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AI in Construction Market Worth $2,107.8 Mn by 2023 - Exclusive Report by AllTheResearch

12-18-2020 07:41 AM CET | IT, New Media & Software

Press release from: AllTheResearch

Global Artificial Intelligence (AI) in Construction Market was valued at US$ ~449.7 million in the year 2018 and is expected to reach US$ ~2,107.8 million by the year 2023, growing at a CAGR of ~36.2%. With the increasing need for safety & security in the construction sector and the need for reduced production costs is driving the global AI in construction market. However, the slow adoption rate of AI-related technology in the construction sector and the complexity of the algorithms are expected to impede the growth of AI in Construction Market.

The growing importance of technology-based solutions has stimulated the construction sector to gather and share data in real-time. Managing a huge chunk of data can create huge overhead costs, which can affect the profitability of an organization. Sometimes, the gathered data are irrelevant to the business process & profitability goals. AI plays a major role in limiting the amount of irrelevant data in these industry verticals.

Request for a sample report (including ToC, Tables, and Figures with detailed information) @ https://www.alltheresearch.com/sample-request/93

Major Key Contents Covered in AI in Construction Market:
*Introduction of AI in Construction with development and status.
*Manufacturing Technology of AI in Construction with analysis and trends.
*Analysis of Global AI in Construction market Key Manufacturers with Company Profile, Product Information, Production Information and Contact Information.
*Analysis of Global and Chinese AI in Construction market Capacity, Production, Production Value, Cost and Profit
*Analysis AI in Construction Market with Comparison, Supply, Consumption and Import and Export.
*AI in Construction market Analysis with Market Status and Market Competition by Companies and Countries.
*2020-2026 Market Forecast of Global AI in Construction Market with Cost, Profit, Market Shares, Supply, Demands, Import and Export.
*Trending factors influencing the market shares of APAC, Europe, North America, and ROW?
*AI in Construction Market Analysis of Industry Chain Structure, Upstream Raw Materials, Downstream Industry.
*COVID-19 impact & Post opportunities in the overall industry.

The major players profiled in this report include:
*IBM (US)
*Alice Technologies (US)
*Aurora Computer Services (UK)
*Autodesk (US)
*Building System Planning (US)
*eSUB (US)
*Microsoft (US)
*Oracle (US)
*SAP (Germany)
*Smartvid.io(US)

Is there any query or need customization? Ask Here @ https://www.alltheresearch.com/customization/93

Market Segments and Sub-segments Covered in the Report are as per below:

Based on Product Type AI in Construction market is segmented into:
*By Technology (Neural Networks, Machine Learning & Deep Learning, Natural Language Processing (NLP))
*By Stage (Pre-Construction, Construction, Post-Construction)
*By Component (Solutions, Services)
*By Deployment (Cloud, On-premises)

Based on Application AI in Construction market is segmented into:
*By Application (Project Management, Risk Management, Supply Chain Management, Schedule Management, Field Management)
*By End-User (Residential, Commercial Institutions, Heavy Construction, Others)

Regional Coverage of the AI in Construction Market:
North America (US and Canada)
Europe (UK, Germany, France, and Rest of Europe)
Asia Pacific (China, Japan, India, and Rest of Asia Pacific)
Latin America (Brazil, Mexico, and Rest of Latin America)
Middle East & Africa (GCC and Rest of Middle East & Africa)

Speak with an analyst to get more clarification about country-level segmentation or any specific requirement @ https://www.alltheresearch.com/speak-to-analyst/93

Key Questions Answered in this Report:

*What is the market size of the AI in Construction industry?
This report covers the historical market size of the industry (2013-2019), and forecasts for 2020 and the next 5 years. Market size includes the total revenues of companies.

*What is the outlook for the AI in Construction industry?
This report has over a dozen market forecasts (2020 and the next 5 years) on the industry, including total sales, number of companies, attractive investment opportunities, operating expense, and others.

*What industry analysis/data exists for the AI in Construction industry?
This report covers key segments and sub-segments, key drivers, restraints, opportunities and challenges in the market and how they are expected to impact the AI in Construction industry. Take a look at the table of contents below to see the scope of analysis and data on the industry.

*How many companies are in the AI in Construction industry?
This report analyzes the historical and forecasted number of companies, locations in the industry, and breaks them down by company size over time. Report also provides company rank against its competitors with respect to revenue, profit comparison, operational efficiency, cost competitiveness and market capitalization.

*What are the financial metrics for the industry?
This report covers many financial metrics for the industry including profitability, Market value- chain and key trends impacting every node with reference to company’s growth, revenue, return on sales, etc.

*What are the most important benchmarks for the AI in Construction industry?
Some of the most important benchmarks for the industry include sales growth, productivity (revenue), operating expense breakdown, span of control, organizational make-up. All of which you’ll find in this market report.

Buy AI in Construction Market Full Report @ https://www.alltheresearch.com/buy-now/93

For All Your Research Needs, Reach Out to Us:

Contact Name: Rohan S.

Email: contactus@alltheresearch.com

Phone: +1 (407) 768-2028

About AllTheResearch:

AllTheResearch was formed with the aim of making market research a significant tool for managing breakthroughs in the industry. As a leading market research provider, the firm empowers its global clients with business-critical research solutions. The outcome of our study of numerous companies that rely on market research and consulting data for their decision-making made us realise, that its not just sheer data-points, but the right analysis that creates a difference. While some clients were unhappy with the inconsistencies and inaccuracies of data, others expressed concerns over the experience in dealing with the research-firm. Also, same-data-for-all-business roles was making research redundant. We identified these gaps and built AllTheResearch to raise the standards of research support.

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