Industrial Data Management Market Size, Share & Trend Analysis Report By Solution Type (Data Orchestration & Analytics, Data Storage & Integration, Data Sharing), By Data Type, By Application, By End Use, By Region, And Segment Forecasts, 2025 - 2030

Industrial Data Management Market Summary

The global industrial data management market size was estimated at USD 102.58 billion in 2024 and is projected to reach USD 234.73 billion by 2030, growing at a CAGR of 14.8% from 2025 to 2030. Automation driven by AI is growing rapidly in industrial data management.

Companies increasingly use AI to boost efficiency and streamline complex operations across various sectors. This shift reduces reliance on manual labor for repetitive and time-consuming tasks, allowing workers to focus on higher-value activities. As a result, decision-making processes become faster, more data-driven, and more accurate. Industries are steadily moving toward smarter, more autonomous systems that can adapt and respond in real-time, improving overall productivity and competitiveness. In October 2024, Honeywell International Inc., a U.S.-based technology and industrial solutions company, collaborated with Google LLC to integrate Google's advanced AI technology, Gemini, with the industrial data managed on Honeywell's Forge platform. The goal of this collaboration is to enable autonomous operations for Honeywell’s customers. These AI-driven tools are designed to automate tasks performed by warehouse workers, engineers, technicians, and others.

The industrial data management industry is growing rapidly due to the increasing adoption of cloud-based solutions and digital transformation. Integration of cloud technology with automation is driving demand for real-time data access, scalability, and advanced analytics. This growth is fueled by manufacturers seeking to optimize processes, minimize downtime, and enhance operational agility. As industries prioritize efficiency and responsiveness, the market continues to expand. The rise of smarter, more connected, and data-driven industrial systems is accelerating market development. The push for interoperability across systems and devices is also contributing to stronger adoption of industrial data platforms.

In addition, growing investment in AI and IoT technologies is further reinforcing the need for robust, scalable data management infrastructure. For example, in April 2025, Rockwell Automation, a U.S.-based automation company, partnered with Amazon Web Services, Inc. to advance manufacturing through cloud-enabled industrial automation solutions. The collaboration aims to accelerate digital transformation across the manufacturing sector by combining expertise in automation and cloud technology.

The integration of AI and robotics in predictive maintenance is fueling rapid growth in the industrial data management industry. As manufacturing facilities adopt these technologies, they generate vast amounts of sensor and machine data that must be processed, analyzed, and stored efficiently. This drives demand for scalable, cloud-based, and edge-enabled data platforms capable of handling real-time inputs. AI models require continuous data flow for training and optimization, pushing companies to invest in robust data architectures.

Robotics adds another layer of complexity, producing operational data that needs structured management. The shift from reactive to predictive maintenance increases reliance on data accuracy and system interoperability. Advanced analytics, anomaly detection, and performance benchmarking tools are also gaining traction. Data security, compliance, and lifecycle management become critical as AI and robotics scale across industries. As a result, organizations are expanding their data infrastructure to support smarter, automated decision-making. This transformation positions data management as a central component of future-ready industrial operations.

Global Industrial Data Management Market Report Segmentation

This report forecasts revenue growth at the global, regional, and country levels and provides an analysis of the latest industry trends and opportunities in each of the sub-segments from 2018 to 2030. For this study, Grand View Research has segmented the global industrial data management market report based on the solution type, data type, application, end use, and region.

• Solution Type Outlook (Revenue, USD Billion, 2018 - 2030)
• Data Orchestration & Analytics
• Data Storage & Integration
• Data Sharing
• Data Security
• Data Visualization
• Data Governance & Compliance
• Data Type Outlook (Revenue, USD Billion, 2018 - 2030)
• Structured
• Unstructured
• Semi-Structured
• Application Outlook (Revenue, USD Billion, 2018 - 2030)
• Predictive Maintenance
• Asset Monitoring & Optimization
• Real-Time Operational Analytics
• Manufacturing Process Optimization
• Supply Chain & Inventory Management
• Regulatory Reporting & Compliance
• Others
• End Use Outlook (Revenue, USD Billion, 2018 - 2030)
• Manufacturing & Processing
• BFSI
• Energy & Utilities
• Logistics & Supply Chain
• Healthcare & Life Sciences
• Others
• Regional Outlook (Revenue, USD Billion, 2018 - 2030)
• North America
• U.S.
• Canada
• Mexico
• Europe
• UK
• Germany
• France
• Asia Pacific
• China
• Japan
• India
• Australia
• South Korea
• Latin America
• Brazil
• Middle East & Africa (MEA)
• KSA
• UAE
• South Africa

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