Report overview
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.
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. This report contains market size and forecasts of Big Data in Manufacturing in global, including the following market information:
Global Big Data in Manufacturing Market Revenue, 2018-2023, 2024-2032, ($ millions)
Global top five companies in 2022 (%)
The global Big Data in Manufacturing market was valued at US$ million in 2022 and is projected to reach US$ million by 2029, at a CAGR of % during the forecast period. The influence of COVID-19 and the Russia-Ukraine War were considered while estimating market sizes.
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.
MARKET MONITOR GLOBAL, INC (MMG) has surveyed the Big Data in Manufacturing companies, and industry experts on this industry, involving the revenue, demand, product type, recent developments and plans, industry trends, drivers, challenges, obstacles, and potential risks.
Total Market by Segment:
Global Big Data in Manufacturing Market, by Type, 2018-2023, 2024-2032 ($ millions)
Global Big Data in Manufacturing Market Segment Percentages, by Type, 2022 (%)
Discrete Manufacturing
Process Manufacturing
Mixed-Mode Manufacturing
Global Big Data in Manufacturing Market, by Application, 2018-2023, 2024-2032 ($ millions)
Global Big Data in Manufacturing Market Segment Percentages, by Application, 2022 (%)
Predictive Maintenance
Budget Monitoring
Product Lifecycle Management
Field Activity Management
Others
Global Big Data in Manufacturing Market, By Region and Country, 2018-2023, 2024-2032 ($ Millions)
Global Big Data in Manufacturing Market Segment Percentages, By Region and Country, 2022 (%)
North America
US
Canada
Mexico
Europe
Germany
France
U.K.
Italy
Russia
Nordic Countries
Benelux
Rest of Europe
Asia
China
Japan
South Korea
Southeast Asia
India
Rest of Asia
South America
Brazil
Argentina
Rest of South America
Middle East & Africa
Turkey
Israel
Saudi Arabia
UAE
Rest of Middle East & Africa
Competitor Analysis
The report also provides analysis of leading market participants including:
Key companies Big Data in Manufacturing revenues in global market, 2018-2023 (estimated), ($ millions)
Key companies Big Data in Manufacturing revenues share in global market, 2022 (%)
Further, the report presents profiles of competitors in the market, key players include:
EMC
HP
IBM
Oracle
Outline of Major Chapters:
Chapter 1: Introduces the definition of Big Data in Manufacturing, market overview.
Chapter 2: Global Big Data in Manufacturing market size in revenue.
Chapter 3: Detailed analysis of Big Data in Manufacturing company competitive landscape, revenue and 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: Sales of Big Data in Manufacturing in regional level and country level. 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 of each country in the world.
Chapter 7: 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 8: The main points and conclusions of the report.
