The AI In Construction Market was valued at USD 466.9 million in 2020, and it is projected to be worth USD 2312.8 million by 2027, registering a CAGR of 33% during the period 2021 to 2027.
Artificial intelligence is the ability of machines to perform tasks and mimic human-like intelligence. Some primary uses of artificial intelligence are expert systems that aid in decision-making, speech recognition, natural language processing, and more. In recent years, artificial intelligence has had a huge impact on the field of construction. It is mainly used in the pre-build phase and can digitally plan and execute the model to be built with the help of artificial intelligence. It also helps with safety maintenance and monitoring along with maintenance systems on the construction site.
(Get 15% Discount on Buying this Report)
A full report of Global AI In Construction Market is available at: https://www.orionmarketreports.com/ai-in-construction-3-market/58466/
Market Segments
By Technology
- Machine learning and deep learning
- Natural Language Processing (NLP)
By Stage
- Pre-construction
- Construction stage
- Post-construction
By Application
- Project management
- Field management
- Risk management
- Schedule management
- Supply chain management
Key Players
The AI in construction market includes various AI vendors, such IBM (US), Microsoft (US), Oracle (US), SAP (Germany), Alice Technologies (US), eSUB (US), Smartvid.io(US), Aurora Computer Services(England), Autodesk (US), and Building System Planning (US).
Scope of the Report
The research study analyzes the global AI In Construction industry from 360-degree analysis of the market thoroughly delivering insights into the market for better business decisions, considering multiple aspects some of which are listed below as:
Recent Developments
o Market Overview and growth analysis
o Import and Export Overview
o Volume Analysis
o Current Market Trends and Future Outlook
o Market Opportunistic and Attractive Investment Segment
Geographic Coverage
o North America Market Size and/or Volume
o Latin America Market Size and/or Volume
o Europe Market Size and/or Volume
o Asia-Pacific Market Size and/or Volume
o Rest of the world Market Size and/or Volume
Key Questions Answered by AI In Construction Market Report
1. What was the AI In Construction Market size in 2019 and 2020; what are the estimated growth trends and market forecast (2021-2027).
2. What will be the CAGR of the AI In Construction Market during the forecast period (2021-2027)?
3. Which segments (product type/applications/end-user) were most attractive for investments in 2021? How these segments are expected to grow during the forecast period (2021-2027).
4. Which manufacturer/vendor/players in the AI In Construction Market was the market leader in 2020?
5. Overview on the existing product portfolio, products in the pipeline, and strategic initiatives taken by key vendors in the market.
The report covers the following objectives:
- Proliferation and maturation of trade in the global AI In Construction market.
- The market share of the global AI In Construction market, supply and demand ratio, growth revenue, supply chain analysis, and business overview.
- Current and future market trends that are influencing the growth opportunities and growth rate of the global AI In Construction market.
- Feasibility study, new market insights, company profiles, investment return, revenue (value), and consumption (volume) of the global AI In Construction market.
About Us:
Orion Market Reports (OMR) endeavors to provide an exclusive blend of qualitative and quantitative market research reports to clients across the globe. Our organization helps both multinational and domestic enterprises to bolster their business by providing in-depth market insights and the most reliable future market trends. Our reports address all the major aspects of the markets providing insights and market outlook to global clients.
Media Contact:
Company Name: Orion Market Reports
Contact Person: Mr. Anurag Tiwari
Email: info@orionmarketreports.com
Contact no: +91 780-304-0404
(This release has been published on OMR Industry Journal. OMR Industry Journal is not responsible for any content included in this release.)