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Artificial Intelligence (AI) In Video Surveillance Market Value Analysis: What Growth Is Expected Over The Forecast Period?
Recent years have witnessed substantial growth in the size of the artificial intelligence (AI) in video surveillance market. It is anticipated to increase from $6.76 billion in 2025 to $8.16 billion in 2026, exhibiting a compound annual growth rate (CAGR) of 20.7%. This historical expansion can be linked to the rise of cctv and surveillance infrastructure, significant advancements in video analytics algorithms, an escalating demand for public safety, the incorporation of AI processors into security devices, and the increasing integration of cameras with it networks.
The artificial intelligence (AI) in video surveillance market is projected to experience substantial growth in the coming years, with its size expected to reach $17.48 billion by 2030, achieving a compound annual growth rate (CAGR) of 21.0%. This forecasted expansion is primarily attributed to the increased deployment of cloud-based video management systems (VMS), the integration of AI with IoT-enabled cameras, wider adoption of predictive security solutions, continuous development of advanced facial recognition software, and a general growth in industrial and commercial surveillance applications. Significant trends expected during this period include AI-powered facial recognition, sophisticated anomaly detection and behavior analysis, real-time video analytics, cloud-based video management solutions, and advanced smart perimeter and object detection systems.
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#Artificial Intelligence (AI) In Video Surveillance Market Growth Drivers And Industry Catalysts
The expansion of smart city initiatives is anticipated to accelerate the uptake of artificial intelligence (AI) within the video surveillance market in the future. These initiatives involve employing technology, data, and new ideas to better urban living standards, environmental sustainability, and operational effectiveness. By offering interconnected infrastructure and extensive data for examination, smart city projects considerably boost the effectiveness of artificial intelligence (AI) in video surveillance. As an illustration, in September 2024, the Organisation for Economic Co operation and Development (OECD), a France-based organization, reported that investment in AI for smart cities is expected to increase from USD 37.4 billion in 2023 to USD 164 billion by 2030. Consequently, the rising number of smart city initiatives is fostering the development of artificial intelligence (AI) in the video surveillance market.
Artificial Intelligence (AI) In Video Surveillance Market Categorization By Product Type And Application
The artificial intelligence (AI) in video surveillance market covered in this report is segmented –
1) By Offering: Hardware, Software, Service
2) By Deployment Mode: On-Premises, Cloud-Based
3) By Use Cases: Gun Detection, Anomaly Detection And Behavior Recognition, Facial Recognition Or Person Search, Object Detection And Perimeter Protection, Intrusion Detection And Perimeter Protection, Smoke And Fire Detection, Traffic Flow Analysis Or Accident and Traffic Incident Detection, False Alarm Filtering, Other Use Cases
4) By Vertical: Commercial, Residential, Infrastructure, Military And Defense, Public Facility, Industrial
Subsegments:
1) By Hardware: Cameras, Storage Devices, Processors
2) By Software: Video Analytics, Video Management Software (VMS), Facial Recognition Software
3) By Service: Installation And Integration, Maintenance And Support, Consulting Services
Artificial Intelligence (AI) In Video Surveillance Market Trends: What Is Shaping Future Industry Growth?
Leading companies in the artificial intelligence (AI) in the video surveillance market are developing innovative products, such as compact dual-lens cameras, to enhance surveillance capabilities. These compact dual-lens cameras utilize two lenses to provide wide-angle imaging while maintaining a small, discreet form factor, making them ideal for security purposes. For instance, in April 2024, Hangzhou Hikvision Digital Technology Co. Ltd., a China-based video surveillance equipment company, launched the next-generation Turbo HD 8.0, marking a significant advancement in audio-visual integration. This range introduces several advanced security features, including two-way audio for real-time communication, compact dual-lens cameras with 180-degree stitching technology, and Smart Hybrid Light for enhanced night vision. Additionally, the PowerX DVR with AcuSense integrates facial recognition and motion detection, highlighting Hikvision’s commitment to innovation in security solutions.
Artificial Intelligence (AI) In Video Surveillance Market Company Landscape And Strategic Competition
Major companies operating in the artificial intelligence (AI) in video surveillance market are Huawei Technologies Co. Ltd.; Panasonic Holdings Corporation; Hanwha Group; Honeywell International Inc.; Dahua Technology Co. Ltd.; NEC Corporation; IntelliVision; ZTE Corporation; Hangzhou Hikvision Digital Technology Co. Ltd.; Cisco Meraki; Avigilon Corporation; SenseTime; Genetec Inc.; Milestone Systems A/S; CloudWalk Technology Co. Ltd.; Eagle Eye Networks; Gorilla Technology; Clarifai; Corsight AI; YITU Tech; Agent Video Intelligence Ltd.; Simshine Intelligent Technology Co.Ltd
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Artificial Intelligence (AI) In Video Surveillance Market Regional Analysis And Leading Geography
Asia-Pacific was the largest region in the AI in video surveillance market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the artificial intelligence (AI) in video surveillance market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
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Wasay has over a decade of experience in market research, data modelling, and analytics, with prior experience at GlobalData and Decision Tree Consulting Services. At The Business Research Company , he leads research operations across syndicated studies, customized consulting engagements, and the Global Market Model platform. His professional experience includes supporting organizations such as Boston Consulting Group, KPMG, and Ernst & Young. Wasay holds a degree in Electronics and Communications Engineering, postgraduate management qualifications from International Management Institute Belgium and Indian School of Business and Entrepreneurship, and completed the Integrated Program in Business Analytics from Indian Institute of Management Indore.