Press release
Global Big Data in Manufacturing Market Leveraging Data for Operational Excellence | EMC, HP, IBM
The Market for Big Data in Manufacturing is anticipated to reach USD 4617.78 billion by 2030, expanding at a CAGR of 26.7% between 2023 and 2030. Manufacturing organisations are increasingly adopting big data technology, and there is a growing desire to increase operational effectiveness and productivity. The use of sizable datasets to enhance manufacturing procedures is known as "big data in manufacturing." This can involve utilising data to lower costs, enhance quality assurance, and optimise production schedules.
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The Key companies profiled in the Big Data in Manufacturing Market:
The study examines the Big Data in Manufacturing Market's competitive landscape and includes data on EMC, HP, IBM, Oracle & Others.
Global Big Data in Manufacturing Market Split by Product Type and Applications
This report segments the Big Data in Manufacturing Market on the basis of Types:
Discrete Manufacturing
Process Manufacturing
Mixed-Mode Manufacturing
On the basis of Application, the Big Data in Manufacturing Market is segmented into:
Predictive Maintenance
Budget Monitoring
Product Lifecycle Management
Field Activity Management
Others
Large amounts of data are being produced by manufacturing companies from a variety of sources, including sensors, machinery, production lines, supply networks, and consumer interactions. These businesses can improve decision-making, quality control, predictive maintenance, supply chain optimisation, and product innovation by using big data analytics to derive useful insights from this data. The adoption of Industry 4.0 and smart manufacturing initiatives, the necessity for real-time monitoring and control, and the increased demand for data-driven manufacturing process optimization are some of the reasons driving the market expansion. The adoption of Big Data analytics is also accelerated by the incorporation of cutting-edge technologies like Internet of Things (IoT), artificial intelligence (AI), machine learning (ML), and cloud computing in manufacturing contexts.
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When it comes to regional analysis, North America dominates the market for big data in manufacturing thanks to its developed IT infrastructure, sizable manufacturing sector, and early adoption of data analytics. With an emphasis on Industry 4.0 and digital transformation, Europe is another significant market. The adoption of smart manufacturing initiatives and rising industrial activity in emerging economies are the main drivers of the region's rapid growth in Asia and the Pacific.
Key Features Included in the Offering and Highlights of the Big Data in Manufacturing Market Reports:
1. Data Integration and Management: Big data solutions in manufacturing facilitate the integration and management of diverse data sources, including structured and unstructured data. These solutions can handle data from various systems, such as enterprise resource planning (ERP), product lifecycle management (PLM), supply chain management (SCM), sensor data, and customer data.
2. Data Analytics and Insights: Big data solutions offer advanced analytics capabilities to process and analyse massive volumes of data. Manufacturers can uncover patterns, correlations, and trends in their data, enabling them to make data-driven decisions, optimize processes, identify quality issues, predict maintenance needs, and improve overall operational efficiency.
3. Real-time Data Processing: Real-time data processing is a crucial feature in manufacturing to enable timely decision-making. Big data solutions can ingest and analyse data streams from sensors, machines, and production lines in real-time, allowing manufacturers to respond quickly to events, detect anomalies, and optimize production processes in near real-time.
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Market Segmentation:
Big Data in manufacturing market is split by Type and by Application. For the period 2018-2029, the growth among segments provides accurate calculations and forecasts for consumption value by Type, and by Application in terms of volume and value. This analysis can help you expand your business by targeting qualified niche markets.
It is clear how the Big Data in Manufacturing market has benefited the software and service industry. First and foremost, it gives manufacturers the ability to use data-driven insights for process optimisation, quality control, and predictive maintenance, leading to better operational efficiency, lower costs, and more productivity. In addition, the market offers chances for software developers and service providers to supply advanced analytics platforms, consulting services, and integration solutions, promoting innovation and value-added products.
Major Point of Table of Contents:
Chapter 1 Industry Overview
Chapter 2 Global Big Data in Manufacturing Competition by Types, Applications, and Top Regions and Countries
Chapter 3 Production Market Analysis
Chapter 4 Global Big Data in Manufacturing Sales, Consumption, Export, Import by Regions (2017-2022)
Chapter 5 North America Big Data in Manufacturing Market Analysis
Chapter 6 East Asia Big Data in Manufacturing Market Analysis
Chapter 7 Europe Big Data in Manufacturing Market Analysis
Chapter 8 South Asia Big Data in Manufacturing Market Analysis
Chapter 9 Southeast Asia Big Data in Manufacturing Market Analysis
Chapter 10 Middle East Big Data in Manufacturing Market Analysis
Chapter 11 Africa Big Data in Manufacturing Market Analysis
Chapter 12 Oceania Big Data in Manufacturing Market Analysis
Chapter 13 South America Big Data in Manufacturing Market Analysis
Chapter 14 Company Profiles and Key Figures in Big Data in Manufacturing Business
Chapter 15 Global Big Data in Manufacturing Market Forecast (2023-2028)
Chapter 16 Conclusions
Research Methodology...
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