• Menu
  • Skip to right header navigation
  • Skip to main content
  • Skip to primary sidebar

DigiBanker

Bringing you cutting-edge new technologies and disruptive financial innovations.

  • Home
  • Pricing
  • Features
    • Overview Of Features
    • Search
    • Favorites
  • Share!
  • Log In
  • Home
  • Pricing
  • Features
    • Overview Of Features
    • Search
    • Favorites
  • Share!
  • Log In

OpenAI’s enterprise adoption appears to be accelerating, at the expense of rivals – 32% of U.S. businesses are paying for subscriptions to OpenAI vs 8% and 0.1% subscribing to Anthropic’s products and Google AI respectively

May 12, 2025 //  by Finnovate

OpenAI appears to be pulling well ahead of rivals in the race to capture enterprises’ AI spend, according to transaction data from fintech firm Ramp. According to Ramp’s AI Index, which estimates the business adoption rate of AI products by drawing on Ramp’s card and bill pay data, 32.4% of U.S. businesses were paying for subscriptions to OpenAI AI models, platforms, and tools as of April. That’s up from 18.9% in January and 28% in March. Competitors have struggled to make similar progress, Ramp’s data shows. Just 8% of businesses had subscriptions to Anthropic’s products as of last month compared to 4.6% in January. Google AI subscriptions saw a decline from 2.3% in February to 0.1% in April, meanwhile. “OpenAI continues to add customers faster than any other business on Ramp’s platform,” wrote Ramp Economist Ara Kharzian.  “Our Ramp AI Index shows business adoption of OpenAI growing faster than competitor model companies.” To be clear, Ramp’s AI Index isn’t a perfect measure. It only looks at a sample of corporate spend data from around 30,000 companies. Moreover, because the index identifies AI products and services using merchant name and line-item details, it likely misses spend lumped into other cost centers. Still, the figures suggest that OpenAI is strengthening its grip on the large and growing enterprise market for AI. OpenAI is projecting $12.7 billion in revenue this year and $29.4 billion in 2026.

Read Article

Category: Additional Reading

Previous Post: « Talent development, right data infrastructure, industry-specific strategic bets, responsible AI governance and agentic architecture are key for scaling enterprise AI initiatives
Next Post: Dianomic’s solution supports live digital twins and OT/IT convergence by abstracting enterprise-wide machines, sensors, and processes into a unified streaming analytics system and real-time operational data at scale »

Copyright © 2025 Finnovate Research · All Rights Reserved · Privacy Policy
Finnovate Research · Knyvett House · Watermans Business Park · The Causeway Staines · TW18 3BA · United Kingdom · About · Contact Us · Tel: +44-20-3070-0188

We use cookies to provide the best website experience for you. If you continue to use this site we will assume that you are happy with it.