AI in ophthalmology is rapidly transforming from clinical decision support into scalable diagnostic infrastructure capable of enabling population-scale eye care. Advances in retinal screening, OCT analysis, autonomous diagnostics, and predictive ophthalmic analytics are accelerating earlier detection of diabetic retinopathy, glaucoma, AMD, and retinal disorders. As healthcare systems face rising diabetes prevalence and specialist shortages, integrated AI-powered ophthalmic ecosystems are emerging as a major growth frontier across MedTech, digital health, and intelligent diagnostics.