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市場調査レポート

資産トラッキング・フリートマネジメント:コネクテッドオブジェクトの市場機会

Asset Tracking and Fleet Management: Market Opportunities for Connected Objects

発行 IDATE DigiWorld 商品コード 639361
出版日 ページ情報 英文 56 Pages
納期: 即日から翌営業日
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資産トラッキング・フリートマネジメント:コネクテッドオブジェクトの市場機会 Asset Tracking and Fleet Management: Market Opportunities for Connected Objects
出版日: 2018年05月15日 ページ情報: 英文 56 Pages
担当者のコメント
当レポートは、フリートマネジメント及びコネクテッド資産トラッキング市場について2025年までの予測をしております。Playerとして、Amazon Go、COSCO、Ocean、Rhinoの情報もございます。
概要

当レポートでは、資産トラッキング・フリートマネジメント市場における様々なコネクティビティ技術の機会について調査しており、最も有望な利用例となるフリートマネジメント・資産モニタリングに注目した分析、デジタル転換における主な課題、および市場予測などを提供しています。

第1章 エグゼクティブサマリー

第2章 IDATE DigiWorld レポートの一般的な調査手法

第3章 コンセプト・技術

  • コンセプト:概要
  • 主要技術
    • 識別技術
    • M2M通信技術
    • 代替:資産に接続しない資産トラッキング

第4章 市場・アプリケーション

  • 市場背景:物流
    • 市場構造・ダイナミクス
    • 物流デジタル転換の強化
  • フリートマネジメントへの注目
    • 利用例・要件
    • バリューチェーン・企業戦略
    • 開発状況、動向およびビジネスへの影響
  • 資産モニタリングへの注目
    • 利用例・要件
    • バリューチェーン・企業戦略
    • ケーススタディ
    • 収集データの適切な解説
    • コラボレーティブロジスティクス
    • データマネタイゼーション・サービサイゼーション

第5章 市場発展・予測

  • 市場背景要因
  • 市場規模
目次
Product Code: M18320MRA

This study presents an overview of the asset tracking market with a perspective of the opportunities for the various connectivity technologies. It presents the technological options for asset tracking with and without direct connectivity, alongside the general dynamics of the logistics asset tracking market. It focuses on the most promising uses cases that require direct connectivity at the object level: fleet management and asset monitoring.

The study also highlights some of the key challenges in the digital transformation of the logistics market and their potential impact on asset tracking, namely collaborative logistics, servicisation, and the testing task of interpreting and/or monetising data.

The report presents market forecasts to 2025 for the markets of fleet management and of connected asset tracking.

Table of Contents

1. Executive Summary

  • 1.1. Key findings
  • 1.2. Recommendations

2. General methodology of IDATE DigiWorld's reports

3. Concepts and Technologies

  • 3.1. The concepts: an overview
    • 3.1.1. Definitions
    • 3.1.2. Main use cases and industries
  • 3.2. Key Technologies
    • 3.2.1. Identification technologies
    • 3.2.2. M2M communication technologies
    • 3.2.3. Alternatives: asset tracking without connecting the asset

4. Markets and applications

  • 4.1. Market context: logistics
    • 4.1.1. Market structure and dynamics
    • 4.1.2. The stakes of the logistics digital transformation
  • 4.2. Focus on fleet management
    • 4.2.1. Use cases and requirements
    • 4.2.2. Value chain and player strategy
    • 4.2.3. Development state, trends and business impact
  • 4.3. Focus on asset monitoring
    • 4.3.1. Use cases and requirements
    • 4.3.2. Value chain and player strategy
    • 4.3.3. Case studies
    • 4.3.4. Optimum interpretation of the data collected
    • 4.3.5. Collaborative logistics
    • 4.3.6. Data monetisation and servicisation

5. Market development and forecasts

  • 5.1. Market development factors
    • 5.1.1. Analysis of growth drivers
    • 5.1.2. Analysis of potential barriers to development
    • 5.1.3. Vision of development
  • 5.2. Market sizing

Tables

  • Table 1: Asset tracking main use cases, by vertical industries
  • Table 2: Identification technologies
  • Table 3: Overview of communication technology features
  • Table 4: Value propositions of the various communication technologies
  • Table 5: Features of main short-range technologies
  • Table 6: Features of main LPWA technologies, April 2018
  • Table 7: Features of main cellular technologies
  • Table 8: Features of 5G IoT/M2M applications
  • Table 9: Features of main existing satellite solutions for M2M
  • Table 10: Technical requirements of fleet tracking
  • Table 11: Main fleet management providers by installed base, North America, Q4 2016
  • Table 12: Main fleet management providers by installed base, Europe, Q4 2016
  • Table 13: Main fleet management providers by installed base, China, Q4 2016
  • Table 14: Heavy vehicle manufacturers installed base of fleet management in Europe, Q4 2016
  • Table 15: Technical requirements of connected asset tracking
  • Table 16: Key strength and weakness of various stakeholders on the vehicle tracking market

Figures

  • Figure 1: Asset tracking - definition
  • Figure 2: Scope of 5G
  • Figure 3: 5G standardisation and introduction timeline
  • Figure 4: AIS services and potential customers
  • Figure 5: Ship fleet tracking and management using AIS
  • Figure 6: Amazon Go store
  • Figure 7: Shipment tracking solution
  • Figure 8: Shipment tracking through a smartphone application
  • Figure 9: Value chain of the logistics industry
  • Figure 10: World merchandise trade by major product grouping, 2006-2016
  • Figure 11: Logistics industry vision of its digital transformation (2016)
  • Figure 12: Connectivity requirements of logistics use cases
  • Figure 13: Logistics industry current communication technology choices by sector
  • Figure 14: Features of a fleet tracking solution
  • Figure 15: Preventive maintenance, an example
  • Figure 16: Fleet tracking value chain
  • Figure 17: Vehicle manufacturer fleet tracking offering
  • Figure 18: Features of Rhino Tracking
  • Figure 19: Rhino Tracking dashboard
  • Figure 20: Ocean fleet tracking
  • Figure 21: Vehicle sharing application
  • Figure 22: Evolution of road traffic in the US, 1960-2012
  • Figure 23: Connected asset tracking value chain
  • Figure 24: Device fixed on a classic container (left) network architecture for sea freight (right)
  • Figure 25: Increased reach using a local-mesh network
  • Figure 26: Overview of TRAXENS' solution
  • Figure 27: Indoor connected asset tracking, based on Wifi network
  • Figure 28: Apitrak's web interface to find medical devices
  • Figure 29: Bluetooth data logger (Atlas)
  • Figure 30: LoRa data logger (Cobalt ML3)
  • Figure 31: Machine learning
  • Figure 32: Asset tracking data used for fraud and anomaly detection
  • Figure 33: Benefits of information exchange between various stakeholders of the logistics ecosystem
  • Figure 34: Blockchain-based platform for information exchange in the logistics ecosystem
  • Figure 35: Location data visualisation from the location data market Flux Vision
  • Figure 36: Asset tracking and servicisation business models
  • Figure 37: Cable drums
  • Figure 38: Asset monitoring device installed on cable drums
  • Figure 39: Architecture of asset monitoring with unlicensed LPWA connectivity
  • Figure 40: Installed base of fleet management devices
  • Figure 41: CAGR of fleet management devices for each region, in percent, over the period
  • Figure 42: Installed base of asset tracking devices

Geographic area

  • World

Actors

  • Amazon Go
  • Apitrak
  • AT&T
  • Canadian National
  • China Mobile
  • Cityzen Data
  • CMA CGM
  • Colas
  • COSCO
  • CSIC
  • Customs Administration of the Netherlands
  • Daimler
  • DB Schenker
  • Dow Chemical
  • DP World
  • DSME
  • DuPont
  • Enedis
  • EUROGATE
  • ffly4u
  • Fleetmatics
  • Geodis
  • Honeywell
  • Hyundai Heavy Industry
  • IBM
  • Isuzu
  • Kernix
  • LoRa
  • Maersk
  • Michelin
  • MSC
  • Nexans
  • Nippon Express
  • Ocean
  • Oceasoft
  • Orange
  • Port Houston
  • Rhino Tracking
  • Rolls Royce Aviation
  • Rotterdam Port Community System Portbase
  • SaveCode
  • Shippeo
  • SIGFOX
  • Telogis
  • Tetra Pak
  • ThingWorx by PTC
  • TomTom
  • TRAXENS
  • U.S. Customs and Border Protection.
  • Verizon
  • Vodafone Pole Star
  • Volvo
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