Should You Be Excited About AI in Construction Market 34.1% CAGR?

Latest Study on Industrial Growth of Global AI in Construction Market 2021-2027. A detailed study accumulated to offer Latest insights about acute features of the AI in Construction market. The report contains different market predictions related to revenue size, production, CAGR, Consumption, gross margin, price, and other substantial factors. While emphasizing the key driving and restraining forces for this market, the report also offers a complete study of the future trends and developments of the market. It also examines the role of the leading market players involved in the industry including their corporate overview, financial summary and SWOT analysis.

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The AI in Construction Market Study by AMA Research gives an essential tool and source to Industry stakeholders to figure out the market and other fundamental technicalities, covering growth, opportunities, competitive scenarios, and key trends in the AI in Construction market.

The artificial intelligence has been very beneficial to the construction industry, especially in pre-construction phases, like planning and designing, enabling advanced capabilities for building information modeling and generative design. Planning and design phase is one of the most crucial phases in any construction project. A lot of soft costs are associated with research, architecture, and design, as making any changes in the construction phase would lead to budgetary constraints.

The AI in Construction market study is being classified, by Application (Project management, Field management, Risk management, Schedule management, Supply chain management and Others) and major geographies with country level break-up. According to AMA, the Global AI in Construction market is expected to see growth rate of 34.1%

Major & Emerging Players in AI in Construction Market:-
IBM (United States), Microsoft (United States), Oracle (United States), SAP (Germany), Alice Technologies (United States), eSUB (United States), Smartvid.io (United States), Aurora Computer Services(England), Autodesk (United States), Building System Planning (United States)

The titled segments and sub-section of the market are illuminated below:
by Application (Project management, Field management, Risk management, Schedule management, Supply chain management, Others), Organization Size (Residential, Institutional commercials, Heavy construction, Others), Deployment Type (Cloud, On-premises), Technology (Machine learning and deep learning, Natural Language Processing (NLP)), Industry Type (Small and Medium-sized Enterprises (SMEs), Large enterprises), Stage (Pre-construction, Construction stage, Post-construction), Component (Solutions (Design and planning, Revenue estimation, Virtual assistant, Demand forecasting, Predictive maintenance, Others (root cause analysis and customer/buyer analysis)), Services (Integration and deployment, training and consulting, Support and maintenance))

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Market Trends:
Rising Requirement to Reduce Production Costs
The Growing Need for More Safety Measures at Construction Sites

Market Drivers:
Rising Demand for AI-based Platforms and Solutions and Adoption of Industry 4.0 and IIoT
Construction Labor Shortage

Challenges:
Monitoring the Highly Unstructured Jobsite Environments

Opportunities:
Growing Need for Intelligent Business Process
Increasing Construction Activities Due to Smart City Initiatives

On 13th September 2018, Fluor Corporation and IBM (NYSE: IBM) announced today the use of artificial intelligence-based systems to predict, monitor and measure the status of engineering, procurement, fabrication and construction (EPC) megaprojects from inception to completion

Some Point of Table of Content:
Chapter One: Report Overview
Chapter Two: Global Market Growth Trends
Chapter Three: Value Chain of AI in Construction Market
Chapter Four: Players Profiles
Chapter Five: Global AI in Construction Market Analysis by Regions
Chapter Six: North America AI in Construction Market Analysis by Countries
Chapter Seven: Europe AI in Construction Market Analysis by Countries
Chapter Eight: Asia-Pacific AI in Construction Market Analysis by Countries
Chapter Nine: Middle East and Africa AI in Construction Market Analysis by Countries
Chapter Ten: South America AI in Construction Market Analysis by Countries
Chapter Eleven: Global AI in Construction Market Segment by Types
Chapter Twelve: Global AI in Construction Market Segment by Applications

What are the market factors that are explained in the AI in Construction Market report?
- Key Strategic Developments: Strategic developments of the market, comprising R&D, new product launch, M&A, agreements, collaborations, partnerships, joint ventures, and regional growth of the leading competitors.
- Key Market Features: Including revenue, price, capacity, capacity utilization rate, gross, production, production rate, consumption, import/export, supply/demand, cost, market share, CAGR, and gross margin.
- Analytical Tools: The analytical tools such as Porter's five forces analysis, SWOT analysis, feasibility study, and investment return analysis have been used to analyze the growth of the key players operating in the market.

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Definitively, this report will give you an unmistakable perspective on every single reality of the market without a need to allude to some other research report or an information source. Our report will give all of you the realities about the past, present, and eventual fate of the concerned Market.

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Craig Francis (PR & Marketing Manager)
AMA Research & Media LLP
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About Author:
Advance Market Analytics is Global leaders of Market Research Industry provides the quantified B2B research to Fortune 500 companies on high growth emerging opportunities which will impact more than 80% of worldwide companies' revenues.
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