Artificial intelligence, higher-resolution cameras, cloud-based storage, and other advances have transformed video surveillance. Below are eight technology trends that had significant impact on the industry in 2023.
1. AI-powered video analytics
By 2027 the video analytics market is projected to grow more than 400%, exceeding 21,778,000,000. Integrating artificial intelligence into video analytics is one of the primary forces driving the industry.
AI-driven surveillance solutions generate actionable insights from collected data, autonomously detect threats, and send real-time alerts to security personnel. AI's ability to identify specific behaviors and objects increases system effectiveness and enables operators to monitor more video sources efficiently.
Organizations that adopt AI analytics can deploy more advanced security capabilities. AI surveillance can also provide behavioral insights useful for operational analysis and service improvements.
2. New cybersecurity solutions for video surveillance
Effective cybersecurity requires a multilayered approach, including device-level protection and cloud security. Internet of Things devices and video analytics create additional attack surfaces, but advanced cloud-based video surveillance solutions (VSaaS) mitigate these risks by encrypting data at all levels. Organizations must prioritize cybersecurity and implement robust measures to protect systems and prevent cyber incidents from disrupting surveillance operations.
3. Lowered operational costs, maintenance, and software upgrades
Migrating video storage to the cloud can reduce hardware overhead, simplify installation, and lower ongoing maintenance and software upgrade costs. With AI-enabled monitoring, organizations can realize estimated cost savings of 20–50% compared with traditional systems, and reduce labor through automation.
Cloud-based systems require fewer on-site hardware components, offer simpler installation, and provide automatic software upgrades and patch management, minimizing ongoing maintenance. Subscription pricing models allow organizations to optimize costs and obtain predictable expenses for video surveillance.
4. Cloud-based AI processing at scale
Cloud-based solutions are the most practical choice for advanced AI processing, offering virtually unlimited scalability and flexibility. With cloud infrastructure, organizations can add AI-driven features to their surveillance systems without large upfront investments in new hardware or on-premises software.
AI-driven video surveillance requires substantial processing power that can be met by leveraging cloud computing. Cloud platforms also provide built-in redundancy, disaster recovery, and network security measures, improving reliability and resilience. VSaaS customers can scale subscriptions quickly and integrate new features or upgrades.
5. Improvements in cloud-based solutions
Service providers differ in latency, video quality, security, and available features. Cloud storage enables secure remote access to video from any internet-connected device but introduces challenges such as latency, reliability, and network security. Organizations should evaluate cloud solutions carefully.
Cloud platforms offer storage flexibility and secure global access to video, but they require adequate compute resources to run surveillance networks without connection or latency issues.
6. Higher-resolution IP security cameras
Higher-resolution IP security cameras have become more affordable, and purchases of high-resolution cameras have roughly tripled over the past five years. They capture more detail, which improves identification of individuals and objects.
Higher resolution also enhances the effectiveness of video analytics, such as tracking and anomaly detection. However, these cameras increase processing and storage demands. VSaaS customers can use the flexibility of cloud-based services to handle the added data load and ensure infrastructure meets requirements.
7. Integrating video with third-party systems
Integrating video surveillance with access control and communications systems creates a more comprehensive security network. A monitoring system can detect specific behaviors or events and trigger actions such as sending alerts to security or emergency personnel or automatically locking doors. Cloud video solutions simplify integration and enable centralized management from a single dashboard.
Cloud or web services typically support integration with third-party systems through open APIs and well-known protocols. Choosing a cloud-based system can also reduce on-site equipment and maintenance needs, making centralized management more practical.
8. SaaS models and improved customer experience
SaaS-based, cloud video surveillance providers can offer remote technical support and reduce operational overhead. Remote troubleshooting helps deliver faster support, and product development can incorporate user feedback to improve usability. SaaS models also make it easier to deliver updates and enhancements to customers.
Adopting video surveillance trends
Video surveillance remains an important security tool. The market is growing and cloud-based solutions are increasingly common. High-resolution cameras, integration with other security systems, and SaaS delivery models are among the trends shaping the industry. Organizations that adopt these trends can improve operational capabilities and competitive position. To remain competitive, consider investment in advanced surveillance technologies and cloud-based solutions that provide scalability, flexibility, and convenience.
