In a significant shift in the competitive landscape of AI assistants, ChatGPT’s market share has dropped below 50% for the first time since its launch over three years ago, as reported by Sensor Tower in its 2026 State of AI Report. Despite still being the leading AI chatbot worldwide with over 1.1 billion monthly users, ChatGPT, developed by OpenAI, has seen its dominance challenged by emerging competitors such as Google’s Gemini, Anthropic’s Claude, and xAI’s Grok.
ChatGPT initially set records by being the fastest app to reach 1 billion monthly users. It continued to report high numbers, counting 900 million weekly active users as of February. However, by the end of May, its market share had decreased to 46.4%. Gemini and Claude notably contributed to this shift, holding 27.7% and 10.3% of the market share, respectively, while other AI assistants like Grok, Perplexity, DeepSeek, and Meta AI collectively accounted for less than 5% of the market.
The decline in ChatGPT’s market supremacy is attributed to various factors, including users’ increasing readiness to switch between different AI assistants. This behavior has been particularly influenced by specific events, such as OpenAI’s agreement with the U.S. Department of Defense, which prompted a notable spike in app uninstalls. This suggests that users value brand trust and alignment with their principles, alongside the functionalities offered by these AI platforms.
In the broader ecosystem, Google’s Gemini has benefited from its integration with Google’s suite of tools, aiding its rise in popularity. On the other hand, Claude has been commended for its strong performance in productivity tasks and is catching up to ChatGPT in terms of user-retention rates.
The financial aspect of AI assistants is also evolving, with significant growth in spending. Sensor Tower estimated that people might spend over $4.2 billion on AI apps in the first half of 2026 alone, compared to $1.83 billion during the same period in 2025. However, the growth rates of both downloads and spending have slowed, indicating that the market might be reaching maturity.
Geographically, Asia saw a 3.3% decline in downloads during the first quarter of 2026, mostly due to decreased downloads in China and India. Nevertheless, Asia continues to lead in total downloads globally, though it lags behind North America and Europe in terms of in-app spending. This spending pattern is crucial for companies as they decide where to focus on developing premium features and monetization strategies.
In the U.S., there is a noticeable trend toward using AI assistants for productivity, with users increasingly willing to pay for premium features. Anthropic’s Claude is leading the way in monetization, with a 13% conversion rate of its users to paid subscription plans, a key metric for investors assessing the potential for sustainable revenue in AI businesses.
In terms of engagement, Sensor Tower’s data shows that the total hours spent on AI apps are projected to nearly double from 17.2 billion in the first half of 2025 to about 36 billion in the first half of 2026. The top three AI assistants, including ChatGPT, Gemini, and Claude, command a significant 89% of the total time spent on AI assistant apps.
Within the domain of AI-driven eCommerce, ChatGPT has been integrating with various retailers to boost referral traffic. Meanwhile, competitors like Walmart’s Spark AI assistant have started to carve out their niche by embedding AI capabilities directly within their platforms, assisting shoppers in finding products. This strategy has shown effective results in user engagement and conversion rates in comparison to platforms like Amazon, which has resisted integration with external AI crawlers like ChatGPT.
Overall, the AI market is evolving rapidly with a distinct shift in user preferences and competitive dynamics. As AI assistants continue to evolve and integrate more deeply into various ecosystems, their impact on productivity and eCommerce is expected to grow, reshaping how companies strategize their digital assistant offerings and monetization models.
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