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 Insights

Big Data In Manufacturing Industry Market size was valued at USD 5.8 Billion in 2023 and is poised to grow from USD 6.53 Billion in 2024 to USD 16.65 Billion by 2032, growing at a CAGR of 12.5% during the forecast period (2025-2032).

Big data analytics software helps to analyze risk patterns, maintain workflows, improve the quality of the processes, production, and others. Big data solutions analyze, collect, and monitor a large volume of unstructured and structured data generated from a variety of sources such as production unit, product quality, factory floor, etc. Big data technology helps to uncover newer trends and patterns and provides actionable insights to businesses. Furthermore, big data is becoming one of the important elements in the manufacturing industry, as it is playing a major role in the fourth generation of enterprise resource planning (ERP) systems. ERP technology is supporting to transform outdated manufacturing facilities into highly automated and efficient powerhouses. Big data technology is set to create a new era for manufacturing as it possesses the ability to engage the process, data, and people. Rising technological advancements are expected to augur well for the big data in manufacturing industry.  

The global big data in manufacturing industry market revenue is expected to grow significantly over the forecast period due to increasing application of big data analytics in manufacturing industry for demand forecasting. Growing demand for solutions to optimize assets is projected to further propel global big data analytics in manufacturing market growth during the forecast period. Besides, rising need for solutions to reduce downtime is expected to augment growth of the global big data in manufacturing industry market in the near future. Furthermore, increasing demand for faster integration of automation is expected to boost global big data in manufacturing industry market growth over the forecast period. 

In the manufacturing industry, data is being collected from the traditional maintenance survey-based process or with the help of advanced technology devices such as sensors, RFID, etc. This collected data helps to track resources and analyze the generated data (such as captured machine readings, supply chain management, etc.) through sensors and other devices. Moreover, big data is helping the manufacturing industry to attain full automation of the operations. Further, in the expansion of the internet of things and advancement in connectivity technologies, big data is offering an opportunity for a new breed of intelligent manufacturing technology.

US Big Data In Manufacturing Industry is poised to grow at a sustainable CAGR for the next forecast year.

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FAQs

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

$5,300
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