Qualcomm Technologies has announced an agreement to acquire Arduino. Arduino will remain an independent brand and will continue to support products from various semiconductor manufacturers. With the integration, Qualcomm intends to expand its edge computing and AI ecosystem and add the large Arduino community with more than 33 million active users to its own platform strategy.

With our acquisitions of Foundries.io, Edge Impulse, and now Arduino, we are accelerating our vision to democratize access to our leading‑edge AI and computing products for the global developer community,” said Nakul Duggal, Group General Manager, Automotive, Industrial and Embedded IoT, Qualcomm Technologies, Inc. “Arduino has built a vibrant global community of developers and creators. By combining their open-source ethos with Qualcomm Technologies’ portfolio of leading edge products and technologies, we’re helping enable millions of developers to create intelligent solutions faster and more efficiently—including a path towards global commercialization by leveraging the scale of our ecosystem.”

“Joining forces with Qualcomm Technologies allows us to supercharge our commitment to accessibility and innovation,” said Fabio Violante, CEO, Arduino. “The launch of UNO Q is just the beginning— we’re excited to empower our global community with powerful tools that make AI development intuitive, scalable, and open to everyone.”

As part of the takeover, Arduino presented the new Arduino UNO Q, a single-board computer with so-called dual-brain architecture. It combines a Linux-capable Qualcomm Dragonwing processor with a microcontroller for real-time applications. The system is designed to enable AI applications such as image, sound or anomaly detection in real time.

At the same time, the company is launching Arduino App Lab, an integrated development environment that brings together projects under Linux, Python, real-time operating systems and AI workflows. App Lab is open source and linked to the Edge Impulse platform to train and optimize AI models with real data faster.

The transaction is still subject to regulatory approvals and other closing conditions.