Coating-Type Selection in Iranian Optical Retail: Socioeconomic Stratification, Online Purchasing, and a 10-Year Forecast

Abstract

Understanding how spectacle lens coating-types are distributed across retail channels is essential for anticipating demand and guiding inventory and service planning. In Iran, optical retail operates through distinct socioeconomic and purchasing channels, including high-income area stores, low-income area stores, and online shops, each associated with different levels of affordability and product assortment. This editorial summarizes coating- type selection patterns across these segments and interprets observed time trends and 10year logarithmic forecasts to outline plausible market evolution. Data from 4,615 ophthalmic lenses were analyzed, comprising 2,521 lenses from high-income area stores, 1,674 from low-income area stores, and 420 from online shops. Antireflex coatings constituted the dominant baseline option in physical retail settings, whereas Blue Cut lenses occupied a broadly accessible mid- tier position across income groups. In contrast, Blue Control lenses, representing a premium blue light filtering option, were minimally represented in low-income retail but accounted for nearly half of online sales, reflecting a strong afford ability and channel-specific gradient. Photochromic lenses formed a smaller but persistent share across all segments. Hard coating (CR-39) was observed exclusively in low-income stores, consistent with budget-constrained purchasing. Timetrend analysis and 10year forecasts suggest that premium feature growth will remain concentrated in affluent retail environments and the online channel, while low-income stores are likely to continue transitioning away from the lowest quality lens options. The pace of this transition is expected to depend on supply chain stability, inventory capability, and the availability of affordable mid-tier alternatives. Overall, coating-type selection in Iranian optical retail reflects durable socioeconomic segmentation, with implications for demand forecasting, inventory management, and service planning over the coming decade.