Global Big Data In Manufacturing Industry Market

Big Data In Manufacturing Industry Market Size, Share, Growth Analysis, By Offering(Solutions, Services), By Deployment mode(On-Premise, Cloud, Hybrid), By Application(Customer Analytics, Operational Analytics, Quality Assessment, Supply Chain Management), By Region - Industry Forecast 2025-2032


Report ID: SQMIG45A2187 | Region: Global | Published Date: October, 2024
Pages: 264 | Tables: 90 | Figures: 76

Big Data In Manufacturing Industry Market Regional Insights

As per the big data in manufacturing industry market outlook, North America is estimated to contribute 45% to the growth of the market during the forecast period. One of the main factors that are significantly contributing to the growth of the market in North America is that the region is a significant hub for manufacturing innovation and technology adoption. Several manufacturers in North America are encouraging digital transformation to remain competitive. Additionally, big data analytics play a crucial role in the modernization of operations, optimizing supply chains, and enhancing overall efficiency. Furthermore, there is a significant generation of data by several manufacturing processes in North America from various sources including IoT sensors, machinery, production lines, and other sources.  

Asia Pacific region is anticipated to grow in terms of CAGR during the forecast period. Many regulatory bodies of the Asia Pacific countries are taking initiatives to deploy advanced technology solutions in the industry. In India, manufacturing has emerged as a high growth sector and is expected to support in growth of the country in the coming years. This growth of the industry in India is likely due to the rising focus of government towards the manufacturing sector along with increasing investments in manufacturing. For instance, the Make in India program initiated by the government of India as well as strategic partnerships are expected to increase the development of the manufacturing sector soon. Furthermore, in China, “Made in China 2025” initiative is anticipated to boost the development of the Chinese manufacturing sector in the coming years.

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Big Data in Manufacturing Industry Market size was valued at around USD 5.1 billion in 2022 and is expected to rise from USD 5.8 billion in 2023 to reach a value of USD 14.8 billion by 2031, at a CAGR of 12.5% over the forecast period (2024–2031).

Big data in manufacturing industry is characterized by established technology giants, innovative startups and specialist analytics providers. These players are leveraging advanced analytics, artificial intelligence, and IoT integrations to offer tailored solutions for manufacturers. Competition in the marketplace to solve business challenges and increase operational efficiency is driven by strategic communication, acquisitions and innovation. 'IBM Corporation ', 'Intel Corporation ', 'Microsoft Corporation ', 'Oracle Corporation ', 'SAP SE ', 'Cisco Systems, Inc. ', 'Hewlett Packard Enterprise ', 'Siemens AG ', 'Dell Technologies ', 'Hitachi, Ltd. ', 'Fujitsu Limited ', 'PTC, Inc. ', 'Teradata Corporation ', 'Cloudera, Inc. ', 'Alteryx, Inc. ', 'Splunk Inc. ', 'RapidMiner, Inc. ', 'TIBCO Software Inc. ', 'Accenture Plc ', 'SAS Institute, Inc.'

With the rising adoption of interconnected environment, supply chain management in manufacturing operations is becoming more complex and time-consuming. To optimize the supply chain and streamline its operations, there is a need to examine the process at a granular level. Big data technology provides manufacturers the ability to track, trace, analyze, and streamline the entire supply chain process. Furthermore, the supply chain can be considered more vital for the manufacturers than the production process, as it can result in losses due to inefficiencies in the operations. Big data support manufacturers in understanding the processes and errors associated with it to complete a task or operation.

IoT Integration and Predictive Maintenance Solutions: The integration of the Internet of Things (IoT) into big data analytics is reshaping manufacturing. IoT devices provide a wealth of real-time data from devices, sensors and processes, which can be analyzed to provide insights that can be used to improve efficiency and reduce downtime. IoT and big data this hybrid enables developers to achieve unprecedented business intelligence. Another key trend is the adoption of predictive maintenance solutions using big data.  

As per the big data in manufacturing industry market outlook, North America is estimated to contribute 45% to the growth of the market during the forecast period. One of the main factors that are significantly contributing to the growth of the market in North America is that the region is a significant hub for manufacturing innovation and technology adoption. Several manufacturers in North America are encouraging digital transformation to remain competitive. Additionally, big data analytics play a crucial role in the modernization of operations, optimizing supply chains, and enhancing overall efficiency. Furthermore, there is a significant generation of data by several manufacturing processes in North America from various sources including IoT sensors, machinery, production lines, and other sources.  

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Global Big Data In Manufacturing Industry Market

Report ID: SQMIG45A2187

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