By applying artificial intelligence and machine learning algorithms to video streams, the latest systems can automatically detect objects, analyze behavior patterns, and alert security personnel to potential threats in real time.

Modern video analytics platforms go far beyond simple motion detection, offering sophisticated capabilities like facial recognition, object classification, perimeter breach detection, and unusual activity monitoring. These tools dramatically reduce the manual effort security professionals require to monitor multiple video feeds while improving incident response times and investigation efficiency. The technology continues to evolve, with leading providers now offering features like AI-powered video search, anomaly detection using computer vision, and advanced forensic analysis tools that can process hours of footage in minutes.

This article introduces video analytics software, explains how it benefits businesses, and lists some of the leading AI video analytics companies in the market.

What is Video Analytics?

Video analytics is the automated process of analyzing digital video content using artificial intelligence and computer vision algorithms to extract meaningful information and generate actionable insights. This technology can detect, track, and classify objects, analyze movement patterns, recognize faces, read license plates, and identify specific behaviors or events within video footage. The systems process video data either in real time or forensically, transforming raw footage into structured data that can be searched, filtered, and analyzed for various purposes, including security monitoring, business intelligence, and operational efficiency.

Advanced video analytics platforms incorporate machine learning capabilities to continuously improve accuracy and adapt to new scenarios, offering features like AI-powered search, automated alerting, and statistical reporting.

AI Video Analytics vs Standard Video Analytics

Top-tier AI video analytic solutions work on a continuous learning AI model, adjusting to the characteristics of each environment, such as lighting, layout, and activity patterns. This continuous learning allows for more accurate detection and fewer missed events and false alarms.

Standard video analytics, on the other hand, work on rule-based algorithms that track changes in pixels to identify motion. It lacks an understanding of the context of what is happening and can't adapt to changes like lighting or large crowds.

Key Benefits of AI Video Analytics

As AI’s use cases continue to expand across multiple industries, its role in video analytics is growing. The capabilities of today’s AI-powered systems give them a leading role in modern organizations, sharing detailed and granular information on environment-specific activities at all times. The key benefits of AI-powered video analytics include:

Enhanced Security and Threat Detection

AI-powered systems excel in real-time identification of security threats and suspicious behavior, resulting in immediate response for perimeter breaches or unauthorized access. With AI's capabilities, security systems become proactive rather than reactive.

Operational Efficiency

With constant surveillance and automated alerts, AI-powered systems have no need for manual video monitoring. When incidents do arise, security personnel can conduct forensic searches across multiple cameras with advanced filtering and search options, analyzing hours of footage in minutes.

Cost Reduction

AI-powered video analytics can help companies lower costs through reduced staffing requirements for monitoring, fewer false alarms, and better prevention of theft and security incidents.

Business Intelligence

Turn video footage into data insights to quickly visualize trends and activities such as customer or inventory counting and heat mapping of movement patterns. The systems can also be used for crowd analysis and operational compliance monitoring.

Top 10 AI Video Analytics Companies in 2025

To help readers make sense of the different platforms on the market, this article reviews the key features and pros and cons of industry leaders. While each platform offers unique strengths, our analysis reveals why Lumana stands out as the preferred choice for organizations seeking the perfect balance of advanced capabilities, user-friendly interface, and value.

1. Lumana

Lumana delivers a comprehensive video intelligence platform that transforms conventional surveillance into proactive security and business optimization tools. Built for enterprise deployments, the platform combines proprietary computer vision algorithms with a hybrid edge-cloud architecture. It processes video in real time to detect objects, recognize patterns, and identify anomalies, balancing robust video security management with sophisticated AI analytics.

Key Features

• Behavioral Analysis: Automatically identifies suspicious activities and unusual patterns based on contextual understanding
• Object Recognition: Precisely detects and classifies people, vehicles, and objects across diverse environments
• Advanced Search Capabilities: Enables rapid search of extensive video footage by specifying parameters such as people and vehicle attributes, streamlining investigations
• Custom Alert Rules: Flexible configuration options for tailoring detection parameters to specific security requirements and automated response

Pros 

• Real-time activity-based alerts automate monitoring and improve organizational visibility
• Powerful search based on specific attributes enables analysis of millions of hours of footage in seconds 
• Continuous-learning algorithms improve detection accuracy (up to 90% compared to other systems) based on site-specific patterns

Cons

• May require minimum camera resolution and processing capabilities for optimal performance
• System might need a brief learning period to adapt to specific environments for maximum accuracy

2. Eagle Eye Networks

Eagle Eye Networks is a provider of cloud-based video surveillance solutions, leveraging AI-driven analytics to enhance security and operational efficiency. Prioritizing cybersecurity, its platform offers scalable video management with real-time alerts, smart search capabilities, and seamless integration with existing security systems. 

Key Features

• 911 Camera Sharing: Share instant access to video from selected security cameras with first responders in emergencies
• License Plate Recognition: Accurately identify license plates for security or other purposes with AI-powered technology
• 2-way Audio: Connect remotely with staff through your surveillance system and immediately alert specific areas for safety and security warnings
• Smart Video Search: Search across multiple cameras for people, objects or vehicles the way you search the internet

Pros

• Ability to support unlimited locations and cameras with additional infrastructure investment
• Integrates with existing cameras
• Features encrypted data storage and other cybersecurity measures

Cons

• Setup costs can be high for small businesses
• Analytics offer little flexibility or customization

3. Lumeo

Lumeo combines advanced computer vision with sophisticated analytics to transform video surveillance into actionable business intelligence. Designed for businesses seeking easy customized workflows, Lumeo streamlines security and operational monitoring with real-time insights and automated event detection.

Key Features

• No-Code Video Analytics Application Builder: Users can create workflows in a simple drag-and-drop interface
• Automated Response Protocols: Configurable alerts can trigger specific actions based on detected events
• Instant-Deploy Solutions: Preconfigured templates make it easy to get started with common use cases, which can be tailored to customer needs
• Custom Analytics: Dashboards can be customized with live video, clip reviews, data widgets, and more

Pros

• Users can tailor the system to their needs with no programming knowledge required
• Streamlined process for rapid deployment with minimal configuration requirements
• Open platform supporting integration with third-party AI models and existing systems

Cons

• Not a full video management solution and requires working on top of an existing system
• Advanced use cases may require professional services for optimal configuration

4. Gorilla Technology

Gorilla's platform specializes in AI-powered video analytics, security intelligence, and IoT solutions, with a focus on smart city and enterprise applications. Its platform leverages Edge AI processing to enable real-time facial recognition, object analysis, and traffic management for large-scale surveillance and security operations. Gorilla’s solutions are highly customizable, allowing organizations to tailor AI models to their specific needs, from retail analytics to law enforcement.

Key Features

• Edge-AI Solutions: Allows video processing directly on devices, reducing bandwidth requirements and enabling faster responses
• Facial Recognition: Advanced facial (and other object) recognition capabilities for identity verification and access control
• Behavior Analysis: Detection and analysis of human behaviors, movements, and activities for security monitoring
• Smart City Applications: Solutions designed for urban security, traffic management, and public safety

Pros

• Scalable solutions for enterprise and government applications
• Comes with a customizable AI Toolkit to address unique project requirements
• Optimized bandwidth usage for scenarios with limited connectivity or where reducing network traffic is necessary

Cons

• Niche market focus may not be well suited for smaller businesses or other industries
• May require significant upfront investment for full implementation

5. IRIS+

With almost two decades of expertise, IRIS+ is an AI-powered video analytics platform by Irisity. Built on a highly scalable IoT architecture, it offers flexible deployment across cloud, on-premise, and hybrid environments, with superior capability to detect unexpected behaviors and events. IRIS+ features anomaly detection that learns typical movement patterns to improve the identification of unusual activities in monitored areas. 

Key Features

• AI Alerts: Receive real-time alerts for unlimited detection zones and targets with customizable scheduling options
• Unattended Object Detection: Automatically identify and alert when objects are abandoned for specified time periods
• Advanced Crowd Analytics: Leverage business intelligence dashboards to analyze crowd density and generate accurate counting data for large gatherings
• Group Behavior Monitoring: Detect and alert when people gather in specific locations for defined durations in close proximity

Pros

• Total cost of ownership savings from automated backups, seamless upgrades, and 24/7 network support
• Easy to scale capabilities as needs grow without significant hardware investments
• Customizable AI accommodates varying needs and budgets

Cons

• Mastering the advanced anomaly detection functionality requires some initial training and familiarization
• Optimal configuration of the system requires technical expertise

6. Genetec Inc.

Genetec offers a comprehensive suite of AI-driven video analytics solutions designed to enhance security operations and situational awareness. Its primary offering, KiwiVision™ Video Analytics, integrates seamlessly with the Genetec Security Center, providing a unified platform for efficient monitoring and response.

Key Features

• Automated Threat Detection: KiwiVision™ automates surveillance tasks, enabling real-time detection of potential security threats and reducing the reliance on manual monitoring
• Perimeter and Area Protection: The system monitors designated zones to identify unauthorized access or suspicious activities, bolstering perimeter security
• People and Crowd Analytics: It analyzes crowd density and movement patterns, assisting in maintaining safety during large gatherings and optimizing operational efficiency
• Integration Capabilities: Genetec's analytics solutions are designed to work cohesively with existing security infrastructures, allowing for scalable and flexible deployments

Pros

• Unified platform incorporating video analytics into the Genetec Security Center streamlines operations and enhances situational awareness
• Advanced AI capabilities boost accuracy and response time
• Seamless integration with a wide range of third-party devices and systems preserves existing investments

Cons

• Full platform utilization typically requires professional implementation and proper system design
• Implementing advanced analytics may come with significant infrastructure investments, including high-performance hardware and network capabilities

7.  Digital Watchdog

Digital Watchdog offers integrated video surveillance hardware and analytics software. Its surveillance solutions are deployed across a wide variety of industries and sectors.

Key Features

• DW Spectrum IPVMS: Intuitive video management system offering flexible deployment options and user-friendly interface
• MEGApix Cameras: High-resolution camera lineup with advanced analytics capabilities built into select models
• Blackjack Servers: Purpose-built recording servers pre-configured for optimal performance with DW Spectrum
• Smart Analytics: Object detection, classification, and tracking with customizable rules and alert configurations

Pros

• Comprehensive end-to-end product solution from cameras to storage, reducing integration challenges
• Motion Smart Search lets users search through an entire year of archives in just seconds
• Scalable architecture is designed to grow from small deployments to enterprise-scale operations

Cons

• Best performance achieved when using Digital Watchdog components throughout the solution stack
• Most advanced AI analytics features are available only in premium product tiers

8. PureTech Systems

PureTech Systems provides AI-powered video analytics for perimeter security and critical infrastructure protection. Leveraging geospatial intelligence and computer vision, the platform ensures accurate threat detection while minimizing false alarms in challenging outdoor environments.

Key Features

• Geospatial Video Analytics: Precise object location mapping with GPS coordinates on a dynamic situational awareness display
• Long-Range Detection: Specialized algorithms optimized for identifying threats at extended distances, particularly in perimeter security applications
• Multi-Sensor Integration: Seamless fusion of video data with radar, thermal imaging, and other sensor inputs for comprehensive situational awareness
• Autonomous Response: Intelligent camera control with automatic tracking of detected targets across multiple camera views

Pros

• Superior performance in challenging environmental conditions including varying weather and lighting
• Versatile deployment for diverse critical infrastructure including borders, airports, seaports, and energy facilities
• Low false alarm rates from advanced filtering algorithms that distinguish between legitimate threats and environmental triggers

Cons

• Solutions primarily designed for perimeter security and critical infrastructure rather than general surveillance applications
• May require professional services for integration with existing security infrastructure and command center operations

9. Intellivision

IntelliVision's AI and deep learning video analytics add intelligence to security cameras by analyzing video content, extracting metadata, and delivering real-time alerts and actionable intelligence to security personnel and integrated systems. This AI technology processes live video feeds instantly, providing valuable insights while automating monitoring processes.

Key Features

• Real-Time Video Motion Detection: Accurately identifies valid motion by filtering out noise such as lighting changes, weather effects, and movements of trees or animals, reducing false alarms
• Intrusion Detection: Provides automated perimeter monitoring and secure area protection by identifying unauthorized access or breaches in designated zones
• Facial Recognition: Detects and matches faces in real-time against a pre-enrolled database, supporting applications in security and access control
• License Plate Recognition: Accurately reads license plates, even at high speeds, facilitating vehicle monitoring and access management

Pros

• Automated perimeter monitoring reduces need for manual surveillance
• Offers flexible deployment options, allowing analytics to be processed on-camera (edge), on local servers (on-premise), or in the cloud, catering to diverse infrastructure needs
• Designed for complex, multi-site enterprise deployments, offering unparalleled system integration capabilities

Cons

• Potentially over-engineered for smaller deployments; requires specific hardware for best performance
• Premium pricing structure

10. Camio

Camio is a comprehensive AI-powered video security platform that transforms standard surveillance cameras into intelligent monitoring systems. Leveraging advanced machine learning, Camio delivers real-time event detection and searchable video analytics across distributed environments.

Key Features

• Real-Time Search: Instantly locate specific events, objects, or people across all camera feeds using natural language queries
• Behavior Recognition: Identify complex activities and patterns such as loitering, tailgating, or unauthorized access
• Privacy-First Design: Automatically redact faces and other sensitive information with configurable privacy controls
• Seamless Integration: Connect with existing VMS systems, access control platforms, and business applications through robust APIs

Pros

• Works with virtually any IP camera, eliminating the need for costly equipment upgrades
• Easily expand from small deployments to enterprise-scale operations with scalable architecture and thousands of cameras
• Advanced filtering capabilities significantly decrease false alarms while maintaining high detection rates

Cons

• Performance varies based on existing camera quality
• Large deployments may need network infrastructure evaluation

A Clear Leader in AI Video Analytics

The AI video analytics market continues to evolve rapidly, with numerous platforms addressing various security and business intelligence needs. The future of this technology promises increasingly accurate AI models, enhanced edge processing capabilities, and seamless integration with business systems. While organizations have many viable options, Lumana has distinguished itself by directly solving the core challenges businesses face when implementing video analytics solutions. Take All-County Apparel, for instance—they’ve transformed their inventory management through Lumana’s real-time monitoring capabilities while enhancing their advanced video security capabilities. 

What truly sets Lumana apart is its comprehensive approach. Beyond superior video analytics, Lumana delivers a complete security ecosystem—providing access control, automated protection, immediate incident response, centralized management, and actionable business insights in a single unified platform. This integrated approach places Lumana at the forefront of video technology evolution, where powerful surveillance converges with automation and operational efficiency.

From education and government to healthcare, hospitality, retail, and manufacturing—diverse industries are already realizing significant benefits from Lumana's advanced capabilities. While the ideal solution for any organization requires balancing analytical capabilities, implementation ease, scalability, and cost-effectiveness, Lumana consistently demonstrates its value across these critical dimensions. 

To learn how Lumana is providing real solutions to organizations, visit our customer stories page.