Artificial Intelligence (AI) in Construction Industry Size by Trends Foreseen to Propel Tremendously Growth | Insight 2025


PUNE, IndiaJuly 18, 2018

The report “Artificial Intelligence (AI) in Construction Industry By Technology (Natural Language Processing and Machine Learning and Deep Learning) By Stage (Pre-Construction, Construction Stage and Post-Construction) By Component (Solutions and Services) By Application (Project Management, Risk Management, Field Management, Supply Chain Management and Schedule Management) By Deployment Type (On-Premises and Cloud) – Global Forecast to 2025″, issued by Crystal Market Research, the market has encountered substantial development I the recent years and is anticipated to grow significantly over the forecast period.

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Explore Report Description with Detailed TOC on Artificial Intelligence (AI) in Construction Industry at: .

By Technology Machine Learning and Deep Learning Segment Is Expected To Have the Larger Market Size

In terms of technologies, the machine learning and deep learning portion is anticipated to have the bigger market estimate. Because of the developing need to examine dark information and automate business operations, the usage of machine learning and deep learning advancements has expanded development in the construction business.

Major Leading Players:

The entrenched players in the market are Oracle Corporation, eSUB Construction Software, AURORA COMPUTER SERVICES LIMITED, IBM, Building SP, SAP SE, Alice Technologies and Microsoft Corporation. The main objective of these players is to focus on new product development and their presence in the market.

In Terms Of Applications the Project Management Segment Is Foreseen To Be Leading Segment

The AI in construction market has additionally been fragmented based on applications. The project management section is anticipated to have the biggest market estimate. This application is the principal most imperative stage of planning a construction venture. It includes managing the designing stage, drafting of the proposal, and archiving loans, funds, and other small details that are identified with the project.

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The Cloud Deployment Type Segment Is Most Preferred Among Deployment Type

Based on deployment types, the cloud deployment type is anticipated to develop at a higher CAGR amid the gauge time frame. This deployment type is cost-effective and convenient for use in applications. It provides several advantages, such as less cost of operation and maintenance, lesser complications, and enhanced scalability.

North America is anticipated to have the biggest market estimate in the AI in Construction Market

The North American region has been ahead in technological implementation and is a center point for several propelled construction organizations. Furthermore, construction companies in the North American region have invested substantially in the market, and several vendors have developed to cater to the rapidly developing market.

Research Methodology:

We utilize both essential and in addition optional research for our market overviews, gauges and for creating estimate. Our research process commence by analyzing the problem which enable us to design the scope for our research study. Our research process is uniquely designed with enough flexibility to adjust according to changing nature of products and markets, while retaining core element to ensure reliability and accuracy in research findings. We understand both macro and micro-economic factors to evaluate and forecast different market segments.

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About Crystal Market Research:

Crystal Market Research is a market research and business intelligence company. Crystal offers one stop solution for market research, business intelligence, and consulting services to help clients make more informed decisions. It provides both syndicated as well as customized research studies for its customers spread across the globe. The company offers market intelligence reports across a broad range of industries including healthcare, chemicals & materials, technology, automotive, and energy.

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