
Global Ophthalmology AI Software Market Growth (Status and Outlook) 2025-2031
Description
The global Ophthalmology AI Software market size is predicted to grow from US$ 1996 million in 2025 to US$ 9766 million in 2031; it is expected to grow at a CAGR of 30.3% from 2025 to 2031.
Ophthalmic AI software integrates advanced artificial intelligence algorithms such as deep learning and machine learning to automatically analyze, identify and judge ophthalmic images and data, thereby assisting ophthalmologists in disease diagnosis, treatment plan formulation and patient management. This type of software is usually highly automated, intelligent and accurate, and can significantly improve the efficiency and quality of ophthalmic medical services.
United States market for Ophthalmology AI Software is estimated to increase from US$ million in 2024 to US$ million by 2031, at a CAGR of % from 2025 through 2031.
China market for Ophthalmology AI Software is estimated to increase from US$ million in 2024 to US$ million by 2031, at a CAGR of % from 2025 through 2031.
Europe market for Ophthalmology AI Software is estimated to increase from US$ million in 2024 to US$ million by 2031, at a CAGR of % from 2025 through 2031.
Global key Ophthalmology AI Software players cover Eyenuk, Inc., DeepMind, Remidio, Retmarker, AEYE Health, etc. In terms of revenue, the global two largest companies occupied for a share nearly % in 2024.
LPI (LP Information)' newest research report, the “Ophthalmology AI Software Industry Forecast” looks at past sales and reviews total world Ophthalmology AI Software sales in 2024, providing a comprehensive analysis by region and market sector of projected Ophthalmology AI Software sales for 2025 through 2031. With Ophthalmology AI Software sales broken down by region, market sector and sub-sector, this report provides a detailed analysis in US$ millions of the world Ophthalmology AI Software industry.
This Insight Report provides a comprehensive analysis of the global Ophthalmology AI Software landscape and highlights key trends related to product segmentation, company formation, revenue, and market share, latest development, and M&A activity. This report also analyses the strategies of leading global companies with a focus on Ophthalmology AI Software portfolios and capabilities, market entry strategies, market positions, and geographic footprints, to better understand these firms’ unique position in an accelerating global Ophthalmology AI Software market.
This Insight Report evaluates the key market trends, drivers, and affecting factors shaping the global outlook for Ophthalmology AI Software and breaks down the forecast by Type, by Application, geography, and market size to highlight emerging pockets of opportunity. With a transparent methodology based on hundreds of bottom-up qualitative and quantitative market inputs, this study forecast offers a highly nuanced view of the current state and future trajectory in the global Ophthalmology AI Software.
This report presents a comprehensive overview, market shares, and growth opportunities of Ophthalmology AI Software market by product type, application, key players and key regions and countries.
Segmentation by Type:
On-premises
Cloud-based
Segmentation by Application:
Hospital
Eye Clinic
Medical Research
Others
This report also splits the market by region:
Americas
United States
Canada
Mexico
Brazil
APAC
China
Japan
Korea
Southeast Asia
India
Australia
Europe
Germany
France
UK
Italy
Russia
Middle East & Africa
Egypt
South Africa
Israel
Turkey
GCC Countries
The below companies that are profiled have been selected based on inputs gathered from primary experts and analyzing the company's coverage, product portfolio, its market penetration.
Eyenuk, Inc.
DeepMind
Remidio
Retmarker
AEYE Health
RetinaLyze
Synapxe
Intelligent Retinal Imaging Systems
RetinAI
RetinaRisk
CSIRO
Airdoc
Silicon Intelligence
Zhiyuan Huitu
WeDoctor Group
VoxelCloud
Kangfuzi Health
Zhenhealth
Tencent Health
Please note: The report will take approximately 2 business days to prepare and deliver.
Ophthalmic AI software integrates advanced artificial intelligence algorithms such as deep learning and machine learning to automatically analyze, identify and judge ophthalmic images and data, thereby assisting ophthalmologists in disease diagnosis, treatment plan formulation and patient management. This type of software is usually highly automated, intelligent and accurate, and can significantly improve the efficiency and quality of ophthalmic medical services.
United States market for Ophthalmology AI Software is estimated to increase from US$ million in 2024 to US$ million by 2031, at a CAGR of % from 2025 through 2031.
China market for Ophthalmology AI Software is estimated to increase from US$ million in 2024 to US$ million by 2031, at a CAGR of % from 2025 through 2031.
Europe market for Ophthalmology AI Software is estimated to increase from US$ million in 2024 to US$ million by 2031, at a CAGR of % from 2025 through 2031.
Global key Ophthalmology AI Software players cover Eyenuk, Inc., DeepMind, Remidio, Retmarker, AEYE Health, etc. In terms of revenue, the global two largest companies occupied for a share nearly % in 2024.
LPI (LP Information)' newest research report, the “Ophthalmology AI Software Industry Forecast” looks at past sales and reviews total world Ophthalmology AI Software sales in 2024, providing a comprehensive analysis by region and market sector of projected Ophthalmology AI Software sales for 2025 through 2031. With Ophthalmology AI Software sales broken down by region, market sector and sub-sector, this report provides a detailed analysis in US$ millions of the world Ophthalmology AI Software industry.
This Insight Report provides a comprehensive analysis of the global Ophthalmology AI Software landscape and highlights key trends related to product segmentation, company formation, revenue, and market share, latest development, and M&A activity. This report also analyses the strategies of leading global companies with a focus on Ophthalmology AI Software portfolios and capabilities, market entry strategies, market positions, and geographic footprints, to better understand these firms’ unique position in an accelerating global Ophthalmology AI Software market.
This Insight Report evaluates the key market trends, drivers, and affecting factors shaping the global outlook for Ophthalmology AI Software and breaks down the forecast by Type, by Application, geography, and market size to highlight emerging pockets of opportunity. With a transparent methodology based on hundreds of bottom-up qualitative and quantitative market inputs, this study forecast offers a highly nuanced view of the current state and future trajectory in the global Ophthalmology AI Software.
This report presents a comprehensive overview, market shares, and growth opportunities of Ophthalmology AI Software market by product type, application, key players and key regions and countries.
Segmentation by Type:
On-premises
Cloud-based
Segmentation by Application:
Hospital
Eye Clinic
Medical Research
Others
This report also splits the market by region:
Americas
United States
Canada
Mexico
Brazil
APAC
China
Japan
Korea
Southeast Asia
India
Australia
Europe
Germany
France
UK
Italy
Russia
Middle East & Africa
Egypt
South Africa
Israel
Turkey
GCC Countries
The below companies that are profiled have been selected based on inputs gathered from primary experts and analyzing the company's coverage, product portfolio, its market penetration.
Eyenuk, Inc.
DeepMind
Remidio
Retmarker
AEYE Health
RetinaLyze
Synapxe
Intelligent Retinal Imaging Systems
RetinAI
RetinaRisk
CSIRO
Airdoc
Silicon Intelligence
Zhiyuan Huitu
WeDoctor Group
VoxelCloud
Kangfuzi Health
Zhenhealth
Tencent Health
Please note: The report will take approximately 2 business days to prepare and deliver.
Table of Contents
130 Pages
- *This is a tentative TOC and the final deliverable is subject to change.*
- 1 Scope of the Report
- 2 Executive Summary
- 3 Ophthalmology AI Software Market Size by Player
- 4 Ophthalmology AI Software by Region
- 5 Americas
- 6 APAC
- 7 Europe
- 8 Middle East & Africa
- 9 Market Drivers, Challenges and Trends
- 10 Global Ophthalmology AI Software Market Forecast
- 11 Key Players Analysis
- 12 Research Findings and Conclusion
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