Artificial Intelligence (AI) In Construction Market 2024-2031 Explosive Growth, Highly Accurate Outlook, and an Analysis of the Competitive Landscape Comprise the next big thing Building System Planning, Inc., SAP SE, Autodesk, Inc.

DataM Intelligence has released a new research report on the Artificial Intelligence (Ai) In Construction market. The report provides a detailed analysis of current and emerging trends, offering insights into the market dynamics. It utilizes Porter's Five Forces model to assess key factors such as supplier and customer relationships, risks from various agents, competitive intensity, and opportunities for new entrants. The study also includes research data from various companies, analyzing factors like benefits, gross margins, and strategic decisions in the global market. The report is enriched with tables, charts, and infographics for a clear presentation of the findings.

The Artificial Intelligence (Ai) In Construction Market is anticipated to reach USD 7.8 billion by 2031 from USD 0.6 billion in 2022, at a CAGR of 33.7% during the forecast period (2024-2031).

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Artificial Intelligence (AI) in Construction refers to the use of AI technologies, such as machine learning, robotics, and data analytics, to improve efficiency, safety, and decision-making in the construction industry. AI helps automate tasks, optimize resource allocation, and enhance project planning by analyzing large datasets.

List of the Key Players in the Artificial Intelligence (Ai) In Construction Market:

Building System Planning, Inc., SAP SE, Autodesk, Inc., NVIDIA Corporation, International Business Machines Corp, Microsoft Corporation, Inc. oracle Corporation, Dassault Systems SE, Aurora Computer Services Limited and PTC Inc.

Key Developments:

In April 2023, Autodesk, Inc. and Vietnam National Construction Consultants (VC Group) signed a Memorandum of Understanding to form a strategic partnership. Autodesk will support VC Group in adopting digital design and construction consultancy technologies, in line with the Vietnamese government's initiative to promote the use of Building Information Modeling (BIM) in the construction industry.
Research Process:

Both primary and secondary data sources have been used in the global Artificial Intelligence (Ai) In Construction Market research report. During the research process, a wide range of industry-affecting factors are examined, including governmental regulations, market conditions, competitive levels, historical data, market situation, technological advancements, upcoming developments, in related businesses, as well as market volatility, prospects, potential barriers, and challenges.

Segment Covered in the Artificial Intelligence (Ai) In Construction Market:

By Offerings: Solutions, Services

By Deployment Type: Cloud, On-Premise

By Organization Size: Small and Medium-sized Enterprises, Large Enterprises

By End-User: Residential, Institutional, Commercials, Others

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Regional Analysis:

➣ North America (US, Canada, Mexico)

➣ Europe (Germany, Russia, UK, France, Italy, Spain, Rest of Europe)

➣ Asia-Pacific (China, India, Japan, Australia, Rest of Asia Pacific)

➣ South America (Brazil, Argentina, Rest of South America)

➣ Middle East and Africa

**The full version of the report includes an in-depth analysis of emerging players and startups, which will provide valuable insights into the evolving market landscape and key strategies being adopted**

Chapter Outline:

⏩ Market Overview: It contains five chapters, as well as information about the research scope, major manufacturers covered, market segments, Artificial Intelligence (Ai) In Construction market segments, study objectives, and years considered.

⏩ Market Landscape: The competition in the Global Artificial Intelligence (Ai) In Construction Market is evaluated here in terms of value, turnover, revenues, and market share by organization, as well as market rate, competitive landscape, and recent developments, transaction, growth, sale, and market shares of top companies.

⏩ Companies Profiles: The global Artificial Intelligence (Ai) In Construction market's leading players are studied based on sales, main products, gross profit margin, revenue, price, and growth production.

⏩ Market Outlook by Region: The report goes through gross margin, sales, income, supply, market share, CAGR, and market size by region in this segment. North America, Europe, Asia Pacific, Middle East & Africa, and South America are among the regions and countries studied in depth in this study.

⏩ Market Segments: It contains the deep research study which interprets how different end-user/application/type segments contribute to the Artificial Intelligence (Ai) In Construction Market.

⏩ Market Forecast: Production Side: In this part of the report, the authors have focused on production and production value forecast, key producers forecast, and production and production value forecast by type.

⏩ Research Findings: This section of the report showcases the findings and analysis of the report.

⏩ Conclusion: This portion of the report is the last section of the report where the conclusion of the research study is provided.

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The Research Report Offers Answers To The Following Questions:

☛ What is the expected growth rate of the global market for the forecast period?

☛ What are the key driving factors that are responsible to shape the fate of the Artificial Intelligence (Ai) In Construction market during the forecast period?

☛ What will be the overall size of the market during the analysis period?

☛ What are the prominent market trends which influence the development of the Artificial Intelligence (Ai) In Construction market across various regions?

☛ Who are the key market players and the market strategies that have helped them to secure the leading position in the global market?

☛ What are the challenges and threats that are likely to act as a barrier to the growth of the Artificial Intelligence (Ai) In Construction market?

☛ What are the major opportunities that the companies can get to attain success in the world?

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