Since its launch in May 2023, the ChatGPT mobile app has rapidly attracted users worldwide with its powerful natural language processing capabilities. Data shows that in its first operational year (2023), the app generated $42.9 million in user spending, demonstrating the strong growth potential of AI applications on mobile devices. Entering 2024, with improvements in computing power infrastructure and optimization of LLM technology, user spending is projected to surge by 1036% to reach $487 million. This upward trend reflects an unprecedented rise in user demand for intelligent services within the AI industry.\n\nAppfigures' forecasts further indicate that by 2025, ChatGPT mobile app user spending could climb to $2.48 billion, an annual growth rate of 408%. This explosive growth is not only driven by continuous iterations of large models but also by advances in underlying chip technology, such as the proliferation of high-performance AI chips that provide robust support for mobile AI applications.
In comparison, globally renowned apps like TikTok, Disney+, and HBO Max took 58 months, 42 months, and 46 months respectively to reach similar revenue milestones, highlighting ChatGPT's leadership in AI commercialization.\n\nIn terms of user spending patterns, ChatGPT primarily generates revenue through subscription services, including the $20-per-month ChatGPT Plus plan and the $200-per-month high-end Pro plan. This AI service-based monetization model underscores the commercial value of LLMs in personalized recommendations and intelligent interactions. Additionally, OpenAI plans to introduce advertising monetization and app-store-like features to diversify revenue streams, signaling that the AI industry is exploring more diverse business models.\n\nIn the competitive landscape, Google is actively pivoting its search advertising business toward AI, launching multiple new features embedded with ads, while Anthropic is targeting the enterprise market with a $70 billion revenue goal by 2028. These developments indicate that the entire AI industry trend is shifting from standalone applications to ecosystem expansion, with the construction of computing power infrastructure and innovation in chip technology becoming key drivers.