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IT AI Index
Index › Products › Hyper-V · October 2026 Edition
2 categories · Ranked

Hyper-V

31Judge labels
1First choices
4Negative labels
11 / 14Models named it
2Categories
October 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-10.8, every buyer segment counted.
Best standing
2% in Server virtualization for small business buyers
Rank 15 of 78 in the mid-market standingcriticized challenger
0 of 14 models made it the first choice on the direct prompt; 25% of its 12 labels there were negative.
What the models named instead of Hyper-V →
By buyer segmentRead the same way at every buyer size.
In server virtualization · 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 Hyper-V 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 rateLabelsQuadrantSince September 2026
Server virtualization platformsCloud and infrastructure0%15 of 7825%12criticized challenger
Virtual desktopsIT operations and endpoint0%68 of 81100%1under 10 labels · led by Azure Virtual Desktop at 22%

Movement

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

By model

How each model treated Hyper-V across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.
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ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.501012
GPT-5.4 mini01113
Gemini 3.5 Flash00000
Perplexity Sonar01113
Grok 4.1 Fast00000
Mistral Small00000
DeepSeek V4 Flash00000
Llama 4 Maverick00000
Qwen 3.7 Flash00000
Kimi K200000
GLM 4.7 FlashX00011
MiniMax M2.501001
GPT-6 Luna01001
Muse Glimmer 30B02002

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
Direct6 labels1
Paraphrase4 labelsNone
Comparative1 labelNone
Budget-constrained8 labelsNone
Scale-constrained5 labelsNone
Negative7 labelsNone
First choiceAlternativeMentionNegative31 labels in all, every segment counted; 1 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.

“Good if your company is already deep in the Microsoft ecosystem, though Windows licensing can make it less budget-friendly.” GPT-5.4 mini · Server virtualization · budget prompt · alternative
“Best Windows-centered option: Hyper-V - native with Windows Server, good if you already hold Microsoft licences” Muse Glimmer 30B · Server virtualization · scale prompt · alternative
“Hyper-V holds the largest mind share of 19.3%... ideal for Microsoft-centric environments.” Claude Haiku 4.5 · Server virtualization · comparative prompt · alternative
“Hyper-V is the cheapest correct answer, costs whatever Windows Server already costs you” Muse Glimmer 30B · Server virtualization · 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.

“built on a hypervisor (like VMware or Hyper-V) that is not frequently patched, your entire environment is at risk” GLM 4.7 FlashX · Virtual desktops · negative prompt · soft negative
“A 2024 Hyper-V vulnerability (CVE-2024-49117) allowed malicious code from a guest VM to escape to the host” Claude Haiku 4.5 · Server virtualization · negative prompt · soft negative
“you should be cautious if it's tied to an unsupported Windows Server version or an old host build” GPT-5.4 mini · Server virtualization · negative prompt · soft negative
“TechRadar notes limited Linux support and fewer capabilities than some alternatives.” Perplexity Sonar · Server virtualization · negative prompt · soft negative

Named alongside

The products named in the same answers as Hyper-V, over the 31 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Hyper-V was named but was not.
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ProductSame answerTook the first choice insteadHead to head
Proxmox VE26 of 3114Not among the top eight
VMware vSphere20 of 313Not among the top eight
Nutanix AHV12 of 311Not among the top eight
XCP-ng9 of 310Not among the top eight
KVM5 of 311Not among the top eight
VirtualBox4 of 310Not among the top eight
Scale Computing3 of 311Not among the top eight
Red Hat OpenShift Virtualization3 of 310Not among the top eight
Xen3 of 310Not among the top eight
vSphere2 of 311Not 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 Hyper-V. 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 24 of the 31 answers that named Hyper-V and are not a share of its labels.

Search and answers

Where Hyper-V 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
12,100 a month (“hyper-v”)
AI search demand for its name, est.
6,997 a month
Its own site
No site of its own on file, so no site figures

In answers

This edition
Share of first choices
0%
rank 15 of 78 in server virtualization
Segment leader
42%
Proxmox VE
First choices
1 across its categories
Named in
31 answers
Its own site cited
No site on file to match

Search figures are US estimates from DataForSEO, read October 5, 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 Hyper-V

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.

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 Hyper-V'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 Hyper-V, 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 Hyper-V by email, built from the raw record of the edition. It shows:

  • where Hyper-V 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 Hyper-V, 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.
The subscriber app

A verification link goes to your work email; an address at the vendor's own domain is approved on the spot, any other is reviewed by hand. Your email is never published. Claiming gives no say over labels, shares, verdicts or which quotes appear.