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市場調查報告書

卡車產業的網際網路的有效利用案例分析

Executive Analysis of Internet Use Cases in Trucks

出版商 Frost & Sullivan 商品編碼 340894
出版日期 內容資訊 英文 45 Pages
商品交期: 最快1-2個工作天內
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卡車產業的網際網路的有效利用案例分析 Executive Analysis of Internet Use Cases in Trucks
出版日期: 2015年09月28日 內容資訊: 英文 45 Pages
簡介

隨著汽車產業上IoT (物聯網) 的認知度高漲,卡車產業也同時受惠地出現各種服務的構想。製車廠在使用網路型即時技術來達到強化安全性、改善燃油消耗率、削減排放的同時,車載資通系統供應商提供最尖端的車隊管理服務,實現了車隊及司機的最佳管理。此外,資料集中企業(整合業者)及資料分析企業的合作,也有創造新收益源的可能性。再藉由引進高透明化的穩固系統,來改善業務效率及順化工作流程。藉由活用IoT,也可能讓司機的平均年齡在今後7年間降低到35∼40歲。

本報告提供卡車產業上IoT (物聯網) 的引進動向,及主要企業的引進案例,各個方面 (車輛廠商,車隊業者,司機) 的未來性影響的調查·考察。

第1章 摘要整理

  • 分析的要點
  • 卡車的IoT (物聯網):支援網際網路服務概要
  • 價值鏈
  • 技術服務的概要
  • 司機的平均年齡低
  • OTA (無線網路經由) 方式的更新
  • 跟車輛廠商 (OEM企業) 的夥伴關係
  • 發展IoT時的課題

第2章 分析的範圍·目的·背景·手法

  • 分析範圍
  • 分析目的·對象
  • 本報告的問題的認知
  • 分析的背景
  • 分析方法

第3章 定義與分類

  • 市場定義與分類

第4章 對車輛廠商及售後市場·供應商來說的意義

  • 主動預見式巡航 (現在位置資訊表示) 與介入
  • 無人行車卡車
  • 活用IoT改善產品·流程
  • 改善產品·流程:服務管理
  • 改善產品·流程:庫存管理
  • 改善產品·流程:產品改良

第5章 車隊·對業者來說的意義

  • 行動通訊型貨物中介服務
  • 連續自動駕駛服務
  • 維修·維修
  • 酬載管理
  • 層積造型
  • 智慧付款服務
  • 智慧停車服務

第6章 對司機來說的意義

  • 遊戲化
  • 公司內部的數位學習·訓練
  • 安全系統
  • 健康和保健

第7章 結論與未來展望

  • 結論:3個主要的預測
  • 法律上的免責聲明

第8章 附錄

  • 分析方法
  • 簡稱·首字母一覽
目錄
Product Code: NFD1-01-00-00-00

Internet-enabled Services to Reduce the Average Truck Driver Age to 35-40 in the Next 7 Years

This research study analyzes the current and future developments in truck ecosystem with the Internet of Things (IoT) taking shape in the trucking industry. Growing awareness of IoT in the automotive industry has unveiled a number of smart trucking services that could significantly benefit the fraternity in various aspects. While OEMs are building Internet-based-real-time technologies which strongly emphasize on safety, fuel saving, and emission reduction, telematics vendors are gearing up with advanced fleet management services for effective fleet and driver utilization. IoT in trucks will add new revenue streams for OEMs and telematics vendors by bringing in data aggregators and analytics companies into their partnership ecosystem. The benefits are passed on to fleet operators and drivers in the form of a transparent and foolproof system, resulting in enhanced operational efficacy and ease of work flow. Implications and use cases of Internet-enabled smart services for OEMs, telematics vendors, and drivers are covered comprehensively in this report.

Key Questions this Study will Answer

  • What is Internet of Things (IoT) and what does it mean to the commercial vehicle industry?
  • Who are the essentials in the IoT-enabled truck ecosystem and who are the key beneficiaries?
  • What are the implications of IoT-enabled telematics for OEMs, aftermarket vendors and truck drivers?
  • What are some of the futuristic services which will evolve as a result of enabling IoT in trucks?

Table of Contents

1. EXECUTIVE SUMMARY

  • 1. Key Findings
  • 2. Internet of Things in Trucks-An Overview of Internet-Enabled Services
  • 3. Value Chain
  • 4. Technology Services Mapping
  • 5. Decrease in Average Driver Age
  • 6. Over-the-Air (OTA) Updates
  • 7. OEM Partnership
  • 8. Challenges in IoT Implementation

2. RESEARCH SCOPE, OBJECTIVES, BACKGROUND, AND METHODOLOGY

  • 1. Research Scope
  • 2. Research Aims and Objectives
  • 3. Key Questions this Study will Answer
  • 4. Research Background
  • 5. Research Methodology

3. DEFINITIONS AND SEGMENTATION

  • 1. Market Definitions and Segmentation

4. IMPLICATIONS FOR OEMS AND AFTERMARKET VENDORS

  • 1. Active Prediction and Intervention
  • 2. Autonomous Trucks
  • 3. Leveraging IoT for Product and Process Improvement
  • 4. Product and Process Improvement-Service Management
  • 5. Product and Process Improvement-Inventory Management
  • 6. Product and Process Improvement-Product Improvement

5. IMPLICATIONS FOR FLEET OPERATORS

  • 1. Mobile-based Freight Brokerage Services
  • 2. Platooning Services
  • 3. Repair and Maintenance
  • 4. Payload Management
  • 5. Additive Manufacturing
  • 6. Smart Payment Services
  • 7. Smart Parking Services

6. IMPLICATIONS FOR DRIVERS

  • 1. Gamification
  • 2. In-cab e-Learning and Training
  • 3. Safety Systems
  • 4. Health and Wellness

7. CONCLUSIONS AND FUTURE OUTLOOK

  • 1. The Last Word-3 Big Predictions
  • 2. Legal Disclaimer

8. APPENDIX

  • 1. Methodology
  • 2. Abbreviations and Acronyms Used
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