AI in Construction Market by Offering, Deployment Type, Organization Size, Application, Industry Type

Description

List of Tables

[194 Pages Report] The AI in Construction Market size was estimated at USD 695.92 million in 2023 and expected to reach USD 863.67 million in 2024, at a CAGR 24.50% to reach USD 3,226.92 million by 2030.

Global AI in Construction Market

KEY MARKET STATISTICS
Base Year [2023]	USD 695.92 million
Estimated Year [2024]	USD 863.67 million
Forecast Year [2030]	USD 3,226.92 million
CAGR (%)	24.50%

FPNV Positioning Matrix

The FPNV Positioning Matrix is pivotal in evaluating the AI 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 AI 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 AI in Construction Market, highlighting leading vendors and their innovative profiles. These include AirWorks, Alice Technologies, Autodesk, Inc., Brainpool Ltd., BuilderAI, Built Robotics, Caidio, Construction.ai, Dassault Systemes SE, Dusty Robotics, eSUB, Inc., International Business Machines Corporation, Kreo Software Ltd., Kwant.ai, Maket AI, Microsoft Corporation, Nvidia Corporation, Nyfty.ai, OpenSpace, Oracle Coproration, Procore Technologies, PTC Inc., SAP SE, TUV SUD AG, and Versatile AI.

Market Segmentation & Coverage

This research report categorizes the AI in Construction Market to forecast the revenues and analyze trends in each of the following sub-markets:

Offering
- Services
  - Integration & Deployment
  - Support & Maintenance
  - Training & Consulting
- Solutions
  - Demand Forecasting
  - Design & Planning
  - Predictive Maintenance
  - Revenue Estimation
  - Virtual Assistant
Deployment Type
- Cloud
- On-Premises
Organization Size
- Large Enterprises
- Small & Medium-Sized Enterprises (SMEs)
Application
- Field Management
- Project Management
- Risk Management
- Schedule Management
- Supply Chain Management
Industry Type
- Heavy Construction
- Institutional Commercials
- Residential
Region
- Americas
  - Argentina
  - Brazil
  - Canada
  - Mexico
  - United States
    - California
    - Florida
    - Illinois
    - New York
    - Ohio
    - Pennsylvania
    - Texas
- Asia-Pacific
  - Australia
  - China
  - India
  - Indonesia
  - Japan
  - Malaysia
  - Philippines
  - Singapore
  - South Korea
  - Taiwan
  - Thailand
  - Vietnam
- Europe, Middle East & Africa
  - Denmark
  - Egypt
  - Finland
  - France
  - Germany
  - Israel
  - Italy
  - Netherlands
  - Nigeria
  - Norway
  - Poland
  - Qatar
  - Russia
  - Saudi Arabia
  - South Africa
  - Spain
  - Sweden
  - Switzerland
  - Turkey
  - United Arab Emirates
  - United Kingdom

The report offers valuable insights on the following aspects:

1. Market Penetration: It presents comprehensive information on the market provided by key players.

2. Market Development: It delves deep into lucrative emerging markets and analyzes the penetration across mature market segments.

3. Market Diversification: It provides detailed information on new product launches, untapped geographic regions, recent developments, and investments.

4. 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.

5. Product Development & Innovation: It offers intelligent insights on future technologies, R&D activities, and breakthrough product developments.

The report addresses key questions such as:

1. What is the market size and forecast of the AI in Construction Market?

2. Which products, segments, applications, and areas should one consider investing in over the forecast period in the AI in Construction Market?

3. What are the technology trends and regulatory frameworks in the AI in Construction Market?

4. What is the market share of the leading vendors in the AI in Construction Market?

5. Which modes and strategic moves are suitable for entering the AI in Construction Market?

Product Code: MRR-742BD517B1AD

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. AI in Construction Market, by Region

5. Market Insights

5.1. Market Dynamics
- 5.1.1. Drivers
  - 5.1.1.1. Focus on improving production efficiency and safety in the construction sector
  - 5.1.1.2. Government initiatives for the digitalization of construction operations
  - 5.1.1.3. Rising use of artificial intelligence in BIM and renovation
- 5.1.2. Restraints
  - 5.1.2.1. High cost of purchasing and implementing AI technologies
- 5.1.3. Opportunities
  - 5.1.3.1. Increasing investments in smart city development
  - 5.1.3.2. Advancements in AI construction technologies
- 5.1.4. Challenges
  - 5.1.4.1. Concerns associated with data security and privacy breaches
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. AI in Construction Market, by Offering

6.1. Introduction
6.2. Services
- 6.3.1. Integration & Deployment
- 6.3.2. Support & Maintenance
- 6.3.3. Training & Consulting
6.3. Solutions
- 6.4.1. Demand Forecasting
- 6.4.2. Design & Planning
- 6.4.3. Predictive Maintenance
- 6.4.4. Revenue Estimation
- 6.4.5. Virtual Assistant

7. AI in Construction Market, by Deployment Type

7.1. Introduction
7.2. Cloud
7.3. On-Premises

8. AI in Construction Market, by Organization Size

8.1. Introduction
8.2. Large Enterprises
8.3. Small & Medium-Sized Enterprises (SMEs)

9. AI in Construction Market, by Application

9.1. Introduction
9.2. Field Management
9.3. Project Management
9.4. Risk Management
9.5. Schedule Management
9.6. Supply Chain Management

10. AI in Construction Market, by Industry Type

10.1. Introduction
10.2. Heavy Construction
10.3. Institutional Commercials
10.4. Residential

11. Americas AI 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 AI 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 AI 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. AirWorks
- 15.1.2. Alice Technologies
- 15.1.3. Autodesk, Inc.
- 15.1.4. Brainpool Ltd.
- 15.1.5. BuilderAI
- 15.1.6. Built Robotics
- 15.1.7. Caidio
- 15.1.8. Construction.ai
- 15.1.9. Dassault Systemes SE
- 15.1.10. Dusty Robotics
- 15.1.11. eSUB, Inc.
- 15.1.12. International Business Machines Corporation
- 15.1.13. Kreo Software Ltd.
- 15.1.14. Kwant.ai
- 15.1.15. Maket AI
- 15.1.16. Microsoft Corporation
- 15.1.17. Nvidia Corporation
- 15.1.18. Nyfty.ai
- 15.1.19. OpenSpace
- 15.1.20. Oracle Coproration
- 15.1.21. Procore Technologies
- 15.1.22. PTC Inc.
- 15.1.23. SAP SE
- 15.1.24. TUV SUD AG
- 15.1.25. Versatile AI
15.2. Key Product Portfolio

16. Appendix

16.1. Discussion Guide
16.2. License & Pricing