- Specialization
Securityand 1 more specialization valuesLess
- Data Engineering
- Business
- Software Applications
- Market
Software Developmentand 1 more market valuesLess
- Cross Industry
- Ecosystem
- Not applicable
- Customers
- Enterprises
More details
- Organization type
- Commercial Company
- Ecosystem
- Not applicable
- Business
- Software Applications
- Specialization
- Security, Data Engineering
- Market
- Software Development, Cross Industry
- Customers
- Enterprises
- Delivery models
- Hosted Software, On Premise Software
- Revenue models
- Subscription, Licensing, Usage Based
- Listing status
- Not classified
- Latest equity round
- Not classified
- Reported funding amount
- Not classified
About
Splunk builds an enterprise data platform for unified security, full-stack observability, and custom applications, selling to organizations across industries. Its differentiation is combining machine-data visibility with security and observability workflows to help customers become more productive, compliant, secure, and digitally resilient.
Market
Splunk competes in the enterprise security, SIEM/SOAR, observability, and machine-data analytics markets. It positions itself as an AI-driven enterprise data platform that unifies security and observability across networks, endpoints, cloud environments, and applications, differentiating it from more specialized monitoring, observability, or security competitors.
Splunk primarily serves large enterprises and government agencies, with additional reach into mid-market organizations through Splunk Cloud. Its core buyers and users are CISOs, SecOps and ITOps leaders, SREs, IT operations managers, and engineering teams in regulated or data-intensive industries such as financial services, healthcare, retail, manufacturing, and the public sector.
At a Glance
Problem
Modern organizations generate enormous volumes of machine data across applications, infrastructure, networks, cloud environments, and security systems, but that data is often fragmented across disconnected tools. The resulting blind spots create expensive operational and security pain: outages damage revenue and customer experience, while security teams face alert overload, slow investigations, and difficulty identifying emerging threats. Splunk frames downtime as a $600 billion problem and positions its core use cases around preventing outages, detecting threats, reducing fraud, meeting compliance requirements, and improving digital services.
The killer use case is turning scattered telemetry into fast, actionable decisions. Security operations teams use Splunk to detect, investigate, and respond to threats, while IT and engineering teams use it to correlate signals, identify anomalies, reduce alert noise, and resolve or prevent incidents. Customer examples include Carrefour responding to threats three times faster, Singapore Airlines detecting issues more than 75% faster, and Specsavers using automation to prevent critical incidents and save thousands of hours monthly.
Product / Service
Splunk is a data platform for collecting, indexing, searching, correlating, and visualizing machine data at scale. Its cloud delivery model, Splunk Cloud Platform, receives data from forwarders and makes it searchable, while Splunk Enterprise provides an on-premises engine for operational intelligence. On top of the platform, the company sells security and observability products, including Enterprise Security for threat detection, investigation, and response, and Observability Cloud for application, infrastructure, digital experience, and AI-stack monitoring.
The benefit is a unified, contextual view of an organization’s digital environment rather than a collection of isolated monitoring and security consoles. Splunk combines analytics, machine learning, automation, SIEM, SOAR, UEBA, application performance monitoring, and AIOps to help teams detect anomalies, suppress noisy alerts, investigate incidents, predict problems, and act before disruptions occur. Its platform can consolidate tools and data sources while improving resilience, response speed, and operating economics.
Market
Splunk competes across the security information and event management market, security operations, log management, IT operations management, and full-stack observability. Its principal competitive set varies by use case and includes IBM Security QRadar, LogRhythm, Trellix, CrowdStrike’s Falcon Next-Gen SIEM, Securonix, Elastic, Datadog, and Grafana. The company’s differentiation is the breadth of its data platform and its ability to connect security, observability, and operational workflows across hybrid and multicloud environments.
Splunk is a mature, revenue-generating enterprise software business rather than a pre-revenue company. Before its acquisition, it reported $4.216 billion in fiscal 2024 revenue and 899 customers with more than $1 million in annual recurring revenue. Cisco completed its acquisition of Splunk on March 18, 2024, for approximately $28 billion; Splunk’s shares were delisted, and the business now contributes to Cisco’s broader software, security, and observability portfolio. Cisco reported $22.3 billion in fiscal 2025 software revenue, up 21%, driven in part by Splunk, although Cisco does not separately disclose current Splunk revenue in the cited evidence.
Founders & Leadership
Funding History
August Capital, Sevin Rosen
JK&B Capital, August Capital, Sevin Rosen
August Capital, JK&B Capital, Sevin Rosen, Ignition Partners
Battery Ventures
Silver Lake
Hellman & Friedman
Starboard Value
Recent News
Splunk announced Splunk Cloud Platform 10.6 and Splunk Enterprise 10.6. The releases include expanded federated search, AI-assisted investigation capabilities, and updates to platform administration and observability workflows.
Cisco and NVIDIA announced an expansion of their partnership to bring self-managed AI to Splunk Enterprise customers across on-premises, private-cloud, and air-gapped environments. The announcement described Cisco AI POD for Splunk as a new configuration within Cisco Secure AI Factory with NVIDIA.
Splunk announced new purpose-built agent capabilities to expand its Agentic SOC Workforce. It also described new agentic security capabilities in Splunk Enterprise Security Essentials and deeper agentic autonomy in Splunk Enterprise Security Premier.
Splunk announced that Splunk Agent Observability was available through Splunk Observability Cloud and Cisco Cloud Control. Its new Tokenomics capability provides visibility into AI-agent and coding-agent usage, costs, adoption, and productivity to help organizations optimize spending.
Cisco announced new Tokenomics capabilities in Splunk Agent Observability, enabling organizations to track AI-agent performance and token spending. The feature uses capabilities from Cisco’s Galileo acquisition and extends observability to Splunk Observability Cloud and Cisco Cloud Control.
Cisco announced Cisco AI POD for Splunk, a pre-validated architecture combining AI runtime software, Cisco infrastructure, NVIDIA accelerated computing, and Kubernetes to run Splunk AI in on-premises, private-cloud, and air-gapped environments. Cisco said the offering was available immediately.
Splunk and AWS announced an expanded strategic partnership to jointly develop security solutions for the agentic era. The companies described a multi-year product-development agreement intended to help address fast-moving, AI-driven cyber threats and improve security outcomes.
Splunk reported that its Victoria Experience had recently launched in Germany on Google Cloud, extending availability across EMEA. The same announcement highlighted Splunk Cloud support for Google Cloud Private Service Connect and related Google Cloud capabilities.
Splunk reported new data-management and platform capabilities supporting Cisco Data Fabric as generally available. The updates include Machine Data Lake, Catalog, Agent Launchpad, expanded Federated Search, AI-powered guided onboarding and self-healing pipelines, plus expanded OpenTelemetry Collector support.
Splunk published its August 2026 security-hardening releases for Splunk Enterprise and Splunk SOAR, including fixes for multiple vulnerabilities. It also released third-party package remediation updates for Splunk Enterprise and Splunk Universal Forwarder.
Splunk released Splunk Observability for AI: AI Infrastructure Monitoring on August 7, 2026. The feature provides built-in dashboards for monitoring AI infrastructure components within Splunk Observability Cloud.
GDIT expanded its technology partnership with Splunk through a strategic collaboration combining GDIT’s mission-integration expertise with Splunk’s cybersecurity, data analytics, and AI capabilities for government customers.
Splunk introduced AI Assistant 2.0 with Agent Mode and Teach AI Beta, providing human-in-the-loop assistance for reasoning through complex data challenges.
Active Roles
10Business Model
Splunk monetizes enterprise software through paid Splunk Cloud Platform annual subscriptions and related Enterprise and Security licenses. Pricing can be workload- and data-usage-based, including daily indexing volume or vCPU consumption, while cloud and recurring subscription revenue are major streams.
Products
Customers
Tech Stack
Similar Companies
Competitors
Key Investors
Starboard Value