Al-based video analytics involves the use of machine-learning, deep learning, and the application of automation which allows the system to interpret visual data both in real-time and if it is recorded. Some of the key functions that this technology can perform are object detection, pattern recognition, as well as movement tracking, all of which can be done without any human intervention. The demand for this technology is growing at a fast pace, with the need for real-time surveillance being one of the main drivers for this.
Key Growth Drivers and Opportunities
Increasing Adoption of Smart City Projects: The trend of chronic and rare diseases being more common is leading to a need for quicker and more accurate drug development, a process where convention R&D usually fails to satisfy the demand. Al fills the gap between the demand and supply in the pharmaceutical industry by providing quick drug identification, effective trial design, and accurate patient selection, thus speeding up the discovery of complex and neglected diseases.
Challenges
One of the factors influencing the growth of the Al-based video analytics market is the introduction of smart city projects. These programs employ Al-powered image analytics for instant surveillance, automatic alarms, and effective traffic control, which in turn accelerates the worldwide turnover of smart video solutions. The demand for these systems comes from cities that need to optimize urban life through the installation of high-tech security, traffic control, and safety system.
Innovation and Expansion
IDIS and Vaidio Announced an AI video Analytics Solutions
In April 2025, IDIS announced that, in collaboration with Vaidio, the businesses have introduced a collaborative solution to accelerate key operations across a variety of use cases using powerful, customizable video analytics. The IDIS-Vaidio solution includes a comprehensive new array of AI video analytics capabilities that are easily integrated with the IDIS Solution array VMS and can be used with any camera or video source.
The new platform provides sophisticated, extremely accurate analytics that improve the effectiveness of live monitoring and forensic analysis across a wide range of surveillance applications, such as security, safety, vehicle management, operations, process monitoring, and access control.
Fujitsu Created a Video Analytics AI Agent to Promote Safe, Secure, and Efficient Frontline Workplaces
In December 2024, Fujitsu has announced the creation of a video analytics AI agent for frontline jobs. The AI agent creates reports and makes recommendations for workplace changes based on spatial video and picture data from workplace camera footage, as well as textual material. The AI agent will be positioned as a key component of Fujitsu’s AI service “Fujitsu Kozuchi”. Fujitsu will provide a trial environment for the AI agent in fiscal year 2024, with in-house implementation beginning in January 2025.
The AI agent is built around a multimodal large language model (LLM). The AI agent teaches itself to identify 3D photos of the workplace using information from textual documents (such as safety guidelines).
Inventive Sparks, Expanding Markets
Al-based video analytics companies have taken numerous initiatives to be more competitive and grow their market share. The initiatives include but are not limited to; focusing on the development of Al algorithms, exploring new application areas, leveraging edge computing, partnering with complementary businesses, moving into new markets and ensuring compliance with relevant laws and regulations.
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