AI in Aging and Elderly Care Market Report with Forecast 2025 to 2034

Report Id: 2696 Pages: 180 Last Updated: 23 December 2025 Format: PDF / PPT / Excel / Power BI
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Segmentation of AI in the Aging and Elderly Care Market-

AI in the Aging and Elderly Care Market- By Solution Type

  • Companion & Conversational AI
  • Robotics & Physical Assistance
  • Remote Monitoring & Predictive Analytics
  • Smart Home / Ambient Sensing Systems
  • Voice-First Care & Virtual Assistants
  • Care Coordination & Facility Management Platforms

AI in Aging and Elderly Care Market

AI in the Aging and Elderly Care Market- By Application

  • Fall Detection & Prevention
  • Medication Management & Adherence
  • Remote Health & Vital Monitoring
  • Social Engagement & Loneliness Mitigation
  • Cognitive Screening & Therapy
  • Staff Workflow & Operations Optimization
  • Emergency Response & Alerting
  • ADL (Activities of Daily Living) Support

AI in the Aging and Elderly Care Market -By Functional Area

  • Independent Living & Remote Patient Monitoring (RPM)
    • Emergency Detection & Response
    • Health & Wellness Monitoring
    • Predictive Risk Analytics
  • Cognitive & Mental Health Support
    • Cognitive Stimulation & Therapy
    • Companionship & Social Interaction
    • Safety & Wandering Prevention
  • Personalized Care Delivery & Clinical Support
    • Clinical Decision Support
    • Operational Efficiency (workflow automation, scheduling)
    • Rehabilitation Support
  • Social & Logistics Assistance
    • Voice-Activated Assistants
    • Mobility & Transportation Management
    • Daily Task & Meal Management

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

  • Home Care (Aging-in-Place)
  • Assisted Living & Memory Care Facilities
  • Nursing Homes / Long-Term Care
  • Hospitals & Health Systems
  • Payers & Managed Care Organizations

AI in the Aging and Elderly Care Market- By Device

  • Wearables
  • Vision-AI / Cameras
  • Non-Contact Sensors (RF, radar, acoustic, pressure)
  • Voice-First Devices / Smart Speakers
  • Mobile Apps & Tablets
  • Assistive Robots
  • Smart Home Gateways

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

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 Solution Type Estimates & Trend Analysis
5.1.    By Solution Type & Market Share, 2024 & 2034
5.2.    Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2021 to 2034 for the following By Solution Type:

5.2.1.    Companion & Conversational AI
5.2.2.    Robotics & Physical Assistance
5.2.3.    Remote Monitoring & Predictive Analytics
5.2.4.    Smart Home / Ambient Sensing Systems
5.2.5.    Voice-First Care & Virtual Assistants
5.2.6.    Care Coordination & Facility Management Platforms

Chapter 6.    Market Segmentation 2: by Application Estimates & Trend Analysis
6.1.    by Application & Market Share, 2024 & 2034
6.2.    Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2021 to 2034 for the following by Application:

6.2.1.    Fall Detection & Prevention
6.2.2.    Medication Management & Adherence
6.2.3.    Remote Health & Vital Monitoring
6.2.4.    Social Engagement & Loneliness Mitigation
6.2.5.    Cognitive Screening & Therapy
6.2.6.    Staff Workflow & Operations Optimization
6.2.7.    Emergency Response & Alerting
6.2.8.    ADL (Activities of Daily Living) Support

Chapter 7.    Market Segmentation 3: by End-User Estimates & Trend Analysis
7.1.    by End-User & Market Share, 2024 & 2034
7.2.    Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2021 to 2034 for the following by End-User:

7.2.1.    Home Care (Aging-in-Place)
7.2.2.    Assisted Living & Memory Care Facilities
7.2.3.    Nursing Homes / Long-Term Care
7.2.4.    Hospitals & Health Systems
7.2.5.    Payers & Managed Care Organizations

Chapter 8.    Market Segmentation 4: By Functional Area Estimates & Trend Analysis
8.1.    By Functional Area & Market Share, 2024 & 2034
8.2.    Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2021 to 2034 for the following by By Functional Area.

8.2.1.    Independent Living & Remote Patient Monitoring (RPM)
8.2.2.    Cognitive & Mental Health Support
8.2.3.    Personalized Care Delivery & Clinical Support
8.2.4.    Social & Logistics Assistance

Chapter 9.    Market Segmentation 5: By Device Estimates & Trend Analysis
9.1.    By Device & Market Share, 2024 & 2034
9.2.    Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2021 to 2034 for the following By Device:

9.2.1.    Wearables
9.2.2.    Vision-AI / Cameras
9.2.3.    Non-Contact Sensors (RF, radar, acoustic, pressure)
9.2.4.    Voice-First Devices / Smart Speakers
9.2.5.    Mobile Apps & Tablets
9.2.6.    Assistive Robots
9.2.7.    Smart Home Gateways

Chapter 10.     Artificial Intelligence in Aging and Elderly Care Market Segmentation 4: Regional Estimates & Trend Analysis
10.1.    North America

10.1.1.    North America Artificial Intelligence in Aging and Elderly Care Market Revenue (US$ Million) Estimates and Forecasts By Solution Type, 2021-2034
10.1.2.    North America Artificial Intelligence in Aging and Elderly Care Market Revenue (US$ Million) Estimates and Forecasts by Application, 2021-2034
10.1.3.    North America Artificial Intelligence in Aging and Elderly Care Market Revenue (US$ Million) Estimates and Forecasts by End-User, 2021-2034
10.1.4.    North America Artificial Intelligence in Aging and Elderly Care Market Revenue (US$ Million) Estimates and Forecasts by Functional Area, 2021-2034
10.1.5.    North America Artificial Intelligence in Aging and Elderly Care Market Revenue (US$ Million) Estimates and Forecasts by Device 2021-2034
10.1.6.    North America Artificial Intelligence in Aging and Elderly Care Market Revenue (US$ Million) Estimates and Forecasts by country, 2021-2034

10.2.    Europe

10.2.1.    Europe Artificial Intelligence in Aging and Elderly Care Market Revenue (US$ Million) Estimates and Forecasts by Solution Type, 2021-2034
10.2.2.    Europe Artificial Intelligence in Aging and Elderly Care Market Revenue (US$ Million) Estimates and Forecasts by Application, 2021-2034
10.2.3.    Europe Artificial Intelligence in Aging and Elderly Care Market Revenue (US$ Million) Estimates and Forecasts by End-User, 2021-2034
10.2.4.    Europe Artificial Intelligence in Aging and Elderly Care Market Revenue (US$ Million) Estimates and Forecasts by Functional Area, 2021-2034
10.2.5.    Europe Artificial Intelligence in Aging and Elderly Care Market Revenue (US$ Million) Estimates and Forecasts by Device 2021-2034
10.2.6.    Europe Artificial Intelligence in Aging and Elderly Care Market Revenue (US$ Million) Estimates and Forecasts by country, 2021-2034

10.3.    Asia Pacific

10.3.1.    Asia Pacific Artificial Intelligence in Aging and Elderly Care Market Revenue (US$ Million) Estimates and Forecasts by Solution Type, 2021-2034
10.3.2.    Asia Pacific Artificial Intelligence in Aging and Elderly Care Market Revenue (US$ Million) Estimates and Forecasts by Application, 2021-2034
10.3.3.    Asia-Pacific Artificial Intelligence in Aging and Elderly Care Market Revenue (US$ Million) Estimates and Forecasts by End-User, 2021-2034
10.3.4.    Asia Pacific Artificial Intelligence in Aging and Elderly Care Market Revenue (US$ Million) Estimates and Forecasts by Functional Area, 2021-2034
10.3.5.    Asia Pacific Artificial Intelligence in Aging and Elderly Care Market Revenue (US$ Million) Estimates and Forecasts by Device 2021-2034
10.3.6.    Asia Pacific Artificial Intelligence in Aging and Elderly Care Market Revenue (US$ Million) Estimates and Forecasts by country, 2021-2034

10.4.    Latin America

10.4.1.    Latin America Artificial Intelligence in Aging and Elderly Care Market Revenue (US$ Million) Estimates and Forecasts By Solution Type, 2021-2034
10.4.2.    Latin America Artificial Intelligence in Aging and Elderly Care Market Revenue (US$ Million) Estimates and Forecasts by Application, 2021-2034
10.4.3.    Latin America Artificial Intelligence in Aging and Elderly Care Market Revenue (US$ Million) Estimates and Forecasts by End-User, 2021-2034
10.4.4.    Latin America Artificial Intelligence in Aging and Elderly Care Market Revenue (US$ Million) Estimates and Forecasts by Functional Area, 2021-2034
10.4.5.    Latin America Artificial Intelligence in Aging and Elderly Care Market Revenue (US$ Million) Estimates and Forecasts by Device 2021-2034
10.4.6.    Latin America Artificial Intelligence in Aging and Elderly Care Market Revenue (US$ Million) Estimates and Forecasts by country, 2021-2034

10.5.    Middle East & Africa

10.5.1.    Middle East & Africa Artificial Intelligence in Aging and Elderly Care Market Revenue (US$ Million) Estimates and Forecasts By Solution Type, 2021-2034
10.5.2.    Middle East & Africa Artificial Intelligence in Aging and Elderly Care Market Revenue (US$ Million) Estimates and Forecasts by Application, 2021-2034
10.5.3.    Middle East & Africa Artificial Intelligence in Aging and Elderly Care Market Revenue (US$ Million) Estimates and Forecasts by End-User, 2021-2034
10.5.4.    North America Artificial Intelligence in Aging and Elderly Care Market Revenue (US$ Million) Estimates and Forecasts by Functional Area, 2021-2034
10.5.5.    Middle East & Africa Artificial Intelligence in Aging and Elderly Care Market Revenue (US$ Million) Estimates and Forecasts by Device 2021-2034
10.5.6.    Middle East & Africa Artificial Intelligence in Aging and Elderly Care Market Revenue (US$ Million) Estimates and Forecasts by country, 2021-2034

Chapter 11.    Competitive Landscape
11.1.    Major Mergers and Acquisitions/Strategic Alliances
11.2.    Company Profiles


11.2.1.    IBM Corporation
11.2.2.    Intel Corporation
11.2.3.    Google LLC
11.2.4.    Microsoft Corporation
11.2.5.    Amazon Web Services, Inc.
11.2.6.    NVIDIA Corporation
11.2.7.    Siemens Healthineers AG
11.2.8.    Oracle Corporation
11.2.9.    General Electric Company
11.2.10.    Medtronic PLC
11.2.11.    Koninklijke Philips N.V.
11.2.12.    Samsung Electronics Co., Ltd.
11.2.13.    CarePredict, Inc.
11.2.14.    Intuition Robotics
11.2.15.    Vayyar (Vayyar Care)
11.2.16.    Kami Vision (KamiCare)
11.2.17.    Nobi
11.2.18.    K4Connect, Inc.
11.2.19.    Aiva Health
11.2.20.    Best Buy Health
11.2.21.    GrandPad
11.2.22.    Other Prominent Players

Research Design and Approach

This study employed a multi-step, mixed-method research approach that integrates:

  • Secondary research
  • Primary research
  • Data triangulation
  • Hybrid top-down and bottom-up modelling
  • Forecasting and scenario analysis

This approach ensures a balanced and validated understanding of both macro- and micro-level market factors influencing the market.

Secondary Research

Secondary research for this study involved the collection, review, and analysis of publicly available and paid data sources to build the initial fact base, understand historical market behaviour, identify data gaps, and refine the hypotheses for primary research.

Sources Consulted

Secondary data for the market study was gathered from multiple credible sources, including:

  • Government databases, regulatory bodies, and public institutions
  • International organizations (WHO, OECD, IMF, World Bank, etc.)
  • Commercial and paid databases
  • Industry associations, trade publications, and technical journals
  • Company annual reports, investor presentations, press releases, and SEC filings
  • Academic research papers, patents, and scientific literature
  • Previous market research publications and syndicated reports

These sources were used to compile historical data, market volumes/prices, industry trends, technological developments, and competitive insights.

Secondary Research

Primary Research

Primary research was conducted to validate secondary data, understand real-time market dynamics, capture price points and adoption trends, and verify the assumptions used in the market modelling.

Stakeholders Interviewed

Primary interviews for this study involved:

  • Manufacturers and suppliers in the market value chain
  • Distributors, channel partners, and integrators
  • End-users / customers (e.g., hospitals, labs, enterprises, consumers, etc., depending on the market)
  • Industry experts, technology specialists, consultants, and regulatory professionals
  • Senior executives (CEOs, CTOs, VPs, Directors) and product managers

Interview Process

Interviews were conducted via:

  • Structured and semi-structured questionnaires
  • Telephonic and video interactions
  • Email correspondences
  • Expert consultation sessions

Primary insights were incorporated into demand modelling, pricing analysis, technology evaluation, and market share estimation.

Data Processing, Normalization, and Validation

All collected data were processed and normalized to ensure consistency and comparability across regions and time frames.

The data validation process included:

  • Standardization of units (currency conversions, volume units, inflation adjustments)
  • Cross-verification of data points across multiple secondary sources
  • Normalization of inconsistent datasets
  • Identification and resolution of data gaps
  • Outlier detection and removal through algorithmic and manual checks
  • Plausibility and coherence checks across segments and geographies

This ensured that the dataset used for modelling was clean, robust, and reliable.

Market Size Estimation and Data Triangulation

Bottom-Up Approach

The bottom-up approach involved aggregating segment-level data, such as:

  • Company revenues
  • Product-level sales
  • Installed base/usage volumes
  • Adoption and penetration rates
  • Pricing analysis

This method was primarily used when detailed micro-level market data were available.

Bottom Up Approach

Top-Down Approach

The top-down approach used macro-level indicators:

  • Parent market benchmarks
  • Global/regional industry trends
  • Economic indicators (GDP, demographics, spending patterns)
  • Penetration and usage ratios

This approach was used for segments where granular data were limited or inconsistent.

Hybrid Triangulation Approach

To ensure accuracy, a triangulated hybrid model was used. This included:

  • Reconciling top-down and bottom-up estimates
  • Cross-checking revenues, volumes, and pricing assumptions
  • Incorporating expert insights to validate segment splits and adoption rates

This multi-angle validation yielded the final market size.

Forecasting Framework and Scenario Modelling

Market forecasts were developed using a combination of time-series modelling, adoption curve analysis, and driver-based forecasting tools.

Forecasting Methods

  • Time-series modelling
  • S-curve and diffusion models (for emerging technologies)
  • Driver-based forecasting (GDP, disposable income, adoption rates, regulatory changes)
  • Price elasticity models
  • Market maturity and lifecycle-based projections

Scenario Analysis

Given inherent uncertainties, three scenarios were constructed:

  • Base-Case Scenario: Expected trajectory under current conditions
  • Optimistic Scenario: High adoption, favourable regulation, strong economic tailwinds
  • Conservative Scenario: Slow adoption, regulatory delays, economic constraints

Sensitivity testing was conducted on key variables, including pricing, demand elasticity, and regional adoption.

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Frequently Asked Questions

AI in Aging and Elderly Care Market Size was valued at USD 47.4 Bn in 2024 and is predicted to reach USD 322.4 Bn by 2034

AI in Aging and Elderly Care Market is expected to grow at a 21.2% CAGR during the forecast period for 2025 to 2034.

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., CarePredict, Inc., Intuition Robotics, Vayyar (Vayyar Care), Kami Vision (KamiCare), Nobi, K4Connect, Inc., Aiva Health, Best Buy Health, GrandPad and others

AI in the aging and elderly care market is segmented based on Solution Type, Functional Area, Application, End User and Device.

North American region is leading the AI in Aging and Elderly Care Market.

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