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市場調查報告書
商品編碼
1043004

新分析——乘車份額:價值鏈分析、市場規模、預測(2021-2026 年)

Ride Sharing: Value Chain Analysis, Market Size & Forecasts 2021-2026

出版日期: | 出版商: Juniper Research Ltd | 英文 | 商品交期: 最快1-2個工作天內

價格
  • 全貌
  • 簡介
  • 目錄
簡介

本報告分析了全球拼車市場,並概述和評估了價值鏈的結構、主要商業模式、電動汽車和自動駕駛汽車的普及前景、各國的普及情況和主要車輛技術,市場規模趨勢展望(未來5年:用戶數量,車輛數量,里程,利潤等),按地區和國家等的詳細趨勢將被匯總和交付。

待分析公司

提及公司: 3M、Allstate、Apple、Arrival、AXA、百度、Bharti Airtel、BMW、Bolt、Bosch、California Air Resources Board、ChargePoint、Chubb、Citi Bank、Citymapper、CoMoUK、滴滴出行、荷蘭工會聯合會、Fluidtime、福特、Geico、GM(通用汽車)、谷歌、赫茲、起亞、Lyft、梅賽德斯-奔馳、紐約市出租車和豪華轎車委員會、NewMotion、Nextbike、日產、Onde、San舊金山市交通局、特斯拉、倫敦交通局、優步、Waymo。

數據交互預測

  • 本報告分析的地區/國家(共 8 個地區/30 個國家)
    • 阿根廷
    • 澳大利亞
    • 巴西
    • 加拿大
    • 中國
    • 哥倫比亞
    • 丹麥
    • 印度
    • 芬蘭
    • 法國
    • 德國
    • 印度尼西亞
    • 意大利
    • 日本
    • 墨西哥
    • 荷蘭
    • 尼日利亞
    • 挪威
    • 巴基斯坦
    • 波蘭
    • 葡萄牙
    • 俄羅斯
    • 沙特阿拉伯
    • 南非
    • 新加坡
    • 韓國
    • 西班牙
    • 瑞典
    • 英國
    • 美國

目錄

第1章重點和戰略建議

第二章價值鏈與商業模式

  • 簡介
  • 定義
  • 價值鏈
  • 商業模式
    • 市政當局
      • 擁塞/排放計費
      • MaaS
      • 交通樞紐和基礎設施
    • 監管機構
    • 拼車服務運營商
      • 拼車服務
      • 訂閱包
      • MaaS
      • 增值服務
    • 平台開發者
    • 汽車 OEM
      • 提供拼車服務
      • 定制拼車
    • 汽車保險公司
    • 促進拼車的因素
      • 旅程(移動)收入
      • 員工福利

第三章主要車輛技術

  • ICE(內燃機車)
    • 所需的基礎架構更改
    • 所需獎勵的數量
    • 監管環境
    • 顯著發展
    • 引入障礙
  • 電動車
    • 所需的基礎架構更改
    • 所需獎勵的數量
    • 監管狀態
    • 發展至今
    • 引入障礙
  • 微移動
    • 所需的基礎架構更改
    • 所需獎勵的數量
    • 發展至今
    • 引入障礙
  • 自動駕駛出租車
    • 所需的基礎架構更改
    • 所需獎勵的數量
    • 發展至今
    • 引入障礙

第四章市場預測

  • 概覽
    • 假設分析方法
  • 用戶和收入預測
    • 拼車用戶總數
    • 拼車行程總數
    • 拼車總數
    • 拼車總里程
    • ICE 類型共享汽車的總排放量
    • 拼車行程總收入
目錄

Juniper Research's latest “Ride Sharing” market research offers a comprehensive analysis of this fast-moving market; providing critical insights into the industry's value chain and major players' business models, as well as appraising key technologies underlying the ride share sector globally, including:

  • ICE Vehicles
  • Electric Vehicles
  • Micromobility
  • Robotaxis

In addition, the report explores key trends and developments and provides recommendations for how platforms, city authorities, and vehicle manufacturers can leverage these for success. It also provides forecasts for a range of related ride share metrics, including total users, journeys, vehicles, and revenue, as well as total emissions produced.

This research suite includes:

  • Strategy & Forecasts (PDF)
  • 5-year Market Sizing & Forecast Spreadsheet (Excel)
  • 12 months' access to harvest online data platform

KEY FEATURES

  • Value Chain: A comprehensive evaluation of the ride share ecosystem and relationships that exist between major stakeholders, such as:
    • City Authorities
    • Regulatory Bodies
    • Ride Share Service Operators
    • Ride Share Drivers
    • Automotive OEMs
  • Business Models: A thorough appraisal of monetisation practices used by stakeholders within the shared ride value chain, also covering::
    • The extent to which these practices are evolving as the ride sharing industry matures
    • The challenges that ride sharing stakeholders must overcome if widespread adoption of ride sharing platforms is to be achieved
  • Key Technologies: An exploration of vehicle technologies that are driving the ride sharing industry, assessed by:
    • Changes in Infrastructure Required
    • Incentives Required
    • Regulatory Environment
    • Notable Deployments
    • Barriers to Implementation
  • Benchmark Industry Forecasts: Our 5-year forecasts for ride share metrics such as total users, vehicles, journey, and revenue, split by 8 key global regions and 30 selected countries:
    • Argentina
    • Australia
    • Brazil
    • Canada
    • China
    • Colombia
    • Denmark
    • India
    • Finland
    • France
    • Germany
    • Indonesia
    • Italy
    • Japan
    • Mexico
    • Netherlands
    • Nigeria
    • Norway
    • Pakistan
    • Poland
    • Portugal
    • Russia
    • Saudi Arabia
    • South Africa
    • Singapore
    • South Korea
    • Spain
    • Sweden
    • UK
    • US

KEY QUESTIONS

  • 1. Who are the major stakeholders within the ride share value chain?
  • 2. What are the key business models driving the ride sharing industry?
  • 3. When can we expect electric and autonomous vehicles to be deployed within ride sharing?
  • 4. Which countries have the strongest levels of adoption?
  • 5. How will the size and value of the ride sharing market evolve over the next 5 years?

COMPANIES REFERENCED

Mentioned: 3M, Allstate, Apple, Arrival, AXA, Baidu, Bharti Airtel, BMW, Bolt, Bosch, California Air Resources Board, ChargePoint, Chubb, Citi Bank, Citymapper, CoMoUK, Didi Chuxing, Federation of Dutch Trade Unions, Fluidtime, Ford, Geico, GM (General Motors), Google, Hertz, Kia, Lyft, Mercedes-Benz, New York City Taxi and Limousine Commission, NewMotion, Nextbike, Nissan, Onde, San Francisco Municipal Transportation Agency, Tesla, Transport for London, Uber, Waymo.

DATA & INTERACTIVE FORECAST

Juniper Research's “Ride Sharing” forecast suite includes:

  • 5-year benchmark forecasts for:
    • Total Number of Users
    • Number of ICE Vehicles
    • Number of Electric Vehicles
    • Total Number of Vehicles
    • Total Distance Travelled by Vehicles
    • Total Emissions Produced by ICE Vehicles
    • Number of Carpool Journeys
    • Number of Non-carpool Journeys
    • Total Number of Journeys
    • Total Carpool Journey Revenue
    • Total Non-carpool Journey Revenue
    • Total Journey Revenue
  • Data splits for 8 key global regions and 30 selected countries:
    • Argentina
    • Australia
    • Brazil
    • Canada
    • China
    • Colombia
    • Denmark
    • India
    • Finland
    • France
    • Germany
    • Indonesia
    • Italy
    • Japan
    • Mexico
    • Netherlands
    • Nigeria
    • Norway
    • Pakistan
    • Poland
    • Portugal
    • Russia
    • Saudi Arabia
    • South Africa
    • Singapore
    • South Korea
    • Spain
    • Sweden
    • UK
    • US
  • Access to the full set of forecast data of 63 tables and over 25,500 datapoints.
  • Interactive Excel Scenario tool allowing users to manipulate Juniper Research's data for 5 different metrics.

Juniper Research's highly granular interactive Excels enable clients to manipulate Juniper Research's forecast data and charts to test their own assumptions using the Interactive Scenario Tool and compare select markets side-by-side in customised charts and tables. IFxls greatly increase clients' ability to both understand a particular market and to integrate their own views into the model.

Table of Contents

1. Key Takeaways & Strategic Recommendations

  • 1.1. Key Takeaways
  • 1.2. Strategic Recommendations

2. Value Chain & Business Models

  • 2.1. Introduction
  • 2.2. Definition
  • 2.3. Value Chain
    • Figure 2.1: Ride Sharing Value Chain
  • 2.4. Business Models
    • 2.4.1. City Authorities
      • i. Congestion & Emissions Charges
        • Figure 2.2: London ULEZ & Congestion Charge Boundary Map
      • ii. MaaS
      • iii. Mobility Hubs and Infrastructure
    • 2.4.2. Regulatory Bodies
      • Figure 2.3: Mobility Hub Prototype Designed by CoMoUK
    • 2.4.3. Ride Sharing Service Operators
      • i. Ride Sharing Services
      • ii. Subscription Packages
        • Figure 2.4: Total Number of Ride Sharing Journeys (m), Split by Occupancy Type, 2021-2026
      • iii. MaaS
        • Figure 2.5: Number of Private Car Journeys Displaced by MaaS (m), Split by 8 Key Regions, 2021-2027
      • iv. Value-added Services
    • 2.4.4. Platform Developers
    • 2.4.5. Automotive OEMs
      • i. Provision of Ride Sharing Vehicles
        • Figure 2.6: Total Emissions Produced by ICE Ride Sharing Vehicles (MT CO2e), Split by 8 Key Regions, 2021-2026
      • ii. Bespoke Ride Sharing Vehicles
        • Figure 2.7: Visualisation of 'Arrival Car' Interior
    • 2.4.6. Automotive Insurers
    • 2.4.7. Ride Sharing Drivers
      • i. Journey Revenue
        • Figure 2.8: Total Ride Sharing Journey Revenue Paid to Ride Sharing Drivers ($m), Split by 8 Key Regions, 2021-2026
      • ii. Employee Benefits

3. Key Vehicle Technologies

  • 3.1. ICE Vehicles
    • 3.1.1. Changes in Infrastructure Required
    • 3.1.2. Number of Incentives Required
    • 3.1.3. Regulatory Environment
      • Table 3.1: Regulations Regarding the Purchasing of ICE Vehicles, by Country
    • 3.1.4. Notable Deployments
    • 3.1.5. Barriers to Implementation
  • 3.2. Electric Vehicles
    • 3.2.1. Changes in Infrastructure Required
    • 3.2.2. Number of Incentives Required
    • 3.2.3. Regulatory Landscape
    • 3.2.4. Deployments to Date
    • 3.2.5. Barriers to Implementation
  • 3.3. Micromobility
    • 3.3.1. Changes in Infrastructure Required
    • 3.3.2. Number of Incentives Required
    • 3.3.3. Deployments to Date
    • 3.3.4. Barriers to Implementation
  • 3.4. Robotaxis
    • 3.4.1. Changes in Infrastructure Required
    • 3.4.2. Number of Incentives Required
    • 3.4.3. Deployments to Date
    • 3.4.4. Barriers to Implementation

4. Market Forecasts

  • 4.1. Overview
    • 4.1.1. Methodology & Assumptions
      • Figure 4.1: Forecast Methodology - Total Number of Ride Sharing Users & Journeys
      • Figure 4.2: Forecast Methodology - Total Number of Ride Sharing Vehicles
      • Figure 4.3: Forecast Methodology - Total Distance Travelled by Ride Sharing Vehicles & Total Emissions Produced by ICE Ride Sharing Journeys
      • Figure 4.4: Forecast Methodology - Total Ride Sharing Journey Revenue
  • 4.2. User & Revenue Forecasts
    • 4.2.1. Total Number of Ride Sharing Users
      • Figure & Table 4.5: Total Number of Ride Share Users (m), Split by 8 Key Regions, 2021-2026
    • 4.2.2. Total Number of Ride Sharing Journeys
      • Figure & Table 4.6: Total Number of Ride Sharing Journeys (m), Split by 8 Key Regions, 2021-2026
      • Table 4.7: Total Number of Ride Sharing Journeys (m), Split by Journey Type, 2021-2026
    • 4.2.3. Total Number of Ride Sharing Vehicles
      • Figure & Table 4.8: Total Number of Ride Sharing Vehicles (m), Split by 8 Key Regions, 2021-2026
      • Table 4.9: Total Number of Ride Sharing Vehicles (m), Split by Vehicle Type, 2021-2026
    • 4.2.4. Total Distance Travelled by Ride Sharing Vehicles
      • Figure & Table 4.10: Total Distance Travelled by Ride Sharing Vehicles (Billion Miles), Split by 8 Key Regions, 2021-2026
    • 4.2.5. Total Emissions Produced by ICE Ride Sharing Vehicles
      • Figure & Table 4.11: Total Emissions Produced by ICE Ride Sharing Vehicles (Million Metric Tons), Split by 8 Key Regions, 2021-2026
      • Table 4.12: Total Emissions Produced by ICE Ride Sharing Vehicles (Million Metric Tons), Split by Occupancy Level, 2021-2026
    • 4.2.6. Total Ride Sharing Journey Revenue
      • Figure & Table 4.13: Total Ride Sharing Journey Revenue ($bn), Split by 8 Key Regions, 2021-2026
      • Table 4.14: Total Ride Sharing Journey Revenue ($bn), Split by Journey Type, 2021-2026
      • Table 4.15: Total Ride Sharing Journey Revenue ($bn), Split by Payee, 2021-2026