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Image of industry: Logistics

Logistics

Overview

Your shopping packages, deliveries and online groceries all move through Singapore's logistics industry. Through this industry, Singapore connects supply chains and moves goods across Asia and beyond.

About industry

This industry manages how goods are transported, stored, and delivered to their destinations. You could work in warehouse operations, freight coordination, customs clearance, customer service, or supply chain management. Singapore's world-class seaports and air cargo facilities attract major global logistics firms to set up base here. It is a fast-moving, technology-driven industry that contributes to the global economy.
Industry illustration
Industry illustration

Industry facts

  1. 01

    Singapore connects to 600 ports across 123 countries through 200 shipping lines. We're also in close proximity to half the world's population in Asia Pacific, making us a global logistics hub.
  2. 02

    PSA Singapore handles 37 million container units annually as the world's busiest port, with Tuas Port expanding to 65 million units by the 2040s.
  3. 03

    Most of the top 25 global logistics companies operate in Singapore.

Automation Reshaping Warehouse Operations

Robots, automated storage systems, and AI-powered tools increasingly handle inventory counting, order fulfilment, and route optimisation in warehouses. This reduces manual work but creates demand for those who can manage these systems. It would be beneficial to be able to work alongside technology in the evolving logistics workforce.

Data Driving Smarter Supply Chains

Logistics companies use big data and real-time tracking to improve how goods are managed and delivered. Singapore's Trade Data Exchange connects supply chain partners through shared data, reducing paperwork and decision time. This creates demand for data analysts, data scientists, and tech-savvy logistics professionals.

New Tech Roles Emerging in Logistics

As AI, machine learning, and robotics become the norm, new roles are emerging. You may work as machine learning engineers, data scientists, and solution architects alongside traditional operations staff. The industry increasingly values digital skills as much as operational ones, creating exciting hybrid career opportunities.
Industry illustration

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