Artificial Intelligence in Construction Market by Component (Service, Solution), Capabilities (Asset Management, Project Management, Risk Management), Construction Stage, Deployment Type, Application - Global Forecast 2024-2030
The Artificial Intelligence in Construction Market size was estimated at USD 1.52 billion in 2023 and expected to reach USD 1.92 billion in 2024, at a CAGR 27.67% to reach USD 8.42 billion by 2030.
FPNV Positioning Matrix
The FPNV Positioning Matrix is pivotal in evaluating the Artificial Intelligence in Construction Market. It offers a comprehensive assessment of vendors, examining key metrics related to Business Strategy and Product Satisfaction. This in-depth analysis empowers users to make well-informed decisions aligned with their requirements. Based on the evaluation, the vendors are then categorized into four distinct quadrants representing varying levels of success: Forefront (F), Pathfinder (P), Niche (N), or Vital (V).
Market Share Analysis
The Market Share Analysis is a comprehensive tool that provides an insightful and in-depth examination of the current state of vendors in the Artificial Intelligence in Construction Market. By meticulously comparing and analyzing vendor contributions in terms of overall revenue, customer base, and other key metrics, we can offer companies a greater understanding of their performance and the challenges they face when competing for market share. Additionally, this analysis provides valuable insights into the competitive nature of the sector, including factors such as accumulation, fragmentation dominance, and amalgamation traits observed over the base year period studied. With this expanded level of detail, vendors can make more informed decisions and devise effective strategies to gain a competitive edge in the market.
Key Company Profiles
The report delves into recent significant developments in the Artificial Intelligence in Construction Market, highlighting leading vendors and their innovative profiles. These include ALICE Technologies Inc., Askporter, Autodesk Inc., Bentley Systems Inc., buildAI, COINS Global by The Access Group, Dassault Systèmes S.E, Deepomatic, Doxel Inc., eSUB, Inc., IBM Corporation, Invonto LLC, NVIDIA Corporation, Oracle Corporation, PTC Inc., Renoworks Software Inc., SAP SE, SmartInside AI Inc., and TAVCO Services, Inc..
Market Segmentation & Coverage
This research report categorizes the Artificial Intelligence in Construction Market to forecast the revenues and analyze trends in each of the following sub-markets:
Component
Service
Asset Management
Construction-Stage
On-Cloud
Commercial
Americas
Argentina
California
Australia
Denmark
The report offers valuable insights on the following aspects:
- Market Penetration: It presents comprehensive information on the market provided by key players.
- Market Development: It delves deep into lucrative emerging markets and analyzes the penetration across mature market segments.
- Market Diversification: It provides detailed information on new product launches, untapped geographic regions, recent developments, and investments.
- Competitive Assessment & Intelligence: It conducts an exhaustive assessment of market shares, strategies, products, certifications, regulatory approvals, patent landscape, and manufacturing capabilities of the leading players.
- Product Development & Innovation: It offers intelligent insights on future technologies, R&D activities, and breakthrough product developments.
- What is the market size and forecast of the Artificial Intelligence in Construction Market?
- Which products, segments, applications, and areas should one consider investing in over the forecast period in the Artificial Intelligence in Construction Market?
- What are the technology trends and regulatory frameworks in the Artificial Intelligence in Construction Market?
- What is the market share of the leading vendors in the Artificial Intelligence in Construction Market?
- Which modes and strategic moves are suitable for entering the Artificial Intelligence in Construction Market?
Note: PDF & Excel + Online Access - 1 Year
- 1. Preface
- 1.1. Objectives of the Study
- 1.2. Market Segmentation & Coverage
- 1.3. Years Considered for the Study
- 1.4. Currency & Pricing
- 1.5. Language
- 1.6. Limitations
- 1.7. Assumptions
- 1.8. Stakeholders
- 2. Research Methodology
- 2.1. Define: Research Objective
- 2.2. Determine: Research Design
- 2.3. Prepare: Research Instrument
- 2.4. Collect: Data Source
- 2.5. Analyze: Data Interpretation
- 2.6. Formulate: Data Verification
- 2.7. Publish: Research Report
- 2.8. Repeat: Report Update
- 3. Executive Summary
- 4. Market Overview
- 4.1. Introduction
- 4.2. Artificial Intelligence in Construction Market, by Region
- 5. Market Insights
- 5.1. Market Dynamics
- 5.1.1. Drivers
- 5.1.1.1. Rise in building and construction activities worldwide
- 5.1.1.2. Demand to improve project efficiency and productivity of construction processes
- 5.1.1.3. Utilization of predictive analytics for project planning and risk mitigation
- 5.1.2. Restraints
- 5.1.2.1. High initial investment and implementation of AI systems in construction
- 5.1.3. Opportunities
- 5.1.3.1. Significant advancements in AI technology
- 5.1.3.2. Emerging use for real-time monitoring and analysis of construction sites
- 5.1.4. Challenges
- 5.1.4.1. Data breach and privacy concerns associated with the use of AI technology in construction
- 5.2. Market Segmentation Analysis
- 5.3. Market Trend Analysis
- 5.4. Cumulative Impact of High Inflation
- 5.5. Porter’s Five Forces Analysis
- 5.5.1. Threat of New Entrants
- 5.5.2. Threat of Substitutes
- 5.5.3. Bargaining Power of Customers
- 5.5.4. Bargaining Power of Suppliers
- 5.5.5. Industry Rivalry
- 5.6. Value Chain & Critical Path Analysis
- 5.7. Regulatory Framework
- 6. Artificial Intelligence in Construction Market, by Component
- 6.1. Introduction
- 6.2. Service
- 6.3. Solution
- 7. Artificial Intelligence in Construction Market, by Capabilities
- 7.1. Introduction
- 7.2. Asset Management
- 7.3. Project Management
- 7.4. Risk Management
- 7.5. Schedule Management
- 7.6. Supply Chain Management
- 8. Artificial Intelligence in Construction Market, by Construction Stage
- 8.1. Introduction
- 8.2. Construction-Stage
- 8.3. Post-Construction
- 8.4. Pre-Construction
- 9. Artificial Intelligence in Construction Market, by Deployment Type
- 9.1. Introduction
- 9.2. On-Cloud
- 9.3. On-Premises
- 10. Artificial Intelligence in Construction Market, by Application
- 10.1. Introduction
- 10.2. Commercial
- 10.3. Public Infrastructure
- 10.4. Residential
- 11. Americas Artificial Intelligence in Construction Market
- 11.1. Introduction
- 11.2. Argentina
- 11.3. Brazil
- 11.4. Canada
- 11.5. Mexico
- 11.6. United States
- 12. Asia-Pacific Artificial Intelligence in Construction Market
- 12.1. Introduction
- 12.2. Australia
- 12.3. China
- 12.4. India
- 12.5. Indonesia
- 12.6. Japan
- 12.7. Malaysia
- 12.8. Philippines
- 12.9. Singapore
- 12.10. South Korea
- 12.11. Taiwan
- 12.12. Thailand
- 12.13. Vietnam
- 13. Europe, Middle East & Africa Artificial Intelligence in Construction Market
- 13.1. Introduction
- 13.2. Denmark
- 13.3. Egypt
- 13.4. Finland
- 13.5. France
- 13.6. Germany
- 13.7. Israel
- 13.8. Italy
- 13.9. Netherlands
- 13.10. Nigeria
- 13.11. Norway
- 13.12. Poland
- 13.13. Qatar
- 13.14. Russia
- 13.15. Saudi Arabia
- 13.16. South Africa
- 13.17. Spain
- 13.18. Sweden
- 13.19. Switzerland
- 13.20. Turkey
- 13.21. United Arab Emirates
- 13.22. United Kingdom
- 14. Competitive Landscape
- 14.1. FPNV Positioning Matrix
- 14.2. Market Share Analysis, By Key Player
- 14.3. Competitive Scenario Analysis, By Key Player
- 15. Competitive Portfolio
- 15.1. Key Company Profiles
- 15.1.1. ALICE Technologies Inc.
- 15.1.2. Askporter
- 15.1.3. Autodesk Inc.
- 15.1.4. Bentley Systems Inc.
- 15.1.5. buildAI
- 15.1.6. COINS Global by The Access Group
- 15.1.7. Dassault Systèmes S.E
- 15.1.8. Deepomatic
- 15.1.9. Doxel Inc.
- 15.1.10. eSUB, Inc.
- 15.1.11. IBM Corporation
- 15.1.12. Invonto LLC
- 15.1.13. NVIDIA Corporation
- 15.1.14. Oracle Corporation
- 15.1.15. PTC Inc.
- 15.1.16. Renoworks Software Inc.
- 15.1.17. SAP SE
- 15.1.18. SmartInside AI Inc.
- 15.1.19. TAVCO Services, Inc.
- 15.2. Key Product Portfolio
- 16. Appendix
- 16.1. Discussion Guide
- 16.2. License & Pricing
- FIGURE 1. ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET RESEARCH PROCESS
- FIGURE 2. ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, 2023 VS 2030
- FIGURE 3. ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, 2018-2030 (USD MILLION)
- FIGURE 4. ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY REGION, 2023 VS 2030 (%)
- FIGURE 5. ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY REGION, 2023 VS 2024 VS 2030 (USD MILLION)
- FIGURE 6. ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET DYNAMICS
- FIGURE 7. ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY COMPONENT, 2023 VS 2030 (%)
- FIGURE 8. ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY COMPONENT, 2023 VS 2024 VS 2030 (USD MILLION)
- FIGURE 9. ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY CAPABILITIES, 2023 VS 2030 (%)
- FIGURE 10. ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY CAPABILITIES, 2023 VS 2024 VS 2030 (USD MILLION)
- FIGURE 11. ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY CONSTRUCTION STAGE, 2023 VS 2030 (%)
- FIGURE 12. ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY CONSTRUCTION STAGE, 2023 VS 2024 VS 2030 (USD MILLION)
- FIGURE 13. ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY DEPLOYMENT TYPE, 2023 VS 2030 (%)
- FIGURE 14. ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY DEPLOYMENT TYPE, 2023 VS 2024 VS 2030 (USD MILLION)
- FIGURE 15. ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY APPLICATION, 2023 VS 2030 (%)
- FIGURE 16. ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY APPLICATION, 2023 VS 2024 VS 2030 (USD MILLION)
- FIGURE 17. AMERICAS ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
- FIGURE 18. AMERICAS ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
- FIGURE 19. UNITED STATES ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY STATE, 2023 VS 2030 (%)
- FIGURE 20. UNITED STATES ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY STATE, 2023 VS 2024 VS 2030 (USD MILLION)
- FIGURE 21. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
- FIGURE 22. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
- FIGURE 23. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
- FIGURE 24. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
- FIGURE 25. ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET, FPNV POSITIONING MATRIX, 2023
- FIGURE 26. ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SHARE, BY KEY PLAYER, 2023
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