Verkada reaches 30,000 customers and 100 Fortune 500 accounts — and is eyeing an IPO
Dec 10, 2025 with Filip Kaliszan
Key Points
- Verkada reaches 30,000 customers including 100 Fortune 500 accounts and signals an IPO is coming, not a matter of if but when.
- Customers double spending within 12 months and triple it within 24 months as they adopt multiple Verkada products across a $55 billion addressable market.
- The company runs AI inference at the edge on cameras to detect security threats in real time, avoiding cloud bandwidth costs and token expenses on routine footage.
Summary
Verkada, the enterprise physical security platform founded in 2016, has reached 30,000 customers globally, including 100 Fortune 500 accounts, and is operating across 17 offices worldwide. CEO and co-founder Philip confirmed the company is on an IPO trajectory, though no timeline has been announced. The company's most recent funding round valued it at $5.8 billion, with Capital G (Google's growth fund) participating, and a portion of the round allocated to secondary.
Business Model and Product Expansion
Verkada started as a vertically integrated video security company, building both hardware and software under a model it describes as end-to-end, similar in philosophy to Apple's hardware-software integration. Since expanding beyond cameras roughly four to five years ago into access control, alarms, and adjacent categories, platform adoption has accelerated sharply. 77% of core customers now use two or more Verkada products; 50% use three or more.
Customer spend compounds over time. Per the CEO, customers on average double their spend within 12 months of initial purchase and triple it within 24 months. The addressable market across the six product categories Verkada currently pursues is cited at $55 billion in annual spend, with further adjacencies in view.
AI Architecture and Real-Time Detection
Verkada's AI stack uses a layered filtering approach: lightweight inference runs on-device at the edge, with progressively heavier models handling escalated processing in the cloud. The rationale is twofold — inference cost and bandwidth constraints, since much of the customer base lacks the connectivity to stream high-resolution video to the cloud in real time. The edge-first design allows detection of specific security-relevant events such as fence climbing, abandoned objects, and weapon identification without incurring token costs on routine, uneventful footage.
Foundation models including Google's Gemini are part of the broader ecosystem the company monitors and integrates selectively. The CEO views real-time alerting, not post-incident review, as the core value proposition, explicitly positioning Verkada against the historical model of hiring people to watch video feeds.
Customer Segments and Use Cases
Enterprise campuses, airports, hospitals, and commercial infrastructure are core verticals. A recent customer example cited is Terawatts, a commercial EV charging operator in Los Angeles securing outdoor vehicle lots. K-12 education is a significant and growing segment in the US, where schools initially deploy for active threat scenarios but expand use to daily operational cases including vaping detection and incident documentation with built-in face-obscuring tools for privacy compliance.
Supply Chain and Manufacturing
Verkada manufactures across multiple regions in Asia, having diversified away from a previous Taiwan-heavy concentration. No reshoring to the US is planned at this stage. The company views its current supply chain position as adequately resilient in the context of ongoing tariff and geopolitical volatility, though the CEO declined to offer specifics on the diversification breakdown.
IPO Outlook
Verkada is not signaling an imminent public offering but the CEO framed the IPO as a matter of when, not if, pointing to the company's scale, customer expansion metrics, and market size as consistent with public-company readiness.