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人工智慧驱动的老年护理解决方案的全球市场：预测（2023-2028）
市场调查报告书
商品编码
1410109

人工智慧驱动的老年护理解决方案的全球市场：预测（2023-2028）

AI-Powered Solutions For Elderly Care Market - Forecasts from 2023 to 2028
出版日期: | 出版商: Knowledge Sourcing Intelligence | 英文 146 Pages | 商品交期: 最快1-2个工作天内

价格
简介目录

预计2021年全球人工智慧养老解决方案市场规模将达7.195亿美元。

随着人工智慧技术改变养老领域，基于人工智慧的养老解决方案市场正在迅速扩大。随着世界人口持续老化，越来越需要新的解决方案来应对老年人面临的挑战。远端健康监测、跌倒检测、认知支援、处方笺管理和社交陪伴都可以透过人工智慧驱动的解决方案实现。这些技术利用机器学习、自然语言处理和电脑视觉为老年人提供个人化、主动的护理。人工智慧演算法分析来自穿戴式装置、感测器等的资料，以发现趋势、预测健康风险并实现早期治疗。拥抱人工智慧驱动的老年护理解决方案市场对于改善老龄化社会中老年人的生活品质、培养独立性和确保老年人的福祉具有广阔的前景。

人口老化和人工智慧养老解决方案市场对养老的需求不断增加。

人口老化和老年人照护需求的成长是人工智慧养老解决方案市场的主要成长动力。据世界卫生组织 (WHO) 称，到 2050 年，全球 60 岁及以上的人口预计将从 2015 年的 9 亿增加一倍，达到 20 亿。这种人口结构的变化对满足老年人独特需求的创意解决方案产生了巨大的需求。预期寿命的延长和独立生活的愿望推动了对人工智慧解决方案的需求，这些解决方案可以提供个人化、主动的护理，以解决人口老化所面临的问题。

对个人化主动护理的需求正在推动人工智慧驱动的老年护理解决方案市场的成长。

在人工智慧驱动的老年护理解决方案市场中，对个人化主动护理的需求正在增加。根据《医学互联网研究杂誌》发表的一项研究，个人化护理干预措施可以改善老年人的健康状况和福祉。人工智慧技术可以收集和分析大量资料，例如病历、感测器资料和生活方式信息，以创建个人化护理计划。此外，主动护理强调预防措施和健康问题的早期诊断。对个人化主动护理的渴望正在推动人工智慧解决方案的使用，这些解决方案可以根据个人需求量身定制干预措施，并实现早期疗育以改善老年人的治疗结果。

物联网和连网型设备在老年护理领域的整合将扩大人工智慧老年护理解决方案的市场规模。

在人工智慧驱动的老年护理解决方案市场中，物联网和连接设备的整合是一个关键的成长要素。物联网和互联设备在老年护理领域提供了多种应用和优势。例如，穿戴式感测器、智慧家庭系统和远端监控设备提供即时资料收集和处理。透过整合这些设备，看护者和医疗保健提供者可以远端监控生命征象、活动水平、用药医嘱遵从性，并识别跌倒和紧急情况。各种设备和人工智慧平台的无缝整合可确保老年人的安全、福祉和生活品质的提高，从而实现个人化的主动护理。在老年护理中使用物联网和连网型设备可以提高远端监控能力，实现健康状况的早期诊断并实现及时治疗，从而改善整体老年护理体验。

北美是人工智慧老年护理解决方案市场的领导者。

北美已成为人工智慧老年护理解决方案市场的领导者。该地区的重要性归因于几个因素。北美拥有技术先进的医疗保健系统和人口老化，增加了对新型老年护理解决方案的需求。该地区受益于大量的政府资助、强大的研发活动以及科技公司和医疗机构之间的合作。此外，北美已经建立了穿戴式装置、远端监控系统和人工智慧平台的市场，使得人工智慧解决方案更容易整合到老年护理中。然而，值得注意的是，人工智慧驱动的老年护理解决方案市场的成长正在迅速开拓，欧洲和亚太地区等其他地区也在该行业取得了重大进展。

利用人工智慧解决养老解决方案市场中看护者短缺和老化的挑战。

在人工智慧养老解决方案市场，解决看护者短缺和老化问题是重要的成长动力。世界卫生组织 (WHO) 估计，到 2030 年，全球包括看护者在内的卫生工作者短缺人数将达到 1,000 万人。此外，老年人越来越渴望“就地养老”，或继续住在自己的家里。提供远端监控、虚拟护理和辅助技术的人工智慧解决方案可以帮助弥合这一差距。 《老龄与健康杂誌》发表的一项研究表明，在老年人护理中使用人工智慧和机器人可以减轻看护者的负担，并就地改善他们的退休生活。这些技术可以协助日常业务、药物管理、跌倒检测等，促进独立性并减少对人类照护人员的依赖。

主要进展：

2022 年4 月CarePredict 是一家拥有173 年历史的非营利公司，最近荣获Argentum Best of The Best 奖，是一家领先的数位健康公司，旨在满足老年人生活的需求。该公司宣布与Maple Knoll Communities , Inc. 建立合作伙伴关係。 Maple Knoll 拥有并经营两个持续护理退休社区 (CCRC)。 Maple Knoll 推出了 CarePredict，这是一种透过预防性治疗来改善治疗结果的尖端工具。 CarePredict 将作为单一平台安装在 Maple Knoll Village，该村位于俄亥俄州辛辛那提，占地 54 英亩，拥有约 400 个独立生活、辅助生活、记忆护理和熟练护理单位。 2023 年 7 月，毕马威和微软将在多个关键业务领域重新推出专业服务，包括劳动力现代化、安全可靠的开发，以及为客户、行业和整个社会利用人工智慧 (AI) 解决方案。扩大全球合作，定义

企业产品

  • Tempo： Tempo 是一款穿戴式设备，配备高性能感测器，可监控老年人的日常活动和行为模式。使用人工智慧演算法，Tempo 可以识别健康问题、跌倒、睡眠习惯的变化以及与正常作息的偏差。为看护者和家庭提供即时见解，实现早期回应并鼓励预防性护理。
  • Microsoft Health Bot：这个人工智慧驱动的聊天机器人为老年人及其看护者提供个人化的互动式协助。提供健康相关资讯、处方笺提醒和预约安排协助。 Health Bot 使用自然语言处理来理解您的问题和疑虑，并及时回覆相关资讯。
  • ABBability™护理之家解决方案：这套完整的系统结合了多种技术和人工智慧演算法，为老年人提供远端监控、预测分析和个人化护理。它结合了智慧感测器、穿戴式装置和人工智慧分析，可以侦测跌倒、追踪活动量并即时提醒看护者。
  • ABBability(TM) Genix： Genix是一个人工智慧驱动的平台，它使用机器学习技术来分析来自高级护理环境中连接设备和感测器的资料。它提供预测性维护、能源优化和提高的营运效率，以确保为老年人提供安全舒适的环境。

目录

第一章简介

  • 市场概况
  • 市场定义
  • 调查范围
  • 市场区隔
  • 货币
  • 先决条件
  • 基准年和预测年时间表

第二章调查方法

  • 调查资料
  • 资讯来源
  • 研究设计

第三章执行摘要

  • 研究亮点

第四章市场动态

  • 市场驱动因素
  • 市场抑制因素
  • 波特五力分析
    • 供应商的议价能力
    • 买方议价能力
    • 新进入者的威胁
    • 替代品的威胁
    • 业内竞争对手之间的对抗关係
  • 产业价值链分析

第五章人工智慧养老解决方案市场：依技术分类

  • 介绍
  • 机器学习
  • 自然语言处理（NLP）
  • 机器人技术
  • 电脑视觉
  • 其他的

第六章人工智慧养老解决方案市场：按应用分类

  • 介绍
  • 跌倒侦测/预防
  • 远端监控/医疗保健
  • 个性化虚拟助理
  • 用药管理
  • 社交互动/友谊
  • 其他的

第七章 使用人工智慧的老年护理解决方案市场：按最终用户分类

  • 介绍
  • 居家照护
  • 福利设施
  • 疗养院
  • 医院/诊所
  • 其他的

第八章人工智慧养老解决方案市场：按地区划分

  • 介绍
  • 北美洲
    • 美国
    • 加拿大
    • 墨西哥
  • 南美洲
    • 巴西
    • 阿根廷
    • 其他的
  • 欧洲
    • 英国
    • 德国
    • 法国
    • 义大利
    • 西班牙
    • 其他的
  • 中东/非洲
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 其他的
  • 亚太地区
    • 日本
    • 中国
    • 印度
    • 韩国
    • 印尼
    • 台湾
    • 其他的

第九章竞争环境及分析

  • 主要企业及策略分析
  • 新兴企业和市场盈利
  • 合併、收购、协议和合作
  • 供应商竞争力矩阵

第十章 公司简介

  • CarePredict
  • Sensible Medical
  • Zanthion
  • E-Vone
  • Intuition Robotics
  • Aiva Health
  • K4Connect
  • ElliQ
  • Catalia Health
  • GrandCare Systems
简介目录
Product Code: KSI061615775

The AI-powered solutions for the elderly care market was valued at US$719.5 million in 2021.

The AI-powered solutions for the elderly care market are expanding rapidly as artificial intelligence technologies transform the field of senior care. With the world population increasingly ageing, there is an increasing demand for new solutions that meet the difficulties that seniors encounter. Remote health monitoring, fall detection, cognitive help, prescription management, and social companionship are all possible with AI-powered solutions. These technologies use machine learning, natural language processing, and computer vision to give older people personalised and proactive care. AI algorithms can spot trends, anticipate health hazards, and allow early treatments by analysing data from wearable devices, sensors, and other sources. The incorporation of AI-powered solutions for elderly care market has enormous promise for enhancing quality of life, fostering independent living, and assuring the well-being of elders in an ageing society.

Aging Population and Increasing Demand for Elderly Care in the AI-Powered Solutions for Elderly Care Market.

The ageing population and rising need for senior care are important growth drivers in the market for AI-Powered Solutions for Senior Care. According to the World Health Organisation, the worldwide population of people aged 60 and more is predicted to double to 2 billion by 2050, up from 900 million in 2015. Because of this demographic transition, there is a tremendous demand for creative solutions that address the specific demands of seniors. The rising life expectancy and desire for independent living add to the demand for AI-powered solutions that can deliver personalised and proactive care to solve the issues that the ageing population faces.

Need for Personalized and Proactive Care Enhances the AI-Powered Solutions for Elderly Care Market Growth.

In the AI-Powered Solutions for Elderly Care market, there is a growing demand for personalised and proactive care. According to research published in the Journal of Medical Internet Research, personalised care interventions improve the health outcomes and well-being of seniors. AI technologies allow for the collection and analysis of massive volumes of data, such as medical records, sensor data, and lifestyle information, in order to build personalised care plans. Furthermore, proactive care emphasises preventative measures and early diagnosis of health disorders. The desire for personalised and proactive care pushes the use of AI-powered solutions that can adjust interventions to individual requirements and enable early intervention to enhance outcomes for the aged.

Integration of IoT and Connected Devices in Elderly Care Boosts the AI-Powered Solutions for Elderly Care Market Size.

In the AI-powered solutions for Elderly Care market, the integration of IoT (Internet of Things) and linked devices is a key growing factor. IoT and linked devices provide a variety of applications and benefits in the field of senior care. Wearable sensors, smart home systems, and remote monitoring devices, for example, provide real-time data gathering and processing. Carers and healthcare providers may remotely monitor vital signs, activity levels, and medication adherence, and identify falls or emergencies by integrating these devices. The seamless integration of various devices and AI-powered platforms enables personalised and proactive care, assuring safety, well-being, and increased quality of life for the elderly. The use of IoT and connected devices in aged care improves remote monitoring capabilities, allows for early diagnosis of health conditions, and allows for prompt treatments, thus enhancing the entire care experience for seniors.

North America is the Market Leader in AI-Powered Solutions for Elderly Care Market.

North America has emerged as the leader in AI-powered solutions for elderly care market. Several factors contribute to the region's significance. North America has a technologically advanced healthcare system and a large ageing population, which drives the demand for novel aged care solutions. The region benefits from significant government funding, considerable R&D activity, and cooperation between technology firms and healthcare institutions. Furthermore, North America has a well-established market for wearable devices, remote monitoring systems, and AI-powered platforms, making AI solutions easier to integrate in aged care. It is crucial to note, however, that the AI-powered solutions for elderly care market growth is fast developing, and other areas such as Europe and Asia-Pacific are also making major advancements in this industry.

Addressing Challenges in Caregiver Shortage and Aging-in-Place in AI-Powered Solutions for Elderly Care Market.

Addressing carer scarcity and aging-in-place issues is a critical growth driver in the AI-Powered Solutions for Elderly Care market. The World Health Organisation estimates that the worldwide deficit of healthcare professionals, including carers, would reach 10 million by 2030. Furthermore, there is a growing desire among seniors to age-in-place, or remain in their own homes. AI-powered solutions that provide remote monitoring, virtual caring, and assistive technology can help bridge this divide. According to research published in the Journal of Ageing and Health, the employment of AI and robots in senior care can reduce carer load and improve aging-in-place alternatives. These technologies aid with everyday tasks, medication administration, and fall detection, encouraging independence and decreasing dependency on human carers.

Key Developments:

  • In April 2022, CarePredict, a recent Argentum Best of The Best Award winner and the leading digital health company purpose-built to meet the demands of senior living, announced a partnership with Maple Knoll Communities, a 173-year-old nonprofit corporation that owns and operates two continuing care retirement communities (CCRCs). Maple Knoll is introducing CarePredict, a cutting-edge tool that will enhance outcomes by enabling preventative treatment. CarePredict was installed as a single platform at Maple Knoll Village, a 54-acre complex in Cincinnati, Ohio, with almost 400 Independent Living, Assisted Living, Memory Care, and Skilled Nursing units.
  • In July 2023, KPMG and Microsoft have announced a substantial extension of their worldwide collaboration, which will redefine professional services in a number of business-critical sectors such as workforce modernisation, safe and secure development, and the use of Artificial Intelligence (AI) solutions for clients, industries, and society as a whole.

Company Products:

  • Tempo: Tempo is a wearable gadget with sophisticated sensors that monitors seniors' everyday activities and behavioural patterns. Tempo can identify probable health concerns, falls, changes in sleep habits, and departures from usual routines using AI algorithms. It gives carers or family members real-time insights, allowing for early action and encouraging preventative care.
  • Microsoft Health Bot: This AI-powered chatbot offers personalised and interactive assistance to seniors and their caregivers. It provides health-related information, prescription reminders, and appointment scheduling support. Natural language processing is used by the Health Bot to comprehend and reply to users' questions and concerns, giving timely and appropriate information.
  • ABB Ability™ Care Home Solution: This complete system combines multiple technologies and artificial intelligence algorithms to offer remote monitoring, predictive analytics, and personalised care for elders. It combines smart sensors, wearables, and AI-powered analytics to detect falls, track activity levels, and warn carers in real time.
  • ABB Ability™ Genix: Genix is an AI-powered platform that analyses data from connected devices and sensors in senior care settings using machine learning methods. It offers predictive maintenance, energy optimization, and increased operational efficiency, ensuring elders have a safe and pleasant environment.

Segmentation:

By Technology

  • Machine Learning
  • Natural Language Processing (Nlp)
  • Robotics
  • Computer Vision
  • Others

By Application

  • Fall Detection And Prevention
  • Remote Monitoring And Healthcare
  • Personalized Virtual Assistants
  • Medication Management
  • Social Interaction And Companionship
  • Others

By End-User

  • Home Care Settings
  • Assisted Living Facilities
  • Nursing Homes
  • Hospitals And Clinics
  • Others

By Geography

  • North America
  • United States
  • Canada
  • Mexico
  • South America
  • Brazil
  • Argentina
  • Others
  • Europe
  • United Kingdom
  • Germany
  • France
  • Italy
  • Spain
  • Others
  • Middle East And Africa
  • Saudi Arabia
  • UAE
  • Others
  • Asia Pacific
  • Japan
  • China
  • India
  • South Korea
  • Indonesia
  • Taiwan
  • Others

TABLE OF CONTENTS

1. INTRODUCTION

  • 1.1. Market Overview
  • 1.2. Market Definition
  • 1.3. Scope of the Study
  • 1.4. Market Segmentation
  • 1.5. Currency
  • 1.6. Assumptions
  • 1.7. Base, and Forecast Years Timeline

2. RESEARCH METHODOLOGY

  • 2.1. Research Data
  • 2.2. Sources
  • 2.3. Research Design

3. EXECUTIVE SUMMARY

  • 3.1. Research Highlights

4. MARKET DYNAMICS

  • 4.1. Market Drivers
  • 4.2. Market Restraints
  • 4.3. Porters Five Forces Analysis
    • 4.3.1. Bargaining Power of Suppliers
    • 4.3.2. Bargaining Power of Buyers
    • 4.3.3. Threat of New Entrants
    • 4.3.4. Threat of Substitutes
    • 4.3.5. Competitive Rivalry in the Industry
  • 4.4. Industry Value Chain Analysis

5. AI-POWERED SOLUTIONS FOR ELDERLY CARE MARKET, BY TECHNOLOGY

  • 5.1. Introduction
  • 5.2. Machine Learning
  • 5.3. Natural Language Processing (NLP)
  • 5.4. Robotics
  • 5.5. Computer Vision
  • 5.6. Others

6. AI-POWERED SOLUTIONS FOR ELDERLY CARE MARKET, BY APPLICATION

  • 6.1. Introduction
  • 6.2. Fall Detection and Prevention
  • 6.3. Remote Monitoring and Healthcare
  • 6.4. Personalized Virtual Assistants
  • 6.5. Medication Management
  • 6.6. Social Interaction and Companionship
  • 6.7. Others

7. AI-POWERED SOLUTIONS FOR ELDERLY CARE MARKET, BY END-USER

  • 7.1. Introduction
  • 7.2. Home Care Settings
  • 7.3. Assisted Living Facilities
  • 7.4. Nursing Homes
  • 7.5. Hospitals and Clinics
  • 7.6. Others

8. AI-POWERED SOLUTIONS FOR ELDERLY CARE MARKET, BY GEOGRAPHY

  • 8.1. Introduction
  • 8.2. North America
    • 8.2.1. United States
    • 8.2.2. Canada
    • 8.2.3. Mexico
  • 8.3. South America
    • 8.3.1. Brazil
    • 8.3.2. Argentina
    • 8.3.3. Others
  • 8.4. Europe
    • 8.4.1. United Kingdom
    • 8.4.2. Germany
    • 8.4.3. France
    • 8.4.4. Italy
    • 8.4.5. Spain
    • 8.4.6. Others
  • 8.5. Middle East and Africa
    • 8.5.1. Saudi Arabia
    • 8.5.2. UAE
    • 8.5.3. Others
  • 8.6. Asia Pacific
    • 8.6.1. Japan
    • 8.6.2. China
    • 8.6.3. India
    • 8.6.4. South Korea
    • 8.6.5. Indonesia
    • 8.6.6. Taiwan
    • 8.6.7. Others

9. COMPETITIVE ENVIRONMENT AND ANALYSIS

  • 9.1. Major Players and Strategy Analysis
  • 9.2. Emerging Players and Market Lucrativeness
  • 9.3. Mergers, Acquisitions, Agreements, and Collaborations
  • 9.4. Vendor Competitiveness Matrix

10. COMPANY PROFILES

  • 10.1. CarePredict
  • 10.2. Sensible Medical
  • 10.3. Zanthion
  • 10.4. E-Vone
  • 10.5. Intuition Robotics
  • 10.6. Aiva Health
  • 10.7. K4Connect
  • 10.8. ElliQ
  • 10.9. Catalia Health
  • 10.10. GrandCare Systems