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市場調查報告書

未來出行:塑造出行方式的驅動力

Mobility of the Future: The Driving Forces that are Shaping the Mobility Landscape

出版商 IDATE DigiWorld 商品編碼 1008911
出版日期 內容資訊 英文 63 Pages
商品交期: 最快1-2個工作天內
價格
未來出行:塑造出行方式的驅動力 Mobility of the Future: The Driving Forces that are Shaping the Mobility Landscape
出版日期: 2021年05月17日內容資訊: 英文 63 Pages
簡介

本報告探討了移動轉型的當前和未來趨勢,包括車輛自動化、能源效率、氣候變化、消費者關注、MaaS(移動即服務)和新形式的移動計劃。我們提供系統信息,包括案例研究10 家大公司。

地理範圍

  • 北美
  • 歐洲
  • 亞太地區
  • 美國
  • 法國
  • 德國
  • 意大利
  • 西班牙
  • 英國
  • 中國
  • 韓國

上市公司

  • Allianz
  • Amazon
  • Aptiv
  • Aurora
  • Automobile City
  • Baidu
  • Beeline
  • Beryl
  • BMW-Daimler (profile)
  • Bosch (profile)
  • BP
  • Citymapper
  • Communauto
  • Conduent
  • Continental AG
  • Daimler (profile)
  • Didi Chuxing
  • FCA
  • Fiat Chrysler
  • Ford
  • Geely
  • GKN
  • General Motors (profile)
  • Google Maps
  • Grab Taxi
  • Greenlines Technology
  • HERE Mobility
  • Honda
  • Hyundai
  • Innoviz
  • IONITY
  • Jewel
  • JLR
  • Jump
  • King Long
  • LG Chem
  • Lime (profile)
  • lntel
  • London Oyster
  • Lyft
  • MaaS Global (profile)
  • Magna
  • Masabi
  • Mercedes-Benz
  • Mitsubishi
  • Mobilleo
  • Moovel
  • Moovit
  • MTBA
  • NVIDIA
  • NZ Transport Agency
  • OV-chipkaart
  • Panasonic
  • Porsche
  • PSA Group
  • Qualcomm
  • RATP Group
  • REACH NOW
  • Rejsekort
  • Samsung
  • Sequoia Capital
  • Shanghai International
  • Shell
  • Siemens
  • Sila Nanotechnologies
  • Sked Go
  • Solid Power
  • Spotify
  • Switch Mobility
  • Tesla (profile)
  • Torc Robotics
  • Transdev
  • Trip Go
  • Trulia
  • Uber (profile)
  • Ubigo
  • Virgin
  • Volkswagen
  • Volvo
  • Waymo (profile)
  • Wheels
  • Whim
  • Yandex Taxi

目錄

第 1 章執行摘要

第 2 章電動汽車 (EV)

  • 定義改進
  • 電動汽車 (EV) 的主要推動因素
  • 電動汽車 (EV) 性能
  • 電動汽車 (EV) 價值鏈
  • 電動汽車 (EV) 生態系統
  • 推動者和障礙

第三章車輛自動化

  • 自動駕駛汽車 (AV):定義
  • 自動駕駛水平
  • MaaS 主要用例概述
  • 主要技術
  • 技術相關問題
  • 世界各地的試驗
  • 自動駕駛汽車 (AV) 價值鏈
  • 自動駕駛生態系統
  • 自動駕駛汽車 (AV) 的可能性
  • 推動者和障礙

第 4 章 MaaS

  • 定義
  • MaaS 主要用例概述
  • 主要推動因素
  • 交通服務優化:MaaS出現的第一步
  • 重點:增加微型移動領域
  • MaaS 價值鏈
  • MaaS 生態系統
  • 主要商業模式
  • MaaS 生態系統戰略
  • 全球MaaS項目現狀
  • 主要計劃:MaaS Enterprise
  • 挑戰
  • 推動者和障礙

第五章公司簡介

  • BMW
  • WAYMO
  • General Motors
  • Tesla
  • Lime
  • Uber
  • Daimler
  • MaaS Global
  • Citymapper
  • Bosch

第 6 章市場規模

  • 推動者和障礙
  • 增加微移動性
  • 自動駕駛汽車 (AV):炒作之後
目錄
Product Code: M00004MRA

The report reviews the current and foreseeable trends in the transition of mobility, where much is on the move.

The study starts by explaining the dynamic of the push towards innovation in the powering of vehicles - increasingly through electrification. Running through the fast-evolving levels in the automation of vehicles, it continues by examining the pull of such external factors as energy efficiency, climate change and consumer concerns.

Together, these drivers are remodelling mobility as a service - at the service of manufacturers, consumers, the environment and social transformation.

The well-illustrated mapping of initiatives in new forms of mobility - with some one hundred projects in the three regions of North America, Europe and Asia-Pacific - is rounded off by detailed case studies of ten major players both in technology and in overall strategy.

The resulting raft of internal and external forces combined, coupled with the emergence of new logistics such as micromobility, is rewriting the nature of the overall market. This is set to grow phenomenally across the globe, with Asia-Pacific in pole position.

Geographical coverage:

  • North America
  • Europe
  • Asia-Pacific
  • United States
  • France
  • Germany
  • Italy
  • Spain
  • United Kingdom
  • China
  • South Korea

Companies Mentioned:

  • Allianz
  • Amazon
  • Aptiv
  • Aurora
  • Automobile City
  • Baidu
  • Beeline
  • Beryl
  • BMW-Daimler (profile)
  • Bosch (profile)
  • BP
  • Citymapper
  • Communauto
  • Conduent
  • Continental AG
  • Daimler (profile)
  • Didi Chuxing
  • FCA
  • Fiat Chrysler
  • Ford
  • Geely
  • GKN
  • General Motors (profile)
  • Google Maps
  • Grab Taxi
  • Greenlines Technology
  • HERE Mobility
  • Honda
  • Hyundai
  • Innoviz
  • IONITY
  • Jewel
  • JLR
  • Jump
  • King Long
  • LG Chem
  • Lime (profile)
  • lntel
  • London Oyster
  • Lyft
  • MaaS Global (profile)
  • Magna
  • Masabi
  • Mercedes-Benz
  • Mitsubishi
  • Mobilleo
  • Moovel
  • Moovit
  • MTBA
  • NVIDIA
  • NZ Transport Agency
  • OV-chipkaart
  • Panasonic
  • Porsche
  • PSA Group
  • Qualcomm
  • RATP Group
  • REACH NOW
  • Rejsekort
  • Samsung
  • Sequoia Capital
  • Shanghai International
  • Shell
  • Siemens
  • Sila Nanotechnologies
  • Sked Go
  • Solid Power
  • Spotify
  • Switch Mobility
  • Tesla (profile)
  • Torc Robotics
  • Transdev
  • Trip Go
  • Trulia
  • Uber (profile)
  • Ubigo
  • Virgin
  • Volkswagen
  • Volvo
  • Waymo (profile)
  • Wheels
  • Whim
  • Yandex Taxi

Table of Contents

1. Executive Summary

2. E-Vehicles

  • 2.1. Refining the definitions
  • 2.2. The key enablers of the e-vehicle
  • 2.3. E-vehicles performances
  • 2.4. E-vehicles value chain
  • 2.5. The ecosystem of the e-vehicle
  • 2.6. Drivers and barriers

3. Vehicle Automation

  • 3.1. Autonomous vehicles: definitions
  • 3.2. Levels of autonomous driving
  • 3.3. Overview of flagship use cases in MaaS
  • 3.4. Key technologies
    • 3.4.1. Surroundings detection
    • 3.4.2. Connectivity and communication : V2V, V2X
    • 3.4.3. Connectivity and communication : GNSS & HD mapping
  • 3.5. Technologies and related challenges
  • 3.6. Trials throughout the world
  • 3.7. Automated vehicles value chain
  • 3.8. Autonomous driving ecosystem
    • 3.8.1. Overview of autonomous car manufacturers strategies
    • 3.8.2. Autonomous driving ecosystem strategies
    • 3.8.3. Overview of autonomous driving market maturity
    • 3.8.4. Mapping of main players
  • 3.9. Autonomous car potential
  • 3.10. Drivers and barriers

4. Mobility as a Service

  • 4.1. Definitions
  • 4.2. Overview of flagship use cases in MaaS
  • 4.3. Key enablers
  • 4.4. Optimising transport services: the first step in the emergence of MaaS
  • 4.5. Focus: micromobility sector is on the rise
  • 4.6. MaaS value chain
  • 4.7. MaaS ecosystem
  • 4.8. Key business models
  • 4.9. MaaS ecosystem strategies
  • 4.10. State of MaaS projects worldwide
  • 4.11. Main initiatives by MaaS players
  • 4.12. Challenges
  • 4.13. Drivers and barriers

5. Player profiles

  • 5.1. BMW
  • 5.2. WAYMO
  • 5.3. General Motors
  • 5.4. Tesla
  • 5.5. Lime
  • 5.6. Uber
  • 5.7. Daimler
  • 5.8. MaaS Global
  • 5.9. Citymapper
  • 5.10. Bosch

6. Market sizing

  • 6.1. Drivers and barriers
  • 6.2. Micromobility on the rise
  • 6.3. Autonomous vehicles: After the hype

List of tables and figures

2. E-vehicles

  • BEV, HEV and PHEV
  • Charging times comparison by level
  • E-vehicles value chain

3. Vehicle automation

  • The six levels of autonomous driving
  • Overview of automated vehicles use cases
  • Comparison of main sensors used for self-driving cars
  • Number of cities with trials and initiatives around autonomous cars
  • Automated vehicles value chain
  • Autonomous driving ecosystem strategies
  • Mapping of main players in the autonomous driving ecosystem

4. Mobility as a Service

  • Overview of MaaS use cases
  • MaaS key enablers
  • MaaS value proposition
  • MaaS value chain
  • MaaS key business models
  • MaaS ecosystem strategies
  • MaaS regulatory landscape

6. Market sizing

  • Evolution of shared mobility fleet, by type of vehicle
  • Evolution of shared mobility fleet, by region
  • Evolution of the autonomous vehicle installed base, by level of autonomy
  • Evolution of the autonomous vehicle installed base, by level of autonomy, by region