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AI in Construction Market is Set to Fly High in Years to Come

11-06-2024 01:07 PM CET | Advertising, Media Consulting, Marketing Research

Press release from: AMA Research & Media LLP

AI in Construction Market

AI in Construction Market

A Latest intelligence report published by AMA Research with title "Global AI in Construction Market Outlook to 2028. A detailed study accumulated to offer Latest insights about acute features of the AI in Construction market. This report provides a detailed overview of key factors in the Global AI in Construction Market and factors such as driver, restraint, past and current trends, regulatory scenarios and technology development.

Definition:
AI in construction refers to the use of artificial intelligence technologies to enhance and optimize various aspects of the construction industry. AI applications in this field include predictive analytics for project planning, automated design generation, safety monitoring, and resource management. For instance, machine learning algorithms can analyze historical project data to predict potential delays, cost overruns, and risk factors, enabling better planning and decision-making. Additionally, AI-powered image recognition systems can detect safety hazards on-site in real time, helping to reduce accidents. Robotics and autonomous machinery, guided by AI, are also used for repetitive or dangerous tasks, improving efficiency and worker safety.

Major Players in This Report Include:
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)

Free Sample Report + All Related Graphs & Charts @ : https://www.advancemarketanalytics.com/sample-report/129714-global-ai-in-construction-market?utm_source=OpenPR&utm_medium=Suraj

Global AI in Construction the manufacturing cost structure analysis of the market is based on the core chain structure, engineering process, raw materials and suppliers. The manufacturing plant has been developed for market needs and new technology development. In addition, Global AI in Construction Market attractiveness according to country, end-user, and other measures is also provided, permitting the reader to gauge the most useful or commercial areas for investments. The study also provides special chapter designed (qualitative) to highlights issues faced by industry players in their production cycle and supply chain.

The Global AI in Construction Market segments and Market Data Break Down 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))

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

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

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

Challenges:
Monitoring the Highly Unstructured Jobsite Environments

Enquire for customization in Report @: https://www.advancemarketanalytics.com/enquiry-before-buy/129714-global-ai-in-construction-market?utm_source=OpenPR&utm_medium=Suraj

Geographically World Global AI in Construction markets can be classified as North America, Europe, Asia Pacific (APAC), Middle East and Africa and Latin America. North America has gained a leading position in the global market and is expected to remain in place for years to come. The growing demand for Global AI in Construction markets will drive growth in the North American market over the next few years.

In the last section of the report, the companies responsible for increasing the sales in the Global AI in Construction Market have been presented. These companies have been analyzed in terms of their manufacturing base, basic information, and competitors. In addition, the application and product type introduced by each of these companies also form a key part of this section of the report. The recent enhancements that took place in the global market and their influence on the future growth of the market have also been presented through this study.

Report Highlights:
• Comprehensive overview of parent market & substitute market
• In-depth market segmentation (Trends, Growth with Historical & Forecast Analysis)
• Recent industry trends and development activity
• Competitive landscape (Heat Map Analysis for Emerging Players & Market Share Analysis for Major Players along with detailed Profiles)

Strategic Points Covered in Table of Content of Global AI in Construction Market:
Chapter 1: Introduction, market driving force product Objective of Study and Research Scope the AI in Construction market
Chapter 2: Exclusive Summary - the basic information of the AI in Construction Market.
Chapter 3: Changing Impact on Market Dynamics- Drivers, Trends and Challenges & Opportunities of the AI in Construction;
Chapter 4: Presenting the AI in Construction Market Factor Analysis, Porters Five Forces, Supply/Value Chain, PESTEL analysis, Market Entropy, Patent/Trademark Analysis.
Chapter 5: Displaying the by Type, End User and Region/Country 2017-2022
Chapter 6: Evaluating the leading manufacturers of the AI in Construction market which consists of its Competitive Landscape, Peer Group Analysis, BCG Matrix & Company Profile
Chapter 7: To evaluate the market by segments, by countries and by Manufacturers/Company with revenue share and sales by key countries in these various regions (2023-2028)
…………….

Buy this research @ https://www.advancemarketanalytics.com/buy-now?format=1&report=129714?utm_source=OpenPR&utm_medium=Suraj

Key questions answered
• Who are the Leading key players and what are their Key Business plans in the Global AI in Construction market?
• What are the key concerns of the five forces analysis of the Global AI in Construction market?
• What are different prospects and threats faced by the dealers in the Global AI in Construction market?
• What possible measures players are taking to overcome and stabilize the situation?

Thanks for reading this article; you can also get individual chapter wise section or region wise report version like North America, Middle East, Africa, Europe or LATAM, Asia.

Contact US:
Craig Francis (PR & Marketing Manager)
AMA Research & Media LLP
Unit No. 429, Parsonage Road Edison, NJ
New Jersey USA - 08837
Phone: (+1 2017933837, +44 20 7097 9277)
sales@advancemarketanalytics.com

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.
Our Analyst is tracking high growth study with detailed statistical and in-depth analysis of market trends & dynamics that provide a complete overview of the industry. We follow an extensive research methodology coupled with critical insights related industry factors and market forces to generate the best value for our clients. We Provides reliable primary and secondary data sources, our analysts and consultants derive informative and usable data suited for our clients business needs. The research study enables clients to meet varied market objectives a from global footprint expansion to supply chain optimization and from competitor profiling to M&As.

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