Is n8n Dead? What Docker Pulls and Market Data Show in 2026
Who this is forContent creators, developers, and automation builders who see falling n8n video views and want to know whether the tool itself is losing relevance.
Introduction
Some people have started asking whether n8n, the open-source workflow automation tool, is dying. The signal behind the question is easy to see: n8n tutorial videos on YouTube are getting very few views. Those two observations are not the same thing. A product can grow while the market for explaining it shrinks. This article looks at the numbers behind n8n’s usage, valuation, and market position, and explains why tutorial demand can fall even when the tool itself keeps gaining ground. You will get a clear view of the evidence and a practical takeaway for anyone who creates content about automation tools.
Key Data
Company Metrics
| Metric | Value |
|---|---|
| ARR | ~$40M (as of July 2025) |
| Valuation | $2.5B (October 2025, led by Accel) |
| Investors | Accel, NVentures (Nvidia) |
| Active users | 230,000+ |
| Paying business customers | 3,000+ (average ~$13,300 per year) |
| Workflow automation market share | 5.02% |
Installation and Downloads (measured April 5, 2026)
| Channel | Value |
|---|---|
| Docker pulls (n8nio/n8n) | 199,717,638 (~200 million) |
| GitHub Stars | 182,400+ |
| npm weekly downloads | ~7,500 (mostly installed via Docker) |
The Docker figure is the most direct installation signal. The npm number is small by comparison, which suggests most users run n8n as a container rather than installing it as a Node package.
Docker Pulls Comparison (measured at the same time)
| Project | Docker Pulls | Category |
|---|---|---|
| Grafana | 5.18 billion | Monitoring |
| Portainer | 2.97 billion | Container management |
| MinIO | 1.79 billion | Object storage |
| Airflow | 1.58 billion | Workflow orchestration |
| Hasura | 700 million | GraphQL engine |
| Gitea | 370 million | Git hosting |
| Metabase | 250 million | BI and data visualization |
| n8n | 200 million | Workflow automation |
| Uptime Kuma | 150 million | Monitoring |
| NocoDB | 19 million | No-code database |
| Appwrite | 10 million | BaaS |
Measured against infrastructure tools that engineers run in production, n8n sits in the same tier as established products like Metabase and Gitea. That context matters: a tool with this install base is not a niche experiment.
Market Positioning
| Tool | Position | Strength |
|---|---|---|
| Zapier | Premium, ease of use first | 8,000+ apps, best UX |
| Make | Middle ground: power and accessibility | Value for money, visual editor |
| n8n | Developers and technical teams, self-hosting | Flexibility, data sovereignty, AI workflows |
Each tool targets a different buyer. Zapier competes on breadth and polish, Make on value with a visual builder, and n8n on control. Those are distinct reasons to choose a product, so n8n’s position is not a weaker version of Zapier.
Insights
Why n8n Is Still Growing
- Self-hosting and data sovereignty. This is a key reason in regulated industries such as finance and healthcare.
- A hub for AI workflows. n8n is strong at building AI pipelines, including LLM chaining and vector database integration.
- Cost structure. At the enterprise level, one analysis reports roughly 60% savings compared with Zapier.
Why YouTube Views Are Falling
- Tutorial saturation. Supply of tutorials exceeds demand.
- Saturation across AI automation content. Creators are widely using AI workflows, with 83% of creators reporting such use.
- Interest shifts from the tool to the output. Viewers now care about what gets built with a tool, not the tool itself.
- The official n8n channels absorb content. The n8n team publishes 900+ templates.
- In Korea, attention has moved to newer keywords such as Claude Code and Cursor.
What This Means for Product Adoption
In the transition from the Early Majority to the Late Majority, growth is driven less by YouTube tutorials and more by enterprise sales, partnerships, and official documentation. Adoption at this stage happens through people who already know the tool and look for reference material, not beginners searching for an introduction. That explains why view counts fall while usage keeps rising.
Draft Posts
LinkedIn Version
n8n Docker downloads: 200 million. But n8n videos on YouTube are getting almost no views.
Someone said “Isn’t n8n dead?” so I checked the data directly.
Querying the Docker Hub API, n8n has 200 million pulls. Using the same method, Metabase, the BI leader, has 250 million. GitHub stars are 182,000, the valuation is $2.5B, and Nvidia invested.
The reason YouTube views are low is simple. The “n8n tutorial” content category has become saturated.
Looking at the product adoption curve: In the early stage, people ask “What is this?” and YouTube search explodes. In the mature stage, people think “We already use it” and go straight to documentation or communities.
The tool is not dead. The content demand curve for the tool has bent.
For anyone who makes AI education content, this matters a lot. Before asking “Which tool should I cover?”, check “Where is this tool in its content lifecycle?”
#n8n #workflowautomation #AIeducation #contentstrategy
Threads Version
Fact-checking the claim “n8n is dead” with data.
Docker downloads: 200 million (roughly the same level as Metabase) GitHub stars: 182,000, valuation $2.5B
It is not dead. The “n8n tutorial” content category is saturated. The tool is growing, but the content demand curve has bent.
When making AI content, check the content lifecycle before choosing the tool.
#n8n #contentstrategy
Sources
- https://6sense.com/tech/workflow-automation/n8n-market-share
- https://trigidigital.com/blog/n8n-enterprise-use-cases-2026/
- https://flowlyn.com/blog/n8n-user-count-statistics-growth
- https://sacra.com/c/n8n/
- https://www.digidop.com/blog/n8n-vs-make-vs-zapier
- https://hub.docker.com/r/n8nio/n8n (Docker Hub API queried directly)
- https://community.n8n.io/t/150-000-stars-on-github/208779
Bottom line
n8n is not dying. Its Docker pulls (about 200 million), GitHub stars (182,400+), and $2.5B valuation all point to a product that is still growing and is used at a scale comparable to established infrastructure tools. What has declined is demand for beginner tutorial content, which has saturated and been partly absorbed by the n8n team’s own templates. For anyone making automation content, the useful question is not whether a tool is still relevant, but where that tool sits in its content lifecycle.
Frequently asked questions
- Is n8n dying or losing users?
- The data does not show decline. n8n reports roughly 200 million Docker pulls, 182,400+ GitHub stars, and a $2.5B valuation as of October 2025. The drop is in tutorial content demand, not in the product.
- Why do n8n tutorial videos get low views on YouTube?
- The n8n tutorial category has saturated: supply exceeds demand, AI automation content is crowded, and the n8n team's own channels absorb much of the material with 900+ templates. Interest has moved from the tool to results built with it.
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