PUBLISHER: Mordor Intelligence | PRODUCT CODE: 2124939
PUBLISHER: Mordor Intelligence | PRODUCT CODE: 2124939
According to Mordor Intelligence, North America video surveillance systems market size in 2026 is estimated at USD 30.41 billion, growing from 2025 value of USD 26.84 billion with 2031 projections showing USD 56.73 billion, growing at 13.28% CAGR over 2026-2031.

This report is Segmented by Component (Hardware, Software, Services), Deployment Mode (On-Premises, Cloud), Connectivity (Wired, Wireless), Resolution (Standard Definition (SD), High Definition (HD), and More), End-User Industry (Commercial, Infrastructure, and More), and by Country. The Market Forecasts are Provided in Terms of Value (USD).
Specialized AI processors embedded inside cameras shift analytics from central servers to the edge, cutting bandwidth needs by up to 70% and lowering storage requirements. Platforms powered by NVIDIA Jetson Orin demonstrate how real-time object detection, smart parking, and perimeter monitoring can run locally, eliminating costly back-end appliances. The architectural change is meaningful for retailers, campuses, and multisite enterprises where centralized analytics previously required heavy capital spending. As component prices fall and chipsets attain higher thermal efficiency, adoption is expected to climb across small and mid-sized projects, driving incremental demand for subscription-based software updates.
Statutory requirements at federal, state, and municipal levels are turning mobile video capture into a non-discretionary line item for public-safety budgets. Body-worn and vehicle-mounted devices now integrate with central evidence management systems that automate chain-of-custody tracking and facilitate rapid disclosure under freedom-of-information rules. Departments experimenting with cellular backhaul have shown crime-deterrent benefits and reduced citizen complaints. These mandates ripple through adjacent segments such as secure cloud storage, digital-evidence software, and data-protection services, enlarging the overall revenue pool.
Patchwork bans on biometric analytics across multiple jurisdictions create compliance complexity and legal exposure. Enterprises operating nationwide must deploy redaction tools that blur faces or automatically toggle algorithms by location, increasing software and process overhead. Uncertainty about federal standards prolongs procurement cycles for projects that rely on advanced analytics, restraining revenue growth in the interim.
Other drivers and restraints analyzed in the detailed report include:
For complete list of drivers and restraints, kindly check the Table Of Contents.
The North America video surveillance systems market size for hardware stood at USD 18.57 billion in 2025 and captured 69.20% of total revenue, reflecting ongoing large-scale camera roll-outs across retail chains, campuses, and utilities. IP cameras, network video recorders, and multi-sensor devices drive the bulk of spending thanks to higher resolution and analytics readiness. Suppliers differentiate through low-light performance, cybersecurity hardening, and open-API design that simplifies integration with access-control and building-management platforms. Despite near-term resilience, the hardware share is expected to erode gradually as customers favor asset-light procurement models.
During 2026-2031, Video Surveillance as a Service is projected to post a 15.5% CAGR, outstripping all other component categories. Cloud subscriptions decouple software capabilities from replacement cycles, letting users activate new AI modules without buying fresh cameras. This shift diverts budget away from capital equipment toward recurring operating expenditure, challenging hardware-centric vendors to reinvent go-to-market strategies and bundle managed services.
On-premises installations represented 84.10% of the North America video surveillance systems market share in 2025, anchored by industries that prize deterministic performance and data sovereignty. Large retailers and airports historically favored local servers to avoid latency and bandwidth constraints. Yet the cost and complexity of scaling such infrastructures are prompting a reassessment, especially as cloud-native platforms demonstrate rapid feature release cycles.
Cloud deployments are forecast to grow 15.9% annually through 2031, propelled by centralized policy management, elastic storage, and integration with enterprise analytics workloads. The hybrid model-edge recording combined with cloud orchestration-offers a pragmatic migration path, delivering uptime assurance while exposing APIs that feed corporate dashboards with real-time insights on occupancy, queue length, or asset utilization.