Artificial Intelligence In Construction Market Size to Worth Around USD 2.1 Billion by 2026
The most recent research report on the Artificial Intelligence In Construction Market includes precise Market analysis based on Market aspects such as trends, share, forecast, outlook, production, and future development trends, as well as present and future Market status. The report also explains the current scenario of the Artificial Intelligence In Construction Market size while taking into account the Market’s history in the past, and by assessing all important factors, the report provides a comprehensive forecast for the same.
The report was detailed and compiled while taking into account the current global COVID-19 pandemic situation, and it assists the client in better understanding the impact of this unexpected intervention and identifying new opportunities to maximize growth potential. This intelligence study investigates and inspects various aspects and Market dynamics in order to provide a complete and comprehensive account of the Artificial Intelligence In Construction Market revenue.
Description:
The Artificial Intelligence In Construction Market study defines and discusses numerous parameters such as growth potential, revenue growth, Market size, Market share, product/service range, sales, risks, threats, opportunities, investments, and so on. This document is an excellent resource for navigating the global Artificial Intelligence In Construction Market landscape and making well-informed business decisions that will ensure the client’s organization’s growth. The data evaluated in this Market report can be critical in decision-making and is a valuable resource in key decision-making for the overall Market scope.
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Scope of Artificial Intelligence In Construction Market Report:
In order to determine the most precise trends, Market size, scope, and shareholders landscape assessments, this research report offers key descriptive data on the Market that has been carefully selected by experts. The Artificial Intelligence In Construction Market is present in a broad range of geographic areas, according to the study report. The research contains a Artificial Intelligence In Construction Market forecast. The study can be used by stakeholders and newcomers to recognize their growth potentials, produce good business, and increase the organization’s ability for income production.
The Artificial Intelligence In Construction Market report explains in detail various business dynamics and aspects such as revenue, sales, growth, share, composition, stake, and so on. The report provides effective recommendations and guidelines needed to propel the business forward. This Artificial Intelligence In Construction Market research helps the client make informed business decisions and develop in the global Marketplace.
Browse TOC’s in Brief:
CHAPTER 1. INDUSTRY OVERVIEW
1.1. Definition and Scope
1.1.1. Definition of Artificial Intelligence In Construction
1.1.2. Market Segmentation
1.1.3. List of Abbreviations
1.2. Summary
1.2.1. Market Snapshot
1.2.2. Artificial Intelligence In Construction Market By Technology
1.2.2.1. Global Artificial Intelligence In Construction Market Revenue and Growth Rate Comparison By Technology (2015-2026)
1.2.2.2. Global Artificial Intelligence In Construction Market Revenue Share By Technology in 2018
1.2.2.3. Natural Language Processing
1.2.2.4. Machine Learning
1.2.2.5. Deep Learning
1.2.3. Artificial Intelligence In Construction Market By Application
1.2.3.1. Global Artificial Intelligence In Construction Market Revenue and Growth Rate Comparison By Application (2015-2026)
1.2.3.1.1. Project Management
1.2.3.1.2. Risk Management
1.2.3.1.3. Field Management
1.2.3.1.4. Supply Chain Management
1.2.3.1.5. Schedule Management
1.2.3.1.6. Others
1.2.4. Artificial Intelligence In Construction Market By Deployment
1.2.4.1. Global Artificial Intelligence In Construction Market Revenue and Growth Rate Comparison By Deployment (2015-2026)
1.2.4.2. On- Premises
1.2.4.3. Cloud
1.2.4.4. Others
1.2.5. Artificial Intelligence In Construction Market By Geography
1.2.5.1. Global Artificial Intelligence In Construction Market Revenue and Growth Rate Comparison By Geography (2015-2026)
1.2.5.2. North America Artificial Intelligence In Construction Market Revenue and Growth Rate(2015-2026)
1.2.5.3. Europe Artificial Intelligence In Construction Market Revenue and Growth Rate(2015-2026)
1.2.5.4. Asia-Pacific Artificial Intelligence In Construction Market Revenue and Growth Rate(2015-2026)
1.2.5.5. Latin America Artificial Intelligence In Construction Market Revenue and Growth Rate(2015-2026)
1.2.5.6. Middle East and Africa (MEA) Artificial Intelligence In Construction Market Revenue and Growth Rate(2015-2026)
CHAPTER 2. MARKET DYNAMICS AND COMPETITION ANALYSIS
2.1. Market Drivers
2.2. Restraints and Challenges
2.3. Growth Opportunities
2.4. Porter’s Five Forces Analysis
2.4.1. Bargaining Power of Suppliers
2.4.2. Bargaining Power of Buyers
2.4.3. Threat of Substitute
2.4.4. Threat of New Entrants
2.4.5. Degree of Competition
2.5. Value Chain Analysis
2.6. Cost Structure Analysis
2.6.1. Raw Material and Suppliers
2.6.2. Manufacturing Process Analysis
2.7. Regulatory Compliance
2.8. Competitive Landscape, 2018
2.8.1. Player Positioning Analysis
2.8.2. Key Strategies Adopted By Leading Players
CHAPTER 3. MANUFACTURING PLANTS ANALYSIS
3.1. Capacity and Commercial Production Date of Global Artificial Intelligence In Construction Major Manufacturers in 2018
3.2. Manufacturing Plants Distribution of Global Artificial Intelligence In Construction Major Manufacturers in 2018
3.3. R&D Status and Technology Source of Global Artificial Intelligence In Construction Major Manufacturers in 2018
3.4. Raw Materials Sources Analysis of Global Artificial Intelligence In Construction Major Manufacturers in 2018
CHAPTER 4. ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET BY TECHNOLOGY
4.1. Global Artificial Intelligence In Construction RevenueBy Technology
4.2. Natural Language Processing
4.2.1. Market Revenue and Growth Rate, 2015 – 2026 ($Million)
4.2.2. Market Revenue and Forecast, By Region, 2015 – 2026 ($Million)
4.3. Machine Learning
4.3.1. Market Revenue and Growth Rate, 2015 – 2026 ($Million)
4.3.2. Market Revenue and Forecast, By Region, 2015 – 2026 ($Million)
4.4. Deep Learning
4.4.1. Market Revenue and Growth Rate, 2015 – 2026 ($Million)
4.4.2. Market Revenue and Forecast, By Region, 2015 – 2026 ($Million)
CHAPTER 5. ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET BY APPLICATION
5.1. Global Artificial Intelligence In Construction RevenueBy Application
5.2. Project Management
5.2.1. Market Revenue and Growth Rate, 2015 – 2026 ($Million)
5.2.2. Market Revenue and Forecast, By Region, 2015 – 2026 ($Million)
5.3. Risk Management
5.3.1. Market Revenue and Growth Rate, 2015 – 2026 ($Million)
5.3.2. Market Revenue and Forecast, By Region, 2015 – 2026 ($Million)
5.4. Field Management
5.4.1. Market Revenue and Growth Rate, 2015 – 2026 ($Million)
5.4.2. Market Revenue and Forecast, By Region, 2015 – 2026 ($Million)
5.5. Supply Chain Management
5.5.1. Market Revenue and Growth Rate, 2015 – 2026 ($Million)
5.5.2. Market Revenue and Forecast, By Region, 2015 – 2026 ($Million)
5.6. Schedule Management
5.6.1. Market Revenue and Growth Rate, 2015 – 2026 ($Million)
5.6.2. Market Revenue and Forecast, By Region, 2015 – 2026 ($Million)
5.7. Others
5.7.1. Market Revenue and Growth Rate, 2015 – 2026 ($Million)
5.7.2. Market Revenue and Forecast, By Region, 2015 – 2026 ($Million)
CHAPTER 6. ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET BY DEPLOYMENT
6.1. Global Artificial Intelligence In Construction Revenue By Deployment
6.2. On- Premises
6.2.1. Market Revenue and Growth Rate, 2015 – 2026 ($Million)
6.2.2. Market Revenue and Forecast, By Region, 2015 – 2026 ($Million)
6.3. Cloud
6.3.1. Market Revenue and Growth Rate, 2015 – 2026 ($Million)
6.3.2. Market Revenue and Forecast, By Region, 2015 – 2026 ($Million)
6.4. Others
6.4.1. Market Revenue and Growth Rate, 2015 – 2026 ($Million)
6.4.2. Market Revenue and Forecast, By Region, 2015 – 2026 ($Million)
CHAPTER 7. NORTH AMERICA ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET BY COUNTRY
7.1. North America Artificial Intelligence In Construction Market Revenue and Growth Rate, 2015 – 2026 ($Million)
7.2. North America Artificial Intelligence In Construction Market Revenue Share Comparison, 2015 & 2026 (%)
7.3. U.S.
7.3.1. U.S.Artificial Intelligence In Construction Market Revenue and Forecast By Technology, 2015 – 2026 ($Million)
7.3.2. Market Revenue and Forecast By Application, 2015 – 2026 ($Million)
7.3.3. Market Revenue and Forecast By Deployment, 2015 – 2026 ($Million)
7.4. Canada
7.4.1. Market Revenue and Forecast By Technology, 2015 – 2026 ($Million)
7.4.2. Market Revenue and Forecast By Application, 2015 – 2026 ($Million)
7.4.3. Market Revenue and Forecast By Deployment, 2015 – 2026 ($Million)
CHAPTER 8. EUROPE ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET BY COUNTRY
8.1. Europe Artificial Intelligence In Construction Market Revenue and Growth Rate, 2015 – 2026 ($Million)
8.2. Europe Artificial Intelligence In Construction Market Revenue Share Comparison, 2015 & 2026 (%)
8.3. UK
8.3.1. Market Revenue and Forecast By Technology, 2015 – 2026 ($Million)
8.3.2. Market Revenue and Forecast By Application, 2015 – 2026 ($Million)
8.3.3. Market Revenue and Forecast By Deployment, 2015 – 2026 ($Million)
8.4. Germany
8.4.1. Market Revenue and Forecast By Technology, 2015 – 2026 ($Million)
8.4.2. Market Revenue and Forecast By Application, 2015 – 2026 ($Million)
8.4.3. Market Revenue and Forecast By Deployment, 2015 – 2026 ($Million)
8.5. France
8.5.1. Market Revenue and Forecast By Technology, 2015 – 2026 ($Million)
8.5.2. Market Revenue and Forecast By Application, 2015 – 2026 ($Million)
8.5.3. Market Revenue and Forecast By Deployment, 2015 – 2026 ($Million)
8.6. Spain
8.6.1. Market Revenue and Forecast By Technology, 2015 – 2026 ($Million)
8.6.2. Market Revenue and Forecast By Application, 2015 – 2026 ($Million)
8.6.3. Market Revenue and Forecast By Deployment, 2015 – 2026 ($Million)
8.7. Rest of Europe
8.7.1. Market Revenue and Forecast By Technology, 2015 – 2026 ($Million)
8.7.2. Market Revenue and Forecast By Application, 2015 – 2026 ($Million)
8.7.3. Market Revenue and Forecast By Deployment, 2015 – 2026 ($Million)
CHAPTER 9. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET BY COUNTRY
9.1. Asia-Pacific Artificial Intelligence In Construction Market Revenue and Growth Rate, 2015 – 2026 ($Million)
9.2. Asia-PacificArtificial Intelligence In Construction Market Revenue Share Comparison, 2015 & 2026 (%)
9.3. China
9.3.1. Market Revenue and Forecast By Technology, 2015 – 2026 ($Million)
9.3.2. Market Revenue and Forecast By Application, 2015 – 2026 ($Million)
9.3.3. Market Revenue and Forecast By Deployment, 2015 – 2026 ($Million)
9.4. Japan
9.4.1. Market Revenue and Forecast By Technology, 2015 – 2026 ($Million)
9.4.2. Market Revenue and Forecast By Application, 2015 – 2026 ($Million)
9.4.3. Market Revenue and Forecast By Deployment, 2015 – 2026 ($Million)
9.5. India
9.5.1. Market Revenue and Forecast By Technology, 2015 – 2026 ($Million)
9.5.2. Market Revenue and Forecast By Application, 2015 – 2026 ($Million)
9.5.3. Market Revenue and Forecast By Deployment, 2015 – 2026 ($Million)
9.6. Australia
9.6.1. Market Revenue and Forecast By Technology, 2015 – 2026 ($Million)
9.6.2. Market Revenue and Forecast By Application, 2015 – 2026 ($Million)
9.6.3. Market Revenue and Forecast By Deployment, 2015 – 2026 ($Million)
9.7. South Korea
9.7.1. Market Revenue and Forecast By Technology, 2015 – 2026 ($Million)
9.7.2. Market Revenue and Forecast By Application, 2015 – 2026 ($Million)
9.7.3. Market Revenue and Forecast By Deployment, 2015 – 2026 ($Million)
9.8. Rest of Asia-Pacific
9.8.1. Market Revenue and Forecast By Technology, 2015 – 2026 ($Million)
9.8.2. Market Revenue and Forecast By Application, 2015 – 2026 ($Million)
9.8.3. Market Revenue and Forecast By Deployment, 2015 – 2026 ($Million)
CHAPTER 10. LATIN AMERICA ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET BY COUNTRY
10.1. Latin America Artificial Intelligence In Construction Market Revenue and Growth Rate, 2015 – 2026 ($Million)
10.2. Latin America Artificial Intelligence In Construction Market Revenue Share Comparison, 2015 & 2026 (%)
10.3. Brazil
10.3.1. Market Revenue and Forecast By Technology, 2015 – 2026 ($Million)
10.3.2. Market Revenue and Forecast By Application, 2015 – 2026 ($Million)
10.3.3. Market Revenue and Forecast By Deployment, 2015 – 2026 ($Million)
10.4. Mexico
10.4.1. Market Revenue and Forecast By Technology, 2015 – 2026 ($Million)
10.4.2. Market Revenue and Forecast By Application, 2015 – 2026 ($Million)
10.4.3. Market Revenue and Forecast By Deployment, 2015 – 2026 ($Million)
10.5. Rest of Latin America
10.5.1. Market Revenue and Forecast By Technology, 2015 – 2026 ($Million)
10.5.2. Market Revenue and Forecast By Application, 2015 – 2026 ($Million)
10.5.3. Market Revenue and Forecast By Deployment, 2015 – 2026 ($Million)
CHAPTER 11. MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET BY COUNTRY
11.1. Middle East & Africa Artificial Intelligence In Construction Market Revenue and Growth Rate, 2015 – 2026 ($Million)
11.2. Middle East & Africa Artificial Intelligence In Construction Market Revenue Share Comparison, 2015 & 2026 (%)
11.3. GCC
11.3.1. Market Revenue and Forecast By Technology, 2015 – 2026 ($Million)
11.3.2. Market Revenue and Forecast By Application, 2015 – 2026 ($Million)
11.3.3. Market Revenue and Forecast By Deployment, 2015 – 2026 ($Million)
11.4. South Africa
11.4.1. Market Revenue and Forecast By Technology, 2015 – 2026 ($Million)
11.4.2. Market Revenue and Forecast By Application, 2015 – 2026 ($Million)
11.4.3. Market Revenue and Forecast By Deployment, 2015 – 2026 ($Million)
11.5. Rest of Middle East & Africa
11.5.1. Market Revenue and Forecast By Technology, 2015 – 2026 ($Million)
11.5.2. Market Revenue and Forecast By Application, 2015 – 2026 ($Million)
11.5.3. Market Revenue and Forecast By Deployment, 2015 – 2026 ($Million)
CHAPTER 12. COMPANY PROFILE
12.1. IBM
12.1.1. Company Snapshot
12.1.2. Overview
12.1.3. Financial Overview
12.1.4. Type Portfolio
12.1.5. Key Developments
12.1.6. Strategies
12.2. Microsoft
12.2.1. Company Snapshot
12.2.2. Overview
12.2.3. Financial Overview
12.2.4. Type Portfolio
12.2.5. Key Developments
12.2.6. Strategies
12.3. Oracle
12.3.1. Company Snapshot
12.3.2. Overview
12.3.3. Financial Overview
12.3.4. Type Portfolio
12.3.5. Key Developments
12.3.6. Strategies
12.4. SAP
12.4.1. Company Snapshot
12.4.2. Overview
12.4.3. Financial Overview
12.4.4. Type Portfolio
12.4.5. Key Developments
12.4.6. Strategies
12.5. Alice Technologies
12.5.1. Company Snapshot
12.5.2. Overview
12.5.3. Financial Overview
12.5.4. Type Portfolio
12.5.5. Key Developments
12.5.6. Strategies
12.6. eSUB
12.6.1. Company Snapshot
12.6.2. Overview
12.6.3. Financial Overview
12.6.4. Type Portfolio
12.6.5. Key Developments
12.6.6. Strategies
12.7. Smartvid.io
12.7.1. Company Snapshot
12.7.2. Overview
12.7.3. Financial Overview
12.7.4. Type Portfolio
12.7.5. Key Developments
12.7.6. Strategies
12.8. Aurora pc Services
12.8.1. Company Snapshot
12.8.2. Overview
12.8.3. Financial Overview
12.8.4. Type Portfolio
12.8.5. Key Developments
12.8.6. Strategies
12.9. Autodesk
12.9.1. Company Snapshot
12.9.2. Overview
12.9.3. Financial Overview
12.9.4. Type Portfolio
12.9.5. Key Developments
12.9.6. Strategies
12.10. Others
12.10.1. Company Snapshot
12.10.2. Overview
12.10.3. Financial Overview
12.10.4. Type Portfolio
12.10.5. Key Developments
12.10.6. Strategies
CHAPTER 13. RESEARCH APPROACH
13.1. Research Methodology
13.1.1. Initial Data Search
13.1.2. Secondary Research
13.1.3. Primary Research
13.2. Assumptions and Scope
Reasons to Buy:
- A guide for estimating the valuation of the Artificial Intelligence In Construction Market growth in the global context
- Assists in developing one-of-a-kind solutions to problems in the Market
- Advice on how to navigate the Market landscape in an efficient and effective manner
- Use of resources to manipulate and gain the most benefit from the Artificial Intelligence In Construction Market industry
- Assists in the implementation of strategies based on Artificial Intelligence In Construction Market trends and demands
Market Segmentation:
Market By Technology
- Natural Language Processing
- Machine Learning
- Deep Learning
Market By Application
- Project Management
- Risk Management
- Field Management
- Supply Chain Management
- Schedule Management
- Others
Market By Deployment
- On- Premises
- Cloud
- Others
Artificial Intelligence In Construction Market Competitive Analysis
The report was prepared by our Analysts at Acumen Research and Consulting, who are in constant contact with various industry professionals to provide you with the most up-to-date data on the given Market. This report was created using quantitative and qualitative analyses, resulting in a very comprehensive report that will best serve the client.
In order to determine the Market landscape, the Artificial Intelligence In Construction Market report focuses on the major global players, defining, describing, and analyzing the Market value, Market share, and Market competition landscape. This Market report is essential for clients in a wide range of fields, including Marketing, product development, business development, and many others.
Additional Highlights:
- The report graphs volume predictions for each segment as well as revenue share
- This study conveys top players’ pricing and revenue models, as well as their gross margins and Market share
- A thorough examination of all opportunities and risks in the Market in light of the current situation
- Other critical growth fundamentals have been discussed throughout the forecast period
Key Players List as Below:
The key companies involved in the market includes IBM (US), Microsoft (US), Oracle (US), SAP (Germany), Alice Technologies (US), eSUB (US), Smartvid.io (US), Aurora pc Services (England), Autodesk (US), and Building System coming up with (US).
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About Us:
Acumen Research and Consulting (ARC) is a global provider of market intelligence and consulting services to information technology, investment, telecommunication, manufacturing, and consumer technology markets. ARC helps investment communities, IT professionals, and business executives to make fact based decisions on technology purchases and develop firm growth strategies to sustain market competition. With the team size of 100+ Analysts and collective industry experience of more than 200 years, Acumen Research and Consulting assures to deliver a combination of industry knowledge along with global and country level expertise.
