Description
Our transaction set is built using company models that extract line-item text from paid receipts and bills uploaded by the purchaser following a sale. We use internal and external data, alongside proprietary company models, to categorize businesses in size, segments, and sectors. Small businesses represent companies with 1 to 24 employees. Midsize businesses represent companies with 25 to 99 employees. Large companies include companies with 100 or more employees, including enterprise firms with thousands of employees. These and other report definitions are subject to change.
This report analyzes card and bill pay data observable by Ramp or data available from trusted third-party sources. Any conclusions should not be taken as an indication of a company’s or Ramp’s business performance. Data points are not inclusive of all Ramp businesses.
Key findings:
- Despite fears of an AI bubble, several indicators show businesses are increasing their long-term investments in these tools. AI adoption is increasing rapidly, especially in typically late-adoption sectors like manufacturing and health care. In addition, retention of AI products and services is increasing as the product ecosystem improves and businesses identify the services they actually need.
- As AI tools catch on, it’s OpenAI’s race to lose when it comes to serving the most U.S. companies. Among businesses using AI, 35.6% choose OpenAI. The next-closest model provider, Anthropic, has an adoption rate that’s about a third of OpenAI’s at 12.2%.
- We see no decline in aggregate business spend due to tariffs, though the full impact of these duties remains unclear. Ramp data shows tariff enforcement has significantly lagged tariff announcements, and the share of transactions including tariffs continues to increase as enforcement flows through the system.
