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.
Artificial Intelligence (AI) in Construction - 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.
Artificial Intelligence (AI) in Construction - 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.
Artificial Intelligence (AI) in Construction - Market Classification:
Artificial Intelligence (AI) In Construction Market, By Technology, Estimates and Forecast, 2018-2025 ($Million)
Natural Language Processing
Machine Learning and Deep Learning
Artificial Intelligence (AI) In Construction Market, By Stage, Estimates and Forecast, 2018-2025 ($Million)
Artificial Intelligence (AI) In Construction Market, By Component, Estimates and Forecast, 2018-2025 ($Million)
Artificial Intelligence (AI) In Construction Market, By Application, Estimates and Forecast, 2018-2025 ($Million)
Supply ChAIn Management
Artificial Intelligence (AI) In Construction Market, By Deployment Type, Estimates and Forecast, 2018-2025 ($Million)
Artificial Intelligence (AI) in Construction - 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.
Artificial Intelligence (AI) in Construction - By Region:
North America - U.S, Canada, Mexico
Europe - Germany, France, UK, Italy, Spain, Rest of Europe
Asia-Pacific - Japan, China, Australia, India, South Korea, Rest of Asia Pacific
Rest of the World - Brazil, South Africa, Saudi Arabia, United Arab Emirates, Others
Artificial Intelligence (AI) in Construction - 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.
Artificial Intelligence (AI) in Construction - Table of Contents:
11.2. eSUB Construction Software
11.3. AURORA COMPUTER SERVICES LIMITED
11.5. Building SP
11.6. SAP SE
11.7. Alice Technologies
11.8. Microsoft Corporation
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)
FEATURES OF THE REPORT:
The analysis of Artificial Intelligence (AI) in Construction market, their Growth, Demand, position, size and share from different regions are mentioned in detailed.
The key players in the market and their share in the global market are discussed.
The new strategic plan and suggestions that will help old as well as new market players to maintain the competitiveness are also discussed.
The Artificial Intelligence (AI) in Construction market report provides some important points related to growth factors, challenges, opportunities, end-user analysis and achievement and so on.
The latest trends that are being followed in the market are included along with an example.
How technological advancement and research, as well as development activities, are impacting the market is explained in detail.
The development plans and policies are discussed as well as manufacturing processes and cost structures too are discussed.
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