BACKGROUND

To establish a persistent, 24/7 surveillance shield over 100% of Jurong Port’s vast land and sea perimeter using autonomous systems. The objective is to amplify the effectiveness of our security force, reduce long-term operational costs, and cut alarm response times to under one minute for any point on the perimeter.

SIGNIFICANCE OF PROBLEM

Managing the safety, security, and deconflicting autonomous systems operating alongside heavy machinery, vessels, and personnel is a major challenge for ports. Dealing with the intersection of fully autonomous systems—such as automated cranes, and autonomous surface vessels—with manually operated heavy machinery and human personnel creates a highly dynamic “mixed-autonomy” environment. Deconflicting these assets while ensuring security is one of the maritime and port sectors’ most pressing operational challenges.

POTENTIAL MARKET SIZE

While the individual hardware markets are vast, a solution that seamlessly integrates all three domains (Sea, Air, Ground) into a single Command and Control (C2) AI dashboard addresses a highly specialized, premium niche within the smart port ecosystem.

The Total Addressable Market (TAM) for integrated multi-domain autonomous port surveillance is estimated to be between USD 500 million and USD 850 million in 2026.

This valuation is expected to grow aggressively at a CAGR of roughly 15% to 18%, potentially surpassing USD 1.5 billion by 2030. This growth is driven by terminal operators seeking to offset rising manual security labour costs, lower their insurance premiums through certified robotic monitoring, and secure massive, complex port perimeters that static CCTV networks simply cannot cover.

EXISTING EFFORTS

A central operator manages a fleet of autonomous systems. AGVs patrol the fence, while a drone system automatically deploys to investigate alerts. On the water, Unmanned Surface Vessels conduct patrols, creating an active maritime defence layer. Humans are elevated to roles of tactical oversight and rapid response.

Gaps remain for solutions with robust autonomous navigation, obstacle avoidance, and automated charging/docking capabilities. Full integration of robot sensor data (e.g., video, thermal). For example, autonomous robot patrols, AGVs, USVs with proven surveillance and patrol capabilities.