In four years, more than 30 percent of businesses and organizations will include edge computing in their cloud deployments to address bandwidth bottlenecks, reduce latency, and process data for decision support in real time. Edge computing accomplishes this by bringing the businesses’ computational processes closer to the data sources, increasing the speed of these actions.

Additionally, even if a single node is unreachable, the service should still be accessible to users. In this way, edge computing promises to deliver the internet of things (IoT) reliably and quickly while taking more care of security and data privacy. What’s more, 69 percent of organizations say that prioritizing edge-based analytics will improve their ability to meet IoT objectives for specific use cases.

Industries, including manufacturing, water and wastewater, utilities, and building, are implementing hybrid strategies to enable real-time analytics, such as machine-anomaly detection and diagnostics, quality analytics, energy analytics, and overall equipment effectiveness (OEE).

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