Big Data in Manufacturing 2018 Global Market – Innovation, Technologies, Applications, Verticals, Strategies & Forecasts

“Big Data in Manufacturing Market”
WiseGuyReports.Com Publish a New Market Research Report On –“ Big Data in Manufacturing 2018 Global Market – Innovation, Technologies, Applications, Verticals, Strategies & Forecasts”.

Description:-

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.

Scope of the Report:

This report studies the Big Data in Manufacturing market status and outlook of Global and major regions, from angles of players, countries, product types and end industries; this report analyzes the top players in global market, and splits the Big Data in Manufacturing market by product type and applications/end industries.

 

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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.

The global Big Data in Manufacturing market is valued at xx million USD in 2017 and is expected to reach xx million USD by the end of 2023, growing at a CAGR of xx% between 2017 and 2023.

The Asia-Pacific will occupy for more market share in following years, especially in China, also fast growing India and Southeast Asia regions.

North America, especially The United States, will still play an important role which cannot be ignored. Any changes from United States might affect the development trend of Big Data in Manufacturing.

Europe also play important roles in global market, with market size of xx million USD in 2017 and will be xx million USD in 2023, with a CAGR of xx%.

Market Segment by Companies, this report covers

EMC

HP

IBM

Oracle

Market Segment by Regions, regional analysis covers

North America (United States, Canada and Mexico)

Europe (Germany, France, UK, Russia and Italy)

Asia-Pacific (China, Japan, Korea, India and Southeast Asia)

South America (Brazil, Argentina, Colombia)

Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa)

Market Segment by Type, covers

Discrete Manufacturing

Process Manufacturing

Mixed-Mode Manufacturing

Market Segment by Applications, can be divided into

Predictive Maintenance

Budget Monitoring

Product Lifecycle Management

Field Activity Management

Others

 

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Table Of Contents – Major Key Points

1 Big Data in Manufacturing Market Overview

1.1 Product Overview and Scope of Big Data in Manufacturing

1.2 Classification of Big Data in Manufacturing by Types

1.2.1 Global Big Data in Manufacturing Revenue Comparison by Types (2017-2023)

1.2.2 Global Big Data in Manufacturing Revenue Market Share by Types in 2017

1.2.3 Discrete Manufacturing

1.2.4 Process Manufacturing

1.2.5 Mixed-Mode Manufacturing

1.3 Global Big Data in Manufacturing Market by Application

1.3.1 Global Big Data in Manufacturing Market Size and Market Share Comparison by Applications (2013-2023)

1.3.2 Predictive Maintenance

1.3.3 Budget Monitoring

1.3.4 Product Lifecycle Management

1.3.5 Field Activity Management

1.3.6 Others

1.4 Global Big Data in Manufacturing Market by Regions

1.4.1 Global Big Data in Manufacturing Market Size (Million USD) Comparison by Regions (2013-2023)

1.4.1 North America (USA, Canada and Mexico) Big Data in Manufacturing Status and Prospect (2013-2023)

1.4.2 Europe (Germany, France, UK, Russia and Italy) Big Data in Manufacturing Status and Prospect (2013-2023)

1.4.3 Asia-Pacific (China, Japan, Korea, India and Southeast Asia) Big Data in Manufacturing Status and Prospect (2013-2023)

1.4.4 South America (Brazil, Argentina, Colombia) Big Data in Manufacturing Status and Prospect (2013-2023)

1.4.5 Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa) Big Data in Manufacturing Status and Prospect (2013-2023)

1.5 Global Market Size of Big Data in Manufacturing (2013-2023)

2 Manufacturers Profiles

2.1 EMC

2.1.1 Business Overview

2.1.2 Big Data in Manufacturing Type and Applications

2.1.2.1 Product A

2.1.2.2 Product B

2.1.3 EMC Big Data in Manufacturing Revenue, Gross Margin and Market Share (2016-2017)

2.2 HP

2.2.1 Business Overview

2.2.2 Big Data in Manufacturing Type and Applications

2.2.2.1 Product A

2.2.2.2 Product B

2.2.3 HP Big Data in Manufacturing Revenue, Gross Margin and Market Share (2016-2017)

2.3 IBM

2.3.1 Business Overview

2.3.2 Big Data in Manufacturing Type and Applications

2.3.2.1 Product A

2.3.2.2 Product B

2.3.3 IBM Big Data in Manufacturing Revenue, Gross Margin and Market Share (2016-2017)

2.4 Oracle

2.4.1 Business Overview

2.4.2 Big Data in Manufacturing Type and Applications

2.4.2.1 Product A

2.4.2.2 Product B

2.4.3 Oracle Big Data in Manufacturing Revenue, Gross Margin and Market Share (2016-2017)

3 Global Big Data in Manufacturing Market Competition, by Players

3.1 Global Big Data in Manufacturing Revenue and Share by Players (2013-2018)

3.2 Market Concentration Rate

3.2.1 Top 5 Big Data in Manufacturing Players Market Share

3.2.2 Top 10 Big Data in Manufacturing Players Market Share

3.3 Market Competition Trend

Continued……

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