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아시아의 물류 혁신 : 예측(-2030년)

Asian Innovations in Logistics, Forecast to 2030

리서치사 Frost & Sullivan
발행일 2018년 12월 상품 코드 769483
페이지 정보 영문 95 Pages
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US $ 6,000 ₩ 7,087,000 Web Access (Regional License) help
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아시아의 물류 혁신 : 예측(-2030년) Asian Innovations in Logistics, Forecast to 2030
발행일 : 2018년 12월 페이지 정보 : 영문 95 Pages

아시아의 물류(Logistics) 시장에 대해 조사했으며, 물류 시장을 변화시키는 주요 기술 동향(인공지능(AI), 자율 기술, 블록체인), 이러한 기술이 어떻게 새로운 공급망 모델을 가져오는지, 이러한 기회를 수익화하기 위한 수단 등에 대해 분석했습니다.

제1장 주요 요약

제2장 인공지능(AI)

  • 인공지능(AI)
  • 주요 시장 진출기업의 상품화된 인공지능(AI) 기술
  • 지역 활동 : AI 스타트업 기업의 분포
  • 주요 동향 : 운송 및 물류
  • 5-10년간 동향 기회 타임라인
  • 운송 및 물류에서의 주요 기회

제3장 자율 기술

  • 자율 기술
  • 자율 로봇
  • 상용 자율주행차
  • 자율주행 드론
  • 지역 활동 : 자동화 준비 지수(Automation Readiness Index)
  • 지역 활동 : 드론 기사
  • 주요 동향 : 운송 및 물류
  • 5-10년간 동향 기회 타임라인
  • 자동 오퍼레이션
  • 물류 애플리케이션 : 실내 물류
  • 물류 애플리케이션 : 장거리 운송
  • 물류 애플리케이션 : 라스트마일 배송
  • 물류 애플리케이션 : 자동 인프라
  • 자동 기술 영향

제4장 디지털 화물 운송 연결

  • 비효율적인 도로 화물의 가동률
  • 디지털 화물 운송 연결
  • 지역 활동 : 물류 활동
  • 주요 동향 : 운송 및 물류
  • 5-10년간 동향 기회 타임라인
  • 비지니스 모델
  • 경쟁 상황

제5장 블록체인

  • 블록체인
  • 플릿용 블록체인
  • 지역 활동 : 블록체인 생태계
  • 주요 동향 : 운송 및 물류
  • 5-10년간 동향 기회 타임라인
  • 블록체인 애플리케이션
  • 면책사항

제6장 부록

LSH 19.01.28

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 Frost & Sullivan research.

Table of Contents

1. EXECUTIVE SUMMARY

  • 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
  • Key Trend Levers for Transportation and Logistics (continued)
  • Key Trend Levers for Transportation and Logistics (continued)
  • 5-10 Year Trend Opportunity Timeline
  • Key Opportunities in Transportation and Logistics
  • Key Opportunities in Transportation and Logistics (continued)
  • Key Opportunities in Transportation and Logistics (continued)

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
  • Key Trend Levers for Transportation and Logistics (continued)
  • Key Trend Levers for Transportation and Logistics (continued)
  • 5-10 Year Trend Opportunity Timeline
  • Autonomous Operations
  • Logistics Applications-Indoor Logistics
  • Logistics Applications-Indoor Logistics (continued)
  • Logistics Applications-Indoor Logistics (continued)
  • Logistics Applications-Long-haul Transportation
  • Logistics Applications-Long-haul Transportation (continued)
  • Logistics Applications-Last-mile Delivery
  • Logistics Applications-Last-mile Delivery (continued)
  • Logistics Applications-Autonomous Infrastructure
  • Logistics Applications-Autonomous Infrastructure (continued)
  • 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
  • Key Trend Levers for Transportation and Logistics (continued)
  • Key Trend Levers for Transportation and Logistics (continued)
  • 5-10 Year Trend Opportunity Timeline
  • Business Models
  • Business Models (continued)
  • Business Models (continued)
  • Digital Freight Brokerage-Competitive Landscape

5. BLOCKCHAIN

  • Blockchain
  • Blockchain for Fleets
  • Geographic Activity-Blockchain Ecosystem
  • Key Trend Levers for Transportation and Logistics
  • Key Trend Levers for Transportation and Logistics (continued)
  • Key Trend Levers for Transportation and Logistics (continued)
  • 5-10 Year Trend Opportunity Timeline
  • Blockchain Applications
  • Blockchain Applications (continued)
  • Blockchain Applications (continued)
  • 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-GreyOrange (continued)
  • 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-AI (continued)
  • References-Autonomous
  • References-Autonomous (continued)
  • References-Autonomous (continued)
  • References-Autonomous (continued)
  • References-Blockchain
  • References-Blockchain (continued)
  • List of Exhibits
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