Artificial Intelligence (AI) in Construction Market by Technology, Stage, Component, Application, Deployment Type, Organization Size, Industry Type (Residential, Institutional Commercial, and Heavy Construction), and Region - Global Forecast to 2023

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Date: 16-May-2018
No. of pages: 150
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The AI in construction market is projected to grow at a CAGR of 35.1% during the forecast period

MarketsandMarkets expects the global Artificial Intelligence (AI) in construction market to grow from USD 407.2 million in 2018 to USD 1,831.0million by 2023, at a Compound Annual Growth Rate (CAGR) of 35.1% during the forecast period. The rising demand for AI-based solutions and platforms, the need for more safety measures at construction sites, and the capability of AI in construction solutions and services for reducing the production costs are expected to drive the growth of the AI in construction market. Few investments made intechnological Research and Development (R&D) is expected to act as the major restraint for the market growth.

The cloud deployment type is expected to have the larger market share during the forecast period

In the AI in construction market, the cloud deployment type offers multiple benefits, such as reduced operational and maintenance costs, fewer complexities, and more scalability. AIin construction solution providers are focusing on deploying robust cloud-based solutions for their clients, as many organizations have started adopting the cloud-based deployment type. Additionally, the cloud deployment type is user-friendly, cost-effective, and easy to access. However, at present, many construction companies are still opting for on-premises-based AI in construction solutions.

Among technologies, the machine learning and deep learning segment is expected to have the larger market size during the forecast period

The AI in construction market by technology has been segmented into machine learning and deep learning; and Natural Language Processing (NLP). Among these technologies, the machine learning and deep learning segment is expected to have the larger market size.

The machine learning and deep learning technology offers the most robust methodology to tap into the area of context that involves human-computer interactions and provides close predictions based on the historical data. This technology is useful in the construction industry in terms of automating business functions.

North America is expected to have the largest market size in the AI in construction market during the forecast period

Among regions, North America is expected to have the largest market size in the AI in construction market during the forecast period. The North American region has always stayed ahead in technological adoption and is a hub for many technically advanced construction companies. These companies have made huge investments in the AI in construction market, and several vendors have evolved to cater to the rapidly growing market. Considerable growth in the market size is expected in the region during the forecast period. The major initiatives taken for the growth of the AI in construction market belong to this region. Organizations in this region make the best use of technologies to eliminate the hassles in time-consuming tasks and ease their functioning and decision-making capabilities.

In-depth interviews were conducted with Chief Executive Officers (CEOs), marketing directors, innovation and technology directors, and executives from various key organizations operating in the AI in construction market to arrive at the AI in construction market size.


  • By Company Type: Tier 1: 35%, Tier 2: 39%, and Tier 3: 26%

  • By Designation: C-Level: 55%, Director Level: 40%, Others: 5%

  • By Region: North America: 38%, Europe: 40%, APAC: 21%, and Rest of the World (RoW):1%


The report includes the study of the key players offering AI in construction solutions and services. IBM (US), Microsoft (US), Oracle (US), SAP (Germany), Alice Technologies (US), eSUB (US), Smartvid.io(US), Aurora Computer Services(England), Autodesk(US), and Building System Planning(US) have been profiled in the report. The report includes an in-depth competitive analysis of these key AI in construction market players, along with their company profiles that include business overviews, product offerings, recent developments, and market strategies.

Research Coverage

The AI in construction market has been segmented on the basis of technologies, stages, components (solutions and services), applications, deployment types, organization size, industry types, and regions. The solutions segment includes design and planning, revenue estimation, virtual assistant, demand forecasting, predictive maintenance, and others (root cause analysis and customer/buyer analysis),whereas the services segment comprises integration and deployment, training and consulting, and support and maintenance. The deployment types covered in this report are cloud and on-premises.

The organization size includes Small and Medium-sized Enterprises (SMEs) and large enterprises. The application segment covers project management, field management, risk management, schedule management, supply chain management, and others (equipment and construction materials management, resource management, subcontractor management, and cost management). The industry types include residential, institutional commercials, heavy construction, and others (light industrial construction and specialized industrial construction). Finally, on the basis of regions, the AI in construction market has been segmented into North America, Europe, Asia Pacific (APAC), and Middle East and Africa (MEA.

The report would help market leaders and new entrants in the AI in construction market in the following ways:


  • The report segments the market into various subsegments, hence it covers the market comprehensively. The report provides the closest approximation of revenue numbers for the overall market and its subsegments. The market numbers are further split across various industry types and regions.

  • The report helps in understanding the overall growth of the market. It provides information on the key market drivers, restraints, challenges, and opportunities.

  • The report helps in understanding the competitors better and gaining more insights to strengthen their positions in the market. The study also presents the positioning of the key players based on their product offerings and business strategies.

Artificial Intelligence (AI) in Construction Market by Technology, Stage, Component, Application, Deployment Type, Organization Size, Industry Type (Residential, Institutional Commercial, and Heavy Construction), and Region - Global Forecast to 2023

Table of Contents

1 Introduction
1.1 Objectives of the Study
1.2 Market Definition
1.3 Market Scope
1.4 Years Considered for the Study
1.5 Currency
1.6 Stakeholders

2 Research Methodology
2.1 Research Data
2.1.1 Secondary Data
2.1.2 Primary Data
2.1.2.1 Breakdown of Primaries
2.1.2.2 Source: Industry Experts Key Industry Insights
2.2 Market Size Estimation
2.2.1 Bottom-Up Approach
2.2.2 Top-Down Approach
2.3 Research Assumptions
2.4 Limitations

3 Executive Summary

4 Premium Insights
4.1 Attractive Market Opportunities in the AI in Construction Market
4.2 Market Top 3 Applications and Regions
4.3 Market Market Share By Application (2018 vs 2023)
4.4 Growth Rate of Construction Stages During the Forecast Period

5 Market Overview
5.1 Introduction
5.1.1 Drivers
5.1.1.1 Need for More Safety Measures at Construction Sites
5.1.1.2 Need to Reduce Production Costs
5.1.2 Restraints
5.1.2.1 Lesser R&D Investments in Technology
5.1.3 Opportunities
5.1.3.1 High Demand for Integrated Ai in Construction Solutions
5.1.3.2 Increasing Need for Intelligent Business Process
5.1.4 Challenges
5.1.4.1 Monitoring the Highly Unstructured Jobsite Environments
5.1.4.2 Scarcity of Skilled Employees and Workers
5.2 Use Cases
5.2.1 Use Case 1: Komatsu and Nvidia
5.2.2 Use Case 2: Al-Sheraa in Dubai
5.2.3 Use Case 3: China-Linux Foundation
5.2.4 Use Case 4: Zanker Recycling

6 AI in Construction Market, By Technology
6.1 Introduction
6.2 Machine Learning and Deep Learning
6.3 Natural Language Processing

7 Market By Stage
7.1 Introduction
7.2 Pre-Construction
7.3 Construction Stage
7.4 Post-Construction

8 AI in Construction Market, By Component
8.1 Introduction
8.2 Solutions
8.2.1 Design and Planning
8.2.2 Revenue Estimation
8.2.3 Virtual Assistant
8.2.4 Demand Forecasting
8.2.5 Predictive Maintenance
8.2.6 Others
8.3 Services
8.3.1 Integration and Deployment
8.3.2 Training and Consulting
8.3.3 Support and Maintenance

9 AI in Construction Market, By Application
9.1 Introduction
9.2 Project Management
9.3 Field Management
9.4 Risk Management
9.5 Schedule Management
9.6 Supply Chain Management
9.7 Others

10 AI in Construction Market, By Deployment Type
10.1 Introduction
10.2 Cloud
10.3 On-Premises

11 Market By Organization Size
11.1 Introduction
11.2 Small and Medium-Sized Enterprises
11.3 Large Enterprises

12 AI in Construction Market, By Industry Type
12.1 Introduction
12.2 Residential
12.3 Institutional Commercials
12.4 Heavy Construction
12.5 Others

13 AI in Construction Market, By Region
13.1 Introduction
13.2 North America
13.3 Europe
13.4 Asia Pacific
13.5 Middle East and Africa

14 Competitive Landscape
14.1 Overview
14.2 Competitive Situation and Trends
14.2.1 New Product Launches
14.2.2 Agreements, Partnerships, and Collaborations
14.2.3 Mergers and Acquisitions

15 Company Profiles
(Business Overview, Products & Services, Key Insights, Recent Developments, SWOT Analysis, MnM View)*
15.1 IBM
15.2 Microsoft
15.3 Oracle
15.4 SAP
15.5 Alice Technologies
15.6 eSUB
15.7 SmarTVid.Io
15.8 DarKTrace
15.9 Aurora Computer Services
15.10 Autodesk
15.11 Jaroop
15.12 Lili.Ai
15.13 Predii
15.14 Assignar
15.15 Deepomatic
15.16 Coins Global
15.17 Beyond Limits
15.18 Doxel
15.19 Askporter
15.20 Plangrid
15.21 Renoworks Software
15.22 Building System Planning
15.23 Bentley Systems

*Details on Business Overview, Products & Services, Key Insights, Recent Developments, SWOT Analysis, MnM View Might Not Be Captured in Case of Unlisted Companies.

16 Appendix
16.1 Insights of Industry Experts
16.2 Discussion Guide
16.3 Knowledge Store: Marketsandmarkets’ Subscription Portal
16.4 Introducing RT: Real-Time Market Intelligence
16.5 Related Reports
16.6 Author Details

List of Tables

Table 1 AI in Construction Market Size, By Technology, 2016–2023 (USD Million)
Table 2 Machine Learning and Deep Learning: Market Size By Region, 2016–2023 (USD Million)
Table 3 Natural Language Processing: Market Size By Region, 2016–2023 (USD Million)
Table 4 AI in Construction Market Size, By Stage, 2016–2023 (USD Million)
Table 5 Pre-Construction: Market Size By Region, 2016–2023 (USD Million)
Table 6 Construction Stage: Market Size By Region, 2016–2023 (USD Million)
Table 7 Post-Construction: Market Size By Region, 2016–2023 (USD Million)
Table 8 AI in Construction Market Size, By Component, 2018–2023 (USD Million)
Table 9 Solutions: Market Size By Region, 2018–2023 (USD Million)
Table 10 Solutions: Market Size By Type, 2018–2023 (USD Million)
Table 11 Design and Planning Market Size, By Region, 2018–2023 (USD Million)
Table 12 Revenue Estimation Market Size, By Region, 2015–2023 (USD Million)
Table 13 Virtual Assistant Market Size, By Region, 2015–2023 (USD Million)
Table 14 Demand Forecasting Market Size, By Region, 2015–2023 (USD Million)
Table 15 Predictive Maintenance Market Size, By Region, 2015–2023 (USD Million)
Table 16 Others Market Size, By Region, 2015–2023 (USD Million)
Table 17 Services: AI in Construction Market Size, By Type, 2015–2023 (USD Million)
Table 18 Integration and Deployment Market Size, By Region, 2015–2023 (USD Million)
Table 19 Training and Consulting Market Size, By Region, 2015–2023 (USD Million)
Table 20 Support and Maintenance Market Size, By Region, 2015–2023 (USD Million)
Table 21 AI in Construction Market Size, By Application, 2016–2023 (USD Million)
Table 22 Project Management: Market Size By Region, 2016–2023 (USD Million)
Table 23 Field Management: Market Size By Region, 2016–2023 (USD Million)
Table 24 Risk Management: Market Size By Region, 2016–2023 (USD Million)
Table 25 Schedule Management: Market Size By Region, 2016–2023 (USD Million)
Table 26 Supply Chain Management: Market Size By Region, 2016–2023 (USD Million)
Table 27 Others: Market Size By Region, 2016–2023 (USD Million)
Table 28 AI in Construction Market Size, By Deployment Type, 2016–2023 (USD Million)
Table 29 Cloud: Market Size By Region, 2016–2023 (USD Million)
Table 30 On-Premises: Market Size By Region, 2016–2023 (USD Million)
Table 31 Market Size By Organization Size, 2016–2023 (USD Million)
Table 32 Small and Medium-Sized Enterprises: Market Size By Region, 2016–2023 (USD Million)
Table 33 Large Enterprises: Market Size By Region, 2016–2023 (USD Million)
Table 34 AI in Construction Market Size, By Industry Type, 2016–2023 (USD Million)
Table 35 Residential: Market Size By Region, 2016–2023 (USD Million)
Table 36 Institutional Commercials: Market Size By Region, 2016–2023 (USD Million)
Table 37 Heavy Construction: Market Size By Region, 2018–2023 (USD Million)
Table 38 Others: Market Size By Region, 2016–2023 (USD Million)
Table 39 AI in Construction Market Size, By Region, 2016–2023 (USD Million)
Table 40 North America: Market Size By Technology, 2016–2023 (USD Million)
Table 41 North America: Market Size By Stage, 2016–2023 (USD Million)
Table 42 North America: Market Size By Component, 2016–2023 (USD Million)
Table 43 North America: Market Size By Solution, 2016–2023 (USD Million)
Table 44 North America: Market Size  By Service, 2016–2023 (USD Million)
Table 45 North America: Market Size By Application, 2016–2023 (USD Million)
Table 46 North America: Market Size By Deployment Type, 2016–2023 (USD Million)
Table 47 North America: Market Size By Organization Size, 2016–2023 (USD Million)
Table 48 North America: Market Size By Industry Type, 2016–2023 (USD Million)
Table 49 Europe: AI in Construction Market Size, By Technology, 2016–2023 (USD Million)
Table 50 Europe: Market Size By Stage, 2016–2023 (USD Million)
Table 51 Europe: Market Size By Component, 2016–2023 (USD Million)
Table 52 Europe: Market Size By Solution, 2016–2023 (USD Million)
Table 53 Europe: Market Size By Service, 2016–2023 (USD Million)
Table 54 Europe: Market Size By Application, 2016–2023 (USD Million)
Table 55 Europe: Market Size By Deployment Type, 2016–2023 (USD Million)
Table 56 Europe: Market Size By Organization Size, 2016–2023 (USD Million)
Table 57 Europe: Market Size By Industry Type, 2016–2023 (USD Million)
Table 58 Asia Pacific: AI in Construction Market Size, By Technology, 2016–2023 (USD Million)
Table 59 Asia Pacific: Market Size By Stage, 2016–2023 (USD Million)
Table 60 Asia Pacific: Market Size By Component, 2016–2023 (USD Million)
Table 61 Asia Pacific: Market Size By Solution, 2016–2023 (USD Million)
Table 62 Asia Pacific: Market Size By Service, 2016–2023 (USD Million)
Table 63 Asia Pacific: Market Size By Application, 2016–2023 (USD Million)
Table 64 Asia Pacific: Market Size  By Deployment Type, 2016–2023 (USD Million)
Table 65 Asia Pacific: Market Size By Organization Size, 2016–2023 (USD Million)
Table 66 Asia Pacific: Market Size By Industry Type, 2016–2023 (USD Million)
Table 67 Middle East and Africa: AI in Construction Market Size, By Technology, 2016–2023 (USD Million)
Table 68 Middle East and Africa: Market Size By Stage, 2016–2023 (USD Million)
Table 69 Middle East and Africa: Market Size By Component, 2016–2023 (USD Million)
Table 70 Middle East and Africa: Market Size By Solution, 2016–2023 (USD Million)
Table 71 Middle East and Africa: Market Size By Service, 2016–2023 (USD Million)
Table 72 Middle East and Africa: Market Size By Application, 2016–2023 (USD Million)
Table 73 Middle East and Africa: Market Size By Deployment Type, 2016–2023 (USD Million)
Table 74 Middle East and Africa: Market Size By Organization Size, 2016–2023 (USD Million)
Table 75 Middle East and Africa: Market Size By Industry Type, 2016–2023 (USD Million)
Table 76 New Product Launches, 2016–2018
Table 77 Agreements, Partnerships, and Collaborations, 2016–2017
Table 78 Mergers and Acquisitions, 2016–2017

List of Figures

Figure 1 AI in Construction Market Segmentation
Figure 2 Market Research Design
Figure 3 Breakdown of Primaries: By Company, Designation, and Region
Figure 4 Data Triangulation
Figure 5 Market Size Estimation Methodology: Bottom-Up Approach
Figure 6 Market Size Estimation Methodology: Top-Down Approach
Figure 7 Research Assumptions
Figure 8 AI in Construction Market Snapshot, By Solution (2018–2023)
Figure 9 Market Snapshot By Application (2018–2023)
Figure 10 Market Snapshot By Stage (2018–2023)
Figure 11 Market Snapshot By Region
Figure 12 Proliferation in Data Generation and Need for Safety at Jobsites are Expected to Propel the Adoption of Ai in Construction Solutions and Services
Figure 13 Project Management Application and North American Region are Estimated to Have the Largest Market Shares in 2017
Figure 14 Project Management Application is Expected to Have the Largest Market Share During the Forecast Period
Figure 15 Construction Stage is Expected to Create Opportunities for Ai in Construction Vendors During the Forecast Period
Figure 16 Drivers, Restraints, Opportunities, and Challenges
Figure 17 Natural Language Processing Technology is Expected to Grow at A Higher CAGR During the Forecast Period
Figure 18 Construction Stage is Expected to Grow at the Highest CAGR During the Forecast Period
Figure 19 Services Segment is Expected to Grow at A Higher CAGR During the Forecast Period
Figure 20 Training and Consulting Segment is Expected to Grow at the Highest CAGR During the Forecast Period
Figure 21 Field Management Application is Expected to Grow at the Highest CAGR During the Forecast Period
Figure 22 Cloud Deployment Type is Expected to Grow at A Higher CAGR During the Forecast Period
Figure 23 Small and Medium-Sized Enterprises Segment is Expected to Grow at A Higher CAGR During the Forecast Period
Figure 24 Residential Segment is Expected to Grow at the Fastest CAGR During the Forecast Period
Figure 25 Asia Pacific is Expected to Grow at the Highest CAGR During the Forecast Period
Figure 26 Asia Pacific is Expected to Be the Emerging Region in the AI in Construction Market
Figure 27 North America: Market Snapshot
Figure 28 Asia Pacific: Market Snapshot
Figure 29 Companies Adopted New Product Launches as the Key Growth Strategy From 2015 to 2017
Figure 30 IBM: Company Snapshot
Figure 31 IBM: SWOT Analysis
Figure 32 Microsoft: Company Snapshot
Figure 33 Microsoft: SWOT Analysis
Figure 34 Oracle: Company Snapshot
Figure 35 Oracle: SWOT Analysis
Figure 36 SAP: Company Snapshot
Figure 37 SAP: SWOT Analysis

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