1.    Research Framework

1.1. Research Objective

1.2. Product Overview

1.3. Market Segmentation

2.    Research Methodology

2.1. Qualitative Research

2.1.1.   Primary & Secondary Sources

2.2. Quantitative Research

2.2.1.   Primary & Secondary Sources

2.3. Breakdown of Primary Research Respondents, By Region

2.3.1.   Secondary Research

2.3.2.   Primary Research

2.4. Breakdown of Primary Research Respondents

2.5. Market Size Estimation

2.6. Assumption for the Study

2.7. Market Breakdown & Data Triangulation

3.    Executive Summary

4.    Global Artificial Intelligence in The Construction Market Industry Insights

4.1. Industry Value Chain Analysis

4.1.1.   Vendor Matrix

4.2. DROC Analysis

4.2.1.   Growth Drivers

4.2.2.   Restraints

4.2.3.   Opportunities

4.2.4.   Challenges

4.3. Technological Landscape

4.4. Regulatory Framework

4.5. Company market share analysis,2019

4.6. Porter’s Five forces analysis

4.6.1.   Bargaining Power of Suppliers

4.6.2.   Bargaining Power of Buyers

4.6.3.   Threat of New Entrants

4.6.4.   Threat of Substitutes

4.6.5.   Intensity of Rivalry

4.7. Strategic Outlook

5.    Global Artificial Intelligence in The Construction Market Overview

5.1. Market Size & Forecast 2016-2026

5.1.1.   By Value (USD) 

5.2. Market Share & Forecast

5.2.1.   By Technology

5.2.1.1.       Machine learning and deep learning

5.2.1.2.       Natural Language Processing (NLP)

5.2.2.   By Stage

5.2.2.1.       Pre-construction

5.2.2.2.       Construction stage

5.2.2.3.       Post-construction

5.2.3.   By Component

5.2.3.1.       Solutions

5.2.3.2.       Services

5.2.4.   By Deployment

5.2.4.1.       Cloud

5.2.4.2.       On-premises

5.2.5.   By Organization size

5.2.5.1.       SMEs

5.2.5.2.       Large enterprises

5.2.6.   By Application

5.2.6.1.       Project management

5.2.6.2.       Field management

5.2.6.3.       Risk management

5.2.6.4.       Schedule management

5.2.6.5.       Supply chain management

5.2.6.6.       Others

5.2.7.   By End Use

5.2.7.1.       Residential

5.2.7.2.       Institutional commercials

5.2.7.3.       Heavy construction

5.2.7.4.       Others

5.2.8.   By Region

5.2.8.1.       North America

5.2.8.2.       Europe

5.2.8.3.       Asia Pacific

5.2.8.4.       Latin America

5.2.8.5.       Middle East & Africa

6.    North America Artificial Intelligence in The Construction Market

6.1. Market estimates & forecast

6.1.1.   By Technology

6.1.2.   By Stage

6.1.3.   By Component

6.1.4.   By Deployment

6.1.5.   By Organization

6.1.6.   By Application

6.1.7.   By End Use

6.1.8.   By Country

6.1.8.1.       U.S

6.1.8.2.       Canada

7.    Europe Artificial Intelligence in The Construction Market

7.1. Market estimates & forecast

7.1.1.   By Technology

7.1.2.   By Stage

7.1.3.   By Component

7.1.4.   By Deployment

7.1.5.   By Organization

7.1.6.   By Application

7.1.7.   By End Use

7.1.8.   By Country

7.1.8.1.       Germany

7.1.8.2.       U.K

7.1.8.3.       France

7.1.8.4.       Italy

7.1.8.5.       Rest of Europe

8.    Asia Pacific Artificial Intelligence in The Construction Market

8.1. Market estimates & forecast

8.1.1.   By Technology

8.1.2.   By Stage

8.1.3.   By Component

8.1.4.   By Deployment

8.1.5.   By Organization

8.1.6.   By Application

8.1.7.   By End Use

8.1.8.   By Country

8.1.8.1.       China

8.1.8.2.       India

8.1.8.3.       Japan

8.1.8.4.       Rest of APAC

9.    Latin America Artificial Intelligence in The Construction Market

9.1. Market estimates & forecast

9.1.1.   By Technology

9.1.2.   By Stage

9.1.3.   By Component

9.1.4.   By Deployment

9.1.5.   By Organization

9.1.6.   By Application

9.1.7.   By End Use

9.1.8.   By Country

9.1.8.1.       Brazil

9.1.8.2.       Argentina

9.1.8.3.       Rest of Latin America

10.Middle East & Africa Artificial Intelligence in The Construction Market

10.1.             Market estimates & forecast

10.1.1.                By Technology

10.1.2.                By Stage

10.1.3.                By Component

10.1.4.                By Deployment

10.1.5.                By Organization

10.1.6.                By Application

10.1.7.                By End Use

10.1.8.                By Country

10.1.8.1.    Saudi Arabia

10.1.8.2.    UAE

10.1.8.3.    South Africa

10.1.8.4.    Rest of MEA

11.Company Profile (Company Overview, Financial Matrix, Key Product landscape, Key Personnel, Key Competitors, Contact Address, and Strategic Outlook)*

11.1.             IBM

11.2.             Microsoft

11.3.             Oracle

11.4.             SAP

11.5.             Alice Technologies

11.6.             eSUB

11.7.             Smartvid.io

11.8.             Aurora Computer Services

11.9.             Autodesk

11.10.          Building System Planning

11.11.          Renoworks Software

11.12.          Askporter

11.13.          Darktrace

11.14.          SmarTVid.Io

11.15.          Jaroop

11.16.          Predii

11.17.          Lili.Ai

11.18.          Deepomatic

11.19.          Assignar

11.20.          Beyond Limits

11.21.          Coins Global

11.22.          Plangrid

11.23.          Doxel

11.24.          Bentley Systems

11.25.          Other Prominent Players

* Financial information of non-listed Companies will be provided as per availability

**The segmentation and the companies are subjected to modifications based on in-depth secondary for the final deliverable