Across every industry, video surveillance platforms have become essential tools for ensuring safety, monitoring assets, and enhancing operational efficiency. Recent technological advancements have increased the demand for intelligent, scalable, and cloud-based surveillance solutions. Many organizations are now upgrading to AI-powered platforms that offer advanced capabilities like facial recognition, object detection, and sophisticated data analytics. The newer systems enhance threat detection, accelerate response time, and minimize human error through automation.

Selecting a new surveillance platform represents a significant investment with implications for organizational security and business intelligence. This guide presents the top 10 video surveillance platforms of 2025, evaluated based on features, reliability, and market impact.

Top 10 Video Surveillance Software Platforms of 2025

1. Lumana

Lumana has established itself as an industry leader with its AI-driven, cloud-based surveillance system. Distinguished by an intuitive user interface, seamless IoT integration, and advanced video analytics, Lumana delivers near-human-like perception to help teams see critical events, understand the full context of any situation, and respond with unparalleled speed and precision. Its real-time threat detection and automated response capabilities set a new standard in the surveillance industry, eliminating the need for manual monitoring and offering valuable data insights for business intelligence.

Key Features:

Automated Incident Response: Initiates predetermined security protocols when threats are detected, from locking doors to sounding alarms and notifying security teams.

Advanced Facial Recognition: Identifies individuals with high accuracy even in challenging lighting conditions.

Behavioral Anomaly Detection: Uses machine learning to identify unusual activities and automatically alert security personnel before incidents escalate.

Multi-Location Remote Management: Enables centralized control of security systems across multiple facilities through a unified, secure cloud dashboard.

Pros:

AI-powered analytics and real-time alerts

Improved organizational visibility

Advanced search enables analysis of millions of hours of footage in seconds

Cons:

Setup can be more technical depending on use case

Custom AI analytics can take some time to deploy

2. Milestone

Milestone provides video management software (VMS) designed with an open-platform architecture. The platform's XProtect VMS is built to scale for businesses of all sizes, from small operations to large enterprises. While implementation requires technical expertise, users generally praise its comprehensive feature set and reliability.

Key Features:

Open-Platform Architecture: Supports over 10,000 cameras and devices from more than 150 manufacturers for flexible hardware integration.

Centralized Management System: Controls unlimited cameras across multiple sites from a single interface.

Interactive Maps & Visualization: Displays camera locations and real-time events on dynamic facility maps for enhanced awareness.

Customizable Rules Engine: Enables sophisticated automated responses based on complex conditional triggers from integrated security systems.

Pros:

Scalable and flexible 

Strong third-party integrations

Large customer support team

Cons:

Requires technical expertise for setup and use

Can be expensive for small businesses

3. Genetec

Genetec is a pioneer in unified security solutions, integrating video surveillance, access control, and analytics. Its Security Center platform provides comprehensive security management for enterprises and government institutions. With strong cybersecurity protocols and AI-powered video analytics, Genetec appeals to businesses seeking a comprehensive security solution.

Key Features:

Unified Security Platform: Integrates video, access control, and license plate recognition into a single system for comprehensive facility management.

Advanced Privacy Protection: Offers automated redaction tools certified by European privacy authorities to maintain GDPR compliance without compromising security.

Threat Level Management: Allows organizations to define and activate different security protocols based on escalating threat conditions.

End-to-End Encryption: Employs military-grade encryption throughout the platform, from camera connections to stored footage and exported evidence.

Pros:

Unified security ecosystem

AI-powered video analytics

Strong cybersecurity protocols

Cons:

High cost for enterprise solutions

Complexity in deployment

4. Verkada

Verkada has introduced a hybrid cloud approach, offering powerful AI-driven analytics and a user-friendly interface. The platform's plug-and-play deployment model accommodates organizations of all sizes. Verkada's standout features include alerts and sophisticated facial recognition, though its closed ecosystem limits integration options.

Key Features:

People and Vehicle Analytics: Provides detailed insights on human and vehicle movements, including precise counting, crowd detection, and parking management.

Environmental Sensor Integration: Incorporates air quality, temperature, humidity, and motion sensors for comprehensive facility monitoring beyond video.

Command Center: Centralizes management of unlimited cameras with rapid search capabilities that deliver results in minutes rather than hours.

Secure Remote Access: Enables authorized users to view footage from any device while maintaining security through two-factor authentication and detailed audit logs.

Pros:

Hybrid cloud storage for enhanced security

Integrated video analytics

Easy to deploy and scale

Cons:

Limited third-party integrations

Limited AI capabilities 

5. Avigilon

As a Motorola Solutions company, Avigilon has built a reputation for strengths in video analytics and surveillance hardware. Its comprehensive solution includes AI-enhanced cameras and VMS offerings. Avigilon excels in high-resolution imaging, making it a popular choice for applications requiring high video clarity.

Key Features:

Video Analytics: Object detection enables rapid location of specific individuals or vehicles across an entire facility.

High Definition Imaging: Delivers up to 30MP resolution cameras that provide exceptional detail for positive identification at significant distances.

Anomaly Detection: Uses AI to highlight critical events across the surveillance network, directing operator attention where it's most needed.

H5 Camera Platform: Features embedded AI processors that perform analytics at the edge, reducing bandwidth consumption and server requirements.

Pros:

High-resolution cameras with AI capabilities

Excellent forensic video search features

Strong hardware-software integration

Cons:

Requires proprietary hardware to use full feature set

High upfront costs

6. Rhombus

Rhombus specializes in cloud surveillance, offering smart cameras with real-time insights and remote monitoring. With facial recognition, access control, and environmental sensors, Rhombus can expand with an organization’s needs.

Key Features:

Sensor Integration: Combines video data with environmental sensors to monitor motion, air quality, temperature, and occupancy.

Access Control: Offers access control systems to link badge swipes with video verification for entry security.

Automated Occupancy Management: Monitors real-time occupancy to maintain compliance with capacity regulations.

Unusual Activity Detection: Flags deviations from typical behavior patterns for investigation and review.

Pros:

Fully cloud-managed

AI-powered automation

Security compliance

Cons:

No on-premises option

Requires strong internet connectivity

7. Axis

Axis maintains its position as an established market leader known for premium IP cameras and networking solutions. Its surveillance platform integrates seamlessly with various security systems. Axis products are often chosen for their durability and superior video quality, popular in large-scale surveillance operations like city monitoring and transportation hubs.

Key Features:

Zipstream Technology: Reduces bandwidth and storage requirements by up to 50% while preserving critical forensic details in video footage.

Edge-Based Analytics: Incorporates powerful in-camera processors for on-device detection capabilities that reduce central server requirements.

AXIS Camera Station: Simplifies daily security operations through an optimized interface designed for efficient monitoring and investigation.

Low-Light Performance: Captures color images in near darkness through Lightfinder technology while balancing exposure in challenging lighting conditions.

Pros:

Premium camera hardware

Wide range of integrations

Reliable and scalable

Cons:

Expensive, with high up-front costs

Learning curve for new users

8. Eagle Eye

Eagle Eye Networks is a leading cloud-based surveillance provider offering cybersecurity and AI analytics in a scalable platform. Eagle Eye is particularly popular for its mobile-first approach, offering seamless access to live and recorded footage via mobile devices.

Key Features:

Bandwidth Management: Automatically adjusts video quality based on available network resources while ensuring high-quality footage when needed for investigations.

Cross-Camera Object Tracking: Follows individuals or vehicles as they move through a facility across multiple camera views for comprehensive monitoring.

Flexible Storage Architecture: Combines cloud storage, on-premises recording, and hybrid approaches based on specific organizational requirements.

Open API Platform: Enables deep integration with business systems, access control platforms, and custom applications through comprehensive developer tools.

Pros:

100% cloud-managed

AI-powered insights and facial recognition

Strong encryption and data security

Cons:

Outdated software and difficult to use

Requires a stable internet connection

9. DW Spectrum

Digital Watchdog (DW) Spectrum provides an intuitive, scalable video management system with robust analytics capabilities. It is known for its reliability in enterprise deployments and supports a wide range of cameras, making it a flexible option for businesses that need a customized VMS solution.

Key Features:

Cross-Platform Client: Provides consistent user experience across Windows, Mac, Linux, and mobile platforms for flexible system access.

Intelligent Motion Detection: Minimizes false alarms through advanced filtering that distinguishes between relevant movement and environmental factors.

Virtual Camera Touring: Enables efficient monitoring of large areas through programmed view sequences based on customizable patterns.

Access Control Integration: Connects with leading access control platforms to create a unified security experience with correlated events.

Pros:

Simple and intuitive interface

Supports a wide range of cameras

Scalable licensing model

Cons:

Lacks some advanced AI features

Requires manual configuration for advanced settings

10. Videoloft

Videoloft specializes in cloud-based video surveillance for small to mid-sized businesses. The platform enables straightforward cloud integration with existing CCTV infrastructure, offering an economical upgrade path for legacy systems.

Key Features:

Cloud Adapter Technology: Connects to existing DVRs and NVRs to enable cloud storage and remote access without replacing current camera infrastructure.

Tiered Storage Options: Offers customizable retention policies by camera, allowing organizations to prioritize storage based on security requirements.

Mobile Management: Provides comprehensive system control through intuitive smartphone apps with push notifications for motion events.

Multi-Site Administration: Simplifies management of distributed locations through a unified interface with granular permission controls.

Pros:

Affordable cloud storage solution

Works with existing CCTV hardware

Easy to set up and manage

Cons:

Limited advanced analytics

Dependent on internet connectivity

Conclusion

The video surveillance industry is continuously evolving, with AI and cloud computing playing critical roles in modern security solutions. Whether you are looking for a fully AI-powered cloud-based system like Lumana or a simpler on-premise solution, the options in 2025 cater to every security need. Choosing the right platform depends on your specific requirements, budget, and the level of integration you seek for your surveillance infrastructure. 

If you’re serious about protecting your business from theft, vandalism, and intruders, consider scheduling a demo of Lumana’s proactive, AI-powered, industry-leading security system.