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cloud-hosting

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Tabular Classification
Modalities:
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Languages:
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Size:
10K - 100K
Tags:
cloud-computing
cdn
web-technologies
technographics
technology-adoption
infrastructure
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Add cloud, hosting and CDN detection for 21,325 large organizations
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metadata 
pretty_name: Cloud and CDN Adoption Among Large Organizations
license: cc-by-4.0
tags:
  - cloud-computing
  - cdn
  - web-technologies
  - technographics
  - technology-adoption
  - infrastructure
  - company-data
  - business
  - websites
task_categories:
  - tabular-classification
language:
  - en
size_categories:
  - 10K<n<100K
dataset_info:
  features:
    - name: Popularity Rank
      dtype: int64
    - name: Domain
      dtype: string
    - name: Company Name
      dtype: string
    - name: Company Size
      dtype: string
    - name: Year Founded
      dtype: float64
    - name: Industry
      dtype: string
    - name: Locality
      dtype: string
    - name: Country
      dtype: string
    - name: TLD
      dtype: string
    - name: AWS
      dtype: string
    - name: Azure
      dtype: string
    - name: Google Cloud
      dtype: string
    - name: Alibaba Cloud
      dtype: string
    - name: IBM Cloud
      dtype: string
    - name: Huawei Cloud
      dtype: string
    - name: Tencent Cloud
      dtype: string
    - name: OVH
      dtype: string
    - name: DigitalOcean
      dtype: string
    - name: Linode
      dtype: string
    - name: Hetzner
      dtype: string
    - name: Rackspace
      dtype: string
    - name: Cloudflare
      dtype: string
    - name: Amazon CloudFront
      dtype: string
    - name: Fastly
      dtype: string
    - name: Akamai
      dtype: string
    - name: Amazon S3
      dtype: string
    - name: Vercel
      dtype: string
    - name: Netlify
      dtype: string
    - name: Provider Count
      dtype: int64
  splits:
    - name: train
      num_examples: 21325

Cloud and CDN Adoption Among Large Organizations

Overview

This dataset records which cloud, hosting and CDN providers were detected on the websites of 21,325 large organizations, with firmographic context for each: industry, employee band, country, locality and founding year.

Nineteen providers are covered, each as its own column, because organizations commonly use several at once. 3,259 of them show more than one.

Collected in August 2026. Infrastructure changes, so treat the data as a snapshot of that month rather than a current state.

Providers Covered

Provider Organizations Type
Cloudflare 12,634 CDN and edge
AWS 3,080 Cloud
Azure 1,790 Cloud
Amazon CloudFront 1,621 CDN
Akamai 1,528 CDN
Fastly 804 CDN
OVH 775 Cloud and hosting
Google Cloud 549 Cloud
Amazon S3 457 Storage and delivery
Vercel 446 PaaS
DigitalOcean 429 Cloud and hosting
IBM Cloud 296 Cloud
Rackspace 184 Cloud and hosting
Netlify 138 PaaS
Alibaba Cloud 103 Cloud
Huawei Cloud 71 Cloud
Linode 49 Cloud and hosting
Hetzner 39 Cloud and hosting
Tencent Cloud 1 Cloud

What the Data Shows

Cloudflare sits in front of 59.2% of these organizations, more than every other provider combined. 10,403 show Cloudflare and nothing else, which usually means the origin behind it could not be identified rather than that no other provider is in use.

The most common combinations:

Combination Organizations
Azure + Cloudflare 604
AWS + Cloudflare 409
AWS + Amazon CloudFront 377
Amazon CloudFront + Cloudflare 317
Amazon CloudFront + Amazon S3 296
Cloudflare + Fastly 208
Akamai + Cloudflare 176

Azure appearing alongside Cloudflare more often than AWS does is the reverse of the global picture, where AWS is detected on far more sites.

Among organizations showing one of the two, Azure's share varies more by country than any other split in the data:

Country AWS Azure Azure share
Brazil 75 146 66.1%
Australia 64 74 53.6%
Canada 90 72 44.4%
United Kingdom 182 119 39.5%
United States 1,514 569 27.3%
India 219 38 14.8%

Regional providers matter more than their totals suggest. Among the 409 organizations based in China, Alibaba Cloud is the leading cloud at 20.8%, ahead of AWS at 10.3%, and Huawei Cloud reaches 11.0%. Azure and Google Cloud reach 2.2% and 2.0% respectively. 32.0% of Chinese organizations use at least one domestic provider. This concentration is why the three are kept as separate columns: 85 of Alibaba Cloud's 103 organizations and 45 of Huawei Cloud's 71 are in China.

By sector, Akamai is the clearest signal. It reaches 206 organizations in retail and 104 in financial services, placing second in both, while barely registering elsewhere.

Dataset Fields

Cloud-Hosting.csv, 21,325 rows, 29 columns. Coverage is the share of rows where the field is populated.

Column Type Coverage Description
Popularity Rank int64 94.8% Website popularity rank, lower being more popular. Rows are stored in ascending rank order
Domain string 100.0% Primary website domain. Unique across the file
Company Name string 100.0% Organization name, lowercased at source
Company Size string 100.0% Employee band. Two values: 5001-10000 and 10001+
Year Founded float64 70.9% Founding year
Industry string 99.2% Industry label
Locality string 80.7% City or region, where available
Country string 100.0% Organization or website country
TLD string 100.0% Top-level domain
AWS string 100.0% yes or no. Detected on 3,080 organizations
Azure string 100.0% yes or no. Detected on 1,790 organizations
Google Cloud string 100.0% yes or no. Detected on 549 organizations
Alibaba Cloud string 100.0% yes or no. Detected on 103 organizations
IBM Cloud string 100.0% yes or no. Detected on 296 organizations
Huawei Cloud string 100.0% yes or no. Detected on 71 organizations
Tencent Cloud string 100.0% yes or no. Detected on 1 organizations
OVH string 100.0% yes or no. Detected on 775 organizations
DigitalOcean string 100.0% yes or no. Detected on 429 organizations
Linode string 100.0% yes or no. Detected on 49 organizations
Hetzner string 100.0% yes or no. Detected on 39 organizations
Rackspace string 100.0% yes or no. Detected on 184 organizations
Cloudflare string 100.0% yes or no. Detected on 12,634 organizations
Amazon CloudFront string 100.0% yes or no. Detected on 1,621 organizations
Fastly string 100.0% yes or no. Detected on 804 organizations
Akamai string 100.0% yes or no. Detected on 1,528 organizations
Amazon S3 string 100.0% yes or no. Detected on 457 organizations
Vercel string 100.0% yes or no. Detected on 446 organizations
Netlify string 100.0% yes or no. Detected on 138 organizations
Provider Count int64 100.0% How many of the 19 providers were detected on this organization

Methodology

Websites were analyzed in August 2026 for technical fingerprints associated with each provider. An organization is included when at least one of the nineteen providers was detected on its primary domain.

The population is organizations with 5,001 or more employees for which company information could be resolved.

Important Notes

  • Each provider column is a floor, not a share. It counts organizations where that provider's fingerprints were found. Detection strength differs between providers, so dividing one column by another does not give market share and should not be reported as such.
  • Detection favours providers that identify themselves in headers, DNS or asset URLs. A provider used purely for internal systems, or fronted by a CDN, may not appear at all.
  • Only the primary domain was analyzed. Organizations of this size run many domains, and a single marketing site is a weak proxy for the infrastructure behind the business.
  • Provider counts are not exclusive. An organization behind Cloudflare with assets on CloudFront and an origin on Azure counts in all three columns, which is the intended behaviour.
  • A row showing only Cloudflare usually means the origin was hidden, not that no cloud is in use. Treat Cloudflare-only rows as unknown origin rather than as an absence.
  • Hetzner and Linode appear on fewer than 50 organizations each. They are kept as columns for completeness, not because the counts support analysis.
  • Alibaba Cloud, Huawei Cloud and Tencent Cloud are kept as separate columns despite low global counts, because they are regionally concentrated and folding them together would remove the only view of the Chinese market in this data.
  • Results represent observations made in August 2026.

Use Cases

  • Cloud and CDN concentration analysis
  • Vendor and supply chain risk research
  • Competitive and market research
  • Technographic segmentation
  • Data science and machine learning

Citation

If you use this dataset, please credit StackScan and link to the source page.

Plain text:

StackScan. (2026). Cloud and CDN Adoption Among Large Organizations (data collected August 2026) [Data set]. StackScan. https://www.stackscan.com/browse

BibTeX:

@misc{stackscan_cloud_hosting_2026,
  author       = {{StackScan}},
  title        = {Cloud and CDN Adoption Among Large Organizations},
  year         = {2026},
  month        = {aug},
  publisher    = {StackScan},
  howpublished = {\url{https://www.stackscan.com/browse}},
  note         = {Data collected August 2026. Dataset: \url{https://huggingface.co/datasets/stackscan/cloud-hosting}}
}

Related

stackscan/email-authentication and stackscan/lets-encrypt use the same population definition and collection period, so all three can be joined on Domain.

Access to More Data

The files in this repository are CC BY 4.0 and free for anyone to use, including commercially. No request or permission is needed.

StackScan also provides free access to larger and custom datasets for data journalists, academic researchers, non-profits and other organizations working on non-commercial projects. Ask through stackscan.com.

License

Released under Creative Commons Attribution 4.0 International (CC BY 4.0). You are free to share and adapt the data, including commercially, provided you give appropriate credit.

Attribution must name StackScan and link to the source page:

Data from StackScan, licensed under CC BY 4.0.

For academic or published work, use the citation above.