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高齢者ケアにおけるAIの世界市場：2024年～2031年

Global AI in Elderly Care Market - 2024-2031

出版日
ページ情報
英文 202 Pages
納期
即日から翌営業日
カスタマイズ可能
適宜更新あり
価格
価格表記: USDを日本円(税抜)に換算
本日の銀行送金レート: 1USD=145.00円
高齢者ケアにおけるAIの世界市場：2024年～2031年
出版日: 2024年11月21日
発行: DataM Intelligence
ページ情報: 英文 202 Pages
納期: 即日から翌営業日
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  • 概要
  • 目次
概要

概要

高齢者ケアにおけるAIの世界市場は、2023年に343億9,000万米ドルに達し、2031年には2,091億9,000万米ドルに達すると予測され、予測期間2024-2031年のCAGRは25.32%で成長すると予測されます。

高齢者ケアにおけるAIの世界市場は、AIを搭載した新しい支援機器のイントロダクション、平均寿命の伸び、効果的な高齢者ケアソリューションへの需要の高まりにより、著しい成長を遂げています。特に、高齢化に伴う人種的な人口動態の変化や、世界の慢性疾患の蔓延により、需要が高まっています。

規制の枠組みや政府の方針は、高齢者のAI導入に拍車をかけています。例えば、米国食品医薬品局（FDA）は、すべての人工知能を中心とした医療機器の迅速な承認手続きを認めており、安全限界を損なうことなく技術革新を促しています。同様に、加盟国のヘルスケアにおける人工知能の使用に関連するリスクは、ヘルスケアにおけるこの技術の使用に関する規則を定めた欧州医薬品庁（EMA）によって対処されています。

アジア太平洋は、高齢者ケアを対象としたAIベースのソリューションが最も急速に成長している地域です。特に日本、中国、韓国などの国々には、高齢化社会をもたらすリスク、あるいはそれ以上のリスクが存在します。そうした国々は、AIの高齢者ケア技術進化の開発を支援し、資金を提供しています。日本は急速に増加する高齢者人口に直面しており、そのため、年齢に優しいAIシステムの調査と実装のために政府から多くの資金が提供されています。

ダイナミクス

技術の進歩と高齢化人口の増加

高齢者ケア市場は、機械学習アルゴリズム、ロボット支援、予測分析などの先進技術の導入が増加していることによって推進されています。これらのシステムは、健康状態に関するリアルタイムのデータを利用できるため、慢性疾患の管理や健康に関連する問題の回避に不可欠です。例えば、人工知能技術を搭載した機器は、患者のバイタルサインを監視し、介入の必要があれば医療サービスに通知することで、ケアの質を高め、不必要な入院を減らすことができます。

高齢化はさらに市場拡大に寄与します。国連によると、65歳以上の人口は世界で15億人に達し、2050年までに倍増します。このような人口動態の変化により、効果的で管理しやすい高齢者ケアの選択肢が求められています。高齢者の大半は、できるだけ長く自宅で過ごしたいと考えているため、セルフケアはより重要な意味を持つようになり、AIがサポートする在宅ケアによって強化されなければならないです。

ヘルスケア費用の上昇と政府の支援

従来のヘルスケアに関連するコストの上昇が、より手頃な代替案としてAI主導の高齢者ケアへのシフトを後押ししています。世界銀行によると、世界のヘルスケア支出は今後10年間で毎年4.6％増加すると予想されています。AIを活用した高齢者ケアは、予防的な健康対策、入院の減少、効率的な資源配分を通じてコスト削減の機会を提供します。これを受けて、いくつかの政府はAIを活用したヘルスケアイノベーションを支援する政策を実施しています。例えば、欧州連合（EU）のホライゾン・欧州・プログラムは、ヘルスケアにおけるAIプロジェクト、特に高齢者人口を対象としたプロジェクトに資金を割り当てています。

また、米国労働統計局（BLS）は、ヘルスケア従事者の需要が2021年から2031年にかけて12.6％増加する見込みであり、この増加の大部分は高齢者介護分野に集中すると指摘しています。AIを取り入れることで、ヘルスケアプロバイダーは労働力不足を解消し、ケアの専門家の手を広げることができ、より効果的な高齢者支援が可能になります。

高齢者の限られたデジタルリテラシー

高度なAI対応機器の開発・導入に伴う初期費用は、予算重視の消費者や小規模ヘルスケア施設にとって大きな障壁となります。このような高額な出費は、患者ケアを強化し、業務を合理化するために設計されたこのようなテクノロジーへのアクセスを制限する可能性があります。データ漏洩の可能性は、消費者と医療提供者の双方に警戒心を抱かせ、こうした技術革新の採用をためらわせる。

加えて、高齢者のデジタル・リテラシーが限られていることも、新技術に対する一般的な抵抗感と相まって、市場の成長見通しをさらに複雑にしています。その結果、高齢者ケアにおけるAI市場は大きな成長を期待できるもの、より広く受け入れられ、日常的な医療行為に統合されるためには、こうした財政、プライバシー、教育、規制の課題に対処する必要があります。

目次

第1章 調査手法と調査範囲

第2章 定義と概要

第3章 エグゼクティブサマリー

第4章 市場力学

  • 影響要因
    • 促進要因
      • 技術の進歩と高齢化の進行
      • ヘルスケア費の高騰と政府の支援
    • 抑制要因
      • 高齢者のデジタルリテラシーの限界
    • 機会
    • 影響分析

第5章 産業分析

  • ポーターのファイブフォース分析
  • サプライチェーン分析
  • 価格分析
  • 規制分析
  • ロシア・ウクライナ戦争の影響分析
  • DMIの見解

第6章 技術別

  • 機械学習
  • 自然言語処理（NLP）
  • ロボット工学
  • コンピュータビジョン
  • その他

第7章 用途別

  • 転倒検知と予防
  • 投薬管理
  • 遠隔ヘルスモニタリング
  • ソーシャルエンゲージメントとコンパニオンAI
  • 認知刺激と脳トレーニング

第8章 エンドユーザー別

  • ホームケア設定
  • 介護施設
  • 老人ホーム・長期ケアセンター
  • 病院・ヘルスケア機関

第9章 サスティナビリティ分析

  • 環境分析
  • 経済分析
  • ガバナンス分析

第10章 地域別

  • 北米
    • 米国
    • カナダ
    • メキシコ
  • 欧州
    • ドイツ
    • 英国
    • フランス
    • イタリア
    • スペイン
    • その他欧州地域
  • 南米
    • ブラジル
    • アルゼンチン
    • その他南米
  • アジア太平洋地域
    • 中国
    • インド
    • 日本
    • オーストラリア
    • その他アジア太平洋地域
  • 中東・アフリカ

第11章 競合情勢

  • 競合シナリオ
  • 市況・シェア分析
  • M&A分析

第12章 企業プロファイル

  • IBM Corporation
    • 会社概要
    • タイプポートフォリオと概要
    • 財務概要
    • 主な発展
  • InteliCare
  • Carepredict
  • Intuition Robotics
  • Aiva Health
  • K4connect
  • UBTECH ROBOTICS CORP LTD
  • RapidInnovation
  • Koninklijke Philips N.V.
  • Siemens AG

第13章 付録

目次
Product Code: ICT8782

Overview

Global AI in Elderly Care Market reached US$ 34.39 billion in 2023 and is expected to reach US$ 209.19 billion by 2031, growing with a CAGR of 25.32% during the forecast period 2024-2031.

The global market for artificial intelligence (AI) in the care of elderly citizens is growing at a remarkable growth with the introduction of new AI-powered assistive devices, the increase in life expectancy and the growing demand for effective elderly care solutions. The demand is especially high due to the racial demographic shift as the population ages and the endemic chronic diseases in the world.

Regulatory frameworks and government policies fuel the adoption of AI among the elderly. For instance, US Food and Drug Administration (FDA) has allowed quicker procedures to approve all artificial intelligence-centric medical instruments, encouraging innovation without compromising safety limits. Similarly, the risks associated with using artificial intelligence in health care in the member states are dealt with by the European Medicines Agency (EMA) which set out rules about this technology use in healthcare.

Asia-Pacific is the fastest-growing region for AI-based solutions that target elderly people's care. The risk of posing or even higher risk of an aging population exists in nations, especially Japan, China and South Korea. Such nations support and fund the development of AI aged care technological evolution. Japan faced a fast-growing old-age population, which has prompted a lot of funding from the government for research and implementation of age-friendly AI systems.

Dynamics

Technological Advancements and Increasing Aging Population

The elderly care market is propelled by the increasing implementation of advanced technologies such as machine learning algorithms, robotic assistance and predictive analytics. These systems are essential for the management of chronic diseases and for avoiding health-related issues due to the availability of real-time data on health status. For example, devices with artificial intelligence technology can monitor a patient's vital signs and notify the health care services if any intervention is needed to enhance the quality of care and reduce unnecessary hospitalization.

Aging Population further contributes to market expansion. According to the United Nations, the number of individuals over 65 years reach 1.5 billion globally and this will double by 2050. Such a shift in population dynamics demands effective and easily manageable elderly care options. The majority of older people wish to stay in their own homes for as long as possible, thus self-care becomes more relevant and has to be enhanced with AI-supported in-home care.

Rising Healthcare Costs and Government Support

The rising costs associated with traditional healthcare are propelling the shift toward AI-driven elderly care as a more affordable alternative. According to the World Bank, global healthcare expenditure is expected to rise by 4.6% annually over the next decade. AI-powered elderly care offers cost-saving opportunities through preventive health measures, reduced hospital admissions and efficient resource allocation. In response, several governments are implementing policies to support AI-based healthcare innovations. For example, the European Union's Horizon Europe program allocates funding for AI in healthcare projects, particularly those targeting elderly populations.

US Bureau of Labor Statistics (BLS) has also indicated that demand for healthcare workers is expected to grow by 12.6% from 2021 to 2031, with a significant portion of this increase concentrated in elderly care sectors. By incorporating AI, healthcare providers can alleviate workforce shortages and extend the reach of care professionals, enabling more effective elderly support.

Limited Digital Literacy in the Elderly Citizen

The initial costs associated with the development and deployment of advanced AI-enabled devices pose significant barriers for budget-conscious consumers and smaller healthcare facilities. These high expenses can limit accessibility to such technologies, which are designed to enhance patient care and streamline operations. The potential for data breaches raises alarms for both consumers and providers, making them hesitant to adopt these innovations.

Additionally, the limited digital literacy among the elderly population, coupled with a general resistance to new technologies, further complicates the market's growth prospects. As a result, while AI in the elderly care market holds substantial growth, these financial, privacy, educational and regulatory challenges must be addressed to foster broader acceptance and integration into everyday medical practices.

Segment Analysis

The global AI in elderly care market is segmented based on technology, application, end-user and region.

Agility in Fall Detection and Prevention Demands in the Market

The global market for fall detection and prevention solutions is gaining traction due to the increasing elderly population, high healthcare costs and growing awareness regarding fall-associated risks. Falls are dangerous for the elderly and are associated with injury and disability including internal bleeding and breaks such as femur, shoulder and cranial fractures. According to the World Health Organization (WHO), the annual global estimate of falls is 424,000 while medically attended falls have been approximated to be about 37.3 million falls.

Wearable gadgets, Environmental Sensors, AI-assisted Monitoring Systems and alert systems are all parts of fall detection and prevention system. For example, Falls are responsible for more than 3 million emergency room visits every year for people aged 65 and over according to the Centers for Disease Control and Prevention (CDC). Fall detection and prevention solutions facilitate interventions and advanced customized patient care, hence the risk of sustaining injuries from falls reduces drastically.

Geographical Penetration

High Technology Adoption and Strong Consumer Awareness in North America

North America dominates the market share for AI in elderly care services in the global market, due to the advanced healthcare system, high rate of technology acceptance and support of government policies in the region. US Census Bureau highlighted that, in 2022, 16% of the total US population was aged 65 years and above and it is expected to increase to 23% by the year 2050. These figures indicate a growing need for innovative approaches to elderly care that incorporate the application of Artificial Intelligence technologies.

The development of this market is also supported by the growing number of older people suffering from long-term chronic conditions and the increasing demand for tailored treatment. The use of artificial intelligence allows for the gathering and processing of large amounts of data from different platforms, which makes it possible to design care regimens that improve the well-being of elderly people. The role of AI in eldercare extends beyond enabling strategic health management to even mitigating concerns such as a senior citizen's risk of social isolation or adherence to medication, which also facilitates better living conditions.

Competitive Landscape

The major global players in the market include IBM Corporation, InteliCare, CarePredict, Intuition Robotics, Aiva Health, K4connect, UBTECH ROBOTICS CORP LTD, RapidInnovation, Koninklijke Philips N.V. and Siemens AG.

Sustainability Analysis

The utilization of artificial intelligence in elderly care services is becoming more environmentally friendly as the industry develops digital healthcare solutions with a significantly lower carbon footprint. According to the Healthcare Sustainability Committee (GSHC), the use of remote patient monitoring with AI technology, achieve a 30% decrease in healthcare-associated emissions by 2030.

Apart from remote care solutions, AI companies are also engaging in energy-saving measures such as sourcing for green data centers and introducing recycling programs for medical devices. Such contributions are not only helpful for achieving environmental goals but also encourage the appropriate use of technology in medical care. With the world turning to sustainable development, a demand for aged care AI-driven solutions that offer healthier and eco-friendly solutions.

Russia-Ukraine War Impact

Geopolitical factors, especially the war between Russia and Ukraine, have resulted in considerable disturbances in the supply chains of medical and AI-related devices across the globe. Ukraine is an important hub for the global electronic components industry for medical devices and therefore, the country has experienced adverse production issues due to the war. In such circumstances, governments face the temptation to focus more on immediate problems rather than addressing the development of healthcare technologies, which could further set back the use of AI in elderly care.

This has resulted in an inability to meet the demands and delays in the supply of AI technologies within Europe, adversely affecting the regions where AI-assisted elderly care solutions were to be introduced. The ramifications of such disruptions extend into the healthcare industry where advanced technologies must be acquired at the right time to enhance services for the elderly. Additionally, since some areas under siege are progressively inclined to devote their resources to humanitarian and military activities, funding for elderly care initiatives may be adversely affected.

By Technology

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

By Application

  • Fall Detection and Prevention
  • Medication Management
  • Remote Health Monitoring
  • Social Engagement and Companion AI
  • Cognitive Stimulation and Brain Training

By End-User

  • Home Care Settings
  • Assisted Living Facilities
  • Nursing Homes and Long-Term Care Centers
  • Hospitals and Healthcare Institutions

By Region

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • France
    • Italy
    • Spain
    • Rest of Europe
  • South America
    • Brazil
    • Argentina
    • Rest of South America
  • Asia-Pacific
    • China
    • India
    • Japan
    • Australia
    • Rest of Asia-Pacific
  • Middle East and Africa

Key Developments

  • In July 2023, TrueCare successfully implemented an AI-driven remote patient monitoring (RPM) program to enhance blood pressure management for elderly patients with persistent hypertension, utilizing technology from Rimidi.
  • In March 2023, Health Corporation announced the launch of its Care Transitions Program, designed to effectively complement patients' discharge plans, with a particular focus on reducing hospital readmissions among older adults.
  • In January 2023, Baracoda, a provider of innovative IoT services, announced the launch of BHeart, an innovative health tracker with an unlimited battery. By combining artificial intelligence with cutting-edge energy-harvesting technology, BHeart offers continuous, maintenance-free monitoring of vital health metrics, enabling proactive care for the aging population.

Why Purchase the Report?

  • To visualize the global AI in elderly care market segmentation based on technology, application, end-user and region.
  • Identify commercial opportunities by analyzing trends and co-development.
  • Excel data sheet with numerous data points at the AI in elderly care market level for all segments.
  • PDF report consists of a comprehensive analysis after exhaustive qualitative interviews and an in-depth study.
  • Product mapping available as excel consisting of key products of all the major players.

The global AI in elderly care market report would provide approximately 62 tables, 57 figures and 202 pages.

Target Audience 2024

  • Manufacturers/ Buyers
  • Industry Investors/Investment Bankers
  • Research Professionals
  • Emerging Companies

Table of Contents

1. Methodology and Scope

  • 1.1. Research Methodology
  • 1.2. Research Objective and Scope of the Report

2. Definition and Overview

3. Executive Summary

  • 3.1. Snippet by Technology
  • 3.2. Snippet by Application
  • 3.3. Snippet by End-User
  • 3.4. Snippet by Region

4. Dynamics

  • 4.1. Impacting Factors
    • 4.1.1. Drivers
      • 4.1.1.1. Technological Advancements and Increasing Aging Population
      • 4.1.1.2. Rising Healthcare Costs and Government Support
    • 4.1.2. Restraints
      • 4.1.2.1. Limited Digital Literacy in the Elderly Citizen
    • 4.1.3. Opportunity
    • 4.1.4. Impact Analysis

5. Industry Analysis

  • 5.1. Porter's Five Force Analysis
  • 5.2. Supply Chain Analysis
  • 5.3. Pricing Analysis
  • 5.4. Regulatory Analysis
  • 5.5. Russia-Ukraine War Impact Analysis
  • 5.6. DMI Opinion

6. By Technology

  • 6.1. Introduction
    • 6.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
    • 6.1.2. Market Attractiveness Index, By Technology
  • 6.2. Machine Learning*
    • 6.2.1. Introduction
    • 6.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 6.3. Natural Language Processing (NLP)
  • 6.4. Robotics
  • 6.5. Computer Vision
  • 6.6. Others

7. By Application

  • 7.1. Introduction
    • 7.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 7.1.2. Market Attractiveness Index, By Application
  • 7.2. Fall Detection and Prevention*
    • 7.2.1. Introduction
    • 7.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 7.3. Medication Management
  • 7.4. Remote Health Monitoring
  • 7.5. Social Engagement and Companion AI
  • 7.6. Cognitive Stimulation and Brain Training

8. By End-User

  • 8.1. Introduction
    • 8.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
    • 8.1.2. Market Attractiveness Index, By End-User
  • 8.2. Home Care Settings*
    • 8.2.1. Introduction
    • 8.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 8.3. Assisted Living Facilities
  • 8.4. Nursing Homes and Long-Term Care Centers
  • 8.5. Hospitals and Healthcare Institutions

9. Sustainability Analysis

  • 9.1. Environmental Analysis
  • 9.2. Economic Analysis
  • 9.3. Governance Analysis

10. By Region

  • 10.1. Introduction
    • 10.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Region
    • 10.1.2. Market Attractiveness Index, By Region
  • 10.2. North America
    • 10.2.1. Introduction
    • 10.2.2. Key Region-Specific Dynamics
    • 10.2.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
    • 10.2.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 10.2.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
    • 10.2.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 10.2.6.1. US
      • 10.2.6.2. Canada
      • 10.2.6.3. Mexico
  • 10.3. Europe
    • 10.3.1. Introduction
    • 10.3.2. Key Region-Specific Dynamics
    • 10.3.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
    • 10.3.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 10.3.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
    • 10.3.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 10.3.6.1. Germany
      • 10.3.6.2. UK
      • 10.3.6.3. France
      • 10.3.6.4. Italy
      • 10.3.6.5. Spain
      • 10.3.6.6. Rest of Europe
  • 10.4. South America
    • 10.4.1. Introduction
    • 10.4.2. Key Region-Specific Dynamics
    • 10.4.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
    • 10.4.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 10.4.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
    • 10.4.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 10.4.6.1. Brazil
      • 10.4.6.2. Argentina
      • 10.4.6.3. Rest of South America
  • 10.5. Asia-Pacific
    • 10.5.1. Introduction
    • 10.5.2. Key Region-Specific Dynamics
    • 10.5.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
    • 10.5.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 10.5.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
    • 10.5.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 10.5.6.1. China
      • 10.5.6.2. India
      • 10.5.6.3. Japan
      • 10.5.6.4. Australia
      • 10.5.6.5. Rest of Asia-Pacific
  • 10.6. Middle East and Africa
    • 10.6.1. Introduction
    • 10.6.2. Key Region-Specific Dynamics
    • 10.6.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
    • 10.6.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 10.6.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User

11. Competitive Landscape

  • 11.1. Competitive Scenario
  • 11.2. Market Positioning/Share Analysis
  • 11.3. Mergers and Acquisitions Analysis

12. Company Profiles

  • 12.1. IBM Corporation*
    • 12.1.1. Company Overview
    • 12.1.2. Type Portfolio and Description
    • 12.1.3. Financial Overview
    • 12.1.4. Key Developments
  • 12.2. InteliCare
  • 12.3. Carepredict
  • 12.4. Intuition Robotics
  • 12.5. Aiva Health
  • 12.6. K4connect
  • 12.7. UBTECH ROBOTICS CORP LTD
  • 12.8. RapidInnovation
  • 12.9. Koninklijke Philips N.V.
  • 12.10. Siemens AG

LIST NOT EXHAUSTIVE

13. Appendix

  • 13.1. About Us and Services
  • 13.2. Contact Us