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ChatGPT Images 2.0 finds its biggest audience in India as global uptake stays modest

ChatGPT Images 2.0 finds its biggest audience in India as global uptake stays modest

India has quickly become the largest market for ChatGPT Images 2.0, OpenAI’s latest image-generation upgrade, in the days following its rollout.

Early signals shared by the company suggest the feature is gaining traction for personal, social-media-ready creations more than strictly utilitarian work.

Third-party measurements, however, indicate a more restrained response globally, with only small week-over-week lifts in downloads and usage. The split highlights how new AI creative tools can surge in specific regions even when worldwide growth remains incremental.

Downloads jump, engagement barely moves

App intelligence firm Sensor Tower estimated ChatGPT downloads rose about 11% week over week after Images 2.0 launched.

Yet overall engagement changes appeared limited, with daily active users and session counts increasing by roughly 1% over the same period.

Web analytics company Similarweb also recorded only a modest rise in global ChatGPT web traffic, up around 1.6% week over week. Taken together, the figures suggest curiosity-driven installs did not uniformly translate into sustained increases in daily use.

Emerging markets show sharper spikes

While India supplied the largest volume, some emerging markets posted bigger percentage jumps. Sensor Tower data reviewed by TechCrunch pointed to notable week-over-week increases in downloads in countries including Pakistan, Vietnam and Indonesia, reaching as high as 79% in some cases.

In India, Sensor Tower estimated roughly 5 million ChatGPT downloads during the launch week, compared with about 2 million in the U.S. Similarweb data suggested daily active users in India rose about 3.4% week over week, indicating growth but not a step-change in usage.

Why India is leaning in early?

OpenAI says early usage in India centers on self-expression, including avatars, stylized portraits and fantasy-themed images. The company has emphasized improvements aimed at producing more reliable text in images, including better support for non-Latin scripts and multiple languages.

The rollout also lands amid intensifying competition in AI image generation, where major platforms are racing to improve prompt adherence and text rendering. India’s early adoption pattern suggests that localization and culturally resonant creative formats can shape where these tools catch on first.