The AI in Video Surveillance Market is Valued USD 5.9 billion by 2024 and projected to reach USD 38.3 billion by 2032, growing at a CAGR of CAGR of 23.10% During the Forecast period of 2025-2032.
The Latest Market Research report on “Global AI in Video Surveillance Market Report 2025 – Future Opportunities, Latest Trends, In-Depth Analysis, and Forecast to 2032” provides strategic insights into the global AI in Video Surveillance market, including market size estimates (Volume – Million Units, Revenue – US$ Billion) for the period 2025 to 2032. This comprehensive study analyzes multiple market segments based on type and application, while also exploring different geographical regions. Additionally, the report features competitive profiling of leading AI in Video Surveillance vendors, highlighting their latest advancements.
The study not only examines current market trends but also forecasts future trends that will shape demand. Year-on-year growth rates are provided for each market segment. Moreover, the report evaluates the production landscape, covering raw material costs, technology expenses, labor costs, and overall cost analysis for the AI in Video Surveillance market.
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Key Companies & Market Insights
Companies are implementing various strategies, such as strategic alliances, market forecast, partnerships, mergers and acquisitions, geographical expansion, and product/service launches, to enhance their presence in the industry.
Genetec, Inc., Hangzhou Hikvision Digital Technology Co., Ltd., Zhejiang Dahua Technology Co., Ltd., Avigilon Corporation (Motorola Solutions), NEC Corporation, Honeywell International Inc., CloudWalk Technology Co. Ltd., Panasonic Holdings Corporation, Huawei Technologies Co., Ltd., Corsight AI and s. and Other…
Market Dynamics
Drivers:
Increased demand for security: The growing need for surveillance in public spaces, commercial buildings, and critical infrastructure is driving the adoption of AI in video surveillance.
Advances in AI and deep learning: AI-powered systems can analyze large volumes of video data in real-time, detecting anomalies and potential threats without human intervention.
Cost reduction in human labor: AI-driven surveillance can reduce the need for human security personnel by automating threat detection and response.
Restraints:
Privacy concerns: There are significant concerns about the surveillance of individuals without consent, especially in areas with stringent privacy laws.
Integration with legacy systems: Many existing surveillance systems were not designed with AI capabilities in mind, requiring expensive upgrades or complete replacements.
Challenges:
False positives: AI systems may mistakenly flag non-threatening activity as suspicious, leading to unnecessary interventions and resource allocation.
Data overload: Surveillance systems generate vast amounts of data, and sifting through all of it to find meaningful insights can overwhelm AI models and human operators.
Opportunities:
Proactive threat detection: AI can enhance video surveillance by detecting potential threats, such as unusual behavior, intrusion, or equipment tampering, in real-time.
Smart city applications: AI-driven surveillance can be integrated into smart city infrastructure, improving public safety and monitoring urban environments.
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AI in Video Surveillance Industry Segmentation:
Market Digits Group provides an analysis of the key trends in each segment of the global AI in Video Surveillance market, along with forecasts at the global and regional levels from 2025-2032.
By Deployment Type
On-premise
Cloud-based
By Offering
Hardware
AI Cameras
Storage Devices
Servers
Monitors
Software
AI Video Management
AI-driven Video Analytics
Services
Video Surveillance as a Service
Installation & Maintenance
By Vertical
Commercial
Infrastructure
Public Facility
Military & Defense
Residential
Industrial
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Report Content Brief:
– High-level analysis of the current and future AI in Video Surveillance Market trends and opportunities
– Detailed analysis of current market drivers, restraining factors, and opportunities in the future
– AI in Video Surveillance Market historical market size for the year 2020, and forecast from 2025 to 2032
– AI in Video Surveillance Market share analysis at each product level
– Competitor analysis with detailed insight into its product segment, Government & Defense strength, and strategies adopted.
– Identifies key strategies adopted including product launches and developments, mergers and acquisitions, joint ventures, collaborations, and partnerships as well as funding taken and investment done, among others.
– To identify and understand the various factors involved in the global AI in Video Surveillance Market affected by the pandemic
– To provide a detailed insight into the major companies operating in the market. The profiling will include the Government & Defense health of the company’s past 2-3 years with segmental and regional revenue breakup, product offering, recent developments, SWOT analysis, and key strategies.
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