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Big Data in Manufacturing Market to Grow at a CAGR of 15.7% Over the Forecast Period; Growing Adoption of Industry 4.0 Technologies to Propel Market Expansion

August 21, 2025 | Information & Technology

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

  • May 2025: Teradata partnered with ServiceNow to incorporate VantageCloud with AI Agent Workflows, integrating generative AI into enterprise operations. This has improved automation, productivity, and decision-making, supporting trusted AI with robust data governance.

List of the 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.)
  • FICO (U.S.)

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

  • North America holds the highest big data in manufacturing market share, attributed to the increasing global technological advancements and adoption of Industry 4.0.
  • Market growth in Europe is driven by the presence of a strong industrial base majorly in automotive and machinery sectors.
  • Market expansion in Asia Pacific is due to the growing implementation of AI analytics and IoT technologies across production and supply chain operations in numerous industries across the region.
  • In terms of offering, the solution segment leads the market, owing to the growing demand for analytics across analytics and IoT tools. Additionally, the ease of optimizing processes and enabling predictive analytics of solutions aids in their segmental growth.

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

  • Solution
  • Services

By Deployment

  • On-Premise
  • Cloud
  • Hybrid

By Application

  • Customer Analytics
  • Operational Analytics
  • Quality Assessment
  • Supply Chain Management
  • Production Management
  • Others (Machine Maintenance, New Product & Service Innovation)

By Region

  • North America (By Offering, By Deployment, By Application, and By Country)
    • U.S. (By Offering)
    • Canada (By Offering)
    • Mexico (By Offering)
  • Europe (By Offering, By Deployment, By Application, and By Country)
    • U.K. (By Offering)
    • Germany (By Offering)
    • France (By Offering)
    • Scandinavia (By Offering)
    • Rest of Europe
  • Asia Pacific (By Offering, By Deployment, By Application, and By Country)
    • China (By Offering)
    • Japan (By Offering)
    • India (By Offering)
    • Southeast Asia (By Offering)
    • Rest of Asia Pacific
  • Middle East & Africa (By Offering, By Deployment, By Application, and By Country)
    • GCC (By Offering)
    • South Africa (By Offering)
    • Rest of Middle East & Africa
  • South America (By Offering, By Deployment, By Application, and By Country)
    • Brazil (By Offering)
    • Argentina (By Offering)
    • Rest of South America

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.)

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