Anthropic has surpassed OpenAI in annual revenue. It signals a major shift in the AI market and intensifies global competition among leading AI companies. Earlier in 2025, OpenAI had a wider revenue gap; however, Anthropic’s expansion into business-focused applications appears to have narrowed and reversed that lead.
Anthropic reported annualized revenue exceeding $30 billion. The AI startup has overtaken OpenAI’s reported $2 billion in monthly revenue, or about $24 billion annually, as disclosed during its recent fundraising. The AI startup had reported approximately $9 billion at the end of 2025.
The company said that in February, over 500 business customers were spending more than $1 million annually. That number has now exceeded 1,000, doubling in less than two months. The development reflects Anthropic's rapid growth, driven in part by demand for its enterprise-focused AI tools, including coding products.
"We shared that over 500 business customers were each spending over $1 million on an annualized basis. Today that number exceeds 1,000, doubling in less than two months," the latest Anthropic blog read. In an earlier post, the company attributed the rising run-rate revenue to the number of customers spending over $100,000 annually on Claude (as represented by run-rate revenue), which has grown 7x in the past year. And businesses that start with Claude for a single use case, API, Claude Code, or Claude for Work, are expanding their integrations across their organizations. "Two years ago, a dozen customers spent over $1 million with us on an annualized basis. Today that number exceeds 500. Eight of the Fortune 10 are now Claude customers," the blog post read.
Anthropic has recently raised $30 billion in Series G funding, led by GIC and Coatue, valuing the Company at $380 billion post-money. The round was co-led by D. E. Shaw Ventures, Dragoneer, Founders Fund, ICONIQ, and MGX.
Both companies rely on infrastructure providers such as Amazon Web Services and Microsoft Azure, but Anthropic reports revenue gross, while OpenAI deducts platform fees, potentially affecting headline figures.
According to a Reuters report, the revenue shift highlights the growing importance of enterprise usage, in which high-volume computing tasks generate more revenue than large numbers of casual users.
Anthropic has recently added several new features to Claude to make it more versatile. From dispatch to computer use and remote work capabilities, Claude Code can now do far more than before, including testing apps it builds from scratch without asking developers for permission.
The company said that the investment will fuel the frontier research, product development, and infrastructure expansions that have made Anthropic the market leader in enterprise AI and coding. Claude Code, an artificial intelligence system that can generate computer code based on prompts, has gone viral and seen record growth.
Users have recently reported that they are unable to fully utilize Claude because their token limits are being consumed faster than expected. The company acknowledged the issue and issued an immediate fix. After a thorough investigation on April 3, it was found that most of the high token consumption, or “burn”, was caused by a small number of specific usage patterns that required large amounts of tokens. It has promised to roll out more efficiency improvements.
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Both OpenAI and Anthropic are expected to pursue initial public offerings later this year, alongside SpaceX, which could begin its roadshow as early as June. The clustering of large IPOs may strain investor demand, potentially delaying listings for other firms such as Canva and Databricks.
“Whether it is entrepreneurs, startups, or the world’s largest enterprises, the message from our customers is the same: Claude is increasingly becoming critical to how businesses work,” said Krishna Rao, Anthropic’s Chief Financial Officer. “This fundraising reflects the incredible demand we are seeing from these customers, and we will use this investment to continue building the enterprise-grade products and models they have come to depend on.