Big Data in Manufacturing Market evelopment, Innovation, Opportunities and Growth to 2025

Qyresearchreports include new market research report “Global Big Data in Manufacturing Market Size,Status and Forecast 2025” to its huge collection of research reports.

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 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.

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

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