Global AI Disease Detection 麻豆原创 Research Report 2025

Publication ID:

PB505252862

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 Disease 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 disease detection refers to the use of artificial intelligence technology to analyze and detect various diseases and medical conditions. By utilizing machine learning algorithms and data analysis techniques, AI Disease Detection can assist in the interpretation of medical images, identification of disease biomarkers, analysis of patient data, and prediction of disease outcomes. It aims to support healthcare professionals in accurate and timely diagnosis, treatment planning, and disease management.
North American market for AI Disease 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 Disease 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 Disease Detection in Hospital 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 Disease Detection include Nuvoola, Oatmeal Health, NIRAMAI, iCAD, MultiplAI Health, Medicus AI, AEYE Health, NURA, Kheiron, Aidoc, 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 Disease 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 Disease Detection.
The AI Disease 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 Disease 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 Disease 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.
麻豆原创 Segmentation
By Company
Nuvoola
Oatmeal Health
NIRAMAI
iCAD
MultiplAI Health
Medicus AI
AEYE Health
NURA
Kheiron
Aidoc
Aiberry
Ellipsis Health
Omdena
Innowise Group
Syndell
Klizo Solutions
Wysa
Segment by Type
Physical Ailment
Mental Illness
Segment by Application
Hospital
Enterprise
Individual
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 Disease 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 麻豆原创 Analysis by Type
1.2.1 Global AI Disease Detection 麻豆原创 Size Growth Rate by Type: 2020 VS 2024 VS 2031
1.2.2 Physical Ailment
1.2.3 Mental Illness
1.3 麻豆原创 by Application
1.3.1 Global AI Disease Detection 麻豆原创 Growth by Application: 2020 VS 2024 VS 2031
1.3.2 Hospital
1.3.3 Enterprise
1.3.4 Individual
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 Disease Detection 麻豆原创 Perspective (2020-2031)
2.2 Global AI Disease Detection Growth Trends by Region
2.2.1 Global AI Disease Detection 麻豆原创 Size by Region: 2020 VS 2024 VS 2031
2.2.2 AI Disease Detection Historic 麻豆原创 Size by Region (2020-2025)
2.2.3 AI Disease Detection Forecasted 麻豆原创 Size by Region (2026-2031)
2.3 AI Disease Detection 麻豆原创 Dynamics
2.3.1 AI Disease Detection Industry Trends
2.3.2 AI Disease Detection 麻豆原创 Drivers
2.3.3 AI Disease Detection 麻豆原创 Challenges
2.3.4 AI Disease Detection 麻豆原创 Restraints
3 Competition Landscape by Key Players
3.1 Global Top AI Disease Detection Players by Revenue
3.1.1 Global Top AI Disease Detection Players by Revenue (2020-2025)
3.1.2 Global AI Disease Detection Revenue 麻豆原创 Share by Players (2020-2025)
3.2 Global AI Disease Detection 麻豆原创 Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Global Key Players Ranking by AI Disease Detection Revenue
3.4 Global AI Disease Detection 麻豆原创 Concentration Ratio
3.4.1 Global AI Disease Detection 麻豆原创 Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by AI Disease Detection Revenue in 2024
3.5 Global Key Players of AI Disease Detection Head office and Area Served
3.6 Global Key Players of AI Disease Detection, Product and Application
3.7 Global Key Players of AI Disease Detection, Date of Enter into This Industry
3.8 Mergers & Acquisitions, Expansion Plans
4 AI Disease Detection Breakdown Data by Type
4.1 Global AI Disease Detection Historic 麻豆原创 Size by Type (2020-2025)
4.2 Global AI Disease Detection Forecasted 麻豆原创 Size by Type (2026-2031)
5 AI Disease Detection Breakdown Data by Application
5.1 Global AI Disease Detection Historic 麻豆原创 Size by Application (2020-2025)
5.2 Global AI Disease Detection Forecasted 麻豆原创 Size by Application (2026-2031)
6 North America
6.1 North America AI Disease Detection 麻豆原创 Size (2020-2031)
6.2 North America AI Disease Detection 麻豆原创 Growth Rate by Country: 2020 VS 2024 VS 2031
6.3 North America AI Disease Detection 麻豆原创 Size by Country (2020-2025)
6.4 North America AI Disease Detection 麻豆原创 Size by Country (2026-2031)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe AI Disease Detection 麻豆原创 Size (2020-2031)
7.2 Europe AI Disease Detection 麻豆原创 Growth Rate by Country: 2020 VS 2024 VS 2031
7.3 Europe AI Disease Detection 麻豆原创 Size by Country (2020-2025)
7.4 Europe AI Disease Detection 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 Disease Detection 麻豆原创 Size (2020-2031)
8.2 Asia-Pacific AI Disease Detection 麻豆原创 Growth Rate by Region: 2020 VS 2024 VS 2031
8.3 Asia-Pacific AI Disease Detection 麻豆原创 Size by Region (2020-2025)
8.4 Asia-Pacific AI Disease Detection 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 Disease Detection 麻豆原创 Size (2020-2031)
9.2 Latin America AI Disease Detection 麻豆原创 Growth Rate by Country: 2020 VS 2024 VS 2031
9.3 Latin America AI Disease Detection 麻豆原创 Size by Country (2020-2025)
9.4 Latin America AI Disease Detection 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 Disease Detection 麻豆原创 Size (2020-2031)
10.2 Middle East & Africa AI Disease Detection 麻豆原创 Growth Rate by Country: 2020 VS 2024 VS 2031
10.3 Middle East & Africa AI Disease Detection 麻豆原创 Size by Country (2020-2025)
10.4 Middle East & Africa AI Disease Detection 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 Nuvoola
11.1.1 Nuvoola Company Details
11.1.2 Nuvoola Business Overview
11.1.3 Nuvoola AI Disease Detection Introduction
11.1.4 Nuvoola Revenue in AI Disease Detection Business (2020-2025)
11.1.5 Nuvoola Recent Development
11.2 Oatmeal Health
11.2.1 Oatmeal Health Company Details
11.2.2 Oatmeal Health Business Overview
11.2.3 Oatmeal Health AI Disease Detection Introduction
11.2.4 Oatmeal Health Revenue in AI Disease Detection Business (2020-2025)
11.2.5 Oatmeal Health Recent Development
11.3 NIRAMAI
11.3.1 NIRAMAI Company Details
11.3.2 NIRAMAI Business Overview
11.3.3 NIRAMAI AI Disease Detection Introduction
11.3.4 NIRAMAI Revenue in AI Disease Detection Business (2020-2025)
11.3.5 NIRAMAI Recent Development
11.4 iCAD
11.4.1 iCAD Company Details
11.4.2 iCAD Business Overview
11.4.3 iCAD AI Disease Detection Introduction
11.4.4 iCAD Revenue in AI Disease Detection Business (2020-2025)
11.4.5 iCAD Recent Development
11.5 MultiplAI Health
11.5.1 MultiplAI Health Company Details
11.5.2 MultiplAI Health Business Overview
11.5.3 MultiplAI Health AI Disease Detection Introduction
11.5.4 MultiplAI Health Revenue in AI Disease Detection Business (2020-2025)
11.5.5 MultiplAI Health Recent Development
11.6 Medicus AI
11.6.1 Medicus AI Company Details
11.6.2 Medicus AI Business Overview
11.6.3 Medicus AI AI Disease Detection Introduction
11.6.4 Medicus AI Revenue in AI Disease Detection Business (2020-2025)
11.6.5 Medicus AI Recent Development
11.7 AEYE Health
11.7.1 AEYE Health Company Details
11.7.2 AEYE Health Business Overview
11.7.3 AEYE Health AI Disease Detection Introduction
11.7.4 AEYE Health Revenue in AI Disease Detection Business (2020-2025)
11.7.5 AEYE Health Recent Development
11.8 NURA
11.8.1 NURA Company Details
11.8.2 NURA Business Overview
11.8.3 NURA AI Disease Detection Introduction
11.8.4 NURA Revenue in AI Disease Detection Business (2020-2025)
11.8.5 NURA Recent Development
11.9 Kheiron
11.9.1 Kheiron Company Details
11.9.2 Kheiron Business Overview
11.9.3 Kheiron AI Disease Detection Introduction
11.9.4 Kheiron Revenue in AI Disease Detection Business (2020-2025)
11.9.5 Kheiron Recent Development
11.10 Aidoc
11.10.1 Aidoc Company Details
11.10.2 Aidoc Business Overview
11.10.3 Aidoc AI Disease Detection Introduction
11.10.4 Aidoc Revenue in AI Disease Detection Business (2020-2025)
11.10.5 Aidoc Recent Development
11.11 Aiberry
11.11.1 Aiberry Company Details
11.11.2 Aiberry Business Overview
11.11.3 Aiberry AI Disease Detection Introduction
11.11.4 Aiberry Revenue in AI Disease Detection Business (2020-2025)
11.11.5 Aiberry Recent Development
11.12 Ellipsis Health
11.12.1 Ellipsis Health Company Details
11.12.2 Ellipsis Health Business Overview
11.12.3 Ellipsis Health AI Disease Detection Introduction
11.12.4 Ellipsis Health Revenue in AI Disease Detection Business (2020-2025)
11.12.5 Ellipsis Health Recent Development
11.13 Omdena
11.13.1 Omdena Company Details
11.13.2 Omdena Business Overview
11.13.3 Omdena AI Disease Detection Introduction
11.13.4 Omdena Revenue in AI Disease Detection Business (2020-2025)
11.13.5 Omdena Recent Development
11.14 Innowise Group
11.14.1 Innowise Group Company Details
11.14.2 Innowise Group Business Overview
11.14.3 Innowise Group AI Disease Detection Introduction
11.14.4 Innowise Group Revenue in AI Disease Detection Business (2020-2025)
11.14.5 Innowise Group Recent Development
11.15 Syndell
11.15.1 Syndell Company Details
11.15.2 Syndell Business Overview
11.15.3 Syndell AI Disease Detection Introduction
11.15.4 Syndell Revenue in AI Disease Detection Business (2020-2025)
11.15.5 Syndell Recent Development
11.16 Klizo Solutions
11.16.1 Klizo Solutions Company Details
11.16.2 Klizo Solutions Business Overview
11.16.3 Klizo Solutions AI Disease Detection Introduction
11.16.4 Klizo Solutions Revenue in AI Disease Detection Business (2020-2025)
11.16.5 Klizo Solutions Recent Development
11.17 Wysa
11.17.1 Wysa Company Details
11.17.2 Wysa Business Overview
11.17.3 Wysa AI Disease Detection Introduction
11.17.4 Wysa Revenue in AI Disease Detection Business (2020-2025)
11.17.5 Wysa 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:

Nuvoola
Oatmeal Health
NIRAMAI
iCAD
MultiplAI Health
Medicus AI
AEYE Health
NURA
Kheiron
Aidoc
Aiberry
Ellipsis Health
Omdena
Innowise Group
Syndell
Klizo Solutions
Wysa

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