Why AI-Enabled Devices Need Smarter Embedded Software
IoT Analytics reports that the number of connected IoT devices worldwide is on track to surpass 40 billion by 2030, and a growing share of them now run some form of on-device AI rather than relying entirely on the cloud to process what they sense. That shift changes what embedded software is expected to do. It is no longer just firmware that reads a sensor and sends a signal. It has to manage inference, memory constraints, and real-time decision-making on hardware that was never designed with today's AI workloads in mind.




