The Best Video Analytics Software Companies
Learn more about the best video analytics software companies to help you make the right choice of solution to protect your sites and assets.
Who Are the Main CCTV Video Analytics Software Companies?
Due to rising demand and the ongoing switch to digital and Ai surveillance technology, video analytics software companies are now serving an increasing number of end users and security firms.
In summary, CCTV video analytics has become the working layer that turns alerts into security events you can verify and respond to. This guide explains the main types of video analytics technology, then breaks down leading software companies and what their solutions are designed to do.
What You Will Learn
What Ai based video analytics software is and how it fits security workflows
The main types of intelligent video analytics used in CCTV and monitoring environments
Ten major CCTV video analytics companies and what their software typically specialises in
Which solutions suit enterprise estates versus SMEs
Key terms you will see in specifications and tenders
TL;DR
Video analytics software companies build solutions that uses AI and computer vision to detect objects, behaviours, and events across CCTV feeds. The main CCTV analytics software vendors specialise in different areas such as edge analytics on cameras, perimeter intrusion detection, forensic search, platform integration, and thermal analytics. All in all, the right choice depends on site risk, environment, accuracy needs, integration with VMS and alarms, and operational workflow for verification.
What Is Video Analytics Software?
Video analytics solutions and software analyses live or recorded video to detect and classify events automatically. It converts raw footage into structured outputs such as alerts, snapshots, metadata, and searchable timelines. In security settings, it is used to reduce false alarms, speed up verification, and improve detection in complex environments.
What Are The Different Types Used in CCTV Security Systems?
Different analytics types map to specific security requirements, outcomes and operating conditions. Many deployments combine multiple types across cameras and zones. The main types include:
Perimeter intrusion detection and zone protection
Line crossing and virtual tripwire detection
Object detection, classification, and tracking
Behaviour analysis, loitering, and dwell time alerts
Vehicle analytics including ANPR and make model recognition
Facial recognition and identity matching workflows
Forensic search and investigation metadata platforms
Thermal analytics for low light and long range detection
Fire and heat anomaly detection using thermal imaging
Safety and compliance monitoring for restricted areas
10 Of The Main Video Analytics Software Companies
Now, let’s take a detailed look at the most widely known and popular CCTV video analytics software companies.
In summary, these include Axis, Avigilon, Senator and Hikvision.
1: Axis Communications Video Analytics Software
Axis is known for edge-based analytics that runs directly on compatible cameras. The approach is built around low-latency detection, bandwidth efficiency, and a strong ecosystem for integration. Many deployments use Axis analytics as a baseline layer, then add specialist analytics where risk demands it.
Edge analytics on-camera for faster event detection workflows
People and vehicle detection for perimeter and entrances
Line crossing and area intrusion rules for boundary alerts
Occupancy and flow analytics for operational monitoring use
Metadata export for VMS search and investigation speed
Strong integration options through open platform camera APIs
Axis software is typically chosen where reliability, openness, and scalable rollout matter.
Benefits of Axis’s CCTV Analytics Technology
Axis benefits are strongest when you want analytics close to the camera. Edge processing can simplify infrastructure, reduce network load, and improve response speed. It also suits estates where you need consistent analytics behaviour across many sites.
Low latency alerts with on-camera edge analytics processing
Reduced bandwidth using event clips not constant streams
Strong interoperability with major VMS and access platforms
Scalable camera estate management with consistent analytics rules
Mature device ecosystem and long lifecycle product support
Axis delivers dependable analytics with minimal operational overhead.
Where Are They Best Deployed?
Axis fits organisations that need dependable analytics across varied locations. It is widely used where openness and integration flexibility are priorities. It also performs well in mixed indoor and outdoor deployments.
Commercial premises with monitored entrances and perimeters
Education campuses needing deterrence and incident evidence
Retail and hospitality requiring practical operational oversight
Industrial facilities with multi-zone access restrictions
Transport infrastructure with distributed camera estates
Axis suits multi-site estates that value stability and interoperability.
2: Hikvision Analytics & Thermal CCTV Solutions
Hikvision provides a broad portfolio of CCTV analytics systems across cameras, recorders, and central platforms. Its software coverage spans object detection, behaviour analysis, facial recognition options, and vehicle analytics. Deployments often use Hikvision where feature breadth and large-scale rollout are priorities.
Deep learning detection for people, vehicles, and key attributes
Behaviour analysis for loitering, intrusion, and abnormal movement
Facial recognition options for controlled watchlist workflows
ANPR analytics for vehicle verification and access logging
Central management tools for multi-site analytics administration
Edge and server deployments depending on architecture needs
Hikvision is typically selected where broad capability coverage is required.
Benefits of using Hikvision’s VAS
Hikvision can deliver wide analytics functionality in one ecosystem. It is often used to standardise features across estates, reduce platform fragmentation, and enable consistent configuration. It can also suit environments needing rapid deployment.
Broad feature coverage across cameras, NVRs, and platforms
Scalable multi-site administration with central analytics policies
Strong object classification and event rule configuration depth
Flexible architecture using edge, server, or hybrid processing
Wide availability of hardware options for varied budgets
Hikvision benefits estates that want feature breadth and rollout speed.
Industries & Settings Best Suited To Hikvision
Hikvision deployments are common across large estates where coverage matters. It fits environments where you want consistent analytics across many cameras. It is also frequently used in mixed indoor and outdoor security.
Logistics depots with vehicle movement and perimeter risk
Warehouses needing intrusion detection after operational hours
Industrial sites with multi-zone monitoring and verification needs
Retail estates requiring incident evidence and crowd visibility
Public sector environments with broad CCTV coverage requirements
Hikvision suits broad deployments where standardisation is valuable.
3: Hanwha Vision Surveillance Analytics Software
Hanwha emphasises AI-driven detection and classification with a focus on using its video analytics software solutions to reduce false alarms. Its analytics are often used for security outcomes such as intrusion detection and perimeter protection. Many deployments value the balance of accuracy, reliability, and practical rule configuration.
Deep learning people and vehicle classification for security alerts
Attribute analytics for faster investigation and event filtering
Behaviour and loitering detection for early warning indicators
Edge AI analytics to reduce bandwidth and central compute
PTZ auto-tracking integration for verified target following
VMS integration support for metadata and alarm workflows
Hanwha is commonly chosen when accuracy and false alarm reduction matter.
Benefits of Hanwha’s Detection Solutions
Hanwha helps operators reduce noise and increase confidence in alerts. It is often deployed where environmental motion and busy scenes create false positives. It supports practical monitoring workflows across large camera estates.
Strong false alarm reduction using deep learning classification models
Reliable people and vehicle differentiation for outdoor environments
Useful metadata for investigation and rapid operator verification
Flexible edge processing reduces server infrastructure requirements
Good integration options for monitoring and VMS workflows
Hanwha supports high-confidence detection without excessive operational burden.
Industries Best Suited To Hanwha Vision
Hanwha fits sites where outdoor detection and accuracy are essential. It works well in logistics, industrial, and perimeter-heavy environments. It also suits estates where monitoring teams need clearer verification evidence.
Warehouses with after-hours access and perimeter exposure
Logistics yards with constant motion and vehicle activity
Industrial sites requiring reliable intrusion verification alerts
Solar farms needing outdoor detection and reduced false alarms
Public sector estates with wide camera distribution requirements
Hanwha suits environments where accurate classification is critical.
4: Avigilon CCTV Camera Analytics Software
Avigilon is known for next generation video analytics integrated into a broader security platform approach. Its software often focuses on high-quality detection, investigation workflows, and identity-related capabilities where deployed lawfully. Many estates use Avigilon where investigations and enterprise governance are central requirements.
Advanced object detection and event-based alerting workflows
Appearance-based search to speed up investigations dramatically
Facial recognition options for controlled enterprise use cases
Integrated VMS workflows for evidence, audit, and reporting
Central administration suited to large security operations centres
Analytics designed to support high-confidence verification processes
Avigilon is often selected where investigations and governance matter most.
Advantages of Avigilon’s Devices & Systems
Avigilon benefits teams that need fast investigations and reliable evidence. It supports structured workflows that reduce operator time and improve response quality. It is typically aligned with enterprise security operations.
Faster investigations using appearance search and rich metadata
Strong enterprise governance and audit trails for incidents
High-confidence analytics supporting verified security responses
Integrated platform reduces complexity across security toolsets
Scalable administration across multi-site enterprise estates
Avigilon suits organisations optimising detection, investigation, and governance.
Industries Best Suited To Avigilon’s Software
Avigilon is frequently used in enterprise and regulated settings. It fits organisations with dedicated security teams and complex incident workflows. It also suits environments that value investigation speed.
Large enterprises with central security operations centres
Education campuses managing incidents across multiple buildings
Healthcare estates requiring evidence and access governance
Transport hubs with complex incident response coordination
Government facilities with higher assurance security requirements
Avigilon aligns with enterprise security and structured incident handling.
5: BriefCam’s Forensics & Investigation Software Solutions
BriefCam is widely recognised for forensic video analytics rather than perimeter-first alerting. It specialises in speeding up investigations using searchable metadata and video review tooling. Many deployments use BriefCam to reduce investigation time across large recorded video archives.
Forensic search using metadata across recorded CCTV footage
Video synopsis to compress hours into minutes review
Attribute filtering for people, vehicles, and object properties
Cross-camera search supporting faster incident reconstruction
Optional real-time alert modules depending on deployment scope
Integrations designed to work alongside major VMS platforms
BriefCam is typically used to improve investigation throughput and evidence review.
Benefits of Using BriefCam
BriefCam benefits teams dealing with large volumes of recorded video. It reduces manual playback, supports structured searches, and improves investigation productivity. It is often used where incident review time is a bottleneck.
Faster investigations by searching metadata not raw playback
Reduced workload for security teams reviewing long timelines
Better evidence preparation with structured event reconstruction
Works alongside many VMS platforms and camera estates
Improves post-incident learning and pattern identification
BriefCam is strongest when investigation speed is the main KPI.
Where is BriefCam’s software solutions best deployed?
BriefCam fits environments with high camera counts and frequent investigations. It suits public spaces and estates where incident review is common. It is also relevant where compliance requires rapid evidence retrieval.
City surveillance operations needing rapid incident reconstruction
Transport networks with high camera volumes and incidents
Retail estates investigating repeat offender movement patterns
Corporate security teams managing evidence and reporting workload
Public venues requiring fast review for safety incidents
BriefCam suits organisations where investigation time drives security cost.
6: Senstar. Perimeter Detection & Verification Technology
Senstar is primarily associated with perimeter intrusion detection and multi-sensor security. Its analytics approach often combines video with perimeter sensors for higher assurance detection. This is suited to outdoor environments where accuracy and false alarm resistance are critical.
Perimeter intrusion detection analytics aligned to critical assets
Sensor fusion with fence, fibre, and ground detection systems
Thermal analytics support for low visibility outdoor environments
Alarm correlation engines for improved verification confidence
Integration with monitoring workflows for verified response actions
Systems designed for large perimeters and high-risk sites
Senstar is selected where perimeter protection is the primary security objective.
What Are the Benefits of Senstar’s Analytics Software?
Senstar supports high-assurance perimeter detection and video alarm verification. It can reduce false alarms by correlating video with perimeter sensors. This improves confidence scoring and response decisions for remote sites.
High confidence perimeter alerts using multi-sensor event correlation
Strong outdoor performance under weather and low visibility
Lower false alarms through fusion and verification evidence
Suitable for long fence lines and distributed boundaries
Designed for critical assets and high-risk environments
Senstar delivers perimeter-first detection where reliability is essential.
Which Industries Are Best Suited to Senstar?
Senstar fits environments with large boundaries and high-value assets. It suits sites where response time and false alarm reduction are critical. It is commonly relevant to critical infrastructure and remote estates.
Solar farms with remote perimeters and theft risk exposure
Utilities and substations requiring high assurance boundary alerts
Industrial compounds with long fence lines and access routes
Critical infrastructure sites needing verified response workflows
Transport depots requiring perimeter protection and deterrence
Senstar fits perimeter-centric estates where detection certainty matters.
7: Genetec. Integrated Video Analytics, CCTV & Access
Genetic is best understood as a unified security platform provider. It offers a framework that can ingest and coordinate analytics, video, access control, and alarms. Many organisations use Genetec to centralise operations while sourcing analytics from multiple specialist vendors.
Unified platform for video, access control, and event correlation
Analytics integration framework across multiple third-party engines
Centralised alarm management and incident workflow tooling
Multi-site governance suited to enterprise security operations
API-driven integrations with monitoring and response systems
Evidence management and audit controls for compliance needs
Genetec is chosen where platform-level orchestration is the priority.
Why Use Genetec’s Platform?
Genetec simplifies complex estates by centralising security workflows. It reduces fragmentation across systems and makes analytics operationally usable. It suits organisations that want one control layer across sites.
Centralises video, alarms, and access control workflows
Supports multi-vendor analytics without locking procurement strategy
Strong governance, auditability, and incident response tooling
Scales well across enterprise and public sector estates
Enables structured SOC operations and operator efficiency gains
Genetec benefits organisations managing complexity across multiple systems.
Sectors Most Suited To Genetec
Genetec fits large estates with multiple security systems and stakeholders. It suits organisations that need central governance and interoperability. It is commonly used in transport and public sector operations.
Large enterprises with multi-site security governance requirements
Transport authorities managing complex operational security estates
Public sector estates requiring auditability and central control
Campus environments integrating access control and surveillance layers
Critical infrastructure operations coordinating multiple security systems
Genetec suits estates where integration and workflow control are key.
8: Milestone Systems’ Advanced Video Management System
Milestone is a VMS platform provider with strong analytics integration capability. Its value is the ecosystem and openness that allows organisations to mix camera hardware and analytics engines. Many deployments use Milestone as the core video layer, then add specialist analytics where needed.
Open VMS platform supporting many cameras and device vendors
Analytics plugin framework for specialist third-party integrations
Metadata ingestion supporting search and evidence workflows
Scalable architecture for enterprise multi-site video operations
Event management tools supporting alarm and monitoring workflows
Integration paths for access control and security platforms
Milestone is chosen when vendor flexibility and ecosystem breadth matter.
Why Deploy Milestone Systems Software Solutions?
Milestone supports long-term flexibility in analytics selection. It enables estates to add specialist analytics without replacing the core video layer. It is often used to reduce vendor lock-in and preserve choice.
Vendor-agnostic architecture supports mixed camera estates at scale
Enables specialist analytics without replacing existing infrastructure
Strong ecosystem reduces integration friction across security tools
Scalable deployments suited to enterprise SOC operations
Stable core platform for evidence, playback, and audit workflows
Milestone benefits organisations that prioritise interoperability and flexibility.
Industries Best Suited To Milestone
Milestone fits environments with mixed hardware and evolving analytics needs. It suits organisations that want future choice and scalable administration. It is widely used across public and private sector estates.
Corporate estates with mixed camera vendors and requirements
Public sector organisations needing scalable and auditable VMS
Education campuses integrating multiple buildings and camera zones
Industrial sites evolving analytics requirements across site expansions
Retail chains standardising video operations across many stores
Milestone suits multi-vendor environments with long lifecycle planning.
9: Bosch Security Cameras & Integrated CCTV Analytics Software
Bosch offers video analytics closely integrated with its camera portfolio and broader security ecosystem. It is known for reliable analytics design, strong engineering foundations, and long lifecycle support. Bosch analytics is often used where stability and predictable performance are required.
Intelligent video analytics integrated into Bosch camera systems
Object detection and tracking for security event verification
Rule-based and AI-supported intrusion and loitering detection
Analytics designed for consistent outdoor and indoor performance
Integration with Bosch ecosystem and selected VMS platforms
Focus on reliability, lifecycle support, and operational stability
Bosch is chosen where predictable performance and long-term support are priorities.
Benefits of Bosch’s Surveillance Analytics Systems
Bosch benefits include stable analytics performance and long lifecycle product support. It often suits regulated environments where consistent behaviour and compliance-driven procurement are important. It also supports operational simplicity in deployments.
Reliable analytics performance designed for consistent operational outcomes
Long lifecycle support reduces replacement and retraining cycles
Strong engineering focus on stable detection under varied conditions
Integrated camera portfolio simplifies procurement and deployment planning
Suitable for estates prioritising predictability over experimental features
Bosch supports organisations that want dependable analytics with long-term stability.
Industries Well Suited To Bosch Security Analytics
Bosch suits estates that value reliability, engineering consistency, and lifecycle planning. It is often relevant in commercial and industrial settings. It also fits public sector procurement patterns focused on stability.
Manufacturing sites needing stable detection in operational environments
Commercial buildings requiring consistent intrusion verification workflows
Transport facilities managing varied lighting and busy environments
Energy and utilities estates prioritising reliable perimeter monitoring
Government sites requiring long lifecycle support and predictability
Bosch aligns with estates prioritising stability and procurement consistency.
10: i-PRO: Camera Based Video Analytics
i-PRO focuses on edge AI, cybersecurity design, and flexible analytics development approaches. It is known for supporting on-camera analytics workflows and emphasising secure deployment. Many deployments use i-PRO where edge processing, privacy controls, and cyber posture are key factors.
Edge AI analytics designed to run directly on cameras
Object detection and behaviour alerts for security applications
Tools supporting AI model development and deployment workflows
Cybersecurity features aligned to secure camera estate management
Metadata outputs for VMS integration and faster investigations
Architectures designed for low latency and reduced bandwidth
i-PRO is often selected where edge processing and cyber resilience matter.
Benefits of Choosing i-PRO
i-PRO helps organisations implement edge analytics with a strong security posture. It reduces reliance on cloud processing, supports low latency detection, and aligns to environments where cybersecurity requirements are strict.
Strong edge processing reduces cloud dependency and bandwidth demand
Low latency analytics supports faster verification and response decisions
Cybersecurity posture supports safer camera estate deployments
Flexible analytics approach suits varied site requirements and policies
Useful metadata improves investigation speed and operator efficiency
i-PRO benefits organisations balancing analytics performance and cyber risk.
Industries Best Suited To i-PRO
i-PRO fits environments where security and privacy controls are important. It suits estates that prefer edge processing and strong cyber governance. It is relevant in sensitive settings with strict risk management.
Healthcare environments requiring strong privacy and cyber controls
Education campuses managing varied risk and camera placement
Commercial estates needing low latency and stable analytics
Public spaces requiring governance and secure device management
Industrial sites prioritising cyber resilience for connected systems
i-PRO suits estates where cyber posture is a procurement requirement.
Summary
Video analytics software companies differ by specialisation, deployment model, and integration strategy. Some vendors lead in edge analytics on cameras, others specialise in forensic search or perimeter intrusion detection, and platform vendors focus on orchestration across systems. The best choice depends on site layout, operational workflow, and the types of events you need to detect and verify.
FAQs
Which video analytics software company is best?
The best provider depends on your environment, risk profile, and integration needs. Some vendors excel at edge analytics on cameras, others at forensic search, and others at perimeter intrusion detection. The right choice is usually the one that delivers reliable alerts, low false alarms, and clean integration with your VMS and monitoring workflow.
Is video analytics software the same as a VMS?
No. A VMS manages cameras, recording, playback, and permissions. Video analytics software detects objects and events, producing alerts and metadata. Many environments use a VMS as the video layer, then add analytics engines through plugins or APIs. Some camera vendors also embed analytics directly on the device.
Can I mix vendors across a multi-site estate?
Yes. Mixed deployments are common. You can standardise on one VMS platform, then deploy different analytics engines depending on risk and conditions, such as thermal analytics outdoors and behavioural analytics indoors. The key is ensuring event metadata and alerts flow cleanly into your monitoring and incident workflows.
Does edge CCTV analytics software reduce cost?
Often, yes. Edge analytics reduces the need for server infrastructure and lowers bandwidth usage because you transmit events rather than constant high-resolution streams. However, edge performance depends on camera capability and scene complexity. For very demanding analytics, server or cloud processing may still be needed.
What matters most when choosing a video analytics software vendor?
Detection accuracy, false alarm resistance, integration with your VMS and alarms, and operational usability in the control room. Features that look strong in a brochure can fail in real sites if they produce noisy alerts or require constant tuning. Procurement should prioritise workflow fit as much as model capability.
Do thermal CCTV analytics and visible verification compete?
They complement each other. Thermal analytics excels in darkness, poor lighting, and long-range outdoor detection where visible cameras struggle. Visible cameras typically provide better identification detail when lighting is adequate. Many high-risk sites deploy thermal for detection and visible cameras for verification and evidence.
Is facial recognition part of video analytics software?
It can be, but it is a specialist category with stricter governance requirements. Facial recognition is best treated as a controlled capability used for defined purposes, such as identifying known offenders where lawful. Many deployments achieve strong outcomes using behaviour analytics and object classification without identity matching.
Can SMEs deploy enterprise-grade video analytics technology?
Sometimes. SMEs can use many of the same analytics capabilities, especially edge-based detection and classification. The difference is usually in the depth of integration, governance tooling, and investigation workflows. SMEs should focus on the analytics that reduce false alarms and speed verification rather than complex forensic platforms.
What is the difference between video analytics and video surveillance analytics?
In practice, they are often used interchangeably. Some organisations use video surveillance analytics to emphasise security-led use cases, including threat detection and verification, while video analytics can also include operational and business intelligence use cases. The underlying technology categories are broadly similar.
Can CCTV analytics systems integrate with remote monitoring centres?
Yes, and this is where analytics often delivers the strongest ROI. When analytics produces clean alerts with snapshots or short clips, monitoring teams can verify incidents faster and reduce unnecessary callouts. Integration quality depends on how events are packaged and passed through the VMS and alarm receiving platform.
Glossary of Terms
For anyone new to this topic or unclear on some of the technical terminology used in this article, here is a brief glossary of some of the terms we’ve referred to.
Video Analytics Software
Software that converts CCTV footage into structured events and metadata for detection, verification, investigation, and operational monitoring across security environments.
Computer Vision
A field of AI that enables systems to interpret visual data, detect objects, track movement, and classify scenes using trained models.
Object Detection
A process that identifies objects in a video frame and outputs bounding boxes, class labels, and confidence scores for security decision-making.
Object Tracking
A method that follows detected objects across frames, supporting PTZ handoff, perimeter verification, and incident reconstruction workflows.
Behaviour Analysis
Analytics that flags suspicious movement patterns such as loitering, tailgating, or repeated approach behaviours based on rules or modelled normality.
Line Crossing Detection
A virtual tripwire analytic that triggers an alert when a person or vehicle crosses a defined boundary within the camera scene.
Perimeter Intrusion Detection
Analytics focused on detecting unauthorised access along fence lines, sterile zones, and boundary routes, typically optimised for outdoor environments.
Thermal Analytics
AI detection using thermal imagery to identify heat signatures, supporting reliable detection in darkness, fog, or challenging outdoor conditions.
Forensic Search
Tools that index recorded video using metadata to reduce investigation time compared to manual playback and timeline scanning.
Video Synopsis
A method that compresses long recordings into short summaries by overlaying objects and events, accelerating investigation and evidence review.
Metadata
Structured information extracted from video, such as object type, dwell time, direction of travel, and timestamps, used for search and verification.
Confidence Score
A numerical probability output indicating how likely the AI model believes a detection or classification is correct for the observed event.
Edge Processing
Analytics performed on-camera or on a local device, reducing latency and network load by processing events near the video source.
Cloud Analytics
Analytics processed on remote servers, enabling centralised compute, multi-site scaling, and model updates, dependent on reliable connectivity.
VMS Integration
The method by which analytics outputs are ingested into a VMS for alerting, evidence workflows, search, and operational monitoring.
Alarm Verification
The process of confirming whether an alert represents a genuine threat using video clips, snapshots, or live streams before escalation.
Sensor Fusion
Combining video analytics with radar, fence sensors, or vibration detectors to improve detection certainty and reduce false alarms.
Watchlist
A controlled list of enrolled identities used in facial recognition workflows, requiring strict governance, auditing, and lawful basis management.
API Integration
A structured interface enabling analytics engines to exchange events and metadata with VMS platforms, monitoring centres, and security systems.
False Alarm Filtering
Techniques used to discard non-threatening activity such as shadows, weather, or wildlife, improving operator efficiency and response quality.
