Building hybrid AI at the Edge - Qualcomm at embedded world 2025

Advancements in on-device AI processing are enabling real-time decision-making, improved efficiency, and enhanced security across various sectors, including industrial automation, automotive, and smart cities. Qualcomm’s AI-optimised hardware and software solutions are designed to accelerate Edge intelligence, reducing reliance on Cloud connectivity while delivering high-performance computing at lower power consumption.

One key theme is AI’s role in enabling smarter, more autonomous systems. AI-driven industrial applications, from predictive maintenance in manufacturing to intelligent video analytics for security, require low-latency and high-efficiency processing. Qualcomm’s latest AI chipsets and system-on-modules (SoMs) integrate dedicated AI accelerators that support neural network inferencing, allowing embedded devices to process complex workloads with minimal latency.

Qualcomm is collaborating with software partners, OEMs, and industry leaders to develop optimised AI solutions tailored to specific applications. Whether it is enabling advanced driver-assistance systems (ADAS) in automotive or enhancing robotics with real-time AI decision-making, Qualcomm’s solutions are positioned to meet the growing demand for AI at the Edge.