Digital Twin for Construction Market-Size, Share, Trends & Forecast 2030

Digital Twin for Construction Market Data Product Overview

The Digital Twin for Construction Market report examines the evolution of digital twin technologies across construction applications, deployment models, components, technologies, end-user segments, and major geographic regions. The study covers software, hardware, and services, including digital twin platforms, simulation and visualization software, BIM software, IoT sensors and smart devices, drones and LiDAR scanners, edge computing devices, consulting and integration, and support and maintenance. Market development is shaped by increasing urbanization, greater emphasis on green buildings, expanding smart building initiatives, and the integration of AI-driven analytics into digital twin solutions. The research combines primary interviews with industry experts and secondary research from proprietary databases, with market findings presented in aggregated form.

Use Cases

• Market entry sizing: Assess opportunities across digital twin components, including software, hardware, and services, as well as cloud-based and on-premises deployment models.

• Competitive benchmarking: Review the competitive landscape covering Siemens, Dassault Systèmes, Autodesk, AVEVA, Hexagon AB, Trimble, PTC, Ansys, IBM, Microsoft, Oracle, GE Vernova, Bentley Systems, Schneider Electric, ABB, and other participants.

• M&A target screening: Examine a market where collaboration and acquisition are identified as key competitive strategies, with company developments providing context for market consolidation and solution expansion.

• Vendor evaluation: Compare opportunities across design and planning, construction and monitoring, asset management and maintenance, sustainability and energy management, and technologies including AI and machine learning, big data and cloud computing, and blockchain.

Metadata

• Update Frequency: One-time syndicated report.

• Data Source(s): Primary interviews + secondary research from proprietary databases and industry sources, with findings presented in aggregated form.

• Original Publisher of data: Next Move Strategy Consulting

• Geographic coverage: North America, Europe, Asia-Pacific, and Rest of the World (RoW).

• Is historical data "point-in-time": Historical figures are point-in-time as of publication; forecast years are projections.

• Data Set(s) Format(s): PDF / Excel

• Raw or scraped data: No syndicated analyst research.

• Number of companies/brands covered: 15 Companies.

Key Data Points

• Urbanization and smart infrastructure demand: Rapid urban development is increasing the need for advanced digital models that support infrastructure planning, project coordination, and resource management.

• Growing demand for green buildings: Stronger emphasis on sustainable construction is increasing demand for digital twin solutions that can support energy efficiency, resource optimization, and waste reduction.

• Innovation in smart buildings: Advances in IoT, AI, machine learning, and connected building solutions are supporting wider use of digital twins for planning, monitoring, optimization, and infrastructure lifecycle management.

Pricing Information

Pricing is provided through the applicable AWS Data Exchange offer.

Regulatory and Compliance Information

This report is built from aggregated, publicly available, and licensed secondary sources plus expert interviews conducted on an aggregated basis. It contains no individually identifiable personal data.

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