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2025年中国AI脑卒中诊断医疗器械行业概览:人机协同深化,AI将重塑脑卒中诊疗生态链
Tou Bao Yan Jiu Yuan· 2025-08-18 12:49
Investment Rating - The report does not explicitly state an investment rating for the AI stroke diagnosis medical device industry Core Insights - The demand for AI stroke diagnosis medical devices is surging due to the continuous increase in stroke incidence globally and in China, driven by aging populations and lifestyle changes [4][15][16] - The market for AI stroke diagnosis medical devices in China is projected to grow from 180 million yuan in 2022 to 610 million yuan by 2024, with a compound annual growth rate (CAGR) of 83.4% [20][22] - By 2030, the market size is expected to reach 6.36 billion yuan, indicating a CAGR of 47.6% [22] Summary by Sections Industry Overview - Stroke is defined as a sudden loss of neurological function due to brain blood circulation disorders, with AI medical devices aiding in diagnosis and treatment decisions [4][9] - The global stroke incidence has risen from 13.5 million in 2018 to 14.38 million in 2022, with a CAGR of 1.6% [16] - In China, stroke incidence increased from 4.605 million in 2018 to 5.353 million in 2022, with a CAGR of 3.8% [16] Market Demand - The increasing stroke incidence, coupled with an aging population, is driving the demand for AI stroke diagnosis medical devices [15][16] - The lifetime stroke risk for individuals over 25 years old is 24.9%, with East Asia having the highest risk at 38.8% [15] Market Size - The market for AI stroke diagnosis medical devices in China is expected to grow significantly, from 180 million yuan in 2022 to 610 million yuan in 2024, and further to 6.36 billion yuan by 2030 [20][22] Competitive Landscape - As of May 2025, 14 AI stroke diagnosis products have received approval as Class III medical devices in China, covering various indications such as intracranial hemorrhage and ischemia [37][38] - Key players include Pushang Medical, United Imaging, and Neusoft Medical, each focusing on different aspects of stroke diagnosis [38] Industry Chain Analysis - The industry chain consists of upstream raw material suppliers, midstream AI stroke diagnosis device manufacturers, and downstream distribution and sales entities [24][25] - The report emphasizes the need for companies to focus on "technology accessibility, precision medicine, and ecological collaboration" to seize market opportunities [25]