Artificial Intelligence (AI) In Construction Market Size, Status, Growth | Industry Analysis Report 2022-2028

COVID-19 Impact Analysis on report published by Value Market Research provides a detailed market analysis comprising market size, share, value, growth and trends for the period 2022-2028. The report encompasses data regarding market share and recent developments by key players. Moreover, this market report also covers regional and country markets in detail.
The research report also covers the comprehensive profiles of the key players in the market and an in-depth view of the competitive landscape worldwide. The major players in the Artificial Intelligence (AI) In Construction market include Building System Planning, Microsoft, IBM Corporation, Oracle, SAP, Alice Technologies, eSUB,, Aurora Computer Services, Bentley Systems Inc., and Autodesk. This section consists of a holistic view of the competitive landscape that includes various strategic developments such as key mergers & acquisitions, future capacities, partnerships, financial overviews, collaborations, new product developments, new product launches, and other developments.
Market Dynamics
The need for safety precautions at building sites and increased demand for data integration and visual analytics are some factors propelling Artificial Intelligence (AI) In Construction market forward. The construction sector has benefited greatly from artificial intelligence in recent years, particularly during the planning and designing stages that provide increased capabilities for building information modelling and generative design. Additionally, significant advancements in safety, monitoring, and maintenance technologies that employ AI to forecast and forewarn about unfavourable circumstances rapidly expand the usage of AI-based technology in the construction sector. On the downside, a shortage of competent people could be a major obstacle for the market. Nonetheless, construction benefits from AI to tackle some of its most difficult problems, such as cost, labour shortages, safety concerns and schedule overruns.
The research report covers Porter’s Five Forces Model, Market Attractiveness Analysis, and Value Chain analysis. These tools help to get a clear picture of the industry’s structure and evaluate the competition attractiveness at a global level. Additionally, these tools also give an inclusive assessment of each segment in the global market of Artificial Intelligence (AI) In Construction. The growth and trends of Artificial Intelligence (AI) In Construction industry provide a holistic approach to this study.
Market Segmentation
This section of the Artificial Intelligence (AI) In Construction market report provides detailed data on the segments at country and regional level, thereby assisting the strategist in identifying the target demographics for the respective product or services with the upcoming opportunities.
By Application
· Project Management
· Field Management
· Risk Management
· Schedule Management
By Industry Type
· Heavy Construction
· Institutional Commercials
· Residential
· Others
Browse Global Artificial Intelligence (AI) In Construction Market Research Report with detailed TOC at
Regional Analysis
This section covers the regional outlook, which accentuates current and future demand for the Artificial Intelligence (AI) In Construction market across North America, Europe, Asia-Pacific, Latin America, and Middle East & Africa. Further, the report focuses on demand, estimation, and forecast for individual application segments across all the prominent regions.
Want to print your doc?
This is not the way.
Try clicking the ⋯ next to your doc name or using a keyboard shortcut (
) instead.