Qualcomm to Acquire Arduino and Launches UNO Q Platform for AI Edge Computing

Qualcomm Technologies has entered into an agreement to acquire Arduino, the prominent open-source hardware and software company, to strengthen its position in the Internet of Things (IoT) and AI edge computing markets. The deal, announced on October 7, 2025, aligns with Qualcomm's broader strategy to provide a comprehensive hardware, software, and cloud stack for the global developer ecosystem. This acquisition is significant for the edge computing sector as it integrates Arduino’s massive community of 33 million users with Qualcomm’s advanced processing power and global infrastructure.

Qualcomm’s acquisition of Arduino marks a strategic expansion into the developer-centric edge computing space, following its previous integrations of Edge Impulse and Foundries.io. While the financial terms were not disclosed, the deal is currently awaiting regulatory clearance and customary closing conditions. Upon completion, Arduino is expected to maintain its independent brand identity and commitment to the open-source community while gaining access to Qualcomm’s extensive engineering resources. This move is intended to streamline the path for developers to build and deploy intelligent systems at scale.

Alongside the acquisition news, the companies unveiled the Arduino UNO Q, a new developer board featuring Qualcomm’s Dragonwing QRB2210 processor. The board is designed with a dual-brain architecture that supports both Linux-capable microprocessing and real-time microcontroller operations, effectively bridging high-level AI computing with low-latency control. This hardware is specifically targeted at makers, educational institutions, and enterprises looking to prototype and commercialize AI-driven solutions for the edge.

The partnership aims to empower Arduino’s global user base of over 33 million by providing them with the tools necessary to accelerate the development of AI-enabled IoT solutions. By combining Arduino’s accessible platform with Qualcomm’s high-performance hardware, the collaboration seeks to lower the barrier for creating sophisticated edge devices. Leadership from both companies emphasized that the goal is to facilitate faster testing and deployment of intelligent systems across various sectors, ranging from student projects to large-scale enterprise applications.