rahul Jain, Managing Director, Matrix Geo Solutions.Given the terrain’s elevation changes and the religious significance of the location, he explains, “Conventional surveying alone would not have provided the level of visualisation and analytical capability required.”Among the key challenges, Jain lists the complex terrain, varying elevations, dense vegetation in certain areas and changing weather conditions, which required meticulous flight planning and high-precision data acquisition.Using Matrix Geo’s integrated geospatial workflow that combines drone-based LiDAR, high-resolution photogrammetry, GIS, BIM-compatible datasets and Cloud-based visualisation technologies, the team developed a digital twin that captures the terrain, infrastructure, access roads, slopes and surrounding environment on a single intelligent 3D platform. Integrating multiple industry-leading technologies helped create a more accurate and scalable digital twin but also threw up integration challenges.Today, all the stakeholders can visualise the project virtually before execution, optimise design decisions and maintain a reliable digital record throughout the project lifecycle besides reducing interpretation errors, improving coordination and enabling periodic drone-based progress monitoring.Jain firmly believes that digital twins aren’t merely 3D models – they are intelligent decision-support systems that bridge the gap between the physical and digital worlds.Digital twin technology: What does it cost?Digital-twin deployment costs vary significantly depending on project scope. A pilot implementation for a station or limited corridor may range from ₹ 50 lakh to ₹2 crore, while enterprise-scale deployments covering multiple assets with IoT integration, AI analytics and Cloud infrastructure can extend to several crores, according to Nipun Dumpala, a Senior Technical Lead specialising in digital twins, synthetic data, simulation and mixed reality technologies.According to Aaditya Kothari, Regional Rail Engineering Manager, Middle East & South Asia, Egis, “There isn’t a clean industry figure because in India, digital-twin capability is rarely procured as a standalone line item. It’s usually embedded within BIM/design-management consultancy scopes, systems integration contracts or asset management software licensing.”“As a rough order of magnitude, based on comparable large infrastructure programmes globally, digital-twin platform development (data architecture, integration, dashboarding) tends to run in the low single-digit percentage of total project design cost, with ongoing platform /licensing and data management costs layered on top once operational.”Kothari points out that the bigger cost driver isn’t the software; it’s the discipline of clean, structured data capture during design and construction. Skip that, he says, and the ‘twin’ has to be reverse-engineered later, at far greater expense.How NCRTC is powering the Delhi-Ghaziabad-Meerut Namo Bharat with digital-twin technologyNCRTC is developing a digital-twin ecosystem to enhance operations, lifecycle management and predictive maintenance for India’s first Namo Bharat project.The project’s target is to achieve Level 4 maturity on the digital-twin scale, where predictive and prescriptive analytics guide maintenance and operations, and Level 5 readiness, which allows eventual self-learning and autonomous decision-making.The solution is being developed at NCRTC’s Aparimit Lab at Duhai Depot, with final deployment planned on NCRTC’s on-premises infrastructure.Some of the technologies integrated for the digital twin are BIM, Systematic Program Evaluation for Efficient Delivery of Project (SPEED) platform for comprehensive project management and monitoring, Common Data Environment, a Cloud-based platform functioning as a single source of truth, Continuous Operating Reference Station to provide real time, accurate coordinates of any point within the geographical limits of the network, European Train Control System Hybrid Level 3 over an LTE 4G communication network, and Integrated Real-Time Enterprise Asset Management System (iDREAMS) for asset management.A Proof of Concept has been initiated to establish a comprehensive Level 4 digital-twin ecosystem for the Sahibabad-Anand Vihar section of the Delhi-Meerut Namo Bharat RRTS Corridor. Six asset families are being covered: track infrastructure, overhead electrification, rolling stock, station facilities, civil structures, and signalling and telecommunications. More than 1,500 IoT sensors across these stations with hundreds more threaded along the connecting viaduct and tunnel talk to the twin over a mix of LoRaWAN, NB-IoT, 4G/5G and wired protocols.Each sensor reads something seemingly quite ordinary: rail temperature and strain, track and bogie vibration, acoustic signatures that betray a hairline crack or a failing bearing, catenary wire wear, OHE voltage and current, turnout position, air quality inside tunnels, crack width on bridges, and load or vibration on lifts and escalators. However, when these seemingly inconsequential readings are fused together, the proposed digital twin will be able to distinguish normal wear from developing faults.The way forwardBIM mandates on flagship projects are largely helping the industry move from integrated BIM environments representing Level 1 and Level 2 to Level 3 (Connected) and Level 4 (Predictive) digital twins.Contractual and specification mandates are needed to further drive the adoption of digital-twin technology in the rail sector.Integrating digital twins with mixed reality and virtual reality and AI could enhance the level of training and maintenance support the technology can provide.To fully scale digital-twin technology across the country’s vast rail network, standardised data frameworks and interoperability must be prioritised.A strong focus on capacity building coupled with robust cybersecurity policies is a must to secure real-time data of critical national infrastructure.Quick BytesRailways adopt twins across asset lifecycles BIM, sensors and AI enable prediction Projects support planning, training, maintenance NCRTC targets Level 4 maturity Scaling needs mandates, standards, cybersecurity