Why choose Arm for wearables, smart home, and embedded
Sustained efficiency
Deliver always-on sensing, health tracking, and voice with ultra-low-power Arm MCUs, MPUs, and NPUs optimized for edge AI.
Security built in
Protect personal and household data with Armv9 security, TrustZone, and PSA Certified designs across wearables and smart home devices.
Faster time-to-market
Start from pre-integrated platforms like the Armv9 edge AI platform and Corstone, plus developer libraries and tools, to reduce integration risk and ship products sooner.
Featured partners transforming daily life with Arm
Leading SiPs, ODMs and OEMs across wearables and smart homes rely on Arm as their edge AI foundation—from health and fitness brands to appliance makers and home security vendors.
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Key takeaways
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Arm provides the edge AI platform for wearables and smart home devices, delivering leading sustained efficiency for always-on sensing, health, and automation.
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Security is built into the architecture, helping protect sensitive personal and household data across devices and clouds.
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Pre-integrated platforms, reference designs, and software stacks reduce integration complexity and speed time-to-market for silicon partners, OEMs, and ODMs.
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A large, active developer ecosystem and rich toolchain support make it easier to build, optimize, and scale edge AI applications across diverse consumer form factors.
FAQs
What products are included in the Wearables and home devices category?
This category covers Arm-based platforms and IP for wearables (such as smartwatches, fitness bands, XR devices) and smart home products (like thermostats, cameras, speakers, appliances, and hubs). It spans Cortex-M and Cortex-A CPUs, Mali GPUs & ISPs, Ethos NPUs, system IP, Corstone reference designs, and supporting software and tools.
How does Arm help improve battery life in wearables and smart home devices?
Arm co-designs CPUs, GPUs , and NPUs specifically for low-power, bursty workloads typical of sensing and inference. Combined with optimized libraries such as Kleidi for IoT and CMSIS-NN, this yields higher AI performance per watt and longer battery life for always-on devices.
How is security addressed across Arm-based wearables and home devices?
Armv8/Armv9 architecture features, TrustZone isolation, secure boot, and PSA-aligned guidelines enable silicon partners and OEMs to build devices that protect credentials, health data, and in-home video streams against a wide range of attacks.
How do Arm platforms reduce integration complexity and time-to-market?
Pre-integrated Armv9 edge AI and Corstone platforms and compute subsystems combine CPU, NPU, memory, and security IP with validated software and virtual hardware targets. This reduces custom glue logic, accelerates bring-up and validation, and lets teams focus on differentiating features and UX.