This report studies the global Big Data in Manufacturing market size, industry status and forecast, competition landscape and growth opportunity. This research report categorizes the global Big Data in Manufacturing market by companies, region, type and end-use industry.
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Scope of this Report:
Big data is a term used for large volume of structured and unstructured data stored on a daily basis. Further, big data analytics technique is implemented by the companies to examine market trends, hidden patterns, and other useful information, which helps in making effective business decisions. Big data analytics in manufacturing helps enterprises in better supply chain planning, process defect tracking, and components defect tracking. Predictive analytics is one of the major applications of big data analytics used to extract information from data, and predict trends and behavior patterns.
Rise in demand for big data across various industry verticals and increase in demand for big data in manufacturing to reduce the production defects and optimize supply chain management are expected to boost the market. It is estimated that the data generated in a day in current global scenario is equivalent to the data generated in last decade. To handle such huge amounts of data, Big Data has often proved to be a useful tool. With the concept of Industry 4.0 shaping the production establishments in the modern manufacturing industry, the amount of data produced from the manufacturing sector grew rapidly. However, integration of big data is a complex process, which is expected to hinder the market growth. Moreover, adoption of manufacturing analytics by various automobile manufacturers presents a major opportunity for the key players in the manufacturing market.
In 2017, the global Big Data in Manufacturing 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 2018-2025.
This report focuses on the global top players, covered
Market segment by Regions/Countries, this report covers
United States
Europe
China
Japan
Southeast Asia
India
Market segment by Type, the product can be split into
Discrete Manufacturing
Process Manufacturing
Mixed-Mode Manufacturing
Market segment by Application, split into
Predictive Maintenance
Budget Monitoring
Product Lifecycle Management
Field Activity Management
Others
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Table of Content:
1 Industry Overview of Big Data in Manufacturing
1.1 Big Data in Manufacturing Market Overview
1.1.1 Big Data in Manufacturing Product Scope
1.1.2 Market Status and Outlook
1.2 Global Big Data in Manufacturing Market Size and Analysis by Regions (2013-2018)
1.2.1 United States
1.2.2 Europe
1.2.3 China
1.2.4 Japan
1.2.5 Southeast Asia
1.2.6 India
1.3 Big Data in Manufacturing Market by Type
1.3.1 Discrete Manufacturing
1.3.2 Process Manufacturing
1.3.3 Mixed-Mode Manufacturing
1.4 Big Data in Manufacturing Market by End Users/Application
1.4.1 Predictive Maintenance
1.4.2 Budget Monitoring
1.4.3 Product Lifecycle Management
1.4.4 Field Activity Management
1.4.5 Others
2 Global Big Data in Manufacturing Competition Analysis by Players
2.1 Big Data in Manufacturing Market Size (Value) by Players (2013-2018)
2.2 Competitive Status and Trend
2.2.1 Market Concentration Rate
2.2.2 Product/Service Differences
2.2.3 New Entrants
2.2.4 The Technology Trends in Future
3 Company (Top Players) Profiles
3.1 EMC
3.1.1 Company Profile
3.1.2 Main Business/Business Overview
3.1.3 Products, Services and Solutions
3.1.4 Big Data in Manufacturing Revenue (Million USD) (2013-2018)
3.2 HP
3.2.1 Company Profile
3.2.2 Main Business/Business Overview
3.2.3 Products, Services and Solutions
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3.2.4 Big Data in Manufacturing Revenue (Million USD) (2013-2018)
3.3 IBM
3.3.1 Company Profile
3.3.2 Main Business/Business Overview
3.3.3 Products, Services and Solutions
3.3.4 Big Data in Manufacturing Revenue (Million USD) (2013-2018)
3.4 Oracle
3.4.1 Company Profile
3.4.2 Main Business/Business Overview
3.4.3 Products, Services and Solutions
3.4.4 Big Data in Manufacturing Revenue (Million USD) (2013-2018)
Continued….
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