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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.
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
The base year for the study has been considered 2019, historic year 2014 and 2018, the forecast period considered is from 2020 to 2027. The regions analyzed for the market include North America, Europe, South America, Asia Pacific, and Middle East and Africa. These regions are further analyzed at the country-level. The study also includes attractiveness analysis of type, application and regions which are benchmarked based on their market size, growth rate and attractiveness in terms of present and future opportunity for understanding the future growth of the market.
Market is segmented on the basis:
The report offers in-depth analysis of driving factors, opportunities, restraints, and challenges for gaining the key insight of the market. The report emphasizes on all the key trends that play a vital role in the enlargement of the market from 2019 to 2026.
The report provides company profile of the key players operating in the market and a comparative analysis based on their business overviews industry offering, segment market share, regional presence, business strategies, innovations, mergers & acquisitions, recent developments, joint venture, collaborations, partnerships, SWOT analysis, and key financial information.
Table of Contents
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
4 Global Big Data in Manufacturing Market Size by Regions
4.1 Global Big Data in Manufacturing Revenue and Market Share by Regions
4.2 North America Big Data in Manufacturing Revenue and Growth Rate (2013-2018)
4.3 Europe Big Data in Manufacturing Revenue and Growth Rate (2013-2018)
4.4 Asia-Pacific Big Data in Manufacturing Revenue and Growth Rate (2013-2018)
4.5 South America Big Data in Manufacturing Revenue and Growth Rate (2013-2018)
4.6 Middle East and Africa Big Data in Manufacturing Revenue and Growth Rate (2013-2018)
5 North America Big Data in Manufacturing Revenue by Countries
5.1 North America Big Data in Manufacturing Revenue by Countries (2013-2018)
5.2 USA Big Data in Manufacturing Revenue and Growth Rate (2013-2018)
5.3 Canada Big Data in Manufacturing Revenue and Growth Rate (2013-2018)
5.4 Mexico Big Data in Manufacturing Revenue and Growth Rate (2013-2018)
6 Europe Big Data in Manufacturing Revenue by Countries
6.1 Europe Big Data in Manufacturing Revenue by Countries (2013-2018)
6.2 Germany Big Data in Manufacturing Revenue and Growth Rate (2013-2018)
6.3 UK Big Data in Manufacturing Revenue and Growth Rate (2013-2018)
6.4 France Big Data in Manufacturing Revenue and Growth Rate (2013-2018)
6.5 Russia Big Data in Manufacturing Revenue and Growth Rate (2013-2018)
6.6 Italy Big Data in Manufacturing Revenue and Growth Rate (2013-2018)
7 Asia-Pacific Big Data in Manufacturing Revenue by Countries
7.1 Asia-Pacific Big Data in Manufacturing Revenue by Countries (2013-2018)
7.2 China Big Data in Manufacturing Revenue and Growth Rate (2013-2018)
7.3 Japan Big Data in Manufacturing Revenue and Growth Rate (2013-2018)
7.4 Korea Big Data in Manufacturing Revenue and Growth Rate (2013-2018)
7.5 India Big Data in Manufacturing Revenue and Growth Rate (2013-2018)
7.6 Southeast Asia Big Data in Manufacturing Revenue and Growth Rate (2013-2018)
8 South America Big Data in Manufacturing Revenue by Countries
8.1 South America Big Data in Manufacturing Revenue by Countries (2013-2018)
8.2 Brazil Big Data in Manufacturing Revenue and Growth Rate (2013-2018)
8.3 Argentina Big Data in Manufacturing Revenue and Growth Rate (2013-2018)
8.4 Colombia Big Data in Manufacturing Revenue and Growth Rate (2013-2018)
9 Middle East and Africa Revenue Big Data in Manufacturing by Countries
9.1 Middle East and Africa Big Data in Manufacturing Revenue by Countries (2013-2018)
9.2 Saudi Arabia Big Data in Manufacturing Revenue and Growth Rate (2013-2018)
9.3 UAE Big Data in Manufacturing Revenue and Growth Rate (2013-2018)
9.4 Egypt Big Data in Manufacturing Revenue and Growth Rate (2013-2018)
9.5 Nigeria Big Data in Manufacturing Revenue and Growth Rate (2013-2018)
9.6 South Africa Big Data in Manufacturing Revenue and Growth Rate (2013-2018)
10 Global Big Data in Manufacturing Market Segment by Type
10.1 Global Big Data in Manufacturing Revenue and Market Share by Type (2013-2018)
10.2 Global Big Data in Manufacturing Market Forecast by Type (2018-2023)
10.3 Discrete Manufacturing Revenue Growth Rate (2013-2023)
10.4 Process Manufacturing Revenue Growth Rate (2013-2023)
10.5 Mixed-Mode Manufacturing Revenue Growth Rate (2013-2023)
11 Global Big Data in Manufacturing Market Segment by Application
11.1 Global Big Data in Manufacturing Revenue Market Share by Application (2013-2018)
11.2 Big Data in Manufacturing Market Forecast by Application (2018-2023)
11.3 Predictive Maintenance Revenue Growth (2013-2018)
11.4 Budget Monitoring Revenue Growth (2013-2018)
11.5 Product Lifecycle Management Revenue Growth (2013-2018)
11.6 Field Activity Management Revenue Growth (2013-2018)
11.7 Others Revenue Growth (2013-2018)
12 Global Big Data in Manufacturing Market Size Forecast (2018-2023)
12.1 Global Big Data in Manufacturing Market Size Forecast (2018-2023)
12.2 Global Big Data in Manufacturing Market Forecast by Regions (2018-2023)
12.3 North America Big Data in Manufacturing Revenue Market Forecast (2018-2023)
12.4 Europe Big Data in Manufacturing Revenue Market Forecast (2018-2023)
12.5 Asia-Pacific Big Data in Manufacturing Revenue Market Forecast (2018-2023)
12.6 South America Big Data in Manufacturing Revenue Market Forecast (2018-2023)
12.7 Middle East and Africa Big Data in Manufacturing Revenue Market Forecast (2018-2023)
13 Research Findings and Conclusion
14 Appendix
14.1 Methodology
14.2 Data Source
List of Tables and Figures
Figure Big Data in Manufacturing Picture
Table Product Specifications of Big Data in Manufacturing
Table Global Big Data in Manufacturing and Revenue (Million USD) Market S
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