We detected 27,301 customers using UIPath, 833 companies that churned or ended their trial, and 381 customers with estimated renewals in the next 3 months. The most common industry is IT Services and IT Consulting (13%) and the most common company size is 51-200 employees (24%). Our methodology involves discovering URLs with known URL patterns through web crawling, certificate transparency logs, or modifications to subprocessor lists.
About UIPath
UIPath provides a platform for agentic automation where AI agents, software robots, and people work together to automate repetitive business processes, from data extraction and document processing to complex end-to-end workflows, enabling organizations to increase productivity and reduce manual tasks.
📊 Who in an organization decides to buy or use UIPath?
Source: Analysis of 100 job postings that mention UIPath
Job titles that mention UIPath
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Based on an analysis of job titles from postings that mention UIPath.
Job Title
Share
Director, Information Technology
11%
RPA Developer
10%
Director, Corporate Strategy
7%
Director, Analytics
6%
My analysis shows that UiPath purchasing decisions are driven by senior leadership across IT, operations, and digital transformation functions. Directors of IT and Hyperautomation lead at 11%, with strategy and analytics directors at 7% and 6% respectively. These leaders are focused on building Centers of Excellence, scaling automation across enterprise functions, and driving measurable ROI. They prioritize governance, security, and integration with existing tech stacks like Microsoft 365, SAP, and cloud platforms.
Day-to-day UiPath users are primarily RPA developers (10% of postings) who design workflows, configure robots, and maintain automation solutions. They work across finance operations, HR processes, supply chain, and customer service. I noticed practitioners frequently integrate UiPath with other tools including Power Platform, AI agents, and process mining solutions like Celonis. They handle both attended and unattended automations, API integrations, and increasingly combine RPA with generative AI capabilities.
Companies are solving critical pain points around operational efficiency and digital transformation. One posting seeks to drive "operational scale" and "reduce regulatory and reputational risks." Another emphasizes "unlocking new possibilities, transformative outcomes and enduring relationships" through digital chemistry. A third focuses on "streamlining manual processes and enhancing operational efficiency" while building enterprise-wide adoption. The recurring theme is moving beyond pilots to deliver scalable, production-grade automation that generates concrete business value and supports workforce productivity at scale.
🔧 What other technologies do UIPath customers also use?
Source: Analysis of tech stacks from 27,301 companies that use UIPath
Commonly Paired Technologies
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Shows how much more likely UIPath 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 something striking about UIPath users: these are serious enterprise operations teams that have moved beyond basic automation and built sophisticated internal infrastructure. The combination of service desk software, developer tools, and internal platforms tells me these companies have reached a scale where managing complex workflows and internal operations became a strategic priority.
The pairing of UIPath with Jira Service Desk makes immediate sense. These companies are handling thousands of repetitive IT tickets and service requests, exactly the kind of work that robotic process automation can handle. They're not just automating customer-facing processes, they're automating how their own teams work. Similarly, Azure DevOps appearing so frequently suggests these are Microsoft-oriented enterprises running significant development operations. They need UIPath because they're managing legacy systems that can't easily integrate with modern APIs. Retool's presence is particularly telling. When companies use both Retool and UIPath, they're building internal tools at scale, creating custom interfaces for employees while automating the backend processes.
My analysis shows these are likely mid-market to enterprise B2B companies in a high-growth phase. They're large enough to have dedicated operations teams and complex enough to need serious automation, but they're still building and optimizing rapidly. The Sentry integration suggests active development teams monitoring production systems. This isn't a product-led motion, these are sales-led or operations-heavy companies where human processes still dominate but scale is forcing automation.
👥 What types of companies is most likely to use UIPath?
Source: Analysis of Linkedin bios of 27,301 companies that use UIPath
Company Characteristics
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Shows how much more likely UIPath 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
Funding Stage: Post IPO debt
22.5x
Funding Stage: Series C
11.5x
Funding Stage: Private equity
10.7x
Company Size: 1,001-5,000
9.3x
Country: KR
8.4x
Country: TH
7.7x
I noticed that UiPath's typical customers are incredibly diverse operationally, spanning everything from manufacturers of automotive components and office furniture to banks, insurance providers, healthcare systems, logistics companies, and government agencies. What unites them isn't what they sell, but rather that they're operational juggernauts dealing with high transaction volumes, complex processes, and significant administrative overhead. These are companies managing thousands of invoices daily, processing insurance claims, coordinating supply chains across continents, or administering public services for large populations.
These are predominantly mature, established enterprises. The signals are clear: employee counts in the hundreds or thousands, histories spanning 20 to 50+ years, extensive physical footprints with multiple offices or branches, and references to being "leaders" or holding significant market positions. While a few smaller companies appear in the mix, including some recent startups with seed funding, the overwhelming majority are well-capitalized, operationally complex organizations with legacy systems and substantial workforces.
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