OpenAI’s enterprise adoption appears to be accelerating, at the expense of rivals
OpenAi seems to be doing well for the rivals in the race to capture the AI spending of Enterprises, according to transaction data from Fintech Firm Ramp.
According to Ramp’s AI -IndexThat estimates the business adoption rate of AI products by drawing out of the map and invoice data of disaster, 32.4% of American companies paid for subscriptions to OpenAI AI models, platforms and tools from April. That has risen from 18.9% in January and 28% in March.
Competitors have difficulty making similar progress, according to the data from disaster. Only 8% of companies had subscriptions to Anthropic products from last month compared to 4.6% in January. In the meantime, Google AI subscriptions saw a decrease of 2.3% in February to 0.1%, meanwhile.
“OpenAi continues to add customers faster than any other company on the Ramp Platform,” wrote Ramp -economist Ara Kharzian in a Blog post published Tuesday. “Us […] RAMP AI Index shows the business advice of OpenAi growth faster than competitive model companies. “
To be clear, the AI index of disaster is not a perfect measure. It only looks at a sample of data on company expenditure of around 30,000 companies. In addition, because the index AI products and services identify with the help of trade name and line item details, it is probably missing issued in other cost centers.
Yet the figures suggest that OpenAi is strengthened on the large and growing Enterprise Market for AI.
In one report OpenAi published in April said it had more than 2 million business users, an increase of 1 million users From September. The company expects the income of companies to contribute considerably to the business results. According to BloombergThis year, OpenAI projects $ 12.7 billion in income and $ 29.4 billion in 2026.
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OpenAi, who does not expect the cash flow to be positive until 2029, are close plans to charge business customers thousands of dollars for specialized AI “agents” that are designed to help with software engineering and research tasks.
