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KSM 24.01.03As buildings are designed, constructed, and occupied, they generate large amounts of data that can increase efficiency and reduce liability. Digital twins are proving effective in utilizing this data by helping designers communicate better with customers, construction teams communicate better with each other, and building operators better anticipate how changing conditions will have an impact on their assets. A digital twin is a digital replica of a real-world asset that offers a real-time reflection of the asset's status. For buildings, this looks like a three-dimensional model of a building's systems and architectural features, and its real-time status from connected sensors and devices.
Building digital twins are just beginning to find their niche in building design, construction, and operations. Of the emerging use cases, perhaps the most notable is digital twins' advanced design, planning, and simulation. Whether measuring a crew's efficiency during construction or the HVAC system's efficiency during a retrofit, the digital twin's data and simulation abilities are invaluable for avoiding mistakes and duplication of efforts, and making the best choices for the building's future. As a younger market, building digital twins face several barriers to growth. Chief among them are the lack of a clear use case in which digital twins are invaluable, poor data, and incompatibilities between a building's hardware and software systems.
This Guidehouse Insights study analyzes the global market for building digital twins. It provides an analysis of market issues, including emerging trends, drivers, and barriers. Global market forecasts, which extend from 2023-2032, are segmented by eight building types and five world regions.