Designed to make market research more actionable and strategically valuable, The Business Research Company’s 2026 market reports feature market attractiveness scoring, total addressable market sizing, company benchmarking matrices, interactive Excel dashboards, deeper supply chain intelligence, emerging startup tracking, and granular product-level insights.
What Is The Projected CAGR Of The Artificial Intelligence (AI) In Video Surveillance Market Through 2030?
The market size for artificial intelligence (AI) in video surveillance has seen substantial expansion over recent years. Forecasts suggest it will rise from $6.76 billion in 2025 to $8.16 billion in 2026, achieving a compound annual growth rate (CAGR) of 20.7%. The historical increase can be attributed to the expansion of CCTV and surveillance infrastructure, advances in video analytics algorithms, a heightened demand for public safety, the incorporation of AI processors in security devices, and the increasing integration of cameras with IT networks.
The artificial intelligence (AI) in video surveillance market is projected to experience substantial expansion in the coming years. It is anticipated to reach $17.48 billion in 2030, demonstrating a compound annual growth rate (CAGR) of 21.0%. This market’s growth during the forecast period can be attributed to factors such as the expansion of cloud-based video management systems (VMS), the integration of AI with IoT-enabled cameras, the adoption of predictive security solutions, the development of advanced facial recognition software, and the increased use of surveillance in industrial and commercial applications. Prominent trends expected in this period include AI-powered facial recognition, anomaly detection and behavior analysis, real-time video analytics, cloud-based video management solutions, and smart perimeter and object detection.
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Artificial Intelligence (AI) In Video Surveillance Market Demand Analysis: The Driving Force Behind Expansion
The expansion of smart city projects is anticipated to drive the advancement of artificial intelligence (AI) in the video surveillance market in the future. These initiatives involve leveraging technology, data, and innovative approaches to enhance urban quality of life, sustainability, and operational efficiency. Such initiatives can considerably boost the potential of artificial intelligence (AI) in video surveillance, offering a linked infrastructure and abundant data for analytical purposes. As an example, data from September 2024, published by the Organisation for Economic Co operation and Development (OECD), a France-based organization, indicates that investments in AI for smart cities are forecast to increase from USD 37.4 billion in 2023 to USD 164 billion by 2030. Consequently, the expansion of smart city initiatives is fueling the progress of artificial intelligence (AI) in the video surveillance market.
Breaking Down The Artificial Intelligence (AI) In Video Surveillance Market By Segment
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
Top Trend Influencing The Artificial Intelligence (AI) In Video Surveillance Market Outlook
Leading companies within the artificial intelligence (AI) in the video surveillance market are introducing advanced products, such as compact dual-lens cameras, to strengthen surveillance capabilities. These compact dual-lens cameras utilize two lenses to offer wide-angle imaging while retaining a small, subtle form factor, making them highly suitable for security purposes. For example, in April 2024, Hangzhou Hikvision Digital Technology Co. Ltd., a China-based video surveillance equipment firm, released the subsequent generation Turbo HD 8.0, signifying a notable progression in audio-visual integration. This product line integrates several sophisticated security functionalities, including two-way audio for instant communication, compact dual-lens cameras equipped with 180-degree stitching technology, and Smart Hybrid Light for improved low-light visibility. Additionally, the PowerX DVR with AcuSense combines facial recognition and motion detection, underscoring Hikvision’s dedication to innovation in security solutions.
Artificial Intelligence (AI) In Video Surveillance Market Competitive Landscape And Major Players
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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Where Is The Artificial Intelligence (AI) In Video Surveillance Market Largest? Key Regional Insights
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.
