人工智慧驅動的老年護理解決方案的全球市場:預測(2023-2028)
市場調查報告書
商品編碼
1410109

人工智慧驅動的老年護理解決方案的全球市場:預測(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個工作天內

價格
簡介目錄

預計2021年全球人工智慧養老解決方案市場規模將達7.195億美元。

隨著人工智慧技術改變養老領域,基於人工智慧的養老解決方案市場正在迅速擴大。隨著世界人口持續老化,越來越需要新的解決方案來應對老年人面臨的挑戰。遠端健康監測、跌倒檢測、認知支援、處方箋管理和社交陪伴都可以透過人工智慧驅動的解決方案實現。這些技術利用機器學習、自然語言處理和電腦視覺為老年人提供個人化、主動的護理。人工智慧演算法分析來自穿戴式裝置、感測器等的資料,以發現趨勢、預測健康風險並實現早期治療。擁抱人工智慧驅動的老年護理解決方案市場對於改善老齡化社會中老年人的生活品質、培養獨立性和確保老年人的福祉具有廣闊的前景。

人口老化和人工智慧養老解決方案市場對養老的需求不斷增加。

人口老化和老年人照護需求的成長是人工智慧養老解決方案市場的主要成長動力。據世界衛生組織 (WHO) 稱,到 2050 年,全球 60 歲及以上的人口預計將從 2015 年的 9 億增加一倍,達到 20 億。這種人口結構的變化對滿足老年人獨特需求的創意解決方案產生了巨大的需求。預期壽命的延長和獨立生活的願望推動了對人工智慧解決方案的需求,這些解決方案可以提供個人化、主動的護理,以解決人口老化所面臨的問題。

對個人化主動護理的需求正在推動人工智慧驅動的老年護理解決方案市場的成長。

在人工智慧驅動的老年護理解決方案市場中,對個人化主動護理的需求正在增加。根據《醫學網際網路研究雜誌》發表的一項研究,個人化護理干預措施可以改善老年人的健康狀況和福祉。人工智慧技術可以收集和分析大量資料,例如病歷、感測器資料和生活方式資訊,以創建個人化護理計劃。此外,主動護理強調預防措施和健康問題的早期診斷。對個人化主動護理的渴望正在推動人工智慧解決方案的使用,這些解決方案可以根據個人需求量身定做干涉措施,並實現早期療育以改善老年人的治療結果。

物聯網和連網型設備在老年護理領域的整合將擴大人工智慧老年護理解決方案的市場規模。

在人工智慧驅動的老年護理解決方案市場中,物聯網和連接設備的整合是一個關鍵的成長要素。物聯網和互聯設備在老年護理領域提供了多種應用和優勢。例如,穿戴式感測器、智慧家庭系統和遠端監控設備提供即時資料收集和處理。透過整合這些設備,看護者和醫療保健提供者可以遠端監控生命徵象、活動水平、用藥醫囑遵從性,並識別跌倒和緊急情況。各種設備和人工智慧平台的無縫整合可確保老年人的安全、福祉和生活品質的提高,從而實現個人化的主動護理。在老年護理中使用物聯網和連網型設備可以提高遠端監控能力,實現健康狀況的早期診斷並實現及時治療,從而改善整體老年護理體驗。

北美是人工智慧老年護理解決方案市場的領導者。

北美已成為人工智慧老年護理解決方案市場的領導者。該地區的重要性歸因於幾個因素。北美擁有技術先進的醫療保健系統和人口老化,增加了對新型老年護理解決方案的需求。該地區受益於大量的政府資助、強大的研發活動以及科技公司和醫療機構之間的合作。此外,北美已經建立了穿戴式裝置、遠端監控系統和人工智慧平台的市場,使得人工智慧解決方案更容易整合到老年護理中。然而,值得注意的是,人工智慧驅動的老年護理解決方案市場的成長正在迅速開拓,歐洲和亞太地區等其他地區也在該行業取得了重大進展。

利用人工智慧解決養老解決方案市場中看護者短缺和老化的挑戰。

在人工智慧養老解決方案市場,解決看護者短缺和老化問題是重要的成長動力。世界衛生組織 (WHO) 估計,到 2030 年,全球包括看護者在內的衛生工作者短缺人數將達到 1,000 萬人。此外,老年人越來越渴望“就地養老”,或繼續住在自己的家裡。提供遠端監控、虛擬護理和輔助技術的人工智慧解決方案可以幫助彌合這一差距。 《老齡與健康雜誌》發表的一項研究表明,在老年人護理中使用人工智慧和機器人可以減輕看護者的負擔,並就地改善他們的退休生活。這些技術可以協助日常業務、藥物管理、跌倒檢測等,促進獨立性並減少對人類照護人員的依賴。

主要進展:

2022 年4 月CarePredict 是一家擁有173 年歷史的非營利公司,最近榮獲Argentum Best of The Best 獎,是一家領先的數位健康公司,旨在滿足老年人生活的需求。該公司宣布與Maple Knoll Communities , Inc. 建立合作夥伴關係。 Maple Knoll 擁有並經營兩個持續護理退休社區 (CCRC)。 Maple Knoll 推出了 CarePredict,這是一種透過預防性治療來改善治療結果的尖端工具。 CarePredict 將作為單一平台安裝在 Maple Knoll Village,該村位於俄亥俄州辛辛那提,佔地 54 英畝,擁有約 400 個獨立生活、輔助生活、記憶護理和熟練護理單位。 2023 年 7 月,畢馬威和微軟將在多個關鍵業務領域重新推出專業服務,包括勞動力現代化、安全可靠的開發,以及為客戶、行業和整個社會利用人工智慧 (AI) 解決方案。擴大全球合作,定義

企業產品

  • Tempo: Tempo 是一款穿戴式設備,配備高性能感測器,可監控老年人的日常活動和行為模式。使用人工智慧演算法,Tempo 可以識別健康問題、跌倒、睡眠習慣的變化以及與正常作息的偏差。為看護者和家庭提供即時見解,實現早期回應並鼓勵預防性護理。
  • Microsoft Health Bot:這個人工智慧驅動的聊天機器人為老年人及其看護者提供個人化的互動式協助。提供健康相關資訊、處方箋提醒和預約安排協助。 Health Bot 使用自然語言處理來理解您的問題和疑慮,並及時回覆相關資訊。
  • ABBability™護理之家解決方案:這套完整的系統結合了多種技術和人工智慧演算法,為老年人提供遠端監控、預測分析和個人化護理。它結合了智慧感測器、穿戴式裝置和人工智慧分析,可以偵測跌倒、追蹤活動量並即時提醒看護者。
  • ABBability(TM) Genix: Genix是一個人工智慧驅動的平台,它使用機器學習技術來分析來自高級護理環境中連接設備和感測器的資料。它提供預測性維護、能源最佳化和提高的營運效率,以確保為老年人提供安全舒適的環境。

目錄

第1章簡介

  • 市場概況
  • 市場定義
  • 調查範圍
  • 市場區隔
  • 貨幣
  • 先決條件
  • 基準年和預測年時間表

第2章調查方法

  • 調查資料
  • 資訊來源
  • 研究設計

第3章執行摘要

  • 研究亮點

第4章市場動態

  • 市場促進因素
  • 市場抑制因素
  • 波特五力分析
    • 供應商的議價能力
    • 買方議價能力
    • 新進入者的威脅
    • 替代品的威脅
    • 業內競爭對手之間的對抗關係
  • 產業價值鏈分析

第5章人工智慧養老解決方案市場:依技術分類

  • 介紹
  • 機器學習
  • 自然語言處理(NLP)
  • 機器人技術
  • 電腦視覺
  • 其他

第6章人工智慧養老解決方案市場:按應用分類

  • 介紹
  • 跌倒偵測/預防
  • 遠端監控/醫療保健
  • 個性化虛擬助理
  • 用藥管理
  • 社交互動/友誼
  • 其他

第7章 使用人工智慧的老年護理解決方案市場:按最終用戶分類

  • 介紹
  • 居家照護
  • 福利設施
  • 療養院
  • 醫院/診所
  • 其他

第8章人工智慧養老解決方案市場:按地區分類

  • 介紹
  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 南美洲
    • 巴西
    • 阿根廷
    • 其他
  • 歐洲
    • 英國
    • 德國
    • 法國
    • 義大利
    • 西班牙
    • 其他
  • 中東/非洲
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 其他
  • 亞太地區
    • 日本
    • 中國
    • 印度
    • 韓國
    • 印尼
    • 台灣
    • 其他

第9章競爭環境及分析

  • 主要企業及策略分析
  • 新興企業和市場盈利
  • 合併、收購、協議和合作
  • 供應商競爭力矩陣

第10章 公司簡介

  • CarePredict
  • Sensible Medical
  • Zanthion
  • E-Vone
  • Intuition Robotics
  • Aiva Health
  • K4Connect
  • ElliQ
  • Catalia Health
  • GrandCare Systems
簡介目錄
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