Surging Demand for AI Glasses: MEMSIC’s AMR Magnetometers Accelerate Adoption in Mainstream End Devices

AI glasses have emerged as a compelling new focal point in the smart wearable landscape.

New-generation products exemplified by Alibaba Quark AI Glasses have driven the industry forward from concept validation toward commercialization since their launch in 2025. As large language model capabilities continue to penetrate edge devices, AI glasses are regarded as the most promising next-generation intelligent interaction portal following smartphones.

Compared with traditional smart glasses, the new breed of AI glasses is not limited to display and camera functions. They need to process complex tasks in real time, including voice interaction, navigation guidance, environmental perception, visual recognition and spatial computing, imposing higher requirements on the overall hardware architecture.

From an industrial chain perspective, competition in AI glasses lies not only in processors, display modules and large-model capabilities, but also in a cohort of previously behind-the-scenes critical sensors that are unlocking new growth opportunities. The magnetometer stands out as one of the most representative beneficiaries.

AI Glasses Fuel Upgrades in Spatial Perception and Reshape Magnetometer Demand

The development of today’s AI glasses is evolving from “being able to see” to “being able to understand what is seen”.

Whether for navigation guidance, AR information overlay, head pose tracking, or future spatial computing applications, the device must continuously capture the wearer’s position and orientation. In this context, the electronic compass (eCompass) serves as a foundational capability, and the magnetometer acts as its core component.

By detecting the direction of the Earth’s magnetic field, the magnetometer provides heading information for the system. Fused with MEMS sensors such as accelerometers and gyroscopes, it enables precise orientation recognition and pose tracking. For navigation, the magnetometer tells the system which direction the device is facing; for spatial computing, it establishes the directional reference frame.

AI glasses impose far more stringent requirements on magnetometers compared with smartphones.

On one hand, the ultra-compact internal space of glasses demands continuous miniaturization of all components. On the other hand, the high integration of AI SoCs, camera modules and wireless communication chips creates significant localized temperature rises, while complex electromagnetic environments readily interfere with magnetic field measurements. Furthermore, AI glasses are highly sensitive to battery life, making system power optimization a key objective for hardware design.

This means conventional magnetometer designs can hardly fully satisfy AI glass requirements. The market is placing greater emphasis on comprehensive sensor performance across dimensions including form factor, temperature drift, noise, hysteresis and power consumption.

AMR Technology Shines as a Key Enabler for Electronic Compasses

Major magnetic sensing technologies available on the market include Hall, fluxgate, AMR (Anisotropic Magnetoresistance), GMR (Giant Magnetoresistance) and TMR (Tunneling Magnetoresistance).

AMR represents one of the earlier commercially mature magnetic sensing solutions widely adopted in consumer electronics. Its working principle relies on resistance changes in magnetoresistive materials induced by magnetic field variations; magnetic field measurement is realized by detecting these resistance fluctuations.

AMR delivers higher sensitivity and lower noise versus Hall-effect solutions. Compared with fluxgate sensors, it features smaller size and lower power draw. It also demonstrates clear advantages in key metrics such as temperature drift, hysteresis and remanence, which explains its long-standing deployment in smartphones, wearables and electronic compasses.

As AI glasses demand ever higher precision in orientation sensing, the strengths of AMR technology become even more pronounced.

First, AI glasses experience substantial internal temperature fluctuations. Heat generated by high-performance processors can easily introduce offset drift in magnetic sensors. AMR exhibits excellent zero-bias temperature drift performance, maintaining stable output under temperature variations and reducing the frequency of system calibration.

Second, navigation and spatial computing require fast system response to head movement. AMR sensors offer high bandwidth and low noise, delivering fast response alongside robust measurement stability.

In addition, smart glasses house numerous speakers, wireless antennas and metallic structural parts, creating a complex magnetic interference environment. AMR inherently features low hysteresis and low remanence. After exposure to strong magnetic shocks, it can rapidly restore measurement accuracy and avoid heading drift. With combined strengths in precision, stability and response speed, AMR has become one of the primary technical routes for electronic compasses in AI glasses.

Notably, advances in CMOS-AMR process integration and the adoption of wafer-level packaging (WLP) further enhance AMR sensors. Beyond low temperature drift, low noise and low hysteresis, AMR sensors continue to be optimized in size, power consumption and cost, laying the groundwork for large-scale adoption in next-gen smart terminals such as AI glasses.

MEMSIC’s AMR Magnetometers Speed Up Penetration into Mainstream Terminals, Holding 40% Market Share in Smart Devices

As one of China’s early pioneers in AMR magnetic sensors, MEMSIC has long focused on the R&D of high-performance magnetic sensors. Its AMR-based magnetometers are widely deployed in smartphones, wearables and IoT devices, with a solid foundation of mass adoption in consumer electronics.

As AI terminals evolve toward spatial computing and multimodal interaction, emerging form factors like AI glasses raise the bar for orientation sensing precision, response speed and system power efficiency. Against this backdrop, MEMSIC’s AMR magnetometers demonstrate strong suitability.

Powered by wafer-level packaging, MEMSIC’s AMR magnetometer comes in a tiny 0.8×0.8×0.4 mm³ package. The compact footprint enables high integration within constrained spaces and meets the lightweight design requirements of smart glasses. Benefiting from AMR’s inherent low noise, low hysteresis, low remanence and superior zero-bias temperature drift characteristics, its zero-bias temperature drift can reach as low as ±0.2 mG/°C. The sensor sustains stable output under fluctuating temperatures and complex electromagnetic environments, supplying reliable data for navigation, orientation sensing and spatial computing applications.

Moreover, MEMSIC’s AMR magnetometers feature high bandwidth and low power consumption. The output data rate (ODR) peaks at 1000 Hz, enabling fast response to magnetic field changes and improving real-time head motion tracking. To meet the demands of new-generation AI platforms, selected products support low-voltage interfaces, I3C bus and FIFO buffer designs. These features help cut system power consumption and reduce the load on host MCUs, supporting longer battery life for end products.

Drawing upon decades of expertise in AMR magnetic sensing and mass deployment in consumer electronics, MEMSIC has built a robust system for product consistency, reliability and mass production. Its AMR magnetometers enjoy broad customer coverage across global smart devices, capturing a 40% market share, with continuous penetration in mainstream applications including smartphones and wearables.

Looking ahead, the AI glasses market will keep expanding, and new terminals will continue to roll out. Spatial perception is emerging as one of the core capabilities defining next-generation smart devices. AMR magnetometers featuring high precision, low power and small form factors are poised for a new wave of growth. Domestic MEMS sensor manufacturers represented by MEMSIC will play an increasingly critical role amid the upgrade of AI-enabled end devices.