Global Big Data in Manufacturing Market Growth (Status and Outlook) 2023-2029

Global Big Data in Manufacturing Market Growth (Status and Outlook) 2023-2029

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.

LPI (LP Information)' newest research report, the “Big Data in Manufacturing Industry Forecast” looks at past sales and reviews total world Big Data in Manufacturing sales in 2022, providing a comprehensive analysis by region and market sector of projected Big Data in Manufacturing sales for 2023 through 2029. With Big Data in Manufacturing sales broken down by region, market sector and sub-sector, this report provides a detailed analysis in US$ millions of the world Big Data in Manufacturing industry.

This Insight Report provides a comprehensive analysis of the global Big Data in Manufacturing landscape and highlights key trends related to product segmentation, company formation, revenue, and market share, latest development, and M&A activity. This report also analyzes the strategies of leading global companies with a focus on Big Data in Manufacturing portfolios and capabilities, market entry strategies, market positions, and geographic footprints, to better understand these firms’ unique position in an accelerating global Big Data in Manufacturing market.

This Insight Report evaluates the key market trends, drivers, and affecting factors shaping the global outlook for Big Data in Manufacturing and breaks down the forecast by type, by application, geography, and market size to highlight emerging pockets of opportunity. With a transparent methodology based on hundreds of bottom-up qualitative and quantitative market inputs, this study forecast offers a highly nuanced view of the current state and future trajectory in the global Big Data in Manufacturing.

The global Big Data in Manufacturing market size is projected to grow from US$ million in 2022 to US$ million in 2029; it is expected to grow at a CAGR of % from 2023 to 2029.

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 presents a comprehensive overview, market shares, and growth opportunities of Big Data in Manufacturing market by product type, application, key players and key regions and countries.

Market Segmentation:

Segmentation by type
Discrete Manufacturing
Process Manufacturing
Mixed-Mode Manufacturing

Segmentation by application
Predictive Maintenance
Budget Monitoring
Product Lifecycle Management
Field Activity Management
Others

This report also splits the market by region:
Americas
United States
Canada
Mexico
Brazil
APAC
China
Japan
Korea
Southeast Asia
India
Australia
Europe
Germany
France
UK
Italy
Russia
Middle East & Africa
Egypt
South Africa
Israel
Turkey
GCC Countries

The below companies that are profiled have been selected based on inputs gathered from primary experts and analyzing the company's coverage, product portfolio, its market penetration.
EMC
HP
IBM
Oracle

Please note: The report will take approximately 2 business days to prepare and deliver.