Digital Twin In Construction Global Market Report 2025

The digital twin in construction market size has grown rapidly in recent years. It will grow from $41.98 billion in 2024 to $49.35 billion in 2025 at a compound annual growth rate (CAGR) of 17.6%. The growth during the historic period can be attributed to factors such as the rising demand for more efficient construction processes, the growing need for real-time data monitoring, an increased focus on sustainability and energy efficiency, a higher demand for predictive maintenance solutions, and a greater emphasis on asset management and lifecycle optimization.

The digital twin in construction market size is expected to see rapid growth in the next few years. It will grow to $93.53 billion in 2029 at a compound annual growth rate (CAGR) of 17.3%. The growth in the forecast period can be attributed to the increasing interest in digital transformation across industries, the growing adoption of cloud-based platforms for data management, a rising focus on improving construction safety and risk management, a greater demand for operational optimization in facility management, and the growing emphasis on sustainable construction practices. Key trends expected in the forecast period include innovation in cloud-based digital twin platforms, integration of augmented reality (AR) with digital twins for improved visualization, advancements in automation and robotics for construction site operations, integration of blockchain technology for secure data management, and progress in data interoperability between digital twin platforms.

The increasing adoption of IoT and big data is expected to drive the growth of the digital twin in the construction market moving forward. IoT, which involves a network of connected devices that gather and share data, and big data, which focuses on processing and analyzing large, complex datasets, play a crucial role in enhancing real-time decision-making. These technologies allow businesses to leverage vast amounts of data for faster, more data-driven insights. In the context of digital twins in construction, IoT and big data provide real-time data from sensors, enabling the creation of virtual models of physical assets. This integration improves monitoring, prediction, and optimization, leading to enhanced efficiency and cost savings in construction projects. For example, in December 2023, Ericsson reported that global IoT connections reached 3.4 billion, with expectations to grow to 6.7 billion by 2029. Additionally, the SODA Foundation highlighted a threefold increase in data growth, from 700 TB in 2021 to 2,208 TB in 2022. Thus, the growing adoption of IoT and big data is fueling the expansion of digital twins in the construction market.

Leading firms in the digital twin construction sector are concentrating on the development of sophisticated solutions, such as digital replica platforms, to facilitate predictive analytics that boost project efficiency and decision-making. A digital replica platform refers to a real-time virtual model of a physical object, system, or process, used for analysis, monitoring, and improvement through digital data and insights. For example, in May 2024, the Hong Kong University of Science and Technology (HKUST), a research university based in Hong Kong, unveiled the first city-wide AI-driven digital twin platform for heritage buildings. This system incorporates cutting-edge technologies including generative AI, 3D modeling, IoT, satellite remote sensing, and large language models to produce precise digital replicas and support intelligent monitoring and protection of heritage structures across all 18 districts. It enables real-time environmental tracking, predictive maintenance, energy efficiency, and interactive data access, with the goal of enhancing the preservation, management, and resilience of Hong Kong’s rich architectural heritage against threats including severe weather and fire.

In May 2023, Anser Advisory, a U.S.-based firm specializing in program management, project controls, and advisory services, acquired Gafcon Digital for an undisclosed sum. The acquisition was intended to strengthen Anser Advisory’s digital capabilities, boost operational performance, and broaden its range of services. It also created technological synergies, positioning Anser Advisory to compete more effectively in the expanding digital infrastructure market. Gafcon Digital is a U.S.-based company that specializes in digital twin technology for buildings and infrastructure.

Major players in the digital twin in construction market are Microsoft Corporation, Amazon Web Services Inc., Siemens AG, Cisco Systems Inc., Oracle Corporation, NVIDIA Corporation, Rockwell Automation Inc., Dassault Systemes SE, Hexagon AB, Autodesk Inc., Trimble Inc., Ansys Inc., PTC Inc., AVEVA Group plc, Bentley Systems Incorporated, Granlund Oy, Matterport Inc., DBM Vircon, Cupix Inc., Bosch Sicherheitssysteme GmbH, Invicara Inc., SiteAware Ltd., and Twinzo s.r.o.

North America was the largest region in the digital twin in the construction market in 2024. The regions covered in digital twin in construction report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa.

The countries covered in the digital twin in construction market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

A digital twin in construction refers to a virtual representation of a physical building or infrastructure, utilizing real-time data and sensors to simulate, monitor, and optimize its performance throughout its entire lifecycle. This technology enhances decision-making, boosts efficiency, reduces costs, and predicts maintenance needs by mirroring real-world conditions digitally.

The key components of digital twins in construction are software and hardware. Digital twin software includes 3D modeling, simulation, and analytics tools that integrate real-time data to visualize designs, track progress, and optimize decision-making throughout the project's lifecycle. The two primary types of digital twins are the informative twin and the autonomous twin. These are used in various applications, such as resource management and logistics, safety monitoring, product design and optimization, quality management, and predictive maintenance. These solutions are adopted by a wide range of end-users, including architects, engineers, contractors, builders, facility managers, urban planners, and developers.

The digital twin in construction market research report is one of a series of new reports that provides digital twin in construction market statistics, including the digital twin in construction industry global market size, regional shares, competitors with the digital twin in construction market share, detailed digital twin in construction market segments, market trends, and opportunities, and any further data you may need to thrive in the digital twin in construction industry. This digital twin in construction market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenarios of the industry.

The digital twin in construction market consists of revenues earned by entities by providing services such as 3D modeling, real-time data integration, simulation, predictive analytics, asset monitoring, and lifecycle management of construction projects and infrastructure. The market value includes the value of related goods sold by the service provider or included within the service offering. The digital twin in the construction market includes sales of data visualization tools, simulation engines, and edge computing devices. Values in this market are ‘factory gate’ values, that is, the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).

The revenues for a specified geography are consumption values and are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

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