IT AI Index
Index Vendors › IBM · September 2026 Edition
4 categories · Ranked

IBM

40Judge labels
0First choices
10Negative labels
12 of 12Models named it
4Categories
September 2026 Edition. Every number here is derived from the raw labels under vendor table vv2026-09.2, every buyer segment counted.
Best standing
0% in Cloud hosting for enterprise buyers
Rank 36 of 78 in the mid-market standing
0 of 12 models made it the first choice on the direct prompt; 33% of its 6 labels there were negative.
By buyer segmentRead the same way at every buyer size.
In cloud hosting · 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 IBM 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.
CategoryFunctionShareRankNegative rateLabelsQuadrant
Cloud hostingCloud and infrastructure0%36 of 7833%6under 10 labels · led by Amazon Web Services at 29%
Identity governanceIdentity and access0%61 of 7750%2under 10 labels · led by Lumos at 20%
Backup and disaster recoveryCloud and infrastructure0%112 of 121100%1under 10 labels · led by Veeam at 18%
ETL and ELTData platform0%41 of 660%1under 10 labels · led by Airbyte at 32%

Movement

This is the first edition on this tier, so no move can be computed for IBM yet. From the next edition this section shows, per buyer segment, whether its share moved by more than the measured noise floor.

By model

How each model treated IBM across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.
ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.500000
GPT-5.4 mini01001
Gemini 3.5 Flash00000
Perplexity Sonar00000
Grok 4.1 Fast00202
Mistral Small00213
DeepSeek V4 Flash01023
Llama 4 Maverick00000
Qwen 3.7 Flash00011
Kimi K200000
GLM 4.7 FlashX00000
MiniMax M2.500000

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
Direct7 labelsNone
Paraphrase3 labelsNone
Comparative15 labelsNone
Budget-constrained1 labelNone
Scale-constrained4 labelsNone
Negative10 labelsNone
First choiceAlternativeMentionNegative40 labels in all, every segment counted; 0 of the 0 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.

“commonly associated with regulated industries, hybrid cloud, and OpenShift-based enterprise environments” GPT-5.4 mini · Cloud hosting · comparative prompt · alternative
“Need hybrid cloud + regulated-industry compliance | IBM Cloud” DeepSeek V4 Flash · Cloud hosting · comparative 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.

“Criticized for poor value compared to competitors” Mistral Small · Cloud hosting · negative prompt · hard negative
“Mid-market companies often find better customer service with established Tier 2 vendors ... compared to giants like IBM or Dell, which may deprioritize your account” Qwen 3.7 Flash · Backup and DR · scale prompt · soft negative
“often cited as poor value in performance/price comparisons” DeepSeek V4 Flash · Cloud hosting · negative prompt · soft negative
“Enterprise IGA (SailPoint, Saviynt, One Identity, IBM)” DeepSeek V4 Flash · IGA · direct prompt · soft negative

Named alongside

The products named in the same answers as IBM, over the 40 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and IBM was named but was not.
ProductSame answerTook the first choice insteadHead to head
Amazon Web Services23 of 4018Not in the top three
Google Cloud22 of 400Not in the top three
Microsoft Azure21 of 402Not in the top three
Oracle Cloud Infrastructure17 of 400Not in the top three
Alibaba Cloud11 of 400Not in the top three
Akamai Connected Cloud8 of 400Not in the top three
DigitalOcean6 of 401Not in the top three
Ping Identity4 of 401Not in the top three
Saviynt Enterprise Identity Cloud4 of 401Not in the top three
OVHcloud4 of 400Not in the top three
A head-to-head page exists where both products are in a category's top three. 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 IBM. A fact about retrieval, not a lever on the model.

Citations exist only for the models that return a source list, four of the twelve in this edition, so these counts come from 34 of the 40 answers that named IBM and are not a share of its labels.

Names read as IBM

What the judge wrote, as written, with how often. The vendor table decides that these count as IBM; a claim can dispute any of them.
IBM Cloud 6
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 IBM'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 IBM, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.

It does not get any change to labels, shares or verdicts, any preview, or any say over which quotes appear. A verification link goes to your work email; an address at ibm.com is approved on the spot, any other address is reviewed by hand.

Your name and company appear on the claimed page, or the company alone if you ask below. A title and a LinkedIn address appear there too if you give them, and are left off if you do not. Your email address is never published.