Ophthalmic AI diagnosis market seen reaching $5.03 billion by 2030

The Business Research Company says the global ophthalmic artificial intelligence-assisted diagnosis market will grow from $2.57 billion in 2026 to $5.03 billion by 2030, driven by rising eye disease rates, cloud-based tools and tele-ophthalmology. North America led the market in 2025, while Asia-Pacific is expected to post the fastest growth.

Why it matters: - Ophthalmic AI tools are being positioned as a way to speed up and improve detection of eye disease. - The market forecast points to sustained demand for automated diagnosis as eye disorders become more common worldwide. - The growth outlook matters for hospitals, eye-care providers, AI developers and telehealth platforms.

What happened: - The Business Research Company published a market study on the global ophthalmic artificial intelligence-assisted diagnosis market. - The market is projected to rise from $2.17 billion in 2025 to $2.57 billion in 2026. - The report expects the market to reach $5.03 billion by 2030. - The report covers regions including Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, the Middle East and Africa. - A free sample of the report is available. - The full market report is also available.

The details: - The market posted a 18.5% compound annual growth rate in the historical period cited in the release. - The forecast period is expected to deliver an 18.2% CAGR through 2030. - Growth has been supported by wider use of digital imaging devices, more eye disease cases, earlier-diagnosis awareness, AI use in clinical trials and advances in retinal imaging. - Expected growth drivers include cloud-based AI diagnostic platforms, broader tele-ophthalmology access, better algorithms for rare eye conditions, partnerships between AI developers and healthcare providers and more use of predictive ophthalmology. - The release flags AI-enabled retinal image analysis, deep learning disease detection, predictive modeling, automated patient record review and AI integration into clinical workflows as key trends. - Ophthalmic artificial intelligence-assisted diagnosis uses AI to interpret retinal scans and patient records to identify, diagnose or monitor eye conditions. - Machine learning and deep learning tools combine imaging and clinical data to support faster and more automated decisions in ophthalmology. - North America held the largest market share in 2025. - Asia-Pacific is projected to grow the fastest during the forecast period.

Between the lines: - Rising screen time is adding pressure on eye health through digital eye strain, dryness and longer-term vision problems linked to blue light exposure and reduced blinking. - WHO data released in August 2023 estimate that more than 2.2 billion people have near- or distance-vision impairment worldwide. - More than 1 billion of those cases are preventable or untreated. - Refractive errors and cataracts remain leading causes of visual impairment. - Access to treatment remains limited, with adequate intervention reaching 36% of people with refractive-error-related vision issues and 17% of cataract patients. - The regional split suggests a mature market in North America and faster adoption potential in Asia-Pacific.

What's next: - The report points to continued expansion as cloud delivery and tele-ophthalmology spread. - Better AI models for rare eye diseases could widen clinical use cases. - Healthcare providers and AI vendors are likely to keep forming partnerships as the market scales. - More predictive ophthalmology tools may move the market from detection toward risk forecasting and monitoring.

The bottom line: - Ophthalmic AI-assisted diagnosis is moving from niche technology to a fast-growing global market, with eye disease prevalence and digital care delivery driving demand.