Artificial Intelligence (AI) in Construction Market, By Technology (Machine learning and deep learning, Natural Language Processing (NLP)), By Stage (Pre-construction, Construction stage, Post-construction), By Component (Solutions [Design and planning, Revenue estimation, Virtual assistant, Demand forecasting, Predictive maintenance], Services [Integration and deployment, Training and consulting, Support and maintenance]), By Application(Project management, Field management, Risk management, Schedule management, Supply chain management, Others), By Deployment Type(On-Premise and Cloud), By Organization Size(Large Enterprises and Small & Medium Enterprises), By Industry Type (Residential, Institutional Commercial, and Heavy Construction), By Region (North America, Eastern Europe, Western Europe, Asia Pacific, Middle East, Rest of the World) – Market Size & Forecasting to 2028

The Artificial Intelligence (AI) in Construction Market report points out national and global business prospects and competitive conditions for artificial intelligence (AI) in construction. Market size estimation and forecasts were given based on a detailed research methodology tailored to the conditions of the demand for artificial intelligence (AI) in construction. The artificial intelligence (AI) in construction market has been segmented by technology (machine learning and deep learning, natural language processing (nlp)), stage (pre-construction, construction stage, post-construction), component (solutions [design and planning, revenue estimation, virtual assistant, demand forecasting, predictive maintenance], services [integration and deployment, training and consulting, support and maintenance]), application(project management, field management, risk management, schedule management, supply chain management, others), deployment type(on-premise and cloud),  organization size(large enterprises and small & medium enterprises), and industry type (residential, institutional commercial, and heavy construction). Historical background for the demand of artificial intelligence (AI) in construction has been studied according to organic and inorganic innovations in order to provide accurate estimates of the market size. Primary factors influencing the growth of the demand for artificial intelligence (AI) in construction have also been established with potential gravity. Major regions covered in the study include North America, Western Europe, Eastern Europe, Asia Pacific, Middle East, and Rest of the World.

Market Segmentation: 

By Technology:

  • Machine learning
  • deep learning
  • Natural Language Processing (NLP))

By Stage:

  • Pre-construction
  • Construction stage
  • Post-construction

By Component :

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

By Application:

  • Project management
  • Field management
  • Risk management
  • Schedule management
  • Supply chain management
  • Others

By Deployment Type:

  • On-Premise
  • Cloud

By Organization Size:

  • Large Enterprises
  • Small & Medium Enterprises

By Industry Type:

  • Residential
  • Institutional Commercial
  • Heavy Construction

By Region:

  • North America 

        ◦ North America, by Country 

            ▪ US 

            ▪ Canada 

            ▪ Mexico 

        ◦ North America, by Technology

        ◦ North America, by Stage

        ◦ North America, by Component

        ◦ North America, by Application

        ◦ North America, by Deployment Type

        ◦ North America, by Organization Size

        ◦ North America, by Industry Type

  • Western Europe 

        ◦ Western Europe, by Country 

            ▪ Germany 

            ▪ UK 

            ▪ France 

            ▪ Italy 

            ▪ Spain 

            ▪ The Netherlands 

            ▪ Rest of Western Europe 

        ◦ Western Europe, by Technology

        ◦ Western Europe, by Stage

        ◦ Western Europe, by Component

        ◦ Western Europe, by Application

        ◦ Western Europe, by Deployment Type

        ◦ Western Europe, by Organization Size

        ◦ Western Europe, by Industry Type

  • Asia Pacific 

        ◦ Asia Pacific, by Country 

            ▪ China 

            ▪ India 

            ▪ Japan 

            ▪ South Korea 

            ▪ Australia 

            ▪ Indonesia 

            ▪ Rest of Asia Pacific 

        ◦ Asia Pacific, by Technology

        ◦ Asia Pacific, by Stage

        ◦ Asia Pacific, by Component

        ◦ Asia Pacific, by Application

        ◦ Asia Pacific, by Deployment Type

        ◦ Asia Pacific, by Organization Size

        ◦ Asia Pacific, by Industry Type

  • Eastern Europe 

        ◦ Eastern Europe, by Country 

            ▪ Russia 

            ▪ Turkey 

            ▪ Rest of Eastern Europe 

        ◦ Eastern Europe, by Technology

        ◦ Eastern Europe, by Stage

        ◦ Eastern Europe, by Component

        ◦ Eastern Europe, by Application

        ◦ Eastern Europe, by Deployment Type

        ◦ Eastern Europe, by Organization Size

        ◦ Eastern Europe, by Industry Type

  • Middle East 

        ◦ Middle East, by Country 

            ▪ UAE 

            ▪ Saudi Arabia 

            ▪ Qatar 

            ▪ Iran 

            ▪ Rest of Middle East

        ◦ Middle East, by Technology

        ◦ Middle East, by Stage

        ◦ Middle East, by Component

        ◦ Middle East, by Application

        ◦ Middle East, by Deployment Type

        ◦ Middle East, by Organization Size

        ◦ Middle East, by Industry Type

  • Rest of the World 

        ◦ Rest of the World, by Country 

            ▪ South America 

            ▪ Africa 

        ◦ Rest of the World, by Technology

        ◦ Rest of the World, by Stage

        ◦ Rest of the World, by Component

        ◦ Rest of the World, by Application

        ◦ Rest of the World, by Deployment Type

        ◦ Rest of the World, by Organization Size

        ◦ Rest of the World, by Industry Type

Major Companies: IBM, Microsoft, Oracle, SAP, Alice Technologies, eSUB, Smartvid.io, Aurora Computer Services, Autodesk, Building System Planning

Years Covered in the Study:

Historic Year: 2017-2018

Base Year: 2019

Estimated Year: 2020

Forecast Year: 2028

Objectives of this report:

  • To estimate market size for artificial intelligence (AI) in construction market on regional and global basis.
  • To identify major segments in artificial intelligence (AI) in construction market and evaluate their market shares and demand.
  • To provide a competitive scenario for the artificial intelligence (AI) in construction market with major developments observed by key companies in the historic years.
  • To evaluate key factors governing the dynamics of artificial intelligence (AI) in construction market with their potential gravity during the forecast period.

Reasons to Buy This Report:

  • Provides niche insights for decision about every possible segment helping in strategic decision making process.
  • Market size estimation of the artificial intelligence (AI) in construction market on a regional and global basis.
  • A unique research design for market size estimation and forecast.
  • Identification of major companies operating in the market with related developments
  • Exhaustive scope to cover all the possible segments helping every stakeholder in the artificial intelligence (AI) in construction market.

Customization:

This study is customized to meet your specific requirements:

  • By Segment
  • By Sub-segment
  • By Region/Country
  • Product Specific Competitive Analysis

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