Report Content
Chapter 1 Methodology & Scope
1.1 Market scope & definition
1.2 Base estimates & calculations
1.3 Forecast calculation
1.4 Data Sources
1.4.1 Primary
1.4.2 Secondary
1.4.2.1 Paid sources
1.4.2.2 Public sources
Chapter 2 Executive Summary
2.1 AI in construction market 3600 synopsis, 2018 - 2032
2.2 Business trends
2.2.1 Total Addressable Market (TAM), 2023-2032
2.3 Regional trends
2.4 Component trends
2.5 Deployment model trends
2.6 Organization size trends
2.7 Application trends
2.8 End-user
Chapter 3 AI in Construction Market Industry Insights
3.1 Impact on COVID-19
3.2 Russia- Ukraine war impact
3.3 Industry ecosystem analysis
3.4 Vendor matrix
3.5 Profit margin analysis
3.6 Technology & innovation landscape
3.7 Patent analysis
3.8 Key news and initiatives
3.9 Regulatory landscape
3.10 Impact forces
3.10.1 Growth drivers
3.10.1.1 Growing interest towards cost and time efficient operation
3.10.1.2 Surging investment on advanced technology including AI, ML & IoT
3.10.1.3 Surging automation in commercial building
3.10.1.4 Government investment on smart city projects
3.10.1.5 Enhancing overall safety in construction operations
3.10.2 Industry pitfalls & challenges
3.10.2.1 Data safety and security issues
3.11 Growth potential analysis
3.12 Porter’s analysis
3.13 PESTEL analysis
Chapter 4 Competitive Landscape, 2022
4.1 Introduction
4.2 Company market share, 2022
4.3 Competitive analysis of major market players, 2022
4.3.1 Microsoft Corporation
4.3.2 IBM Corporation
4.3.3 Oracle Corporation
4.3.4 SAP SE
4.3.5 NVIDIA Corporation
4.3.6 Dassault Systems SE
4.3.7 Autodesk, Inc.
4.4 Competitive positioning matrix, 2022
4.5 Strategic outlook matrix, 2022
Chapter 5 AI in Construction Market Estimates & Forecast, By Component (Revenue)
5.1 Key trends, by component
5.2 Solution
5.3 Service
Chapter 6 AI in Construction Market Estimates & Forecast, By Deployment Model (Revenue)
6.1 Key trends, by deployment model
6.2 On-premises
6.3 Cloud
Chapter 7 AI in Construction Market Estimates & Forecast, By Organization Size (Revenue)
7.1 Key trends, by organization size
7.2 SME’s
7.3 Large enterprises
Chapter 8 AI in Construction Market Estimates & Forecast, By Application (Revenue)
8.1 Key trends, by application
8.2 Project management
8.3 Field management
8.4 Risk management
8.5 Asset management
Chapter 9 AI in Construction Market Estimates & Forecast, By End-User (Revenue)
9.1 Key trends, by end-user
9.2 Residential
9.3 Commercial
9.4 Industrial
9.5 Public infrastructure
Chapter 10 AI in Construction Market, By Region
10.1 Key trends, by region
10.2 North America
10.2.1 U.S.
10.2.2 Canada
10.3 Europe
10.3.1 UK
10.3.2 Germany
10.3.3 France
10.3.4 Italy
10.3.5 Spain
10.3.6 Netherlands
10.4 Asia Pacific
10.4.1 China
10.4.2 India
10.4.3 Japan
10.4.4 Australia New Zealand
10.4.5 South Korea
10.5 Latin America
10.5.1 Brazil
10.5.2 Mexico
10.5.3 Argentina
10.6 MEA
10.6.1 South Africa
10.6.2 UAE
10.6.3 Saudi Arabia
Chapter 11 Company Profiles
11.1 Alice Technologies Inc.
11.2 Autodesk,Inc.
11.3 Bentley Systems Inc.
11.4 Dassault Systemes SE
11.5 Doxel Inc.
11.6 eSub Inc.
11.7 IBM Corporation
11.8 Lurtis Rules, S.L.
11.9 Microsoft Corporation
11.10 NVIDIA Corporation
11.11 Oracle Corporation
11.12 Predii
11.13 PTC Inc.
11.14 SAP SE
11.15 Smartvid.io Inc
