For the first time, Anthropic has more business customers than OpenAI
According to this month's AI Index from fintech company Ramp, Anthropic has more verified business customers than OpenAI for the first time.
According to this month's AI Index from fintech company Ramp, Anthropic has more verified business customers than OpenAI for the first time.
According to this month's AI Index from fintech company Ramp, Anthropic has more verified business customers than OpenAI for the first time.
The survey, based on Ramp customer spending data, found that 34.4% of participating companies pay for Anthropic’s services — more than any other AI lab — while only 32.3% of companies pay for OpenAI’s services, TechCrunch reported .
This is the first time Anthropic has taken a leadership position.
“Anthropic already leads in high-tech adoption groups like finance, IT, and professional services,” Ramp economist Ara Kharazyan told TechCrunch. “OpenAI still maintains a lead among other firms, but that gap has been gradually closing over the past few months.”
Since this index only represents companies that use Ramp, it is not a perfect reflection of the entire market. However, the sample size includes over 50,000 companies, making it broad and diverse enough to be meaningful.
More importantly, the general trend can be seen across the industry. In the OpenRouter rankings, which are based on a different group of users, OpenAI last ranked above Anthropic in December 2025.
According to Ramp, the past 12 months have been truly transformative for Anthropic. In May 2025, just 9% of companies paid for Anthropic’s products, but that number has grown by 26% over the past 12 months. Over the same period, OpenAI’s share has declined by 1%, while the total number of companies using any AI-based products has grown by 9%.
Kharazyan is skeptical that this advantage will continue, but noted that the success of the past year has been proof that Anthropic has chosen the right strategy.
“What Anthropic did that worked really well,” Kharazian told TechCrunch, “was to start with a very tech-savvy customer base, focus on their needs, be successful in implementation, and then start scaling with tools like Cowork.”



