We detected 1,227 customers using Splunk Cloud, 630 companies that churned or ended their trial, and 49 customers with estimated renewals in the next 3 months. The most common industry is Financial Services (11%) 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 Splunk Cloud
Splunk Cloud delivers a fully managed cloud-based data platform that enables organizations to search, analyze, monitor, and visualize real-time and historical machine data for security and observability use cases, while eliminating the need to manage underlying infrastructure.
๐ Who in an organization decides to buy or use Splunk Cloud?
Source: Analysis of 100 job postings that mention Splunk Cloud
Job titles that mention Splunk Cloud
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Based on an analysis of job titles from postings that mention Splunk Cloud.
Job Title
Share
Senior Splunk Engineer
21%
DevOps Engineer
14%
Information Security Engineer
13%
Director of Software Engineering
10%
My analysis shows that Splunk Cloud purchasing decisions are driven by two primary groups. First, security and infrastructure leadership, including Directors and VPs of Cybersecurity, Information Security Risk Management, and Technology Risk, who see Splunk Cloud as critical for enterprise monitoring, threat detection, and compliance with frameworks like NIST 800-171 and RMF. Second, engineering leadership such as Directors of Software Engineering and Platform Engineering, who view Splunk Cloud as essential observability infrastructure. These buyers prioritize scalability, automation, and integration with cloud platforms like AWS, Azure, and GCP.
Day-to-day users are predominantly hands-on technical practitioners. Senior Splunk Engineers configure data ingestion, develop SPL queries, and build dashboards for security and operational teams. DevOps and SRE teams leverage Splunk Cloud alongside tools like Prometheus, Grafana, and Datadog to monitor application performance and maintain SLOs. Security Operations Engineers use Splunk Enterprise Security for correlation rules, threat hunting, and incident response. Many practitioners also manage integrations with SOAR platforms, CrowdStrike, and data pipeline tools like Cribl.
The recurring pain points reveal organizations struggling with visibility and speed. Companies want to "ensure comprehensive visibility and compliance," "accelerate resolution and recovery," and "provide actionable insights for NOC and SOC personnel." They need "high-fidelity detection" and "real-time visibility into digital platform performance." The emphasis on automation, normalization, and "reducing incident response time" shows organizations are overwhelmed by data volume and need Splunk Cloud to transform machine data into intelligence that protects critical infrastructure and enables faster decision making.
๐ง What other technologies do Splunk Cloud customers also use?
Source: Analysis of tech stacks from 1,227 companies that use Splunk Cloud
Commonly Paired Technologies
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Shows how much more likely Splunk 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 Splunk Cloud users are overwhelmingly enterprise companies with mature security and compliance operations. The presence of Proofpoint Security Training and Okta appearing hundreds of times more frequently tells me these are organizations deeply invested in protecting sensitive data and managing complex identity requirements. This isn't a startup stack. It's the technology foundation of large, regulated businesses that need enterprise-grade security monitoring and incident response.
The pairing of Splunk Cloud with ServiceNow makes complete sense for IT operations workflows. When Splunk detects a security event or system anomaly, teams route tickets through ServiceNow to manage remediation. Similarly, Okta and Splunk work together perfectly since authentication logs from Okta feed into Splunk for security analysis and threat detection. The Navex One correlation is particularly telling because it's compliance software, which means these companies face regulatory requirements around data security and need audit trails that Splunk provides. Adobe Audience Manager's presence suggests these enterprises also run sophisticated marketing operations that generate massive data volumes requiring monitoring.
The full stack reveals sales-led enterprises in growth or mature stages. Qualtrics appearing so frequently indicates these companies invest heavily in customer experience programs and employee feedback, which requires organizational scale. They're likely public companies or private equity backed businesses with dedicated security teams, formal compliance functions, and complex vendor ecosystems. These aren't nimble product-led companies experimenting with tools. They're methodical enterprises making million-dollar commitments to integrated platforms.
๐ฅ What types of companies is most likely to use Splunk Cloud?
Source: Analysis of Linkedin bios of 1,227 companies that use Splunk Cloud
Company Characteristics
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Shows how much more likely Splunk 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
22.1x
Company Size: 1,001-5,000
11.5x
Company Size: 10,001+
11.1x
Industry: Government Administration
7.8x
Industry: Software Development
2.4x
Company Size: 501-1,000
2.3x
I noticed that Splunk Cloud customers are predominantly large, operationally complex organizations that move vast amounts of critical data every day. These aren't primarily software companies. Instead, they're banks processing millions of transactions, retailers managing extensive supply chains, healthcare systems coordinating patient care across multiple facilities, utilities delivering power to millions, and government agencies serving entire populations. They're the infrastructure that keeps society running, whether that's Cardinal Health distributing pharmaceuticals, AutoZone managing 7,000+ retail locations, or Infrabel coordinating Belgium's entire railway network.
These are decidedly mature enterprises. The signals are everywhere: massive employee counts (frequently 1,000 to 10,000+), multi-billion dollar revenues, century-long histories, and global operations spanning dozens of countries. Many are publicly traded with post-IPO funding rounds. They manage complex, distributed operations requiring sophisticated technology infrastructure but their core business isn't technology itself.
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