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OpenAI’s enterprise adoption appears to be accelerating, at the expense of rivals

Posted on May 10, 2025

According to data from the Finnik firm RPP transaction, Open AI is pulling rivals well in the race to seize AI costs of EI enterprises.

According to Ai Index of RampWhich estimates AI product business adoption rate by drawing on the ramp card and billpay data, 32.4 % of the US business was paying for open IAI models, platforms and tools by April. It is more than 18.9 % in January and more than 28 % in March.

Ramp data shows that rivals have struggled for similar progress. Only 8 % of the businesses compared to the previous month used to buy anthropic products, while in January was 4.6 %. In the meantime, Google AI’s subscriptions saw a decrease of 0.1 % in February to down from 2.3 %.

Ramp economist Ara Kharzian wrote in one, “The open -ramp platform continues to add consumers to any other business than any other business.” Blog Post appeared on Tuesday. “Our […] The Ramp AI Index has shown the adoption of open AI business as a growing business compared to competing model companies.

Ramp AI Index May
Data from the Ramp AI Index.Image Credit:Rap

Clearly, the ramp AI index is not a great move. It only considers the corporate spending data samples of 30,000 companies. In addition, the index identifies AI products and services using the Merchant Name and Line Item details, so it reduces costs spent in other cost centers.

Nevertheless, the data shows that Openi is strengthening his grip on a large and growing Enterprise market for AI.

A Report Published in April, Openi said it has more than two million business users, which has increased by one million users By September. The company expects enterprise revenue to play a significant role in its bottom. According to BloombergOpeni is predicting $ 7 12.7 billion this year and $ 29.4 billion in 2026.

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Openi, which does not expect cash flow by 2029 to be positive, is plan to charge business consumers Thousands of dollars For special AI “agents” designed to assist in software engineering and research works.

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