IT AI Index

Index › Products › Google Cloud AutoML · October 2026 Edition

Google Cloud · 1 category · Named, not ranked

Google Cloud AutoML

6Judge labels

0First choices

0Negative labels

5 / 14Models named it

1Category

October 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-10.8, every buyer segment counted.

Standing

2 labels, too few to rank

A product needs 10 labels in a category before a share or quadrant is stated. Google Cloud AutoML was named 2 times in ML platforms, where Azure Machine Learning led with 21%. The labels and the evidence are below, counted exactly.

By buyer segmentRead the same way at every buyer size.

Small business32 of 139

under the label threshold

Mid-market34 of 107

under the label threshold

Enterprisenot named

No model named it for this buyer.

In ml platforms · each standing computed within its segment · bars are 0 to 100 · the accent bar is the product's own best reading

Standing by category

Every category where a model named Google Cloud AutoML 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	0%	34 of 107	0%	2	under 10 labels · led by Azure Machine Learning at 21%	newNew since September 2026: not ranked then, 0% now.

Movement

Since September 2026, Google Cloud AutoML held within the floor in its one category: no change cleared 11 points.

Best category · ML platforms · by segment

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

0%from 0% in September 2026

Inside the floor by 11 pointsRank 96 → 35 of 131

Mid-marketnewNew since September 2026: not ranked then, 0% now.

0%from 0% in September 2026

Inside the floor by 11 pointsRank 34 of 97, unchanged

All categories · Mid-market

Category	September 2026	Now	Change	Reading	Rank
ML platforms	0%	0%	newNew since September 2026: not ranked then, 0% now.	New this edition	Rank 34 of 107, 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 Google Cloud AutoML across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.

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

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

Direct2 labelsNone

Paraphrase0 labelsNone

Comparative0 labelsNone

Budget-constrained2 labelsNone

Scale-constrained0 labelsNone

Negative2 labels1not counted in share

First choiceAlternativeMentionNegative6 labels in all, every segment counted; 0 of the 1 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.

“you can explore paid options like Akkio or Google Cloud AutoML” MiniMax M2.5 · ML platforms · budget prompt · alternative

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.

No model argued against it.

Named alongside

The products named in the same answers as Google Cloud AutoML, over the 6 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Google Cloud AutoML was named but was not.

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ProductSame answerTook the first choice insteadHead to head

Azure Machine Learning5 of 61Not among the top eight

Google Vertex AI5 of 61Not among the top eight

Amazon SageMaker3 of 60Not among the top eight

KNIME Analytics Platform2 of 62Not among the top eight

BigML2 of 61Not among the top eight

Akkio2 of 60Not among the top eight

DataRobot2 of 60Not among the top eight

Databricks Mosaic AI2 of 60Not among the top eight

Levity2 of 60Not among the top eight

Obviously AI2 of 60Not 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 Google Cloud AutoML. 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 6 of the 6 answers that named Google Cloud AutoML and are not a share of its labels.

Domains cited

g2.com5

spotsaas.com4

eweek.com3

it-ai-index.com3

vocal.media3

appreviewlab.com2

byteplus.com2

checkthat.ai2

coincodecap.com2

deepusecase.com2

Twenty-eight of the twenty-eight domain citations in answers naming Google Cloud AutoML came from somebody else's page.

Pages cited

g2.com/categories/data-science-and-machine-learning-platforms/small-business4

spotsaas.com/list/data-science-and-machine-learning-platforms/for-small-business4

eweek.com/artificial-intelligence/machine-learning-solutions3

it-ai-index.com/it-data/ml-platforms/smb3

coincodecap.com/best-no-code-machine-learning-tools2

deepusecase.com/blog/best-machine-learning-platforms-20242

index.dev/skill-vs-skill/ai-sagemaker-vs-azure-ml-vs-google-ai2

learn.g2.com/best-machine-learning-tools2

Pages are listed as the models cited them.

Search and answers

google.dev is not in Google's top ten for any of the category's searches. In the answers, Google Cloud AutoML takes 0% of first choices and Azure Machine Learning takes 21%.

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In search

Google, US estimates

Position for “machine learning platform”

–

not in the top ten

Position for “machine learning platforms”

–

not in the top ten

Organic visits to its site: about 881,346 a month
Searches its site ranks for: 22,650 · 2,977 in the top three
Sites linking to it: 29,239
Paid Google search: No ads found in the estimate; that does not mean it runs none

Ads on GoogleDetailLess

120+ ads · 120 text · 109 shown in the last 30 days

First shown February 2025, as Google LLC, verified. Ads started 2025-10 to 2026-09: 103 in the year, 17 before.

On Google's pages: 1 2 3 4

In answers

This edition

Share of first choices

rank 34 of 107 in ML platforms

Segment leader

21%

Azure Machine Learning

First choices: 0 across its categories
Named in: 6 answers
Its own site cited: in 6 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.

Follow Google Cloud AutoML

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

Google Cloud is the company behind Google Cloud AutoML.

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On record

Company records

Also from Google Cloud: Google 2-Step Verification, Google Alerts, Google AlloyDB for PostgreSQL, Google Analytics, Google Antigravity, Google Artifact Registry, Google AutoML, Google BigQuery ML and 84 more

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 Google Cloud AutoML'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 Google Cloud AutoML, 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 Google Cloud AutoML by email, built from the raw record of the edition. It shows:

where Google Cloud AutoML 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 Google Cloud AutoML, 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.