Shipvane · 4 AE roles
Marco E. · joined Cargolio
Fleetora · first roles in DELlamaIndex VS Semantic Kernel_
As of 4 November 2026, Semantic Kernel is named by 622 companies and LlamaIndex by 1,376; LlamaIndex skews to companies under 200 people (41% vs 27%), Semantic Kernel to companies over 1,000 (49% vs 35%).
As of 4 November 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: LlamaIndex's script and mail records show on hundreds of thousands of small sites, Semantic Kernel rarely leaves a trace outside its own apps. Compare on the job-posting numbers; use the footprint for reach.
- LlamaIndex: 2–200 employees
- 41%
- Semantic Kernel: 2–200 employees
- 27%
- LlamaIndex: 1,000+ employees
- 35%
- Semantic Kernel: 1,000+ employees
- 49%
- Postings per company, 90 days
- 2.8 · 4.1
- Website or DNS footprint
- 0 · 0
Who chooses which
Share of each tool's companies in every segment. "Leans" marks a gap of more than two points.
| Segment | LlamaIndex | share | Semantic Kernel | share | Leans |
|---|---|---|---|---|---|
| Self-employed | 54 | 4% | 8 | 1% | LlamaIndex |
| 2-10 employees | 138 | 10% | 27 | 4% | LlamaIndex |
| 11-50 employees | 190 | 14% | 54 | 9% | LlamaIndex |
| 51-200 employees | 243 | 18% | 88 | 14% | LlamaIndex |
| 201-500 employees | 149 | 11% | 71 | 11% | even |
| 501-1000 employees | 126 | 9% | 71 | 11% | Semantic Kernel |
| 1001-5000 employees | 221 | 16% | 118 | 19% | Semantic Kernel |
| 5001-10000 employees | 70 | 5% | 37 | 6% | even |
| 10,001+ employees | 185 | 13% | 148 | 24% | Semantic Kernel |
| Segment | LlamaIndex | share | Semantic Kernel | share | Leans |
|---|---|---|---|---|---|
| Technology & software | 777 | 56% | 296 | 48% | LlamaIndex |
| Business & finance services | 312 | 23% | 152 | 24% | even |
| Manufacturing & industry | 94 | 7% | 69 | 11% | Semantic Kernel |
| Media & content | 36 | 3% | 17 | 3% | even |
| Consumer services & leisure | 26 | 2% | 6 | 1% | even |
| Commerce & trade | 24 | 2% | 16 | 3% | even |
| Public, community & associations | 24 | 2% | 9 | 1% | even |
| Utilities & infrastructure | 24 | 2% | 22 | 4% | even |
| Transport, logistics & rental | 17 | 1% | 10 | 2% | even |
| Property & construction | 16 | 1% | 10 | 2% | even |
| Automotive | 11 | 1% | 4 | 1% | even |
| Health care | 10 | 1% | 8 | 1% | even |
| Segment | LlamaIndex | share | Semantic Kernel | share | Leans |
|---|---|---|---|---|---|
| United States | 821 | 60% | 390 | 63% | Semantic Kernel |
| United Kingdom | 80 | 6% | 38 | 6% | even |
| India | 63 | 5% | 14 | 2% | LlamaIndex |
| Germany | 48 | 3% | 19 | 3% | even |
| France | 46 | 3% | 23 | 4% | even |
| Canada | 30 | 2% | 21 | 3% | even |
| Brazil | 23 | 2% | – | – | outside top 12 |
| Australia | 18 | 1% | 12 | 2% | even |
| Singapore | 17 | 1% | – | – | outside top 12 |
| Netherlands | 14 | 1% | 7 | 1% | even |
| Switzerland | 12 | 1% | – | – | outside top 12 |
| Spain | 12 | 1% | 12 | 2% | even |
| Sweden | – | – | 10 | 2% | outside top 12 |
| Portugal | – | – | 5 | 1% | outside top 12 |
| Romania | – | – | 5 | 1% | outside top 12 |
| Segment | LlamaIndex | share | Semantic Kernel | share | Leans |
|---|---|---|---|---|---|
| Data & AI | 2,836 | 60% | 1,599 | 55% | LlamaIndex |
| Software engineering | 1,170 | 25% | 764 | 27% | even |
| IT operations & business systems | 103 | 2% | 110 | 4% | even |
| Sales | 58 | 1% | 22 | 1% | even |
| Product, program & project management | 50 | 1% | 20 | 1% | even |
| General management & consulting | 44 | 1% | 36 | 1% | even |
| Engineering (non-software) | 39 | 1% | 26 | 1% | even |
| Customer service & success | 5 | 0% | 1 | 0% | even |
| Finance & accounting | 5 | 0% | 4 | 0% | even |
| Marketing & communications | 4 | 0% | 6 | 0% | even |
| Administration & office | 2 | 0% | – | – | outside top 12 |
| Education & training | 2 | 0% | 1 | 0% | even |
| Legal, compliance & risk | 2 | 0% | 1 | 0% | even |
| Quality, safety & environment | 2 | 0% | – | – | outside top 12 |
| research and science | 2 | 0% | – | – | outside top 12 |
| arts media and entertainment | 1 | 0% | 1 | 0% | even |
| Business development & strategy | 1 | 0% | 2 | 0% | even |
| Design & UX | 1 | 0% | 1 | 0% | even |
| facilities cleaning and security | 1 | 0% | 1 | 0% | even |
| Unclassified | 1 | 0% | 1 | 0% | even |
| construction and civil | – | – | 2 | 0% | outside top 12 |
The companies behind each column
Companies using LlamaIndex →
Companies using Semantic Kernel →
llm app frameworks ranked →
Quote the sentence with the date and the link. The numbers change daily; the link always shows the current ones.
Semantic Kernel is named by 622 companies in job postings and LlamaIndex by 1,376; 352 name both. (Breaknorm, 4 November 2026, https://breaknorm.co/compare/llamaindex-vs-semantic-kernel)
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.
LlamaIndex vs Semantic Kernel: questions
Which is more used, LlamaIndex or Semantic Kernel?
By companies naming it in their own job postings, LlamaIndex (1,376) over Semantic Kernel (622). By website-and-DNS footprint, Semantic Kernel (0 vs 0), because its scripts and mail records sit on many small company sites.
Who chooses LlamaIndex?
41% of LlamaIndex companies have 2 to 200 employees, against 27% for Semantic Kernel. 35% of LlamaIndex companies have over 1,000 employees, against 49% for Semantic Kernel.
Do companies run both?
352 companies name both in their postings, usually LlamaIndex in marketing and Semantic Kernel 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.
Get either list your way
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with the person who owns it
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