CoolFace
Datasetpublic

stackscan/cloud-hosting

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… See the full description on the dataset page: https://huggingface.co/datasets/stackscan/cloud-hosting.

sourceHugging Facecc-by-4.0updated 1mo agoView on Hugging Face
1likes20downloads
Dataset Card

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

ProviderOrganizationsType
Cloudflare12,634CDN and edge
AWS3,080Cloud
Azure1,790Cloud
Amazon CloudFront1,621CDN
Akamai1,528CDN
Fastly804CDN
OVH775Cloud and hosting
Google Cloud549Cloud
Amazon S3457Storage and delivery
Vercel446PaaS
DigitalOcean429Cloud and hosting
IBM Cloud296Cloud
Rackspace184Cloud and hosting
Netlify138PaaS
Alibaba Cloud103Cloud
Huawei Cloud71Cloud
Linode49Cloud and hosting
Hetzner39Cloud and hosting
Tencent Cloud1Cloud

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:

CombinationOrganizations
Azure + Cloudflare604
AWS + Cloudflare409
AWS + Amazon CloudFront377
Amazon CloudFront + Cloudflare317
Amazon CloudFront + Amazon S3296
Cloudflare + Fastly208
Akamai + Cloudflare176

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:

CountryAWSAzureAzure share
Brazil7514666.1%
Australia647453.6%
Canada907244.4%
United Kingdom18211939.5%
United States1,51456927.3%
India2193814.8%

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.

ColumnTypeCoverageDescription
Popularity Rankint6494.8%Website popularity rank, lower being more popular. Rows are stored in ascending rank order
Domainstring100.0%Primary website domain. Unique across the file
Company Namestring100.0%Organization name, lowercased at source
Company Sizestring100.0%Employee band. Two values: 5001-10000 and 10001+
Year Foundedfloat6470.9%Founding year
Industrystring99.2%Industry label
Localitystring80.7%City or region, where available
Countrystring100.0%Organization or website country
TLDstring100.0%Top-level domain
AWSstring100.0%yes or no. Detected on 3,080 organizations
Azurestring100.0%yes or no. Detected on 1,790 organizations
Google Cloudstring100.0%yes or no. Detected on 549 organizations
Alibaba Cloudstring100.0%yes or no. Detected on 103 organizations
IBM Cloudstring100.0%yes or no. Detected on 296 organizations
Huawei Cloudstring100.0%yes or no. Detected on 71 organizations
Tencent Cloudstring100.0%yes or no. Detected on 1 organizations
OVHstring100.0%yes or no. Detected on 775 organizations
DigitalOceanstring100.0%yes or no. Detected on 429 organizations
Linodestring100.0%yes or no. Detected on 49 organizations
Hetznerstring100.0%yes or no. Detected on 39 organizations
Rackspacestring100.0%yes or no. Detected on 184 organizations
Cloudflarestring100.0%yes or no. Detected on 12,634 organizations
Amazon CloudFrontstring100.0%yes or no. Detected on 1,621 organizations
Fastlystring100.0%yes or no. Detected on 804 organizations
Akamaistring100.0%yes or no. Detected on 1,528 organizations
Amazon S3string100.0%yes or no. Detected on 457 organizations
Vercelstring100.0%yes or no. Detected on 446 organizations
Netlifystring100.0%yes or no. Detected on 138 organizations
Provider Countint64100.0%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:

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.