Every category where a model named Amazon SageMaker for a mid-market B2B company. Share is first choices across the direct, paraphrase, budget and scale prompts; rank is within every product named in that category.

Category	Function	Share	Rank	Negative rate	Labels	Quadrant	Since September 2026
ML platforms	Data platform	11%	3 of 107	25%	51	criticized challenger	=heldSince September 2026: 10% → 10%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
AI governance platforms	Data platform	0%	34 of 135	0%	4	under 10 labels · led by Credo AI at 18%

Movement

Since September 2026, Amazon SageMaker held within the floor in all two categories: no change cleared 11 points.

Best category · ML platforms · by segment

Small business▲+6Since September 2026: 2% → 8%, +6 points. Inside the 11-point floor: within noise. Read over the models both editions asked.

8%from 2% in September 2026

Inside the floor by 5 pointsRank 14 → 4 of 131

Mid-market=heldSince September 2026: 10% → 10%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.

10%from 10% in September 2026

Inside the floor by 11 pointsRank 3 → 4 of 97

Enterprise▼−4Since September 2026: 19% → 15%, −4 points. Inside the 11-point floor: within noise. Read over the models both editions asked.

15%from 19% in September 2026

Inside the floor by 7 pointsRank 2 of 55, unchanged

All categories · Mid-market

Category	September 2026	Now	Change	Reading	Rank
ML platforms	10%	10%	=heldSince September 2026: 10% → 10%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.	Within noise	Rank 3 of 107, unchanged
AI governance	0%	0%	newNew since September 2026: not ranked then, 0% now.	New this edition	Rank 34 of 135, unchanged

Shares here are read over the models both editions asked, so they can differ by a point or two from the standing above, which counts every model in this edition.

The floor is 11 points of share, measured: how far the models move a leader on their own when the same questions are asked twice with nothing changed. A larger change is movement; a smaller one is noise, and both are shown. Movement is read over the twelve models both editions asked; GPT-6 Luna, Muse Glimmer 30B joined this edition and are in the standing but not yet in the comparison. How the floor is measured · The editions

By model

How each model treated Amazon SageMaker across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.

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Model	First choice	Alternative	Mention	Negative	Labels
Claude Haiku 4.5	1	2	0	0	3
GPT-5.4 mini	3	1	0	0	4
Gemini 3.5 Flash	0	0	2	3	5
Perplexity Sonar	0	1	1	0	2
Grok 4.20	0	3	2	2	7
Mistral Small	1	1	1	1	4
DeepSeek V4 Flash	0	2	2	2	6
Llama 4 Maverick	0	0	0	1	1
Qwen 3.7 Flash	0	0	3	1	4
Kimi K2	1	3	1	1	6
GLM 4.7 FlashX	0	0	1	0	1
MiniMax M2.5	1	2	0	1	4
GPT-6 Luna	0	3	0	0	3
Muse Glimmer 30B	1	1	2	1	5

By framing

Which of the six questions produced the naming. By model says how often; this says asked what. The first-choice count on the right carries the marks of the models that produced it.

FramingLabels by classFirst choices

Direct24 labels5

Paraphrase34 labels7

Comparative41 labels7not counted in share

Budget-constrained26 labels4

Scale-constrained16 labels1

Negative31 labelsNone

First choiceAlternativeMentionNegative172 labels in all, every segment counted; 17 of the 24 first choices count toward share, since the comparative and negative framings do not. The bar is one segment per label class, to scale within the framing.

What the models said for it

Verbatim evidence the judge attached to positive labels.

“AWS SageMaker and Azure Machine Learning are the most practical managed choices for companies that are already standardized on one cloud.” Muse Glimmer 30B · ML platforms · paraphrase prompt · first choice

“Market Share: ~34% (leader) ... Primary Strength: Broadest ML feature set and deepest AWS integration” Kimi K2 · ML platforms · comparative prompt · first choice

“I'd usually recommend Amazon SageMaker or Google Vertex AI as the best default choices” GPT-5.4 mini · ML platforms · paraphrase prompt · first choice

“I'd likely recommend starting with either SageMaker or Azure Machine Learning” MiniMax M2.5 · ML platforms · paraphrase prompt · first choice

And against it

Verbatim evidence attached to negative labels. A warning on a product with few labels is a warning; on a product with many, it is one voice among them.

“Some AI models recommend avoiding this platform if you are a small team, a startup, or just starting out.” Llama 4 Maverick · ML platforms · negative prompt · hard negative

“models explicitly advising to avoid it unless you have significant resources or a large team” Mistral Small · ML platforms · negative prompt · hard negative

“Avoid enterprise-scale platforms like SageMaker, Dataiku, or DataRobot — they're overkill” DeepSeek V4 Flash · ML platforms · negative prompt · hard negative

“While major cloud providers (AWS SageMaker, Google Vertex AI, Azure Machine Learning) offer incredible infrastructure, relying entirely on them poses significant risks.” Qwen 3.7 Flash · ML platforms · negative prompt · soft negative

Named alongside

The products named in the same answers as Amazon SageMaker, over the 172 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Amazon SageMaker was named but was not.

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ProductSame answerTook the first choice insteadHead to head

Google Vertex AI140 of 17210Compare →

Azure Machine Learning136 of 17214Compare →

Databricks Mosaic AI114 of 17226Compare →

DataRobot61 of 1724Compare →

MLflow49 of 17210Compare →

Dataiku44 of 1723Not among the top eight

Kubeflow36 of 1720Not among the top eight

H2O.ai35 of 1723Not among the top eight

Domino Data Lab23 of 1725Not among the top eight

Snowflake Cortex AI22 of 1720Not among the top eight

A head-to-head page exists where both products are among a category's top eight. The other rows are the same fact without a page behind them, so they link to the product instead.

What carried it into the answer

The sites and pages cited by the answers that named Amazon SageMaker. A fact about retrieval, not a lever on the model.

Citations exist only for the models that return a source list, five of the fourteen in this edition, so these counts come from 155 of the 172 answers that named Amazon SageMaker and are not a share of its labels.

Domains cited

g2.com67

checkthat.ai51

it-ai-index.com40

devopsschool.com37

learn.g2.com37

eweek.com33

deepusecase.com31

databricks.com25

dataiku.com25

linkedin.com25

371 of the 371 domain citations in answers naming Amazon SageMaker came from somebody else's page.

Pages cited

checkthat.ai/answers/what-are-the-best-machine-learning-platforms34

eweek.com/artificial-intelligence/machine-learning-solutions30

learn.g2.com/best-machine-learning-tools30

g2.com/categories/data-science-and-machine-learning-platforms26

guptadeepak.com/tools/top-10-mlops-platforms-202624

dagshub.com/blog/top-deep-learning-platforms23

dataiku.com/blog/enterprise-machine-learning-platforms-how-to-choose23

deepusecase.com/blog/top-machine-learning-platforms22

Pages are listed as the models cited them.

Search and answers

Where Amazon SageMaker stands in Google search beside where it stands in the models' answers.

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In search

Google, US estimates

Searches for its name, Google: 2,400 a month (“amazon sagemaker”)
AI search demand for its name, est.: 192 a month
Its own site: It sits on Amazon's site (amazon.com), so there are no site figures for it alone

In answers

This edition

Share of first choices

11%

rank 3 of 107 in ML platforms

Segment leader

21%

Azure Machine Learning

First choices: 17 across its categories
Named in: 172 answers
Its own site cited: in 155 of the answers that named it

Search figures are US estimates from DataForSEO, read September 28, 2026; AI search demand is its modeled, directional estimate, not a count of queries to any assistant. The answers are this edition's. Two measurements side by side: neither is read as the cause of the other.

Names read as Amazon SageMaker

What the judge wrote, as written, with how often. The vendor table decides that these count as Amazon SageMaker; a claim can dispute any of them.

AWS SageMaker 23Amazon SageMaker (AWS) 4Amazon SageMaker AI 3AWS SageMaker Studio 1SageMaker 1

Follow Amazon SageMaker

An email the morning each edition publishes: where this product moved, where it held, and by how much against the noise floor. One address, confirmed by a click; a stop link in every email.

Already following? Everything you follow, with a stop for each.

The company

Amazon is the company behind Amazon SageMaker.

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On record

Company records

Also from Amazon: Amazon API Gateway, Amazon API Gateway HTTP APIs, Amazon AppStream 2.0, Amazon Athena, Amazon Athena Federated Query, Amazon Aurora, Amazon Aurora Serverless, Amazon Bedrock and 46 more

In its own words

Stated by the vendor, not checked

Positioning: The next generation of Amazon SageMaker is the center for all your data, analytics, and AI
aws.amazon.com/sagemaker
For: organizations
aws.amazon.com/sagemaker
Customers named: ToyotaCharter CommunicationsLennarCarrierNatWest Group
Not stated on the pages read: Price, starting price, free plan or trial, integrations, certifications, hosting

What Amazon SageMaker's own pages state, read October 5, 2026: aws.amazon.com/sagemaker. A claimed page can correct any of them.

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 Amazon SageMaker'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 Amazon SageMaker, 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 Amazon SageMaker by email, built from the raw record of the edition. It shows:

where Amazon SageMaker 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 Amazon SageMaker, 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.

Badges

Wins only: a badge exists where Amazon SageMaker is ranked in a category's top three this edition. Three sizes, one file each, light and dark; the code is under each.

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Amazon SageMaker is among the products AI models recommend first in ML platforms this edition. Each badge says so in the buyer's words, names the edition, and links to the standing. The next edition issues a new badge; this one stays true as a record of October 2026.

Wide · 320 × 104 Website, beside other badges

Show the code

<a href="https://it-ai-index.com/it-data/ml-platforms/"><img src="https://it-ai-index.com/badges/2026-10/amazon-sagemaker--ml-platforms-wide.svg" alt="Among AI models' top three in ML platforms, October 2026 Edition, IT AI Recommendation Index" width="320" height="104"></a>

Copy the code as it is. The link is part of the badge: it points at the ML platforms standing, where the claim can be checked.

Square · 240 × 240 LinkedIn, slides

Show the code

<a href="https://it-ai-index.com/it-data/ml-platforms/"><img src="https://it-ai-index.com/badges/2026-10/amazon-sagemaker--ml-platforms-square.svg" alt="Among AI models' top three in ML platforms, October 2026 Edition, IT AI Recommendation Index" width="240" height="240"></a>

Copy the code as it is. The link is part of the badge: it points at the ML platforms standing, where the claim can be checked.

Compact · 200 × 56 Email signature, footer

Show the code

<a href="https://it-ai-index.com/it-data/ml-platforms/"><img src="https://it-ai-index.com/badges/2026-10/amazon-sagemaker--ml-platforms-compact.svg" alt="Among AI models' top three in ML platforms, October 2026 Edition, IT AI Recommendation Index" width="200" height="56"></a>

Copy the code as it is. The link is part of the badge: it points at the ML platforms standing, where the claim can be checked.

Badges read on light and dark pages. Alt text carries the claim, the category, the edition and the index, so it stays a citation where the image does not load.