CES 2026: Qualcomm Bolsters IoT, Automotive, and Robotics Solutions

Qualcomm unveiled several product updates alongside the launches of new products ahead of the official opening of CES 2026. The solutions are primarily focused on expanding their offerings for vehicles, robots, and IoT devices.

For the IoT sector, the company launched a pair of Dragonwing Q-series processors intended to support secure on-device AI on drones, smart cameras, industrial vision systems, media hubs, and various other devices. It noted the new silicon was complemented by related software, services, and developer tools, including technology gained from acquisitions of Augentix, Arduino, Edge Impulse, FocusAI, and Foundries.io within the last 18 months.

The majority of its announcements were aimed at the automotive segment and included an extended collaboration with Google intended to simplify the development of software-defined vehicles and aid the adoption of in-vehicle agentic AI. It stated that the pact establishes end-to-end automotive technology solutions to integrate its digital chassis products with Google’s automotive software. The pair aims to provide the means for automakers to create next-generation vehicles that better anticipate, react, and adapt to driver needs with agentic AI.

Among its latest products for the sector is a 5G RedCap modem intended to help automakers scale 5G across more vehicles, as the company pointed to increased safety on the road delivered by modern connectivity systems and infrastructure. Qualcomm noted its kit was being used by an increasing number of players in the automotive industry, with a range of new collaborations announced at CES.

During the Las Vegas event, it showcased what it described as a comprehensive full-stack architecture covering hardware, software, and compound AI systems for next-generation robotics. It asserted its newly announced processor for full-size humanoid robots and industrial autonomous mobile robots would deliver high-performance, energy-efficient brain-of-the-robot capabilities. Qualcomm added its end-to‑end architecture, which accelerates automation by transforming physical embodiments for general‑purpose, continuously learning robots for retail, logistics, and manufacturing.