中国智慧养老行业研究报告

Core Viewpoint - The Chinese smart elderly care industry is transitioning from "pilot projects" to "full-scale penetration" and from "technology stacking" to "ecosystem integration" due to the intersection of population aging and digital transformation [1][2][3] Industry Background - By the end of 2024, the population aged 60 and above in China is expected to exceed 310 million, accounting for 22.0% of the total population, highlighting the challenges faced by traditional elderly care models [3][5] - Factors such as changes in family structure, the upgrading of elderly consumer needs, and increased acceptance of digital technology are driving the development of the smart elderly care industry [5][22] - Technological innovations are reshaping the elderly care service ecosystem, pushing the industry towards precision, personalization, and efficiency [5][24] Industry Status - Smart elderly care has developed technical solutions covering home, community, and institutional settings, with a competitive landscape featuring comprehensive solution providers, vertical technology companies, and traditional elderly care enterprises [5][34] - Challenges such as data silos, insufficient technology adaptation for the elderly, and immature business models remain significant pain points for industry development [5][40] Research Outlook - Demand-side trends indicate a shift from survival-oriented elderly care to quality-oriented elderly care, while supply-side trends show a movement towards a full-cycle service ecosystem [6][42] - The industry is expected to evolve into a more collaborative ecosystem, integrating value loops and diverse cooperation [6][48] Social Demand Driving Development - The smart elderly care industry is experiencing accelerated growth due to multiple demand-side drivers, including changes in family structures and a growing need for quality life among the elderly [22][24] - The demand for digital tools in healthcare is surging, with internet medical users expected to grow from 215 million in 2020 to 418 million by 2024, further integrating smart elderly care with medical services [22] Technological Applications - The integration of AI, IoT, big data, and cloud computing is reconstructing the elderly care service model, transitioning from passive care to proactive prevention and from standardized supply to personalized care [24][25] - The technology framework includes a perception layer, network layer, platform layer, application layer, and user layer, facilitating comprehensive service delivery [31] Major Players and Business Models - The industry features three main types of players: comprehensive solution providers, vertical technology companies, and traditional elderly care enterprises, each with distinct strengths and business models [34][36] - Comprehensive solution providers focus on integrating technology and services, while vertical companies specialize in specific technologies, and traditional enterprises leverage offline resources for service upgrades [34][36] Regional Development Patterns - The smart elderly care industry exhibits a pattern of "strong east, weak west," with eastern regions leveraging economic and policy advantages to build comprehensive ecosystems [37] - Collaboration among regions is essential to narrow the gap and establish a unified national smart elderly care framework [37] Development Challenges - The industry faces systemic challenges including data isolation, collaboration deficiencies, technology adaptation issues, commercialization hurdles, and regulatory gaps [40] - Addressing these challenges requires unified data standards, enhanced collaboration among industry players, and the exploration of sustainable business models [40]