Industry: Service & Software
Published Date: 2025-09-06
Pages: 91 Pages
Report ld: 4957188
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AI in Elderly Care Market Size(US$)

CAGR 2025-2031
20.4%
Market Size,2031
USD 5,356
Million
Market Snapshot
Source: Secondary research, interviews with experts, and QYResearch analysis
The global AI in Elderly Care market size was US$ 1488 million in 2024 and is forecast to a readjusted size of US$ 5356 million by 2031 with a CAGR of 20.4% during the forecast period 2025-2031.
AI in Elderly Care is the integration of artificial intelligence technologies into the provision of care services for the elderly. This includes the use of AI-powered tools, systems, and applications to assist in various aspects of elderly care, such as monitoring health conditions, providing companionship, facilitating communication, managing daily tasks, and ensuring overall well-being.
The North America AI in Elderly Care market size was US$ million in 2024, while Europe was US$ million. The proportion of the North America was % in 2024, while Europe percentage was %, and it is predicted that Europe share will reach % in 2031, trailing a CAGR of % through the analysis period.
The global key players of AI in Elderly Care include LIPSCare, CarePredict, InteliCare, Intuition Robotics, Aiva Health, K4Connect, UBTECH ROBOTICS, Rapid Innovation, Cera Care, Sensi, etc. In 2024, the global top five players occupied for a share approximately % in terms of revenue.
In North America, in terms of revenue, in 2024, the top three players hold a share about %, while in Europe, top three players hold a share nearly %.
The global AI in Elderly Care market is strategically segmented by company, region (country), by Type, and by Application. This report empowers stakeholders to capitalize on emerging opportunities, optimize product strategies, and outperform competitors through data-driven insights on revenue and forecasts across regions, by Type, and by Application for 2020-2031.
MARKET SEGMENTATION
CHAPTER OUTLINE
Chapter 1: Report scope, executive summary, and market evolution scenarios (short/mid/long term).
Chapter 2: Quantitative analysis of AI in Elderly Care market size and growth potential at global, regional, and country levels.
Chapter 3: Competitive benchmarking of manufacturers (revenue, market share, M&A, R&D focus).
Chapter 4: Type-based segmentation analysis – Uncovering blue ocean markets (e.g., Software in China).
Chapter 5: Application-based segmentation analysis – High-growth downstream opportunities (e.g., Home Care in India).
Chapter 6: Regional revenue breakdown by company, type, application and customer.
Chapter 7: Key manufacturer profiles – Financials, product portfolios, and strategic developments.
Chapter 8: Market dynamics – Drivers, restraints, regulatory impacts, and risk mitigation strategies.
Chapter 9: Actionable conclusions and strategic recommendations.
WHY THIS REPORT
Beyond standard market data, this analysis provides a clear profitability roadmap, empowering you to:
Unlike generic global market reports, this study combines macro-level industry trends with hyper-local operational intelligence, empowering data-driven decisions across the AI in Elderly Care value chain, addressing:
- Market entry risks/opportunities by region
- Product mix optimization based on local practices
- Competitor tactics in fragmented vs. consolidated markets
QYRESEARCH'S STRENGTHS
Unlike generic global market reports, this study combines macro-level industry trends with hyper-local operational intelligence, empowering data-driven decisions across the Compound Chocolate value chain, addressing:
We identify regional market threats and growth prospects to guide your overseas layout.
We adjust product portfolios in line with local consumption habits.
We unpack rivals’ operation strategies for scattered and highly concentrated industries.
We cover competition landscape, full supply chain and quantified market size data, and deliver tailor-made customized surveys to meet your unique business demands.
We own self-owned massive exclusive databases, backed by 19 years of global market research experience across thousands of sectors.
Our team operates 24 hours a day, 365 days a year, enabling ultra-fast report turnaround to respond to your research needs efficiently.
We integrate regional risk assessment, localized product optimization and competitor analysis to deliver actionable market strategies.
All data is cross-verified from multiple industry sources to deliver thorough, precise analysis that supports reliable corporate strategic decisions.
We provide responsive, dedicated after-sales support to resolve all follow-up inquiries about reports, data and industry interpretation.
TABLE OF CONTENTS
1 Report Overview
1.1 Study Scope
1.2 Market by Type
1.2.1 Global Market Size Growth by Type: 2020 VS 2024 VS 2031
1.2.2 Hardware
1.2.3 Software
1.3 Market by Application
1.3.1 Global Market Share by Application: 2020 VS 2024 VS 2031
1.3.2 Medical Institutions
1.3.3 Home Care
1.3.4 Others
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Global Growth Trends
2.1 Global AI in Elderly Care Market Perspective (2020-2031)
2.2 Global Market Size by Region: 2020 VS 2024 VS 2031
2.3 Global AI in Elderly Care Revenue Market Share by Region (2020-2025)
2.4 Global AI in Elderly Care Revenue Forecast by Region (2026-2031)
2.5 Major Region and Emerging Market Analysis
2.5.1 North America AI in Elderly Care Market Size and Prospective (2020-2031)
2.5.2 Europe AI in Elderly Care Market Size and Prospective (2020-2031)
2.5.3 Asia-Pacific AI in Elderly Care Market Size and Prospective (2020-2031)
2.5.4 Latin America AI in Elderly Care Market Size and Prospective (2020-2031)
2.5.5 Middle East & Africa AI in Elderly Care Market Size and Prospective (2020-2031)
3 Breakdown Data by Type
3.1 Global AI in Elderly Care Historic Market Size by Type (2020-2025)
3.2 Global AI in Elderly Care Forecasted Market Size by Type (2026-2031)
3.3 Different Types AI in Elderly Care Representative Players
4 Breakdown Data by Application
4.1 Global AI in Elderly Care Historic Market Size by Application (2020-2025)
4.2 Global AI in Elderly Care Forecasted Market Size by Application (2026-2031)
4.3 New Sources of Growth in AI in Elderly Care Application
5 Competition Landscape by Players
5.1 Global Top Players by Revenue
5.1.1 Global Top AI in Elderly Care Players by Revenue (2020-2025)
5.1.2 Global AI in Elderly Care Revenue Market Share by Players (2020-2025)
5.2 Global Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
5.3 Players Covered: Ranking by AI in Elderly Care Revenue
5.4 Global AI in Elderly Care Market Concentration Analysis
5.4.1 Global AI in Elderly Care Market Concentration Ratio (CR5 and HHI)
5.4.2 Global Top 10 and Top 5 Companies by AI in Elderly Care Revenue in 2024
5.5 Global Key Players of AI in Elderly Care Head office and Area Served
5.6 Global Key Players of AI in Elderly Care, Product and Application
5.7 Global Key Players of AI in Elderly Care, Date of Enter into This Industry
5.8 Mergers & Acquisitions, Expansion Plans
6 Region Analysis
6.1 North America Market: Players, Segments and Downstream
6.1.1 North America AI in Elderly Care Revenue by Company (2020-2025)
6.1.2 North America Market Size by Type
6.1.2.1 North America AI in Elderly Care Market Size by Type (2020-2025)
6.1.2.2 North America AI in Elderly Care Market Share by Type (2020-2025)
6.1.3 North America Market Size by Application
6.1.3.1 North America AI in Elderly Care Market Size by Application (2020-2025)
6.1.3.2 North America AI in Elderly Care Market Share by Application (2020-2025)
6.1.4 North America Market Trend and Opportunities
6.2 Europe Market: Players, Segments and Downstream
6.2.1 Europe AI in Elderly Care Revenue by Company (2020-2025)
6.2.2 Europe Market Size by Type
6.2.2.1 Europe AI in Elderly Care Market Size by Type (2020-2025)
6.2.2.2 Europe AI in Elderly Care Market Share by Type (2020-2025)
6.2.3 Europe Market Size by Application
6.2.3.1 Europe AI in Elderly Care Market Size by Application (2020-2025)
6.2.3.2 Europe AI in Elderly Care Market Share by Application (2020-2025)
6.2.4 Europe Market Trend and Opportunities
6.3 Asia-Pacific Market: Players, Segments and Downstream
6.3.1 Asia-Pacific AI in Elderly Care Revenue by Company (2020-2025)
6.3.2 Asia-Pacific Market Size by Type
6.3.2.1 Asia-Pacific AI in Elderly Care Market Size by Type (2020-2025)
6.3.2.2 Asia-Pacific AI in Elderly Care Market Share by Type (2020-2025)
6.3.3 Asia-Pacific Market Size by Application
6.3.3.1 Asia-Pacific AI in Elderly Care Market Size by Application (2020-2025)
6.3.3.2 Asia-Pacific AI in Elderly Care Market Share by Application (2020-2025)
6.3.4 Asia-Pacific Market Trend and Opportunities
6.4 Latin America Market: Players, Segments and Downstream
6.4.1 Latin America AI in Elderly Care Revenue by Company (2020-2025)
6.4.2 Latin America Market Size by Type
6.4.2.1 Latin America AI in Elderly Care Market Size by Type (2020-2025)
6.4.2.2 Latin America AI in Elderly Care Market Share by Type (2020-2025)
6.4.3 Latin America Market Size by Application
6.4.3.1 Latin America AI in Elderly Care Market Size by Application (2020-2025)
6.4.3.2 Latin America AI in Elderly Care Market Share by Application (2020-2025)
6.4.4 Latin America Market Trend and Opportunities
6.5 Middle East & Africa Market: Players, Segments and Downstream
6.5.1 Middle East & Africa AI in Elderly Care Revenue by Company (2020-2025)
6.5.2 Middle East & Africa Market Size by Type
6.5.2.1 Middle East & Africa AI in Elderly Care Market Size by Type (2020-2025)
6.5.2.2 Middle East & Africa AI in Elderly Care Market Share by Type (2020-2025)
6.5.3 Middle East & Africa Market Size by Application
6.5.3.1 Middle East & Africa AI in Elderly Care Market Size by Application (2020-2025)
6.5.3.2 Middle East & Africa AI in Elderly Care Market Share by Application (2020-2025)
6.5.4 Middle East & Africa Market Trend and Opportunities
7 Key Players Profiles
7.1 LIPSCare
7.1.1 LIPSCare Company Details
7.1.2 LIPSCare Business Overview
7.1.3 LIPSCare AI in Elderly Care Introduction
7.1.4 LIPSCare Revenue in AI in Elderly Care Business (2020-2025)
7.1.5 LIPSCare Recent Development
7.2 CarePredict
7.2.1 CarePredict Company Details
7.2.2 CarePredict Business Overview
7.2.3 CarePredict AI in Elderly Care Introduction
7.2.4 CarePredict Revenue in AI in Elderly Care Business (2020-2025)
7.2.5 CarePredict Recent Development
7.3 InteliCare
7.3.1 InteliCare Company Details
7.3.2 InteliCare Business Overview
7.3.3 InteliCare AI in Elderly Care Introduction
7.3.4 InteliCare Revenue in AI in Elderly Care Business (2020-2025)
7.3.5 InteliCare Recent Development
7.4 Intuition Robotics
7.4.1 Intuition Robotics Company Details
7.4.2 Intuition Robotics Business Overview
7.4.3 Intuition Robotics AI in Elderly Care Introduction
7.4.4 Intuition Robotics Revenue in AI in Elderly Care Business (2020-2025)
7.4.5 Intuition Robotics Recent Development
7.5 Aiva Health
7.5.1 Aiva Health Company Details
7.5.2 Aiva Health Business Overview
7.5.3 Aiva Health AI in Elderly Care Introduction
7.5.4 Aiva Health Revenue in AI in Elderly Care Business (2020-2025)
7.5.5 Aiva Health Recent Development
7.6 K4Connect
7.6.1 K4Connect Company Details
7.6.2 K4Connect Business Overview
7.6.3 K4Connect AI in Elderly Care Introduction
7.6.4 K4Connect Revenue in AI in Elderly Care Business (2020-2025)
7.6.5 K4Connect Recent Development
7.7 UBTECH ROBOTICS
7.7.1 UBTECH ROBOTICS Company Details
7.7.2 UBTECH ROBOTICS Business Overview
7.7.3 UBTECH ROBOTICS AI in Elderly Care Introduction
7.7.4 UBTECH ROBOTICS Revenue in AI in Elderly Care Business (2020-2025)
7.7.5 UBTECH ROBOTICS Recent Development
7.8 Rapid Innovation
7.8.1 Rapid Innovation Company Details
7.8.2 Rapid Innovation Business Overview
7.8.3 Rapid Innovation AI in Elderly Care Introduction
7.8.4 Rapid Innovation Revenue in AI in Elderly Care Business (2020-2025)
7.8.5 Rapid Innovation Recent Development
7.9 Cera Care
7.9.1 Cera Care Company Details
7.9.2 Cera Care Business Overview
7.9.3 Cera Care AI in Elderly Care Introduction
7.9.4 Cera Care Revenue in AI in Elderly Care Business (2020-2025)
7.9.5 Cera Care Recent Development
7.10 Sensi
7.10.1 Sensi Company Details
7.10.2 Sensi Business Overview
7.10.3 Sensi AI in Elderly Care Introduction
7.10.4 Sensi Revenue in AI in Elderly Care Business (2020-2025)
7.10.5 Sensi Recent Development
7.11 TENCENT
7.11.1 TENCENT Company Details
7.11.2 TENCENT Business Overview
7.11.3 TENCENT AI in Elderly Care Introduction
7.11.4 TENCENT Revenue in AI in Elderly Care Business (2020-2025)
7.11.5 TENCENT Recent Development
7.12 Tsingray Technology
7.12.1 Tsingray Technology Company Details
7.12.2 Tsingray Technology Business Overview
7.12.3 Tsingray Technology AI in Elderly Care Introduction
7.12.4 Tsingray Technology Revenue in AI in Elderly Care Business (2020-2025)
7.12.5 Tsingray Technology Recent Development
8 AI in Elderly Care Market Dynamics
8.1 AI in Elderly Care Industry Trends
8.2 AI in Elderly Care Market Drivers
8.3 AI in Elderly Care Market Challenges
8.4 AI in Elderly Care Market Restraints
9 Research Findings and Conclusion
10 Appendix
10.1 Research Methodology
10.1.1 Methodology/Research Approach
10.1.1.1 Research Programs/Design
10.1.1.2 Market Size Estimation
10.1.1.3 Market Breakdown and Data Triangulation
10.1.2 Data Source
10.1.2.1 Secondary Sources
10.1.2.2 Primary Sources
10.2 Author Details
10.3 Disclaimer
TABLE OF FIGURES
List of Tables
List of Figures
KEY QUESTIONS ADDRESSED BY THE REPORT
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REPORT COVERAGE
DESCRIPTION
OVERVIEW
MARKET SEGMENTATION
CHAPTER OUTLINE
WHY THIS REPORT
QYRESEARCH'S STRENGTHS
TABLE OF CONTENTS
TABLE OF FIGURES
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