Global Diabetic Retinopathy (DR) Artificial Intelligence Screening System Market 2025 by Company, Regions, Type and Application, Forecast to 2031
Description
According to our latest research, the global Diabetic Retinopathy (DR) Artificial Intelligence Screening System market size will reach USD 11500 million in 2031, growing at a CAGR of 82.8% over the analysis period.
Diabetic retinopathy (DR) represents a major cause of visual impairment in developed countries. The ever-growing incidence of DR and its complications necessitates new strategies to screen patients, prevent complications and optimize management. For this reason, DR is a major target of AI-based models, especially those that can be used for large-scale screening. AI models should recognize DR-related alterations, such as haemorrhages, exudates, cotton wool spots and neovascularization; and, starting from fundus images, establish the presence or absence of DR, and grade it according to the conventional DR grading scales.
Diabetes continues to rise throughout the United States and worldwide. Estimates show that the prevalence of diabetes mellitus will rise to 578 million people (10.2%) by the year 2030 and 700 million people (10.9%) by the year 2045. This increase in the prevalence of diabetes can also lead to a corresponding increase in diabetic complications, including nephropathy, cardiovascular disease, neuropathy, and retinopathy.
This report is a detailed and comprehensive analysis for global Diabetic Retinopathy (DR) Artificial Intelligence Screening System market. Both quantitative and qualitative analyses are presented by company, by region & country, by Type and by Application. As the market is constantly changing, this report explores the competition, supply and demand trends, as well as key factors that contribute to its changing demands across many markets. Company profiles and product examples of selected competitors, along with market share estimates of some of the selected leaders for the year 2025, are provided.
Key Features:
Global Diabetic Retinopathy (DR) Artificial Intelligence Screening System market size and forecasts, in consumption value ($ Million), 2020-2031
Global Diabetic Retinopathy (DR) Artificial Intelligence Screening System market size and forecasts by region and country, in consumption value ($ Million), 2020-2031
Global Diabetic Retinopathy (DR) Artificial Intelligence Screening System market size and forecasts, by Type and by Application, in consumption value ($ Million), 2020-2031
Global Diabetic Retinopathy (DR) Artificial Intelligence Screening System market shares of main players, in revenue ($ Million), 2020-2025
The Primary Objectives in This Report Are:
To determine the size of the total market opportunity of global and key countries
To assess the growth potential for Diabetic Retinopathy (DR) Artificial Intelligence Screening System
To forecast future growth in each product and end-use market
To assess competitive factors affecting the marketplace
This report profiles key players in the global Diabetic Retinopathy (DR) Artificial Intelligence Screening System market based on the following parameters - company overview, revenue, gross margin, product portfolio, geographical presence, and key developments. Key companies covered as a part of this study include Airdoc Technology, Digital Diagnostics, Eyenuk, RetinaLyze System, Optomed, Sibionics Technology, Aeye Health, VUNO, Medimaging Integrated Solution, EyRIS (SELENA+), etc.
This report also provides key insights about market drivers, restraints, opportunities, new product launches or approvals.
Market segmentation
Diabetic Retinopathy (DR) Artificial Intelligence Screening System market is split by Type and by Application. For the period 2020-2031, the growth among segments provides accurate calculations and forecasts for Consumption Value by Type and by Application. This analysis can help you expand your business by targeting qualified niche markets.
Market segment by Type
Hardware
Software
Market segment by Application
Medical Institutions
Great Health Scene
Market segment by players, this report covers
Airdoc Technology
Digital Diagnostics
Eyenuk
RetinaLyze System
Optomed
Sibionics Technology
Aeye Health
VUNO
Medimaging Integrated Solution
EyRIS (SELENA+)
Vistel
RETINA-AI Health
Acer Medical
Market segment by regions, regional analysis covers
North America (United States, Canada and Mexico)
Europe (Germany, France, UK, Russia, Italy and Rest of Europe)
Asia-Pacific (China, Japan, South Korea, India, Southeast Asia and Rest of Asia-Pacific)
South America (Brazil, Rest of South America)
Middle East & Africa (Turkey, Saudi Arabia, UAE, Rest of Middle East & Africa)
The content of the study subjects, includes a total of 13 chapters:
Chapter 1, to describe Diabetic Retinopathy (DR) Artificial Intelligence Screening System product scope, market overview, market estimation caveats and base year.
Chapter 2, to profile the top players of Diabetic Retinopathy (DR) Artificial Intelligence Screening System, with revenue, gross margin, and global market share of Diabetic Retinopathy (DR) Artificial Intelligence Screening System from 2020 to 2025.
Chapter 3, the Diabetic Retinopathy (DR) Artificial Intelligence Screening System competitive situation, revenue, and global market share of top players are analyzed emphatically by landscape contrast.
Chapter 4 and 5, to segment the market size by Type and by Application, with consumption value and growth rate by Type, by Application, from 2020 to 2031
Chapter 6, 7, 8, 9, and 10, to break the market size data at the country level, with revenue and market share for key countries in the world, from 2020 to 2025.and Diabetic Retinopathy (DR) Artificial Intelligence Screening System market forecast, by regions, by Type and by Application, with consumption value, from 2026 to 2031.
Chapter 11, market dynamics, drivers, restraints, trends, Porters Five Forces analysis.
Chapter 12, the key raw materials and key suppliers, and industry chain of Diabetic Retinopathy (DR) Artificial Intelligence Screening System.
Chapter 13, to describe Diabetic Retinopathy (DR) Artificial Intelligence Screening System research findings and conclusion.
Diabetic retinopathy (DR) represents a major cause of visual impairment in developed countries. The ever-growing incidence of DR and its complications necessitates new strategies to screen patients, prevent complications and optimize management. For this reason, DR is a major target of AI-based models, especially those that can be used for large-scale screening. AI models should recognize DR-related alterations, such as haemorrhages, exudates, cotton wool spots and neovascularization; and, starting from fundus images, establish the presence or absence of DR, and grade it according to the conventional DR grading scales.
Diabetes continues to rise throughout the United States and worldwide. Estimates show that the prevalence of diabetes mellitus will rise to 578 million people (10.2%) by the year 2030 and 700 million people (10.9%) by the year 2045. This increase in the prevalence of diabetes can also lead to a corresponding increase in diabetic complications, including nephropathy, cardiovascular disease, neuropathy, and retinopathy.
This report is a detailed and comprehensive analysis for global Diabetic Retinopathy (DR) Artificial Intelligence Screening System market. Both quantitative and qualitative analyses are presented by company, by region & country, by Type and by Application. As the market is constantly changing, this report explores the competition, supply and demand trends, as well as key factors that contribute to its changing demands across many markets. Company profiles and product examples of selected competitors, along with market share estimates of some of the selected leaders for the year 2025, are provided.
Key Features:
Global Diabetic Retinopathy (DR) Artificial Intelligence Screening System market size and forecasts, in consumption value ($ Million), 2020-2031
Global Diabetic Retinopathy (DR) Artificial Intelligence Screening System market size and forecasts by region and country, in consumption value ($ Million), 2020-2031
Global Diabetic Retinopathy (DR) Artificial Intelligence Screening System market size and forecasts, by Type and by Application, in consumption value ($ Million), 2020-2031
Global Diabetic Retinopathy (DR) Artificial Intelligence Screening System market shares of main players, in revenue ($ Million), 2020-2025
The Primary Objectives in This Report Are:
To determine the size of the total market opportunity of global and key countries
To assess the growth potential for Diabetic Retinopathy (DR) Artificial Intelligence Screening System
To forecast future growth in each product and end-use market
To assess competitive factors affecting the marketplace
This report profiles key players in the global Diabetic Retinopathy (DR) Artificial Intelligence Screening System market based on the following parameters - company overview, revenue, gross margin, product portfolio, geographical presence, and key developments. Key companies covered as a part of this study include Airdoc Technology, Digital Diagnostics, Eyenuk, RetinaLyze System, Optomed, Sibionics Technology, Aeye Health, VUNO, Medimaging Integrated Solution, EyRIS (SELENA+), etc.
This report also provides key insights about market drivers, restraints, opportunities, new product launches or approvals.
Market segmentation
Diabetic Retinopathy (DR) Artificial Intelligence Screening System market is split by Type and by Application. For the period 2020-2031, the growth among segments provides accurate calculations and forecasts for Consumption Value by Type and by Application. This analysis can help you expand your business by targeting qualified niche markets.
Market segment by Type
Hardware
Software
Market segment by Application
Medical Institutions
Great Health Scene
Market segment by players, this report covers
Airdoc Technology
Digital Diagnostics
Eyenuk
RetinaLyze System
Optomed
Sibionics Technology
Aeye Health
VUNO
Medimaging Integrated Solution
EyRIS (SELENA+)
Vistel
RETINA-AI Health
Acer Medical
Market segment by regions, regional analysis covers
North America (United States, Canada and Mexico)
Europe (Germany, France, UK, Russia, Italy and Rest of Europe)
Asia-Pacific (China, Japan, South Korea, India, Southeast Asia and Rest of Asia-Pacific)
South America (Brazil, Rest of South America)
Middle East & Africa (Turkey, Saudi Arabia, UAE, Rest of Middle East & Africa)
The content of the study subjects, includes a total of 13 chapters:
Chapter 1, to describe Diabetic Retinopathy (DR) Artificial Intelligence Screening System product scope, market overview, market estimation caveats and base year.
Chapter 2, to profile the top players of Diabetic Retinopathy (DR) Artificial Intelligence Screening System, with revenue, gross margin, and global market share of Diabetic Retinopathy (DR) Artificial Intelligence Screening System from 2020 to 2025.
Chapter 3, the Diabetic Retinopathy (DR) Artificial Intelligence Screening System competitive situation, revenue, and global market share of top players are analyzed emphatically by landscape contrast.
Chapter 4 and 5, to segment the market size by Type and by Application, with consumption value and growth rate by Type, by Application, from 2020 to 2031
Chapter 6, 7, 8, 9, and 10, to break the market size data at the country level, with revenue and market share for key countries in the world, from 2020 to 2025.and Diabetic Retinopathy (DR) Artificial Intelligence Screening System market forecast, by regions, by Type and by Application, with consumption value, from 2026 to 2031.
Chapter 11, market dynamics, drivers, restraints, trends, Porters Five Forces analysis.
Chapter 12, the key raw materials and key suppliers, and industry chain of Diabetic Retinopathy (DR) Artificial Intelligence Screening System.
Chapter 13, to describe Diabetic Retinopathy (DR) Artificial Intelligence Screening System research findings and conclusion.
Table of Contents
118 Pages
- 1 Market Overview
- 2 Company Profiles
- 3 Market Competition, by Players
- 4 Market Size Segment by Type
- 5 Market Size Segment by Application
- 6 North America
- 7 Europe
- 8 Asia-Pacific
- 9 South America
- 10 Middle East & Africa
- 11 Market Dynamics
- 12 Industry Chain Analysis
- 13 Research Findings and Conclusion
- 14 Appendix
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