Pre-order Enquiry
Request Free Sample
Healthcare
Aerospace & Defence
Agriculture
Automations
Chemicals & Advanced Materials
Food & Beverages
Information & Communication Technology
Oil & Gas
Power & Energy
Artificial Intelligence allows contractors to build smarter, cheaper and more efficiently, disrupting an industry that is changing rapidly.Using Artificial intelligence, owners and contractors can use a supervised learning system to from collected environmental data, building data, material data etc. to identify the best way to create a building or even a community. A contractor may build a home in a new area or region. A construction AI system may recommend to a builder what materials, specific design languages, and costs are needed to create the home based on available data, within seconds.
The Artificial Intelligence in Construction market revenue was xx Million USD in 2016, grew to xx Million USD in 2021, and will reach xx Million USD in 2026, with a CAGR of xx during 2021-2026.
Considering the influence of COVID-19 on the global Artificial Intelligence in Construction market, this report analyzed the impact from both global and regional perspectives. From production end to consumption end in regions such as North America, Europe, China, and Japan, the report put emphasis on analysis of market under COVID-19 and corresponding response policy in different regions.
This report also analyzes the strategies for different companies to deal with the impact of COVID-19 in detail to seek a path to recovery.
Under COVID-19 Outbreak, how the Artificial Intelligence in Construction Industry will develop is also analyzed in detail in Chapter 1.8 of this report.
Major Players in Artificial Intelligence in Construction market are:
Jaroop
Deepomatic
Assignar
IBM
Askporter
Microsoft
DarKTrace
Beyond Limits
Alice Technologies
SAP
FuGenX Technologies
Autodesk
Oracle
Coins Global
SmarTVid.Io
Predii
Most important types of Artificial Intelligence in Construction products covered in this report are:
Machine Learning and Deep Learning
Natural Language Processing (NLP)
Most widely used downstream fields of Artificial Intelligence in Construction market covered in this report are:
Residential
Institutional Commercials
Heavy Construction
Others
North America
Europe
China
Japan
Middle East and Africa
South America
India
South Korea
Southeast Asia
Others
In Chapter 3.4, the report provides analysis of the reasons behind price fluctuations.
In chapters 5, 6, and 7, the impact of COVID-19 on the different regions in both production and consumption end and SWOT analysis are pointed out.
In Chapters 8, the report presents company's recent development and strategies to deal with the impact of COVID-19.
2020
The Artificial Intelligence in Construction market revenue was xx Million USD in 2016, grew to xx Million USD in 2021, and will reach xx Million USD in 2026, with a CAGR of xx during 2021-2026.
Considering the influence of COVID-19 on the global Artificial Intelligence in Construction market, this report analyzed the impact from both global and regional perspectives. From production end to consumption end in regions such as North America, Europe, China, and Japan, the report put emphasis on analysis of market under COVID-19 and corresponding response policy in different regions.
This report also analyzes the strategies for different companies to deal with the impact of COVID-19 in detail to seek a path to recovery.
Under COVID-19 Outbreak, how the Artificial Intelligence in Construction Industry will develop is also analyzed in detail in Chapter 1.8 of this report.
Major Players in Artificial Intelligence in Construction market are:
Jaroop
Deepomatic
Assignar
IBM
Askporter
Microsoft
DarKTrace
Beyond Limits
Alice Technologies
SAP
FuGenX Technologies
Autodesk
Oracle
Coins Global
SmarTVid.Io
Predii
Most important types of Artificial Intelligence in Construction products covered in this report are:
Machine Learning and Deep Learning
Natural Language Processing (NLP)
Most widely used downstream fields of Artificial Intelligence in Construction market covered in this report are:
Residential
Institutional Commercials
Heavy Construction
Others
Major Region
s or countries covered in this report:North America
Europe
China
Japan
Middle East and Africa
South America
India
South Korea
Southeast Asia
Others
In Chapter 3.4, the report provides analysis of the reasons behind price fluctuations.
In chapters 5, 6, and 7, the impact of COVID-19 on the different regions in both production and consumption end and SWOT analysis are pointed out.
In Chapters 8, the report presents company's recent development and strategies to deal with the impact of COVID-19.
Years considered for this report:
Historical Years:
2016-2020Base Year:
2020Estimated Year:
2021Forecast Period:
2021-2026Frequently Asked Questions
This market study covers the global and regional market with an in-depth analysis of the overall growth prospects in the market. Furthermore, it sheds light on the comprehensive competitive landscape of the global market. The report further offers a dashboard overview of leading companies encompassing their successful marketing strategies, market contribution, recent developments in both historic and present contexts.
- By product type
- By End User/Applications
- By Technology
- By Region
The report provides a detailed evaluation of the market by highlighting information on different aspects which include drivers, restraints, opportunities, and threats. This information can help stakeholders to make appropriate decisions before investing.
