NXP Semiconductors today announced its eIQ Agentic AI Framework, a software platform designed to bring autonomous, low-latency decision making directly to edge devices. The framework supports the i.MX 8 and i.MX 9 processor families and Ara Discrete Neural Processing Units, enabling developers to run multiple models—vision, audio, time series and control—in parallel with deterministic real-time performance. By integrating hardware-aware model preparation, automated tuning workflows and an intelligent scheduler across CPU, NPU and accelerators, NXP aims to reduce development cycles for industrial automation, robotics, smart buildings and healthcare applications from months to weeks.

At CES 2026, NXP showcased collaborations with GE HealthCare and Honeywell that leverage the eIQ Agentic AI Framework to prototype on-device medical monitoring and building management solutions. GE HealthCare’s anesthesia delivery and infant monitoring concepts demonstrate real-time patient data updates without cloud reliance, while Honeywell’s integration into building control systems highlights resilience against hazards such as fire. These alliances reinforce NXP’s leadership in secure edge AI, complementing its existing automotive and industrial customer base of more than 400 partners.

NXP reported revenue of $12.61 billion for fiscal 2024 and operates in over 30 countries, with industrial & IoT comprising 25% of its total sales. Management forecasts that demand for edge AI platforms will grow at a compound annual rate exceeding 20% through 2028, driven by use cases requiring data privacy, high reliability and low latency. Investors should note that the eIQ Agentic AI Framework—which integrates secure boot, runtime isolation and a hardware root of trust—positions NXP to capture a larger share of the projected $17 billion edge AI market by 2027.