Artificial Intelligence in Construction Market Key Players Analysis 2031
Some of the factors such as the shortage of construction labor and stringent safety regulations are propelling the growth of artificial intelligence in the construction market. Moreover, the growing construction activities due to smart city initiatives are further expected to offer significant opportunities for artificial intelligence in the construction market to grow. However, a low level of penetration is restricting the growth of artificial intelligence in the construction market.
The "Global Artificial Intelligence in Construction Market Analysis to 2031" is a specialized and in-depth study of the artificial intelligence in construction market with a focus on the global market trend. The report aims to provide an overview of the global artificial intelligence in construction market with detailed market segmentation by solution, technology, application, and geography. The global artificial intelligence in construction market is expected to witness high growth during the forecast period. The report provides key statistics on the market status of the leading market players and offers key trends and opportunities in the artificial intelligence in construction market.
The report provides a detailed overview of the industry including both qualitative and quantitative information. It provides an overview and forecast of the global artificial intelligence in construction market based on the solution, technology, and application. It also provides market size and forecast till 2031 for overall artificial intelligence in construction market with respect to five major regions, namely; North America, Europe, Asia-Pacific (APAC), Middle East and Africa (MEA) and South America (SAM). The market by each region is later sub-segmented by respective countries and segments. The report covers the analysis and forecast of 18 countries globally along with the current trend and opportunities prevailing in the region.
Besides this, the report analyzes factors affecting market from both demand and supply side and further evaluates market dynamics affecting the market during the forecast period i.e., drivers, restraints, opportunities, and future trend. The report also provides exhaustive PEST analysis for all five regions namely; North America, Europe, APAC, MEA, and South America after evaluating political, economic, social and technological factors affecting the market in these regions. Further, the report also includes ecosystem analysis for the artificial intelligence in construction market.
Also, key Artificial intelligence in construction market players influencing the market are profiled in the study along with their SWOT analysis and market strategies. The report also focuses on leading industry players with information such as company profiles, products, and services offered, financial information of the last 3 years, the key development in the past five years. Some of the key players influencing the Artificial intelligence in construction market are Autodesk, Inc., BuildingSP, Inc., Doxel Inc., IBM Corporation, Intel Corporation, NEMETSCHEK SE, NVIDIA Corporation, Salesforce.com Inc., SAP SE, and Smartvid.io, Inc. among others.
REGIONAL FRAMEWORK
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Report Coverage
Revenue forecast, Company Analysis, Industry landscape, Growth factors, and Trends
Segment Covered
This text is related
to segments covered.
Regional Scope
North America, Europe, Asia Pacific, Middle East & Africa, South & Central America
Country Scope
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to country scope.
1. INTRODUCTION
1.1. SCOPE OF THE STUDY
1.2. THE INSIGHT PARTNERS RESEARCH REPORT GUIDANCE
1.3. MARKET SEGMENTATION
1.3.1. Artificial Intelligence in Construction Market - By Solution
1.3.2. Artificial Intelligence in Construction Market - By Technology
1.3.3. Artificial Intelligence in Construction Market - By Application
1.3.4. Artificial Intelligence in Construction Market - By Region
1.3.4.1. By Country
2. KEY TAKEAWAYS
3. RESEARCH METHODOLOGY
4. ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET LANDSCAPE
4.1. OVERVIEW
4.2. ECOSYSTEM ANALYSIS
4.3. PEST ANALYSIS
4.3.1. North America - PEST Analysis
4.3.2. Europe - PEST Analysis
4.3.3. Asia Pacific (APAC) - PEST Analysis
4.3.4. Middle East & Africa (MEA) - PEST Analysis
4.3.5. South America (SAM)- PEST Analysis
5. ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET - KEY INDUSTRY DYNAMICS
5.1. KEY MARKET DRIVERS
5.2. KEY MARKET RESTRAINTS
5.3. KEY MARKET OPPORTUNITIES
5.4. FUTURE TRENDS
5.5. IMPACT ANALYSIS OF DRIVERS, RESTRAINTS & EXPECTED INFLUENCE OF COVID-19 PANDEMIC
6. ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET - GLOBAL MARKET ANALYSIS
6.1. ARTIFICIAL INTELLIGENCE IN CONSTRUCTION - GLOBAL MARKET OVERVIEW
6.2. ARTIFICIAL INTELLIGENCE IN CONSTRUCTION - GLOBAL MARKET AND FORECAST T-2028
6.3. MARKET POSITIONING/ MARKET SHARE
7. ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET REVENUE AND FORECASTS T-2028 - SOLUTION
7.1. OVERVIEW
7.2. SOLUTION MARKET FORECASTS AND ANALYSIS
7.3. PLANNING AND DESIGN
7.3.1. Overview
7.3.2. Planning and Design Market Forecast and Analysis
7.4. VIRTUAL ASSISTANT
7.4.1. Overview
7.4.2. Virtual assistant Market Forecast and Analysis
7.5. REVENUE ESTIMATION
7.5.1. Overview
7.5.2. Revenue estimation Market Forecast and Analysis
7.6. MONITORING AND MAINTENANCE
7.6.1. Overview
7.6.2. Monitoring and Maintenance Market Forecast and Analysis
7.7. DEMAND FORECASTING
7.7.1. Overview
7.7.2. Demand forecasting Market Forecast and Analysis
7.8. OTHERS
7.8.1. Overview
7.8.2. Others Market Forecast and Analysis
8. ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET REVENUE AND FORECASTS T-2028 - TECHNOLOGY
8.1. OVERVIEW
8.2. TECHNOLOGY MARKET FORECASTS AND ANALYSIS
8.3. MACHINE LEARNING (ML) AND DEEP LEARNING
8.3.1. Overview
8.3.2. Machine Learning (ML) and Deep Learning Market Forecast and Analysis
8.4. NATURAL LANGUAGE PROCESSING (NLP)
8.4.1. Overview
8.4.2. Natural Language Processing (NLP) Market Forecast and Analysis
9. ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET REVENUE AND FORECASTS T-2028 - APPLICATION
9.1. OVERVIEW
9.2. APPLICATION MARKET FORECASTS AND ANALYSIS
9.3. INDUSTRIAL
9.3.1. Overview
9.3.2. Industrial Market Forecast and Analysis
9.4. INFRASTRUCTURAL
9.4.1. Overview
9.4.2. Infrastructural Market Forecast and Analysis
9.5. RESIDENTIAL
9.5.1. Overview
9.5.2. Residential Market Forecast and Analysis
9.6. COMMERCIAL
9.6.1. Overview
9.6.2. Commercial Market Forecast and Analysis
10. ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET REVENUE AND FORECASTS T-2028 - GEOGRAPHICAL ANALYSIS
10.1. NORTH AMERICA
10.1.1. North America Artificial Intelligence in Construction Market Overview
10.1.2. North America Artificial Intelligence in Construction Market Forecasts and Analysis
10.1.3. North America Market Forecasts and Analysis - By Solution
10.1.4. North America Market Forecasts and Analysis - By Technology
10.1.5. North America Market Forecasts and Analysis - By Application
10.1.6. North America Market Forecasts and Analysis - By Countries
10.1.6.1. US market
10.1.6.1.1. US Market by Solution
10.1.6.1.2. US Market by Technology
10.1.6.1.3. US Market by Application
10.1.6.2. Canada market
10.1.6.2.1. Canada Market by Solution
10.1.6.2.2. Canada Market by Technology
10.1.6.2.3. Canada Market by Application
10.1.6.3. Mexic-market
10.1.6.3.1. Mexic-Market by Solution
10.1.6.3.2. Mexic-Market by Technology
10.1.6.3.3. Mexic-Market by Application
10.2. EUROPE
10.2.1. Europe Artificial Intelligence in Construction Market Overview
10.2.2. Europe Artificial Intelligence in Construction Market Forecasts and Analysis
10.2.3. Europe Market Forecasts and Analysis - By Solution
10.2.4. Europe Market Forecasts and Analysis - By Technology
10.2.5. Europe Market Forecasts and Analysis - By Application
10.2.6. Europe Market Forecasts and Analysis - By Countries
10.2.6.1. France market
10.2.6.1.1. France Market by Solution
10.2.6.1.2. France Market by Technology
10.2.6.1.3. France Market by Application
10.2.6.2. Germany market
10.2.6.2.1. Germany Market by Solution
10.2.6.2.2. Germany Market by Technology
10.2.6.2.3. Germany Market by Application
10.2.6.3. Italy market
10.2.6.3.1. Italy Market by Solution
10.2.6.3.2. Italy Market by Technology
10.2.6.3.3. Italy Market by Application
10.2.6.4. Russia market
10.2.6.4.1. Russia Market by Solution
10.2.6.4.2. Russia Market by Technology
10.2.6.4.3. Russia Market by Application
10.2.6.5. UK market
10.2.6.5.1. UK Market by Solution
10.2.6.5.2. UK Market by Technology
10.2.6.5.3. UK Market by Application
10.2.6.6. Rest of Europe market
10.2.6.6.1. Rest of Europe Market by Solution
10.2.6.6.2. Rest of Europe Market by Technology
10.2.6.6.3. Rest of Europe Market by Application
10.3. ASIA PACIFIC (APAC)
10.3.1. Asia Pacific Artificial Intelligence in Construction Market Overview
10.3.2. Asia Pacific Artificial Intelligence in Construction Market Forecasts and Analysis
10.3.3. Asia Pacific Market Forecasts and Analysis - By Solution
10.3.4. Asia Pacific Market Forecasts and Analysis - By Technology
10.3.5. Asia Pacific Market Forecasts and Analysis - By Application
10.3.6. Asia Pacific Market Forecasts and Analysis - By Countries
10.3.6.1. South Korea
10.3.6.1.1. South Korea Market by Solution
10.3.6.1.2. South Korea Market by Technology
10.3.6.1.3. South Korea Market by Application
10.3.6.2. China market
10.3.6.2.1. China Market by Solution
10.3.6.2.2. China Market by Technology
10.3.6.2.3. China Market by Application
10.3.6.3. India market
10.3.6.3.1. India Market by Solution
10.3.6.3.2. India Market by Technology
10.3.6.3.3. India Market by Application
10.3.6.4. Japan market
10.3.6.4.1. Japan Market by Solution
10.3.6.4.2. Japan Market by Technology
10.3.6.4.3. Japan Market by Application
10.3.6.5. Australia market
10.3.6.5.1. Australia Market by Solution
10.3.6.5.2. Australia Market by Technology
10.3.6.5.3. Australia Market by Application
10.3.6.6. Rest of APAC market
10.3.6.6.1. Rest of APAC Market by Solution
10.3.6.6.2. Rest of APAC Market by Technology
10.3.6.6.3. Rest of APAC Market by Application
10.4. MIDDLE EAST AND AFRICA (MEA)
10.4.1. Middle East and Africa Artificial Intelligence in Construction Market Overview
10.4.2. Middle East and Africa Artificial Intelligence in Construction Market Forecasts and Analysis
10.4.3. Middle East and Africa Market Forecasts and Analysis - By Solution
10.4.4. Middle East and Africa Market Forecasts and Analysis - By Technology
10.4.5. Middle East and Africa Market Forecasts and Analysis - By Application
10.4.6. Middle East and Africa Market Forecasts and Analysis - By Countries
10.4.6.1. South Africa market
10.4.6.1.1. South Africa Market by Solution
10.4.6.1.2. South Africa Market by Technology
10.4.6.1.3. South Africa Market by Application
10.4.6.2. Saudi Arabia market
10.4.6.2.1. Saudi Arabia Market by Solution
10.4.6.2.2. Saudi Arabia Market by Technology
10.4.6.2.3. Saudi Arabia Market by Application
10.4.6.3. UAE market
10.4.6.3.1. UAE Market by Solution
10.4.6.3.2. UAE Market by Technology
10.4.6.3.3. UAE Market by Application
10.4.6.4. Rest of MEA market
10.4.6.4.1. Rest of MEA Market by Solution
10.4.6.4.2. Rest of MEA Market by Technology
10.4.6.4.3. Rest of MEA Market by Application
10.5. SOUTH AMERICA (SAM)
10.5.1. South America Artificial Intelligence in Construction Market Overview
10.5.2. South America Artificial Intelligence in Construction Market Forecasts and Analysis
10.5.3. South America Market Forecasts and Analysis - By Solution
10.5.4. South America Market Forecasts and Analysis - By Technology
10.5.5. South America Market Forecasts and Analysis - By Application
10.5.6. South America Market Forecasts and Analysis - By Countries
10.5.6.1. Brazil market
10.5.6.1.1. Brazil Market by Solution
10.5.6.1.2. Brazil Market by Technology
10.5.6.1.3. Brazil Market by Application
10.5.6.2. Argentina market
10.5.6.2.1. Argentina Market by Solution
10.5.6.2.2. Argentina Market by Technology
10.5.6.2.3. Argentina Market by Application
10.5.6.3. Rest of SAM market
10.5.6.3.1. Rest of SAM Market by Solution
10.5.6.3.2. Rest of SAM Market by Technology
10.5.6.3.3. Rest of SAM Market by Application
11. INDUSTRY LANDSCAPE
11.1. MERGERS & ACQUISITIONS
11.2. MARKET INITIATIVES
11.3. NEW DEVELOPMENTS
12. ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET, KEY COMPANY PROFILES
12.1. AUTODESK, INC.
12.1.1. Key Facts
12.1.2. Business Description
12.1.3. Products & Solutions
12.1.4. Financial Overview
12.1.5. SWOT Analysis
12.1.6. Key Developments
12.2. BUILDINGSP, INC.
12.2.1. Key Facts
12.2.2. Business Description
12.2.3. Products & Solutions
12.2.4. Financial Overview
12.2.5. SWOT Analysis
12.2.6. Key Developments
12.3. DOXEL INC.
12.3.1. Key Facts
12.3.2. Business Description
12.3.3. Products & Solutions
12.3.4. Financial Overview
12.3.5. SWOT Analysis
12.3.6. Key Developments
12.4. IBM CORPORATION
12.4.1. Key Facts
12.4.2. Business Description
12.4.3. Products & Solutions
12.4.4. Financial Overview
12.4.5. SWOT Analysis
12.4.6. Key Developments
12.5. INTEL CORPORATION
12.5.1. Key Facts
12.5.2. Business Description
12.5.3. Products & Solutions
12.5.4. Financial Overview
12.5.5. SWOT Analysis
12.5.6. Key Developments
12.6. NEMETSCHEK SE
12.6.1. Key Facts
12.6.2. Business Description
12.6.3. Products & Solutions
12.6.4. Financial Overview
12.6.5. SWOT Analysis
12.6.6. Key Developments
12.7. NVIDIA CORPORATION
12.7.1. Key Facts
12.7.2. Business Description
12.7.3. Products & Solutions
12.7.4. Financial Overview
12.7.5. SWOT Analysis
12.7.6. Key Developments
12.8. SALESFORCE.COM INC.
12.8.1. Key Facts
12.8.2. Business Description
12.8.3. Products & Solutions
12.8.4. Financial Overview
12.8.5. SWOT Analysis
12.8.6. Key Developments
12.9. SAP SE
12.9.1. Key Facts
12.9.2. Business Description
12.9.3. Products & Solutions
12.9.4. Financial Overview
12.9.5. SWOT Analysis
12.9.6. Key Developments
12.10. SMARTVID.IO, INC.
12.10.1. Key Facts
12.10.2. Business Description
12.10.3. Products & Solutions
12.10.4. Financial Overview
12.10.5. SWOT Analysis
12.10.6. Key Developments
13. APPENDIX
13.1. ABOUT THE INSIGHT PARTNERS
13.2. GLOSSARY OF TERMS
1. Autodesk, Inc.
2. BuildingSP, Inc.
3. Doxel Inc.
4. IBM Corporation
5. Intel Corporation
6. NEMETSCHEK SE
7. NVIDIA Corporation
8. Salesforce.com Inc.
9. SAP SE
10. Smartvid.io, Inc.
The Insight Partners performs research in 4 major stages: Data Collection & Secondary Research, Primary Research, Data Analysis and Data Triangulation & Final Review.
- Data Collection and Secondary Research:
As a market research and consulting firm operating from a decade, we have published many reports and advised several clients across the globe. First step for any study will start with an assessment of currently available data and insights from existing reports. Further, historical and current market information is collected from Investor Presentations, Annual Reports, SEC Filings, etc., and other information related to company’s performance and market positioning are gathered from Paid Databases (Factiva, Hoovers, and Reuters) and various other publications available in public domain.
Several associations trade associates, technical forums, institutes, societies and organizations are accessed to gain technical as well as market related insights through their publications such as research papers, blogs and press releases related to the studies are referred to get cues about the market. Further, white papers, journals, magazines, and other news articles published in the last 3 years are scrutinized and analyzed to understand the current market trends.
- Primary Research:
The primarily interview analysis comprise of data obtained from industry participants interview and answers to survey questions gathered by in-house primary team.
For primary research, interviews are conducted with industry experts/CEOs/Marketing Managers/Sales Managers/VPs/Subject Matter Experts from both demand and supply side to get a 360-degree view of the market. The primary team conducts several interviews based on the complexity of the markets to understand the various market trends and dynamics which makes research more credible and precise.
A typical research interview fulfils the following functions:
- Provides first-hand information on the market size, market trends, growth trends, competitive landscape, and outlook
- Validates and strengthens in-house secondary research findings
- Develops the analysis team’s expertise and market understanding
Primary research involves email interactions and telephone interviews for each market, category, segment, and sub-segment across geographies. The participants who typically take part in such a process include, but are not limited to:
- Industry participants: VPs, business development managers, market intelligence managers and national sales managers
- Outside experts: Valuation experts, research analysts and key opinion leaders specializing in the electronics and semiconductor industry.
Below is the breakup of our primary respondents by company, designation, and region:
Once we receive the confirmation from primary research sources or primary respondents, we finalize the base year market estimation and forecast the data as per the macroeconomic and microeconomic factors assessed during data collection.
- Data Analysis:
Once data is validated through both secondary as well as primary respondents, we finalize the market estimations by hypothesis formulation and factor analysis at regional and country level.
- 3.1 Macro-Economic Factor Analysis:
We analyse macroeconomic indicators such the gross domestic product (GDP), increase in the demand for goods and services across industries, technological advancement, regional economic growth, governmental policies, the influence of COVID-19, PEST analysis, and other aspects. This analysis aids in setting benchmarks for various nations/regions and approximating market splits. Additionally, the general trend of the aforementioned components aid in determining the market's development possibilities.
- 3.2 Country Level Data:
Various factors that are especially aligned to the country are taken into account to determine the market size for a certain area and country, including the presence of vendors, such as headquarters and offices, the country's GDP, demand patterns, and industry growth. To comprehend the market dynamics for the nation, a number of growth variables, inhibitors, application areas, and current market trends are researched. The aforementioned elements aid in determining the country's overall market's growth potential.
- 3.3 Company Profile:
The “Table of Contents” is formulated by listing and analyzing more than 25 - 30 companies operating in the market ecosystem across geographies. However, we profile only 10 companies as a standard practice in our syndicate reports. These 10 companies comprise leading, emerging, and regional players. Nonetheless, our analysis is not restricted to the 10 listed companies, we also analyze other companies present in the market to develop a holistic view and understand the prevailing trends. The “Company Profiles” section in the report covers key facts, business description, products & services, financial information, SWOT analysis, and key developments. The financial information presented is extracted from the annual reports and official documents of the publicly listed companies. Upon collecting the information for the sections of respective companies, we verify them via various primary sources and then compile the data in respective company profiles. The company level information helps us in deriving the base number as well as in forecasting the market size.
- 3.4 Developing Base Number:
Aggregation of sales statistics (2020-2022) and macro-economic factor, and other secondary and primary research insights are utilized to arrive at base number and related market shares for 2022. The data gaps are identified in this step and relevant market data is analyzed, collected from paid primary interviews or databases. On finalizing the base year market size, forecasts are developed on the basis of macro-economic, industry and market growth factors and company level analysis.
- Data Triangulation and Final Review:
The market findings and base year market size calculations are validated from supply as well as demand side. Demand side validations are based on macro-economic factor analysis and benchmarks for respective regions and countries. In case of supply side validations, revenues of major companies are estimated (in case not available) based on industry benchmark, approximate number of employees, product portfolio, and primary interviews revenues are gathered. Further revenue from target product/service segment is assessed to avoid overshooting of market statistics. In case of heavy deviations between supply and demand side values, all thes steps are repeated to achieve synchronization.
We follow an iterative model, wherein we share our research findings with Subject Matter Experts (SME’s) and Key Opinion Leaders (KOLs) until consensus view of the market is not formulated – this model negates any drastic deviation in the opinions of experts. Only validated and universally acceptable research findings are quoted in our reports.
We have important check points that we use to validate our research findings – which we call – data triangulation, where we validate the information, we generate from secondary sources with primary interviews and then we re-validate with our internal data bases and Subject matter experts. This comprehensive model enables us to deliver high quality, reliable data in shortest possible time.
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