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Artificial Intelligence (AI) Video Analytics Market Study Explores Industry Growth Toward $86.21 Billion
Artificial Intelligence (AI) Video Analytics Market
Significant Growth Projections for the AI Video Analytics Market
The AI video analytics market has expanded sharply and is forecasted to continue this trajectory. From $20.75 billion in 2025, it is anticipated to grow to $27.64 billion in 2026, reflecting a robust compound annual growth rate (CAGR) of 33.2%. This earlier expansion was mainly driven by the growth of surveillance infrastructure, adoption of smart city initiatives, increasing use of retail analytics solutions, heightened security monitoring needs, and a decrease in camera hardware costs. Looking ahead, the market is expected to reach $86.21 billion by 2030, with a sustained CAGR of 32.9%. Factors contributing to this forecast include advancements in deep learning algorithms, wider adoption of edge computing, increased public safety funding, automation in security systems, and the rise of AI-powered monitoring platforms.
Key Factors Fueling AI Video Analytics Market Expansion
One major driver behind the AI video analytics growth is the integration of deep learning algorithms that enable more accurate and efficient video processing. These algorithms enhance capabilities such as object recognition, behavior analysis, and anomaly detection, making surveillance systems far more effective.
Another critical impetus is the rise in edge computing adoption, which allows video analytics to be processed closer to the source, reducing latency and bandwidth usage while enabling real-time decision-making. This is particularly valuable for applications requiring instant responses such as public safety and infrastructure monitoring.
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Leading Companies Influencing the AI Video Analytics Industry
Several influential corporations dominate the AI video analytics market, including Amazon.com Inc., Google LLC, Accenture* plc, International Business Machines Corporation, Panasonic Holdings Corporation, Cisco Systems Inc., Qualcomm Technologies Inc., Honeywell International Inc., NVIDIA Corporation, Hangzhou Hikvision Digital Technology Co. Ltd., Robert Bosch GmbH, Genetec Inc., Hanwha Techwin Co. Ltd., Gorilla Technology Group Inc., iOmniscient Pty Ltd, PureTech Systems Inc., Kinesense Ltd., Airpix Inc., Dallmeier electronic GmbH & Co. KG, and AllGoVision Technologies Pvt. Ltd.
A notable acquisition took place in April 2023, when US-based Alarm.com acquired Vintra, a software company specializing in AI video analytics. This move aims to strengthen Alarm.com's AI and machine learning capabilities, accelerating advanced video analytics across its Alarm.com and OpenEye platforms. Vintra's technology transforms video footage into actionable insights that improve safety and operational productivity.
Emerging Cloud-Based Innovations in AI Video Analytics
Companies are increasingly focusing on cloud-based platforms to deliver scalable, accessible, and real-time video analytics solutions. These platforms provide on-demand computing resources, enabling efficient data storage, management, and processing without the need for extensive on-premises infrastructure.
For example, in November 2024, India-based Yotta Data Services launched Drishticam, an AI-driven cloud video surveillance platform designed for enterprises. Drishticam integrates advanced real-time analytics, predictive threat detection, and seamless system compatibility, enhancing security while helping businesses improve operational efficiency and reduce costs.
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Main Segments Defining the Global AI Video Analytics Market
This market is divided into several key segments:
1) Component: Software and Services
2) Deployment Model: Cloud-Based and On-Premises
3) Enterprise Size: Large Enterprises and Small and Medium-Sized Enterprises
4) Applications: Security and Surveillance, Customer Analytics, Operational Efficiency, Risk Management, and Compliance
5) End-User: Retail, Government and Defense, Critical Infrastructure, Transportation, Healthcare, Consumers, and Others
Within these, software is further broken down into data management software, data analysis software, cloud-based software solutions, and on-board event data recorder software. Services include installation, maintenance, data retrieval and analysis, as well as consulting and support services.
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