According to a new report from Counterpoint Research, global shipments of Edge AI-capable smartwatches grew 70% year over year in Q1 2026, with Apple accounting for roughly 90% of the total. Edge AI, or on-device artificial intelligence, is transforming how users interact with wearables by reducing cloud dependency and improving privacy and response times.
What is Edge AI and why it matters for smartwatches
Edge AI processes AI tasks directly on the device without sending data to external servers. In smartwatches, this enables features like gesture recognition, Siri commands, and health data analysis to run locally, leveraging the built-in Neural Engine. Apple has deeply integrated this technology into its Apple Watch lineup, starting with the S9 chip featuring a 4-core Neural Engine.
Counterpoint report: 70% growth and 25% market penetration
The report defines Edge AI smartwatches as those with a dedicated neural engine or NPU that runs machine learning inference partially or fully on-device. To qualify, at least one health, safety, or interaction feature must have its primary inference path executed locally. In Q1 2026, global Edge AI smartwatch shipments achieved a market penetration of 25%, meaning one in four smartwatches sold was an Edge AI device.
Sponsored Protocol
Even more striking, Apple alone accounted for approximately 90% of Edge AI smartwatch shipments during that period. Competitors like Samsung and Garmin lag far behind in this segment. Mohit Agrawal, Research Director at Counterpoint, noted: "Edge AI in smartwatches is shifting from primarily a hardware integration to one that also includes software optimization. The real unlock is smaller, more efficient models and OS-level access that lets any app run inference locally."
Apple's dominance and privacy implications
Apple's stronghold in this space is unsurprising given its closed ecosystem and focus on privacy. Processing data locally reduces the amount of information sent to servers, a growing concern for privacy-conscious users. However, other manufacturers are also investing in Edge AI, albeit at smaller volumes. A cautionary tale involves an iPhone user who accidentally sent sensitive messages to a stranger due to a reset error, highlighting why data security on Apple devices remains a top priority. Meanwhile, Google's recent change to Android backup policy, now counting all data toward Google Account storage, underscores the importance of choosing your ecosystem wisely.
Sponsored Protocol
Health feature growth: blood pressure, sleep apnea, and ECG
The report also examined the adoption of health features in smartwatches. Between Q1 2025 and Q1 2026, the share of smartwatches with blood pressure monitoring doubled from 11% to 23%. Sleep apnea detection tripled from 5% to 18%, and ECG rose from 31% to 34%. These figures show how smartwatches are becoming more valid health monitoring tools, and Edge AI plays a key role in processing these vital signals quickly and securely. For more on the fundamentals of edge computing, see the Wikipedia page on Edge AI.
Sponsored Protocol
Future outlook: 32% penetration expected by end of 2026
Counterpoint predicts Edge AI penetration in smartwatches will reach approximately 32% by the end of 2026. That means nearly one in three smartwatches sold will be capable of local AI inference. With new chips and more efficient models on the horizon, Apple's competitors may narrow the gap. For now, the Apple Watch remains the undisputed leader in Edge AI wearables.
