(MENAFN- EIN Presswire) EINPresswire/ -- The global Autonomous AI Powered Ophthalmology Screening Market is projected to reach USD 1,130.0 million in 2025 and grow to USD 2,650.68 million by 2035, registering a CAGR of 8.9% over the forecast period. This surge is fueled by the escalating need for early detection of diabetic retinopathy, glaucoma, and age-related macular degeneration, where AI-enabled retinal imaging provides fast, accurate, and scalable screening solutions.

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Growing adoption across telemedicine platforms, community health centers, and hospital networks is widening access to diagnostic eye care. Cloud-based workflows and portable imaging devices are improving reach in both developed and underserved regions.
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Technology Advancements Widen Clinical Utility
AI-driven imaging capabilities have reached near-expert diagnostic accuracy, enabling screening without requiring ophthalmologist presence. Between 2025 and 2030, market revenue is expected to rise from USD 1,130.0 million to USD 1,730.7 million, driven by wider deployment of image-based retinal screening systems. From 2030 to 2035, the market is forecast to expand further by approximately USD 920 million as AI platforms evolve to support multi-disease detection and predictive analytics.

APAC, Europe, USA, and Saudi Arabia See Accelerated Adoption
The United States is positioned as a leading growth hub with a projected CAGR of 10.3%, underpinned by hospital system integration and strong reimbursement support. Europe continues advancing AI deployment across national healthcare programs, led by the UK, Germany, and France.
In APAC, China and India are scaling community-level diabetic eye screening with tele-ophthalmology models, while Japan and South Korea are integrating AI systems into preventive chronic disease care pathways.
Saudi Arabia is investing in diagnostic digital infrastructure under national health modernization initiatives, supporting broader AI-enabled screening adoption across primary and specialty care.

Diabetic Retinopathy Remains the Largest Screening Demand Segment
Diabetic Retinopathy (DR) accounts for the largest share of market demand at 48.6% in 2025, as rising global diabetes prevalence underscores the need for routine, population-scale retinal monitoring. The dominance of Image-Based AI (Fundus) technology, holding 46.8% share, is expected to continue due to its cost efficiency, portability, and accuracy in early-stage disease detection.

Challenges and Strategic Opportunities Ahead
Despite promising growth momentum, challenges persist, including training for proper image acquisition, regulatory pathway alignment, and workflow integration within healthcare systems. However, ongoing expansion of telehealth, national screening programs, and AI model interpretability improvements will continue driving long-term adoption. Vendors able to offer scalable, interoperable solutions aligned with clinical reporting standards will be best positioned to capture emerging global demand.

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