According to UnivDatos, rising security threats, increasing adoption of AI-powered surveillance and analytics, growing demand for real-time threat detection, expansion of smart infrastructure, regulatory compliance requirements, and rapid advancements in edge and cloud technologies are the major factors driving the growth of AI in physical security market. As per the “AI in Physical Security Market” report, the global market was valued at USD 43,588.62 million in 2024, growing at a CAGR of 7.43% during the forecast period from 2025 - 2033 to reach USD million by 2033.

AI in the physical security market is gaining traction as organizations increasingly prefer proactive risk mitigation, regulatory compliance, and strengthening workplace safety. AI-based systems improve situational awareness by detecting anomalies, identifying suspicious behavior, and triggering automated alerts before incidents escalate into major threats. In addition, growing regulatory requirements related to public safety, data protection, and critical infrastructure security are further driving investments in intelligent monitoring solutions. Furthermore, advancements in real-time analytics, biometric authentication, and edge computing technologies are enabling more secure, reliable, and efficient access control and surveillance frameworks across industries worldwide.

Structural Transformation Toward Decentralized Edge AI Processing Architectures

The structural transformation toward decentralized edge AI processing architectures is changing the AI in the physical security market. Companies are deploying AI capabilities directly at the edge, within cameras and on-site devices, rather than relying solely on centralized cloud or data center processing. For instance, in September 2025, Verkada introduced the AF64 Access Station Pro, an AI-based access control device featuring facial recognition, integrated camera analytics, and multi-credential authentication to improve secure and intelligent entry management. Additionally, Edge AI provides real-time video analytics, faster threat detection, and immediate response without latency from network transmission. Furthermore, it also reduces bandwidth consumption and lowers cloud storage costs by processing and filtering data locally. This decentralized architecture further strengthens data privacy and regulatory compliance, as sensitive footage can remain on-site.

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Strategic Acquisitions Fuel Growth in the Global AI in Physical Security Market

AI in the physical security market is seeing notable strategic consolidation and investment, as vendors are boosting AI analytics and automated monitoring. For example, in February 2025, Motorola Solutions acquired Blue Eye to enhance its AI-driven remote video monitoring and verification services. Similarly, in February 2026, ADT purchased OriginAI, broadening its AI sensing and ambient intelligence for home security. These acquisitions mirror a broader industry trend toward incorporating advanced AI to reduce false alarms, increase situational awareness, and offer additional services. Alongside ongoing partnerships and technological investments, these developments are transforming competitive dynamics, accelerating innovation, and underscoring the strategic role of AI-based solutions in modern security systems.

Strategic Evolution Driven by Edge AI and Industry Consolidation Propels Growth in the AI in Physical Security Market

AI in the physical security market is undergoing a significant structural and competitive transformation due to the adoption of decentralized edge AI and strategic consolidation. The growing deployment of edge-based processing architecture reflects enterprise demand for real-time analytics, strengthening data control, and cost-efficient operations. At the same time, increasing investments and partnerships focused on advanced analytics, automation, and intelligent sensing technologies are strengthening market competitiveness. Together, technological decentralization and targeted investments are reshaping competitive positioning, accelerating innovation cycles, and reinforcing AI’s role as a core enabler of scalable, intelligent, and resilient physical security ecosystems worldwide.

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