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Global Big Data in Manufacturing Market Research Report 2024
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 was valued at US$ million in 2023 and is anticipated to reach US$ million by 2030, witnessing a CAGR of % during the forecast period 2024-2030.
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.
This report aims to provide a comprehensive presentation of the global market for Big Data in Manufacturing, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Big Data in Manufacturing.
Report Scope
The Big Data in Manufacturing market size, estimations, and forecasts are provided in terms of revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global Big Data in Manufacturing market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the Big Data in Manufacturing companies, new entrants, and industry chain related companies in this market with information on the revenues, sales volume, and average price for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
Market Segmentation
By Company
EMC
HP
IBM
Oracle
Segment by Type
Discrete Manufacturing
Process Manufacturing
Mixed-Mode Manufacturing
Segment by Application
Predictive Maintenance
Budget Monitoring
Product Lifecycle Management
Field Activity Management
Others
By Region
North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by Application, etc), including the market size of each market segment, future development potential, and so on. 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 2: Introduces executive summary of global market size, regional market size, 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 3: Detailed analysis of Big Data in Manufacturing companies’ competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: 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 5: 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 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 11: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.
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 was valued at US$ million in 2023 and is anticipated to reach US$ million by 2030, witnessing a CAGR of % during the forecast period 2024-2030.
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.
This report aims to provide a comprehensive presentation of the global market for Big Data in Manufacturing, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Big Data in Manufacturing.
Report Scope
The Big Data in Manufacturing market size, estimations, and forecasts are provided in terms of revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global Big Data in Manufacturing market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the Big Data in Manufacturing companies, new entrants, and industry chain related companies in this market with information on the revenues, sales volume, and average price for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
Market Segmentation
By Company
EMC
HP
IBM
Oracle
Segment by Type
Discrete Manufacturing
Process Manufacturing
Mixed-Mode Manufacturing
Segment by Application
Predictive Maintenance
Budget Monitoring
Product Lifecycle Management
Field Activity Management
Others
By Region
North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by Application, etc), including the market size of each market segment, future development potential, and so on. 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 2: Introduces executive summary of global market size, regional market size, 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 3: Detailed analysis of Big Data in Manufacturing companies’ competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: 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 5: 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 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 11: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.
Index1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Big Data in Manufacturing Market Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 Discrete Manufacturing
1.2.3 Process Manufacturing
1.2.4 Mixed-Mode Manufacturing
1.3 Market by Application
1.3.1 Global Big Data in Manufacturing Market Growth by Application: 2019 VS 2023 VS 2030
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 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Big Data in Manufacturing Market Perspective (2019-2030)
2.2 Big Data in Manufacturing Growth Trends by Region
2.2.1 Global Big Data in Manufacturing Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 Big Data in Manufacturing Historic Market Size by Region (2019-2024)
2.2.3 Big Data in Manufacturing Forecasted Market Size by Region (2025-2030)
2.3 Big Data in Manufacturing Market Dynamics
2.3.1 Big Data in Manufacturing Industry Trends
2.3.2 Big Data in Manufacturing Market Drivers
2.3.3 Big Data in Manufacturing Market Challenges
2.3.4 Big Data in Manufacturing Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Big Data in Manufacturing Players by Revenue
3.1.1 Global Top Big Data in Manufacturing Players by Revenue (2019-2024)
3.1.2 Global Big Data in Manufacturing Revenue Market Share by Players (2019-2024)
3.2 Global Big Data in Manufacturing Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Big Data in Manufacturing Revenue
3.4 Global Big Data in Manufacturing Market Concentration Ratio
3.4.1 Global Big Data in Manufacturing Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Big Data in Manufacturing Revenue in 2023
3.5 Big Data in Manufacturing Key Players Head office and Area Served
3.6 Key Players Big Data in Manufacturing Product Solution and Service
3.7 Date of Enter into Big Data in Manufacturing Market
3.8 Mergers & Acquisitions, Expansion Plans
4 Big Data in Manufacturing Breakdown Data by Type
4.1 Global Big Data in Manufacturing Historic Market Size by Type (2019-2024)
4.2 Global Big Data in Manufacturing Forecasted Market Size by Type (2025-2030)
5 Big Data in Manufacturing Breakdown Data by Application
5.1 Global Big Data in Manufacturing Historic Market Size by Application (2019-2024)
5.2 Global Big Data in Manufacturing Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America Big Data in Manufacturing Market Size (2019-2030)
6.2 North America Big Data in Manufacturing Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America Big Data in Manufacturing Market Size by Country (2019-2024)
6.4 North America Big Data in Manufacturing Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Big Data in Manufacturing Market Size (2019-2030)
7.2 Europe Big Data in Manufacturing Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe Big Data in Manufacturing Market Size by Country (2019-2024)
7.4 Europe Big Data in Manufacturing Market Size by Country (2025-2030)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific Big Data in Manufacturing Market Size (2019-2030)
8.2 Asia-Pacific Big Data in Manufacturing Market Growth Rate by Region: 2019 VS 2023 VS 2030
8.3 Asia-Pacific Big Data in Manufacturing Market Size by Region (2019-2024)
8.4 Asia-Pacific Big Data in Manufacturing Market Size by Region (2025-2030)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America Big Data in Manufacturing Market Size (2019-2030)
9.2 Latin America Big Data in Manufacturing Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America Big Data in Manufacturing Market Size by Country (2019-2024)
9.4 Latin America Big Data in Manufacturing Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Big Data in Manufacturing Market Size (2019-2030)
10.2 Middle East & Africa Big Data in Manufacturing Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa Big Data in Manufacturing Market Size by Country (2019-2024)
10.4 Middle East & Africa Big Data in Manufacturing Market Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 EMC
11.1.1 EMC Company Detail
11.1.2 EMC Business Overview
11.1.3 EMC Big Data in Manufacturing Introduction
11.1.4 EMC Revenue in Big Data in Manufacturing Business (2019-2024)
11.1.5 EMC Recent Development
11.2 HP
11.2.1 HP Company Detail
11.2.2 HP Business Overview
11.2.3 HP Big Data in Manufacturing Introduction
11.2.4 HP Revenue in Big Data in Manufacturing Business (2019-2024)
11.2.5 HP Recent Development
11.3 IBM
11.3.1 IBM Company Detail
11.3.2 IBM Business Overview
11.3.3 IBM Big Data in Manufacturing Introduction
11.3.4 IBM Revenue in Big Data in Manufacturing Business (2019-2024)
11.3.5 IBM Recent Development
11.4 Oracle
11.4.1 Oracle Company Detail
11.4.2 Oracle Business Overview
11.4.3 Oracle Big Data in Manufacturing Introduction
11.4.4 Oracle Revenue in Big Data in Manufacturing Business (2019-2024)
11.4.5 Oracle Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.2 Data Source
13.2 Disclaimer
13.3 Author Details
Published By : QY Research
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