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The global big data in manufacturing market size was valued at USD 6.94 billion in 2024. The market is expected to rise from USD 7.94 billion in 2025 to USD 22.00 billion by 2032, exhibiting a CAGR of 15.7% during the forecast period.
Fortune Business Insights™ presents this information in its report titled, “Big Data in Manufacturing Market Size, Share & Industry Analysis, By Offering (Solution and Services), By Deployment (On-Premise, Cloud, and Hybrid), By Application (Customer Analytics, Operational Analytics, Quality Assessment, Supply Chain Management, Production Management, and Others), and Regional Forecast, 2025 – 2032”.
Big data in manufacturing includes storing, collecting and assessing a large quantity of undefined and defined data from different manufacturing operations. This aids in achieving an analytical, real-time and predictive insights for addressing the issues in production processes. The market is noticing a substantial growth majorly due to the growing data availability, owing to the increase in use of sensors, and connected device systems for manufacturing process. Additionally, the growing trend of Industry 4.0 technology adoption across the globe has offered lucrative opportunity for market.
The COVID-19 pandemic assisted market growth due to increased usage of big data solutions in manufacturing, surged data connectivity, and rapid usage of machine learning, artificial intelligence and cloud services.
Generative AI Improves Data-Driven Operational Efficiency and Decision Making, Boosting Market Growth
Generative AI is contributing to the market growth by enhancing data-based decision-making and operational efficiency. It has resulted in effective synthetic data, optimized designs, and forecasting the maintenance requirement for businesses, cutting down downtime and expenses.
Hitachi and Microsoft Emphasize Partnerships to Boost Generative AI Adoption
In June 2024, Hitachi and Microsoft declared a multi-billion-dollar, three-year collaboration to boost generative AI integration. This alliance integrates Microsoft’s Azure Open AI Service, Dynamics 365 and Copilot into the Hitachi’s Lumada solutions for mobility, energy and various other sectors. It trains around 50,000 GenAI professionals to gain around 70-80% accuracy in generating code across the internal tests.
Rise in Data Generation from Manufacturing Operations to Fuel Market Development
Rapid integration of IoT devices and sensors in manufacturing processes drives the big data in manufacturing market growth. This allows a large volume of data creation, thus demanding effective big data analytics to extract and process the data. It enables higher accuracy while advanced planning, real-time monitoring, predictive maintenance, and optimizing supply chain. Additionally, governments across various countries are also focusing on fostering digital transformations and advanced product adoption.
Conversely, risks related to data security and system integration hinders the overall market growth.
Top Players Emphasize Delivering Advanced Analytics Solutions to Strengthen Their Market Presence
The global market is highly competitive with different key industry players delivering innovative analytics solutions and services that enables manufacturing process optimization. Some of these companies include IBM, Microsoft, and SAS Institute.
Notable Industry Development
List of the Companies Profiled in the Report
To get a detailed report summary and research scope of this market, click here
https://www.fortunebusinessinsights.com/big-data-in-manufacturing-industry-102366
Further Report Findings
Table of Segmentation
|
ATTRIBUTE |
DETAILS |
|
Study Period |
2019-2032 |
|
Base Year |
2024 |
|
Estimated Year |
2025 |
|
Forecast Period |
2025-2032 |
|
Historical Period |
2019-2023 |
|
Growth Rate |
CAGR of 15.7% from 2025 to 2032 |
|
Unit |
Value (USD Billion) |
|
Segmentation |
By Offering
By Deployment
By Application
By Region
|
|
Companies Profiled in the Report |
IBM (U.S.), SAS Institute (U.S.), Microsoft (U.S.), Oracle (U.S.), SAP SE (Germany), Accenture (Ireland), Altair Engineering (U.S.), TIBCO Software (U.S.), Alteryx (U.S.), and FICO (U.S.) |