We detected 171 companies using F5 Distributed Cloud. The most common industry is Financial Services (17%) and the most common company size is 1,001-5,000 employees (22%). We find new customers by discovering URLs with known URL patterns through web crawling or certificate transparency logs.
Note: We track companies that use F5 Distributed Cloud in front of their API
The count of new companies shown here may differ from the total in the table above. This is intentional. We apply a consistent baseline to ensure month-over-month comparisons are apples-to-apples rather than affected by when data was first collected.
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Market Insights
๐ข Top Industries
Financial Services24 (17%)
Insurance16 (12%)
Banking14 (10%)
Hospitals and Health Care6 (4%)
Government Administration5 (4%)
๐ Company Size Distribution
1,001-5,000 employees35 (22%)
2-10 employees28 (17%)
10,001+ employees22 (14%)
51-200 employees22 (14%)
201-500 employees16 (10%)
๐ Who usually uses F5 Distributed Cloud and for what use cases?
Source: Analysis of job postings that mention F5 Distributed Cloud (using the Bloomberry Jobs API)
Job titles that mention F5 Distributed Cloud
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Based on an analysis of job titles from postings that mention F5 Distributed Cloud.
Job Title
Share
Network Engineer
49%
Information Security Engineer
8%
Network Administrator
8%
DevOps Engineer (SRE)
6%
My analysis shows that F5 Distributed Cloud purchasing decisions are primarily driven by network engineering and security leadership teams. Network Engineers comprise 49% of roles mentioning this technology, with Information Security Engineers at 8%, Network Administrators at 8%, and DevOps Engineers at 6%. The strategic priorities revolve around modernizing application delivery infrastructure, implementing web application firewalls, and securing hybrid cloud environments. These teams are focused on moving beyond traditional on-premise F5 BIG-IP deployments toward cloud-native architectures.
The day-to-day users are hands-on infrastructure professionals managing load balancing, WAF policies, bot mitigation, and API protection. I noticed practitioners are responsible for onboarding applications, implementing security controls, troubleshooting false positives, and maintaining high availability across multi-region deployments. They work extensively with platforms like Akamai and Cloudflare alongside F5 Distributed Cloud, managing traffic inspection, rate limiting, and security analytics. Many roles require automation skills using Python, Ansible, and Terraform to streamline configurations.
The pain points center on protecting business-critical applications while enabling digital transformation. Companies seek to "provide secure network and application connectivity" and "protect against web-based threats" while ensuring "resilient, secure, and highly available network solutions across enterprise and hybrid cloud environments." One posting emphasized the need to "operate, strengthen, and continuously improve our web application firewall, edge security, and application protection platforms." Organizations are clearly transitioning from legacy infrastructure to modern, cloud-first security architectures that can scale globally while maintaining compliance with industry standards.
๐ฅ What types of companies use F5 Distributed Cloud?
Source: Analysis of Linkedin bios of 171 companies that use F5 Distributed Cloud
Company Characteristics
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Shows how much more likely F5 Distributed Cloud 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
99.0x
Company Size: 5,001-10,000
59.9x
Company Size: 10,001+
53.9x
Industry: Insurance
42.4x
Company Size: 1,001-5,000
31.9x
Industry: Financial Services
15.7x
I noticed that F5 Distributed Cloud customers are predominantly companies that handle high-stakes, real-time transactions where downtime isn't an option. These aren't typical SaaS companies. They're financial institutions processing payments and insurance claims, transportation networks moving millions of passengers, government bodies serving citizens, telecommunications providers, and large-scale retail operations. They build and maintain critical infrastructure that entire populations depend on daily.
These are definitively mature enterprises, not startups. The signals are unmistakable: employee counts regularly exceed 1,000 (often 5,000+), they describe decades of operating history, they serve millions of customers across multiple countries, and they operate extensive physical infrastructure networks. ABANCA mentions "over 8,000 employees worldwide," DS Group references founding in 1929, and V.tal describes "22 million homes passed." These companies manage legacy systems while modernizing, which is exactly when distributed cloud infrastructure becomes critical.
๐ง What other technologies do F5 Distributed Cloud customers also use?
Source: Analysis of tech stacks from 171 companies that use F5 Distributed Cloud
Commonly Paired Technologies
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Shows how much more likely F5 Distributed Cloud 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 F5 Distributed Cloud users are established enterprises with sophisticated operational frameworks and serious compliance requirements. The presence of tools like Dynatrace, CyberArk, and AuditBoard tells me these companies are managing complex, distributed infrastructure where security, observability, and audit trails aren't optional. They're likely in regulated industries like financial services or healthcare where governance matters deeply.
The pairing of Dynatrace with F5 makes perfect sense because companies investing in distributed cloud infrastructure need comprehensive application performance monitoring across their entire environment. When I see CyberArk Privilege Cloud appearing 1194 times more often, it signals these organizations are serious about zero-trust security models and protecting privileged access in hybrid environments. ServiceNow's strong presence suggests these companies run formal IT service management processes, which tracks with the enterprise profile. The combination of Azure Databricks and F5 indicates these aren't just legacy enterprises, they're modernizing with cloud-native data platforms while managing complex multi-cloud deployments.
My analysis shows these are sales-led, enterprise-focused organizations in the growth or mature stage. The presence of Coupa for procurement and AuditBoard for compliance points to companies with established finance and risk management functions. They're not scrappy startups experimenting with infrastructure. They're enterprises making deliberate, committee-approved decisions about their technology investments. The ServiceNow correlation particularly reinforces this, as that's a tool you see when IT operates as a formal service organization with ticketing, change management, and SLAs.
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