What is the global market size of Big Data In Manufacturing Industry Market?

Global big data in manufacturing industry market was valued at USD 276.3 billion in 2021, and it is expected to reach a value of USD 509.3 billion by 2028, at a CAGR of 12.45% over the forecast period (2022-2028). Read More

Who are the key vendors in the Global Big Data In Manufacturing Industry Market?

Global big data in manufacturing industry market is has some major and medium size enterprises, with a high level of competition. Companies are working on new product launches and other initiatives to provide better equipment to their customers and expand their companies globally. These industry leaders are expanding their client base in a variety of ways, and many organizations are forming strategic and creative partnerships with other start-up businesses to increase market share and profitability.'Oracle Corporation (US)','SAP SE (Germany)','Emerson Electric (US)','SAS Institute (US)','Tableau Software (US)','ABB (Switzerland)','Rockwell (US)','Zensar Technologies Limited (India)','IBM (US)' Read More

What is the key driver of Global Big Data In Manufacturing Industry Market?

Increased internet usage, such as the increasing popularity of social media and the advent of virtual online offices, could boost the market growth. The World Wide Web is widely used because of the numerous benefits it provides, such as boundless communication, easy sharing, plentiful resources and information, and online services that generate massive amounts of data in daily life. Other reasons contributing to the rise of the big data business include increased organizational awareness of IoT devices, increased demand for cloud big data technologies, increased demand for big data tools, increased government investments to advance digital technologies, and increased data accessibility across organizations for getting deeper insights and remaining competitive. Read More

What is the key market trend for Global Big Data In Manufacturing Industry Market?

The market for manufacturing analytics has been exposed to various competitions and energy and raw material supply challenges. The operational expenses are also included. As a result, they are searching for methods to cut costs and create businesses that can quickly and efficiently deliver the appropriate level of quality to customers. Along with advancements and improvements in the automation and connectivity fields, the application of smart industrial solutions is expanding significantly. Read More

Which region accounted for the largest share in Global Big Data In Manufacturing Industry Market?

In 2021, Asia Pacific held the largest global big data in manufacturing industry market share. The manufacturing industry in the Asia-Pacific is undergoing a shift as smart manufacturing gains traction in local corporate operations. This is especially true for nations like China, India, South Korea, and Japan, which serve as the primary manufacturing centers in the area and are therefore major big data analytics adopters. Read More

Big Data In Manufacturing Industry Companies

Big Data In Manufacturing Industry Market Competitive Landscape

Big Data in Manufacturing Industry Top Player's Company Profiles

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.

Big Data in Manufacturing Industry

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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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

Big Data In Manufacturing Industry Market Competitive Landscape

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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

Big Data In Manufacturing Industry Market Competitive Landscape

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What is the global market size of Big Data In Manufacturing Industry Market?

Who are the key vendors in the Big Data In Manufacturing Industry Market?

What is the key driver of Big Data In Manufacturing Industry Market?

What is the key market trend for Big Data In Manufacturing Industry Market?

Which region accounted for the largest share in Big Data In Manufacturing Industry Market?

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