Top AI Video Analytics Trends for 2025

The video analytics market has seen transformative growth over the past few years, reshaping how security professionals approach video surveillance. As we step into 2025, the question is no longer whether to integrate AI into your security strategy but how to do it effectively. In this article, we’ll explore six critical trends that are redefining video analytics and share actionable tips to help organizations stay ahead. Whether you’re upgrading existing systems or planning your first AI-powered deployment, these insights will prepare you for the road ahead.

Trend 1: Consolidation of the video analytics market

In 2021, the video analytics industry saw an influx of new vendors fueled by advances in AI technology and venture capital investments. By 2024, the market has significantly consolidated, with smaller players either pivoting, ceasing development, or cutting costs to survive. This trend underscores the importance of choosing your vendor wisely.

Ensure your chosen vendor demonstrates long-term viability, with a clear roadmap for continuous development and support. This safeguards your investment and prevents obsolescence.

Trend 2: Outdated video analytics solutions

Many first-generation video analytics solutions, designed with a 5-7 year lifespan, are now reaching end-of-life. Organizations clinging to outdated systems risk falling behind as newer technologies deliver superior accuracy, enhanced features, and greater cost savings.

Evaluate the ROI of upgrading to modern solutions with advanced AI capabilities. Cloud and edge deployments can further reduce costs and maintenance efforts, ensuring your technology aligns with evolving needs.

Trend 3: Edge and cloud deployment options

The shift from costly on-premises servers to flexible cloud and edge deployment options has transformed video analytics. These modern solutions eliminate the need for dedicated server rooms and heavy capital investments while simplifying maintenance.

Opt for deployment models that align with your organization's scalability and flexibility requirements. Cloud and edge technologies can future-proof your infrastructure while optimizing operational efficiency.

Trend 4: Unlocking ROI with behavioral analytics

Behavioral analytics represents a new frontier in video analytics. These advanced AI-driven solutions can identify complex human behaviors such as aggression, slip and falls, or vandalism, empowering security teams to take proactive action rather than simply reacting to incidents.

Integrate behavioral analytics into your security strategy to maximize ROI by focusing resources on high-impact activities and enhancing the safety of your environment.

Trend 5: Evolution of VMS

The role of Video Management Systems (VMS) in video analytics is undergoing a significant evolution: ● Many AI video analytics vendors now offer integrated VMS capabilities, reducing costs and simplifying deployment. ● VMS solutions increasingly support cloud and edge environments. ● Integration with access control and other security systems delivers unified, scalable solutions.

Choose VMS solutions that align with your broader security ecosystem, ensuring seamless integration and scalability across various environments.

Trend 6: AI is now mainstream

What was once a novel concept is now standard practice in video analytics. AI’s ability to enhance situational awareness, optimize labor costs, and improve ROI is widely recognized, shifting the conversation from “why” to “how” to implement these solutions.

Partner with vendors that offer a comprehensive product suite and a proven track record of innovation and market leadership. Their expertise will help you navigate the complexities of AI adoption and achieve your security objectives.

The video analytics market is evolving rapidly, with AI driving new possibilities for proactive and efficient security. By understanding these trends and taking proactive steps, your organization can stay ahead of the curve.