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サプライチェーン・ロジスティクス部門における動向・予測:主要テーマ別 (〜2030年)

Supply Chain Thematic Viewpoints, Forecast to 2030

発行 Frost & Sullivan 商品コード 760909
出版日 ページ情報 英文 95 Pages
納期: 即日から翌営業日
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本日の銀行送金レート: 1USD=110.91円で換算しております。
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サプライチェーン・ロジスティクス部門における動向・予測:主要テーマ別 (〜2030年) Supply Chain Thematic Viewpoints, Forecast to 2030
出版日: 2018年12月17日 ページ情報: 英文 95 Pages
概要

人工知能、自動技術、デジタルプラットフォーム、ブロックチェーンなどの主要テーマがサプライチェーン・輸送・ロジスティクス部門におけるイノベーションを推進し、新たなビジネスモデル、新たな市場機会を創出しています。

当レポートでは、人工知能、自動技術、デジタルプラットフォーム、ブロックチェーンなどの新興技術がサプライチェーン・輸送・ロジスティクス部門にもたらす影響を調査し、技術概要、導入・利用事例、今後の市場機会などをまとめています。

第1章 エグゼクティブサマリー

第2章 イントロダクション

第3章 人工知能 (AI)

  • AIシステムの進化
  • AI技術の利用事例
  • マシンラーニングの用途
  • 主要参入事業者による商用AI技術
  • 主要産業におけるAIの導入
  • AIスタートアップ企業の分布:地域別
  • 輸送・ロジスティクス部門における主要成長動向
  • 5-10カ年動向・市場機会タイムライン
  • 輸送・ロジスティクス部門における市場機会

第4章 自動オペレーション

  • 自動技術
  • 自動ロボット
  • 自動運転商用車
  • 自動ドローン
  • オートメーションへの対応度:地域別
  • ドローン関連法規制:地域別
  • 輸送・ロジスティクス部門における主要成長動向
  • 5-10カ年動向・市場機会タイムライン
  • 自動オペレーション
  • 屋内ロジスティクス
  • 長距離輸送
  • ラストマイルデリバリー
  • 自動インフラ

第5章 デジタル貨物取扱い

  • デジタル貨物取扱いの進化
  • 不十分な道路貨物キャパシティの活用
  • 道路貨物市場
  • 貨物市場のデジタル化
  • デジタル貨物取扱いのエコシステム
  • 海上貨物取扱い
  • 地域的取り組み
  • 輸送・ロジスティクス部門における主要成長動向
  • 5-10カ年動向・市場機会タイムライン
  • デジタル貨物取扱いのビジネスモデル
  • ビジネスモデル
  • デジタル貨物取扱い:競合環境

第6章 ブロックチェーン

  • ブロックチェーン
  • ブロックチェーンの各種タイプ
  • ブロックチェーンの市場動向
  • フリート向けブロックチェーン
  • 地域的取り組み:ブロックチェーンスタートアップ企業のエコシステム
  • 輸送・ロジスティクス部門における主要成長動向
  • 5-10カ年動向・市場機会タイムライン
  • ブロックチェーンの各種用途
  • 免責事項

第7章 付録

目次
Product Code: K334-MT

Key Themes Driving Innovation, New Business Models and Creating New Opportunities in the Supply Chain

Technological revolutions in the logistics space have resulted in minimizing the current complexities and creating new opportunities for value-chain participants. Key future themes, including artificial intelligence, autonomous technologies, digital platforms and Blockchain are expected to create much disruption in the value chain and give rise to new participants, business models, and disintermediation among others. From self-running trucks to automated contracts, the supply chain is ripe for innovation. This is expected to create much disruption in the value chain and give rise to new business models and, potentially, even lead to disinter-mediation 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 into 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 research service offers a detailed analysis on each of these thematic viewpoints with timelines of impact, empirical evidence, and key participants to watch out for that 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 a regulatory and commercial perspective; also spot how they are 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. INTRODUCTION

  • Introduction
  • Scope of Study
  • Scope of Study (continued)
  • Scope of Study (continued)
  • List of Definitions
  • List of Definitions (continued)
  • List of Definitions (continued)
  • List of Definitions (continued)
  • List of Definitions (continued)
  • List of Acronyms and Abbreviations

3. ARTIFICIAL INTELLIGENCE

  • Evolution of AI Systems
  • AI Technology Use Cases
  • Machine Learning Applications
  • Commercialized AI Technologies From Key Participants
  • Application of AI in Major Disrupted Industries
  • 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)

4. AUTONOMOUS OPERATIONS

  • 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-Long-haul Transportation (continued)
  • Logistics Applications-Last-mile Delivery
  • Logistics Applications-Last-mile Delivery (continued)
  • Logistics Applications-Autonomous Infrastructure
  • Logistics Applications-Autonomous Infrastructure (continued)

5. DIGITAL FREIGHT BROKERAGE

  • Digital Freight Brokerage Evolution
  • Road Freight Capacity Utilization Inefficiency
  • Road Freight Market
  • Digitalization of Freight Marketplace
  • Digital Freight Brokerage Ecosystem
  • Ocean Freight Brokerage
  • Geographic 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
  • Digital Freight Brokerage Business Models
  • Business Models
  • Business Models (continued)
  • Digital Freight Brokerage-Competitive Landscape

6. BLOCKCHAIN

  • Blockchain
  • Types of Blockchain
  • Blockchain Market Trends
  • Blockchain for Fleets
  • Geographic Activity-Blockchain Start-up 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

7. APPENDIX

  • List of Exhibits
  • List of Exhibits (continued)
  • References
  • References (continued)
  • References (continued)
  • References (continued)
  • References (continued)
  • References (continued)
  • References (continued)
  • References (continued)
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