OpenAI's enterprise market share overtakes Anthropic's, and AI spending continues to expand. The latest data from Ramp, an enterprise credit card and expense management platform, shows that OpenAI's share of the US enterprise AI market has once again surpassed Anthropic's.

OpenAI’s enterprise market share overtakes that of Anthropic, and AI spending continues to expand. The latest data from Ramp, an enterprise credit card and expense management platform, shows that OpenAI’s share of the US enterprise AI market has once again exceeded that of Anthropic. Data shows that in May this year, Anthropic led OpenAI with a market share of 41% and 39%; as of July, Anthropic’s share was close to 44% and OpenAI was close to 40%. Ramp economist Ara Kharazian said that since entering the third quarter, OpenAI has grown faster than Anthropic in this field. The data covers more than 70,000 U.S. companies, which generate billions of dollars in spending through Ramp's bill payment and corporate credit card products, with customers mainly in the technology industry. However, Ramp did not disclose the specific amount of expenditures, and the data does not represent the entire enterprise AI market and does not cover large enterprises that use other expense management services such as American Express. Kharazian believes that GPT-5.6Sol is gradually becoming the choice of developers due to its strong performance, while Anthropic high-end product Fable is affected by factors such as price and data retention requirements. Anthropic previously required Fable users to retain data for 30 days, which also caused some controversy. It is worth noting that Ramp data shows that the penetration rate of enterprise AI payment continues to increase, rising from more than 50% in March to nearly 56% in July. This shows that while the two model manufacturers are competing for share, overall enterprise AI spending is still in the expansion stage. As the new model continues to iterate, enterprise customers' choice between OpenAI and Anthropic has shown more obvious dynamic changes, and there are still large variables in AI enterprise market share and customer stickiness. via AI News (author: AI Base)