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AI in Construction Market SWOT Analysis by Leading Key Players: Oracle, IBM, SAP

AI in Construction Market: A Comprehensive Study Explores Massive Growth in Future

 

Pune, Maharashtra -- (SBWIRE) -- 09/27/2023 -- The latest study released on the Global AI in Construction Market by HTF MI Research evaluates market size, trend, and forecast to 2029. The AI in Construction market study covers significant research data and proofs to be a handy resource document for managers, analysts, industry experts and other key people to have ready-to-access and self-analysed study to help understand market trends, growth drivers, opportunities and upcoming challenges and about the competitors.

Key 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)

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"According to HTF Market Intelligence, the Global AI in Construction market is expected to see a growth rate of 34.1% and may see market size of USD 8.6 Billion by 2029, currently pegged at USD 5.6 Billion."

Definition:
AI is being used to analyze design data and provide insights into how buildings can be constructed more efficiently. It can also help architects and engineers to generate designs that are optimized for specific purposes, such as energy efficiency or structural stability.

Major Highlights of the AI in Construction Market report released by HTF MI

Global AI in Construction Market Breakdown by Application (Project management, Field management, Risk management, Schedule management, Supply chain management, Others) by Type (Heavy Construction, Institutional Commercials, Residential, Others) and by Geography (North America, South America, Europe, Asia Pacific, MEA)

Global AI in Construction market report highlights information regarding the current and future industry trends, growth patterns, as well as it offers business strategies to help the stakeholders in making sound decisions that may help to ensure the profit trajectory over the forecast years.

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Geographically, the detailed analysis of consumption, revenue, market share, and growth rate of the following regions:
- The Middle East and Africa (South Africa, Saudi Arabia, UAE, Israel, Egypt, etc.)
- North America (United States, Mexico & Canada)
- South America (Brazil, Venezuela, Argentina, Ecuador, Peru, Colombia, etc.)
- Europe (Turkey, Spain, Turkey, Netherlands Denmark, Belgium, Switzerland, Germany, Russia UK, Italy, France, etc.)
- Asia-Pacific (Taiwan, Hong Kong, Singapore, Vietnam, China, Malaysia, Japan, Philippines, Korea, Thailand, India, Indonesia, and Australia).
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Objectives of the Report
- -To carefully analyse and forecast the size of the AI in Construction market by value and volume.
- -To estimate the market shares of major segments of the AI in Construction
- -To showcase the development of the AI in Construction market in different parts of the world.
- -To analyse and study micro-markets in terms of their contributions to the AI in Construction market, their prospects, and individual growth trends.
- -To offer precise and useful details about factors affecting the growth of the AI in Construction
- -To provide a meticulous assessment of crucial business strategies used by leading companies operating in the AI in Construction market, which include research and development, collaborations, agreements, partnerships, acquisitions, mergers, new developments, and product launches.

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Points Covered in Table of Content of Global AI in Construction Market:
Chapter 01 – AI in Construction Executive Summary
Chapter 02 – Market Overview
Chapter 03 – Key Success Factors
Chapter 04 – Global AI in Construction Market – Pricing Analysis
Chapter 05 – Global AI in Construction Market Background
Chapter 06 — Global AI in Construction Market Segmentation
Chapter 07 – Key and Emerging Countries Analysis in Global AI in Construction Market
Chapter 08 – Global AI in Construction Market Structure Analysis
Chapter 09 – Global AI in Construction Market Competitive Analysis
Chapter 10 – Assumptions and Acronyms
Chapter 11 – AI in Construction Market Research Methodology

Browse Complete Summary and Table of Content @ https://www.htfmarketintelligence.com/report/global-ai-in-construction-market

Key questions answered
- How feasible is AI in Construction market for long-term investment?
- What are influencing factors driving the demand for AI in Construction near future?
- What is the impact analysis of various factors in the Global AI in Construction market growth?
- What are the recent trends in the regional market and how successful they are?

Thanks for reading this article; you can also get individual chapter-wise sections or region-wise report versions like North America, MINT, BRICS, G7, Western / Eastern Europe, or Southeast Asia. Also, we can serve you with customized research services as HTF MI holds a database repository that includes public organizations and Millions of Privately held companies with expertise across various Industry domains.

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