We detected 2,449 customers using Dynatrace, 33 companies that churned or ended their trial, and 151 customers with estimated renewals in the next 3 months. The most common industry is Financial Services (15%) and the most common company size is 1,001-5,000 employees (25%). Our methodology involves monitoring new entries and modifications to company DNS records.
About Dynatrace
Dynatrace provides AI-powered observability and security for complex digital ecosystems by automatically monitoring applications, infrastructure, and cloud environments to detect issues, analyze root causes, and deliver actionable insights.
📊 Who in an organization decides to buy or use Dynatrace?
Source: Analysis of 100 job postings that mention Dynatrace
Job titles that mention Dynatrace
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Based on an analysis of job titles from postings that mention Dynatrace.
Job Title
Share
Director of DevOps/Site Reliability Engineering
18%
Director of Platform Engineering
14%
Director of Software Engineering
11%
Director of Information Technology
11%
I noticed Dynatrace buyers are predominantly technology operations leaders, with Directors of DevOps and SRE representing 18% of roles, Platform Engineering Directors at 14%, and Software Engineering Directors at 11%. These decision-makers prioritize operational excellence, cloud transformation, and reliability at scale. They're building what multiple postings describe as "24x7 global command centers" and driving "AI-driven automation" strategies to reduce manual toil and improve incident response times.
The day-to-day users are hands-on engineers and technical specialists working across monitoring, observability, and infrastructure management. I found practitioners implementing "SLOs, error budgets, and incident response," conducting "predictive analytics and self-healing" operations, and managing "enterprise observability across hybrid cloud environments." These users leverage Dynatrace for performance engineering, application health monitoring, and real-time diagnostics to maintain system reliability.
The overarching pain points center on operational resilience and proactive problem prevention. Companies repeatedly mention needs for "reducing MTTR," "predictive incident prevention," and moving from reactive to proactive operations. One posting emphasizes "drive automation initiatives to reduce alert noise using AIOps," while another seeks to "enable faster triage and remediation." The consistent theme is eliminating manual processes and achieving what's described as "operational excellence through data-driven insights and intelligent automation."
🔧 What other technologies do Dynatrace customers also use?
Source: Analysis of tech stacks from 2,449 companies that use Dynatrace
Commonly Paired Technologies
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Shows how much more likely Dynatrace 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 Dynatrace users are enterprise companies with sophisticated digital operations and heavy emphasis on customer experience. The presence of ServiceNow alongside Dynatrace tells me these organizations run complex IT service management operations where application performance monitoring needs to integrate with incident response and change management workflows. They're the kind of companies where a performance issue triggers automated tickets and escalation procedures.
The pairing with Adobe Audience Manager is particularly revealing. These companies aren't just monitoring their infrastructure for uptime. They're running personalized digital experiences at scale and need to ensure their marketing technology performs flawlessly during customer interactions. When you add Qualtrics to this mix, it becomes clear these organizations are obsessively measuring both technical performance and customer satisfaction, likely connecting application slowdowns directly to experience metrics. Flexera One appearing 789 times more frequently suggests these companies manage massive software portfolios and care deeply about license optimization and IT asset management, which makes sense for large enterprises dealing with complex technology estates.
The full stack reveals sales-led, enterprise-focused companies in growth or maturity stages. DocuSign and Miro appearing so frequently point to organizations with formal procurement processes and distributed teams that need structured collaboration. These aren't scrappy startups. they're established businesses with revenue teams closing complex deals, legal departments managing contracts, and IT operations teams supporting hundreds or thousands of employees. The emphasis on both customer experience tools and operational efficiency tools suggests companies balancing growth with operational excellence.
👥 What types of companies is most likely to use Dynatrace?
Source: Analysis of Linkedin bios of 2,449 companies that use Dynatrace
Company Characteristics
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Shows how much more likely Dynatrace 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
Industry: Banking
17.2x
Company Size: 10,001+
14.0x
Funding Stage: Private equity
13.0x
Industry: Insurance
12.7x
Company Size: 1,001-5,000
11.4x
Company Size: 5,001-10,000
10.2x
I noticed Dynatrace customers span a remarkably diverse range of industries, but they share a common thread: they're all operating complex, digitally-dependent businesses at significant scale. These aren't simple operations. I'm looking at major banks processing millions of transactions (Rabobank, Bankinter, ICBC Argentina), insurance companies managing vast policyholder bases (Zurich Kotak with 1,808 employees, AAMI serving 2.5 million customers), telecommunications providers running critical national infrastructure (Telekom Malaysia, ASTRID), and retailers coordinating hundreds of locations (Accent Group with 850+ stores, Restaurant Brands International with 32,000+ restaurants). Many are also running mission-critical government services or healthcare systems where downtime isn't an option.
These are overwhelmingly mature enterprises. The employee counts tell the story: I'm seeing companies with 10,000+ employees (Stellantis with 111,881, Mahindra with 229,263, Telekom Malaysia with 10,512), established market positions, and many with Post-IPO funding stages. Several mention decades of operation, like Itaipu Binacional's 40 years or NYCM Insurance's 120+ year history.
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