Global Big Data in Manufacturing Market Size, Status and Forecast 2019-2025

Published On: Jul 2019

Format: PDF

Publisher: QY Research

Pages: 96

Report ID: 19340

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.
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 2018, 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 2019-2025.

This report focuses on the global Big Data in Manufacturing status, future forecast, growth opportunity, key market and key players. The study objectives are to present the Big Data in Manufacturing development in United States, Europe and China.

The key players covered in this study
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

Market segment by Regions/Countries, this report covers
United States
Europe
China
Japan
Southeast Asia
India
Central & South America

The study objectives of this report are:
To analyze global Big Data in Manufacturing status, future forecast, growth opportunity, key market and key players.
To present the Big Data in Manufacturing development in United States, Europe and China.
To strategically profile the key players and comprehensively analyze their development plan and strategies.
To define, describe and forecast the market by product type, market and key regions.

In this study, the years considered to estimate the market size of Big Data in Manufacturing are as follows:
History Year: 2014-2018
Base Year: 2018
Estimated Year: 2019
Forecast Year 2019 to 2025
For the data information by region, company, type and application, 2018 is considered as the base year. Whenever data information was unavailable for the base year, the prior year has been considered.

Table of Contents

1 Report Overview
1.1 Study Scope
1.2 Key Market Segments
1.3 Players Covered
1.4 Market Analysis by Type
1.4.1 Global Big Data in Manufacturing Market Size Growth Rate by Type (2014-2025)
1.4.2 Discrete Manufacturing
1.4.3 Process Manufacturing
1.4.4 Mixed-Mode Manufacturing
1.5 Market by Application
1.5.1 Global Big Data in Manufacturing Market Share by Application (2014-2025)
1.5.2 Predictive Maintenance
1.5.3 Budget Monitoring
1.5.4 Product Lifecycle Management
1.5.5 Field Activity Management
1.5.6 Others
1.6 Study Objectives
1.7 Years Considered

2 Global Growth Trends
2.1 Big Data in Manufacturing Market Size
2.2 Big Data in Manufacturing Growth Trends by Regions
2.2.1 Big Data in Manufacturing Market Size by Regions (2014-2025)
2.2.2 Big Data in Manufacturing Market Share by Regions (2014-2019)
2.3 Industry Trends
2.3.1 Market Top Trends
2.3.2 Market Drivers
2.3.3 Market Opportunities

3 Market Share by Key Players
3.1 Big Data in Manufacturing Market Size by Manufacturers
3.1.1 Global Big Data in Manufacturing Revenue by Manufacturers (2014-2019)
3.1.2 Global Big Data in Manufacturing Revenue Market Share by Manufacturers (2014-2019)
3.1.3 Global Big Data in Manufacturing Market Concentration Ratio (CR5 and HHI)
3.2 Big Data in Manufacturing Key Players Head office and Area Served
3.3 Key Players Big Data in Manufacturing Product/Solution/Service
3.4 Date of Enter into Big Data in Manufacturing Market
3.5 Mergers & Acquisitions, Expansion Plans

4 Breakdown Data by Type and Application
4.1 Global Big Data in Manufacturing Market Size by Type (2014-2019)
4.2 Global Big Data in Manufacturing Market Size by Application (2014-2019)

5 United States
5.1 United States Big Data in Manufacturing Market Size (2014-2019)
5.2 Big Data in Manufacturing Key Players in United States
5.3 United States Big Data in Manufacturing Market Size by Type
5.4 United States Big Data in Manufacturing Market Size by Application

6 Europe
6.1 Europe Big Data in Manufacturing Market Size (2014-2019)
6.2 Big Data in Manufacturing Key Players in Europe
6.3 Europe Big Data in Manufacturing Market Size by Type
6.4 Europe Big Data in Manufacturing Market Size by Application

7 China
7.1 China Big Data in Manufacturing Market Size (2014-2019)
7.2 Big Data in Manufacturing Key Players in China
7.3 China Big Data in Manufacturing Market Size by Type
7.4 China Big Data in Manufacturing Market Size by Application

8 Japan
8.1 Japan Big Data in Manufacturing Market Size (2014-2019)
8.2 Big Data in Manufacturing Key Players in Japan
8.3 Japan Big Data in Manufacturing Market Size by Type
8.4 Japan Big Data in Manufacturing Market Size by Application

9 Southeast Asia
9.1 Southeast Asia Big Data in Manufacturing Market Size (2014-2019)
9.2 Big Data in Manufacturing Key Players in Southeast Asia
9.3 Southeast Asia Big Data in Manufacturing Market Size by Type
9.4 Southeast Asia Big Data in Manufacturing Market Size by Application

10 India
10.1 India Big Data in Manufacturing Market Size (2014-2019)
10.2 Big Data in Manufacturing Key Players in India
10.3 India Big Data in Manufacturing Market Size by Type
10.4 India Big Data in Manufacturing Market Size by Application

11 Central & South America
11.1 Central & South America Big Data in Manufacturing Market Size (2014-2019)
11.2 Big Data in Manufacturing Key Players in Central & South America
11.3 Central & South America Big Data in Manufacturing Market Size by Type
11.4 Central & South America Big Data in Manufacturing Market Size by Application

12 International Players Profiles
12.1 EMC
12.1.1 EMC Company Details
12.1.2 Company Description and Business Overview
12.1.3 Big Data in Manufacturing Introduction
12.1.4 EMC Revenue in Big Data in Manufacturing Business (2014-2019)
12.1.5 EMC Recent Development
12.2 HP
12.2.1 HP Company Details
12.2.2 Company Description and Business Overview
12.2.3 Big Data in Manufacturing Introduction
12.2.4 HP Revenue in Big Data in Manufacturing Business (2014-2019)
12.2.5 HP Recent Development
12.3 IBM
12.3.1 IBM Company Details
12.3.2 Company Description and Business Overview
12.3.3 Big Data in Manufacturing Introduction
12.3.4 IBM Revenue in Big Data in Manufacturing Business (2014-2019)
12.3.5 IBM Recent Development
12.4 Oracle
12.4.1 Oracle Company Details
12.4.2 Company Description and Business Overview
12.4.3 Big Data in Manufacturing Introduction
12.4.4 Oracle Revenue in Big Data in Manufacturing Business (2014-2019)
12.4.5 Oracle Recent Development

13 Market Forecast 2019-2025
13.1 Market Size Forecast by Regions
13.2 United States
13.3 Europe
13.4 China
13.5 Japan
13.6 Southeast Asia
13.7 India
13.8 Central & South America
13.9 Market Size Forecast by Product (2019-2025)
13.10 Market Size Forecast by Application (2019-2025)

14 Analyst's Viewpoints/Conclusions

15 Appendix
15.1 Research Methodology
15.1.1 Methodology/Research Approach
15.1.1.1 Research Programs/Design
15.1.1.2 Market Size Estimation
12.1.1.3 Market Breakdown and Data Triangulation
15.1.2 Data Source
15.1.2.1 Secondary Sources
15.1.2.2 Primary Sources
15.2 Disclaimer
15.3 Author Details