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AR/VR SoCs Surge, New Edge Silicon Emerges – Tech Developments Reported on October 15, 2025

October 15, 2025 – Today’s tech landscape is marked by significant developments across augmented reality/virtual reality (AR/VR), the Internet of Things (IoT), and edge computing. Key reports and announcements highlight accelerating growth in specific sectors and a renewed focus on optimizing processing power at the network edge. This report details the most significant updates as of today’s date.

AR/VR System on Chip (SoC) Market Poised for Explosive Growth

According to a recent report released by Global Info Research, the AR/VR System on Chip (SoC) market is experiencing a period of rapid expansion. The report projects a substantial increase in market size, forecasting a jump from $716 million in 2024 to a projected $3.035 billion by 2031. This represents a Compound Annual Growth Rate (CAGR) of 23.2%. The report identifies key players driving this growth, including Qualcomm, MediaTek, Rockchip, and Allwinner Technology. The research covers detailed market size analysis, sales figures, pricing trends, and the technological innovations fueling this expansion. Specifically, the report notes increasing demand for SoCs capable of handling the complex processing requirements of high-resolution AR/VR experiences, including real-time rendering, advanced tracking, and low-latency communication. The report’s methodology relies on a combination of market surveys, supply chain analysis, and expert interviews within the semiconductor industry. [1]

Demand for Specialized Edge Silicon for IoT Devices Intensifies

Alongside the growth in AR/VR SoCs, a critical need for new silicon specifically designed for IoT edge devices is becoming increasingly apparent. Synaptics published insights emphasizing this requirement, highlighting the expanding capabilities demanded by devices such as AR/VR headsets, smart displays, and media boxes. These devices are no longer simply passive consumers of content; they require efficient, multi-modal edge processing to enhance their functionality and responsiveness. The report stresses the importance of silicon optimized for tasks like real-time object recognition, advanced audio processing, and localized content streaming – all crucial for delivering seamless user experiences. The drive towards edge computing is fundamentally changing the design philosophy for IoT devices, shifting the focus from centralized cloud processing to distributed intelligence closer to the point of data generation. This trend is particularly pronounced in sectors like entertainment, retail, and industrial automation, where low latency and data privacy are paramount. [2][3]

Hands-Free VR/AR Interface – University of Michigan Researchers Introduce Digital Voice Control

Researchers at the University of Michigan have unveiled a novel digital, voice-controlled hand interface designed to facilitate hands-free operation within virtual and augmented reality systems. This innovation represents a significant step towards improving VR/AR accessibility and user convenience. The system utilizes voice commands to translate user gestures into control signals, eliminating the need for physical hand movement within the virtual environment. This addresses a longstanding challenge in VR/AR design – the inherent awkwardness and potential for motion sickness associated with traditional hand controllers. The technology leverages advanced speech recognition algorithms and sophisticated sensor fusion to accurately interpret user intent, even in dynamic and complex VR/AR scenarios. Initial demonstrations showcased the system’s ability to control object manipulation, navigation, and interaction within a simulated environment. The research team is currently focused on refining the system’s accuracy and expanding its range of supported gestures. [4]

AMD Unveils OpenVX 2 at Embedded Vision Summit

At the 2025 Embedded Vision Summit, AMD staff engineer Kiriti Nagesh Gowda presented OpenVX 2. While specific details regarding the new version remain limited at this time, the announcement underscores the ongoing evolution of OpenVX, a software library designed to accelerate computer vision and machine learning applications on embedded devices. OpenVX 2 is expected to offer improved performance and efficiency for tasks such as image processing, video analytics, and object recognition – all critical components of edge computing solutions. The presentation highlighted OpenVX 2’s potential to streamline the development process for vision-based applications, reducing time-to-market and lowering development costs. Further information regarding the technical specifications and features of OpenVX 2 is expected to be released in the coming weeks.

Summary of Developments – October 15, 2025

Today’s tech news is dominated by growth projections for the AR/VR SoC market, driven by a CAGR of 23.2% and a projected market size of $3.035 billion by 2031. Alongside this, the need for specialized silicon tailored for IoT edge devices is gaining significant traction, highlighted by Synaptics’ insights and the unveiling of OpenVX 2 by AMD. Finally, researchers at the University of Michigan have introduced a hands-free VR/AR interface utilizing voice control, representing a potential breakthrough in accessibility and user experience. These developments collectively indicate a continued shift towards distributed computing and intelligent devices operating at the network edge.

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