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Mouser: Edge AI Powers Real-Time Industrial Automation
Industrial systems create large volumes of data as they implement predictive maintenance and automation. Global data generation reached 181 zettabytes (ZB) in 2025, with estimates predicting 221ZB in 2026. Moving all that data to the cloud can overwhelm networks and slow response times. The latency of round-trip data to the cloud can range from tens to hundreds of milliseconds in traditional enterprise networks, depending on network path and distance. That speed is too slow for the real-time control and safety functions of industrial systems. Processing every event in the cloud also increases communication costs and introduces the risk of system outages when connectivity is poor.
