Artificial Intelligence (ai) In Construction Industry By Technology (natural Language Processing And Machine Learning And Deep Learning) By Stage (pre-construction, Construction Stage And Post-construction) By Component (solutions And Services) By Application (project Management, Risk Management, Field Management, Supply Chain Management And Schedule Management) By Deployment Type (on-premises And Cloud) - Global Market Analysis & Forecast To 2025

Published On : July 2018 Pages : 195 Category: Next Generation Technology Report Code : IC071084

Industry Outlook and Trend Analysis

The Artificial Intelligence (AI) in Construction Industry has observed significant growth in the recent years and is foreseen to grow tremendously over the forecast period. In the construction sector, artificial intelligence (AI) has transformed the way structures are constructed, designed and used after being built. Artificial intelligence is when machines reflect their own intelligence by the means of using calculations to take care of issues with the help inputted data. With the help of robotics, construction supervisors can use intelligent machines that can perform routine tasks that were once done by people, for example, bricklaying. AI systems can gather and compose data for specialists to use in task design and planning execution.

Drivers and Restraints Of The Industry

AI in Construction Industry is majorly driven by the rising security and productivity concerns. The construction organizations are adopting AI technology to separate exact data and bits of knowledge to upgrade the efficiency and safety. The expanding digital data is additionally driving artificial intelligence in construction market development. In the course of recent years, a quick surge in the development of the computerized information has been seen because of the developing reception of Building Information Systems (BIM), drones, security sensors, and machine telematics. The implementation of the robots, autonomous vehicles, and drones in the development division is additionally backing the development of the AI in construction market. Nonetheless, the unstructured construction condition and lacking skilled workforce are the main aspects that are inhibiting the market development.

Market Segmentation

The Artificial Intelligence (AI) in Construction Market is segmented on the basis of technology into natural language processing and machine learning and deep learning out of which the machine learning and deep learning segment is anticipated to have the larger market size as it is useful in the industry in terms of automating business functions. Based on stage the market is segmented into pre-construction, construction stage and post-construction. By component the market is segmented into Solutions and Services. By applications the market is segmented into project management, risk management, field management, supply chain management and schedule management. By deployment the market is segmented into on-premise and cloud out of which the leading segment is the cloud deployment type as it offers multiple advantages, such as reduced cost of operation and maintenance, lesser complications, and more scalability.

Regional Outlook and Trend Analysis

North America is anticipated to have the biggest market estimate in the AI in construction market amid the gauge time frame. The North American area has dependably remained ahead in technological implementation and is a center point for some, in fact propelled construction organizations. Moreover, construction companies in the North American region have made major investments in the market, and many vendors have evolved to cater to the quickly developing market. Substantial development is anticipated in the region during the forecast period.

Competitive Insights

The leading players in the market are Oracle Corporation, eSUB Construction Software, AURORA COMPUTER SERVICES LIMITED, IBM, Building SP, SAP SE, Alice Technologies and Microsoft Corporation. The major players in the market are profiled in detail in view of qualities, for example, company portfolio, business strategies, financial overview, recent developments, and share of the overall industry.

By Region

  • North America
    • U.S.
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • France
    • Russia
    • Italy
    • Rest of Europe
  • Asia-Pacific
    • China
    • Japan
    • South Korea
    • India
    • Southeast Asia
    • Rest of Asia-Pacific
  • South America
    • Brazil
    • Argentina
    • Columbia
    • South Africa
    • Rest of South America
  • Middle East and Africa
    • Saudi Arabia
    • UAE
    • Egypt
    • Nigeria
    • South Africa
    • Rest of MEA

Some of the key questions answered by the report are:

  • What was the market size in 2014 and forecast from 2015 to 2025?
  • What will be the industry market growth from 2015 to 2025?
  • What are the major drivers, restraints, opportunities, challenges, and industry trends and their impact on the market forecast?
  • What are the major segments leading the market growth and why?
  • Which are the leading players in the market and what are the major strategies adopted by them to sustain the market competition?

Market Classification

·         Artificial Intelligence (AI) In Construction Market, By Technology, Estimates and Forecast, 2014-2023 ($Million)

·         Natural Language Processing

·         Machine Learning and Deep Learning

·         Artificial Intelligence (AI) In Construction Market, By Stage, Estimates and Forecast, 2014-2023 ($Million)

·         Pre-Construction

·         Construction Stage

·         Post-Construction

·         Artificial Intelligence (AI) In Construction Market, By Component, Estimates and Forecast, 2014-2023 ($Million)

·         Solutions

·         Services

·         Artificial Intelligence (AI) In Construction Market, By Application, Estimates and Forecast, 2014-2023 ($Million)

·         Project Management

·         Risk Management

·         Field Management

·         Supply ChAIn Management

·         Schedule Management

·         Others

·         Artificial Intelligence (AI) In Construction Market, By Deployment Type, Estimates and Forecast, 2014-2023 ($Million)

·         On-Premise

·         Cloud

·         Artificial Intelligence (AI) In Construction Market, By Region, Estimates and Forecast, 2014-2023 ($Million)

·         North America

§  North America Artificial Intelligence (AI) In Construction Market, By Country

o    U.S. Artificial Intelligence (AI) In Construction Market

o    Canada Artificial Intelligence (AI) In Construction Market

o    Mexico Artificial Intelligence (AI) In Construction Market

·         Europe

§  Europe Artificial Intelligence (AI) In Construction Market, By Country

o    Germany Artificial Intelligence (AI) In Construction Market

o    UK Artificial Intelligence (AI) In Construction Market

o    France Artificial Intelligence (AI) In Construction Market

o    Russia Artificial Intelligence (AI) In Construction Market

o    Italy Artificial Intelligence (AI) In Construction Market

o    Rest of Europe Artificial Intelligence (AI) In Construction Market

·         Asia-Pacific

§  Asia-Pacific Artificial Intelligence (AI) In Construction Market, By Country

o    China Artificial Intelligence (AI) In Construction Market

o    Japan Artificial Intelligence (AI) In Construction Market

o    South Korea Artificial Intelligence (AI) In Construction Market

o    India Artificial Intelligence (AI) In Construction Market

o    Southeast Asia Artificial Intelligence (AI) In Construction Market

o    Rest of Asia-Pacific Artificial Intelligence (AI) In Construction Market

·         South America

§  South America Artificial Intelligence (AI) In Construction Market

o    Brazil Artificial Intelligence (AI) In Construction Market

o    Argentina Artificial Intelligence (AI) In Construction Market

o    Columbia Artificial Intelligence (AI) In Construction Market

o    South Africa Artificial Intelligence (AI) In Construction Market

o    Rest of South America Artificial Intelligence (AI) In Construction Market

·         Middle East and Africa

§  Middle East and Africa Artificial Intelligence (AI) In Construction Market

o    Saudi Arabia Artificial Intelligence (AI) In Construction Market

o    UAE Artificial Intelligence (AI) In Construction Market

o    Egypt Artificial Intelligence (AI) In Construction Market

o    Nigeria Artificial Intelligence (AI) In Construction Market

o    South Africa Artificial Intelligence (AI) In Construction Market

Rest of MEA Artificial Intelligence (AI) In Construction Market

Table of Contents

1.       Introduction

1.1.       Report Description

1.2.       Research Methodology

1.2.1.  Secondary Research

1.2.2.  Primary Research

2.       Executive Summary

2.1.       Key Highlights

3.       Market Overview

3.1.       Introduction

3.1.1.  Market Definition

3.1.2.  Market Segmentation

3.2.       Market Dynamics

3.2.1.  Drivers

3.2.2.  RestrAInts

3.2.3.  Opportunities

3.2.3.1.    Emerging Markets to Offer Lucrative Growth Opportunities

4.       Market Analysis by Regions

4.1.       North America (United States, Canada and Mexico)

4.1.1.  United States Market States and Outlook (2013-2025)

4.1.2.  Canada Market States and Outlook (2013-2025)

4.1.3.  Mexico Market States and Outlook (2013-2025)

4.2.       Europe (Germany, France, UK, Russia, Italy and Rest of Europe)

4.2.1.  Germany Market States and Outlook (2013-2025)

4.2.2.  France Market States and Outlook (2013-2025)

4.2.3.  UK Market States and Outlook (2013-2025)

4.2.4.  Russia Market States and Outlook (2013-2025)

4.2.5.  Italy Market States and Outlook (2013-2025)

4.2.6.  Rest of Europe Market States and Outlook (2013-2025)

4.3.       Asia-Pacific (China, Japan, Korea, India, Southeast Asia and Rest of Asia-Pacific)

4.3.1.  China Market States and Outlook (2013-2025)

4.3.2.  Japan Market States and Outlook (2013-2025)

4.3.3.  Korea Market States and Outlook (2013-2025)

4.3.4.  India Market States and Outlook (2013-2025)

4.3.5.  Rest of Asia-Pacific Market States and Outlook (2013-2025)

4.4.       South America (Brazil, Argentina, Columbia and Rest of South America)

4.4.1.  Brazil Market States and Outlook (2013-2025)

4.4.2.  Argentina Market States and Outlook (2013-2025)

4.4.3.  Columbia Market States and Outlook (2013-2025)

4.4.4.  Rest of South America Market States and Outlook (2013-2025)

4.5.       Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria, South Africa and Rest of MEA)

4.5.1.  Saudi Arabia Market States and Outlook (2013-2025)

4.5.2.  UAE Market States and Outlook (2013-2025)

4.5.3.  Egypt Market States and Outlook (2013-2025)

4.5.4.  Nigeria Market States and Outlook (2013-2025)

4.5.5.  South Africa Market States and Outlook (2013-2025)

4.5.6.  Rest of MEA Market States and Outlook (2013-2025)

5.       Artificial Intelligence (AI) In Construction Market, By Technology

5.1.       Introduction

5.2.       Global Artificial Intelligence (AI) In Construction Revenue and Market Share By Technology (2013-2018)

5.2.1.  Global Artificial Intelligence (AI) In Construction Revenue and Revenue Share By Technology (2013-2018)

5.3.       Natural Language Processing

5.3.1.1.    Global Natural Language Processing Revenue and Growth Rate (2013-2018)

5.4.       Machine Learning and Deep Learning 

5.4.1.1.    Global Machine Learning and Deep Learning Revenue and Growth Rate (2013-2018)

6.       Artificial Intelligence (AI) In Construction Market, By Stage

6.1.       Introduction

6.2.       Global Artificial Intelligence (AI) In Construction Revenue and Market Share By Stage (2013-2018)

6.2.1.  Global Artificial Intelligence (AI) In Construction Revenue and Revenue Share By Stage (2013-2018)

6.3.       Pre-Construction

6.3.1.  Global Pre-Construction Revenue and Growth Rate (2013-2018)

6.4.       Construction Stage

6.4.1.  Global Construction Stage Revenue and Growth Rate (2013-2018)

6.5.       Post-Construction

6.5.1.  Global Post-Construction Revenue and Growth Rate (2013-2018)

7.       Artificial Intelligence (AI) In Construction Market, By Component

7.1.       Introduction

7.2.       Global Artificial Intelligence (AI) In Construction Revenue and Market Share By Component (2013-2018)

7.2.1.  Global Artificial Intelligence (AI) In Construction Revenue and Revenue Share By Component (2013-2018)

7.3.       Solutions 

7.3.1.  Global Solutions Revenue and Growth Rate (2013-2018)

7.4.       Services 

7.4.1.  Global Services Stage Revenue and Growth Rate (2013-2018)

8.       Artificial Intelligence (AI) In Construction Market, By Application

8.1.       Introduction

8.2.       Global Artificial Intelligence (AI) In Construction Revenue and Market Share By Application (2013-2018)

8.2.1.  Global Artificial Intelligence (AI) In Construction Revenue and Revenue Share By Application (2013-2018)

8.3.       Project Management

8.3.1.  Global Project Management Revenue and Growth Rate (2013-2018)

8.4.       Risk Management

8.4.1.  Global Risk Management Revenue and Growth Rate (2013-2018)

8.5.       Field Management

8.5.1.  Global Field Management Revenue and Growth Rate (2013-2018) Small and Medium Enterprises (SMEs)

8.6.       Supply ChAIn Management

8.6.1.  Global Supply ChAIn Management Revenue and Growth Rate (2013-2018)

8.7.       Schedule Management

8.7.1.  Global Schedule Management Revenue and Growth Rate (2013-2018)

8.8.       Others

8.8.1.  Global Others Revenue and Growth Rate (2013-2018)

9.       Artificial Intelligence (AI) In Construction Market, By Deployment Type

9.1.       Introduction

9.2.       Global Artificial Intelligence (AI) In Construction Revenue, Revenue and Market Share By Deployment Type (2013-2018)

9.2.1.  Global Artificial Intelligence (AI) In Construction Revenue and Revenue Share By Deployment Type (2013-2018)

9.3.       On-Premise

9.3.1.  Global On-Premise Revenue and Growth Rate (2013-2018)

9.4.       Cloud

9.4.1.  Global Cloud Revenue and Growth Rate (2013-2018)

10.   Artificial Intelligence (AI) In Construction Market, By Region

10.1.    Introduction

10.2.    Global Artificial Intelligence (AI) In Construction Revenue, Revenue and Market Share by Regions

10.2.1.      Global Artificial Intelligence (AI) In Construction Revenue by Regions (2013-2018)

10.3.    North America Artificial Intelligence (AI) In Construction by Countries

10.3.1.      North America Artificial Intelligence (AI) In Construction Revenue and Growth Rate (2013-2018)

10.3.2.      North America Artificial Intelligence (AI) In Construction Revenue (Million USD) by Countries (2013-2018)

10.3.3.      U.S.

10.3.3.1. United States Artificial Intelligence (AI) In Construction Revenue (Millions USD) and Growth Rate (2013-2018)

10.3.4.      Canada

10.3.4.1. Canada Artificial Intelligence (AI) In Construction Revenue (Millions USD) and Growth Rate (2013-2018)

10.3.5.      Mexico

10.3.5.1. Mexico Artificial Intelligence (AI) In Construction Revenue (Millions USD) and Growth Rate (2013-2018)

10.4.    Europe Artificial Intelligence (AI) In Construction by Countries

10.4.1.      Europe Artificial Intelligence (AI) In Construction Revenue and Growth Rate (2013-2018)

10.4.2.      Europe Artificial Intelligence (AI) In Construction Revenue (Million USD) by Countries (2013-2018)

10.4.3.      Germany

10.4.3.1. Germany Artificial Intelligence (AI) In Construction Revenue (Millions USD) and Growth Rate (2013-2018)

10.4.4.      UK

10.4.4.1. UK Artificial Intelligence (AI) In Construction Revenue (Millions USD) and Growth Rate (2013-2018)

10.4.5.      France

10.4.5.1. France Artificial Intelligence (AI) In Construction Revenue (Millions USD) and Growth Rate (2013-2018)

10.4.6.      Russia

10.4.6.1. Russia Artificial Intelligence (AI) In Construction Revenue (Millions USD) and Growth Rate (2013-2018)

10.4.7.      Italy

10.4.7.1. Italy Artificial Intelligence (AI) In Construction Revenue (Millions USD) and Growth Rate (2013-2018)

10.4.8.      Rest of Europe

10.4.8.1. Rest of Europe Artificial Intelligence (AI) In Construction Revenue (Millions USD) and Growth Rate (2013-2018)

10.5.    Asia-Pacific

10.5.1.      Asia-Pacific Artificial Intelligence (AI) In Construction Revenue and Growth Rate (2013-2018)

10.5.2.      Asia-Pacific Artificial Intelligence (AI) In Construction Revenue (Million USD) by Countries (2013-2018)

10.5.3.      China

10.5.3.1. China Artificial Intelligence (AI) In Construction Revenue (Millions USD) and Growth Rate (2013-2018)

10.5.4.      Japan

10.5.4.1. Japan Artificial Intelligence (AI) In Construction Revenue (Millions USD) and Growth Rate (2013-2018)

10.5.5.      Korea

10.5.5.1. Korea Artificial Intelligence (AI) In Construction Revenue (Millions USD) and Growth Rate (2013-2018)

10.5.6.      India

10.5.6.1. India Artificial Intelligence (AI) In Construction Revenue (Millions USD) and Growth Rate (2013-2018)

10.5.7.      Southeast Asia

10.5.7.1. Southeast Asia Artificial Intelligence (AI) In Construction Revenue (Millions USD) and Growth Rate (2013-2018)

10.5.8.      Rest of Asia-Pacific

10.5.8.1. Rest of Asia-Pacific Artificial Intelligence (AI) In Construction Revenue (Millions USD) and Growth Rate (2013-2018)

10.6.    South America

10.6.1.      South America Artificial Intelligence (AI) In Construction Revenue and Growth Rate (2013-2018)

10.6.2.      South America Artificial Intelligence (AI) In Construction Revenue (Million USD) by Countries (2013-2018)

10.6.3.      Brazil

10.6.3.1. Brazil Artificial Intelligence (AI) In Construction Revenue (Millions USD) and Growth Rate (2013-2018)

10.6.4.      Argentina

10.6.4.1. Argentina Artificial Intelligence (AI) In Construction Revenue (Millions USD) and Growth Rate (2013-2018)

10.6.5.      Columbia

10.6.5.1. Columbia Artificial Intelligence (AI) In Construction Revenue (Millions USD) and Growth Rate (2013-2018)

10.6.6.      Rest of South America

10.6.6.1. Rest of South America Artificial Intelligence (AI) In Construction Revenue (Millions USD) and Growth Rate (2013-2018)

10.7.    Middle East and Africa

10.7.1.      Middle East and Africa Artificial Intelligence (AI) In Construction Revenue and Growth Rate (2013-2018)

10.7.2.      Middle East and Africa Artificial Intelligence (AI) In Construction Revenue (Million USD) by Countries (2013-2018)

10.7.3.      Saudi Arabia

10.7.3.1. Saudi Arabia Artificial Intelligence (AI) In Construction Revenue (Millions USD) and Growth Rate (2013-2018)

10.7.4.      United Arab Emirates

10.7.4.1. United Arab Emirates Artificial Intelligence (AI) In Construction Revenue (Millions USD) and Growth Rate (2013-2018)

10.7.5.      Egypt

10.7.5.1. Egypt Artificial Intelligence (AI) In Construction Revenue (Millions USD) and Growth Rate (2013-2018)

10.7.6.      Nigeria

10.7.6.1. Nigeria Artificial Intelligence (AI) In Construction Revenue (Millions USD) and Growth Rate (2013-2018)

10.7.7.      South Africa

10.7.7.1. South Africa Artificial Intelligence (AI) In Construction Revenue (Millions USD) and Growth Rate (2013-2018)

10.7.8.      Rest of Middle East and Africa

10.7.8.1. Rest of Middle East and Africa Artificial Intelligence (AI) In Construction Revenue (Millions USD) and Growth Rate (2013-2018)

11.   Company Profiles

11.1.      Oracle Corporation

11.1.1.      Business Overview

11.1.2.      Product Portfolio

11.1.3.      Strategic Developments

11.1.4.      Revenue and Market Share

11.2.    eSUB Construction Software

11.2.1.      Business Overview

11.2.2.      Product Portfolio

11.2.3.      Strategic Developments

11.2.4.      Revenue and Market Share

11.3.    AURORA COMPUTER SERVICES LIMITED

11.3.1.      Business Overview

11.3.2.      Product Portfolio

11.3.3.      Strategic Developments

11.3.4.      Revenue and Market Share

11.4.    IBM

11.4.1.      Business Overview

11.4.2.      Product Portfolio

11.4.3.      Strategic Developments

11.4.4.      Revenue and Market Share

11.5.    Building SP

11.5.1.      Business Overview

11.5.2.      Product Portfolio

11.5.3.      Strategic Developments

11.5.4.      Revenue and Market Share

11.6.    SAP SE

11.6.1.      Business Overview

11.6.2.      Product Portfolio

11.6.3.      Strategic Developments

11.6.4.      Revenue and Market Share

11.7.     Alice Technologies

11.7.1.      Business Overview

11.7.2.      Product Portfolio

11.7.3.      Strategic Developments

11.7.4.      Revenue and Market Share

11.8.    Microsoft Corporation

11.8.1.      Business Overview

11.8.2.      Product Portfolio

11.8.3.      Strategic Developments

11.8.4.      Revenue and Market Share

12.   Global Artificial Intelligence (AI) In Construction Market Competition, by Manufacturer

12.1.    Global Artificial Intelligence (AI) In Construction Revenue and Market Share by Manufacturer (2016-2017)

12.2.    Global Artificial Intelligence (AI) In Construction Price by Region (2016-2017)

12.3.    Top 5 Artificial Intelligence (AI) In Construction Manufacturer Market Share

12.4.    Market Competition Trend

13.   Artificial Intelligence (AI) In Construction Market Forecast (2018-2025)

13.1.    Global Artificial Intelligence (AI) In Construction Revenue, Revenue (Millions USD) and Growth Rate (2018-2025)

13.2.    Artificial Intelligence (AI) In Construction Market Forecast by Regions (2018-2025)

13.2.1.      North America Artificial Intelligence (AI) In Construction Market Forecast (2018-2025)

13.2.1.1. United States Artificial Intelligence (AI) In Construction Market Forecast (2018-2025)

13.2.1.2. Canada Artificial Intelligence (AI) In Construction Market Forecast (2018-2025)

13.2.1.3. Mexico Artificial Intelligence (AI) In Construction Market Forecast (2018-2025)

13.2.2.      Europe Artificial Intelligence (AI) In Construction Market Forecast (2018-2025)

13.2.2.1. Germany Artificial Intelligence (AI) In Construction Market Forecast (2018-2025)

13.2.2.2. United Kingdom Artificial Intelligence (AI) In Construction Market Forecast (2018-2025)

13.2.2.3. France Artificial Intelligence (AI) In Construction Market Forecast (2018-2025)

13.2.2.4. Russia Artificial Intelligence (AI) In Construction Market Forecast (2018-2025)

13.2.2.5. Italy Artificial Intelligence (AI) In Construction Market Forecast (2018-2025)

13.2.2.6. Rest of the Europe Artificial Intelligence (AI) In Construction Market Forecast (2018-2025)

13.2.3.      Asia-Pacific Artificial Intelligence (AI) In Construction Market Forecast (2018-2025)

13.2.3.1. China Artificial Intelligence (AI) In Construction Market Forecast (2018-2025)

13.2.3.2. Japan Artificial Intelligence (AI) In Construction Market Forecast (2018-2025)

13.2.3.3. Korea Artificial Intelligence (AI) In Construction Market Forecast (2018-2025)

13.2.3.4. India Artificial Intelligence (AI) In Construction Market Forecast (2018-2025)

13.2.3.5. Southeast Asia Artificial Intelligence (AI) In Construction Market Forecast (2018-2025)

13.2.3.6. Rest of Asia-Pacific Artificial Intelligence (AI) In Construction Market Forecast (2018-2025)

13.2.4.      South America Artificial Intelligence (AI) In Construction Market Forecast (2018-2025)

13.2.4.1. Brazil Artificial Intelligence (AI) In Construction Market Forecast (2018-2025)

13.2.4.2. Argentina Artificial Intelligence (AI) In Construction Market Forecast (2018-2025)

13.2.4.3. Columbia Artificial Intelligence (AI) In Construction Market Forecast (2018-2025)

13.2.4.4. Rest of South America Artificial Intelligence (AI) In Construction Market Forecast (2018-2025)

13.2.5.      Middle East and Africa Artificial Intelligence (AI) In Construction Market Forecast (2018-2025)

13.2.5.1. Saudi Arabia Artificial Intelligence (AI) In Construction Market Forecast (2018-2025)

13.2.5.2. UAE Artificial Intelligence (AI) In Construction Market Forecast (2018-2025)

13.2.5.3. Egypt Artificial Intelligence (AI) In Construction Market Forecast (2018-2025)

13.2.5.4. Nigeria Artificial Intelligence (AI) In Construction Market Forecast (2018-2025)

13.2.5.5. South Africa Artificial Intelligence (AI) In Construction Market Forecast (2018-2025)

13.2.5.6. Rest of MEA Artificial Intelligence (AI) In Construction Market Forecast (2018-2025)

13.3.    Artificial Intelligence (AI) In Construction Market Forecast By Technology (2018-2025)

13.3.1.      Global Artificial Intelligence (AI) In Construction Revenue Forecast By Technology (2018-2025)

13.3.2.      Global Artificial Intelligence (AI) In Construction Revenue Market Share Forecast By Technology (2018-2025)

13.4.    Artificial Intelligence (AI) In Construction Market Forecast By Stage (2018-2025)

13.4.1.      Global Artificial Intelligence (AI) In Construction Revenue Forecast By Stage (2018-2025)

13.4.2.      Global Artificial Intelligence (AI) In Construction Revenue Market Share Forecast By Stage (2018-2025)

13.5.    Artificial Intelligence (AI) In Construction Market Forecast By Component (2018-2025)

13.5.1.      Global Artificial Intelligence (AI) In Construction Revenue Forecast By Component (2018-2025)

13.5.2.      Global Artificial Intelligence (AI) In Construction Revenue Market Share Forecast By Component (2018-2025)

13.6.    Artificial Intelligence (AI) In Construction Market Forecast By Application (2018-2025)

13.6.1.      Global Artificial Intelligence (AI) In Construction Revenue Forecast By Application (2018-2025)

13.6.2.      Global Artificial Intelligence (AI) In Construction Revenue Market Share Forecast By Application (2018-2025)

13.7.      Artificial Intelligence (AI) In Construction Market Forecast By Deployment Type (2018-2025)

13.7.1.      Global Artificial Intelligence (AI) In Construction Revenue Forecast By Deployment Type (2018-2025)

13.7.2.      Global Artificial Intelligence (AI) In Construction Revenue Market Share Forecast By Deployment Type (2018-2025)


List of Tables

*You can glance through the list of Tables and Figures when you view the sample copy of Artificial Intelligence (AI) In Construction Market.


Research Methodology

We use both primary as well as secondary research for our market surveys, estimates and for developing forecast. Our research process commence by analyzing the problem which enable us to design the scope for our research study. Our research process is uniquely designed with enough flexibility to adjust according to changing nature of products and markets, while retaining core element to ensure reliability and accuracy in research findings. We understand both macro and micro-economic factors to evaluate and forecast different market segments.

Data Mining

Data is extensively collected through various secondary sources such as annual reports, investor presentations, SEC filings, and other corporate publications. We also refer trade magazines, technical journals, paid databases such as Factiva and Bloomberg, industry trade journals, scientific journals, and social media data to understand market dynamics and industry trends. Further, we also conduct primary research to understand market drivers, restraints, opportunities, challenges, and competitive scenario to build our analysis.

Data Collection Matrix

Data Collection Matrix

Supply Side

Demand Side

Primary Data Sources

  • Manufacturers
  • Distributors & Wholesalers
  • GPOs
  • Physicians/Specialist
  • Healthcare Providers
  • Consumers

Secondary Data Sources

  • Annual Reports/SEC Filings/ Investor Presentations/ Press Releases
  • Government/Associations Publications
  • Case Studies
  • Reference Customers

 

Market Modeling and Forecasting

We use epidemiology and capital equipment-based models to forecast market size of different segments at country and regional level.

  • Epidemiology-based Forecasting Model: This method uses epidemiology data gathered through various publications and from physicians to estimate population of patients, flow of treatment of individual disease and therapies. The data collected through this method includes statics on incidence of disease, population suffering from disease, and treatment population. This method is used to understand:
  • Number of patients for particular device or medical procedure and
  • Repeated use of particular device depending on health and condition of patient
  • Capital-based Forecasting Model: This method of forecasting is based on number of replacements, installed-based and new sales of capital equipment used in various healthcare and diagnostic centers. These three parameters are calculated and forecast is developed. Installation base is calculated as average number of units per facility; while sales for particular year is calculated from number of new and replace units. Secondary data is collected through various supply chain intermediaries and opinion leaders to arrive at installation and sales rate. These techniques help our analysts in validating market and developed market estimates and forecast.

We do forecast on basis of several parameters such as market drivers, market opportunities, industry trends government regulations, raw materials supply and trade dynamics to ensure relevance of forecast with market scenario. With increasing need to granulized information, we used bottom-up methodology for forecasting where we evaluate each regional segment differently and combined all forecast to develop final market forecast.

Data Validation

We believe primary research is a very important tool in analyzing and forecasting different markets. In order to make sure accuracy of our findings, our team conducts primary interviews at every stage of research to gain deep insights into current business environment and future trends and key developments in market. This includes use of various methods such as telephonic interviews, focus groups, face to face interviews and questionnaires to validate our research from all aspects. We validate our data through primary research from key industry leaders such as CEO, product managers, marketing managers, suppliers, distributors, and consumers are frequently interviewed. These interviews provide valuable insights which help us to have better market understanding besides validating our estimates and forecast.

Data Triangulation

data triangulation

Industry Analysis

Qualitative Data

Quantitative Data (2017-2025)

  • Market Dynamics (Drivers, Restraints, and Challenges)
  • Industry Trend Analysis
  • Market Opportunities
  • Government Policies and Regulations, Patent Analysis, and Reimbursement Policies
  • Porter’s Five Forces and PESTLE Analysis
  • Key Developments and Competitive Landscape
  • Market Assessment and Forecast
  • Market Assessment and Forecast, By Product
  • Market Assessment and Forecast, By Technology
  • Market Assessment and Forecast, By Application
  • Market Assessment and Forecast, By End User
  • Market Assessment and Forecast, By Region/Country

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