AUSTIN, Jan. 16, 2026 (Globe Newswire) — Global AI video analysis market It was valued at USD 8.3 billion in 2025 and is expected to reach USD 64.48 billion by 2035, growing at a CAGR of 22.85% from 2026 to 2035.
The growing need for automatic surveillance, real-time hazard detection, and intelligent surveillance in both the public and private sectors is driving the growth of the AI video analytics market. The combination of AI, IoT, and cloud platforms will increase their use in smart city, transportation, retail, and industrial applications to improve operational efficiency, safety, and decision-making, and drive rapid global market expansion.
Download AI Video Analytics Market PDF Sample @ https://www.snsinsider.com/sample-request/9396
The US AI video analytics market was valued at USD 2.23 billion in 2025 and is expected to reach USD 16.79 billion by 2035, growing at a CAGR of 22.39%.
The widespread use of smart surveillance, advanced security systems, AI-powered analytics, and government programs promoting traffic monitoring, public safety, and infrastructure efficiency in the commercial, industrial, and urban sectors are all contributing to the growth of the US AI video analytics market.
Segmentation analysis:
By use
Security and surveillance accounted for 35% share in 2025 due to high demand for real-time monitoring, threat detection, and automated incident response in the public and private sectors. The traffic and traffic management segment is expected to grow at the fastest CAGR from 2026 to 2035 as governments implement AI-powered traffic monitoring, congestion management, and smart signal systems.
By analysis type
Video content analytics gained 31% market share in 2025 due to its ability to extract actionable insights from video data. The crowd and behavior detection segment is expected to grow at the fastest CAGR from 2026 to 2035 as it requires AI to monitor crowd density and detect anomalous behavior in public spaces, events, and transportation hubs.
By end user
Government and public safety departments dominate with a 29% share in 2025 due to their extensive use of AI for crime prevention, surveillance, traffic monitoring, and emergency response. The retail and e-commerce sector is expected to grow at the fastest CAGR from 2026 to 2035 as AI video analytics helps in tracking customer behavior, optimizing store layouts, preventing theft, and increasing engagement.
By component
Software will dominate with a 51% share in 2025 due to high demand for advanced analytics platforms, machine learning algorithms, and real-time video processing solutions. The services sector is expected to grow at the fastest CAGR from 2026 to 2035 as organizations increasingly require AI video analytics consulting, integration, training, and maintenance.
By deployment mode
The cloud has become dominant with a 59% share in 2025 due to its ability to provide a scalable, flexible, and cost-effective infrastructure for video storage, processing, and analytics. This segment is expected to grow at the fastest CAGR from 2026 to 2035 due to increased adoption of AI-driven analytics, smart city initiatives, and real-time monitoring solutions.
If you need customization of the AI Video Analytics Market Report, Contact Us Now@ https://www.snsinsider.com/enquiry/9396
Regional insights:
North America dominated the AI video analytics market with the highest revenue share of approximately 38% in 2025 due to the presence of advanced digital infrastructure, early adoption of AI technologies, and significant investments in smart surveillance and security solutions.
The Asia-Pacific region is expected to grow at the fastest CAGR of around 24.20% from 2026 to 2035 as countries invest heavily in smart city projects, urban surveillance, and AI-driven traffic management systems.
Demand for intelligent surveillance and security solutions across public and private sectors increases to drive global market expansion
Government, transportation, and business sectors are deploying AI video analytics due to the growing demand for real-time monitoring, threat identification, and crime prevention. Automated object detection, facial recognition, and behavioral analysis are enabled by advanced machine learning algorithms to improve security effectiveness. Large-scale events, smart city projects, and ongoing urbanization all require continuous monitoring. Integration with cloud infrastructure, video management systems, and Internet of Things devices further improves surveillance capabilities. Companies are using AI-driven data to enhance safety protocols, reduce reliance on humans, and improve response times in public, commercial, and industrial environments around the world.
Major players:
- IBM Co., Ltd.
- Honeywell International Co., Ltd.
- Cisco Systems Corporation
- Axis Communications AB
- Avigilon Corp. (Motorola Solutions)
- Hangzhou Hikvision Digital Technology Co., Ltd.
- Daika Technology Co., Ltd.
- Genetec Co., Ltd.
- Briefcam Co., Ltd.
- indigo vision
- axon soft
- Verint Systems Co., Ltd.
- Intel Corporation
- Hanwha Techwin
- Vivotec
- Verkada
- i2v system
- bosch security system
- NICE Systems
- ObjectVideo Labs, LLC
Recent developments:
Cisco announced AI-powered Webex Contact Center with Webex AI Quality Management and Salesforce, AWS, and Epic integrations to improve video quality and analytics.
Genetec launches AI-driven intelligent investigation capabilities in Security Center SaaS to enable faster video evidence location and contextual activity analysis.
Buy the complete research report on AI Video Analytics Market 2026-2035 @ https://www.snsinsider.com/checkout/9396
Dedicated section of the report (USP):
- Regulatory and data privacy compliance metrics – Helps assess how evolving surveillance laws, AI governance frameworks, and data privacy regulations (GDPR, AI laws, regional video surveillance laws) are shaping deployment strategies across key markets.
- Adoption and capacity utilization trends – AI helps you identify whether your video analytics infrastructure (edge devices, cloud platforms, data centers) is underutilized or operating at peak capacity, directly impacting solution pricing and return on investment.
- Supply chain and hardware dependency index – Helps pinpoint risks related to semiconductor availability, camera hardware sourcing, GPU dependencies, and regional manufacturing concentration that impact solution scalability.
- AI model deployment and accuracy benchmarking – Assess the pace of adoption of deep learning, facial recognition, object detection, and behavioral analysis models and help uncover gaps and opportunities for innovation.
- Use case intrusion analysis – Helps understand demand intensity across sectors such as smart cities, retail analytics, transportation, BFSI security, medical surveillance, industrial surveillance, etc.
- Competitive advantage and strategic positioning matrix – Helps assess the competitive position of leading AI video analytics providers based on technology maturity, geographic scope, partnerships, solution differentiation, and future growth pipeline.
About us:
SNS Insider is one of the leading market research and consulting agencies that dominates the global market research industry. Our goal is to provide our clients with the knowledge they need to function in changing conditions. We employ a variety of methodologies including global surveys, video talks, and focus groups to provide you with the most up-to-date and accurate market data, consumer insights, and opinions to help you make decisions with confidence.
