Gartner published a research called IOT is a Divided Market – Which Piece Will You Capture, and What’s Your Plan in which cover overall IOT market. What caught our eye is Industry 4.0 part of course. We will give overview on part of analysis related to product and technology alignment. Here are some of key insights on Industry 4.0 market:
- End-to-end IoT solutions for the industrial IoT market are characterized by heavy integration with, and usually a heavy dependency on, existing enterprise applications, such as ERP, supply chain management, asset management and manufacturing management. There are significant edge computing requirements with delegated services from the cloud, and IoT end devices that have multiple sensors throwing off large amounts of data — often at high velocity.
- Deployment options in industrial IoT are complex, leading to significant integration challenges. The primary enterprise applications drive the solutions, with IoT services running on the cloud or on-premises or as a hybrid implementation. Edge computing includes edge platforms and edge gateways running mostly on-premises. IoT devices with a multitude of different protocols connect through gateways and edge platforms with significant compute capabilities. Industrial IoT is mostly a five-tier architectural model (device, gateway, edge, cloud and enterprise application).
- Reliability and resilience are fundamental in most industrial IoT solutions — particularly as there may also be safety factors involved. This includes the monitoring and management of critical devices and services that require 100% uptime. Industrial IoT solutions are therefore usually designed for failure and the recovery from failure. These factors add to the architectural challenges.
- Industrial IoT solutions will likely have a low number of endpoints (in the thousands or tens of thousands). The volume of data generated by the endpoints and the frequency and velocity of data generation are likely very high, with sensors being able to send data at millisecond frequencies. Industrial IoT solutions are device-light but data-heavy.
- The data generated by industrial IoT sensors is often critical to the operation of end devices and may also contribute to the safety of the environment the end devices are in. Hence, edge analysis and processing are more significant in industrial IoT solutions to address safety, as is an emphasis on uptime and minimizing data loss through sophisticated network design.
We will address what this means and how we can help in each of these segments in some of our future articles.