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


Openai seems to be pulling well in front of rivals in the race to capture the AI ​​-expense of Enterprises, according to transaction data from Fintech firm RAMP.

According to AI -Index of RAMPWhich estimates the business adoption rate of AI products by using the Ramp and Bill Pay Data card, 32.4% of US companies paid for subscriptions to Openai AI models, platforms and tools in April. This rose from 18.9% in January and 28% in March.

Competitors have struggled to make similar advances, Ramp’s data shows. Only 8% of companies had subscriptions to Antropic products since last month compared to 4.6% in January. Google AI bones saw a decline of 2.3% in February to 0.1% in April, meanwhile.

“Openai continues to add customers faster than any other company on Ramp’s platform,” wrote Ramp economist Ara Kharzian in Blog post released on Tuesday. “Our […] Ramp AI -index shows commercial adoption of Openai growing faster than competing model companies. ”

Ramp ai -index can
Data from the ramp AI index.Image Credits:Ramp

To be clear, Ramp’s AI index is not a perfect measure. It only looks at a sample of corporate spending data from about 30,000 companies. Additionally, as the index identifies AI products and services using business name and line details, it is likely to miss spending on other cost centers.

However the figures suggest that Openai reinforces his grip on the big and growing corporate market for AI.

In a a Report Released in April, Openai said it has more than 2 million business users, an increase of 1 million users From September. The company expects corporate income to contribute significantly to its bottom line. According to BloombergOpenai projects $ 12.7 billion income this year and $ 29.4 billion in $ 2026.

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Openai, which does not foresee be cash stream positive until 2029, it multilingual plans to load business customers thousands of dollars For specialized AI -“agents” designed to assist with software engineering and research tasks.



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