We detected 2,408 customers using Docker, 174 companies that churned or ended their trial, and 165 customers with estimated renewals in the next 3 months. The most common industry is Software Development (23%) and the most common company size is 1,001-5,000 employees (25%). Our methodology involves monitoring new entries and modifications to company DNS records.
Note: We can only detect Docker Business customers or higher priced plans
About Docker
Docker provides an enterprise-grade container platform for medium and large businesses that simplifies security, compliance, collaboration, and management at scale with features like centralized policy control, single sign-on, enhanced container isolation, and visibility into user adoption and container usage.
📊 Who in an organization decides to buy or use Docker?
Source: Analysis of 100 job postings that mention Docker
Job titles that mention Docker
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Based on an analysis of job titles from postings that mention Docker.
Job Title
Share
Director of Engineering
20%
Vice President of Engineering
14%
Head of Engineering
9%
Senior Director of Engineering
7%
I noticed that Docker purchasing decisions are concentrated among senior engineering leadership, with Directors of Engineering (20%), VPs of Engineering (14%), and Heads of Engineering (9%) comprising nearly half of the leadership roles. These buyers are focused on cloud migration, platform modernization, and DevOps transformation. They're hiring for expertise in containerization, Kubernetes orchestration, CI/CD pipeline automation, and multi-cloud infrastructure across AWS, Azure, and GCP.
The day-to-day Docker users are predominantly backend engineers, DevOps engineers, full-stack developers, and site reliability engineers. These practitioners use Docker to containerize applications, build microservices architectures, create reproducible development environments, and automate deployment pipelines. I found they're working with Docker alongside tools like Kubernetes, Jenkins, Terraform, and cloud-native platforms to deliver scalable, reliable software systems.
The pain points reveal a strong push toward modernization and operational excellence. Companies describe needs like "migrating legacy infrastructure" and "modernizing SQL deployment patterns using Kubernetes, Helm Charts, Jenkins, and OpenShift." They want to "build scalable, reliable, maintainable, high-performing web applications" and achieve "high availability, reliability, and performance." One posting emphasized "building the most trusted and innovative knowledge-sharing platform," while another focused on "ensuring the reliability, scalability, and performance" of healthcare automation platforms. The recurring theme is transforming traditional infrastructure into cloud-native, containerized systems that can scale efficiently.
🔧 What other technologies do Docker customers also use?
Source: Analysis of tech stacks from 2,408 companies that use Docker
Commonly Paired Technologies
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Shows how much more likely Docker customers are to use each tool compared to the general population. For example, 287x means customers are 287 times more likely to use that tool.
I noticed that companies using Docker are highly collaborative, design-forward technology organizations that have moved beyond scrappy startup mode into structured scaling. The presence of premium collaboration tools like Figma Organization Plan, Miro, and Lucidchart tells me these are companies investing in cross-functional alignment, likely with distributed engineering teams that need to document architecture and maintain shared understanding of complex systems.
The pairing of Docker with Golinks is particularly revealing. Companies using internal short links have reached a scale where knowledge management becomes critical. They're building enough internal tooling and documentation that engineers need quick ways to reference deployment guides, runbooks, and architecture diagrams. Meanwhile, Docker Hub appearing 186 times more often makes perfect sense as the natural registry for container images, but it also suggests these companies are mature enough to need private repositories and team management features. The UserTesting correlation, despite fewer companies, is fascinating because it shows these aren't just infrastructure-focused shops. They're building customer-facing products and investing heavily in user research, suggesting a product-led growth mindset.
The full stack reveals product-led companies in growth stage, likely Series B and beyond. They've achieved product-market fit and are now scaling their engineering operations while maintaining design quality and user focus. These aren't sales-led enterprise companies that would show different tooling patterns. Instead, they're developer-centric organizations that prioritize shipping quickly, iterating based on user feedback, and maintaining strong internal collaboration practices.
👥 What types of companies is most likely to use Docker?
Source: Analysis of Linkedin bios of 2,408 companies that use Docker
Company Characteristics
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Shows how much more likely Docker customers are to have each trait compared to all companies. For example, 2.0x means customers are twice as likely to have that characteristic.
Trait
Likelihood
Industry: Computer Games
10.8x
Company Size: 5,001-10,000
8.2x
Funding Stage: Series unknown
8.0x
Company Size: 10,001+
7.3x
Company Size: 1,001-5,000
6.5x
Industry: Insurance
5.1x
I noticed that Docker users span an incredibly diverse range of industries, but they share a common thread: they're building complex technology infrastructure. These aren't simple businesses. They're financial services platforms processing millions of transactions, biotechnology companies accelerating drug development with AI, telecommunications operators managing wireless networks, and software companies delivering cloud-based solutions at scale. Many are building platforms that other businesses depend on, whether that's payment orchestration, cybersecurity protection, or enterprise resource planning systems.
The maturity spectrum is wide but skews toward established players. I see numerous public companies and late-stage private firms with Series C, D, or private equity backing. Employee counts often range from 200 to several thousand, suggesting organizations past the startup phase but still growing aggressively. However, there are also Series A and B companies mixed in, particularly in biotech and cybersecurity. The common factor isn't age but ambition and technical complexity.
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