ChatGPT Mobile App Surpasses $2B in Consumer Spending

ChatGPT mobile momentum: $2 billion and growing

New app-intelligence data from Appfigures shows ChatGPT’s mobile apps (iOS and Android) have generated roughly $2 billion in global consumer spending since launch in May 2023. That figure underscores a sharp lead in the consumer app market for AI assistants.

This year alone the app has pulled in about $1.35 billion, a 673% increase from the $174 million in the comparable period last year. Average monthly consumer spend is now near $193 million, up from roughly $25 million a year earlier.

Those numbers don’t tell the whole revenue story—companies also earn from web subscriptions and APIs—but they do reveal where consumers are discovering and paying for AI assistants: the app stores.

How big the lead is

Appfigures contrasts ChatGPT with rivals and the gap is stark: ChatGPT’s lifetime spending per download is $2.91, versus Claude at $2.55, Grok $0.75, and Copilot $0.28. Globally ChatGPT has been installed an estimated 690 million times compared with Grok’s 39.5 million installs.

Geography matters: the U.S. accounts for 38% of ChatGPT’s app revenue and a $10 average spend per download, while India leads in install share at 13.7% of lifetime downloads. Germany is the second-largest revenue market at roughly 5.3%.

Key metrics at a glance

• $2B total consumer spending since May 2023
• $1.35B generated this year (huge YoY gain)
• 690M installs globally; ~45M average monthly downloads
• Spending per download: ChatGPT $2.91; Grok $0.75; Copilot $0.28

What this means for competitors and leaders

The data reinforces two practical truths: first, early distribution and app-store visibility matter a great deal for consumer monetization. Second, localized pricing and market focus (e.g., maximizing U.S. ARPU while scaling India installs) create big leverage on revenue outcomes.

• Rivals should prioritize native app presence and store optimization to shorten the discovery gap.
• Experimenting with region-specific pricing and localized feature tiers can lift ARPU where users pay most.
• Brands should treat mobile acquisition and retention as core product investments—not just marketing line items.

There are also policy and platform implications. Prominent placement in app-store charts and early launch timing clearly accelerate consumer adoption—factors that shape debates about platform neutrality and competitive fairness.

How organizations should respond

Product teams, business leaders, and public-sector buyers should read this as a playbook: measure where users convert, prioritize market-specific offers, and iterate on retention mechanics that justify subscription prices. For new entrants, closing the discovery gap is the first order of business.

At QuarkyByte we approach this by combining granular app-store telemetry with user-behavior analysis and pricing experiments. That lets teams identify the highest-impact levers—whether localization, feature gating, or targeted acquisition—that move installs and ARPU in measurable steps.

Bottom line: ChatGPT’s mobile performance is a clear signal that consumer dollars are concentrating fast in the app ecosystems. For organizations aiming to compete, the path forward is data-first, region-aware, and relentlessly focused on turning downloads into durable subscribers.