Artificial Intelligence (AI) in Construction Market is forecasted to value over USD 2.7 billion by 2028 end and register a CAGR of 34% from the forecast period 2021-2028.

As per the market analysis performed by research analysts at Future Market Analytics, the adoption of Artificial Intelligence and Machine Learning (ML) by organizations across the world has risen and it is predicted that this rate of adoption shall increase in future as well. This is due to the advantages AI and machine learning offer in risk assessment, business analytics, research, and development. Professionals are also pushing for a safer and transparent implementation of this technology which shall further propel its growth. The integration of AI and IoT can be beneficial for the industrial as well as home automation sector, thus accelerating the growth of the AI and ML industry. AI would soon help understand the functionalities of invasive bacteria and viruses and aid in curing terminal diseases like cancer thus having the potential of limiting the implementation of age-old remedies like chemotherapy.

The assessment of Artificial Intelligence (AI) in Construction Market is performed considering various factors, like for instance, the business expansion policies of key players, competitive analysis of the progress of new entrants and emerging players, the revenue, financial, and opportunity analysis of market players. The Artificial Intelligence (AI) in Construction Market is also analyzed based on the regional segmentation, product type or technique, end-user spectrum, etc. This research will be conducted with the implementation of the latest market research methodologies which shall help organizations comprehend the overall market scenario and strategize accordingly.

Major players included in the Artificial Intelligence (AI) in Construction Market:

  • IBM
  • Oracle
  • SAP
  • eSUB
  • Jaroop
  • Predii
  • Lili.Ai
  • Autodesk
  • Assignar
  • Microsoft
  • DarKTrace
  • Deepomatic
  • SmarTVid.Io
  • Alice Technologies
  • Building System Planning
  • Aurora Computer Services

(Note: The list of the major players will be updated with the latest market scenario and trends)

Artificial Intelligence (AI) in Construction Market Segmentation:
By Stage

  • Pre-construction
  • Construction stage
  • Post-construction

By Type

  • Residential
  • Institutional Commercials
  • Heavy Construction

By Component

  • Solutions
    • Design and planning
    • Revenue estimation
    • Virtual assistant
    • Demand forecasting
    • Predictive maintenance
    • Others
  • Services
    • Integration and deployment
    • Training and consulting
    • Support and maintenance

By Deployment Mode

  • On-Premises
  • Cloud

By Technology

  • Machine Learning
  • Deep Learning
  • NLP

By Application

  • Project Management
  • Field Management
  • Risk Management
  • Schedule Management
  • Supply Chain Management
  • Others

By Organization Size

  • SMEs
  • Large Enterprises

By Region

  • North America
  • Europe
  • Asia-Pacific
  • Latin America
  • Middle East and Africa

Artificial Intelligence (AI) in Construction Market Competitive Analysis:

  • Tier-1 Players
  • Tier-2 Players
  • Emerging Players
  • New Entrants

Future Market Analytics Focus Points:

  • SWOT Analysis
  • Key Market Trends
  • Key Data -Points Affecting Market Growth
  • Revenue and Forecast Analysis
  • Growth Opportunities For New Entrants and Emerging Players
  • Key Player and Market Growth Matrix

Objectives of the Study:

  • To provide a comprehensive analysis on the Artificial Intelligence (AI) in Construction Market by stage, by type, by component, by deployment mode, by technology, by application, by organization size and by region
  • To cater extensive insights on factors influencing the market growth (drivers, restraints, industry-specific restraints, business expansion opportunities)
  • To anticipate and analyse the market size expansion in key regions- North America, Europe, Asia Pacific, Latin America and Middle East and Africa
  • To record and evaluate competitive landscape mapping- strategic alliances and mergers, technological advancements and product launches, revenue and financial analysis of key market players

 
In case of any requirements or changes to the current table of content please contact us at:enquiry@futuremarketanalytics.com

Description

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

2. Research Methodology
    2.1. Research Data
         2.1.1. Secondary Data
                2.1.1.1. Key Data from Secondary Sources
         2.1.2. Primary Data
                2.1.2.1. Key Data from Primary Sources
    2.2. Market Size Estimation
    2.3. Market Breakdown and Data Triangulation
    2.4. Assumptions for the Study

3. Executive Summary
    3.1. Market Outlook
    3.2. Segment Outlook
    3.3. Competitive Insights

4. Market Variables, Trends & Scope
    4.1. Market Lineage Outlook
    4.2. Penetration and Growth Prospect Mapping
    4.3. Industry Value Chain Analysis
    4.4. Cost Analysis Breakdown
    4.5. Technology Overview
    4.6. Regulatory Framework on Country Level
         4.6.1. Reimbursement Framework
         4.6.2. Standards and Compliances

5. Market Overview
    5.1. Market Dynamics
         5.1.1. Market Driver Analysis
         5.1.2. Market Restraint Analysis
         5.1.3. Industry Challenges

6. Market Analysis Tools
    6.1. Industry Analysis – Porter’s
         6.1.1. Supplier Power
         6.1.2. Buyer Power
         6.1.3. Substitution Threat
         6.1.4. Threat from new entrants
         6.1.5. Competitive Rivalry
    6.2. Pestel Analysis
         6.2.1. Political Landscape
         6.2.2. Environmental Landscape
         6.2.3. Social landscape
         6.2.4. Technology landscape
         6.2.5. Legal Landscape

7. Artificial Intelligence (AI) in Construction Market, By Stage Historical Analysis 2016-2020 and Forecast 2021-2028 (USD million)
    7.1. Pre-construction
    7.2. Construction stage
    7.3. Post-construction

8. Artificial Intelligence (AI) in Construction Market, By Type Historical Analysis 2016-2020 and Forecast 2021-2028 (USD million)
    8.1. Residential
    8.2. Institutional Commercials
    8.3. Heavy Construction

9. Artificial Intelligence (AI) in Construction Market, By Component Historical Analysis 2016-2020 and Forecast 2021-2028 (USD million)
    9.1. Solutions
         9.1.1. Design and planning
         9.1.2. Revenue estimation
         9.1.3. Virtual assistant
         9.1.4. Demand forecasting
         9.1.5. Predictive maintenance
         9.1.6. Others
    9.2. Services
         9.2.1. Integration and deployment
         9.2.2. Training and consulting
         9.2.3. Support and maintenance

10. Artificial Intelligence (AI) in Construction Market, By Deployment Mode Historical Analysis 2016-2020 and Forecast 2021-2028 (USD million)
    10.1. On-Premises
    10.2. Cloud

11. Artificial Intelligence (AI) in Construction Market, By Technology Historical Analysis 2016-2020 and Forecast 2021-2028 (USD million)
    11.1. Machine Learning
    11.2. Deep Learning
    11.3. NLP

12. Artificial Intelligence (AI) in Construction Market, By Application Historical Analysis 2016-2020 and Forecast 2021-2028 (USD million)
    12.1. Project Management
    12.2. Field Management
    12.3. Risk Management
    12.4. Schedule Management
    12.5. Supply Chain Management
    12.6. Others

13. Artificial Intelligence (AI) in Construction Market, By Organization Size Historical Analysis 2016-2020 and Forecast 2021-2028 (USD million)
    13.1. SMEs
    13.2. Large Enterprises

14. North America Market Analysis 2016-2020 and Forecast 2021–2028 (USD Million)
    14.1. Introduction
    14.2. Historical Market Size (USD Mn) Analysis By Country, 2016-2020
         14.2.1. U.S.
         14.2.2. Canada
         14.2.3. Mexico
         14.2.4. Rest of North America
    14.3. Market Size (USD Mn) Forecast for North America 2021-2028

15. Latin America Market Analysis 2016-2020 and Forecast 2021–2028 (USD Million)
    15.1. Introduction
    15.2. Regional Market Trends
    15.3. Historical Market Size (USD Mn) Analysis By Country, 2016-2020
         15.3.1. Brazil
         15.3.2. Venezuela
         15.3.3. Argentina
         15.3.4. Rest of Latin America
    15.4 Market Size (USD Mn) Forecast for Latin America 2021-2028

16. Europe Market Analysis 2016-2020 and Forecast 2021–2028 (USD Million)
    16.1. Introduction
    16.2. Historical Market Size (USD Mn) Analysis By Country, 2016-2020
         16.2.1. Germany
         16.2.2. U.K
         16.2.3. France
         16.2.4. Italy
         16.2.5. Switzerland
         16.2.6. Spain
         16.2.7. Russia
         16.2.8. Poland
         16.2.9. Rest of Europe
    16.3. Market Size (USD Mn) Forecast for Europe 2021-2028

17. Asia Pacific Market Analysis 2016-2020 and Forecast 2021–2028 (USD Million)
    17.1. Introduction
    17.2. Historical Market Size (USD Mn) Analysis By Country, 2016-2020
         17.2.1. Japan
         17.2.2. China
         17.2.3. Singapore
         17.2.4. Korea
         17.2.5. India
         17.2.6. Australia and New Zealand
         17.2.7. ASEAN
         17.2.8. Rest of Asia Pacific
    17.3. Market Size (USD Mn) Forecast for Asia Pacific 2021-2028

18. Middle East and Africa Market Analysis 2016-2020 and Forecast 2021–2028 (USD Million)
    18.1. Introduction
    18.2. Historical Market Size (USD Mn) Analysis By Country, 2016-2020
         18.2.1. UAE
         18.2.2. South Africa
         18.2.3. Egypt
         18.2.4. Saudi Arabia
         18.2.5. Rest of MEA
    18.3. Market Size (USD Mn) Forecast for MEA 2021-2028

19. Company Profiles (Competition Dashboard, Competitors Deep Dive, Product Type and Technology Portfolio, Financial Layouts)
    19.1. IBM
         19.1.1. Company Overview (HQ, Business Segments, Employee Strength)
         19.1.2. Product Portfolio
         19.1.3. SWOT Analysis
         19.1.4. Financial Overview
         19.1.5. Strategic Overview
    19.2. Oracle
         19.2.1. Company Overview (HQ, Business Segments, Employee Strength)
         19.2.2. Product Portfolio
         19.2.3. SWOT Analysis
         19.2.4. Financial Overview
         19.2.5. Strategic Overview
    19.3. SAP
         19.3.1. Company Overview (HQ, Business Segments, Employee Strength)
         19.3.2. Product Portfolio
         19.3.3. SWOT Analysis
         19.3.4. Financial Overview
         19.3.5. Strategic Overview
    19.4. eSUB
         19.4.1. Company Overview (HQ, Business Segments, Employee Strength)
         19.4.2. Product Portfolio
         19.4.3. SWOT Analysis
         19.4.4. Financial Overview
         19.4.5. Strategic Overview
    19.5. Jaroop
         19.5.1. Company Overview (HQ, Business Segments, Employee Strength)
         19.5.2. Product Portfolio
         19.5.3. SWOT Analysis
         19.5.4. Financial Overview
         19.5.5. Strategic Overview
    19.6. Predii
         19.6.1. Company Overview (HQ, Business Segments, Employee Strength)
         19.6.2. Product Portfolio
         19.6.3. SWOT Analysis
         19.6.4. Financial Overview
         19.6.5. Strategic Overview
    19.7. Lili.Ai
         19.7.1. Company Overview (HQ, Business Segments, Employee Strength)
         19.7.2. Product Portfolio
         19.7.3. SWOT Analysis
         19.7.4. Financial Overview
         19.7.5. Strategic Overview
    19.8. Autodesk
         19.8.1. Company Overview (HQ, Business Segments, Employee Strength)
         19.8.2. Product Portfolio
         19.8.3. SWOT Analysis
         19.8.4. Financial Overview
         19.8.5. Strategic Overview
    19.9. Assignar
         19.9.1. Company Overview (HQ, Business Segments, Employee Strength)
         19.9.2. Product Portfolio
         19.9.3. SWOT Analysis
         19.9.4. Financial Overview
         19.9.5. Strategic Overview
    19.10. Microsoft
         19.10.1. Company Overview (HQ, Business Segments, Employee Strength)
         19.10.2. Product Portfolio
         19.10.3. SWOT Analysis
         19.10.4. Financial Overview
         19.10.5. Strategic Overview
    19.11. DarKTrace
         19.11.1. Company Overview (HQ, Business Segments, Employee Strength)
         19.11.2. Product Portfolio
         19.11.3. SWOT Analysis
         19.11.4. Financial Overview
         19.11.5. Strategic Overview
    19.12. Deepomatic
         19.12.1. Company Overview (HQ, Business Segments, Employee Strength)
         19.12.2. Product Portfolio
         19.12.3. SWOT Analysis
         19.12.4. Financial Overview
         19.12.5. Strategic Overview
    19.13. SmarTVid.Io
         19.13.1. Company Overview (HQ, Business Segments, Employee Strength)
         19.13.2. Product Portfolio
         19.13.3. SWOT Analysis
         19.13.4. Financial Overview
         19.13.5. Strategic Overview
    19.14. Alice Technologies
         19.14.1. Company Overview (HQ, Business Segments, Employee Strength)
         19.14.2. Product Portfolio
         19.14.3. SWOT Analysis
         19.14.4. Financial Overview
         19.14.5. Strategic Overview
    19.15. Building System Planning
         19.15.1. Company Overview (HQ, Business Segments, Employee Strength)
         19.15.2. Product Portfolio
         19.15.3. SWOT Analysis
         19.15.4. Financial Overview
         19.15.5. Strategic Overview
    19.16. Aurora Computer Services
         19.16.1. Company Overview (HQ, Business Segments, Employee Strength)
         19.16.2. Product Portfolio
         19.16.3. SWOT Analysis
         19.16.4. Financial Overview
         19.16.5. Strategic Overview

20. Impact of COVID-19
    20.1. Positive influence on the industry
    20.2. The financial disruption of the sector
    20.3. Impact of COVID-19 on emerging companies
    20.4. Significant mandates in the industry regulations initiated by administrations
    20.5. The overall economic slowdown of the developing and developed nations

21. Competitive Intelligence and Competitive Matrix
    21.1. Competitive Intelligence
    21.2. Competitive Matrix

22. Major Deals and Strategic Alliances Analysis
    22.1. Joint ventures
    22.2. Mergers and acquisitions
    22.3. Licensing and partnerships
    22.4. Technology Collaborations
    22.5. Strategic Divestments
    22.6. Market Entry Strategies

23. Relevant Case Studies and Latest News Updates

24. Key Market Takeaway Points from the Market Analysts at Future Market Analytics