USD 576.47 billion
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 ERP technology is supporting to transform outdated manufacturing facilities into highly automated and efficient powerhouses.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.
Market snapshot - 2024–2031
Global Market Size
Largest Segment
Solutions
Fastest Growth
Services
Growth Rate
26.7% CAGR
Global Big Data in Manufacturing Industry Market ($ Bn)
Country Share for North America Region (%)
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Big Data In Manufacturing Industry Market Segmental Analysis
Global Big Data in Manufacturing Industry Market is segmented by Offering, Deployment Mode, Application, and region. Based on Offering, the market is segmented into Solutions, and Services. Based on Deployment Mode, the market is segmented into On-premises, Cloud, and Hybrid. Based on Application the market is segmented into Customer Analytics, Operational Analytics, Quality Assessment, Supply Chain Management, Production Management, and Others. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & and Africa.
Big Data in Manufacturing Industry Analysis by Deployment Mode
The on-premises segment is dominating in big data in manufacturing industry market and seeing tremendous growth. These improvements are driven by improved data security, regulatory compliance and flexibility to tailor solutions to specific policy needs. Premises solutions provide unparalleled control over critical manufacturing data, ensuring it within the organization’s infrastructure. Industries such as aerospace, defense and pharma rely heavily on this sector to protect intellectual property and meet stringent regulations. Unlike cloud solutions, on-premises infrastructure mitigates external cyber threats, a priority for employees handling proprietary systems or sensitive manufacturing data.
The cloud segment is the fastest growing segment in the market. Rising adoption of cloud-based software solutions among the organizations is expected to create lucrative market opportunities for big data solution providers in the coming years. Cloud-based big data analytics in manufacturing operations also help to process and analyze the database to improve the production process and inventory management in the manufacturing industry. Cloud-based big data solutions help organizations gain an in-depth understanding of the improvements, trends, and preferences. This understanding is utilized for effective and efficient supply chain management and operational decisions based on analytical outputs.
Big Data in Manufacturing Industry Analysis by Offering
As per big data in manufacturing industry market analysis, the solutions segment is dominating with the highest CAGR in the coming year. Big data solution provides a platform to analyze the large volume of structured and unstructured data gathered from different sources such as IoT devices, sensors, social networks, and among others. Big data solutions support the manufacturing industry to improvise end-to-end supply chain visibility as well as accelerate information sharing and decision making with the help of cognitive technology. Moreover, predictive analytics is also used for more accurate requirements, forecasts, and reduce buffer inventory. Further, big data analytics in manufacturing help manufacturers to reduced labor-intensive workload, improve operational visibility and gain profound analytics by establishing a single source for all inventory data and reports.
The services segment is the fastest growing in the market. In addition, there is an increasing adoption of big data analytics by several manufacturers to predict equipment failures and maintenance needs, reducing downtime and minimizing costly unplanned repairs. Furthermore, the main advantage of using big data analytics is that it enables manufacturers to monitor and control product quality in real-time, minimizing defects, scrap, and rework, which can lead to substantial savings. Factors such as the increasing consumer expectations for product quality, customization, and delivery speed are fueling the adoption of big data services by manufacturers in order to meet these demands efficiently. Hence, such factors are expected to fuel the growth of this segment which, in turn, will drive the big data in manufacturing industry market growth during the forecast period.
Global Big Data in Manufacturing Industry Market By Offering (%)
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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.
Global Big Data in Manufacturing Industry Market By Geography
- Largest
- Fastest
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Big Data In Manufacturing Industry Market Dynamics
Big Data in Manufacturing Industry Driver
Optimizing Supply Chain Management and Production Process is likely to Drive Market
- 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.
Rising Adoption of Automation in Manufacturing Industry will Facilitate Market Growth
- The current industrial revolution aims to support industry to offer advanced platforms to improve existing procedures with an automated process. Owing to the rising adoption of automated services and government initiatives towards the deployment of advanced automation technologies in the manufacturing, thereby boosting the big data in manufacturing industry. These automated services are anticipated to create vast opportunities for the market. In addition to this, trending technologies such as machine-to-machine (M2M) communication, big data, IoT, and machine learning are collectively expected to drive unprecedented effectiveness, productivity, and performance levels in the manufacturing operations.
Restraints
Increased Processing Costs and Data Privacy Concerns
- One of the main challenges facing big data in manufacturing industry market is the high cost. Manufacturers need to invest in advanced hardware, advanced software solutions and skilled personnel to integrate and manage big data systems. This huge financial burden is particularly dangerous for small and medium-sized enterprises (SMEs), which often operate under restricted budgets, limiting the widespread use of big data technologies. Another important imperative is data growing privacy and security concerns.
Data Protection and Privacy Issues
- The vast amount of sensitive data generated in manufacturing, including proprietary systems, processes, and customer information, poses a high risk of data breaches. Cybersecurity challenges are heightened by the integration of IoT devices, which often have vulnerabilities that hackers can exploit. Manufacturers must invest heavily in robust security measures, which can add to the cost and complexity of big data implementation, thereby acting as a restraint for companies hesitant to embrace these technologies fully.
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Big Data In Manufacturing Industry Market Competitive Landscape
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.
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 Recent Developments
- In June 2024, Hitachi, Ltd. and Microsoft Corporation announced a projected multi-billion-dollar collaboration over the next three years, that will accelerate social innovation with generative AI.
- In July 2022, Oracle Corporation officially completed the acquisition of Cerner, a leading healthcare information systems provider. Cerner is one of the oldest companies in the development of electronic medical records, providing systems that handle data storage tasks for physician offices, clinics and hospitals.
- In June 2022, IBM announced it plans to be acquired Randori, an attack surface management (ASM) and offensive cybersecurity provider based in the Boston area.
Big Data In Manufacturing Industry Key Market Trends
- 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.
- Adoption of AI-Driven Analytics: Artificial Intelligence (AI) is becoming a keystone of big data applications in manufacturing. AI-driven analytics enable the identification of patterns and insights that traditional methods might overlook. Manufacturers are deploying machine learning algorithms to analyze data from production processes, ensuring quality control and enhancing decision-making capabilities. This trend extends to customer demand forecasting, where AI models process historical sales data and external factors like market trends to anticipate future demand accurately. As a result, companies can align their production schedules and inventory management to meet market needs more effectively.
Big Data In Manufacturing Industry Market SkyQuest Analysis
SkyQuest’s ABIRAW (Advanced Business Intelligence, Research & Analysis Wing) is our Business Information Services team that Collects, Collates, Correlates, and Analyses the Data collected by means of Primary Exploratory Research backed by robust Secondary Desk research.
According to SkyQuest analysis, big data in manufacturing industry is growing rapidly, driven by a combination of trends such as IoT and AI-powered analytics. These innovations allow manufacturers to streamline processes, improve predictive maintenance, and align production with market requirements. However, challenges such as high implementation costs and data security concerns pose significant barriers, especially for small businesses. Despite these limitations, the market is poised for significant growth, as companies increasingly recognize the value of data-driven insights to increase operational efficiency and maintain a competitive edge.
| Report Metric | Details |
|---|---|
| Market size value in Manufacturing | USD 5.1 billion |
| Market size value in 2031 | USD 14.8 billion |
| Growth Rate | 12.5% |
| Base year | 2023 |
| Forecast period | 2024–2031 |
| Forecast Unit (Value) | USD Billion |
| Segments covered |
|
| Regions covered | North America (US, Canada), Europe (Germany, France, United Kingdom, Italy, Spain, Rest of Europe), Asia Pacific (China, India, Japan, Rest of Asia-Pacific), Latin America (Brazil, Rest of Latin America), Middle East & Africa (South Africa, GCC Countries, Rest of MEA) |
| Companies covered |
|
| Customization scope | Free report customization with purchase. Customization includes:-
|
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Table Of Content
Executive Summary
Market overview
- Exhibit: Executive Summary – Chart on Market Overview
- Exhibit: Executive Summary – Data Table on Market Overview
- Exhibit: Executive Summary – Chart on Big Data In Manufacturing Industry Market Characteristics
- Exhibit: Executive Summary – Chart on Market by Geography
- Exhibit: Executive Summary – Chart on Market Segmentation
- Exhibit: Executive Summary – Chart on Incremental Growth
- Exhibit: Executive Summary – Data Table on Incremental Growth
- Exhibit: Executive Summary – Chart on Vendor Market Positioning
Parent Market Analysis
Market overview
Market size
- Market Dynamics
- Exhibit: Impact analysis of DROC, 2021
- Drivers
- Opportunities
- Restraints
- Challenges
- Exhibit: Impact analysis of DROC, 2021
- SWOT Analysis
KEY MARKET INSIGHTS
- Technology Analysis
- (Exhibit: Data Table: Name of technology and details)
- Pricing Analysis
- (Exhibit: Data Table: Name of technology and pricing details)
- Supply Chain Analysis
- (Exhibit: Detailed Supply Chain Presentation)
- Value Chain Analysis
- (Exhibit: Detailed Value Chain Presentation)
- Ecosystem Of the Market
- Exhibit: Parent Market Ecosystem Market Analysis
- Exhibit: Market Characteristics of Parent Market
- IP Analysis
- (Exhibit: Data Table: Name of product/technology, patents filed, inventor/company name, acquiring firm)
- Trade Analysis
- (Exhibit: Data Table: Import and Export data details)
- Startup Analysis
- (Exhibit: Data Table: Emerging startups details)
- Raw Material Analysis
- (Exhibit: Data Table: Mapping of key raw materials)
- Innovation Matrix
- (Exhibit: Positioning Matrix: Mapping of new and existing technologies)
- Pipeline product Analysis
- (Exhibit: Data Table: Name of companies and pipeline products, regional mapping)
- Macroeconomic Indicators
COVID IMPACT
- Introduction
- Impact On Economy—scenario Assessment
- Exhibit: Data on GDP - Year-over-year growth 2016-2022 (%)
- Revised Market Size
- Exhibit: Data Table on Big Data In Manufacturing Industry Market size and forecast 2021-2027 ($ million)
- Impact Of COVID On Key Segments
- Exhibit: Data Table on Segment Market size and forecast 2021-2027 ($ million)
- COVID Strategies By Company
- Exhibit: Analysis on key strategies adopted by companies
MARKET DYNAMICS & OUTLOOK
- Market Dynamics
- Exhibit: Impact analysis of DROC, 2021
- Drivers
- Opportunities
- Restraints
- Challenges
- Exhibit: Impact analysis of DROC, 2021
- Regulatory Landscape
- Exhibit: Data Table on regulation from different region
- SWOT Analysis
- Porters Analysis
- Competitive rivalry
- Exhibit: Competitive rivalry Impact of key factors, 2021
- Threat of substitute products
- Exhibit: Threat of Substitute Products Impact of key factors, 2021
- Bargaining power of buyers
- Exhibit: buyers bargaining power Impact of key factors, 2021
- Threat of new entrants
- Exhibit: Threat of new entrants Impact of key factors, 2021
- Bargaining power of suppliers
- Exhibit: Threat of suppliers bargaining power Impact of key factors, 2021
- Competitive rivalry
- Skyquest special insights on future disruptions
- Political Impact
- Economic impact
- Social Impact
- Technical Impact
- Environmental Impact
- Legal Impact
Market Size by Region
- Chart on Market share by geography 2021-2027 (%)
- Data Table on Market share by geography 2021-2027(%)
- North America
- Chart on Market share by country 2021-2027 (%)
- Data Table on Market share by country 2021-2027(%)
- USA
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- Canada
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- Europe
- Chart on Market share by country 2021-2027 (%)
- Data Table on Market share by country 2021-2027(%)
- Germany
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- Spain
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- France
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- UK
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- Rest of Europe
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- Asia Pacific
- Chart on Market share by country 2021-2027 (%)
- Data Table on Market share by country 2021-2027(%)
- China
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- India
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- Japan
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- South Korea
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- Rest of Asia Pacific
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- Latin America
- Chart on Market share by country 2021-2027 (%)
- Data Table on Market share by country 2021-2027(%)
- Brazil
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- Rest of South America
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- Middle East & Africa (MEA)
- Chart on Market share by country 2021-2027 (%)
- Data Table on Market share by country 2021-2027(%)
- GCC Countries
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- South Africa
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- Rest of MEA
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
KEY COMPANY PROFILES
- Competitive Landscape
- Total number of companies covered
- Exhibit: companies covered in the report, 2021
- Top companies market positioning
- Exhibit: company positioning matrix, 2021
- Top companies market Share
- Exhibit: Pie chart analysis on company market share, 2021(%)
- Total number of companies covered
Methodology
For the Big Data In Manufacturing Industry Market, our research methodology involved a mixture of primary and secondary data sources. Key steps involved in the research process are listed below:
1. Information Procurement: This stage involved the procurement of Market data or related information via primary and secondary sources. The various secondary sources used included various company websites, annual reports, trade databases, and paid databases such as Hoover's, Bloomberg Business, Factiva, and Avention. Our team did 45 primary interactions Globally which included several stakeholders such as manufacturers, customers, key opinion leaders, etc. Overall, information procurement was one of the most extensive stages in our research process.
2. Information Analysis: This step involved triangulation of data through bottom-up and top-down approaches to estimate and validate the total size and future estimate of the Big Data In Manufacturing Industry Market.
3. Report Formulation: The final step entailed the placement of data points in appropriate Market spaces in an attempt to deduce viable conclusions.
4. Validation & Publishing: Validation is the most important step in the process. Validation & re-validation via an intricately designed process helped us finalize data points to be used for final calculations. The final Market estimates and forecasts were then aligned and sent to our panel of industry experts for validation of data. Once the validation was done the report was sent to our Quality Assurance team to ensure adherence to style guides, consistency & design.
Analyst Support
Customization Options
With the given market data, our dedicated team of analysts can offer you the following customization options are available for the Big Data In Manufacturing Industry Market:
Product Analysis: Product matrix, which offers a detailed comparison of the product portfolio of companies.
Regional Analysis: Further analysis of the Big Data In Manufacturing Industry Market for additional countries.
Competitive Analysis: Detailed analysis and profiling of additional Market players & comparative analysis of competitive products.
Go to Market Strategy: Find the high-growth channels to invest your marketing efforts and increase your customer base.
Innovation Mapping: Identify racial solutions and innovation, connected to deep ecosystems of innovators, start-ups, academics, and strategic partners.
Category Intelligence: Customized intelligence that is relevant to their supply Markets will enable them to make smarter sourcing decisions and improve their category management.
Public Company Transcript Analysis: To improve the investment performance by generating new alpha and making better-informed decisions.
Social Media Listening: To analyze the conversations and trends happening not just around your brand, but around your industry as a whole, and use those insights to make better Marketing decisions.
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