Artificial Intelligence in Construction Market By Offerings, By Deployment Type, By Organization Size (Small and Medium-sized Enterprises, Large enterprises), By Industry Type : Global Opportunity Analysis and Industry Forecast, 2021-2031

List of Tables

The global artificial intelligence in construction market is envisioned to garner $8,545.80 million by 2031, growing from $496.40 million in 2021 at a CAGR of 34.1% from 2022 to 2031.

The primary driver of artificial intelligence's growth in the construction industry is the increase in demand for this technology as it boosts productivity while saving time and money. In addition, the increased use of robots, drones, and other automated vehicles to map and survey construction projects and take aerial photos of construction sites is anticipated to create lucrative new market growth potential throughout the course of the projection period.

Maintaining a robot can be enormously expensive since they are extremely complex machines that require enormous costs to repair and maintain. Outside of the programming that is contained in their internal circuits and firmware, they are unable to behave any differently. Nothing can match the originality of the human mind. A machine cannot think creatively beyond the box, yet humans generate thousands of unique ideas daily. This factor is restraining the market growth.

Rapid technological innovations and research & developments with respect to artificial intelligence in the construction sector is estimated to generate excellent growth opportunities. For example, in March 2020, Newmetrix's construction-trained AI engine named "Vinnie" was updated with new capabilities such as new work at height dangers, the ability to see different stages of building, and the ability to identify employees in a group. Such technological developments convince businesses to use artificial intelligence at construction sites to reduce health hazards, enhance job quality, and reduce operational costs, which is predicted to accelerate artificial intelligence in construction market growth in the upcoming years.

The complete shutdown of construction activities as well as economic uncertainties caused by the COVID-19 pandemic has negatively impacted artificial intelligence in construction market growth. The social distancing norms and fear of COVID-19 virus spread among workers have negatively impacted the construction sector leading to slow growth. These factors have impacted the artificial intelligence in construction market size during the pandemic and the market is estimated to show speedy growth post-pandemic times.

The key players profiled in this report include Deepomatic, COINS Global, Beyond Limits Inc., Doxel, askporter, Autodesk, Inc., Renoworks Software, Inc., Building System Planning, Inc., Bentley Systems, Incorporated, and Predii.

Key Benefits For Stakeholders

This report provides a quantitative analysis of the market segments, current trends, estimations, and dynamics of the artificial intelligence in construction market analysis from 2021 to 2031 to identify the prevailing artificial intelligence in construction market opportunities.
The market research is offered along with information related to key drivers, restraints, and opportunities.
Porter's five forces analysis highlights the potency of buyers and suppliers to enable stakeholders make profit-oriented business decisions and strengthen their supplier-buyer network.
In-depth analysis of the artificial intelligence in construction market segmentation assists to determine the prevailing market opportunities.
Major countries in each region are mapped according to their revenue contribution to the global market.
Market player positioning facilitates benchmarking and provides a clear understanding of the present position of the market players.
The report includes the analysis of the regional as well as global artificial intelligence in construction market trends, key players, market segments, application areas, and market growth strategies.

Key Market Segments

By Offerings

Solutions
Services

By Deployment Type

Cloud
On-premises

By Organization Size

Small and Medium-sized Enterprises (SMEs)
Large enterprises

By Industry Type

Residential
Institutional commercials
Others

By Region

North America
- U.S.
- Canada
- Mexico
Europe
- UK
- Germany
- France
- Spain
- Italy
- Rest of Europe
Asia-Pacific
- China
- India
- Japan
- South Korea
- Australia
- Rest of Asia-Pacific
LAMEA
- Brazil
- UAE
- Saudi Arabia
- South Africa
- Rest of LAMEA
Key Market Players
- Autodesk, Inc.
- IBM
- Microsoft Corporation
- Oracle Corporation
- SAP
- aurora computer services
- Building System Planning Inc.
- PTC Inc.
- NVIDIA Corporation
- Dassault Systemes SE

Product Code: A12996

CHAPTER 1:INTRODUCTION

1.1.Report description
1.2.Key market segments
1.3.Key benefits to the stakeholders
1.4.Research Methodology
- 1.4.1.Secondary research
- 1.4.2.Primary research
- 1.4.3.Analyst tools and models

CHAPTER 2:EXECUTIVE SUMMARY

2.1.Key findings of the study
2.2.CXO Perspective

CHAPTER 3:MARKET OVERVIEW

3.1.Market definition and scope
3.2.Key findings
- 3.2.1.Top investment pockets
3.3.Porter's five forces analysis
3.4.Top player positioning
3.5.Market dynamics
- 3.5.1.Drivers
- 3.5.2.Restraints
- 3.5.3.Opportunities
3.6.COVID-19 Impact Analysis on the market

CHAPTER 4: ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET, BY OFFERINGS

4.1 Overview
- 4.1.1 Market size and forecast
4.2 Solutions
- 4.2.1 Key market trends, growth factors and opportunities
- 4.2.2 Market size and forecast, by region
- 4.2.3 Market analysis by country
4.3 Services
- 4.3.1 Key market trends, growth factors and opportunities
- 4.3.2 Market size and forecast, by region
- 4.3.3 Market analysis by country

CHAPTER 5: ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET, BY DEPLOYMENT TYPE

5.1 Overview
- 5.1.1 Market size and forecast
5.2 Cloud
- 5.2.1 Key market trends, growth factors and opportunities
- 5.2.2 Market size and forecast, by region
- 5.2.3 Market analysis by country
5.3 On-premises
- 5.3.1 Key market trends, growth factors and opportunities
- 5.3.2 Market size and forecast, by region
- 5.3.3 Market analysis by country

CHAPTER 6: ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET, BY ORGANIZATION SIZE

6.1 Overview
- 6.1.1 Market size and forecast
6.2 Small and Medium-sized Enterprises (SMEs)
- 6.2.1 Key market trends, growth factors and opportunities
- 6.2.2 Market size and forecast, by region
- 6.2.3 Market analysis by country
6.3 Large enterprises
- 6.3.1 Key market trends, growth factors and opportunities
- 6.3.2 Market size and forecast, by region
- 6.3.3 Market analysis by country

CHAPTER 7: ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET, BY INDUSTRY TYPE

7.1 Overview
- 7.1.1 Market size and forecast
7.2 Residential
- 7.2.1 Key market trends, growth factors and opportunities
- 7.2.2 Market size and forecast, by region
- 7.2.3 Market analysis by country
7.3 Institutional commercials
- 7.3.1 Key market trends, growth factors and opportunities
- 7.3.2 Market size and forecast, by region
- 7.3.3 Market analysis by country
7.4 Others
- 7.4.1 Key market trends, growth factors and opportunities
- 7.4.2 Market size and forecast, by region
- 7.4.3 Market analysis by country

CHAPTER 8: ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET, BY REGION

8.1 Overview
- 8.1.1 Market size and forecast
8.2 North America
- 8.2.1 Key trends and opportunities
- 8.2.2 North America Market size and forecast, by Offerings
- 8.2.3 North America Market size and forecast, by Deployment Type
- 8.2.4 North America Market size and forecast, by Organization Size
- 8.2.5 North America Market size and forecast, by Industry Type
- 8.2.6 North America Market size and forecast, by country
  - 8.2.6.1 U.S.
  - 8.2.6.1.1 Market size and forecast, by Offerings
  - 8.2.6.1.2 Market size and forecast, by Deployment Type
  - 8.2.6.1.3 Market size and forecast, by Organization Size
  - 8.2.6.1.4 Market size and forecast, by Industry Type
  - 8.2.6.2 Canada
  - 8.2.6.2.1 Market size and forecast, by Offerings
  - 8.2.6.2.2 Market size and forecast, by Deployment Type
  - 8.2.6.2.3 Market size and forecast, by Organization Size
  - 8.2.6.2.4 Market size and forecast, by Industry Type
  - 8.2.6.3 Mexico
  - 8.2.6.3.1 Market size and forecast, by Offerings
  - 8.2.6.3.2 Market size and forecast, by Deployment Type
  - 8.2.6.3.3 Market size and forecast, by Organization Size
  - 8.2.6.3.4 Market size and forecast, by Industry Type
8.3 Europe
- 8.3.1 Key trends and opportunities
- 8.3.2 Europe Market size and forecast, by Offerings
- 8.3.3 Europe Market size and forecast, by Deployment Type
- 8.3.4 Europe Market size and forecast, by Organization Size
- 8.3.5 Europe Market size and forecast, by Industry Type
- 8.3.6 Europe Market size and forecast, by country
  - 8.3.6.1 UK
  - 8.3.6.1.1 Market size and forecast, by Offerings
  - 8.3.6.1.2 Market size and forecast, by Deployment Type
  - 8.3.6.1.3 Market size and forecast, by Organization Size
  - 8.3.6.1.4 Market size and forecast, by Industry Type
  - 8.3.6.2 Germany
  - 8.3.6.2.1 Market size and forecast, by Offerings
  - 8.3.6.2.2 Market size and forecast, by Deployment Type
  - 8.3.6.2.3 Market size and forecast, by Organization Size
  - 8.3.6.2.4 Market size and forecast, by Industry Type
  - 8.3.6.3 France
  - 8.3.6.3.1 Market size and forecast, by Offerings
  - 8.3.6.3.2 Market size and forecast, by Deployment Type
  - 8.3.6.3.3 Market size and forecast, by Organization Size
  - 8.3.6.3.4 Market size and forecast, by Industry Type
  - 8.3.6.4 Spain
  - 8.3.6.4.1 Market size and forecast, by Offerings
  - 8.3.6.4.2 Market size and forecast, by Deployment Type
  - 8.3.6.4.3 Market size and forecast, by Organization Size
  - 8.3.6.4.4 Market size and forecast, by Industry Type
  - 8.3.6.5 Italy
  - 8.3.6.5.1 Market size and forecast, by Offerings
  - 8.3.6.5.2 Market size and forecast, by Deployment Type
  - 8.3.6.5.3 Market size and forecast, by Organization Size
  - 8.3.6.5.4 Market size and forecast, by Industry Type
  - 8.3.6.6 Rest of Europe
  - 8.3.6.6.1 Market size and forecast, by Offerings
  - 8.3.6.6.2 Market size and forecast, by Deployment Type
  - 8.3.6.6.3 Market size and forecast, by Organization Size
  - 8.3.6.6.4 Market size and forecast, by Industry Type
8.4 Asia-Pacific
- 8.4.1 Key trends and opportunities
- 8.4.2 Asia-Pacific Market size and forecast, by Offerings
- 8.4.3 Asia-Pacific Market size and forecast, by Deployment Type
- 8.4.4 Asia-Pacific Market size and forecast, by Organization Size
- 8.4.5 Asia-Pacific Market size and forecast, by Industry Type
- 8.4.6 Asia-Pacific Market size and forecast, by country
  - 8.4.6.1 China
  - 8.4.6.1.1 Market size and forecast, by Offerings
  - 8.4.6.1.2 Market size and forecast, by Deployment Type
  - 8.4.6.1.3 Market size and forecast, by Organization Size
  - 8.4.6.1.4 Market size and forecast, by Industry Type
  - 8.4.6.2 India
  - 8.4.6.2.1 Market size and forecast, by Offerings
  - 8.4.6.2.2 Market size and forecast, by Deployment Type
  - 8.4.6.2.3 Market size and forecast, by Organization Size
  - 8.4.6.2.4 Market size and forecast, by Industry Type
  - 8.4.6.3 Japan
  - 8.4.6.3.1 Market size and forecast, by Offerings
  - 8.4.6.3.2 Market size and forecast, by Deployment Type
  - 8.4.6.3.3 Market size and forecast, by Organization Size
  - 8.4.6.3.4 Market size and forecast, by Industry Type
  - 8.4.6.4 South Korea
  - 8.4.6.4.1 Market size and forecast, by Offerings
  - 8.4.6.4.2 Market size and forecast, by Deployment Type
  - 8.4.6.4.3 Market size and forecast, by Organization Size
  - 8.4.6.4.4 Market size and forecast, by Industry Type
  - 8.4.6.5 Australia
  - 8.4.6.5.1 Market size and forecast, by Offerings
  - 8.4.6.5.2 Market size and forecast, by Deployment Type
  - 8.4.6.5.3 Market size and forecast, by Organization Size
  - 8.4.6.5.4 Market size and forecast, by Industry Type
  - 8.4.6.6 Rest of Asia-Pacific
  - 8.4.6.6.1 Market size and forecast, by Offerings
  - 8.4.6.6.2 Market size and forecast, by Deployment Type
  - 8.4.6.6.3 Market size and forecast, by Organization Size
  - 8.4.6.6.4 Market size and forecast, by Industry Type
8.5 LAMEA
- 8.5.1 Key trends and opportunities
- 8.5.2 LAMEA Market size and forecast, by Offerings
- 8.5.3 LAMEA Market size and forecast, by Deployment Type
- 8.5.4 LAMEA Market size and forecast, by Organization Size
- 8.5.5 LAMEA Market size and forecast, by Industry Type
- 8.5.6 LAMEA Market size and forecast, by country
  - 8.5.6.1 Brazil
  - 8.5.6.1.1 Market size and forecast, by Offerings
  - 8.5.6.1.2 Market size and forecast, by Deployment Type
  - 8.5.6.1.3 Market size and forecast, by Organization Size
  - 8.5.6.1.4 Market size and forecast, by Industry Type
  - 8.5.6.2 UAE
  - 8.5.6.2.1 Market size and forecast, by Offerings
  - 8.5.6.2.2 Market size and forecast, by Deployment Type
  - 8.5.6.2.3 Market size and forecast, by Organization Size
  - 8.5.6.2.4 Market size and forecast, by Industry Type
  - 8.5.6.3 Saudi Arabia
  - 8.5.6.3.1 Market size and forecast, by Offerings
  - 8.5.6.3.2 Market size and forecast, by Deployment Type
  - 8.5.6.3.3 Market size and forecast, by Organization Size
  - 8.5.6.3.4 Market size and forecast, by Industry Type
  - 8.5.6.4 South Africa
  - 8.5.6.4.1 Market size and forecast, by Offerings
  - 8.5.6.4.2 Market size and forecast, by Deployment Type
  - 8.5.6.4.3 Market size and forecast, by Organization Size
  - 8.5.6.4.4 Market size and forecast, by Industry Type
  - 8.5.6.5 Rest of LAMEA
  - 8.5.6.5.1 Market size and forecast, by Offerings
  - 8.5.6.5.2 Market size and forecast, by Deployment Type
  - 8.5.6.5.3 Market size and forecast, by Organization Size
  - 8.5.6.5.4 Market size and forecast, by Industry Type

CHAPTER 9: COMPANY LANDSCAPE

9.1. Introduction
9.2. Top winning strategies
9.3. Product Mapping of Top 10 Player
9.4. Competitive Dashboard
9.5. Competitive Heatmap
9.6. Key developments

CHAPTER 10: COMPANY PROFILES

10.1 Autodesk, Inc.
- 10.1.1 Company overview
- 10.1.2 Company snapshot
- 10.1.3 Operating business segments
- 10.1.4 Product portfolio
- 10.1.5 Business performance
- 10.1.6 Key strategic moves and developments
10.2 IBM
- 10.2.1 Company overview
- 10.2.2 Company snapshot
- 10.2.3 Operating business segments
- 10.2.4 Product portfolio
- 10.2.5 Business performance
- 10.2.6 Key strategic moves and developments
10.3 Microsoft Corporation
- 10.3.1 Company overview
- 10.3.2 Company snapshot
- 10.3.3 Operating business segments
- 10.3.4 Product portfolio
- 10.3.5 Business performance
- 10.3.6 Key strategic moves and developments
10.4 Oracle Corporation
- 10.4.1 Company overview
- 10.4.2 Company snapshot
- 10.4.3 Operating business segments
- 10.4.4 Product portfolio
- 10.4.5 Business performance
- 10.4.6 Key strategic moves and developments
10.5 SAP
- 10.5.1 Company overview
- 10.5.2 Company snapshot
- 10.5.3 Operating business segments
- 10.5.4 Product portfolio
- 10.5.5 Business performance
- 10.5.6 Key strategic moves and developments
10.6 aurora computer services
- 10.6.1 Company overview
- 10.6.2 Company snapshot
- 10.6.3 Operating business segments
- 10.6.4 Product portfolio
- 10.6.5 Business performance
- 10.6.6 Key strategic moves and developments
10.7 Building System Planning Inc.
- 10.7.1 Company overview
- 10.7.2 Company snapshot
- 10.7.3 Operating business segments
- 10.7.4 Product portfolio
- 10.7.5 Business performance
- 10.7.6 Key strategic moves and developments
10.8 PTC Inc.
- 10.8.1 Company overview
- 10.8.2 Company snapshot
- 10.8.3 Operating business segments
- 10.8.4 Product portfolio
- 10.8.5 Business performance
- 10.8.6 Key strategic moves and developments
10.9 NVIDIA Corporation
- 10.9.1 Company overview
- 10.9.2 Company snapshot
- 10.9.3 Operating business segments
- 10.9.4 Product portfolio
- 10.9.5 Business performance
- 10.9.6 Key strategic moves and developments
10.10 Dassault Systemes SE
- 10.10.1 Company overview
- 10.10.2 Company snapshot
- 10.10.3 Operating business segments
- 10.10.4 Product portfolio
- 10.10.5 Business performance
- 10.10.6 Key strategic moves and developments