n8n holds 0.42% of SaaS market share by adoption (#33 overall); Make holds 0.34% (#42), and has held its rank over the last 12 months.
Monthly market share by adoption and by spend, full history. Share is each product's percentage of all SaaS purchasing activity tracked in the dataset that month.
| Month | n8n adoption share | Make adoption share | n8n spend share | Make spend share |
|---|---|---|---|---|
| Sep-2022 | 0.02% | 0.22% | 0.00% | 0.06% |
| Oct-2022 | 0.02% | 0.21% | 0.00% | 0.06% |
| Nov-2022 | 0.01% | 0.21% | 0.00% | 0.06% |
| Dec-2022 | 0.01% | 0.22% | 0.00% | 0.06% |
| Jan-2023 | 0.01% | 0.22% | 0.00% | 0.06% |
| Feb-2023 | 0.01% | 0.24% | 0.00% | 0.06% |
| Mar-2023 | 0.01% | 0.25% | 0.00% | 0.06% |
| Apr-2023 | 0.01% | 0.26% | 0.00% | 0.07% |
| May-2023 | 0.01% | 0.27% | 0.00% | 0.07% |
| Jun-2023 | 0.01% | 0.28% | 0.00% | 0.07% |
| Jul-2023 | 0.01% | 0.29% | 0.00% | 0.07% |
| Aug-2023 | 0.01% | 0.29% | 0.00% | 0.07% |
| Sep-2023 | 0.01% | 0.27% | 0.00% | 0.07% |
| Oct-2023 | 0.01% | 0.28% | 0.00% | 0.07% |
| Nov-2023 | 0.01% | 0.29% | 0.00% | 0.07% |
| Dec-2023 | 0.02% | 0.30% | 0.00% | 0.08% |
| Jan-2024 | 0.02% | 0.30% | 0.00% | 0.08% |
| Feb-2024 | 0.02% | 0.30% | 0.00% | 0.08% |
| Mar-2024 | 0.03% | 0.29% | 0.00% | 0.07% |
| Apr-2024 | 0.03% | 0.28% | 0.00% | 0.08% |
| May-2024 | 0.03% | 0.28% | 0.00% | 0.07% |
| Jun-2024 | 0.03% | 0.28% | 0.00% | 0.07% |
| Jul-2024 | 0.03% | 0.29% | 0.00% | 0.08% |
| Aug-2024 | 0.03% | 0.30% | 0.00% | 0.08% |
| Sep-2024 | 0.03% | 0.30% | 0.00% | 0.08% |
| Oct-2024 | 0.03% | 0.31% | 0.00% | 0.08% |
| Nov-2024 | 0.03% | 0.31% | 0.00% | 0.08% |
| Dec-2024 | 0.03% | 0.30% | 0.00% | 0.08% |
| Jan-2025 | 0.03% | 0.31% | 0.00% | 0.08% |
| Feb-2025 | 0.03% | 0.31% | 0.00% | 0.08% |
| Mar-2025 | 0.04% | 0.32% | 0.01% | 0.08% |
| Apr-2025 | 0.05% | 0.33% | 0.01% | 0.08% |
| May-2025 | 0.06% | 0.34% | 0.01% | 0.08% |
| Jun-2025 | 0.08% | 0.35% | 0.01% | 0.08% |
| Jul-2025 | 0.11% | 0.36% | 0.02% | 0.08% |
| Aug-2025 | 0.13% | 0.37% | 0.03% | 0.08% |
| Sep-2025 | 0.16% | 0.37% | 0.04% | 0.08% |
| Oct-2025 | 0.19% | 0.37% | 0.05% | 0.08% |
| Nov-2025 | 0.23% | 0.40% | 0.06% | 0.08% |
| Dec-2025 | 0.25% | 0.40% | 0.07% | 0.08% |
| Jan-2026 | 0.28% | 0.40% | 0.08% | 0.08% |
| Feb-2026 | 0.31% | 0.40% | 0.09% | 0.07% |
| Mar-2026 | 0.33% | 0.38% | 0.10% | 0.07% |
| Apr-2026 | 0.36% | 0.37% | 0.11% | 0.07% |
| May-2026 | 0.38% | 0.36% | 0.12% | 0.07% |
| Jun-2026 | 0.40% | 0.35% | 0.13% | 0.06% |
| Jul-2026 | 0.41% | 0.34% | 0.14% | 0.06% |
| Aug-2026 | 0.42% | 0.34% | 0.14% | 0.06% |
| Aug-2022 | — | 0.20% | — | 0.06% |
| Product | Rank by adoption | Rank by spend | Adoption share | Spend share | 12-mo rank change |
|---|---|---|---|---|---|
| n8n | #33 | #99 | 0.42% | 0.14% | — |
| Make | #42 | #229 | 0.34% | 0.06% | — |
n8n ranks higher by adoption (#33) than by spend (#99) — it is widely adopted at a comparatively low price point.
Make ranks higher by adoption (#42) than by spend (#229) — it is widely adopted at a comparatively low price point.
23.3% of companies paying for Make also pay for n8n.
Overlap is measured on companies with active paid subscriptions to both products — a high overlap means the two tools are often complements rather than strict substitutes.
| Tool | Category | Overlap with companies paying for n8n |
|---|---|---|
| OpenAI | AI Platforms & Model Ops | 94.4% |
| Anthropic | AI Platforms & Model Ops | 90.0% |
| Figma | Marketing & Growth | 81.9% |
| Adobe | Marketing & Growth | 78.8% |
| People Ops & Talent | 78.1% |
| Tool | Category | Overlap with companies paying for Make |
|---|---|---|
| OpenAI | AI Platforms & Model Ops | 84.3% |
| Figma | Marketing & Growth | 79.2% |
| Adobe | Marketing & Growth | 73.0% |
| People Ops & Talent | 72.3% | |
| Slack | Collaboration & Productivity | 71.7% |
n8n has the clearer adoption lead as of August 2026, ranking #33 overall compared with Make at #42. Their adoption ranks have moved at the same pace over the past year. By spend, n8n ranks higher (#99 versus #229), which shows where more of the measured software budget currently sits. The overlap data also shows that this is not always an either-or decision; some companies pay for both products. The practical takeaway is to separate market position from product fit: the rankings show which tool is more established and where buying momentum is moving, but they do not measure features, price, or quality. Use those signals to build a shortlist, then decide against your own workflows and requirements.
n8n: n8n is a workflow automation tool that utilizes a node-based architecture and supports low-code development, catering to users with varying levels of technical expertise for the creation of workflows. It features a user-friendly interface, over 220 pre-built integrations, and the ability to connect
Make: Make is an automation software that allows users to connect apps and design workflows. It is a visual platform that can be used to build and automate various tasks, workflows, apps, and systems. The product aims to solve the problem of limited workflow automation in traditional no-code integration a
| Product | Category | Subcategory | Primary team | AI classification |
|---|---|---|---|---|
| n8n | Engineering & DevOps | Automation | IT / Ops | AI-Embedded |
| Make | Engineering & DevOps | Automation | IT / Ops | AI-Embedded |
n8n is more widely adopted in this data as of August 2026. It ranks #33 overall, while Make ranks #42. This measures observed software adoption, not product quality or suitability for a particular company.
n8n has held its rank over the last 12 months, while Make held its rank. This is a change in relative adoption rank; it does not prove that companies are leaving one product for the other.
Yes. In the measured data, 23.3% of companies paying for Make also pay for n8n. That shows the products can coexist, although the data does not explain why a company uses both or whether they serve the same workflow.
n8n ranks higher by measured spend. n8n is #99 and Make is #229. Spend rank shows where more of the observed software budget sits; it does not explain pricing or value.
This data cannot determine which product is better. It measures adoption, spend position, momentum, and—in some cases—overlap. Use those signals to understand market position, then compare the products against your own workflows, requirements, and budget.