AI in Video Surveillance Market Outlook: Growth, Trends, and Future Opportunities

The global AI in video surveillance market size was valued at USD 5.64 billion in 2024. The market is projected to grow from USD 6.26 billion in 2025 to USD 18.33 billion by 2032, exhibiting a CAGR of 16.6% during the forecast period. North America dominated the AI in video surveillance market with a market share of 36.87% in 2024.

The AI in Video Surveillance Market is witnessing rapid expansion as artificial intelligence transforms conventional surveillance systems into intelligent, data-driven security solutions. AI integration enables real-time threat detection, behavioral analysis, and automated decision-making, making video surveillance more efficient, accurate, and proactive. Growing security concerns, smart city development, and advancements in AI technologies are significantly driving market growth.

LIST OF KEY AI IN VIDEO SURVEILLANCE COMPANIES PROFILED

Axis Communications AB (Sweden)

Bosch Security Systems (Germany)

Genetec, Inc. (Canada)

Gorilla Technology Group (London)

Honeywell International Inc. (U.S.)

Motorola Solutions, Inc. (U.S.)

Eagle Eye Networks (U.S.)

Hangzhou Hikvision Digital Technology Co. (China)

PureTech Systems (U.S.)

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Market Overview

Artificial intelligence in video surveillance leverages technologies such as machine learning, deep learning, and computer vision to analyze video feeds automatically. Unlike traditional CCTV systems that rely heavily on human monitoring, AI-powered surveillance systems can identify suspicious activities, recognize faces and objects, and generate instant alerts. These capabilities are fueling adoption across public infrastructure, commercial facilities, transportation hubs, and industrial sites.

The market is experiencing strong growth as organizations seek advanced security solutions that can handle large volumes of video data while reducing operational costs and human error.

Key Market Drivers

Rising Security and Safety Concerns

Increasing crime rates, terrorism threats, and unauthorized access incidents have accelerated demand for intelligent surveillance systems. Governments and private organizations are investing in AI-enabled video surveillance to enhance public safety, monitor critical infrastructure, and improve emergency response capabilities.

Advancements in Artificial Intelligence Technologies

Continuous improvements in AI algorithms, computer vision, and deep learning models have significantly enhanced video analytics accuracy. Features such as facial recognition, anomaly detection, and predictive analytics are improving surveillance effectiveness across multiple applications.

Growth of Smart Cities

Smart city initiatives worldwide are boosting the adoption of AI-based video surveillance for traffic monitoring, crowd management, law enforcement, and urban planning. Intelligent surveillance systems support data-driven decision-making and improve operational efficiency in urban environments.

Market Segmentation Analysis

By Component

The market is segmented into hardware, software, and services. AI-enabled cameras dominate the segment due to their ability to process data at the source and deliver real-time insights. Software solutions are also gaining traction as analytics platforms become more advanced and customizable.

By Deployment Mode

On-premises deployment holds a significant market share due to data security and low-latency requirements. However, cloud-based and hybrid deployment models are witnessing rapid growth due to scalability, remote accessibility, and cost efficiency.

By Technology

Computer vision leads the market as it forms the foundation of video analytics applications. Deep learning and machine learning technologies are increasingly adopted to enhance pattern recognition, object detection, and behavioral analysis.

By Application

Intrusion detection represents a major application segment, driven by the need to secure commercial and industrial facilities. Other key applications include facial recognition, license plate recognition, motion detection, and crowd analytics.

By End-User

Government and public sector organizations are the largest end-users due to large-scale surveillance needs in public safety and law enforcement. Commercial enterprises, transportation authorities, and industrial facilities are also increasing investments in AI-based surveillance solutions.

Regional Insights

North America holds a dominant position in the AI in video surveillance market due to early adoption of advanced technologies and strong investments in security infrastructure. Europe follows closely, supported by smart city projects and stringent security regulations. The Asia Pacific region is expected to witness the fastest growth, driven by rapid urbanization, expanding smart city initiatives, and increasing government investments in public safety.

Market Challenges

Despite strong growth prospects, the market faces challenges related to data privacy, cybersecurity risks, and regulatory compliance. AI-enabled surveillance systems generate vast amounts of sensitive data, making them potential targets for cyberattacks. Ensuring data protection and ethical AI usage remains a critical concern for market participants.

Emerging Trends

Increasing adoption of cloud-based video surveillance services

Growing use of edge AI for real-time processing and reduced latency

Integration of advanced analytics for predictive security insights

Expansion of AI surveillance applications beyond security into operations and analytics

Competitive Landscape

The market is moderately competitive, with leading companies focusing on innovation, product upgrades, and strategic partnerships. Key players are investing heavily in AI research to enhance analytics capabilities and improve system accuracy while ensuring compliance with data protection standards.

KEY INDUSTRY DEVELOPMENTS

October 2025: Toshiba Electronics Europe launched the S300 AI, a new generation of surveillance hard drives built for AI-driven video applications. Available in capacities ranging from 8 TB to 24 TB, the drives offer high capacity, speed, and durability for continuous, large-scale video recording and AI analytics.

October 2025: Fujitsu and ARYA Inc. co-developed an AI-powered video surveillance solution that uses Fujitsu’s video analytics AI and ARYA’s geospatial AI to detect and map suspicious behavior in real time. The system can track individuals across multiple camera feeds and provide location-based alerts, enabling faster and more effective responses.

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Conclusion

The AI in Video Surveillance Market is set for strong growth over the forecast period, driven by rising security concerns, technological advancements, and expanding smart city initiatives. As AI capabilities continue to evolve, video surveillance systems will become more intelligent, automated, and integral to modern security infrastructure across industries.