Generate localized App Store & Play prices from purchasing-power data

Generate localized App Store & Play prices from purchasing-power data targets a $6.0B = 2M app publishers × $3K ACV total addressable market with medium saturation and a year-over-year growth rate of 10% YoY — mobile app subscription revenue and app-store monetization are growing annually (data.ai / Sensor Tower trend estimates).

Key trends driving demand: Localization — publishers are increasingly monetizing non-US markets, creating demand for localized price strategies and automation.; Store complexity — Apple and Google continue to use discrete pricing tiers and regional rules, making manual price management error-prone and time-consuming.; Subscription growth — rising adoption of subscription models increases the value of precise, country-level pricing optimization to protect ARPU.; Affordable data & APIs — public purchasing-power parity and exchange-rate APIs lower the cost of building continuous local price recommendations.; AI-assisted pricing — modern models make it practical to estimate local elasticity with limited data, enabling automated recommendations..