The global artificial intelligence in construction market is expected to grow at a CAGR of around 29.4% from 2019 to 2026 and expected to reach the market value of around US$ 2.1 Bn by 2026.
Artificial intelligence will facilitate cut back construction prices in many ways, for instance, the utilization of computer game spectacles and mini-robots into buildings underneath construction to trace the work because it progresses, AI is additionally getting used these days to style the routing of electrical and plumbing systems in trendy buildings, computer science is additionally useful for the event of safety systems at work sites, that reduces the risks of hazards and accidents. The technology is getting used by several corporations to pursue the time period interactions of machinery, workers, and objects on the location and alert the supervisors of potential questions of safety, productivity problems, and construction errors computer science is additionally expected to cut back the human force, cut back costly errors, cut back worksite injuries, and build building operations additional productive.
Market Dynamics
Increasing digital knowledge is additionally propellant computing in construction market growth. Over the past 5 years, a fast surge within the growth of the digital knowledge has been witnessed because of the growing adoption of Building info Systems (BIM), security sensors, drones, and machine telematics. This is often encouraging construction firms to adopt advanced analytics solutions to require the total advantage of the massive quantity of digital knowledge and extract unjust insights. The adoption of drones, robots, and autonomous vehicles within the construction sector is additionally backing the expansion of the AI in the construction market. the businesses are adopting these technologies for mapping, aerial imaging, measurement construction sites, and to automatize the development operations. This is often developing myriad opportunities for the expansion of the AI technology within the construction sector. However, the unstructured construction setting and lack of arch force are the key factors that are preventing the market growth.
The adoption of drones, robots, and autonomous vehicles within the construction sector is additionally backing the expansion of the AI in construction market. The businesses are adopting these technologies for mapping, aerial imaging, measuring construction sites, and to automatize the development operations. This is often developing myriad opportunities for the expansion of the AI technology within the construction sector. However, the unstructured construction setting and lack of virtuoso personnel are the foremost factors that are impeding the market growth.
By technology, Machine Learning and Deep Learning segment are has dominated the Construction Market
Machine learning and deep learning has 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.
Based on deployment, the cloud deployment is expected to dominate during the forecast period
Cloud deployment is expected to dominate the construction market in 2018 in terms of value and it is expected to maintain its dominance over the period. This deployment type is simple and cost-effective for use in applications. Some of the key benefits of using a cloud deployment are flexibility, disaster recovery, automatic software updates, capital expenditure free, increased collaboration, work from anywhere, document control, security, competitiveness, environmentally friendly.
The market research study on “Global Artificial Intelligence In Construction Market– Global Industry Analysis, Market Size, Opportunities and Forecast, 2019 – 2026”, offers a detailed insight into the global artificial intelligence in construction market entailing insights on its different market segments. Market dynamics with drivers, restraints, and opportunities with their impact are provided in the report. The report provides insights into the global artificial intelligence in construction market, its market technology, application, deployment, and major geographic regions. The report covers basic development policies and layouts of technology development processes. Secondly, the report covers global artificial intelligence in construction market size and volume, and segment markets by market technology, application, deployment, and geography along with the information on companies operating in the market. The global artificial intelligence in construction market analysis is provided for major regional markets including North America, Europe, Asia Pacific, Latin America and Middle East and Africa. For each region, the market size and volume for different segments have been covered under the scope of the report.
In 2018, North America dominated the regional market with a maximum market share
North America accounted for the high market share of the global artificial intelligence in construction market and the region is also expected to maintain its dominance over the forecast period. Some major factors contributing to this growth 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 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).
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
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
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
