Global AI Physical Health Detection Market Research Report 2025

Publication ID:

PB505252860

Publication Date:

May 28, 2025

Pages:

Publisher:

MRRPB5

Countries:

Global [1]

USD 2,900.00

IT Services [2]

Computing & Electronics [3]

Description:

The global market for AI Physical Health Detection was valued at US$ million in the year 2024 and is projected to reach a revised size of US$ million by 2031, growing at a CAGR of %during the forecast period.
AI physical health detection involves the use of artificial intelligence technology to monitor, assess, and analyze an individual"s physical health status. It utilizes sensors, wearables, and other devices to collect data related to activities, vital signs, exercise performance, and overall physical well-being. By applying machine learning algorithms, AI Physical Health Detection can provide insights into health patterns, identify potential risks or anomalies, and offer personalized recommendations to improve physical fitness and well-being.
North American market for AI Physical Health Detection 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 Physical Health Detection 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 Physical Health Detection in Cancer 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 Physical Health Detection include Qure, Binah.ai, Applitools, Provectus, RetinaLyze System, Eyenuk, Celsius, NURA, Sight AI, ScreenPoint Medical, 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 Physical Health Detection, 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 Physical Health Detection.
The AI Physical Health Detection 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 Physical Health Detection 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 Physical Health Detection 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.
Market Segmentation
By Company
Qure
Binah.ai
Applitools
Provectus
RetinaLyze System
Eyenuk
Celsius
NURA
Sight AI
ScreenPoint Medical
RETINA-AI
Kheiron
Aidoc
Segment by Type
Image Analysis
Anomaly Detection
Others
Segment by Application
Cancer
Eye Disease
Cardiovascular Disease
Others
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 Physical Health Detection 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 Market Analysis by Type
1.2.1 Global AI Physical Health Detection Market Size Growth Rate by Type: 2020 VS 2024 VS 2031
1.2.2 Image Analysis
1.2.3 Anomaly Detection
1.2.4 Others
1.3 Market by Application
1.3.1 Global AI Physical Health Detection Market Growth by Application: 2020 VS 2024 VS 2031
1.3.2 Cancer
1.3.3 Eye Disease
1.3.4 Cardiovascular Disease
1.3.5 Others
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Global Growth Trends
2.1 Global AI Physical Health Detection Market Perspective (2020-2031)
2.2 Global AI Physical Health Detection Growth Trends by Region
2.2.1 Global AI Physical Health Detection Market Size by Region: 2020 VS 2024 VS 2031
2.2.2 AI Physical Health Detection Historic Market Size by Region (2020-2025)
2.2.3 AI Physical Health Detection Forecasted Market Size by Region (2026-2031)
2.3 AI Physical Health Detection Market Dynamics
2.3.1 AI Physical Health Detection Industry Trends
2.3.2 AI Physical Health Detection Market Drivers
2.3.3 AI Physical Health Detection Market Challenges
2.3.4 AI Physical Health Detection Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top AI Physical Health Detection Players by Revenue
3.1.1 Global Top AI Physical Health Detection Players by Revenue (2020-2025)
3.1.2 Global AI Physical Health Detection Revenue Market Share by Players (2020-2025)
3.2 Global AI Physical Health Detection Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Global Key Players Ranking by AI Physical Health Detection Revenue
3.4 Global AI Physical Health Detection Market Concentration Ratio
3.4.1 Global AI Physical Health Detection Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by AI Physical Health Detection Revenue in 2024
3.5 Global Key Players of AI Physical Health Detection Head office and Area Served
3.6 Global Key Players of AI Physical Health Detection, Product and Application
3.7 Global Key Players of AI Physical Health Detection, Date of Enter into This Industry
3.8 Mergers & Acquisitions, Expansion Plans
4 AI Physical Health Detection Breakdown Data by Type
4.1 Global AI Physical Health Detection Historic Market Size by Type (2020-2025)
4.2 Global AI Physical Health Detection Forecasted Market Size by Type (2026-2031)
5 AI Physical Health Detection Breakdown Data by Application
5.1 Global AI Physical Health Detection Historic Market Size by Application (2020-2025)
5.2 Global AI Physical Health Detection Forecasted Market Size by Application (2026-2031)
6 North America
6.1 North America AI Physical Health Detection Market Size (2020-2031)
6.2 North America AI Physical Health Detection Market Growth Rate by Country: 2020 VS 2024 VS 2031
6.3 North America AI Physical Health Detection Market Size by Country (2020-2025)
6.4 North America AI Physical Health Detection Market Size by Country (2026-2031)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe AI Physical Health Detection Market Size (2020-2031)
7.2 Europe AI Physical Health Detection Market Growth Rate by Country: 2020 VS 2024 VS 2031
7.3 Europe AI Physical Health Detection Market Size by Country (2020-2025)
7.4 Europe AI Physical Health Detection Market 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 Physical Health Detection Market Size (2020-2031)
8.2 Asia-Pacific AI Physical Health Detection Market Growth Rate by Region: 2020 VS 2024 VS 2031
8.3 Asia-Pacific AI Physical Health Detection Market Size by Region (2020-2025)
8.4 Asia-Pacific AI Physical Health Detection Market 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 Physical Health Detection Market Size (2020-2031)
9.2 Latin America AI Physical Health Detection Market Growth Rate by Country: 2020 VS 2024 VS 2031
9.3 Latin America AI Physical Health Detection Market Size by Country (2020-2025)
9.4 Latin America AI Physical Health Detection Market Size by Country (2026-2031)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa AI Physical Health Detection Market Size (2020-2031)
10.2 Middle East & Africa AI Physical Health Detection Market Growth Rate by Country: 2020 VS 2024 VS 2031
10.3 Middle East & Africa AI Physical Health Detection Market Size by Country (2020-2025)
10.4 Middle East & Africa AI Physical Health Detection Market Size by Country (2026-2031)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Qure
11.1.1 Qure Company Details
11.1.2 Qure Business Overview
11.1.3 Qure AI Physical Health Detection Introduction
11.1.4 Qure Revenue in AI Physical Health Detection Business (2020-2025)
11.1.5 Qure Recent Development
11.2 Binah.ai
11.2.1 Binah.ai Company Details
11.2.2 Binah.ai Business Overview
11.2.3 Binah.ai AI Physical Health Detection Introduction
11.2.4 Binah.ai Revenue in AI Physical Health Detection Business (2020-2025)
11.2.5 Binah.ai Recent Development
11.3 Applitools
11.3.1 Applitools Company Details
11.3.2 Applitools Business Overview
11.3.3 Applitools AI Physical Health Detection Introduction
11.3.4 Applitools Revenue in AI Physical Health Detection Business (2020-2025)
11.3.5 Applitools Recent Development
11.4 Provectus
11.4.1 Provectus Company Details
11.4.2 Provectus Business Overview
11.4.3 Provectus AI Physical Health Detection Introduction
11.4.4 Provectus Revenue in AI Physical Health Detection Business (2020-2025)
11.4.5 Provectus Recent Development
11.5 RetinaLyze System
11.5.1 RetinaLyze System Company Details
11.5.2 RetinaLyze System Business Overview
11.5.3 RetinaLyze System AI Physical Health Detection Introduction
11.5.4 RetinaLyze System Revenue in AI Physical Health Detection Business (2020-2025)
11.5.5 RetinaLyze System Recent Development
11.6 Eyenuk
11.6.1 Eyenuk Company Details
11.6.2 Eyenuk Business Overview
11.6.3 Eyenuk AI Physical Health Detection Introduction
11.6.4 Eyenuk Revenue in AI Physical Health Detection Business (2020-2025)
11.6.5 Eyenuk Recent Development
11.7 Celsius
11.7.1 Celsius Company Details
11.7.2 Celsius Business Overview
11.7.3 Celsius AI Physical Health Detection Introduction
11.7.4 Celsius Revenue in AI Physical Health Detection Business (2020-2025)
11.7.5 Celsius Recent Development
11.8 NURA
11.8.1 NURA Company Details
11.8.2 NURA Business Overview
11.8.3 NURA AI Physical Health Detection Introduction
11.8.4 NURA Revenue in AI Physical Health Detection Business (2020-2025)
11.8.5 NURA Recent Development
11.9 Sight AI
11.9.1 Sight AI Company Details
11.9.2 Sight AI Business Overview
11.9.3 Sight AI AI Physical Health Detection Introduction
11.9.4 Sight AI Revenue in AI Physical Health Detection Business (2020-2025)
11.9.5 Sight AI Recent Development
11.10 ScreenPoint Medical
11.10.1 ScreenPoint Medical Company Details
11.10.2 ScreenPoint Medical Business Overview
11.10.3 ScreenPoint Medical AI Physical Health Detection Introduction
11.10.4 ScreenPoint Medical Revenue in AI Physical Health Detection Business (2020-2025)
11.10.5 ScreenPoint Medical Recent Development
11.11 RETINA-AI
11.11.1 RETINA-AI Company Details
11.11.2 RETINA-AI Business Overview
11.11.3 RETINA-AI AI Physical Health Detection Introduction
11.11.4 RETINA-AI Revenue in AI Physical Health Detection Business (2020-2025)
11.11.5 RETINA-AI Recent Development
11.12 Kheiron
11.12.1 Kheiron Company Details
11.12.2 Kheiron Business Overview
11.12.3 Kheiron AI Physical Health Detection Introduction
11.12.4 Kheiron Revenue in AI Physical Health Detection Business (2020-2025)
11.12.5 Kheiron Recent Development
11.13 Aidoc
11.13.1 Aidoc Company Details
11.13.2 Aidoc Business Overview
11.13.3 Aidoc AI Physical Health Detection Introduction
11.13.4 Aidoc Revenue in AI Physical Health Detection Business (2020-2025)
11.13.5 Aidoc 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 Market Size Estimation
13.1.1.3 Market 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:

Qure
Binah.ai
Applitools
Provectus
RetinaLyze System
Eyenuk
Celsius
NURA
Sight AI
ScreenPoint Medical
RETINA-AI
Kheiron
Aidoc

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