1Q 2022

Digital Twins for Smart Cities

Digital Twins for Buildings, Municipal Assets, and Smart City Environments

Cities are exceptionally data-rich environments, but a common barrier to taking action with this data is the ability to process and visualize it. Digital twins, which are one-to-one digital recreations of real-world objects or systems, can help translate city data into solutions that improve urban livability. Common in the engineering and manufacturing worlds, city digital twins can render every street, building, tree, and fire hydrant into a photo-realistic digital model that can manage both live and historical data.

Cities can use digital twins to project how change will affect the urban environment and how assets are performing in real time. Many digital twin platforms are built with physics and lighting models that allow them to model scenarios such as how sea level rise will affect a city during a storm or how prevailing air currents will distribute particulate matter from a proposed highway development. Sometimes seen as an iteration of GIS and building information modeling (BIM) systems, digital twins offer cities a foundation for using data to design and enact improvements to the urban landscape.

This Guidehouse Insights report analyzes the global market for digital twins used in the smart city context. The market forecast provides an analysis of market issues, including emerging trends, drivers, and barriers, for the deployment of these software. Global market forecasts are included for five world regions, including breakouts by digital twin type, and extend through 2031.

Pages 41
Tables | Charts | Figures 18
  • What types of digital twins are cities utilizing?
  • How is the deployment of digital twins expected to affect urban development and the municipal IoT market space?
  • What features and integrations are most sought after by cities using digital twins?
  • What are the geographic and policy trends driving the adoption of municipal digital twins?
  • How are the developing IoT and autonomous vehicle landscapes expected to shape the deployments of digital twins?
  • Geospatial software vendors
  • Modeling and simulation software vendors
  • Transportation IoT manufactures and vendors
  • Urban sensor vendors
  • Building operations management system vendors
  • Architects and planners
  • Civil engineering firms
  • Networking and telecommunications vendors
  • Utilities
  • Regulatory community
  • Investor community

1. Executive Summary

1.1      Digital Twins for City Planning and Operations

1.2      Market Trends and Issues

1.3      Market Forecasts

2. Market Issues

2.1      Municipal Digital Twins

2.2      Report Scope and Definitions

2.3      Common Forms of Municipal Digital Twins

2.3.1     Buildings

2.3.2     Assets

2.3.3     Full City Environments

2.4      Common Municipal Use Cases

2.4.1     Urban Planning

2.4.2     Climate Change and Emergency Preparedness

2.4.3     Transportation Management

2.4.4     Pollution Tracking

2.4.5     Transparent Government

2.5      Market Drivers

2.5.1     Cost-Efficient Solutions

2.5.2     Inexpensive Data Capture

2.5.3     Climate Change and Sustainability

2.6      Market Barriers

2.6.1     Lack of Municipal Knowledge

2.6.2     Lack of Digitized Data

2.6.3     Data Size and Handling Challenges

3. Key Industry Players

3.1      ABB

3.2     Autodesk

3.3    AVEVA

3.4    Bentley Systems

3.5    Buildmedia

3.6    Cityzenith

3.7    Dassault Systèmes

3.8    E8IGHT

3.9    Insight Signals

3.10    IES

3.11   Rockwell Automation

3.12   Siemens

3.13   Siradel

4. Market Forecasts

4.1      Scope

4.2      Methodology

4.3      Global Revenue

4.4      Revenue by Twin Type

4.4.1     Building

4.4.2     Asset-Specific

4.4.3     Full City Environment

4.5      Revenue by Geographic Region

4.5.1     North America

4.5.2     Europe

4.5.3     Asia Pacific

4.5.4     Latin America

4.5.5     Middle East & Africa

5. Conclusions and Recommendations

6. Acronym and Abbreviation List

7. Table of Contents

8. Table of Charts and Figures

9. Scope of Study, Sources and Methodology, Notes

  • Annual Municipal Digital Twins Revenue by Region, World Markets: 2022-2031
  • Annual Municipal Digital Twins Revenue by Twin Type, World Markets: 2022-2031
  • Annual Municipal Digital Twins Revenue by Twin Type, World Markets: 2022
  • Annual Municipal Digital Twins Revenue by Twin Type, World Markets: 2031
  • Annual Municipal Digital Twins Revenue by Twin Type, North America: 2022-2031
  • Annual Municipal Digital Twins Revenue by Twin Type, Europe: 2022-2031
  • Annual Municipal Digital Twins Revenue by Twin Type, Asia Pacific: 2022-2031
  • Annual Municipal Digital Twins Revenue by Twin Type, Latin America: 2022-2031
  • Annual Municipal Digital Twins Revenue by Twin Type, Middle East & Africa: 2022-2031
  • The IES Digital Twin Interface
  • Annual Municipal Digital Twins Revenue by Region, World Markets: 2022-2031
  • Cumulative Municipal Digital Twins Revenue by Region, World Markets: 2022-2031
  • Annual Municipal Digital Twins Revenue by Twin Type, World Markets: 2022-2031
  • Annual Municipal Digital Twins Revenue by Twin Type, North America: 2022-2031
  • Annual Municipal Digital Twins Revenue by Twin Type, Europe: 2022-2031
  • Annual Municipal Digital Twins Revenue by Twin Type, Asia Pacific: 2022-2031
  • Annual Municipal Digital Twins Revenue by Twin Type, Latin America: 2022-2031
  • Annual Municipal Digital Twins Revenue by Twin Type, Middle East & Africa: 2022-2031
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