The Market Reports

Synopsis
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.
The global Big Data in Manufacturing market size is expected to reach US$ million by 2029, growing at a CAGR of % from 2023 to 2029. The market is mainly driven by the significant applications of Big Data in Manufacturing in various end use industries. The expanding demands from the Predictive Maintenance, Budget Monitoring, Product Lifecycle Management and Field Activity Management, are propelling Big Data in Manufacturing market. Discrete Manufacturing, one of the segments analysed in this report, is projected to record % CAGR and reach US$ million by the end of the analysis period. Growth in the Process Manufacturing segment is estimated at % CAGR for the next seven-year period.
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.
Report Objectives
This report provides market insight on the different segments, by players, by Type, by Application. Market size and forecast (2018-2029) has been provided in the report. The primary objectives of this report are to provide 1) global market size and forecasts, growth rates, market dynamics, industry structure and developments, market situation, trends; 2) global market share and ranking by company; 3) comprehensive presentation of the global market for Big Data in Manufacturing, with both quantitative and qualitative analysis through detailed segmentation; 4) detailed value chain analysis and review of growth factors essential for the existing market players and new entrants; 5) emerging opportunities in the market and the future impact of major drivers and restraints of the market.
Key Features of The Study:
This report provides in-depth analysis of the global Big Data in Manufacturing market, and provides market size (US$ million) and CAGR for the forecast period (2023-2029), considering 2022 as the base year.
This report profiles key players in the global Big Data in Manufacturing market based on the following parameters - company details (found date, headquarters, manufacturing bases), products portfolio, Big Data in Manufacturing sales data, market share and ranking.
This report elucidates potential market opportunities across different segments and explains attractive investment proposition matrices for this market.
This report illustrates key insights about market drivers, restraints, opportunities, market trends, regional outlook.
Key companies of Big Data in Manufacturing covered in this report include EMC, HP, IBM and Oracle, etc.
The global Big Data in Manufacturing market report caters to various stakeholders in this industry including investors, suppliers, product players, distributors, new entrants, and financial analysts.
Market Segmentation
Company Profiles:
EMC
HP
IBM
Oracle
Global Big Data in Manufacturing market, by region:
North America (U.S., Canada, Mexico)
Europe (Germany, France, UK, Italy, etc.)
Asia Pacific (China, Japan, South Korea, Southeast Asia, India, etc.)
South America (Brazil, etc.)
Middle East and Africa (Turkey, GCC Countries, Africa, etc.)
Global Big Data in Manufacturing market, Segment by Type:
Discrete Manufacturing
Process Manufacturing
Mixed-Mode Manufacturing
Global Big Data in Manufacturing market, by Application
Predictive Maintenance
Budget Monitoring
Product Lifecycle Management
Field Activity Management
Others
Core Chapters
Chapter One: Introduces the report scope of the report, executive summary of global and regional market size and CAGR for the history and forecast period (2018-2023, 2024-2029). It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter Two: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter Three: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter Four: Detailed analysis of Big Data in Manufacturing companies’ competitive landscape, revenue, market share and ranking, latest development plan, merger, and acquisition information, etc.
Chapter Five: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product introduction, revenue, recent development, etc.
Chapter Six, Seven, Eight, Nine and Ten: North America, Europe, Asia Pacific, Latin America, Middle East & Africa, revenue by country.
Chapter Eleven: this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter Twelve: Research Finding/Conclusion

Index