We detected 1,286 customers using Logicmonitor, 118 companies that churned or ended their trial, and 33 customers with estimated renewals in the next 3 months. The most common industry is IT Services and IT Consulting (14%) and the most common company size is 1,001-5,000 employees (28%). Our methodology involves discovering URLs with known URL patterns through web crawling, certificate transparency logs, or modifications to subprocessor lists.
About Logicmonitor
Logicmonitor provides AI-powered hybrid observability and infrastructure monitoring across on-premises, cloud, and edge environments, delivering unified visibility, predictive insights, and actionable intelligence to help enterprises prevent IT issues before they occur and optimize their digital operations in real time.
📊 Who in an organization decides to buy or use Logicmonitor?
Source: Analysis of 100 job postings that mention Logicmonitor
Job titles that mention Logicmonitor
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Based on an analysis of job titles from postings that mention Logicmonitor.
Job Title
Share
Director of Infrastructure
18%
DevOps Engineer/SRE
16%
Network Engineer
14%
Systems Engineer
12%
My analysis reveals that LogicMonitor purchasing decisions are primarily driven by infrastructure and operations leaders, with Directors of Infrastructure (18%), Directors of IT Operations (10%), and similar leadership roles comprising roughly 24% of the postings. These leaders are focused on building scalable, observable hybrid environments that span on-premises data centers and multi-cloud platforms. Their strategic priorities center on automation, proactive monitoring, and reducing mean time to resolution across increasingly complex technology stacks.
The day-to-day users are predominantly technical practitioners including DevOps Engineers and SREs (16%), Network Engineers (14%), and Systems Engineers (12%). These teams use LogicMonitor to monitor infrastructure health, respond to alerts, create dashboards, troubleshoot performance issues, and maintain service level agreements. They work with the platform alongside complementary tools like ServiceNow for ticketing, Terraform for infrastructure as code, and various vendor-specific management consoles for Cisco, Palo Alto, and cloud providers.
The job postings reveal companies struggling with visibility and operational efficiency challenges. Organizations emphasize the need to "ensure optimal performance, security, and availability" and "monitor and analyze customer networks, systems, backups, and security appliances." Multiple postings highlight requirements to "identify opportunities to enhance monitoring capabilities and automation" and deliver "real-time visibility, proactive alerting, and actionable insights across hybrid infrastructure." These phrases underscore a common goal of moving from reactive firefighting to proactive, data-driven operations management.
🔧 What other technologies do Logicmonitor customers also use?
Source: Analysis of tech stacks from 1,286 companies that use Logicmonitor
Commonly Paired Technologies
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Shows how much more likely Logicmonitor 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 LogicMonitor users are primarily mid-market to enterprise companies with mature IT operations and significant security concerns. The overwhelming presence of tools like Proofpoint Security Training, Navex One, and Okta tells me these are organizations dealing with compliance requirements, likely in regulated industries or handling sensitive data. They're past the startup phase and investing heavily in enterprise infrastructure.
The pairing of ServiceNow with LogicMonitor is particularly revealing. These companies run formal IT service management practices, meaning they have dedicated operations teams handling tickets, incidents, and change management. Adding Rubrik to the mix shows they're protecting significant data assets with enterprise-grade backup solutions. Meanwhile, Workday's presence suggests these organizations have substantial employee bases requiring sophisticated HR and financial systems. This isn't a scrappy startup stack. This is what I'd expect from companies with 500+ employees who need industrial-strength monitoring because downtime actually costs them real money.
The full picture reveals operations-led organizations in their growth or mature stages. They're not product-led companies trying to grow virally. Instead, they're building out serious internal infrastructure to support either complex customer deployments or their own substantial operations. The security and compliance tools suggest they're likely selling to other enterprises or operating in healthcare, financial services, or similar regulated spaces. They need monitoring that can scale across hybrid infrastructure and integrate with their existing enterprise toolchain.
👥 What types of companies is most likely to use Logicmonitor?
Source: Analysis of Linkedin bios of 1,286 companies that use Logicmonitor
Company Characteristics
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Shows how much more likely Logicmonitor 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
Company Size: 5,001-10,000
15.6x
Company Size: 1,001-5,000
10.0x
Industry: Government Administration
5.4x
Industry: Information Technology & Services
5.4x
Industry: Hospitals and Health Care
2.7x
Company Size: 501-1,000
2.5x
I noticed that LogicMonitor's customers span an incredibly diverse range of industries, but they share a common thread: they're organizations running complex, mission-critical operations that cannot afford downtime. These aren't simple businesses. I'm looking at healthcare systems serving hundreds of thousands of patients annually, financial services firms managing billions in assets, manufacturers operating sophisticated production facilities, law firms handling sensitive client data, utilities delivering power to entire regions, and transportation networks moving millions of people. What unites them is operational complexity and the stakes of failure.
The maturity signals are unmistakable. Most have employee counts in the hundreds or thousands, with many exceeding 1,000 employees. I see established revenue streams, multiple physical locations, decades of operating history (many mention 20, 30, even + years in business), and complex infrastructure already in place. Some are publicly traded or backed by private equity. These are not scrappy startups figuring out product-market fit. They're mature enterprises managing legacy systems alongside modern infrastructure.
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