Why is revenue from AI apps in India so low if it has the most downloads?

The low revenue is primarily due to the market's price sensitivity and the aggressive use of extended free premium offers by AI companies to acquire users. These promotions attracted a massive user base but also suppressed immediate revenue, as seen by a drop in in-app purchases when free tiers were introduced. Companies are now ending these offers to see if users will convert to paid plans.

India’s AI boom pushes firms to trade near-term revenue for users

Major AI companies are pulling back on extended free premium offers in India, shifting their strategy from rapid user acquisition to monetization. With promotions from firms like OpenAI and Perplexity ending, the industry now faces a critical test: whether it can convert India's massive, price-sensitive user base—the world's largest for generative AI app downloads—into a sustainable stream of paying subscribers.

The push for monetization follows a period of explosive growth fueled by these promotions. According to market intelligence firm Sensor Tower, GenAI app installs in India surged 207% year-over-year in 2025. Despite this volume, India generates a disproportionately small share of revenue, contributing about 1% of global in-app purchases while driving roughly 20% of downloads. This strategy's near-term impact was stark; in-app purchase revenue in India fell for two consecutive months late last year, with ChatGPT’s own revenue declining over 30% in both November and December after it launched a free promotional tier.

This pivot highlights the unique challenge of operating in a market known for its immense scale but also its value-consciousness. While India represents a crucial battleground for user growth with over 700 million smartphone owners, engagement still lags behind more mature markets. Analysts suggest that converting this vast user base will require more than simply ending free trials. Success will likely depend on developing localized pricing strategies, such as low-cost subscription tiers and telecom bundles, to bridge the gap between high user adoption and low revenue generation.

In high-growth, price-sensitive markets like India, the 'grow-at-all-costs' playbook for AI services is facing its first major test. The disparity between massive download volumes and minimal revenue highlights a fundamental friction point: acquiring users with free offers is simple, but converting them into a sustainable revenue stream requires a nuanced, localized strategy that goes beyond the standard premium subscription model.