Global AI Elderly Care Safety Monitoring Platform 麻豆原创 Research Report 2025

Publication ID:

PB501250031

Publication Date:

January 15, 2025

Pages:

Publisher:

MRRPB5

Countries:

Global [1]

USD 2,900.00

IT Services [2]

Computing & Electronics [3]

Description:

The global market for AI Elderly Care Safety Monitoring Platform was valued at US$ 321 million in the year 2024 and is projected to reach a revised size of US$ 547 million by 2031, growing at a CAGR of 8.0% during the forecast period.
The AI 鈥嬧€媏lderly care monitoring platform is an elderly care service management platform that integrates artificial intelligence technology. It has functions such as fall monitoring and alarming, AI loss prevention, and daily snapshots. It can achieve high online and offline linkage, aiming to improve the quality and quality of elderly care services. efficiency, while enhancing the safety and well-being of older people鈥檚 lives.
North American market for AI Elderly Care Safety Monitoring Platform is estimated to increase from $ million in 2024 to reach $ million by 2031, at a CAGR of % during the forecast period of 2025 through 2031.
Asia-Pacific market for AI Elderly Care Safety Monitoring Platform is estimated to increase from $ million in 2024 to reach $ million by 2031, at a CAGR of % during the forecast period of 2025 through 2031.
The global market for AI Elderly Care Safety Monitoring Platform in Community is estimated to increase from $ million in 2024 to $ million by 2031, at a CAGR of % during the forecast period of 2025 through 2031.
The major global companies of AI Elderly Care Safety Monitoring Platform include VSTAlert, Inspir Carnegie Hill, Caspar AI, Foresite, Ali Health, Zhishu Dakang, Sensi, etc. In 2024, the world's top three vendors accounted for approximately % of the revenue.
This report aims to provide a comprehensive presentation of the global market for AI Elderly Care Safety Monitoring Platform, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding AI Elderly Care Safety Monitoring Platform.
The AI Elderly Care Safety Monitoring Platform market size, estimations, and forecasts are provided in terms of and revenue ($ millions), considering 2024 as the base year, with history and forecast data for the period from 2020 to 2031. This report segments the global AI Elderly Care Safety Monitoring Platform market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the AI Elderly Care Safety Monitoring Platform companies, new entrants, and industry chain related companies in this market with information on the revenues for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
麻豆原创 Segmentation
By Company
VSTAlert
Inspir Carnegie Hill
Caspar AI
Foresite
Ali Health
Zhishu Dakang
Sensi
Segment by Type
Fall Monitoring and Warning System
AI Finds People and Prevents Them From Getting Lost System
Daily Snapshots System
Segment by Application
Community
Medical Institution
麻豆原创
By Region
North America
United States
Canada
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Europe
Germany
France
U.K.
Italy
Russia
Nordic Countries
Rest of Europe
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by Application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of AI Elderly Care Safety Monitoring Platform company competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 11: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.

Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.

Table Of Contents:

1 Report Overview
1.1 Study Scope
1.2 麻豆原创 Analysis by Type
1.2.1 Global AI Elderly Care Safety Monitoring Platform 麻豆原创 Size Growth Rate by Type: 2020 VS 2024 VS 2031
1.2.2 Fall Monitoring and Warning System
1.2.3 AI Finds People and Prevents Them From Getting Lost System
1.2.4 Daily Snapshots System
1.3 麻豆原创 by Application
1.3.1 Global AI Elderly Care Safety Monitoring Platform 麻豆原创 Growth by Application: 2020 VS 2024 VS 2031
1.3.2 Community
1.3.3 Medical Institution
1.3.4 麻豆原创
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Global Growth Trends
2.1 Global AI Elderly Care Safety Monitoring Platform 麻豆原创 Perspective (2020-2031)
2.2 Global AI Elderly Care Safety Monitoring Platform Growth Trends by Region
2.2.1 Global AI Elderly Care Safety Monitoring Platform 麻豆原创 Size by Region: 2020 VS 2024 VS 2031
2.2.2 AI Elderly Care Safety Monitoring Platform Historic 麻豆原创 Size by Region (2020-2025)
2.2.3 AI Elderly Care Safety Monitoring Platform Forecasted 麻豆原创 Size by Region (2026-2031)
2.3 AI Elderly Care Safety Monitoring Platform 麻豆原创 Dynamics
2.3.1 AI Elderly Care Safety Monitoring Platform Industry Trends
2.3.2 AI Elderly Care Safety Monitoring Platform 麻豆原创 Drivers
2.3.3 AI Elderly Care Safety Monitoring Platform 麻豆原创 Challenges
2.3.4 AI Elderly Care Safety Monitoring Platform 麻豆原创 Restraints
3 Competition Landscape by Key Players
3.1 Global Top AI Elderly Care Safety Monitoring Platform Players by Revenue
3.1.1 Global Top AI Elderly Care Safety Monitoring Platform Players by Revenue (2020-2025)
3.1.2 Global AI Elderly Care Safety Monitoring Platform Revenue 麻豆原创 Share by Players (2020-2025)
3.2 Global Top AI Elderly Care Safety Monitoring Platform Players by Company Type and 麻豆原创 Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Global Key Players Ranking by AI Elderly Care Safety Monitoring Platform Revenue
3.4 Global AI Elderly Care Safety Monitoring Platform 麻豆原创 Concentration Ratio
3.4.1 Global AI Elderly Care Safety Monitoring Platform 麻豆原创 Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by AI Elderly Care Safety Monitoring Platform Revenue in 2024
3.5 Global Key Players of AI Elderly Care Safety Monitoring Platform Head office and Area Served
3.6 Global Key Players of AI Elderly Care Safety Monitoring Platform, Product and Application
3.7 Global Key Players of AI Elderly Care Safety Monitoring Platform, Date of Enter into This Industry
3.8 Mergers & Acquisitions, Expansion Plans
4 AI Elderly Care Safety Monitoring Platform Breakdown Data by Type
4.1 Global AI Elderly Care Safety Monitoring Platform Historic 麻豆原创 Size by Type (2020-2025)
4.2 Global AI Elderly Care Safety Monitoring Platform Forecasted 麻豆原创 Size by Type (2026-2031)
5 AI Elderly Care Safety Monitoring Platform Breakdown Data by Application
5.1 Global AI Elderly Care Safety Monitoring Platform Historic 麻豆原创 Size by Application (2020-2025)
5.2 Global AI Elderly Care Safety Monitoring Platform Forecasted 麻豆原创 Size by Application (2026-2031)
6 North America
6.1 North America AI Elderly Care Safety Monitoring Platform 麻豆原创 Size (2020-2031)
6.2 North America AI Elderly Care Safety Monitoring Platform 麻豆原创 Growth Rate by Country: 2020 VS 2024 VS 2031
6.3 North America AI Elderly Care Safety Monitoring Platform 麻豆原创 Size by Country (2020-2025)
6.4 North America AI Elderly Care Safety Monitoring Platform 麻豆原创 Size by Country (2026-2031)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe AI Elderly Care Safety Monitoring Platform 麻豆原创 Size (2020-2031)
7.2 Europe AI Elderly Care Safety Monitoring Platform 麻豆原创 Growth Rate by Country: 2020 VS 2024 VS 2031
7.3 Europe AI Elderly Care Safety Monitoring Platform 麻豆原创 Size by Country (2020-2025)
7.4 Europe AI Elderly Care Safety Monitoring Platform 麻豆原创 Size by Country (2026-2031)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific AI Elderly Care Safety Monitoring Platform 麻豆原创 Size (2020-2031)
8.2 Asia-Pacific AI Elderly Care Safety Monitoring Platform 麻豆原创 Growth Rate by Region: 2020 VS 2024 VS 2031
8.3 Asia-Pacific AI Elderly Care Safety Monitoring Platform 麻豆原创 Size by Region (2020-2025)
8.4 Asia-Pacific AI Elderly Care Safety Monitoring Platform 麻豆原创 Size by Region (2026-2031)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America AI Elderly Care Safety Monitoring Platform 麻豆原创 Size (2020-2031)
9.2 Latin America AI Elderly Care Safety Monitoring Platform 麻豆原创 Growth Rate by Country: 2020 VS 2024 VS 2031
9.3 Latin America AI Elderly Care Safety Monitoring Platform 麻豆原创 Size by Country (2020-2025)
9.4 Latin America AI Elderly Care Safety Monitoring Platform 麻豆原创 Size by Country (2026-2031)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa AI Elderly Care Safety Monitoring Platform 麻豆原创 Size (2020-2031)
10.2 Middle East & Africa AI Elderly Care Safety Monitoring Platform 麻豆原创 Growth Rate by Country: 2020 VS 2024 VS 2031
10.3 Middle East & Africa AI Elderly Care Safety Monitoring Platform 麻豆原创 Size by Country (2020-2025)
10.4 Middle East & Africa AI Elderly Care Safety Monitoring Platform 麻豆原创 Size by Country (2026-2031)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 VSTAlert
11.1.1 VSTAlert Company Details
11.1.2 VSTAlert Business Overview
11.1.3 VSTAlert AI Elderly Care Safety Monitoring Platform Introduction
11.1.4 VSTAlert Revenue in AI Elderly Care Safety Monitoring Platform Business (2020-2025)
11.1.5 VSTAlert Recent Development
11.2 Inspir Carnegie Hill
11.2.1 Inspir Carnegie Hill Company Details
11.2.2 Inspir Carnegie Hill Business Overview
11.2.3 Inspir Carnegie Hill AI Elderly Care Safety Monitoring Platform Introduction
11.2.4 Inspir Carnegie Hill Revenue in AI Elderly Care Safety Monitoring Platform Business (2020-2025)
11.2.5 Inspir Carnegie Hill Recent Development
11.3 Caspar AI
11.3.1 Caspar AI Company Details
11.3.2 Caspar AI Business Overview
11.3.3 Caspar AI AI Elderly Care Safety Monitoring Platform Introduction
11.3.4 Caspar AI Revenue in AI Elderly Care Safety Monitoring Platform Business (2020-2025)
11.3.5 Caspar AI Recent Development
11.4 Foresite
11.4.1 Foresite Company Details
11.4.2 Foresite Business Overview
11.4.3 Foresite AI Elderly Care Safety Monitoring Platform Introduction
11.4.4 Foresite Revenue in AI Elderly Care Safety Monitoring Platform Business (2020-2025)
11.4.5 Foresite Recent Development
11.5 Ali Health
11.5.1 Ali Health Company Details
11.5.2 Ali Health Business Overview
11.5.3 Ali Health AI Elderly Care Safety Monitoring Platform Introduction
11.5.4 Ali Health Revenue in AI Elderly Care Safety Monitoring Platform Business (2020-2025)
11.5.5 Ali Health Recent Development
11.6 Zhishu Dakang
11.6.1 Zhishu Dakang Company Details
11.6.2 Zhishu Dakang Business Overview
11.6.3 Zhishu Dakang AI Elderly Care Safety Monitoring Platform Introduction
11.6.4 Zhishu Dakang Revenue in AI Elderly Care Safety Monitoring Platform Business (2020-2025)
11.6.5 Zhishu Dakang Recent Development
11.7 Sensi
11.7.1 Sensi Company Details
11.7.2 Sensi Business Overview
11.7.3 Sensi AI Elderly Care Safety Monitoring Platform Introduction
11.7.4 Sensi Revenue in AI Elderly Care Safety Monitoring Platform Business (2020-2025)
11.7.5 Sensi Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.1.1 Research Programs/Design
13.1.1.2 麻豆原创 Size Estimation
13.1.1.3 麻豆原创 Breakdown and Data Triangulation
13.1.2 Data Source
13.1.2.1 Secondary Sources
13.1.2.2 Primary Sources
13.2 Author Details
13.3 Disclaimer

Companies Mentioned:

VSTAlert
Inspir Carnegie Hill
Caspar AI
Foresite
Ali Health
Zhishu Dakang
Sensi

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