Anthropic VS Azure AI Foundry
As of 30 October 2026, Azure AI Foundry is named by 784 companies and Anthropic by 1,334; Anthropic skews to companies under 200 people (46% vs 25%), Azure AI Foundry to companies over 1,000 (48% vs 28%).
As of 30 October 2026 · refreshed daily · counts move as websites, DNS and career sites are re-read.
The website-and-DNS footprint is not comparable between a marketing suite and a CRM: Anthropic's script and mail records show on hundreds of thousands of small sites, Azure AI Foundry rarely leaves a trace outside its own apps. Compare on the job-posting numbers; use the footprint for reach.
- Anthropic: 2–200 employees
- 46%
- Azure AI Foundry: 2–200 employees
- 25%
- Anthropic: 1,000+ employees
- 28%
- Azure AI Foundry: 1,000+ employees
- 48%
- Postings per company, 90 days
- 2.7 · 3.8
- Website or DNS footprint
- 138,892 · 0
Who chooses which
Share of each tool's companies in every segment. "Leans" marks a gap of more than two points.
| Segment | Anthropic | share | Azure AI Foundry | share | Leans |
|---|---|---|---|---|---|
| Self-employed | 30 | 2% | 8 | 1% | even |
| 2-10 employees | 151 | 11% | 25 | 3% | Anthropic |
| 11-50 employees | 238 | 18% | 59 | 8% | Anthropic |
| 51-200 employees | 229 | 17% | 110 | 14% | Anthropic |
| 201-500 employees | 176 | 13% | 107 | 14% | even |
| 501-1000 employees | 133 | 10% | 95 | 12% | Azure AI Foundry |
| 1001-5000 employees | 193 | 14% | 177 | 23% | Azure AI Foundry |
| 5001-10000 employees | 58 | 4% | 57 | 7% | Azure AI Foundry |
| 10,001+ employees | 126 | 9% | 146 | 19% | Azure AI Foundry |
| Segment | Anthropic | share | Azure AI Foundry | share | Leans |
|---|---|---|---|---|---|
| Technology & software | 740 | 55% | 315 | 40% | Anthropic |
| Business & finance services | 305 | 23% | 200 | 26% | Azure AI Foundry |
| Manufacturing & industry | 62 | 5% | 91 | 12% | Azure AI Foundry |
| Media & content | 45 | 3% | 15 | 2% | even |
| Consumer services & leisure | 43 | 3% | 12 | 2% | even |
| Commerce & trade | 27 | 2% | 24 | 3% | even |
| Utilities & infrastructure | 22 | 2% | 36 | 5% | Azure AI Foundry |
| Property & construction | 21 | 2% | 24 | 3% | even |
| Health care | 19 | 1% | 19 | 2% | even |
| Public, community & associations | 16 | 1% | 13 | 2% | even |
| Hospitality & travel | 15 | 1% | – | – | outside top 12 |
| Transport, logistics & rental | 12 | 1% | 13 | 2% | even |
| Automotive | – | – | 10 | 1% | outside top 12 |
| Segment | Anthropic | share | Azure AI Foundry | share | Leans |
|---|---|---|---|---|---|
| United States | 855 | 64% | 401 | 51% | Anthropic |
| United Kingdom | 87 | 7% | 63 | 8% | even |
| Germany | 64 | 5% | 61 | 8% | Azure AI Foundry |
| France | 40 | 3% | 21 | 3% | even |
| Canada | 38 | 3% | 25 | 3% | even |
| India | 37 | 3% | 13 | 2% | even |
| Australia | 19 | 1% | 28 | 4% | Azure AI Foundry |
| Netherlands | 18 | 1% | 22 | 3% | even |
| Poland | 17 | 1% | 12 | 2% | even |
| Sweden | 17 | 1% | – | – | outside top 12 |
| Singapore | 16 | 1% | – | – | outside top 12 |
| Spain | 15 | 1% | – | – | outside top 12 |
| Switzerland | – | – | 15 | 2% | outside top 12 |
| Belgium | – | – | 12 | 2% | outside top 12 |
| Brazil | – | – | 12 | 2% | outside top 12 |
| Segment | Anthropic | share | Azure AI Foundry | share | Leans |
|---|---|---|---|---|---|
| Data & AI | 1,876 | 40% | 1,473 | 44% | Azure AI Foundry |
| Software engineering | 1,412 | 30% | 641 | 19% | Anthropic |
| IT operations & business systems | 252 | 5% | 522 | 16% | Azure AI Foundry |
| Sales | 148 | 3% | 86 | 3% | even |
| Product, program & project management | 136 | 3% | 111 | 3% | even |
| General management & consulting | 51 | 1% | 60 | 2% | even |
| Business development & strategy | 50 | 1% | 7 | 0% | even |
| Engineering (non-software) | 46 | 1% | 18 | 1% | even |
| Marketing & communications | 37 | 1% | – | – | outside top 12 |
| Customer service & success | 36 | 1% | – | – | outside top 12 |
| Finance & accounting | 17 | 0% | 6 | 0% | even |
| Design & UX | 14 | 0% | – | – | outside top 12 |
| Logistics warehouse and transport | – | – | 8 | 0% | outside top 12 |
| Construction and civil | – | – | 6 | 0% | outside top 12 |
| Education & training | – | – | 3 | 0% | outside top 12 |
The companies behind each column
Companies using Anthropic →
Companies using Azure AI Foundry →
LLM models & APIs ranked →
Quote the sentence with the date and the link. The numbers change daily; the link always shows the current ones.
Azure AI Foundry is named by 784 companies in job postings and Anthropic by 1,334; 112 name both. (Breaknorm, 30 October 2026, https://breaknorm.co/compare/anthropic-vs-azure-ai-foundry)
Read from the source, not self-reported
Every number on this page can be traced to a page we crawled or a posting we read. Full methodology →
- Job postingsRead hourly from career sites. A tool counts when the employer's own text names it as the team's system; both tools can count for one company.
- Website and DNSScripts and embeds on the company's pages, plus SPF, DKIM, MX and CNAME records of its domain that point at the vendor.
- SegmentsCountry, size and industry from the company profile built from its website.
- Not a reviewNo ratings, prices or feature claims. For those, read the vendors.
Anthropic vs Azure AI Foundry: questions
Which is more used, Anthropic or Azure AI Foundry?
By companies naming it in their own job postings, Anthropic (1,334) over Azure AI Foundry (784). By website-and-DNS footprint, Anthropic (138,892 vs 0), because its scripts and mail records sit on many small company sites.
Who chooses Anthropic?
46% of Anthropic companies have 2 to 200 employees, against 25% for Azure AI Foundry. 28% of Anthropic companies have over 1,000 employees, against 48% for Azure AI Foundry.
Do companies run both?
112 companies name both in their postings, usually Anthropic in marketing and Azure AI Foundry in sales, or during a migration.
Where do these numbers come from?
From the employer's own text in job postings read hourly from career sites, and from scripts found on company websites in our crawl. No vendor data, no surveys.
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