Edge Automation Market Trends Size Forecast Research

The Edge Automation Systems market research delivers current market analysis plus a five-year market and technology forecast.

Edge Automation Systems Transform Industrial Operations

ARC Advisory Group has unveiled comprehensive research on Edge Automation Systems (EAS), shedding light on their pivotal role in transforming industrial operations. Multiple macro and micro trends are driving the rising demand for edge automation systems, including the growing adoption of industrial-grade AI/ML and the need for reliable edge and cloud platforms. Factors like product variety, scalability, and the suitability of edge automation systems for retrofits and upgrades also contribute to the growing demand. AI/ML is expected to play a central role, with both vendors and users placing an increased focus on its applications. At the same time, security—both hardware and software—remains a key concern, shaped by regulations like NIS2 and the European Cyber Resilience Act.

Edge Automation Systems Strategic Issues

In addition to providing a five-year market forecast, the Edge Automation Systems market research provides detailed quantitative current market data and addresses key strategic issues as follows.

The “IT-fication” of Automation Architectures

Commercial IT is increasingly shaping automation, with architectures adopting virtualization and becoming more IT-like. Future automation systems will be dynamically orchestrated—automatically configured, deployed, and managed to adapt to changing conditions. For example, updating a machine’s product setup will involve adjusting hardware or software and balancing system load to maintain performance..

Future Proof Connectivity and Compute Strategy

Edge solutions should provide the requisite north- and southbound connectivity consistent with current and anticipated installations—especially with upcoming advancements in 5G and Wi-Fi. Consistent edge connectivity is critical for all data sources: hardware, sensors, devices, cloud, data visualization, analytics, security, management, and more. MQTT, OPC UA, REST APIs, and other standard technologies are the primary means of achieving edge-to-cloud connectivity.

Target Specific Use Cases and Establish Tangible Business Value

As the market for Industrial IoT devices grows, it is critical to begin the deployment of edge technologies with a clear plan for achieving value. Some applications like those that utilize machine learning models are better suited for powerful edge computing devices, while other applications such as basic protocol conversion can be performed on less powerful, and less expensive, devices. If the automation application is critical with regard to hard real-time performance and jitter in the microsecond range, confirm with the hardware supplier that the IPC or PC hardware is sufficient in performance to support the automation use case.