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Trend Opportunity Profile Series—Supply Chain (3rd Edition)

Publisher Frost & Sullivan
Published Aug 22, 2025
SKU # MC20334550

Description

The Trend Opportunity Profiles Series identifies specific opportunities emerging from future trend evolutions. It is designed to help clients discover and prioritize the most consequential medium-to-long-term trends that are continually transforming their business’s growth environment. The series covers 9 key industries: Supply chain and logistics; industrial; food and agriculture; security; information and communication technology (ICT); health, medical devices, and life sciences; retail; fast-moving consumer goods (FMCG); and mobility.

This edition features new business models to achieve supply chain and logistics efficiency by using technologies like artificial intelligence (AI), machine learning (ML), and blockchain. Additionally, it focuses on cybersecurity, analytics, localization, and sustainability. The report also emphasizes the impact of the recent tariffs implemented by the United States government and the action points for supply chain and logistics companies to build supply chain resilience while reducing concentrated dependency on certain geographies.

The Trend Opportunity Profiles Series also covers a range of companies, from multinational organizations to start-ups, that work actively to build on these trends and achieve a competitive advantage. Additionally, it offers a set of exemplary case studies that represent the strategies and trends adopted by companies to draw benefits that will transform the business ecosystem.

Table of Contents

    • Automated Material Handling Technologies
    • Supply Chain Cybersecurity
    • Digital Pharmaceutical Supply Chain Management
    • Digital Pharmaceutical SCM
    • Green logistics
    • Localization of Automotive Supply Chains
    • Reverse Logistics
    • Supply Chain Analytics
    • Scoring Parameters: Disruption Index
    • Scoring Parameters: Growth Index
    • Growth Opportunity 1: Collaborative Robotics for Automated Material Handling

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