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1594868

全球人工智慧养老市场 - 2024-2031

Global AI in Elderly Care Market - 2024-2031

出版日期: 2024年11月21日 | 出版商:

DataM Intelligence | 英文 202 Pages | 商品交期: 最快1-2个工作天内

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简介目录

概述

2023年，全球人工智慧养老市场规模达343.9亿美元，预计2031年将达到2,091.9亿美元，2024-2031年预测期间复合年增长率为25.32%。

随着新型人工智慧辅助设备的推出、预期寿命的延长以及对有效老年护理解决方案的需求不断增长，用于老年人护理的全球人工智慧 (AI) 市场正在显着增长。由于人口老化和世界各地流行的慢性病导致种族人口结构的变化，需求尤其高。

监管框架和政府政策推动了人工智慧在老年人中的应用。例如，美国食品药物管理局 (FDA) 允许更快的程序批准所有以人工智慧为中心的医疗器械，在不影响安全限制的情况下鼓励创新。同样，成员国在医疗保健中使用人工智慧的相关风险由欧洲药品管理局 (EMA) 负责处理，该机构制定了有关该技术在医疗保健中使用的规则。

亚太地区是针对老年人护理的人工智慧解决方案成长最快的地区。有些国家，尤其是日本、中国和韩国，都存在着人口老化带来的甚至更高的风险。这些国家支持并资助人工智慧老年护理技术发展的发展。日本面临快速成长的老年人口，这促使政府投入大量资金用于研究和实施老年友善人工智慧系统。

动力学

科技进步和人口老化加剧

机器学习演算法、机器人辅助和预测分析等先进技术的持续应用推动了老年护理市场的发展。由于可以获得健康状况的即时资料，这些系统对于慢性病管理和避免健康相关问题至关重要。例如，采用人工智慧技术的设备可以监测患者的生命体征，并在需要任何干预时通知医疗保健服务，以提高护理品质并减少不必要的住院。

人口老化进一步促进了市场扩张。据联合国称，全球 65 岁以上人口数量达到 15 亿，到 2050 年这一数字将翻倍。大多数老年人希望尽可能长时间地留在自己的家中，因此自我照顾变得更加重要，并且必须透过人工智慧支援的家庭护理来增强自我照护。

不断上涨的医疗成本和政府支持

与传统医疗保健相关的成本不断上升，正在推动人工智慧驱动的老年护理成为更实惠的选择。根据世界银行的数据，未来十年全球医疗保健支出预计每年增长 4.6%。人工智慧驱动的老年护理透过预防性健康措施、减少住院人数和有效的资源分配提供了节省成本的机会。作为回应，一些政府正在实施政策来支持基于人工智慧的医疗保健创新。例如，欧盟的「地平线欧洲」计画为医疗保健计画中的人工智慧分配资金，特别是针对老年族群的计画。

美国劳工统计局（BLS）也表示，从2021年到2031年，对医护人员的需求预计将成长12.6%，其中很大一部分成长集中在老年护理行业。透过整合人工智慧，医疗保健提供者可以缓解劳动力短缺并扩大护理专业人员的覆盖范围，从而实现更有效的老年人支援。

老年人的数位素养有限

开发和部署先进的人工智慧设备的初始成本给精打细算的消费者和小型医疗机构带来了巨大障碍。这些高额费用可能会限制此类技术的使用，而这些技术旨在增强患者护理并简化操作。资料外洩的可能性为消费者和提供者敲响了警钟，使他们对采用这些创新犹豫不决。

此外，老年人的数位素养有限，加上对新技术的普遍抵制，使市场的成长前景更加复杂。因此，虽然人工智慧在老年护理市场中保持大幅成长，但必须解决这些财务、隐私、教育和监管挑战，以促进更广泛的接受并融入日常医疗实践。

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

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

02-2729-4219

+886-2-2729-4219

License/价格

全球人工智慧养老市场 - 2024-2031

Global AI in Elderly Care Market - 2024-2031

目录

第 1 章：方法与范围

第 2 章：定义与概述

第 3 章：执行摘要

第 4 章：动力学

第 5 章：产业分析

第 6 章：依技术分类

第 7 章：按申请

第 8 章：最终用户

第 9 章：可持续性分析

第 10 章：按地区

第 11 章：竞争格局

第 12 章：公司简介

第 13 章：附录