The global video surveillance market continues to grow. Current market forecasts from marketsandmarkets.com suggest that the global market volume could rise from around US$56.1 billion in 2025 to approximately US$88 billion by 2031. This would correspond to an average annual growth rate of around 7.8 per cent.

This development is no longer driven solely by traditional security requirements. Rather, video technology is increasingly evolving into a data-driven infrastructure technology that plays a central role in smart cities, critical infrastructure, industrial environments, transport systems and smart buildings.

From passive surveillance to intelligent security systems

The traditional camera, used purely as a recording device, is becoming increasingly obsolete. Modern video surveillance systems are evolving into intelligent analysis platforms capable of detecting, prioritising and evaluating events in real time.

Artificial intelligence is transforming the entire value chain of security architecture. Instead of merely storing video data, today’s systems analyse movement patterns, objects, behaviours or potential hazardous situations directly during recording.

This shifts the focus from reactive evidence collection to proactive risk prevention and operational decision support.

Edge AI is becoming a strategic key

The importance of Edge AI architectures is currently growing particularly rapidly. Analyses are no longer carried out exclusively in central data centres or cloud platforms, but are processed directly at the camera or at the network edge.

This approach offers several strategic advantages: lower latency, reduced bandwidth requirements and faster response times to security-related incidents. At the same time, local processing often improves data protection and compliance aspects, as sensitive video data does not necessarily have to be transferred in full to external cloud infrastructures.

This point is becoming increasingly important, particularly in the European market. Operators of critical infrastructure, industrial companies and public institutions are under growing regulatory pressure to ensure data sovereignty, traceability and GDPR compliance.

Smart cities and critical infrastructure drive investment

Key growth drivers include smart city initiatives, public safety programmes and investment in critical infrastructure. Cities and local authorities are increasingly relying on networked security and traffic systems that combine video analytics with IoT sensors, control centres and digital situational awareness.

This is not just about crime prevention. Traffic control, crowd management, perimeter protection, infrastructure monitoring and early warning systems for disruptions are also gaining in importance.

In particular, transport hubs, airports, railway stations and industrial sites are increasingly becoming highly networked security environments in which video analytics forms part of comprehensive platform architectures.

AI-supported analytics functions are transforming practice

At the same time, the capabilities of AI-based video analytics are continuously improving. Today, the most important functions include facial recognition, object classification, behavioural analysis, automated tracking and predictive threat detection.

This is also changing the role of control centres and security operations centres. AI systems are increasingly taking on pre-filtering, prioritisation and event correlation, whilst human operators are becoming more involved in the assessment of complex situations.

Behavioural analytics, in particular, is considered a growth area. Systems analyse conspicuous movement patterns, unusual dwell times or potentially critical behaviours. The aim is to identify risks earlier and alert emergency services more quickly.

Cloud platforms and hybrid architectures are gaining ground

Alongside edge AI, cloud-based platforms are continuing to grow in importance. Hybrid architectures in particular, which combine local processing with cloud-based management, are increasingly regarded as the preferred model.

This shift towards platformisation is fundamentally changing the market. Video surveillance is evolving away from isolated camera systems towards scalable software and data platforms with centralised device management, real-time dashboards and AI-powered analysis.

However, this also increases the demands on cybersecurity. Video surveillance systems are increasingly becoming part of business-critical networks and must be secured against tampering, unauthorised access or attacks on IoT infrastructures.

Market remains highly dynamic in technological terms

Leading companies in the international video market include Axis Communications, Bosch Sicherheitssysteme GmbH, Hanwha Vision, Dahua Technology and Hikvision. At the same time, cloud- and AI-native providers such as Eagle Eye Networks, Spot AI and Rhombus Systems are increasingly entering the market.

Competition is thus shifting increasingly from pure hardware towards software, data analysis and platform economics. In future, it will be less the camera itself that is decisive than the ability to intelligently analyse large volumes of data, operate in a regulatory-compliant manner and integrate into comprehensive security and building architectures.

Video surveillance is becoming part of digital security ecosystems

Overall, this development highlights a fundamental paradigm shift. Video surveillance is evolving from an isolated security solution into an integral part of data-driven security and infrastructure ecosystems.

AI, edge computing, cloud platforms and IoT convergence are driving this transformation forward at a rapid pace. For operators, however, this also means that the future of video technology will not be determined solely by image quality or camera density, but increasingly by data strategy, cyber resilience, integration capabilities and intelligent analytical expertise.