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〖亿欧智库 굥✻〳崵 孞韌넞畮雦皾剪⸉〄㾝灇瑕䫣デ2023-2024 ➉妍兰䎽 https://www.iyiou.com/research CopyrightreservedtoEOIntelligence,May 2024 湡䔶 CONTENTS 鷳錠ˋˋ〄㾝䪊䲽 01 1.1 孞韌넞畮雦皾涸㹁⛐♸䎾欽㖞兞 1.2 孞韌넞畮雦皾〄㾝䙖⸷ 1.3 孞韌雦皾〄㾝湱Ⱒ䮋䧶 1.4 孞韌雦皾♸넞畮雦皾䋑㖞瑟ꢂ⿺錞垷 峯錛ˋˋ䋑㖞畊✰呔㽷⿺馋⸷ 02 2.1 孞韌넞畮雦皾䋑㖞畊✰呔㽷鍒區 2.2 孞韌넞畮雦皾䋑㖞⟧괄鍒區 2.3 孞韌넞畮雦皾遤⚌〄㾝馋⸷ | --- | --- | --- | --- | --- | |-------|-------|-------------------|-------|-------| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | -6 -- | | | | | | | | | | | | | | | | | | | | | | | | | ...

‖亿欧智库 中国美妆科技创新应用 研究报告 亿欧智库 https://www.iyiou.com/research Copyright reserved to EO Intelligence, May 2024 亿欧智库 CONTENTS 01 | 中国美妆科技创新发展背景 1.1美妆科技的概念界定 1.2中国美妆行业的发展现状 1.3 美妆科技创新的重要性 02 | 中国美妆科技创新应用现状 2.1产品方向的美妆科技创新应用 2.2 营销方向的美妆科技创新应用 2.3生产服务方向的美妆科技创新应用 03 | 中国美妆科技创新发展趋势 3.1美妆科技创新带来的新趋势 3.2美妆科技创新带来的挑战与机遇 04 | 中国美妆科技创新挑战对策 4.1美妆科技创新的外部支持 4.2 美妆科技创新的企业建议 4.3 兰心启示录 1亿欧智库 管 Chapter 1 中国美妆科技创新发展背景 ◆ 美妆科技的概念界定 ◆ 中国美妆行业的发展现状 ◆ 美妆科技创新的重要性 概念界定：什么是美妆科技? ◆ 美妆：作用于面部的，以清洁、护理、美化、修饰为目的的彩妆或护肤产品。 ◆ 美妆科技：指将先进科技应用于美妆行业，通过技术手段 ...

‖亿欧智库 中国美妆科技创新应用 研究报告 亿欧智库 https://www.iyiou.com/research Copyright reserved to EO Intelligence, May 2024 亿欧智库 CONTENTS 01 | 中国美妆科技创新发展背景 1.1美妆科技的概念界定 1.2中国美妆行业的发展现状 1.3 美妆科技创新的重要性 02 | 中国美妆科技创新应用现状 2.1产品方向的美妆科技创新应用 2.2 营销方向的美妆科技创新应用 2.3生产服务方向的美妆科技创新应用 03 | 中国美妆科技创新发展趋势 3.1美妆科技创新带来的新趋势 3.2美妆科技创新带来的挑战与机遇 04 | 中国美妆科技创新挑战对策 4.1美妆科技创新的外部支持 4.2 美妆科技创新的企业建议 4.3 兰心启示录 1亿欧智库 管 Chapter 1 中国美妆科技创新发展背景 ◆ 美妆科技的概念界定 ◆ 中国美妆行业的发展现状 ◆ 美妆科技创新的重要性 概念界定：什么是美妆科技? ◆ 美妆：作用于面部的，以清洁、护理、美化、修饰为目的的彩妆或护肤产品。 ◆ 美妆科技：指将先进科技应用于美妆行业，通过技术手段 ...

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T Z X 習庫 动歌歌，"罗" 野志志 2024 北京国际年展展后洞察研究报告 e and services of the c 亿欧智库 https://www.iyiou.com/research Copyright reserved to EO Intelligence, May 2024 卷首语：镜映车潮，智驾未来——2024（第十八届）北京国际汽车展览会 � 2024（第十八届）北京国际汽车展览会，作为全球汽车产业的风向标，不仅映射出行业发展的脉络，更是技术革新与市场趋势的集中展示。时隔四 年，再次迎来了这场备受瞩目的盛会，它不仅承载着行业的期待，更是对未来汽车生活的一次大胆想象与探索。 3 � 传统与创新交织，电动化与智能化深度融合，营销活动引爆热点话题，强强合作让人期许，车展真实反映了汽车产业的发展现状与未来趋势，折射 出消费者对美好生活的无限向往。报告将为读者提供全面的视角，重点关注技术、新车、营销、合作、趋势等多个方面。 新车工点 合作福点 -智能化新特征 —尊界合作 营销石点 技术看点 • 智能化技术创新 趋势石点 • 新能源车型亮相 • 创新解决方案拓展 本土设计突出 一技术突破与模式创 ...

Core Insights - The report highlights the increasing demand for elderly care services in China due to the aging population, with the elderly population ratio reaching 19.86% of the total population as of 2023, leading to a growing burden on social care systems [124][110][19] - The smart elderly care industry is projected to grow significantly, with a market size of 8.2 trillion yuan in 2022, reflecting a year-on-year growth of 34.43% [102][19] - The report emphasizes the shift from heavy asset models to light asset operations in the elderly care sector, driven by changes in real estate policies and economic conditions [114][160][163] Industry Development Trends - The report outlines the evolution of the elderly care industry in China, noting the establishment of a multi-tiered care system that integrates home, community, and institutional care since 2010 [110][104] - It discusses the government's ongoing efforts to enhance the elderly care service system, with a focus on integrating technology into care services, which has been a key policy direction since 2017 [110][127] - The report identifies the lack of a unified service standard in the light asset operation model, leading to a fragmented market with various players exploring different business models [159][114] Market Demand and Service Gaps - There is a significant gap in the supply of elderly care services, with only 37.7 beds available per 1,000 elderly individuals in 2022, indicating a pressing need for innovative solutions to meet the growing demand [102][19] - The report notes that the market for family-based elderly care is still in its early stages, with a large unmet demand due to various factors, including traditional views on elderly care [132][138] - The current elderly care market is characterized by a high dependency on government welfare institutions, which cover 60-70% of services, while market-driven heavy asset models account for about 20% [129][19] Digital Transformation in Elderly Care - The report emphasizes the role of digital tools in enhancing operational efficiency and service quality in the elderly care sector, with smart technologies being crucial for adapting living environments for the elderly [150][41] - It discusses the establishment of smart elderly care city platforms that integrate various services and improve resource allocation, thereby enhancing overall service delivery [53][45] - The integration of AI and big data analytics is highlighted as a means to better match consumer needs with service capabilities, facilitating a more efficient elderly care ecosystem [174][150] Operational Models and Challenges - The report outlines the characteristics of heavy asset and light asset operational models in the elderly care industry, noting that heavy asset models are becoming less viable due to high costs and long return periods [163][114] - Light asset operations are seen as a more sustainable approach, but they face challenges such as the lack of standardized services and the need for better coordination among various stakeholders [159][114] - The report indicates that the elderly care ecosystem is still developing, with significant room for improvement in coordination, operational capabilities, and service integration [115][86]

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