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AI in Aging and Elderly Care Market

AI in Aging and Elderly Care Market Size, Share & Trends Analysis Report, By Type (Natural Language Processing Systems, Robotics and Robotic Assistance, Smart Home Devices and IoT Solutions, Machine Learning and Predictive Analytics, Virtual Health Assistants) By Application; By End-User, By Technology, By Region, Forecasts, 2024-2031

Report ID : 2696 | Published : 2024-08-22 | Pages: 180 | Format: PDF/EXCEL

AI in Aging and Elderly Care Market Size was valued at USD 39.3 Bn in 2023 and is predicted to reach USD 180.8 Bn by 2031 at a 21.2% CAGR during the forecast period for 2024-2031.

AI in Aging and Elderly Care Market info

The main goal of the book Artificial Intelligence in Aging and Elderly Care is to use state-of-the-art AI technologies to address the issues brought on by an aging population. These creative solutions support the growing number of older adults due to increased life expectancy and enable remote monitoring and early health issue detection for caregivers and healthcare providers. AI-driven solutions encourage healthy aging and active lifestyles among the aged population by providing them with smart home appliances, virtual health assistants, and robotic companions. These innovations make society more inclusive and age-friendly.

The COVID-19 epidemic has significantly impacted artificial intelligence in the aging and elder care sector. The increased susceptibility of older persons to the virus has led to an increased emphasis on using AI-driven solutions to guarantee their security and welfare—distant medical. During the pandemic, telemedicine, virtual health aids, and monitoring have become more popular, enabling medical professionals to give care with less direct patient interaction. AI-driven solutions have also been crucial in detecting early COVID-19 signs in older people, allowing for prompt therapies and lowering the risk of transmission in care settings. But the pandemic has also brought attention to issues with older persons' access to technology and data privacy, which calls for more work to solve these issues.

Competitive Landscape

Some of the Major Key Players in the AI in Aging and Elderly Care Market are

  • IBM Corporation
  • Intel Corporation
  • Google LLC
  • Microsoft Corporation
  • Amazon Web Services, Inc.
  • NVIDIA Corporation
  • Siemens Healthineers AG
  • Oracle Corporation
  • General Electric Company
  • Medtronic PLC
  • Koninklijke Philips N.V.
  • Samsung Electronics Co., Ltd.
  • Cognivue Corporation
  • AARP Services, Inc.
  • CarePredict, Inc.
  • Sensely, Inc.
  • Ayasdi AI, Inc.
  • Somatix Inc.
  • Orbita, Inc.
  • Suki.AI, Inc.
  • Reemo Health, Inc.
  • True Link Financial, Inc.
  • Eversense Corporation
  • Canary Health Technologies, Inc.
  • AiCure LLC
  • Others.

Market Segmentation:

The AI in the aging and elderly care market is segmented based on type, application, end-user, and technology. The market is segmented based on type, such as natural language processing (NLP) systems, robotics and robotic assistance, smart home devices and IoT solutions, machine learning and predictive analytics and virtual health assistants. Based on the application, the market is segmented into fall detection and prevention, medication management, remote health monitoring, social engagement companion AI, cognitive stimulation and brain training. The market is segmented based on end-users into assisted living facilities, home care settings, nursing homes, long-term care centres, hospitals, and healthcare institutions. The market is segmented based on technology such as wearable devices, smart home systems, mobile apps, cloud computing, and the Internet of Things (IoT).

Based on Technology, the Internet of Things (IoT) Segment is Accounted as a Major Contributor to AI in the Aging and Elderly Care Market.

Integrating the Internet of Things (IoT) and connected devices is a major growth element in the AI-powered solutions for the elder care market. IoT and connected devices in the senior care industry have several uses and advantages. Real-time data gathering and processing is made possible by wearable sensors, smart home automation systems, and remote monitoring equipment. By integrating these devices, caregivers and medical professionals may keep an eye on vital signs, activity levels, medication compliance, and fall or emergency detection from a distance. The intelligent amalgamation of diverse gadgets and AI-driven systems facilitates proactive and customized care, guaranteeing security, welfare, and an enhanced standard of living for senior citizens. The application of IoT and linked devices in elder care enhances the capacity for remote monitoring and enables early health diagnosis.

Natural Language Processing (NLP) Systems Segment Witnessed Growth at a Rapid Rate.

The industry offers a variety of solutions, such as natural language processing (NLP) systems, which provide easy engagement and communication with senior citizens. IoT solutions and smart home devices enable networked settings for remote safety monitoring, while robotics and robotic assistance are essential for giving companionship and physical support. Personalized treatment plans and early health issue diagnosis are primarily made possible by machine learning and predictive analytics. Furthermore, virtual health assistants provide medication management assistance, cognitive stimulation, and virtual companionship.

In the Region, North American AI in the Aging and Elderly Care Market Holds a Significant Revenue Share.

In the market for AI-powered senior care solutions, North America is expected to register the highest market share. Other elements add to the region's importance. The need for innovative aged care solutions is fueled by North America's vast aging population and highly developed healthcare system. Significant R&D activity, government financing, and collaboration between IT companies and healthcare institutions all benefit the area. Additionally, the wearables, AI-powered platforms, and remote monitoring systems markets are well-established in North America, which facilitates the integration of AI technologies into elderly care. It is important to remember, though, that the market for AI-powered solutions for senior care is expanding quickly.

Recent Developments:

  • A significant global expansion of KPMG and Microsoft's partnership was announced in July 2023. This partnership will transform professional services in several critical business areas, including workforce modernization, safe and secure development, and the application of artificial intelligence (AI) solutions for customers, businesses, and society at large.
  • TrueCare purchased Wellth, a digital health startup that offers senior citizens remote monitoring and care coordination, in February 2023.
  • Blue Cross Blue Shield of Massachusetts purchased a pharmaceutical benefit manager that focusses on elder services, SilverScript, in March 2023.

AI in Aging and Elderly Care Market Report Scope

Report Attribute

Specifications

Market Size Value In 2023

USD 39.3 Bn

Revenue Forecast In 2031

USD 180.8 Bn

Growth Rate CAGR

CAGR of 21.2% from 2024 to 2031

Quantitative Units

Representation of revenue in US$ Million and CAGR from 2024 to 2031

Historic Year

2019 to 2023

Forecast Year

2024-2031

Report Coverage

The forecast of revenue, the position of the company, the competitive market structure, growth prospects, and trends

Segments Covered

By Type, By Application, By Technology, By End-user

Regional Scope

North America; Europe; Asia Pacific; Latin America; Middle East & Africa

Country Scope

U.S.; Canada; U.K.; Germany; China; India; Japan; Brazil; Mexico; France; Italy; Spain; South East Asia; South Korea

Competitive Landscape

IBM Corporation, Intel Corporation, Google LLC, Microsoft Corporation, Amazon Web Services, Inc., NVIDIA Corporation, Siemens Healthineers AG, Oracle Corporation, General Electric Company, Medtronic PLC, Koninklijke Philips N.V., Samsung Electronics Co., Ltd., Cognivue Corporation, AARP Services, Inc., CarePredict, Inc., Sensely, Inc., Ayasdi AI, Inc., Somatix Inc., Orbita, Inc., Suki.AI, Inc., Reemo Health, Inc., True Link Financial, Inc., Eversense Corporation, Canary Health Technologies, Inc., AiCure LLC, and others.

Customization Scope

Free customization report with the procurement of the report and modifications to the regional and segment scope. Particular Geographic competitive landscape.

Pricing And Available Payment Methods

Explore pricing alternatives that are customized to your particular study requirements.

Chapter 1. Methodology and Scope

1.1. Research Methodology

1.2. Research Scope & Assumptions

Chapter 2. Executive Summary

Chapter 3. Global Artificial Intelligence in Aging and Elderly Care Market Snapshot

Chapter 4. Global Artificial Intelligence in Aging and Elderly Care Market Variables, Trends & Scope

4.1. Market Segmentation & Scope

4.2. Drivers

4.3. Challenges

4.4. Trends

4.5. Investment and Funding Analysis

4.6. Industry Analysis – Porter’s Five Forces Analysis

4.7. Competitive Landscape & Market Share Analysis

4.8. Impact of Covid-19 Analysis

Chapter 5. Market Segmentation 1: by Type Estimates & Trend Analysis

5.1. by Type & Market Share, 2019 & 2031

5.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2019 to 2031 for the following by Type:

5.2.1. Natural Language Processing (NLP) Systems

5.2.2. Robotics and Robotic Assistance

5.2.3. Smart Home Devices and IoT Solutions

5.2.4. Machine Learning and Predictive Analytics

5.2.5. Virtual Health Assistants

Chapter 6. Market Segmentation 2: by Application Estimates & Trend Analysis

6.1. by Application & Market Share, 2019 & 2031

6.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2019 to 2031 for the following by Application:

6.2.1. Fall Detection and Prevention

6.2.2. Medication Management

6.2.3. Remote Health Monitoring

6.2.4. Social Engagement and Companion AI

6.2.5. Cognitive Stimulation and Brain Training

Chapter 7. Market Segmentation 3: by End-User Estimates & Trend Analysis

7.1. by End-User & Market Share, 2019 & 2031

7.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2019 to 2031 for the following by End-User:

7.2.1. Home Care Settings

7.2.2. Assisted Living Facilities

7.2.3. Nursing Homes and Long-Term Care Centers

7.2.4. Hospitals and Healthcare Institutions

Chapter 8. Artificial Intelligence in Aging and Elderly Care Market Segmentation 4: Regional Estimates & Trend Analysis

8.1. North America

8.1.1. North America Artificial Intelligence in Aging and Elderly Care Market Revenue (US$ Million) Estimates and Forecasts by Type, 2023-2031

8.1.2. North America Artificial Intelligence in Aging and Elderly Care Market Revenue (US$ Million) Estimates and Forecasts by Application, 2023-2031

8.1.3. North America Artificial Intelligence in Aging and Elderly Care Market Revenue (US$ Million) Estimates and Forecasts by End-User, 2023-2031

8.1.4. North America Artificial Intelligence in Aging and Elderly Care Market Revenue (US$ Million) Estimates and Forecasts by country, 2023-2031

8.2. Europe

8.2.1. Europe Artificial Intelligence in Aging and Elderly Care Market Revenue (US$ Million) Estimates and Forecasts by Type, 2023-2031

8.2.2. Europe Artificial Intelligence in Aging and Elderly Care Market Revenue (US$ Million) Estimates and Forecasts by Application, 2023-2031

8.2.3. Europe Artificial Intelligence in Aging and Elderly Care Market Revenue (US$ Million) Estimates and Forecasts by End-User, 2023-2031

8.2.4. Europe Artificial Intelligence in Aging and Elderly Care Market Revenue (US$ Million) Estimates and Forecasts by country, 2023-2031

8.3. Asia Pacific

8.3.1. Asia Pacific Artificial Intelligence in Aging and Elderly Care Market Revenue (US$ Million) Estimates and Forecasts by Type, 2023-2031

8.3.2. Asia Pacific Artificial Intelligence in Aging and Elderly Care Market Revenue (US$ Million) Estimates and Forecasts by Application, 2023-2031

8.3.3. Asia-Pacific Artificial Intelligence in Aging and Elderly Care Market Revenue (US$ Million) Estimates and Forecasts by End-User, 2023-2031

8.3.4. Asia Pacific Artificial Intelligence in Aging and Elderly Care Market Revenue (US$ Million) Estimates and Forecasts by country, 2023-2031

8.4. Latin America

8.4.1. Latin America Artificial Intelligence in Aging and Elderly Care Market Revenue (US$ Million) Estimates and Forecasts by Type, 2023-2031

8.4.2. Latin America Artificial Intelligence in Aging and Elderly Care Market Revenue (US$ Million) Estimates and Forecasts by Application, 2023-2031

8.4.3. Latin America Artificial Intelligence in Aging and Elderly Care Market Revenue (US$ Million) Estimates and Forecasts by End-User, 2023-2031

8.4.4. Latin America Artificial Intelligence in Aging and Elderly Care Market Revenue (US$ Million) Estimates and Forecasts by country, 2023-2031

8.5. Middle East & Africa

8.5.1. Middle East & Africa Artificial Intelligence in Aging and Elderly Care Market Revenue (US$ Million) Estimates and Forecasts by Type, 2023-2031

8.5.2. Middle East & Africa Artificial Intelligence in Aging and Elderly Care Market Revenue (US$ Million) Estimates and Forecasts by Application, 2023-2031

8.5.3. Middle East & Africa Artificial Intelligence in Aging and Elderly Care Market Revenue (US$ Million) Estimates and Forecasts by End-User, 2023-2031

8.5.4. Middle East & Africa Artificial Intelligence in Aging and Elderly Care Market Revenue (US$ Million) Estimates and Forecasts by country, 2023-2031

Chapter 9. Competitive Landscape

9.1. Major Mergers and Acquisitions/Strategic Alliances

9.2. Company Profiles

9.2.1. IBM Corporation

9.2.2. Google LLC

9.2.3. Microsoft Corporation

9.2.4. Intel Corporation

9.2.5. NVIDIA Corporation

9.2.6. Siemens Healthineers

9.2.7. CarePredict

9.2.8. Somatix

9.2.9. AiCure

9.2.10. Zebra Medical Vision

9.2.11. GrandCare Systems

9.2.12. Other Prominent Players

Segmentation of AI in the Aging and Elderly Care Market-

AI in the Aging and Elderly Care Market- By Type

  • Natural Language Processing (NLP) Systems
  • Robotics and Robotic Assistance
  • Smart Home Devices and IoT Solutions
  • Machine Learning and Predictive Analytics
  • Virtual Health Assistants

AI in Aging and Elderly Care Market seg

AI in the Aging and Elderly Care Market- By Application

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

AI in the Aging and Elderly Care Market- By End-User

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

AI in the Aging and Elderly Care Market- By Technology

  • Wearable Devices
  • Smart Home Systems
  • Mobile Apps
  • Cloud Computing
  • Internet of Things (IoT)

AI in the Aging and Elderly Care Market- By Region

North America-

  • The US
  • Canada
  • Mexico

Europe-

  • Germany
  • The UK
  • France
  • Italy
  • Spain
  • Rest of Europe

Asia-Pacific-

  • China
  • Japan
  • India
  • South Korea
  • South East Asia
  • Rest of Asia Pacific

Latin America-

  • Brazil
  • Argentina
  • Rest of Latin America

 Middle East & Africa-

  • GCC Countries
  • South Africa
  • Rest of Middle East and Africa

InsightAce Analytic follows a standard and comprehensive market research methodology focused on offering the most accurate and precise market insights. The methods followed for all our market research studies include three significant steps – primary research, secondary research, and data modeling and analysis - to derive the current market size and forecast it over the forecast period. In this study, these three steps were used iteratively to generate valid data points (minimum deviation), which were cross-validated through multiple approaches mentioned below in the data modeling section.

Through secondary research methods, information on the market under study, its peer, and the parent market was collected. This information was then entered into data models. The resulted data points and insights were then validated by primary participants.

Based on additional insights from these primary participants, more directional efforts were put into doing secondary research and optimize data models. This process was repeated till all data models used in the study produced similar results (with minimum deviation). This way, this iterative process was able to generate the most accurate market numbers and qualitative insights.

Secondary research

The secondary research sources that are typically mentioned to include, but are not limited to:

  • Company websites, financial reports, annual reports, investor presentations, broker reports, and SEC filings.
  • External and internal proprietary databases, regulatory databases, and relevant patent analysis
  • Statistical databases, National government documents, and market reports
  • Press releases, news articles, and webcasts specific to the companies operating in the market

The paid sources for secondary research like Factiva, OneSource, Hoovers, and Statista

Primary Research:

Primary research involves telephonic interviews, e-mail interactions, as well as face-to-face interviews for each market, category, segment, and subsegment across geographies

The contributors who typically take part in such a course include, but are not limited to: 

  • Industry participants: CEOs, CBO, CMO, VPs, marketing/ type managers, corporate strategy managers, and national sales managers, technical personnel, purchasing managers, resellers, and distributors.
  • Outside experts: Valuation experts, Investment bankers, research analysts specializing in specific markets
  • Key opinion leaders (KOLs) specializing in unique areas corresponding to various industry verticals
  • End-users: Vary mainly depending upon the market

Data Modeling and Analysis:

In the iterative process (mentioned above), data models received inputs from primary as well as secondary sources. But analysts working on these models were the key. They used their extensive knowledge and experience about industry and topic to make changes and fine-tuning these models as per the product/service under study.

The standard data models used while studying this market were the top-down and bottom-up approaches and the company shares analysis model. However, other methods were also used along with these – which were specific to the industry and product/service under study.

 

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Frequently Asked Questions

How big is the AI in Aging and Elderly Care Market Size?

AI in Aging and Elderly Care Market is expected to grow at a 21.2% CAGR during the forecast period for 2024-2031.

IBM Corporation, Intel Corporation, Google LLC, Microsoft Corporation, Amazon Web Services, Inc., NVIDIA Corporation, Siemens Healthineers AG, Oracle

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