What’s new in video surveillance security in 2025?

Security camera technology has proved to be a reliable and invaluable tool to security teams, businesses and residential buildings alike.

Though some security technologies have not lived up to the hype, cameras have demonstrated their worth and have indeed delivered.

Though they can’t physically stop a crime or incident from occurring, security cameras help to protect people and assets by giving security teams a real-time view of multiple areas.  

    

Table of contents

• Video Surveillance-as-a-Service
• AI and machine learning
• Edge computing
• Thermal imaging
• 5G technology

    

The latest advancements in video monitoring technology are transforming how organizations approach security, making it more efficient, scalable and intelligent.

Here’s a look at where video surveillance security is headed.

    

Video Surveillance-as-a-Service

One of the most significant trends of 2025 is the rise of Video Surveillance-as-a-Service (VSaaS).

What does that mean? Instead of relying on on-premise hardware, VSaaS capitalizes on cloud computing to enable remote access to surveillance footage. This means security staff can view live and recorded video from anywhere with an internet connection, reducing the need for expensive, clunky on-site infrastructure. 

    

Cost reduction

As a result, costs are reduced, and companies can comfortably scale surveillance needs. Flexible, pay-as-you-go pricing models also help organizations find the correct number of resources instead of overpaying for too much of something.

“As-a-service” models have become more popular and more common in several industries, and security is no exception. Patrol Points is a SaaS solution that equips security companies with a mobile-centric patrol solution and a comprehensive security/concierge module.

The software allows companies to standardize processes and improve performance while also reducing costs associated with manual labor.   

    

Integration capabilities

 VSaaS platforms can be integrated with other security and business systems, and they can be paired with AI-based algorithms to identify and highlight relevant video events. Once something is flagged as abnormal, security can redirect their attention and check out what’s happening in real time. From there, they can determine if the event is a threat so that appropriate action can be taken.

    

Fast setup

Quick setup with device autodetection is also a significant advantage. Companies can easily add their devices with automatic detection features, saving time and providing a “plug-and-play” experience. Once a device is added, it can be used immediately without the need to configure any hardware.

    

Seamless updates and improvements

Software updates are seamless, and new features are instantly accessible as they become available, without the hassle of manual updates across your organization.

    

AI and machine learning

You can’t talk about technology anymore without bringing up AI. Artificial intelligence and machine learning are playing pivotal roles in video surveillance systems.

These solutions enhance threat detection accuracy, reduce false alarms, and enable timely security responses.

Thanks to AI, it is possible to turn weeks of seemingly redundant footage into useful data, which can be analyzed for trends and patterns.

AI-powered analytics are so powerful that they can predict incidents before they occur, allowing security teams to respond more quickly than ever before.

 These are just some of the ways AI can assist security teams:

• More accurate identification: AI can make it easier to accurately identify people, objects and behaviors
• Better threat detection: AI filters false alarms and identifies critical events, improving accuracy and security
• Preventative recommendations: AI can enhance safety by detecting risks such as missing personal protective equipment, ultimately reducing workplace hazards and liabilities
• System integration: Integration is always a good thing as it allows users to combine two or more great solutions. AI can integrate with video, access control, lighting, HVAC, fire, and business systems to make them more intelligent

Deep learning is a relatively new technology and one of the latest security camera trends to be adopted by mainstream manufacturers.

This technology allows cameras to go beyond simply recording video. When supported by deep learning capabilities, surveillance camera technology becomes better at “seeing” people, objects and actions. The longer a system analyzes an area, the more accustomed it becomes to identifying regular activity, which makes it easier to recognize anomalies.

Key benefits of deep learning include:

• Improved decision making: Insights from deep learning can help human security teams determine what actions should be carried out based on what the footage presents
• Increased efficiency: Deep learning analytics software can continuously monitor a space without needing a break, regardless of weather conditions or occupancy levels. This allows teams to focus on more complex issues, ensuring resources are used efficiently
• Integration and automation opportunities: Notice a trend here? Deep learning can be used with sensors, alarms and access readers to support automated responses

    

Edge computing

 Edge computing refers to systems that perform functions at the device rather than at a separate server, resulting in high-quality insights with less latency.

When it comes to surveillance camera technology, edge systems leverage video camera analytics to process video data at the point of recording; the benefit being that security staff can better understand real-time events via advanced analytical processing.

One cool and thoughtful result of edge computing is that the more data that’s processed at the device, the less needs to be sent elsewhere, removing opportunities for sensitive information to be intercepted. 

    

Thermal imaging cameras

This used to be depicted as sophisticated high tech for fictional spies, but thermal technology is readily available to security companies that have a use for it.

Traditionally, thermal imaging was used to support fire detection and machine observation practices. But modern devices are being deployed more frequently to capture high-quality footage in variable light conditions. 

Thermal cameras can be used for security and environmental purposes, with wider potential applications in energy audits for building management and machine maintenance.

    

5G technology

The adoption of 5G-enabled cameras is becoming more of the norm than a trend in the security industry. With the ability to send audio and video data over high-speed wifi networks, this technology promises greater capacity, higher-quality video, and more reliable signal strength.

5G networks can support as much as 100 times more traffic than 4G networks, hosting far superior connections.

A larger variety of 5G-enabled CCTV cameras, integrations, and applications will be developed for commercial installations as the technology becomes more commonplace.

    

Conclusion

While all of this exciting video surveillance technology will help security teams, it still won’t replace human professionals. AI, just like surveillance cameras, is more appropriately categorized as supportive technology, providing teams with a good opportunity to accurately analyze and gain insights into security events.

Surveillance technology can help teams allocate resources more effectively, and cut costs by reducing the need for constant video monitoring. 

As organizations strive to create safer professional, educational or living environments, embracing these trends and innovations will be key if they want to remain competitive and productive.

By leveraging cutting-edge technology, security organizations can gain a competitive advantage over the competition, while meeting the evolving needs of their clients.