AI in Video Surveillance Market - Global Forecast 2025-2032

Artificial intelligence is reshaping the global video surveillance landscape, enabling organizations to implement smarter, more integrated security solutions. Senior leaders across sectors are adopting AI-powered systems to automate threat detection and enhance operational resilience in complex, evolving environments.

Market Snapshot: AI in Video Surveillance Market

The AI in Video Surveillance Market is expanding steadily, currently valued at USD 4.17 billion in 2024 and expected to reach USD 4.82 billion by 2025. With a projected compound annual growth rate (CAGR) of 16.27%, the market is forecasted to achieve USD 13.94 billion by 2032. This growth is propelled by advancements in artificial intelligence algorithms and broader adoption of edge computing, which enable real-time analytics across commercial, government, industrial, and residential applications. As a result, organizations are seeking intelligent, insight-driven surveillance infrastructure to improve risk management and operational efficiency worldwide.

Scope & Segmentation: Comprehensive Coverage of AI-Driven Surveillance Solutions

This report delivers in-depth analysis of the entire value chain and major elements shaping the AI in Video Surveillance Market. It offers actionable insights for strategic planning, solution design, and technology investment.

• Components: Access control systems, high-definition cameras, monitoring equipment, storage devices, industry consulting, installation and maintenance services, AI-enabled edge devices, video analytics platforms, and integrated video management software.
• Technologies: Computer vision, deep learning, advanced machine learning models, natural language processing, and edge computing for streamlined, localized analytics.
• Modules: End-to-end data processing pipelines, automated event detection, real-time alerting, and analytics for both immediate response and historical review.
• Applications: Behavioral analytics, crowd management, traffic monitoring, facial recognition, object identification, and tracking to support proactive risk mitigation.
• End-Users: Commercial organizations, government agencies, industrial sites, and residential settings, each with distinct security, operational, and compliance considerations.
• Deployment Modes: Cloud-based deployment, on-premise solutions, and hybrid configurations to meet varying needs for flexibility and scalability.
• Regions: Americas, Europe, Middle East & Africa, and Asia-Pacific, each with region-specific compliance and investment drivers impacting system adoption and integration.
• Companies Profiled: Market leaders include Axis Communications, Canon, Agent Video Intelligence, AllGoVision Technologies, Avigilon (Motorola Solutions), Calipsa, Cognitec Systems, Dahua Technology, Digital Barriers, FLIR Systems, Genetec, Gorilla Technology Group, Hangzhou Hikvision, Hanwha Group, Honeywell International, Huawei, IC Realtime, Infinova, Intellivision Technologies, MOBOTIX, NEC, Panasonic, Robert Bosch, SenseTime, Sony, Turing AI, Verint Systems, Vivint, and VIVOTEK.

Key Takeaways for Executives

• Edge AI processing enhances data privacy and operational speed by analyzing video feeds locally, reducing dependency on centralized infrastructures.
• Deploying real-time analytics with automated alerting increases security incident response effectiveness, which is critical in complex or distributed environments.
• Hybrid cloud architectures provide seamless scalability and adaptability, supporting business continuity plans and regulatory alignment as organizational demands evolve.
• Partnerships between hardware and software suppliers allow companies to upgrade legacy systems incrementally, ensuring adaptability and future-readiness.
• Standardized APIs and modular system architectures simplify integration, supporting multi-vendor environments and enabling quick adaptation to emerging security threats.
• Different regional compliance mandates—such as Europe’s focus on privacy and accelerated infrastructure development in Asia-Pacific—necessitate tailored deployment and sourcing strategies.

Tariff Impact and Strategic Sourcing

The introduction of United States tariffs in 2025 has increased procurement and manufacturing expenses for AI-enabled video surveillance hardware. Organizations are adapting by diversifying supplier networks, evaluating domestic production sites, and reassessing sourcing policies. These initiatives are strengthening supply chain resilience and encouraging innovation in material selection and logistics, helping enterprises respond proactively to changing trade conditions.

Methodology & Data Sources

This report is based on direct interviews with industry experts and end users, combined with secondary research from regulatory filings, peer-reviewed literature, patents, and company disclosures. Stringent quantitative validation and data triangulation underpin the analytical rigor and reliability of the findings.

Why This Report Matters

• Provides actionable market intelligence for building secure, insight-driven video surveillance frameworks tailored to dynamic enterprise requirements.
• Supports evaluation of deployment and supply chain strategies by benchmarking evolving operational practices and scalability options.
• Illuminates region-specific market factors, clarifying how technology alliances and compliance requirements influence adoption priorities.

Conclusion

Continuous advancements in artificial intelligence are driving new benchmarks for organizational security. By embedding flexible, integrated AI-driven video surveillance systems, decision-makers can strengthen both security and operational performance across diverse settings.