According to our (Global Info Research) latest study, the global AI-based Diabetic Eye Disease Screening System market size was valued at US$ 393 million in 2025 and is forecast to a readjusted size of US$ 616 million by 2032 with a CAGR of 6.6% during review period.
AI-based diabetic eye disease screening systems are intelligent diagnostic support tools developed using deep learning, computer vision, and medical image analysis technologies. These systems capture retinal images—using fundus cameras, ultra-widefield fundus cameras, or portable retinal cameras—and employ AI algorithms, such as convolutional neural networks, to automatically detect diabetic retinopathy, diabetic macular edema (DME), and other fundus abnormalities. Based on international clinical grading standards, they generate outputs regarding the need for referral, the severity of lesions, and preliminary diagnostic findings. Typically integrating features such as image quality assessment, automated lesion detection, disease grading, risk prediction, electronic medical record (EMR) interfaces, and cloud-based data management, these systems can be deployed in hospitals, primary care facilities, health check-up centers, diabetes clinics, and mobile medical settings. This enables large-scale, efficient, and standardized screening for diabetic eye disease, thereby increasing early detection rates and alleviating the shortage of ophthalmologists.
As the global diabetic population grows and diabetic retinopathy emerges as a leading cause of adult blindness—coupled with strengthened government policies on screening for diabetes complications—the market for AI-based diabetic eye disease screening systems is entering a phase of rapid commercialization. In recent years, countries and regions including the United States, China, Europe, Japan, and India have approved AI-assisted fundus screening products for clinical use, marking the transition of AI from a research concept to a standardized medical tool. Looking ahead, driven by improvements in AI algorithm accuracy, the widespread adoption of non-mydriatic fundus cameras, the digitalization of primary care, and the refinement of health insurance reimbursement systems, AI screening systems will expand from tertiary hospitals to community clinics, health check-up centers, pharmacies, mobile screening units, and home health management settings. Furthermore, by integrating cloud computing, telemedicine, large-model-assisted diagnostics, multi-disease screening, and continuous health management services, these systems will form a comprehensive business model—"Device + AI Software + Cloud Platform + Chronic Disease Management"—with the global market expected to maintain high growth rates in the coming years.
This report is a detailed and comprehensive analysis for global AI-based Diabetic Eye Disease 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 AI-based Diabetic Eye Disease Screening System market size and forecasts, in consumption value ($ Million), 2021-2032
Global AI-based Diabetic Eye Disease Screening System market size and forecasts by region and country, in consumption value ($ Million), 2021-2032
Global AI-based Diabetic Eye Disease Screening System market size and forecasts, by Type and by Application, in consumption value ($ Million), 2021-2032
Global AI-based Diabetic Eye Disease Screening System market shares of main players, in revenue ($ Million), 2021-2026
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 AI-based Diabetic Eye Disease 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 AI-based Diabetic Eye Disease 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 Eyenuk, AEYE Health, Optomed, Remidio, Retmarker, VoxelCloud, Airdoc, Zhiyuan Huitu, IDx, LLC, Zhenhealth, etc.
This report also provides key insights about market drivers, restraints, opportunities, new product launches or approvals.
Market segmentation
AI-based Diabetic Eye Disease Screening System market is split by Type and by Application. For the period 2021-2032, 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
On-premise
Cloud-based
Hybrid Mode
Market segment by Business Model
Software Licensing
SaaS Subscription
Per-Screening Fee
Integrated AI + Hardware Sales
Others
Market segment by Application
General Hospitals
Ophthalmology Hospitals
Diabetes Specialty Hospitals
Market segment by players, this report covers
Eyenuk
AEYE Health
Optomed
Remidio
Retmarker
VoxelCloud
Airdoc
Zhiyuan Huitu
IDx, LLC
Zhenhealth
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 AI-based Diabetic Eye Disease Screening System product scope, market overview, market estimation caveats and base year.
Chapter 2, to profile the top players of AI-based Diabetic Eye Disease Screening System, with revenue, gross margin, and global market share of AI-based Diabetic Eye Disease Screening System from 2021 to 2026.
Chapter 3, the AI-based Diabetic Eye Disease 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 2021 to 2032.
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 2021 to 2026.and AI-based Diabetic Eye Disease Screening System market forecast, by regions, by Type and by Application, with consumption value, from 2027 to 2032.
Chapter 11, market dynamics, drivers, restraints, trends, Porters Five Forces analysis.
Chapter 12, the key raw materials and key suppliers, and industry chain of AI-based Diabetic Eye Disease Screening System.
Chapter 13, to describe AI-based Diabetic Eye Disease Screening System research findings and conclusion.
Summary:
Get latest Market Research Reports on AI-based Diabetic Eye Disease Screening System. Industry analysis & Market Report on AI-based Diabetic Eye Disease Screening System is a syndicated market report, published as Global AI-based Diabetic Eye Disease Screening System Market 2026 by Company, Regions, Type and Application, Forecast to 2032. It is complete Research Study and Industry Analysis of AI-based Diabetic Eye Disease Screening System market, to understand, Market Demand, Growth, trends analysis and Factor Influencing market.