About
PagerDuty builds a SaaS-based operations-management and incident-response platform for developers, DevOps, IT operations, security, customer-success, and business teams. Its differentiation is real-time incident coordination combined with AI-powered intelligence, automation, predictive insights, and integrations across enterprise systems.
Market
PagerDuty competes in the incident management, AIOps, on-call, and broader IT operations management market. It positions the Operations Cloud as an AI-first platform that connects people, AI agents, operational data, and enterprise tools across the incident lifecycle; its key differentiation is the combination of machine-learning signal interpretation, automated remediation and orchestration, enterprise security, and a broad integration ecosystem.
PagerDuty primarily targets mid-market and enterprise digital businesses, especially large and Fortune 500 organizations with mission-critical operations and a need for high availability. Its core buyers and users include developers, SRE/reliability engineers, DevOps and IT operations teams, security and customer-success organizations, business leaders, and the C-suite.
At a Glance
Problem
Digital businesses depend on always-on services, but operational teams are often overwhelmed by a constant stream of monitoring signals and must quickly determine which issues are business-critical, who should respond, and how to coordinate remediation. PagerDuty addresses the business impact of these incidents by reducing the time between detection and resolution; its incident-response workflow is designed to save critical remediation time and prevent or resolve business-impacting disruptions.
The central use case is a live production incident: an application or service fails, PagerDuty receives the relevant signals, identifies the incident, pages and coordinates the right responders, and helps drive the issue through resolution. The economics are therefore tied to avoiding prolonged service disruption and reducing the labor and decision time required to restore operations.
Product / Service
PagerDuty provides a cloud-based, SaaS digital-operations and incident-management platform sold through subscriptions. It collects operational signals from across an organization, interprets them with machine learning, and unifies monitoring, paging, and incident management into an end-to-end response workflow. Teams can manage incidents and coordinate response from tools such as Slack or an IDE.
The benefit is faster, more informed response with less manual coordination: the platform helps teams identify urgent work, involve the right people, and resolve incidents in a repeatable process that becomes smarter over time. Its scope extends beyond a single IT team to developers, IT operations, support, security, and business leaders involved in real-time operations.
Market
PagerDuty competes in digital operations management, incident management, and the broader market for real-time operational response software. Its disclosed competitors include Opsgenie and VictorOps, as well as larger platforms such as ServiceNow, Atlassian, and Splunk that can bundle competing capabilities with broader enterprise offerings.
PagerDuty is an established, revenue-generating SaaS company rather than a pre-revenue startup. For fiscal 2026, it reported $499 million in annual recurring revenue as of January 31, 2026, including 861 customers with more than $100,000 in ARR; its March 2026 results reported quarterly revenue of $124.8 million. The modest ARR growth indicated in those results points to meaningful scale but a relatively mature, competitive growth profile.
Founders & Leadership
Funding History
Y Combinator
SV Angel, Y Combinator
Andreessen Horowitz
Bessemer Venture Partners
Accel
T. Rowe Price, Wellington Management
Recent News
PagerDuty highlighted how resilient teams can thrive in an AI-first world by building self-improving systems that codify engineering workflows.
PagerDuty announced four new features aimed at reducing manual work and advancing its Autonomous Operations strategy.
PagerDuty announced John DiLullo as CEO and Jennifer Tejada’s transition to Executive Chair. The company also announced expansion of its AI integration ecosystem through strategic partnerships with Anthropic, Cursor, and LangChain.
PagerDuty published its 2026 State of AI-First Operations Report, covering the company’s AI-first operations perspective and the PagerDuty Operations Cloud.
PagerDuty announced a next-generation Operations Cloud release, with early access planned for the second quarter of 2026 and general availability targeted for the first half of the year.
PagerDuty reported fourth-quarter revenue of $124.8 million, up 2.7% year over year, and full-year fiscal 2026 revenue of $493 million.
PagerDuty reported third-quarter revenue of $125 million, up 5% year over year, while annual recurring revenue grew 3% year over year to $497 million.
PagerDuty launched an end-to-end AI Agent Suite designed to reduce incident response times and help teams innovate more effectively.
PagerDuty announced more than 150 customer-driven features and AI-agent capabilities. The update included the SRE Agent, projected for general availability on October 31, to accelerate triage and remediation.
PagerDuty and Arize presented a joint approach to building end-to-end observability for AI agents in production, making this one of the period’s notable integration and partnership-related announcements.
Active Roles
43Business Model
PagerDuty primarily monetizes a SaaS platform through recurring per-user cloud subscriptions and term-license software subscription fees. Its land-and-expand model encourages initial adoption and expansion across teams, while enterprise plans and paid add-ons support larger contracts.
Products
Customers
Tech Stack
Similar Companies
Competitors
Key Investors
Andreessen Horowitz, Wellington Management, Accel, Bessemer Venture Partners