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Asian Innovations in Logistics, Forecast to 2030

  • ID: 4733450
  • Report
  • December 2018
  • Region: Global, Asia Pacific
  • 95 Pages
  • Frost & Sullivan
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Key Themes Driving Innovation, New Business Models, and Creating New Opportunities in the Supply Chain

Innovations in logistics are aplenty with APAC fueling a lot of this activity from its home ground. From self-running trucks to automated contracts, the supply chain is ripe for innovation and homegrown APAC start-ups are plowing the way.

The market is seeing the rise of these new breed of participants along key future themes, including artificial intelligence, autonomous technologies, digital platforms, and Blockchain. This is expected to create a lot of disruption in the value chain and give rise to new business models and potentially even lead to disintermediation within the supply chain.

For instance, the industry is making a conscious shift from asset-centric models to more digital asset-light approaches, enabling new types of services such as on-demand, real-time, and agile last-mile delivery solutions suited for the uncertain nature of the urban supply chain.

Looking ahead to the future, autonomous technologies such as drones and autonomous trucks are also expected to plough the road, as they drive efficiency through cost savings from less fuel consumption. Approximately 200,000 trucks are expected to be making autonomous deliveries by 2030.

Blockchains will introduce more trust and transparency into the supply chain improving business process agility. Finally, artificial intelligence approaches will lend new cognitive capabilities to moving and thinking assets in the supply chain.

Research Highlights

This study offers a detailed analysis on each of these thematic viewpoints with timelines of impact, empirical evidence, and key participants to watch to benefit from these revolutionary transitions. Discover how these segments are disrupting the market:

Digital freight brokerage: Trace the trend of “Uberization of logistics” based on crowdsourcing and shared economy models.

Artificial intelligence: Gain an insight into when the technology will become mainstream from regulatory and commercial perspectives; also spot how it is being used for last-mile connectivity and enabling new agile business models in the supply chain.

Autonomous fleet: From mobile autonomous forklifts to autonomous trucks, understand why the logistics industry is focusing on this segment.

Blockchain: Identify ways in which the technology is being used to enable contractual relationships.

Key Issues Addressed

  • Which are the major technology trends disrupting the logistics space?
  • How are these technologies giving rise to new supply chain models?
  • What are the implications of these themes on the supply chain?
  • What drivers and levers should be tracked to monetize these opportunities?

Discover how these trends are disrupting the market and the traditional industry’s business model with this research.

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1. Executive Summary

2. Artificial Intelligence

  • Artificial Intelligence
  • Commercialized AI Technologies From Key Participants
  • Geographic Activity-AI Start-up Distribution
  • Key Trend Levers for Transportation and Logistics
  • 5–10 Year Trend Opportunity Timeline
  • Key Opportunities in Transportation and Logistics

3. Autonomous Technologies

  • Autonomous Technologies
  • Autonomous Robots
  • Autonomous Commercial Vehicles
  • Autonomous Drones
  • Geographic Activity-Automation Readiness Index
  • Geographic Activity-Drone Regulation
  • Key Trend Levers for Transportation and Logistics
  • 5–10 Year Trend Opportunity Timeline
  • Autonomous Operations
  • Logistics Applications-Indoor Logistics
  • Logistics Applications-Long-haul Transportation
  • Logistics Applications-Last-mile Delivery
  • Logistics Applications-Autonomous Infrastructure
  • Autonomous Technology Impact

4. Digital Freight Brokerage

  • Road Freight Capacity Utilization Inefficiency
  • Digital Freight Brokerage
  • Geographic Activity-Logistics Activity
  • Key Trend Levers for Transportation and Logistics
  • 5–10 Year Trend Opportunity Timeline
  • Business Models
  • Digital Freight Brokerage-Competitive Landscape

5. Blockchain

  • Blockchain
  • Blockchain for Fleets
  • Geographic Activity-Blockchain Ecosystem
  • Key Trend Levers for Transportation and Logistics
  • 5–10 Year Trend Opportunity Timeline
  • Blockchain Applications
  • Legal Disclaimer

6. Appendix

  • Artificial Intelligence Case Study-Ele.me
  • Artificial Intelligence Case Study-Locus and Blue Dart
  • Autonomous Technology Case Study-Infinium Robotics
  • Autonomous Technology Case Study-GreyOrange
  • Autonomous Technology Case Study-Systemantics India
  • Digital Freight Brokerage Case Study-Lalamove
  • Digital Freight Brokerage Case Study-Quifers
  • Blockchain Case Study-Sofocle
  • Blockchain Case Study-TBSx3
  • Blockchain Case Study-VeChain and DB Schenker
  • Blockchain Case Study-LuxTag
  • References-AI
  • References-Autonomous
  • References-Blockchain
  • List of Exhibits
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