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Global Artificial Intelligence (AI) in Construction Market 2019-2023
SKU ID : TNV-13753913 | Publishing Date : 28-Dec-2018 | No. of pages : 128
About this market
Increasing adoption of cloud-based solutions to emerge as major trend in the market. The emergence of AI-as-a-service in construction is trending among various industrial users of AI, as it allows individuals and companies to access AI for various applications with heavy initial investment and lowers the risk of failure. The analysts have predicted that the artificial intelligence (AI) in construction market will register a CAGR of over 28% by 2023.
Market Overview
Increasing demand for data integration and visual analytics
The increasing data proliferation and complexities have made the process of deploying and maintaining reliable data interfaces difficult. AI in construction allows real time synthesizing of data to facilitate real time analysis or effective decision making.
Existing issues of AI
AI hardware that is currently available on the market is limited in its capabilities, as it does not have the ability to stimulate a human brain, and the software cannot match the intelligence of humans.
For the detailed list of factors that will drive and challenge the growth of the artificial intelligence (AI) in construction market during the 2019-2023, view our report.
Competitive Landscape
The market appears to be fragmented and with the presence of several companies including Oracle and SAP the competitive environment is quite intense. Factors such as the increasing adoption of cloud-based solutions and the increasing demand for data integration and visual analytics, will provide considerable growth opportunities to artificial intelligence (AI) in construction manufactures. Autodesk, IBM, Microsoft, Oracle, and SAP are some of the major companies covered in this report.
Increasing adoption of cloud-based solutions to emerge as major trend in the market. The emergence of AI-as-a-service in construction is trending among various industrial users of AI, as it allows individuals and companies to access AI for various applications with heavy initial investment and lowers the risk of failure. The analysts have predicted that the artificial intelligence (AI) in construction market will register a CAGR of over 28% by 2023.
Market Overview
Increasing demand for data integration and visual analytics
The increasing data proliferation and complexities have made the process of deploying and maintaining reliable data interfaces difficult. AI in construction allows real time synthesizing of data to facilitate real time analysis or effective decision making.
Existing issues of AI
AI hardware that is currently available on the market is limited in its capabilities, as it does not have the ability to stimulate a human brain, and the software cannot match the intelligence of humans.
For the detailed list of factors that will drive and challenge the growth of the artificial intelligence (AI) in construction market during the 2019-2023, view our report.
Competitive Landscape
The market appears to be fragmented and with the presence of several companies including Oracle and SAP the competitive environment is quite intense. Factors such as the increasing adoption of cloud-based solutions and the increasing demand for data integration and visual analytics, will provide considerable growth opportunities to artificial intelligence (AI) in construction manufactures. Autodesk, IBM, Microsoft, Oracle, and SAP are some of the major companies covered in this report.
Frequently 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
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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.
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