Industrial IoT connects industrial equipment and systems for a complete data picture that drives improved industrial processes. Industrial IoT starts with data connectivity at the edge and ends with complete factory-to-cloud data flow to fuel productivity and efficiency gains at every level of the business.

McKinsey estimates that IIoT will be a $500 Billion market by just 2025, driven by the appeal of transformative use cases ranging from predictive maintenance to AI and machine learning. Adopting an Industrial IoT strategy provides the following business value for manufacturers:

Fast Insights on the Factory Floor
IIoT activates on-premise use cases that truly transform the factory floor and show quick ROI – from condition-based monitoring to better understand how assets are performing, to OEE to improve manufacturing productivity.

Long-term Analysis in the Cloud
The IIoT data flow fuels long-term big data analysis and machine learning in the cloud. These insights are only as good as the data that feeds them, and an IIoT platform ensures the complete and continuous flow of factory data to the cloud.

A Complete Feedback Loop
IIoT not only leverages machine data at the edge and sends it to the cloud for advanced analytics, but the right solution also runs machine learning models back on the factory floor to complete the feedback loop for smarter manufacturing over time.

Whether the use case is better solved at the edge or in the cloud, Industrial IoT adoption is driven by the need to solve real business problems – things like achieving production visibility, improving OEE, reducing downtime, reducing scrap, or tracking assets.

The Industrial IoT journey typically begins with on-premise data analysis to monitor assets and achieve productivity improvements at the equipment-level. Over time, the data collected from the factory and sent to cloud and enterprise systems reveals patterns and learnings that lead to predictive analytics and business-level process and quality improvements.

The way to enable this type of complete digital transformation is with an Industrial IoT platform for end-to-end data intelligence.

An IIoT platform handles the collection of large volumes of data from all assets, analyzes it at the edge, and makes it available in a ready-to-use format to any cloud or enterprise system. Then, the platform takes the data models created in the cloud and puts them to work next to the equipment on the shop floor to improve operations and realize the full value of IIoT.

Although manufacturers are piloting Industrial IoT initiatives, few have been successful in scaling those pilots to achieve real business gains. IIoT challenges range from heterogeneous assets on the factory floor to integrating OT and IT systems. The key is to adopt an IIoT platform that drives the free flow of data from edge to cloud to provide both OT and IT teams with the data they need to drive operational improvements across the enterprise.

Edge to Cloud Data Flow

Want to learn more and compare Industrial IoT platforms? Download the 2021 Industrial IoT Platforms Buyer’s Guide.