CEM(SZ:002980) Cai Fu Zai Xian·2025-05-29 01:12Core Viewpoint - The launch of the HX-660 dual-level non-invasive ventilator by Huashengchang aims to address the growing demand for home medical devices, particularly for individuals suffering from sleep apnea and hypoventilation syndrome, leveraging advanced smart technology to enhance respiratory function and improve sleep quality [1][3]. Product Features - The HX-660 ventilator is designed with intelligent dual-pressure adjustment technology, which controls and regulates physiological breathing, making it suitable for complex respiratory issues [1][3]. - It includes built-in data tracking capabilities, allowing users to monitor sleep quality and automatically switch between various smart modes to optimize pressure support in real-time [1][5]. - The device features multiple sensors for dynamic pressure adjustment, real-time leak detection, and pressure compensation, enhancing user comfort [5]. Market Potential - The global home non-invasive ventilator market is projected to reach $5.577 billion by 2025, with a compound annual growth rate (CAGR) of 15.5% from 2020 to 2025 [3]. - The Chinese market for home non-invasive ventilators is expected to grow to 3.33 billion yuan by 2025, with a CAGR of 22.0% from 2021 to 2025, indicating a faster growth rate than the global market [3]. - Approximately 176 million people in China suffer from obstructive sleep apnea, presenting a significant opportunity for home ventilators, which currently have a penetration rate of less than 1% [3]. Strategic Positioning - Huashengchang is actively expanding its "AI + Medical" product line, capitalizing on the rapid growth of the home medical device market in China, which is expected to exceed 300 billion yuan by 2026 [7]. - The company utilizes AI technology to enhance the sensitivity and accuracy of measuring key physiological parameters, enabling adaptive adjustments based on user characteristics [8]. - The integration of AI allows for the generation of multi-dimensional analysis reports, transforming raw data into visual trend maps and warning indicators, thus promoting proactive health management [8].