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OpenCV VS TensorFlow_

As of 4 November 2026, TensorFlow is named by 4,387 companies and OpenCV by 812; OpenCV skews to companies under 200 people (53% vs 51%), TensorFlow to companies over 1,000 (26% vs 26%).

As of 4 November 2026 · refreshed daily · counts move as websites, DNS and career sites are re-read.

The website-and-DNS footprint is not comparable between a marketing suite and a CRM: OpenCV's script and mail records show on hundreds of thousands of small sites, TensorFlow rarely leaves a trace outside its own apps. Compare on the job-posting numbers; use the footprint for reach.

OpenCV: 2–200 employees
53%
TensorFlow: 2–200 employees
51%
OpenCV: 1,000+ employees
26%
TensorFlow: 1,000+ employees
26%
Postings per company, 90 days
2.0 · 2.7
Website or DNS footprint
0 · 0
812companies name OpenCV
4,387companies name TensorFlow
516name both
1,586 · 12,007postings in 90 days, OpenCV · TensorFlow
02 — Side by side

Who chooses which

Share of each tool's companies in every segment. "Leans" marks a gap of more than two points.

By company size
SegmentOpenCVshareTensorFlowshareLeans
Self-employed314%2055%even
2-10 employees10613%62814%even
11-50 employees16320%83519%even
51-200 employees15920%79618%even
201-500 employees8711%46411%even
501-1000 employees547%3328%even
1001-5000 employees9211%50311%even
5001-10000 employees304%1594%even
10,001+ employees9011%46511%even
By industry
SegmentOpenCVshareTensorFlowshareLeans
Manufacturing & industry29536%53612%OpenCV
Technology & software29136%2,22051%TensorFlow
Business & finance services8110%74817%TensorFlow
Consumer services & leisure364%1694%even
Public, community & associations314%1533%even
Automotive182%561%even
Media & content172%1674%even
Commerce & trade142%882%even
Health care111%581%even
Utilities & infrastructure91%842%even
Property & construction51%411%even
Transport, logistics & rental30%411%even
By country
SegmentOpenCVshareTensorFlowshareLeans
United States43954%2,55658%TensorFlow
Germany638%1964%OpenCV
United Kingdom486%2566%even
India415%2255%even
France304%1193%even
Canada142%1133%even
Italy132%441%even
Singapore132%441%even
Australia121%511%even
Spain121%561%even
Switzerland101%––outside top 12
Netherlands101%551%even
Sweden––501%outside top 12
Postings by team (share of each tool's postings)
SegmentOpenCVshareTensorFlowshareLeans
Data & AI94145%11,54570%TensorFlow
Software engineering43621%1,61110%OpenCV
Engineering (non-software)1658%3712%OpenCV
Unclassified613%1191%OpenCV
Design & UX261%300%even
research and science231%2371%even
Product, program & project management151%991%even
Sales141%1401%even
IT operations & business systems100%2842%even
arts media and entertainment80%80%even
Administration & office70%60%even
Education & training40%510%even
General management & consulting40%961%even
Customer service & success30%250%even
Marketing & communications30%150%even
skilled trades and field service30%40%even
Finance & accounting20%530%even
manufacturing and production20%20%even
agriculture and environment10%30%even
construction and civil10%20%even
healthcare clinical10%60%even
hospitality and food service10%20%even
public safety and protective services10%10%even
Quality, safety & environment10%110%even
Legal, compliance & risk––390%outside top 12
Business development & strategy––120%outside top 12
logistics warehouse and transport––100%outside top 12
Human resources––90%outside top 12
real estate and property––20%outside top 12
facilities cleaning and security––10%outside top 12
Go deeper

The companies behind each column

Companies using OpenCV →
Companies using TensorFlow →
ml frameworks ranked →

Cite this

Quote the sentence with the date and the link. The numbers change daily; the link always shows the current ones.

TensorFlow is named by 4,387 companies in job postings and OpenCV by 812; 516 name both. (Breaknorm, 4 November 2026, https://breaknorm.co/compare/opencv-vs-tensorflow)
How we know

Read from the source, not self-reported

Every number on this page can be traced to a page we crawled or a posting we read. Full methodology →

  • Job postingsRead hourly from career sites. A tool counts when the employer's own text names it as the team's system; both tools can count for one company.
  • Website and DNSScripts and embeds on the company's pages, plus SPF, DKIM, MX and CNAME records of its domain that point at the vendor.
  • SegmentsCountry, size and industry from the company profile built from its website.
  • Not a reviewNo ratings, prices or feature claims. For those, read the vendors.
FAQ

OpenCV vs TensorFlow: questions

Which is more used, OpenCV or TensorFlow?

By companies naming it in their own job postings, TensorFlow (4,387) over OpenCV (812). By website-and-DNS footprint, TensorFlow (0 vs 0), because its scripts and mail records sit on many small company sites.

Who chooses OpenCV?

53% of OpenCV companies have 2 to 200 employees, against 51% for TensorFlow. 26% of OpenCV companies have over 1,000 employees, against 26% for TensorFlow.

Do companies run both?

516 companies name both in their postings, usually OpenCV in marketing and TensorFlow in sales, or during a migration.

Where do these numbers come from?

From the employer's own text in job postings read hourly from career sites, and from scripts found on company websites in our crawl. No vendor data, no surveys.

Companies and people

Get either list your way

The same data as a search, over MCP and the API, as bulk files, or pushed to you as it changes.

SearchCompany searchFilter on what a company actually does→SearchPeople searchDecision makers, normalized and verified→MCP and APICompanies over MCP and APICount, search and export from your agent→DatasetCompany and People datasetThe whole market in your warehouse→DataCoverage by countryCheck your market before you start→SearchLocal businessesThe same database, by category and city→

Every company on either tool,
with the person who owns it

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