The Industrial Ethernet Edge Gateways market research delivers current market analysis plus a five year market and technology forecast. The research is available in multiple editions including worldwide, all regions, and most major countries.
Industrial Ethernet Edge Gateway Market Driven by AI Adoption and the Convergence of Networking and Security
ARC research reveals that adoption of AI and the convergence of networking and security are major current drivers of the Industrial Ethernet Edge market. Manufacturers continue to evaluate and adopt AI tools and applications as vehicles for doing more with less, overcoming shortages of skilled workers, and achieving competitive advantage. Use of AI to enable automated and autonomous operations is a central tenet of these efforts. Sound security postures are a cornerstone of operational resilience given increased recognition of manufacturing as a primary target threat landscape and escalating regulatory requirements, resulting in the ongoing convergence of networking and security.
Industrial Ethernet Edge Gateway Strategic Issues
In addition to providing a five-year market forecast, the Industrial Ethernet Edge Gateway market research provides detailed quantitative current market data and addresses key strategic issues as follows.
Focus Educational and Knowledge Engineering Efforts on Easing System Management Complexity
Industrial networking technology and associated security mechanisms are increasing in complexity. The IT organization is increasingly involved in purchase decisions, particularly ensuring adherence to organizational security postures. A further broad spectrum of personnel may be involved with network engineering, ranging from operations to maintenance and beyond. These personnel must know how to interact with the entire architecture, particularly if issues arise on third shifts or in remote installations where a more IT-oriented skill set is not readily available. Emphasizing ease of use, interoperability, and stakeholder education are paths to overcoming this complexity while still taking advantage of its associated benefits. Suppliers should look to reduce network complexity for OT personnel responsible for production operations by providing capabilities such as zero touch provisioning and logical network visualizations that do not require IT expertise to manage.
Leverage an Ecosystem-based Approach
Larger companies with dedicated IT teams and data scientist developer capabilities may prefer a highly customizable range of products to meet their unique needs, while smaller players with fewer integration resources can rely on standardized products from established ecosystems, including those of their preferred hyperscaler. An increasing number of major suppliers aim to be “one-stop shops,” offering seamless integration across product lines and discounts for customers already within their ecosystems.
Future Proof Connectivity and Compute Strategies
Consistent edge connectivity is crucial for integrating all data sources — hardware, sensors, devices, cloud services, data visualization, analytics, security, and management. Technologies like MQTT, OPC UA, REST APIs, and certified integration with hyperscaler edge ecosystems enable effective edge-to-cloud connectivity. To ensure seamless operation, verify that your edge compute requirements align with the CPU, memory, OS, and container support capabilities of your selected devices.
