高通从芯片速度转向AI连接
高通将其骁龙品牌从智能手机应用处理器平台扩展为覆盖PC、可穿戴设备、汽车等多设备的AI平台。该公司正将重点从芯片速度转向AI连接能力。
原文深度解读
本文介绍了高通将骁龙品牌从智能手机应用处理器平台扩展为覆盖PC、可穿戴设备、汽车和XR设备的多设备AI平台，强调从芯片速度转向AI连接能力。文章提及高通调查显示61%的韩国消费者认为骁龙是提升高端安卓体验的关键因素，并提到2026年7月22日Galaxy Unpacked活动上发布的新品，包括骁龙8 Elite Gen 5、骁龙Wear Elite和第一代骁龙AR1平台。全球骁龙设备使用量超过35亿。文章还讨论了端侧AI如何解决可穿戴和XR设备的延迟、连接和隐私问题。
- 高通调查显示，61%的韩国消费者认为骁龙是提升高端安卓体验的关键因素。
- 2026年7月22日，Galaxy Unpacked活动上，三星新Galaxy系列采用骁龙8 Elite Gen 5、骁龙Wear Elite和第一代骁龙AR1平台。
- 全球使用中的骁龙设备超过35亿部。
- 骁龙8 Elite Gen 5基于高通Oryon CPU，支持8K 60fps视频播放，并集成AV1和H.265编解码器。
- 骁龙Wear Elite平台用于Galaxy Watch9和Galaxy Watch Ultra2，通过多传感器融合监测生物信号和环境。
- 第一代骁龙AR1平台专为智能眼镜设计，强调超轻量低功耗，优化了摄像头视觉识别、实时翻译、HUD显示和端侧AI语音交互。
供应链影响
- 高通扩展至多设备AI平台可能增加对相关芯片组的需求，如可穿戴和XR设备芯片，从而影响供应链中这些组件的采购量。
- 端侧AI处理能力的提升可能改变对云服务器和网络基础设施的依赖，进而影响数据中心相关元器件的需求。
- 骁龙平台在PC、汽车等新领域的应用可能带动这些领域对高通芯片的采购，影响现有供应链格局。
- 对低功耗和高集成度设计的需求可能推动先进封装和制造工艺的采用，影响半导体制造供应链。
- 全球35亿部设备的使用量可能为高通带来稳定的替换和升级需求，但具体影响取决于市场接受度和竞争态势。
系统解读，仅作为判断线索，不构成备货、出货、涨价或投资建议。
高通的骁龙品牌最初是智能手机移动应用处理器（AP）平台，现在正扩展为一个跨PC、可穿戴设备、汽车和扩展现实（XR）设备的多设备人工智能（AI）平台。
根据高通于4日发布的调查，61%的韩国消费者认为骁龙是提升高端安卓体验的关键因素。随着端侧AI时代加速到来，市场不仅对原始处理能力有需求，还对能够识别用户情境并无缝连接多设备的智能集成体验有需求。
高通在7月22日举行的Galaxy Unpacked 2026上强调了这一生态系统扩展战略。三星的新Galaxy系列采用了面向智能手机的骁龙8 Elite Gen 5 for Galaxy、面向可穿戴设备的骁龙Wear Elite，以及第一代骁龙AR1平台（用于智能眼镜）。
目前全球有超过35亿部搭载骁龙的设备在使用中。高通持续推行平台战略，在系统层面优化中央处理器（CPU）、图形处理器（GPU）、神经处理单元（NPU）和连接硬件，旨在跨多种形态提供一致的AI性能和连接性。
骁龙8 Elite Gen 5 for Galaxy是高通的旗舰芯片组，基于高通Oryon CPU构建，支持高效运行和复杂的端侧AI处理。它集成了智能相机功能、优化的游戏图形，以及AI驱动的5G和Wi-Fi连接。高通还表示，该平台结合了Oryon CPU、Adreno GPU和Hexagon NPU，为Galaxy设备提供更个性化的端侧AI功能。
该平台支持最高8K分辨率、60帧每秒的视频播放，以及AV1和H.265编解码器，有助于优化高分辨率媒体播放时的功耗。
向可穿戴设备和XR设备的扩展也日益明显。过去，智能手表和增强现实眼镜主要作为配套设备，收集心率、睡眠模式和步数等数据，然后发送到智能手机进行处理。AI功能也常常依赖云服务器，导致响应延迟、持续连接要求和隐私问题等限制。
端侧AI的进步正在迅速解决这些缺陷。配备基于Hexagon NPU的AI处理设备现在可以实时处理复杂工作负载。用于Galaxy Watch9和Galaxy Watch Ultra2的骁龙Wear Elite平台通过先进的多传感器融合技术监测用户的生物信号和周围环境。
第一代骁龙AR1平台专为智能眼镜设计，强调超轻量化和低功耗设计。其封装尺寸已缩小以适应眼镜框。它不处理计算密集型的3D图形，而是针对基于摄像头的视觉识别、实时翻译、抬头显示（HUD）数据呈现和端侧AI语音交互进行了优化——在极轻量化的形态中最大化能效。
“高端移动市场的战场正从单个设备规格的竞争转向端侧AI生态系统的完整性，该生态系统将智能手机、智能手表、智能眼镜和PC连接在一起，”一位行业消息人士表示。
Qualcomm's Snapdragon brand, which began as a smartphone mobile application processor (AP) platform, is expanding into a multi-device artificial intelligence (AI) platform spanning PCs, wearables, vehicles and extended-reality (XR) devices.
According to Qualcomm's own survey released on the 4th, 61% of South Korean consumers view Snapdragon as a key factor in improving the premium Android experience. As the on-device AI era gains momentum, demand is growing not only for raw processing power but also for intelligent, integrated experiences that recognize user context and connect multiple devices seamlessly.
Qualcomm highlighted this ecosystem-expansion strategy at Galaxy Unpacked 2026, held on July 22. Samsung's new Galaxy lineup featured the Snapdragon 8 Elite Gen 5 for Galaxy for smartphones, Snapdragon Wear Elite for wearables, and the first-generation Snapdragon AR1 platform for smart glasses.
More than 3.5 billion Snapdragon-powered devices are now in use worldwide. Qualcomm has continued to pursue a platform strategy that optimizes central processing units (CPUs), graphics processing units (GPUs), neural processing units (NPUs) and connectivity hardware at the system level, aiming to deliver consistent AI performance and connectivity across a range of form factors.
The Snapdragon 8 Elite Gen 5 for Galaxy, Qualcomm's flagship chipset, is built around the Qualcomm Oryon CPU and supports power-efficient operation and sophisticated on-device AI processing. It incorporates intelligent camera capabilities, optimized gaming graphics, and AI-driven 5G and Wi-Fi connectivity. Qualcomm also says the platform combines its Oryon CPU, Adreno GPU and Hexagon NPU to enable more personalized on-device AI features for Galaxy devices.
The platform supports video playback at up to 8K resolution and 60 frames per second, as well as AV1 and H.265 codecs, helping optimize power consumption during high-resolution media playback.
Expansion into wearables and XR devices is also becoming more visible. In the past, smartwatches and augmented-reality glasses primarily acted as companion devices, collecting data such as heart rate, sleep patterns and step counts before sending it to a smartphone for processing. AI functions also often relied on cloud servers, creating limitations including response delays, constant connectivity requirements and privacy concerns.
Advances in on-device AI are rapidly addressing those shortcomings. Devices equipped with Hexagon NPU-based AI processing can now handle complex workloads in real time. The Snapdragon Wear Elite platform used in the Galaxy Watch9 and Galaxy Watch Ultra2 monitors users' biometric signals and surrounding environments through advanced multi-sensor fusion technology.
The first-generation Snapdragon AR1 platform, designed for intelligent eyewear, emphasizes an ultra-lightweight and low-power design. Its package footprint has been reduced to fit within eyeglass frames. Rather than handling computationally intensive 3D graphics, it is optimized for camera-based visual recognition, real-time translation, head-up display (HUD) data presentation and on-device AI voice interaction—maximizing power efficiency in an extremely lightweight form factor.
“The battleground in the premium mobile market is shifting from a contest over individual-device specifications to the completeness of an on-device AI ecosystem that brings smartphones, smartwatches, smart glasses and PCs together,” an industry source said.