AI-In-Construction Market by Technology (Natural Language Processing and Machine Learning and Deep Learning), by Component (Solutions and Services), by Deployment (On-Premises and Cloud), and by Application (Project Management, Risk Management, Field Management, Supply Chain Management, and Schedule Management)-Global Industry Analytics, COVID-19 Business Impact, and Trends, 2017—2024

  • TBI534735
  • July 24, 2020
  • Global
  • 132 pages
  • SAC Insights


The report covers a forecast and an analysis of the AI-In-Construction market on a global and regional level. The study provides historic data for 2015, 2015, and 2017 along with a forecast from 2018 to 2024 based on revenue (USD Million). The study includes the drivers and restraints for the AI-In-Construction market along with the impact they have on the demand over the forecast period. Additionally, the report includes the study of opportunities available in the AI-In-Construction market on a global level. The report provides a transparent outlook of the AI-In-Construction market. We have included a detailed competitive scenario and portfolio of the leading vendors operating in AI-In-Construction market. To understand the competitive landscape in the AI-In-Construction market, an analysis of Porter’s Five Forces model for the market has also been included. The study encompasses a market attractiveness analysis, wherein technology, component, deployment, application, and regional segments are benchmarked based on their general attractiveness, market size, and their growth rate. The report provides company market share analysis to give a broader overview of the key players in the market. In addition, the report also covers key strategic developments of the market including acquisitions & mergers, new product launch, agreements, partnerships, collaborations & joint ventures, research & development, and product and regional expansion of major participants involved in the market on a regional basis. The study provides a crucial view of the AI-In-Construction market by segmenting the market based on technology, component, application, deployment, and region. Based on technology, the AI-In-Construction market is segmented into natural language processing and machine learning and deep learning. Solutions and services comprise the market’s component segment. Project management, risk management, field management, supply chain management, and schedule management comprise the market’s application segment. By deployment, the AI-In-Construction market is bifurcated into on-premises and cloud. The regional segmentation comprises the current and forecasts demand for North America, Europe, Asia Pacific, Latin America, and the Middle East and Africa with its further divided into major countries including the U.S., France, UK, Germany, China, India, Japan, and Brazil. The competitive profiling of key players of the AI-In-Construction market includes company and financial overview, business strategies adopted by them, their recent developments, and products offered by them that can help in assessing the market competition. Some of the noticeable players operating in this market are Renoworks Software, IBM, Autodesk, Microsoft, Oracle, SAP, Building System Planning, Alice Technologies, Askporter, eSUB, SmarTVid.Io, Darktrace, Aurora Computer Services, Jaroop, Lili.Ai, Predii, Assignar, Deepomatic, Coins Global, Beyond Limits, Doxel, Plangrid, and Bentley Systems, among others. This report segments the global AI-In-construction market as follows: Global AI-In-Construction Market: Technology Segment Analysis Natural Language Processing Machine Learning and Deep Learning Global AI-In-Construction Market: Component Segment Analysis Solutions  Services Global AI-In-Construction Market: Application Segment Analysis Project Management  Risk Management Field Management  Supply Chain Management  Schedule Management Global AI-In-Construction Market: Deployment Segment Analysis On-Premises Cloud Global AI-In-Construction Market: Regional Segment Analysis North America The U.S. Europe UK France Germany Asia Pacific China Japan India Latin America Brazil Middle East and Africa

Table of Contents
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	Chapter 1. Preface
		1.1. Report description and scope
		1.2. Research scope
		1.3. Research methodology
			1.3.1. Market research process
			1.3.2. Market research methodology
	Chapter 2. Executive Summary
		2.1. Global AI-In-Construction Market, 2017 - 2024, (USD Million)
		2.2. AI-In-Construction Market: Market Snapshot
	Chapter 3. Glob
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