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商品編碼

1594868

全球人工智慧養老市場 - 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個工作天內

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簡介目錄

概述

2023年，全球人工智慧養老市場規模達343.9億美元，預計2031年將達到2,091.9億美元，2024-2031年預測期間複合年成長率為25.32%。

隨著新型人工智慧輔助設備的推出、預期壽命的延長以及對有效老年護理解決方案的需求不斷成長，用於老年人護理的全球人工智慧 (AI) 市場正在顯著成長。由於人口老化和世界各地流行的慢性病導致種族人口結構的變化，需求尤其高。

監管框架和政府政策推動了人工智慧在老年人中的應用。例如，美國食品藥物管理局 (FDA) 允許更快的程序批准所有以人工智慧為中心的醫療器械，在不影響安全限制的情況下鼓勵創新。同樣，成員國在醫療保健中使用人工智慧的相關風險由歐洲藥品管理局 (EMA) 負責處理，該機構制定了有關該技術在醫療保健中使用的規則。

亞太地區是針對老年人護理的人工智慧解決方案成長最快的地區。有些國家，尤其是日本、中國和韓國，都存在著人口老化帶來的甚至更高的風險。這些國家支持並資助人工智慧老年護理技術發展的發展。日本面臨快速成長的老年人口，這促使政府投入大量資金用於研究和實施老年友善人工智慧系統。

動力學

科技進步和人口老化加劇

機器學習演算法、機器人輔助和預測分析等先進技術的持續應用推動了老年護理市場的發展。由於可以獲得健康狀況的即時資料，這些系統對於慢性病管理和避免健康相關問題至關重要。例如，採用人工智慧技術的設備可以監測患者的生命徵象，並在需要任何干涉時通知醫療保健服務，以提高護理品質並減少不必要的住院。

人口老化進一步促進了市場擴張。據聯合國稱，全球 65 歲以上人口數量達到 15 億，到 2050 年這一數字將翻倍。大多數老年人希望盡可能長時間地留在自己的家中，因此自我照顧變得更加重要，並且必須透過人工智慧支援的家庭護理來增強自我照護。

不斷上漲的醫療成本和政府支持

與傳統醫療保健相關的成本不斷上升，正在推動人工智慧驅動的老年護理成為更實惠的選擇。根據世界銀行的數據，未來十年全球醫療保健支出預計每年成長 4.6%。人工智慧驅動的老年護理透過預防性健康措施、減少住院人數和有效的資源分配提供了節省成本的機會。作為回應，一些政府正在實施政策來支持基於人工智慧的醫療保健創新。例如，歐盟的「地平線歐洲」計畫為醫療保健計畫中的人工智慧分配資金，特別是針對老年族群的計畫。

美國勞工統計局（BLS）也表示，從2021年到2031年，對醫護人員的需求預計將成長12.6%，其中很大一部分成長集中在老年護理行業。透過整合人工智慧，醫療保健提供者可以緩解勞動力短缺並擴大護理專業人員的覆蓋範圍，從而實現更有效的老年人支援。

老年人的數位素養有限

開發和部署先進的人工智慧設備的初始成本給精打細算的消費者和小型醫療機構帶來了巨大障礙。這些高額費用可能會限制此類技術的使用，而這些技術旨在增強患者護理並簡化操作。資料外洩的可能性為消費者和提供者敲響了警鐘，使他們對採用這些創新猶豫不決。

此外，老年人的數位素養有限，加上對新技術的普遍抵制，使市場的成長前景更加複雜。因此，雖然人工智慧在老年護理市場中保持大幅成長，但必須解決這些財務、隱私、教育和監管挑戰，以促進更廣泛的接受並融入日常醫療實踐。

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