According to the State of the IoT report published in spring 2024, the Internet of Things (IoT) has consolidated its position as a top three corporate technology priority.
Let’s consider some of the use cases which have assured the IoT of this priority position on the corporate agenda.
#1. Industrial performance monitoring
IoT sensors offer a rapid and cost-effective way to retrofit existing equipment with the means to gather insights about processes, machine performance and overall equipment efficiency. This can be used to adapt processes in response to the data insights generated. In this way, IoT investment drives continuous improvement initiatives.
#2. Manufacturing quality control
IoT devices, including cameras linked to AI-powered optical recognition solutions, can have an important role to play in manufacturing quality control. By automating the detection of defects, IoT solutions can help to ensure consistent and effective detection and response.
When combined with additional AI analytics, process data can then be used to simulate different manufacturing scenarios and develop process and quality improvements.
#3. Industrial preventative maintenance
By capturing data from a machine, one can make decisions about when maintenance is due. By combining IoT sensor data with AI algorithms, preventative maintenance can be automatically scheduled, saving time and effort, reducing the likelihood of downtime, making maintenance more cost-efficient and prolonging the lifetime of machines and equipment.
#4. Industrial tracking and logistics
The original IoT application was a RFID-enabled supply chain tracking solution proposed in 1999 at Proctor and Gamble. Since then, the IoT has helped organisations to track product around manufacturing processes, through logistics processes and helped to drive supply chain efficiencies.
Alongside the growth of the IoT and increasingly affordable sensors and tracking devices, the expansion of 5G and mesh WiFi networking have helped to extend the applications for industrial tracking and logistics. Now sensors are in almost every vehicle used along the supply chain. And digital twins and AI-powered modelling is helping to suggest further supply chain optimisations based on IoT derived data.
#5. Autonomous vehicles
Autonomous vehicles have wide application in an industrial context, especially in areas which are hazardous or have potentially explosive atmospheres, for example. Automated conveyor systems, robotics and autonomous vehicles all have a role to play in reducing risk and streamlining logistics processes.
#6. Healthcare and preventative medicine
In healthcare, the IoT is changing the way we manage chronic diseases. Wearable technologies that track patients’ vital signs and sensors embedded in devices such as insulin monitors or oxygen tanks are empowering patients to manage their own day-to-day care.
At the same time, the data captured from these devices helps physicians to develop personalised care paths for the individual patients and consider more appropriate medical responses. Plus, the data can be used for early detection and to trigger emergency responses.