IT之家 7 月 7 日消息，

• Global Edge AI-capable smartwatch shipments grew 70% in Q1 2026 . On-device neural accelerators make on-device inference feasible, with always-on health monitoring, instant safety alerts and privacy expectations being processed locally.

• With the upcoming on-device chipset integration, like Qualcomm Snapdragon Wear Elite, the Edge AI penetration in smartwatch is expected to cross 32% in 2026 .

New Delhi, Beijing, Berlin, Buenos Aires, Fort Collins, Hong Kong, London, Seoul, Taipei, Tokyo – July 6, 2026

Global Edge AI-capable smartwatch shipments grew by 70% YoY in Q1 2026 , reaching a market penetration of 25%, according to the Counterpoint Global Smartwatch Shipments Tracker . This rapid growth is driven by consumers’ growing demand for more useful health and fitness insights, which are beyond basic metrics such as step count, heart rate monitoring and sleep duration. Additionally, low-power neural accelerators have made on-device processing feasible without compromising the device’s battery life, allowing AI features to run directly on the watch. This lets the device deliver instant health alerts like fall and arrhythmia detection, and personalized recommendations with a more private user experience, without relying heavily on a smartphone or cloud-based service.

Commenting on the AI rise in smartwatches, Principal Analyst Anshika Jain said, “Brands have been continuously upgrading their smartwatch hardware to make devices more AI-capable. Edge AI integration enables real-time health insights and faster responses while helping ensure data privacy. Currently, Edge AI penetration remains limited to leading brands, with Apple solely accounting for ~ 90% of Edge AI smartwatch shipments in Q1 2026 ."

Edge AI Penetration in Global Smartwatch, Q1 2026 vs Q1 2025

Source: Counterpoint Research Global Smartwatch Shipments Tracker, Q1 2026

Health and fitness monitoring is the primary driver of Edge AI integration in smartwatches . Rather than streaming bio signals to the cloud, watches now run inference locally to analyze heart rate, sleep patterns and temperature, in real time, and detect conditions such as atrial fibrillation, sleep apnea, and elevated blood pressure on device. This has pushed health-feature integration up sharply across the smartwatch industry. In Q1 2026 , shipments of smartwatches with blood pressure monitoring doubled and those with sleep apnea detection tripled. Brands are now targeting harder problems such as diabetes.

Health Features Penetration in Smartwatches, Q1 2026 vs Q1 2025

Source: Counterpoint Research Global Smartwatch Shipments Tracker, Q1 2026

*Penetration not limited to the Edge AI smartwatches

On the supply side, chipset makers are constantly upgrading their silicon to turn smartwatches into intelligent health companions rather than passive trackers. Apple introduced its S9 chip, back in 2023, featuring a 4-core Neural Engine to handle machine learning tasks. Huawei introduced its in-house Kirin W80 chip in 2025, paired with its ‘Celia’ assistant, to stay competitive in the smartwatch AI race. For 2026, Qualcomm has announced the Snapdragon Wear Elite with a dedicated NPU, while Google’s upcoming Tensor-based wearable silicon is expected to deepen AI integration. Beyond the NPU-equipped devices we count today, a second layer of on-device AI is emerging on vector-core silicon without a dedicated NPU, as seen in Ambiq's Apollo platform running neural inference through Arm Helium vector extensions and its new heliaCORE software kernel. This software-accelerated approach is worth watching as it could expand on-device AI to devices that fall outside the current hardware definition.

Emphasizing the smartwatch Edge AI outlook, Research Director Mohit Agrawal said, “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. AI needs to turn from a single application into a personal layer that works on personal data. This enables instant health alerts, gesture control, and richer personalized experiences, and that is why Edge AI penetration is set to approach 32% in 2026 .”

*Edge AI smartwatches are wearable devices 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 executing locally on that accelerator.

About Counterpoint Research

Counterpoint Research is a global market research firm specializing in products across the technology ecosystem. We advise a diverse range of clients – from smartphone OEMs to chipmakers and channel players to Big Tech – through our offices located in the world's major innovation hubs, manufacturing clusters and commercial centers. Our analyst team, led by seasoned experts, engages with stakeholders across the enterprise – from the C-suite to professionals in strategy, analyst relations (AR), market intelligence (MI), business intelligence (BI), product and marketing – to deliver services spanning market data, industry thought leadership and consulting. Our core areas of coverage include AI, Automotive, Consumer Electronics, Displays, eSIM, IoT, Location Platforms, Macroeconomics, Manufacturing, Networks and Infrastructure, Semiconductors, Smartphones and Wearables. Visit our Insights page to explore our publicly available market data, insights and thought leadership, and to understand our focus, meet our analysts and start a conversation.

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