Intelligent Security Systems – Part 2 of 5

Huge growth predicted for AI camera industry

The global AI camera market is expected to be valued at 7.6 billion dollars in 2023 and is projected to reach 22.1 billion dollars by 2028, based on a calculated compound average growth rate of 23.9% from 2023 to 2028.

The convergence of AI technology, decreasing costs, and a wide range of practical applications have fueled the growth of the AI camera market.

The growth of processor offerings in the AI camera market is driven by several key factors that emphasise the critical role of high performance processors in enabling advanced AI capabilities and real-time processing. AI-powered cameras perform increasingly complex tasks like object detection, facial recognition, natural language processing, and scene analysis.

Natural Language Processing an important factor

The integration of NLP technology into AI cameras enhances their functionality, accessibility, and usability across various industries and applications. Using natural language, NLP technology enables AI cameras to understand and respond to human commands and queries. This enhances user-friendliness and accessibility, allowing users to control and customise camera functions more intuitively. NLP technology allows AI cameras to personalise interactions based on user preferences and behaviour. This can include tailoring recommendations, settings, and responses to individual users.

Security holds the highest market share

According to Marketsandmarkets the growth of the AI camera market for security and surveillance is driven by the increasing need for advanced security solutions to meet the growing complexity of security threats. Using AI technology to significantly improve the effectiveness of surveillance systems, is also a factor. AI-powered cameras can detect and identify security threats, such as intruders, unauthorised access, and suspicious behaviour, with high accuracy. This capability enhances proactive security measures. AI technology enables video analytics for in-depth analysis of surveillance footage. This includes facial recognition, object detection, license plate recognition, and even behavioural analysis, improving the effectiveness of security systems.

Public demand for AI in CCTV

The need for heightened security measures in public and private spaces has driven the adoption of AI security cameras. Many organisations can easily integrate AI-powered security cameras into their existing surveillance systems, enhancing capabilities without significant infrastructure changes. The growth of the AI security camera market is driven by the critical role these cameras play in improving security, reducing crime, and providing valuable data for decision-making. The development and testing of autonomous vehicles in North America rely on AI security cameras for object detection, lane tracking, and obstacle avoidance, contributing to the growth of the automotive AI camera market.

Note: This editorial article has primarily been produced for the security trade magazine Detektor in collaboration with

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