Artificial Intelligence In Construction Market Worth 2.1 Bn US Dollor by 2026

The global Artificial Intelligence In Construction Market size is anticipated to around USD 2.1 billion by 2026, this market is anticipated to grow with 29.4% CAGR during the forecast time period.

Free Download Sample Report Pages for Better understanding@ https://www.acumenresearchandconsulting.com/request-sample/1699

North America dominated the global artificial intelligence in construction market in the year 2018. Different huge purposes behind the predominance of North America are Construction businesses within the North American vicinity have made huge investments within the market, and numerous vendors have advanced to cater to the rapidly developing market. A considerable increase is anticipated within the region all through the forecast period. In North America, AI technology is successfully used for various applications, such as project management, subject management, chance management, agenda management, supply chain management, and others (device and construction substances management, useful resource management, subcontractor management, and value management).

The AI in construction market faces many challenges, as its miles considered one of the most fragmented industries and lacks skilled employees who can use AI in production solutions. The amendment within the political situation of US and big construction labor shortage in the region, despite a substantial increase in construction labor activities, are driving the necessity for automation within the construction sector. The country is one in all the foremost outstanding hubs for construction technical school startups. Therefore, the fast adoption of AI is anticipated within the construction sector to beat these hurdles, creating it the fastest-growing region for computer science within the construction market.

Asia-Pacific is expected to register the highest CAGR during the forecast period. The Middle-Eastern AI-based construction industry will exhibit a multiplied growth due to the accelerated government spending on infrastructure, commercial, residential, and energy projects. This extended government spending on infrastructure is attributed to the growing tourism enterprise across the region. The Asia Pacific artificial intelligence in construction market will grow significantly due to the massive adoption of AI-primarily based platforms with the aid of construction corporations in growing economies together with China, Japan, and Singapore. The high capital investment is one of the essential challenges that restrain the market.

View Detail Information with Complete TOC@ https://www.acumenresearchandconsulting.com/artificial-intelligence-in-construction-market

Machine learning and Deep learninghas dominated the technology segment in the year 2018 and the segment is projected to maintain its dominance over the forecast period from 2019 to 2026.Due to the growing want to analyze dark facts and automate enterprise functions, the use of gadget learning and deep learning technology has extended manifold in the creation industry. Many construction groups are deploying AI-primarily based solutions to achieve benefits.

Planning and design section is one of the most vital levels in any creation project. A lot of soft costs are related to research, architecture, and design, as making any changes within the construction segment would lead to budgetary constraints. As greater than 35% of creation experts spend time in activities, such as war resolution, handling layout flaws, and rework, paper-based communication is hard to update and distribute. Such eventualities are growing the call for for one-stop solutions, inclusive of BIM 360, that employ AI to take away flaws in design at the planning stage, with the help of generative layout capabilities.

Some of the key manufacturing companies include in the global artificial intelligence in construction market areIBM (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). These vendors have adopted organic and inorganic growth ways, like new product launches, partnerships and collaborations to expand their presence within the market.

Some of the key observations regarding global artificial intelligence in construction industry include:

In January 2018, NVIDIA, a prominent AI solutions developer in the global market, partnered with a Japanese construction equipment-manufacturer, Komatsu, to make use of drones and AI in the construction site. Reportedly, the partnership enables contractors to use NVIDIA's AI platform to analyze the data collected from drones to assess equipment costs and real-time worker interactions.

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

Market By Geography

North America

U.S.
Canada

Europe

U.K.
Germany
France
Spain
Rest of Europe

Asia-Pacific

China
Japan
India
Australia
South Korea
Rest of Asia-Pacific

Latin America

Brazil
Mexico
Rest of Latin America

Middle East & Africa

GCC
South Africa
Rest of Middle East & Africa

Key Questions Answered in the Report

The report addresses key questions concerning the market evolution and overarching trends shaping global market growth. Some of the key questions answered in the report include-

- What is the overall structure of the market?

- What was the historical value and what is the forecasted value of the market?

- What are the key product level trends in the market?

- What are the market level trends in the market?

- Which of the market players are leading and what are their key differential strategies to retain their stronghold?

- Which are the most lucrative regions in the market space?

Request for Customization@ https://www.acumenresearchandconsulting.com/request-customization/1699

TABLE OF CONTENT

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

The report is readily available and can be dispatched immediately after payment confirmation.

Buy this premium research report - https://www.acumenresearchandconsulting.com/buy-now/0/1699

If you would like to place an order or have any questions, please feel free to contact at sales@acumenresearchandconsulting.com | +1-407-915-4157 OR +1-408-900-9135

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. Among the industries served include aerospace and defense, information and communication technology (ICT), semiconductor and electronics, healthcare and pharmaceuticals, chemicals, advanced materials, banking, finance services and insurance (BFSI), and others.

Our collective industry experience of over 100 years has helped us to offer appropriate market information and our global reach and regional connects ensures appropriate insights into regional markets to guarantee apt delivery of information.

Our regional market intelligence helps our clients to identify potential opportunities and develop growth strategies across regions and countries. Our services are geared towards offering best market research to our clients.

Contact Us:

Mr. Frank Wilson
Acumen Research and Consulting
17890, Castleton St #218, Rowland Heights, CA 91748 United States
Tel: +1-407-915-4157 OR +1-408-900-9135
Email: sales@acumenresearchandconsulting.com Website: https://www.acumenresearchandconsulting.com