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The edge controller was born of user demand for new functionality to address automation’s hottest trend: the convergence of IT and OT. Edge controllers combine traditional deterministic control with edge functionality, such as data collection and analytics.
Two phenomena, the Cloud and the edge, are changing the makeup of automation architectures. Driven by growing demand for the collection and evaluation of process data, the classic automation architecture as it has been known for decades is evolving under the heavy influence of “commercial” technologies.
The edge controller market is still emerging, with only a limited number of products currently available. However, there are already solutions in the field and some suppliers have integrated edge functionality into their controllers. They provide the same control features as before but are enhanced by the capability to perform edge tasks while communicating bidirectionally with a Cloud. Some users and machine builders are buying edge controllers today to future-proof their control architecture. This is one reason why ARC observes a small but quickly growing market of edge controllers.
There are multiple ways of realizing an edge controller. Suppliers take different approaches, and some combine two or more. No single approach is considered to be the best, so users should weigh the pros and cons and match them to their individual application needs.
ARC considers the following approaches in its report:
In addition to providing a five-year market forecast, the edge controller market research provides detailed quantitative current market data and addresses key strategic issues.
Machine operators are already flooded with information, so adding more functionality and generating more information can have unintended effects. Presenting pre-analyzed information can help operators make more frequent and timely decisions.
Savvy users recognize that Industrial IoT should be pursued not just for technology’s sake but also to achieve clear business outcomes. Early industrial implementations tended to emphasize maximizing performance in areas such as reducing machine downtime, output improvements, and cost savings for service operations. Industrial IoT solutions currently enable these outcomes through applications such as analytics and machine learning-based predictive maintenance capabilities, and the spectrum of targeted applications continues to broaden. By focusing on connecting operations, products and services can help users determine the best solution for achieving the desired outcome.
Many solutions currently have a “controller + x” architecture. In retrofits and modernizations, edge controllers can deliver immediate benefit to brownfield installations.
Users often start with a simple controller, but later need to add edge functionality with cloud connectivity. By using an “edge-ready” solution at the beginning, later upgrades that add edge functionality will be much easier than integrating edge devices with a “non-edge” controller.
Offering apps that run on edge controllers is key to a complete edge controller solution. To accomplish that, suppliers should create an ecosystem of partners that provide dedicated apps through an app store or a cloud-based app space where a user can easily browse and select apps.
This market study may be purchased as a concise, executive-level Emerging Market Analysis Report (PDF).
MIRA Workbook | Market Analysis PDF | |
Worldwide (includes regional data) | No | Yes |
The research identifies all relevant suppliers serving this market.
For more information or to order the Edge Controller Emerging Market Analysis report, please contact us.