By integrating data analytics, cloud computing, and edge technologies, IIoT delivers smarter, faster, and more cost-efficient solutions. Here are the top 10 IIoT applications transforming the industrial landscape.
1. Predictive Maintenance
One of the most impactful IIoT applications is predictive maintenance. Using sensors embedded in equipment, IIoT systems monitor variables like vibration, temperature, and noise in real time. Machine learning algorithms analyse this data to predict when a component might fail. This allows maintenance teams to fix issues proactively, reducing unexpected downtime, lowering repair costs, and extending equipment life.
Example: General Electric uses IIoT in its aviation division to predict engine component wear, preventing unplanned outages and saving millions annually.
2. Smart Manufacturing
IIIoT enables factories to become “smart” by connecting machines, robots, and systems to a centralised data platform. This integration enhances process automation, monitors production efficiency, and identifies areas for optimisation.
Benefits:
- Improved product quality
- Reduced waste
- Enhanced flexibility for custom orders
Example: Siemens’ MindSphere platform helps manufacturers optimise operations across global facilities using real-time performance data.
3. Supply Chain Optimisation
With IIoT, companies can track goods throughout the supply chain with real-time visibility. Sensors monitor location, temperature, humidity, and handling conditions, especially for sensitive items like pharmaceuticals or food products.
Outcome: Improved logistics, fewer delays, reduced inventory costs, and enhanced compliance with safety regulations.
4. Energy Management
Energy consumption is a major cost in industrial operations. IIoT solutions enable granular monitoring of energy usage across systems and departments. Companies can identify inefficiencies, automate usage during off-peak hours, and integrate renewable sources more effectively.
Example: Schneider Electric uses IIoT to help industries reduce energy costs and carbon emissions through real-time analytics and automation.
5. Remote Asset Monitoring
For industries with distributed operations—like oil & gas, mining, and utilities—IIoT makes it possible to remotely monitor the performance and status of assets. This application improves safety and reduces the need for physical inspections in hazardous environments.
Example: BP uses IIoT to monitor offshore drilling rigs, reducing manual intervention and improving safety.
