2025年AI精准医疗市场专题分析

Investment Rating - The report rates the AI precision medicine industry as having a positive investment outlook, with significant growth potential driven by technological advancements and policy support [10][39]. Core Insights - AI precision medicine is transforming healthcare from experience-based to data-driven approaches, emphasizing personalized treatment through genetic testing and big data [9][10]. - The market for AI precision medicine is expected to grow rapidly, with projections indicating a market size of 351 billion RMB by 2024 and 760 billion RMB by 2028, reflecting a compound annual growth rate (CAGR) of 21.49% [39]. - The integration of AI technologies into healthcare is enhancing diagnostic accuracy, treatment efficiency, and patient experience, addressing the challenges of uneven resource distribution in the healthcare system [17][40]. Summary by Sections Evolution of AI Precision Medicine - The evolution of AI precision medicine has progressed from research achievements to clinical applications, with significant advancements in technology and policy frameworks supporting this transition [8][9]. Policy Support - Policies are driving the development of a comprehensive and accessible precision medicine framework, enhancing regulatory systems and approval processes to facilitate the integration of AI in healthcare [10][11]. Market Trends - The AI precision medicine market is expanding rapidly, with a projected CAGR of 19.8% from 2022 to 2024 and 21.49% from 2024 to 2028, indicating strong growth potential [37][39]. Technological Advancements - AI technologies are significantly improving diagnostic capabilities, with advancements in multi-modal data integration and real-time health monitoring enhancing patient care and treatment outcomes [26][71]. Application Scenarios - AI is being applied in various healthcare settings, including personalized treatment plans, early disease detection, and long-term health management, thereby transforming traditional healthcare models [43][40]. Industry Collaboration - The report highlights the importance of collaboration across the healthcare ecosystem, leveraging data and AI to create a more integrated and efficient healthcare delivery system [78][79].