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市場調查報告書

全球供應鏈物流動態、挑戰、對商用車市場的影響:2018-2025年

Global Supply Chain Logistics Trends and Challenges and Their Implications on CVs, 2018-2025

出版商 Frost & Sullivan 商品編碼 914945
出版日期 內容資訊 英文 110 Pages
商品交期: 最快1-2個工作天內
價格
全球供應鏈物流動態、挑戰、對商用車市場的影響:2018-2025年 Global Supply Chain Logistics Trends and Challenges and Their Implications on CVs, 2018-2025
出版日期: 2019年10月22日內容資訊: 英文 110 Pages
簡介

用於物流產業的各種破壞性技術不只改變了商用車市場的生態系統,也創造了因創新商業模式進化而產生的新需求。

本報告調查了全球供應鏈物流市場,並統整了市場定義與概要、對供應鏈物流帶來影響的大趨勢、主要物流技術及破壞性技術的概要、用途、供應價值、案例研究、使用案例、成長機會、成功策略分析等。

執行摘要

  • 物流的主要課題
  • 物流價值鏈的崩壞
  • 貨物運輸的新模式
  • 主要物流技術/動態的供應價值
  • 破壞性技術的匯流

調查範圍、市場區分

定義、分類

對供應鏈物流帶來影響的大趨勢

  • 對貨物運輸的影響
  • 對商用車市場的影響

電子商務的成長

  • 世界電子商務產業:概要
  • 電子商務物流價值鏈
  • 最後一哩物流
  • 創新:無人機
  • 跨境電子商務產業

供應鏈物流產業:概要

  • 物流的進化
  • 世界物流支出額
  • 主要地區:貨物運輸方式的細項分析
  • 貨物運輸方式的細項分析:產業別
  • 二氧化碳排放

供應鏈物流技術、動態:自動運輸

  • 物流部門的自動技術
  • 自動駕駛:概要
  • 長距離卡車的自動化的進步
  • 自動駕駛卡車的生態系統
  • 車隊運行(Platooning):階段I、II
  • 自動駕駛卡車:長距離Hub to hub
  • 自動駕駛的供應價值
  • 對自動駕駛商用車生態系統的影響
  • 成長預估

區塊鏈

  • 概述
  • 在電子商務的區塊鏈
  • 將區塊鏈引進商用車產業
  • 區塊鏈的供應價值
  • 對商用車生態系統的影響
  • 成長預估

資料分析

  • 大數據分析
  • 大數據的使用案例
  • 資料分析的用途:燃料成本的最佳化
  • 大數據分析的供應價值
  • 成長預估

IoT和電子通訊

  • 物流產業中的IoT
  • 運輸中的IoT:電子通訊
  • 電子通訊服務層級
  • 商用車中的電子通訊普及率
  • 運輸IoT的供應價值
  • 成長預估

都市區物流的典範轉移

  • 最後一哩物流的變化
  • 最後一哩創新導向新的商業模式
  • 配送無人機的預測
  • 配送機器人/雲端無人機
  • 配送機器人的使用案例
  • 飛行、地上無人機的比較
  • 飛行無人機的使用案例:零售、石油&天然氣等
  • 案例研究:UPS
  • 關注企業
  • 無人機投資與其他產業
  • 最後一哩物流創新的供應價值
  • 成長預估

破壞性技術的匯流:數位貨物運輸流通

  • 貨物流通解決方案類型
  • 數位貨物運輸流通:商業模式
  • 成長推動因素、實現技術
  • 主要投資、收購
  • 數位貨物運輸流通的供應價值
  • 成長預估

物流4.0

  • 與傳統型供應鏈生態系統的比較
  • 連網供應鏈的供應價值
  • 成長預估

成長機會、推薦行動

  • 成長機會
  • CV的策略必須條件

總論

附錄

目錄
Product Code: K39E-18

Disruptive Technologies in the Logistics Industry are Not Only Transforming the Commercial Vehicle (CV) Ecosystem But Also Creating Increased Demand with the Evolution of Innovative Business Models

The logistics industry is inundated with challenges which have given rise to disruptive technologies to overcome them. Key challenges faced by the supply chain logistics industry are:

  • (1) Increasing carbon footprint from transportation
  • (2) High level of transport vehicular emissions
  • (3) Lack of visibility in the supply value chain
  • (4) Increasing human capital expenses
  • (5) Increased urban restrictions which hinder the movement of freight in the urban environment.

The supply chain logistics industry is undergoing a transformation with the help of disruptive technologies such as autonomous transportation, Internet of Things (IoT) & telematics, data analytics and blockchain. Increasing supply chain complexity and service requirements are leading to innovations in last-mile delivery. These technologies and trends are shaping the commercial vehicle ecosystem as well to meet the new requirements.

Demand for electric and fuel cell vehicles will increase drastically in the long term, aided by technology development and incentive programmes addressing the emissions issue and a reduction in the dependence on fossil fuels used for transportation. A combination of technologies such as IoT, augmented reality (AR), artificial intelligence (AI), data analytics and blockchain is creating a connected supply chain with greater transparency which addresses critical issues such as low asset utilisation, empty miles and demand-supply mismatch. New business models have also evolved due to digital proliferation in the supply chain logistics industry. Growth of telematics services which aid driver comfort and behaviour addresses driver retention problems. Level 5 autonomy has the potential to completely eliminate driver costs; however, the impact of this will only be felt beyond 2030.

The convergence of disruptive technologies is enabling new concepts such as Digital Freight Brokerage, which not only optimises the brokerage process but also opens up new revenue streams and business opportunities. Logistics 4.0 is another concept which is enabled through the connectivity of the entire value chain. A connected supply chain, in addition to minimising the disruptions and associated losses, also maximises efficiency and throughput by improving operational KPIs.

Last-mile delivery is also undergoing a paradigm shift with the emergence of innovative business models. Usage of aerial drones and ground bots along with electric urban delivery vehicles is on the rise with a number of start-ups providing technologies in these areas. Light commercial vehicle (LCV) manufacturers are collaborating and partnering with technology companies and logistics providers on urban delivery innovations. Commercial vehicle OEMs are working double time towards bringing futuristic technologies more quickly. A number of collaborations within OEMs, technology providers and logistics companies are among the key strategies being adopted to stay relevant.

Table of Contents

Executive Summary

  • Key Challenges in Logistics
  • Disruptions in the Logistics Value Chain
  • New Modes of Freight Transport
  • Value Proposition of Key Logistics Technologies/Trends
  • Confluence of Disruptive Technologies

Research Scope and Segmentation

  • Research Scope
  • Research Aims and Objectives
  • Key Questions this Study will Answer
  • Research Background
  • Research Methodology
  • Partial List of Industry Participants

Definitions and Segmentation

  • Vehicle Segmentation

Mega Trends Impacting Supply Chain Logistics

  • Impact of Top Mega Trends on Freight Transportation
  • Impact of Top Mega Trends on the CV Market
  • Impact of Top Mega Trends on the CV Market (continued)
  • Impact of Top Mega Trends on the CV Market (continued)

Growth of eCommerce

  • Global eCommerce Industry-Overview
  • eCommerce Logistics Value Chain
  • Last-mile Deliveries Leading to New Types of Business Models
  • Innovations in eCommerce-Drone Delivery
  • Cross-border eCommerce Industry-Overview

Supply Chain Logistics Industry Overview

  • Logistics Evolution
  • Global Logistics Spending
  • Key Regions-Modal Split of Freight Transportation
  • Freight Transportation Modal Split in Key Industries
  • CO2 Emissions in Transportation
  • CO2 Emissions in Transportation (continued)

Supply Chain Logistics Technologies and Trends-Autonomous Transportation

  • Autonomous Technologies in Logistics
  • Autonomous Driving Overview
  • Progression of Automation in Long-Haul Trucks
  • Autonomous Truck Ecosystem
  • Platooning-Phase I and Phase II
  • Autonomous Trucking-Long-Haul Hub-to-Hub Application
  • Value Proposition of Autonomous Driving for Industry Stakeholders
  • Impact of Autonomous Driving on the CV Ecosystem
  • Growth Implications of Autonomous Transportation

Blockchain

  • Blockchain-Overview
  • Blockchain in eCommerce
  • Blockchain Application in the CV Industry
  • Value Proposition of Blockchain for Industry Stakeholders
  • Impact of Blockchain on the CV Ecosystem
  • Growth Implications of Blockchain

Data Analytics

  • Big Data Analytics in Logistics
  • Big Data Use Cases in Logistics
  • Application of Data Analytics in Logistics-Fuel Cost Optimisation
  • Value Proposition of Big Data Analytics on Industry Stakeholders
  • Growth Implications of Big Data-Data Monetisation

IoT and Telematics

  • IoT in the Logistics Industry
  • IoT in Transportation-Telematics
  • Levels of Telematics Services
  • Telematics Penetration in CVs
  • Value Proposition of IoT in Transportation
  • Growth Implications of IoT and Telematics

Paradigm Shift in Urban Logistics

  • Shift in Last-Mile Delivery
  • Last-mile Innovations Leading to New Business Models
  • Aerial Delivery Drones-Forecast
  • Delivery Bots/Ground Drones
  • Delivery Bots Use Cases
  • Comparison of Aerial and Ground Drones
  • Aerial Drone Use Case-Shipping/Retail/Oil & Gas
  • Case Study-Workhorse: UPS, Autonomous Cargo Delivery
  • Companies to Watch in Aerial Drone Delivery
  • Other Companies Investing in Aerial Drones
  • Value Proposition of Last-Mile Delivery Innovations on Industry Stakeholders
  • Growth Implications of Last-Mile Delivery Innovations on the CV Ecosystem

Convergence of Disruptive Technologies-Digital Freight Brokerage

  • Brokerage Solution Types
  • Digital Freight Brokerage Business Model
  • Key Drivers and Enabling Technologies
  • Key Acquisitions/Investments in 2018
  • Value Proposition of Digital Freight Brokerage on Industry Stakeholders
  • Growth Implications of Digital Freight Brokerage

Logistics 4.0

  • Logistics 4.0 Compared to Traditional Supply Chain Ecosystem
  • Value Proposition of a Connected Supply Chain
  • Growth Implications of Logistics 4.0

Growth Opportunities and Companies to Action

  • Growth Opportunity
  • Strategic Imperatives for CVs

Conclusions

  • Confluence of Disruptive Technologies
  • Urban Logistics-LCVs
  • Haulage-Medium & Heavy Duty Commercial Vehicles
  • Changing Physiognomy of Trucks
  • Legal Disclaimer

Appendix

  • Market Engineering Methodology
  • Table of Acronyms Used
  • List of Exhibits
  • List of Exhibits (continued)
  • List of Exhibits (continued)