Back
Enterprises prefer Anthropic's AI models over anyone else's, including OpenAI's
webCredibility Rating
3/5
Good(3)Good quality. Reputable source with community review or editorial standards, but less rigorous than peer-reviewed venues.
Rating inherited from publication venue: TechCrunch
Relevant to understanding how safety-focused AI development (Anthropic's core mission) intersects with commercial success; useful context for discussions on whether safety and capability are complementary in enterprise markets.
Metadata
Importance: 38/100news articlenews
Summary
A TechCrunch report citing market data indicates that Anthropic holds 32% of enterprise LLM market share by usage as of mid-2025, surpassing OpenAI, which previously held 50% just two years ago. This marks a significant shift in enterprise AI adoption patterns, suggesting that Anthropic's focus on safety and reliability is resonating with business customers.
Key Points
- •Anthropic holds 32% of enterprise LLM market share by usage as of July 2025, leading all competitors including OpenAI.
- •OpenAI previously held ~50% of enterprise LLM market share roughly two years ago, representing a sharp competitive reversal.
- •The shift suggests enterprise customers may be prioritizing reliability, safety, and trust attributes associated with Anthropic's Claude models.
- •This market dynamic reflects how safety-focused positioning can translate into commercial competitive advantage in enterprise deployments.
Cited by 1 page
| Page | Type | Quality |
|---|---|---|
| Anthropic | Organization | 74.0 |
2 FactBase facts citing this source
Cached Content Preview
HTTP 200Fetched Apr 7, 20266 KB
Enterprises prefer Anthropic's AI models over anyone else's, including OpenAI's | TechCrunch
–:–:–:–
THIS WEEK ONLY: Save close to $500 on your Disrupt pass. Offer ends April 10, 11:59 p.m. PT. Register here.
Save up to $680 on your Disrupt 2026 pass. Ends 11:59 p.m. PT tonight. REGISTER NOW .
Close
Image Credits: Anthropic
Enterprise
Enterprises prefer Anthropic’s AI models over anyone else’s, including OpenAI’s
Rebecca Szkutak
1:32 PM PDT · July 31, 2025
AI research lab Anthropic’s AI models are now the top choice for enterprises, surpassing OpenAI.
Anthropic now holds 32% of the enterprise large language model market share by usage, according to a report from Menlo Ventures released on Thursday. OpenAI holds the second-largest market share by usage among enterprises, with 25%.
The figure marks a strong reversal from even just a couple of years ago. Since 2023, OpenAI has seen its market share among enterprises decline sharply, according to the report, as Anthropic’s has steadily risen over the same timeframe. OpenAI held 50% of the enterprise market share by usage just two years ago while Anthropic had 12%.
Google has seen enterprise usage for its models increase over the last few years as well.
Anthropic has an even larger market share when it comes to coding, with 42% of the enterprise market share, the largest market share by a wide margin. Enterprise usage of Anthropic’s AI models are more than double OpenAI’s, when it comes to coding, which garnered 21% of overall market share.
Anthropic’s release of its Claude 3.5 Sonnet model in June 2024 is what laid the foundation for the company’s surge in usage, according to the report. The release of Claude 3.7 Sonnet in February 2025 only accelerated that momentum.
The findings from Menlo Ventures align with anecdotal chatter in the industry, which suggested that enterprise and startup developers preferred Claude over OpenAI’s ChatGPT. Meanwhile, OpenAI has a strong foothold on the consumer side of the house. The company reported last week that its users send more than 2.5 billion prompts to ChatGPT a day.
Techcrunch event
This Week Only: Up to $482 savings for Disrupt 2026
Offer ends April 10, 11:59 p.m. PT
Your next round. Your next hire. Your next breakout opportunity. Find it at TechCrunch Disrupt 2026, where 10,000+ founders, investors, and tech leaders gather for three days of 250+ tactical sessions, powerful introducti
... (truncated, 6 KB total)Resource ID:
3a07423e8bf204c2 | Stable ID: sid_jTTigZ5E2D