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India's infrastructure expansion is leading to increased demand for digital twin technology, according to Bentley Systems. The company noted that large and complex projects across transport, utilities and urban development are encouraging the use of data-driven tools. Digital twins help improve planning, execution and long-term asset management through real-time monitoring and predictive insights. Interest is rising among both government bodies and private developers. However, issues such as data integration, lack of standardisation and shortage of skilled professionals continue to limit faster adoption across the sector.
India's ongoing infrastructure development is creating strong demand for digital twin technology, with Bentley Systems highlighting that the scale and complexity of projects are pushing stakeholders to adopt more advanced digital tools. The company indicated that sectors such as roads, railways, airports, water systems and urban infrastructure are increasingly relying on data-based systems to improve efficiency.
Digital twins, which are virtual models of physical assets, are being used to support planning, construction and ongoing operations. These models allow project teams to track performance, identify risks early and improve decision-making using real-time and historical data. This becomes important in large projects where coordination between multiple agencies and contractors is required.
Bentley Systems noted that India's infrastructure pipeline, supported by government-led investments and urban development programmes, is a key driver behind this demand. The shift towards smarter infrastructure management is also linked to the need for better lifecycle monitoring, cost control and timely execution of projects. Digital twins help reduce delays, improve asset performance and bring more transparency in project execution.
The company further indicated that adoption is being seen across both public sector projects and private developments. Smart city initiatives and large-scale infrastructure programmes are encouraging the use of such technologies to manage assets more efficiently over the long term.
At the same time, certain challenges continue to affect wider implementation. These include the need for reliable and standardised data, integration across different platforms and a shortage of trained professionals who can manage such systems. The lack of interoperability between tools can also slow down decision-making in complex projects.
Industry observations in the past have shown that digital twins can help move infrastructure management from a reactive approach to a more predictive one. This allows operators to anticipate maintenance needs, reduce operational costs and improve overall system performance. Bentley Systems has also been working on combining artificial intelligence with digital twin platforms to further enhance capabilities in infrastructure management.
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