Wearable Motion Sensors Market - Growth, Trends, Covid-19 Impact, and Forecasts (2023 - 2028)
The Wearable Motion Sensors Market is expected to register a CAGR of 47.2% during the forecast period. Wearable products are expected to deliver valuable services to the owners to help drive a better lifestyle. Specifically, the wrist-worn wearable market requires OEMs to provide wellness and fitness-related services, a key reason the market traction for these devices is increasing quickly. Wearable devices with embedded motion sensors are used to enrich user experience in health and fitness by tracking an individual's physical activities, such as walking, running, and cycling.
Key HighlightsThe Wearable Motion Sensors Market is very competitive in nature. The market is highly concentrated due to the presence of various small and large players. All the major players account for a large share of the market and are focusing on expanding their consumer base across the world. Some of the significant players in the market are Panasonic Industry Co., Ltd., Texas Instruments Incorporated, Analog Devices, Inc., General Electric, Samsung Electronics Co. Ltd, TDK Corporation, Infineon Technologies AG, NXP Semiconductors, and many more. The companies are increasing the market share by forming multiple partnerships and investing in introducing new products, earning a competitive edge during the forecast period.
In September 2022, analog devices and HSU researchers collaborated on a wearable device for seizure detection. Study participants wore the watch on their wrist, where multimodal sensors such as an accelerometer, thermometer, a sensor to measure electrical changes in the skin, and additional biometric sensors, recorded physiological data in real-time. The researchers tested whether the watch could correlate the data to the EEG measurements to determine the presence of focal to bilateral tonic-clonic seizures. The project's long-term goal is to build machine learning algorithms to better identify a patient's seizures and eventually develop predictive software for the watch that will warn individuals (and caregivers and families) about a forthcoming seizure.
In May 2022, Qeexo, the developer of the Qeexo AutoML, collaborated with Bosch Sensortec GmbH, a technology leader in MEMS sensing solutions, and announced that machine learning algorithms created using Qeexo's AutoML can now be deployed on Arduino Nicla Sense ME with Bosch BHI260AP and BME688 sensors. Using the Qeexo AutoML, Machine Learning (ML) models that would otherwise run on the host processor–can be deployed in and executed by BHI260AP and BME688. For instance, they can monitor environmental parameters, including humidity and Air Quality Index (AQI), and capture information embedded in motion, such as person-down systems to fitness apps that check posture. These devices have a longer time between charges and provide actionable information.
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