SAP · 1 category · Not namedSAP AI
Listed in the vendor table for ML platforms. Not named in any of the 84 answers those categories produced in the October 2026 Edition: fourteen models, six prompts per category and segment, every question asked three times, on behalf of a small B2B company, a mid-market B2B company and an enterprise B2B company, with every standing computed within one segment.
Standing
Not named in 84 answers
Absence in a measured set of answers is a finding, not a verdict: it says the models did not reach for SAP AI when asked these questions this month. The products they named instead are listed by category below.
By buyer segment
The same categories asked on behalf of a different buyer. Each share and rank is computed within its segment; the columns sit side by side and are never added together.
| Category | Small business | Mid-market | Enterprise |
|---|---|---|---|
| ML platforms | 0% · 137 of 139 4 labels | not named | not named |
Where it was not named
Each category SAP AI belongs to, the answers collected there, and who the models named first instead.
| Category | Function | Named in | Named instead, first-choice share |
|---|---|---|---|
| ML platforms | Data platform | 0 of 84 | Azure Machine Learning 21% · Databricks Mosaic AI 14% · Amazon SageMaker 11% |
Is this your product?
Claim this page
Claiming is free and changes nothing in the data. A claimed page shows a verified contact who is told when each edition publishes and when SAP AI's standing changes by more than the noise floor; the right to propose corrections to the vendor table, meaning names the judge wrote that should or should not read as SAP AI, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.
What a new claim receivesHide what a new claim receives
A new claim receives the current edition's vendor brief for SAP AI by email, built from the raw record of the edition. It shows:
- where SAP AI is named, by buyer and by framing, and which cells hold its first choices;
- the claims the models make when they name it, ranked, with the strongest and the weakest quoted;
- its vocabulary against the segment leader's, and the pages the models cited;
- who was chosen in the answers that did not name SAP AI, and every reason the record gives;
- a battlecard for each top rival: the head-to-head split, why they win, and the reservation quoted against them;
- one page of published figures cleared to show a buyer.