Future Trends in Video Analytics: Predictions for the Next Decade

Future Trends in Video Analytics: Predictions for the Next Decade


The worldwide video analytics industry is seeing significant development prospects as a result of growing awareness of the advantages of video analytics over manual video analysis. The growing amount of unstructured video data combined with small and medium-sized businesses’ increasing need for IP-based security solutions will propel the value of the worldwide video analytics market upward. The need for video analytics will expand as a result of medium- and small-sized businesses adopting more connected devices and government measures to improve public safety infrastructure via the use of new technologies. The security and surveillance sector’s overall growth and expansion will further pave the way for the global video analytics market’s rise.


Integrated with the current surveillance system, video analytics offers real-time video analysis for improved security, monitoring, and reporting. It also automates the monitoring and administration of video feeds. This makes video stream administration and monitoring automatic. Video analysis software is in higher demand in the security, healthcare, and retail sectors since it contributes to employee and guest security. Video analytics identifies and detects intruders and suspicious circumstances and alerts security personnel to prevent them from happening.

Expansion rate in video analytics system market

According to the comprehensive analysis conducted by Data Bridge Market Research, the global video analytics system market, valued at USD 7,133.10 million in 2022, is poised for remarkable growth, projecting to reach USD 66,376.62 million by the year 2030. This trajectory indicates a robust Compound Annual Growth Rate (CAGR) of 20.9% during the forecast period from 2023 to 2030, highlighting the substantial expansion anticipated in the market. The surge in market value is attributed to the increasing adoption of video analytics across various industries for enhanced security, surveillance, and operational efficiency. The market report not only provides essential metrics such as market value, growth rate, segmentation, and geographical coverage but also offers a comprehensive understanding of the industry landscape. In addition to insights into market players and scenarios, the report curated by the Data Bridge Market Research team includes in-depth expert analysis, import/export dynamics, pricing trends, and production consumption patterns. The incorporation of a PESTLE analysis further enriches the report by providing a holistic view of the external factors impacting the video analytics system market, including political, economic, social, technological, legal, and environmental aspects. This thorough and multidimensional analysis equips stakeholders with valuable insights for strategic decision-making in the dynamic and evolving landscape of video analytics technology.

Global Video Analytics System Market Dynamics

Drone-Based Video Analytics Are Widely Used

Over the past few years, drone utilisation has increased, mostly in the aerospace and defence sectors. Based on data from the Federal Aviation Administration, there are 1,563,263 drones registered in the United States, of which 441,709 are utilised for business. Drone examinations of several places have been carried out in hard-to-reach areas. One of the most important applications for drones is creating a 3600 time-lapse video of a place. This is accomplished by carefully and frequently flying drones over an area to capture high-resolution photos from every aspect. Drones overcome the limitations of ordinary cameras with a 3600-capture area.

Growing Need in Transportation and Logistics

Today, the transportation and logistics industry depends significantly on video monitoring. Video analytics offers the transportation and logistics sector several benefits, including enhanced safety protocols, behaviour analysis, blind spot identification, and the elimination of congestion. Video analytics have the potential to enhance safety while also boosting commuter satisfaction in this market. Logistics and transportation companies can benefit from the many capabilities offered by video analytics, including intelligent traffic monitoring, unidentified object detection, cargo and train carriage recognition, facial recognition, object tracking, and more. These capabilities can help prevent disasters and identify new threats that could result in fatal vehicle crashes or infrastructure destruction.


Future Trends in Video Analytics: Predictions for the Next Decade

  • Increased Integration of AI and Machine Learning:

AI and machine learning will play an even more significant role in video analytics, enabling systems to automatically recognize and interpret complex patterns, behaviors, and anomalies. Deep learning algorithms will enhance the accuracy and efficiency of video analytics applications, making them more adept at identifying objects, actions, and even emotions.

  • Real-time Actionable Insights:

Video analytics systems will evolve to provide real-time actionable insights. The integration of edge computing and advanced processing capabilities will enable immediate responses to events, allowing for proactive decision-making and rapid intervention in security, safety, and operational scenarios.

  • Enhanced Facial Recognition and Biometrics:

Facial recognition technology will continue to advance, offering improved accuracy and reliability. Video analytics systems will increasingly integrate facial recognition and biometric authentication for applications ranging from access control to personalized customer experiences.

  • Behavioral Analytics for Predictive Insights:

Behavioral analytics will become more sophisticated, allowing systems to analyze patterns of human behavior and predict potential incidents or anomalies. This will be particularly valuable in security and retail settings, where predictive insights can inform preemptive actions.

  • Privacy-Preserving Technologies:

With increasing concerns about privacy, there will be a focus on developing and implementing privacy-preserving technologies in video analytics. Techniques such as federated learning, on-device processing, and encryption will be employed to balance the benefits of video analytics with privacy considerations.

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