Core Insights - The voice coil motor (VCM) market in China is projected to reach approximately 2.231 billion yuan in 2024, reflecting a year-on-year growth of 9.52% driven by the increasing demand in various sectors such as smartphones, industrial automation, and medical devices [1][9][10]. Industry Overview - VCM operates based on the Lorentz force principle, converting electrical energy directly into linear mechanical energy without the need for gears or screws, making it suitable for high-precision positioning and rapid linear motion [2][4]. - The VCM technology encompasses three main types: linear, swing, and multi-axis, each designed for specific applications ranging from autofocus in cameras to complex movements in semiconductor equipment [4][5]. Industry Supply Chain - The upstream supply chain includes raw materials such as magnetic materials, coil materials, and electronic components, while the midstream focuses on the manufacturing of VCMs, and the downstream applications span consumer electronics, automotive electronics, and medical devices [6]. Key Components - The core components of VCM include the permanent magnet assembly, the moving coil, and the guiding mechanism, which collectively ensure rapid response and precise control [7][8]. Market Dynamics - The demand for VCMs in smartphones is expected to remain stable, with the number of VCMs per device increasing from 2-3 to 5-8 due to the trend of multi-camera setups and higher pixel counts [9]. - The penetration of high-end smartphone models is driving the increase in VCM prices and profit margins [9]. Key Companies - Shenzhen Xinyi Chang focuses on semiconductor equipment and has achieved over 90% yield in its VCM applications, while Jiangsu Leili specializes in medical and automotive applications, with its VCMs being used in ventilators and laser radars [10][11]. Industry Trends 1. The application of new materials, such as high-temperature superconducting coils and neodymium iron nitrogen magnets, is reshaping performance boundaries and cost structures, particularly in high-demand sectors like automotive and medical [12]. 2. The integration of AI algorithms and edge computing is transitioning VCMs from passive execution to autonomous decision-making, leading to new business models that combine hardware and software services [13]. 3. The trend towards multi-dimensional integration is transforming VCMs from standard components to comprehensive system solutions, enhancing product value and profit margins [14][15].