Global Big Data In Manufacturing Market Size, Status And Forecast 2018 - 2025

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.

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.

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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.

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
EMC
HP
IBM
Oracle
...

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

The study objectives of this report are:
To study and forecast the market size of Big Data in Manufacturing in global market.
To analyze the global key players, SWOT analysis, value and global market share for top players.
To define, describe and forecast the market by type, end use and region.
To analyze and compare the market status and forecast between China and major regions, namely, United States, Europe, China, Japan, Southeast Asia, India and Rest of World.
To analyze the global key regions market potential and advantage, opportunity and challenge, restraints and risks.
To identify significant trends and factors driving or inhibiting the market growth.
To analyze the opportunities in the market for stakeholders by identifying the high growth segments.
To strategically analyze each submarket with respect to individual growth trend and their contribution to the market
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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In this study, the years considered to estimate the market size of Big Data in Manufacturing are as follows:
History Year: 2013-2017
Base Year: 2017
Estimated Year: 2018
Forecast Year 2018 to 2025
For the data information by region, company, type and application, 2017 is considered as the base year. Whenever data information was unavailable for the base year, the prior year has been considered.

Key Stakeholders
Big Data in Manufacturing Manufacturers
Big Data in Manufacturing Distributors/Traders/Wholesalers
Big Data in Manufacturing Subcomponent Manufacturers
Industry Association
Downstream Vendors

Table of Contents

Global Big Data in Manufacturing Market Size, Status and Forecast 2025
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

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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
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)

4 Global Big Data in Manufacturing Market Size by Type and Application (2013-2018)
4.1 Global Big Data in Manufacturing Market Size by Type (2013-2018)
4.2 Global Big Data in Manufacturing Market Size by Application (2013-2018)
4.3 Potential Application of Big Data in Manufacturing in Future
4.4 Top Consumer/End Users of Big Data in Manufacturing

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