n8n 爆红，创业公司如何做“AI 版 n8n”？| Jinqiu Select

Core Insights - n8n has seen a significant rise in popularity, completing a $60 million Series B funding round in March 2025, with a valuation between €250 million and €300 million, which surged to approximately $2.3 billion by August 2025 [1][2] - The annual recurring revenue (ARR) for n8n has reached $40 million, marking a fivefold increase, indicating strong market recognition and the growing importance of automation workflows as a core infrastructure for AI applications [1][3] Funding and Market Trends - A wave of startups is emerging around the concept of "AI version of n8n," combining large language models (LLMs) with automation platforms to create smarter workflows and agent systems [2][3] - The dual push of funding enthusiasm and product innovation has positioned n8n not just as a tool but as a reference point for new ventures aiming to capture the "automation + AI agent" market [3][4] Recruitment Insights - A report based on 2,209 job postings collected from Upwork, Reddit, and the official n8n community highlights the direct market demand for n8n, using recruitment as a signal of paid willingness [4][11] - The most frequently requested automation scenarios include API workflows, CRM updates, and email automation, indicating a market driven by "essential + scalable" needs [5][38] User Preferences and Market Dynamics - Users prefer freelancers and short-term collaborations, seeking quick, cost-effective, and reliable solutions rather than expensive, complex systems [5][19] - The demand distribution shows that the U.S. is the largest market for automation services, while India serves as the primary supply source, creating a "U.S. clients + Indian execution" model [5][39] Future Opportunities - AI presents opportunities for entrepreneurs to enhance automation by making it smarter, shifting from mere connectivity to understanding and recommending workflows based on user goals [6][7] - The next generation of products should focus on embedding intelligent agents into high-frequency scenarios, allowing users to interact with automation in a more natural way [6][7]