Artificial Intelligence in Construction Market Revenue Analysis | CAGR of 35% to be Achieved by Major Vendors, Recent Trends and Forecast till 2023

Global Artificial Intelligence in Construction Market Research Report — By Stage (Pre-Construction, Construction Stage, Post-Construction), Component (Solutions & Services), Technology (Machine & Deep learning, NLP, Neural Networks), and by Application - Forecast till 2023

Key Players
Key Players Market research future identifies some of the key players of Artificial Intelligence in Construction Market Some of the key players of AI in Construction market include IBM Corporation (U.S.), Oracle Corporation (U.S), SAP SE (Germany), Alice Technologies.(U.S.), Microsoft Corporation (U.S.), Aurora Computer Services(U.K), Autodesk (U.S.), eSUB (U.S.), Smartvid.io(U.S.),and Building System Planning (U.S.)
Some other vendors who are involved in AI construction market are Jaroop, Lili.Ai, Predii, Assignar, Deepomatic, Coins Global, Beyond Limits, Doxel Askporter, Plangrid, Bentley Systems, and Renoworks Software.

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Overview
With the advent of technology, engineering and construction sector has commenced the use of emerging technologies such as artificial intelligence (AI) to complete projects with enhanced operational efficiency, fewer errors & omissions, safer working environments, and shorten the project delays. Though Artificial Intelligence positively impacts multiple fields in every industrial vertical, there are also few other technologies which play a crucial role in real estate & construction sector. One of such techniques is Machine Learning, which involves implementing and training the complex algorithms for large data sets to identify and design desired patterns which increases the efficiency and performance of the tasks. According to a study, implementing AI in safety sensors, drones, autonomous vehicles, and robots are recognized as emerging trends in construction market over the forecast period. Moreover, slow adoption rate of AI in construction and complex software algorithms for developing construction specific programs are expected to be a few inhibiting factors the growth of AI in construction market over the forecast period.

Segments
AI in the construction market is differentiated by stage, component, technology, deployment, organization size, and application.
On the basis of the stage, the market is categorized into pre-construction, construction stage, and post-construction. By component, the AI in construction market is sub-segmented as solutions and services. The solution segment is categorized as virtual assistant, design & planning, revenue estimation, demand forecasting, predictive maintenance, and others. The service sub-segment comprised training & consulting, implementation services, and other support services.
On the basis of technology, the market is segregated into neural networks, machine learning & deep learning, and natural learning programming (NLP). Additionally, on the basis of deployment, the market is bifurcated into on-cloud and on-premise. Depending on the organization size, the market is classified as large enterprises and small & medium enterprise.
On the basis of application, the market is categorized as, building information management, schedule management, project management, risk management, equipment management, and supply chain management.
According to the analysis of Market Research Future, the market for AI in construction sector has been valued at approximately over USD 2,011.4 million growing with a 35% CAGR during the forecast period 2018-2023.

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Regional Analysis
Geographically, the AI in construction market is segmented into four different regions namely North America, Asia Pacific, Europe, and the Rest of the World.
North America is presumed to have significant growth in the AI in the construction market, the U.S. and Canada being leading countries in the market. The regional dominance is owing to increased investment by the companies, such as IBM Corporation, Oracle Corporation and many more, in developing technologies such as neural networks and machine learning. Additionally, Asia Pacific is also expected to register a considerable growth rate in the market. China, Japan, South Korea, and India are the leading countries in this region. The market growth is due to increase in demand by the economies to develop smart city projects which require better amenities that boost the real estate sector.

TABLE OF CONTENTS
1 Executive Summary
2 Scope Of The Report
2.1 Market Definition
2.2 Scope Of The Study
2.2.1 Research Objectives
2.2.2 Assumptions & Limitations
2.3 Markets Structure
3 Market Research Methodology
3.1 Research Process
3.2 Secondary Research
3.3 Primary Research
3.4 Forecast Model
4 Market Landscape
Continued…….

LIST OF TABLES
Table1 Global AI In Construction Market: By Region, 2018-2023
Table2 North America AI In Construction Market: By Country, 2018-2023
Table3 Europe AI In Construction Market: By Country, 2018-2023
Table4 Asia Pacific AI In Construction Market: By Country, 2018-2023
Table5 The Middle East & Africa AI In Construction Market: By Country, 2018-2023
Continued…….

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LIST OF FIGURES
FIGURE 1 Global AI In Construction Software Market Segmentation
FIGURE 2 Forecast Methodology
FIGURE 3 Porter’s Five Forces Analysis Of Global AI In Construction Software Market
FIGURE 4 Value Chain Of Global AI In Construction Software Market
FIGURE 5 Share Of Global AI In Construction Software Market In 2018, By Country (In %)
Continued…….

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