The global big data analytics in manufacturing market is anticipated to grow at a considerable CAGR of 14.0% during the forecast period. With the high rate of adoption of sensors and connected devices, there has been a massive increase in the data points generated in the manufacturing industry. With this surge in data availability, there is a higher demand for big data analytics in the manufacturing sector. In addition, big data propels predictive analytics, which manufacturers use to drive predictive maintenance. This enables manufacturers to prevent expensive asset breakdowns and dodge unexpected downtime. Hence, with the advent of numerous features, the demand for big data analytics is projected to grow in the forthcoming years.
Browse the full report description of “Big Data Analytics in Manufacturing Market Size, Share & Trends Analysis Report by Offering (Solutions, and Services), by Deployment (Cloud, On-Premise, and Hybrid), and by Application (Predictive Quality, Anomaly Detection, Supply Chain Management, Production Forecasting, and Others) Forecast Period (2023-2029)” at https://www.omrglobal.com/industry-reports/big-data-analytics-in-manufacturing-market
Moreover, the companies are collaborating and adopting partnership strategies to drive productivity, develop new customer experiences, and remain competitive in the marketplace. For instance, in June 2022, Renault Group and Atos launched ID@scale, a unique service to collect large-scale manufacturing data and accelerate Industry 4.0. with this collaboration, the company develops and commercializes a unique technology solution that collects and analyzes manufacturing data on a large scale. By deploying ID@S, manufacturers collect data from a wide range of manufacturing facilities includes, including diverse suppliers, generations, global locations, and firmware updates, in a standardized and effective way.
Furthermore, in March 2022, Intellegens partnered with Zizo, to provide Intellegens advanced. It is deep learning technologies that accelerate innovation across a wide range of sectors, from materials and chemicals to manufacturing and beyond. Intellegens enables businesses to extract value from real-world, sparse, noisy experimental and process data, where conventional machine learning methods often fail.
Market Coverage
• The market number available for – 2023-2029
• Base year- 2022
• Forecast period- 2023-2029
• Segment Covered-
o By Offering
o By Deployment
o By Application
• Regions Covered-
o North America
o Europe
o Asia-Pacific
o Rest of the World
• Competitive Landscape- including ABB, Emerson Electric, Google, Wipro, and others.
Key questions addressed by the report
• What is the market growth rate?
• Which segment and region dominate the market in the base year?
• Which segment and region will project the fastest growth in the market?
• Who is the leader in the market?
• How players are addressing challenges to sustain growth?
• Where is the investment opportunity?
Global Big Data Analytics in Manufacturing Market Report Segment
By Offering
By Deployment
By Application
Global Big Data Analytics in Manufacturing Market Report Segment by Region
North America
• United States
• Canada
Europe
• UK
• Germany
• Italy
• Spain
• France
• Rest of Europe
Asia-Pacific
• China
• India
• Japan
• South Korea
• Rest of Asia-Pacific
Rest of the World
• Latin America
• Middle East & Africa
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