Artificial Intelligence in Construction Market to 2025 by Top Competitors: IBM, Microsoft, Oracle, SAP, Alice Technologies, eSUB, SmarTVid.Io, DarKTrace, Aurora Computer Services, Autodesk, Jaroop, Lili.Ai, Predii, Assignar, Deepomatic

Reportsintellect.com Add New Global Artificial Intelligence in Construction Market by Manufacturers, Countries, Type, and Application, Forecast to 2025 to its research database.

Artificial intelligence is the concept of machines being able to perform tasks in a way that would mimic complex human intelligence capabilities like recognition, planning and decision making. Although the technology was first introduced in the early 1950s, it has come to light in the past few decades. The advent of the internet of things and the fourth industrial revolution (Industry 4.0) increased the usage of this technology, especially in the heavy industries, like oil & gas, general manufacturing, and automotive.

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Although the technology is widespread in all the parallel industries, construction has been the slowest segment, in terms of adoption of artificial intelligence technology. However, in the recent years, this technology has been beneficial in pre-construction phases, like planning and designing, enabling advanced capabilities for building information modeling and generative design. Considerable innovations in safety, monitoring, and maintenance systems that use AI capabilities to predict and warn about adverse situations are increasing the role of AI-based technology in the construction industry gradually.

This report focuses on the global Artificial Intelligence in Construction status, future forecast, growth opportunity, key market and key players. The study objectives are to present the Artificial Intelligence in Construction development in United States, Europe and China.
Research objectives

• To study and analyze the global 2018 Top 5 Flexible Heating Element Players in North America, Europe, Asia-Pacific, South America, Middle East and Africa consumption (value & volume) by key regions/countries, product type and application, history data from 2013 to 2017, and forecast to 2025.
• To understand the structure of 2018 Top 5 Flexible Heating Element Players in North America, Europe, Asia-Pacific, South America, Middle East and Africa market by identifying its various sub-segments.
• Focuses on the key global 2018 Top 5 Flexible Heating Element Players in North America, Europe, Asia-Pacific, South America, Middle East and Africa manufacturers, to define, describe and analyze the sales volume, value, market share, market competition landscape, SWOT analysis and development plans in next few years.
• To analyze the 2018 Top 5 Flexible Heating Element Players in North America, Europe, Asia-Pacific, South America, Middle East and Africa with respect to individual growth trends, future prospects, and their contribution to the total market.
• To share detailed information about the key factors influencing the growth of the market (growth potential, opportunities, drivers, industry-specific challenges and risks).
• To project the consumption of 2018 Top 5 Flexible Heating Element Players in North America, Europe, Asia-Pacific, South America, Middle East and Africa submarkets, with respect to key regions (along with their respective key countries).
• To analyze competitive developments such as expansions, agreements, new product launches, and acquisitions in the market.
• To strategically profile the key players and comprehensively analyze their growth strategies.

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Key Players: IBM, Microsoft, Oracle, SAP, Alice Technologies, eSUB, SmarTVid.Io, DarKTrace, Aurora Computer Services, Autodesk, Jaroop, Lili.Ai, Predii, Assignar, Deepomatic, Coins Global, Beyond Limits, Doxel, Askporter, Plangrid, Renoworks Software, Building System Planning, Bentley Systems

This report also splits the market by region:
Americas
United States
Canada
Mexico
Brazil
APAC
China
Japan
Korea
Southeast Asia
India
Australia
Europe
Germany
France
UK
Italy
Russia
Spain
Middle East & Africa
Egypt
South Africa
Israel
Turkey
GCC Countries

Table of Contents

2018-2025 Global Artificial Intelligence in Construction Consumption Market Report

1 Scope of the Report
1.1 Market Introduction
1.2 Research Objectives
1.3 Years Considered
1.4 Market Research Methodology
1.5 Economic Indicators
1.6 Currency Considered

2 Executive Research Reports Inc. Add New Global Artificial Intelligence in Construction Market by Manufacturers, Countries, Type and Application, Forecast to 2025 to its research database.
2.1 World Market Overview
2.1.1 Global Artificial Intelligence in Construction Consumption 2013-2025
2.1.2 Artificial Intelligence in Construction Consumption CAGR by Region
2.2 Artificial Intelligence in Construction Segment by Type
2.2.1 Standard Non-Sealed Motorcycle Chain
2.2.2 O-Ring Motorcycle Chain
2.2.3 X-Ring Motorcycle Chain
2.3 Artificial Intelligence in Construction Consumption by Type
2.3.1 Global Artificial Intelligence in Construction Consumption Market Share by Type (2013-2018)
2.3.2 Global Artificial Intelligence in Construction Revenue and Market Share by Type (2013-2018)
2.3.3 Global Artificial Intelligence in Construction Sale Price by Type (2013-2018)
2.4 Artificial Intelligence in Construction Segment by Application
2.4.1 OEM
2.4.2 Aftermarket
2.5 Artificial Intelligence in Construction Consumption by Application
2.5.1 Global Artificial Intelligence in Construction Consumption Market Share by Application (2013-2018)
2.5.2 Global Artificial Intelligence in Construction Value and Market Share by Application (2013-2018)
2.5.3 Global Artificial Intelligence in Construction Sale Price by Application (2013-2018)

3 Global Artificial Intelligence in Construction by Players
3.1 Global Artificial Intelligence in Construction Sales Market Share by Players
3.1.1 Global Artificial Intelligence in Construction Sales by Players (2016-2018)
3.1.2 Global Artificial Intelligence in Construction Sales Market Share by Players (2016-2018)
3.2 Global Artificial Intelligence in Construction Revenue Market Share by Players
3.2.1 Global Artificial Intelligence in Construction Revenue by Players (2016-2018)
3.2.2 Global Artificial Intelligence in Construction Revenue Market Share by Players (2016-2018)
3.3 Global Artificial Intelligence in Construction Sale Price by Players
3.4 Global Artificial Intelligence in Construction Manufacturing Base Distribution, Sales Area, Product Types by Players
3.4.1 Global Artificial Intelligence in Construction Manufacturing Base Distribution and Sales Area by Players
3.4.2 Players Artificial Intelligence in Construction Products Offered
3.5 Market Concentration Rate Analysis
3.5.1 Competition Landscape Analysis
3.5.2 Concentration Ratio (CR3, CR5 and CR10) (2016-2018)
3.6 New Products and Potential Entrants
3.7 Mergers & Acquisitions, Expansion

4 Artificial Intelligence in Construction by Regions
4.1 Artificial Intelligence in Construction by Regions
4.1.1 Global Artificial Intelligence in Construction by Regions
4.1.2 Global Artificial Intelligence in Construction Value by Regions
4.2 Americas Artificial Intelligence in Construction Growth
4.3 APAC Artificial Intelligence in Construction Growth
4.4 Europe Artificial Intelligence in Construction Growth
4.5 Middle East & Africa Artificial Intelligence in Construction Growth

5 Americas
5.1 Americas Artificial Intelligence in Construction by Countries
5.1.1 Americas Artificial Intelligence in Construction by Countries (2013-2018)
5.1.2 Americas Artificial Intelligence in Construction Value by Countries (2013-2018)
5.2 Americas Artificial Intelligence in Construction by Type
5.3 Americas Artificial Intelligence in Construction by Application
5.4 United States
5.5 Canada
5.6 Mexico
5.7 Key Economic Indicators of Few Americas Countries

6 APAC
6.1 APAC Artificial Intelligence in Construction by Countries
6.1.1 APAC Artificial Intelligence in Construction by Countries (2013-2018)
6.1.2 APAC Artificial Intelligence in Construction Value by Countries (2013-2018)
6.2 APAC Artificial Intelligence in Construction by Type
6.3 APAC Artificial Intelligence in Construction by Application
6.4 China
6.5 Japan
6.6 Korea
6.7 Southeast Asia
6.8 India
6.9 Australia
6.10 Key Economic Indicators of Few APAC Countries

7 Europe
7.1 Europe Artificial Intelligence in Construction by Countries
7.1.1 Europe Artificial Intelligence in Construction by Countries (2013-2018)
7.1.2 Europe Artificial Intelligence in Construction Value by Countries (2013-2018)
7.2 Europe Artificial Intelligence in Construction by Type
7.3 Europe Artificial Intelligence in Construction by Application
7.4 Germany
7.5 France
7.6 UK
7.7 Italy
7.8 Russia
7.9 Spain
7.10 Key Economic Indicators of Few Europe Countries

8 Middle East & Africa
8.1 Middle East & Africa Artificial Intelligence in Construction by Countries
8.1.1 Middle East & Africa Artificial Intelligence in Construction by Countries (2013-2018)
8.1.2 Middle East & Africa Artificial Intelligence in Construction Value by Countries (2013-2018)
8.2 Middle East & Africa Artificial Intelligence in Construction by Type
8.3 Middle East & Africa Artificial Intelligence in Construction by Application
8.4 Egypt
8.5 South Africa
8.6 Israel
8.7 Turkey
8.8 GCC Countries

9 Market Drivers, Challenges and Trends
9.1 Market Drivers and Impact
9.1.1 Growing Demand from Key Regions
9.1.2 Growing Demand from Key Applications and Potential Industries
9.2 Market Challenges and Impact
9.3 Market Trends

10 Marketing, Distributors and Customer
10.1 Sales Channel
10.1.1 Direct Marketing
10.1.2 Indirect Marketing
10.2 Artificial Intelligence in Construction Distributors
10.3 Artificial Intelligence in Construction Customer

11 Global Artificial Intelligence in Construction Market Forecast
11.1 Global Artificial Intelligence in Construction Forecast (2018-2025)
11.2 Global Artificial Intelligence in Construction Forecast by Regions
11.2.1 Global Artificial Intelligence in Construction Forecast by Regions (2018-2025)
11.2.2 Global Artificial Intelligence in Construction Value Forecast by Regions (2018-2025)
11.2.3 Americas Consumption Forecast
11.2.4 APAC Consumption Forecast
11.2.5 Europe Consumption Forecast
11.2.6 Middle East & Africa Consumption Forecast
11.3 Americas Forecast by Countries
11.3.1 United States Market Forecast
11.3.2 Canada Market Forecast
11.3.3 Mexico Market Forecast
11.3.4 Brazil Market Forecast
11.4 APAC Forecast by Countries
11.4.1 China Market Forecast
11.4.2 Japan Market Forecast
11.4.3 Korea Market Forecast
11.4.4 Southeast Asia Market Forecast
11.4.5 India Market Forecast
11.4.6 Australia Market Forecast
11.5 Europe Forecast by Countries
11.5.1 Germany Market Forecast
11.5.2 France Market Forecast
11.5.3 UK Market Forecast
11.5.4 Italy Market Forecast
11.5.5 Russia Market Forecast
11.5.6 Spain Market Forecast
11.6 Middle East & Africa Forecast by Countries
11.6.1 Egypt Market Forecast
11.6.2 South Africa Market Forecast
11.6.3 Israel Market Forecast
11.6.4 Turkey Market Forecast
11.6.5 GCC Countries Market Forecast
11.7 Global Artificial Intelligence in Construction Forecast by Type
11.8 Global Artificial Intelligence in Construction Forecast by Application

12 Key Players Analysis
12.1 Qingdao Choho
12.1.1 Company Details
12.1.2 Artificial Intelligence in Construction Product Offered
12.1.3 Qingdao Choho Artificial Intelligence in Construction Sales, Revenue, Price and Gross Margin (2016-2018)
12.1.4 Main Business Overview
12.1.5 Qingdao Choho News
12.2 KMC
12.2.1 Company Details
12.2.2 Artificial Intelligence in Construction Product Offered
12.2.3 KMC Artificial Intelligence in Construction Sales, Revenue, Price and Gross Margin (2016-2018)
12.2.4 Main Business Overview
12.2.5 KMC News
12.3 DAIDO KOGYO
12.3.1 Company Details
12.3.2 Artificial Intelligence in Construction Product Offered
12.3.3 DAIDO KOGYO Artificial Intelligence in Construction Sales, Revenue, Price and Gross Margin (2016-2018)
12.3.4 Main Business Overview
12.3.5 DAIDO KOGYO News

Reasons to Buy

- Current and future of Artificial Intelligence in Construction Market outlook in the developed and emerging markets
- Highlights key business priorities in order to assist companies to realign their business strategies
- The segment that is expected to dominate the Artificial Intelligence in Construction Market
- Regions that are expected to witness the fastest growth during the forecast period
- Identify the latest developments, Artificial Intelligence in Construction Market shares, and strategies employed by the major market players
- Save and reduce time carrying out entry-level research by identifying the growth, size, leading players and segments in the global Artificial Intelligence in Construction Market
- Develop/modify business expansion plans by using substantial growth offering developed and emerging markets

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