Core Viewpoint - The Chinese smart elderly care industry is transitioning from "partial pilot" to "full penetration" and from "technology stacking" to "ecological 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 will exceed 310 million, accounting for 22.0% of the total population, highlighting the urgent challenges faced by traditional elderly care models [3][5] - Factors such as changes in family structure, upgrading consumption among the elderly, 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][39] 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 smart elderly care industry is expected to evolve into a high-quality development phase characterized by large-scale supply, ecological collaboration, and a focus on value realization [6][45][48] Social Demand Driving Development - The smart elderly care industry is experiencing accelerated growth due to multiple demand-side drivers, including changes in family structure and a growing demand for quality life among the elderly [22][24] - The integration of smart elderly care with medical services is being propelled by the increasing demand for digital tools such as online consultations and remote monitoring [22] Technological Applications - The integration of AI, IoT, big data, and cloud computing is reconstructing the elderly care service model, addressing issues such as labor shortages and safety guarantees [24][25] - The technology-driven approach aims to shift elderly care from passive responses to proactive prevention, enhancing the quality of independent living for the elderly while reducing social care costs [24][25] Major Players and Business Models - The smart elderly care industry features three main types of players: comprehensive solution providers, vertical technology companies, and traditional elderly care enterprises, each with distinct competitive advantages [34][36] - Comprehensive solution providers focus on integrating technology and services, while vertical companies specialize in specific technological breakthroughs, and traditional enterprises leverage offline resources for service upgrades [34][36] Regional Development Patterns - The smart elderly care industry in China exhibits a pattern of "strong east, weak west," with eastern regions leveraging economic, policy, and technological advantages to build a comprehensive ecosystem [37] - Collaboration among regions is essential to narrow the gap and establish a unified national smart elderly care framework [37] Development Challenges - Despite the growth driven by policies, technology, and market forces, the smart elderly care industry faces systemic challenges such as data barriers, collaboration issues, and regulatory gaps [40][39] - Addressing these challenges requires unified data standards, enhanced collaboration among industry players, and the development of sustainable business models [40]
中国智慧养老行业研究报告
艾瑞咨询·2025-12-25 00:05