Artificial Intelligence in Manufacturing and Supply Chain Market 2019
Artificial intelligence (AI), sometimes called machine intelligence, is intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans and other animals.
Artificial Intelligence (AI) is one of the most exciting technologies of the 21st century and has been the subject of debate across various business sectors. AI has several industrial applications where production plants can operate without human supervision. The machinery and equipment that are AI-enabled can function by acquiring human intelligence abilities. Supply chains in manufacturing are quickly adapting AI technologies as part of their digitization strategies. AI in supply chains helps in organizing and analyzing data, which helps decision making problems, ranging from logistics to warehousing. Such AI-enabled applications in the manufacturing industry are expected to improve efficiency and aid saving of time.
In 2018, the global Artificial Intelligence in Manufacturing and Supply Chain market size was xx million US$ and it is expected to reach xx million US$ by the end of 2025, with a CAGR of xx% during 2019-2025.
This report focuses on the global Artificial Intelligence in Manufacturing and Supply Chain status, future forecast, growth opportunity, key market and key players. The study objectives are to present the Artificial Intelligence in Manufacturing and Supply Chain development in United States, Europe and China.
The key players covered in this study
IBM
Microsoft
Oracle
Google
SAS
SAP SE
Siemens
Salesforce
Cambridge Analytica
Civis Analytics
RapidMiner
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Market segment by Type, the product can be split into
On-premise
Cloud-based
Market segment by Application, split into
Automotive
Aerospace
Chemicals
Building Construction
Others
Market segment by Regions/Countries, this report covers
United States
Europe
China
Japan
Southeast Asia
India
Central & South America
The study objectives of this report are:
To analyze global Artificial Intelligence in Manufacturing and Supply Chain status, future forecast, growth opportunity, key market and key players.
To present the Artificial Intelligence in Manufacturing and Supply Chain development in United States, Europe and China.
To strategically profile the key players and comprehensively analyze their development plan and strategies.
To define, describe and forecast the market by product type, market and key regions.
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Table of Contents –Analysis of Key Points
1 Report Overview
1.1 Study Scope
1.2 Key Market Segments
1.3 Players Covered
1.4 Market Analysis by Type
1.4.1 Global Artificial Intelligence in Manufacturing and Supply Chain Market Size Growth Rate by Type (2014-2025)
1.4.2 On-premise
1.4.3 Cloud-based
1.5 Market by Application
1.5.1 Global Artificial Intelligence in Manufacturing and Supply Chain Market Share by Application (2014-2025)
1.5.2 Automotive
1.5.3 Aerospace
1.5.4 Chemicals
1.5.5 Building Construction
1.5.6 Others
1.6 Study Objectives
1.7 Years Considered
2 Global Growth Trends
2.1 Artificial Intelligence in Manufacturing and Supply Chain Market Size
2.2 Artificial Intelligence in Manufacturing and Supply Chain Growth Trends by Regions
2.2.1 Artificial Intelligence in Manufacturing and Supply Chain Market Size by Regions (2014-2025)
2.2.2 Artificial Intelligence in Manufacturing and Supply Chain Market Share by Regions (2014-2019)
2.3 Industry Trends
2.3.1 Market Top Trends
2.3.2 Market Drivers
2.3.3 Market Opportunities
……
8 Manufacturers Profiles
8.1 Dow Corning
8.1.1 Dow Corning Company Details
8.1.2 Company Description
8.1.3 Capacity, Production and Value of Solid Lubricants
8.1.4 Solid Lubricants Product Description
8.1.5 SWOT Analysis
8.2 Freudenberg(OSK)
8.2.1 Freudenberg(OSK) Company Details
8.2.2 Company Description
8.2.3 Capacity, Production and Value of Solid Lubricants
8.2.4 Solid Lubricants Product Description
8.2.5 SWOT Analysis
8.3 SKF
8.3.1 SKF Company Details
8.3.2 Company Description
8.3.3 Capacity, Production and Value of Solid Lubricants
8.3.4 Solid Lubricants Product Description
8.3.5 SWOT Analysis
8.4 Whitford
8.4.1 Whitford Company Details
8.4.2 Company Description
8.4.3 Capacity, Production and Value of Solid Lubricants
8.4.4 Solid Lubricants Product Description
8.4.5 SWOT Analysis
8.5 Henkel
8.5.1 Henkel Company Details
8.5.2 Company Description
8.5.3 Capacity, Production and Value of Solid Lubricants
8.5.4 Solid Lubricants Product Description
8.5.5 SWOT Analysis
8.6 Everlube
8.6.1 Everlube Company Details
8.6.2 Company Description
8.6.3 Capacity, Production and Value of Solid Lubricants
8.6.4 Solid Lubricants Product Description
8.6.5 SWOT Analysis
8.7 Weicon
8.7.1 Weicon Company Details
8.7.2 Company Description
8.7.3 Capacity, Production and Value of Solid Lubricants
8.7.4 Solid Lubricants Product Description
8.7.5 SWOT Analysis
8.8 Dynacron
8.8.1 Dynacron Company Details
8.8.2 Company Description
8.8.3 Capacity, Production and Value of Solid Lubricants
8.8.4 Solid Lubricants Product Description
8.8.5 SWOT Analysis
8.9 B’laster
8.9.1 B’laster Company Details
8.9.2 Company Description
8.9.3 Capacity, Production and Value of Solid Lubricants
8.9.4 Solid Lubricants Product Description
8.9.5 SWOT Analysis
Continued…..
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