Global Artificial Intelligence in Construction Market - Industry Analysis Size Share Growth Trends and Forecast 2024 - 2031

Global Artificial Intelligence in Construction Market - Industry Analysis Size Share Growth Trends and Forecast 2024 - 2031

  • ID :
    SAC5889348
  • Published Date :
    Dec 2024
  • Number of Pages :
    300+

Year Considered

2019 to 2022: Historic Years

2023: Base Year

2024: Estimated Year

2025 to 2031: Projected Years

Product Description

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 2019, grew to xx Million USD in 2023, and will reach xx Million USD in 2031, with a CAGR of xx during 2024-2031. 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: Predii SmarTVid.Io Beyond Limits Alice Technologies Askporter Jaroop Microsoft DarKTrace Assignar Deepomatic Coins Global FuGenX Technologies SAP Autodesk IBM Oracle 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 Regions 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.

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