A REVIEW OF DIGITAL TWIN TECHNOLOGIES AND THEIR APPLICATIONS
Author(s): Pushpa Rani
Publication #: 2606021
Date of Publication: 14.06.2026
Country: India
Pages: 1-8
Published In: Volume 12 Issue 3 June-2026
Abstract
When it comes to Industry 4.0, digital twin technology has been a game-changer. It allows for the construction of virtual versions of real-world products, systems, and processes, which can then be used for optimisation, simulation, and real-time monitoring. Digital twins improve decision-making, predictive maintenance, operational efficiency, and risk management by integrating internet of things (IoT), artificial intelligence (AI), machine learning (ML), cloud computing, big data analytics, and the internet of things (IoT). Manufacturing, healthcare, smart cities, aerospace and defence, automotive, and energy utilities are just a few of the many industries that have discovered uses for digital twin technology, which is defined, built, and explored in this article. The study emphasises the ways in which digital twins help with sustainable development, operational cost reduction, increased system reliability, and productivity. Data security concerns, integration complexity, infrastructure needs, and high deployment costs are some of the primary implementation challenges that are discussed in the document. Also included in the report is an assessment of digital twins' potential for the future in terms of improving industrial processes and developing smart, networked systems. According to the results, digital twin technology is opening up huge opportunities for companies to boost performance, optimise resources, and stay competitive in the long run in a data-driven world. It is also becoming an important driver of digital transformation and innovation across all industries.
Keywords: Digital Twin Technology, Internet of Things (IoT), Artificial Intelligence, Predictive Maintenance, Smart Systems.
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