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AI market share: observed enterprise provider coverage

Compare the share of covered companies naming each AI model provider. Filter the sample, inspect the source evidence, and embed the dated chart.

Initial coverage sample · reviewed (UTC)

Real public-source records, manually reviewed. This is a dated snapshot, not a continuous live feed or a representative market survey.

Share of covered companies

Reviewed 2026-09-10 · 3 distinct companies in the selected model-provider sample.

Each company counts once per provider. Shares can total more than 100% because companies can disclose multiple providers.

Monthly series

MonthCovered companiesComparability
September 20263Initial reviewed snapshot
Earlier monthsUnavailableNo comparable company panel

One point does not establish a trend. Company-size values are not provided by these model-provider disclosures.

Delivery route: not established

The records name providers, but do not establish direct API use versus Azure OpenAI, Bedrock, or Vertex. All 8 records remain unclassified by delivery route; no route split is inferred.

Public-source observations. Observation dates are review dates, not adoption dates.
CompanyVendor / signalIndustry / scopeObserved (UTC)Evidence
Intercomintercom.comOpenAIPresence observedCustomer service softwareAI processingSubprocessor disclosure
Evidence notes

The published subprocessor list names this provider for the stated processing purpose.

Intercomintercom.comAnthropicPresence observedCustomer service softwareAI processingSubprocessor disclosure
Evidence notes

The published subprocessor list names this provider for the stated processing purpose.

Linearlinear.appOpenAIPresence observedDeveloper toolsAI processingSubprocessor disclosure
Evidence notes

The published subprocessor list names this provider for the stated processing purpose.

Linearlinear.appAnthropicPresence observedDeveloper toolsAI processingSubprocessor disclosure
Evidence notes

The published subprocessor list names this provider for the stated processing purpose.

Sentrysentry.ioOpenAIPresence observedDeveloper toolsAI processingSubprocessor disclosure
Evidence notes

The published subprocessor list names this provider for the stated processing purpose.

Sentrysentry.ioAnthropicPresence observedDeveloper toolsAI processingSubprocessor disclosure
Evidence notes

The published subprocessor list names this provider for the stated processing purpose.

Linearlinear.appCoherePresence observedDeveloper toolsArtificial intelligenceSubprocessor disclosure
Evidence notes

The company’s published subprocessor disclosure names this provider for the stated purpose.

Linearlinear.appFireworks AIPresence observedDeveloper toolsArtificial intelligenceSubprocessor disclosure
Evidence notes

The company’s published subprocessor disclosure names this provider for the stated purpose.

Embed the dated chart

This image shows the full published sample, not your current filters. It updates when reviewed data is published.

Open chart image ↗

How observed AI share is calculated

The numerator is the distinct companies naming a provider. The denominator is the distinct companies naming any included model provider in the selected sample. A company can appear in more than one numerator, so shares may total more than 100%.

OpenAI and Anthropic market share

This is an observed-coverage comparison, not a total-market estimate. The small sample was selected for public evidence and is not representative of enterprises as a whole. It does not measure revenue, token volume, seats, or model requests.

Direct vs. indirect deployment

Naming a provider in a disclosure does not prove whether requests use a direct API or a cloud intermediary. We keep unknown delivery routes separate and do not assign Azure OpenAI, Bedrock, or Vertex usage from a generic cloud-provider relationship.

Embedding and monthly updates

The embeddable image carries its review date and denominator. It changes when a new reviewed snapshot is published. The current monthly series has one point; no smooth adoption curve or historical share is inferred.

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What the evidence can tell you

A public job board supports an ATS observation. A subprocessor disclosure identifies a provider that may process data for particular services. A vendor customer story describes a published relationship. These sources have different scopes and are labeled separately.

Counts cover the records on these pages, not the whole market. No observation in our covered sources does not mean a company does not use a vendor. Source recency and unresolved conflicts affect confidence; observations do not establish spend, renewal timing, or customer churn.

Read our methodology · Understand coverage

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