Big Data in Manufacturing Market Outlook - Latest Trends, Major Manufacturers, Global Analysis and Future Growth Study 2018 – 2023

In this report, RR Information studies the present scenario (with the base year being 2017) and the growth prospects of global Big Data in Manufacturing market for 2018-2023.

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.

Over the next five years, RR(RR Information) projects that Big Data in Manufacturing will register an xx% CAGR in terms of revenue, reach US$ xx million by 2023, from US$ xx million in 2017.

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This report presents a comprehensive overview, market shares and growth opportunities of Big Data in Manufacturing market by product type, application, key companies and key regions.

To calculate the market size, RR Information considers value generated from the sales of the following segments:

Segmentation by product type:
Discrete Manufacturing
Process Manufacturing
Segmentation by application:
Predictive Maintenance
Budget Monitoring
Product Lifecycle Management
Field Activity Management
Others

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We can also provide the customized separate regional or country-level reports, for the following regions:
Americas
United States
Canada
Mexico
Brazil
APAC
China
Japan
Korea
Southeast Asia
India
Australia
Europe
Germany
France
UK
Italy
Russia
Spain
Middle East & Africa
Egypt
South Africa
Israel
Turkey
GCC Countries

The report also presents the market competition landscape and a corresponding detailed analysis of the major players in the market. The key players covered in this report:
EMC
HP
IBM
Oracle
…

In addition, this report discusses the key drivers influencing market growth, opportunities, the challenges and the risks faced by key players and the market as a whole. It also analyzes key emerging trends and their impact on present and future development.

Research objectives
To study and analyze the global Big Data in Manufacturing market size by key regions/countries, product type and application, history data from 2013 to 2017, and forecast to 2023.
To understand the structure of Big Data in Manufacturing market by identifying its various subsegments.
Focuses on the key global Big Data in Manufacturing players, to define, describe and analyze the value, market share, market competition landscape, SWOT analysis and development plans in next few years.
To analyze the Big Data in Manufacturing with respect to individual growth trends, future prospects, and their contribution to the total market.
To share detailed information about the key factors influencing the growth of the market (growth potential, opportunities, drivers, industry-specific challenges and risks).
To project the size of Big Data in Manufacturing submarkets, with respect to key regions (along with their respective key countries).
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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