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未来の自動運転車サービスのビジネスモデル (2030年)

Future Business Models of Autonomous Vehicle Services, 2030

発行 Frost & Sullivan 商品コード 927991
出版日 ページ情報 英文 90 Pages
納期: 即日から翌営業日
価格
本日の銀行送金レート: 1USD=108.13円で換算しております。
未来の自動運転車サービスのビジネスモデル (2030年) Future Business Models of Autonomous Vehicle Services, 2030
出版日: 2020年02月28日 ページ情報: 英文 90 Pages
概要

自動運転 (AD) 技術の発達や自動運転車 (AV) の普及に伴い、新たな市場の開拓・発展が期待されています。具体的には、オンデマンド/ユーザ保険や車両データサービス、予知保全などが将来有望な市場機会と見做されています。世界の自動運転車サービスの市場規模は、2019年にはわずか11億4000万米ドルだったものが、2030年には2025億1100万米ドルへと、60.1%ものCAGRで拡大する、と予測されています。

当レポートでは、世界の自動運転車 (AV) サービス市場における将来有望なビジネスモデルについて分析し、現在までの技術開発の推移や課題、現在想定されているサービス分野とビジネスモデル、主な成功事例、今後の市場動向の見通しと技術成長の可能性・方向性、業界関係者が今後対処すべき課題、といった情報を取りまとめてお届けいたします。

エグゼクティブサマリー

分析の範囲・目的・背景・手法

定義と前提条件

  • 自動運転:各種レベルの内容と利用事例:SAEによる定義
  • SAEの定義の変更:L5からオムニオペレーションへの移行
  • 定義
  • 前提条件

市場動向

  • ADの市場動向
  • 市場動向

モビリティサービス

  • 自動運転 (AD) サービス
  • 従来型タクシーのビジネスモデル
  • 自律型タクシー:バリューチェーンと将来のビジネスモデル
  • 自律型タクシー:ビジネスモデル分析
  • 自律的タクシー:料金モデル
  • 自律的タクシー:市場収益額の予測
  • 自動運転シャトル:バリューチェーンとビジネスモデル
  • 自動運転シャトル:料金モデル
  • 自動運転シャトル:市場収益額の予測

周辺サービス

  • オンデマンド/ユーザー保険:バリューチェーンとビジネスモデル
  • オンデマンド/ユーザー保険:料金モデル
  • オンデマンド/ユーザー保険:市場収益額の予測
  • 車両データサービス:バリューチェーンとビジネスモデル
  • 車両データサービス険:市場収益額の予測
  • 自動予知保全:バリューチェーンとビジネスモデル
  • 自動予知保全:市場収益額の予測

車両サービス

  • オンデマンド式機能更新:ビジネスモデル
  • オンデマンド式機能更新:市場収益額の予測
  • 駐車サービス:バリューチェーンとビジネスモデル
  • 駐車サービス:市場収益額の予測

物流サービス

  • 無人配送:バリューチェーンとビジネスモデル
  • 無人配送 (AD) がロジスティックサービスに及ぼす影響
  • 物流業界の需要の変化:長距離/都市間の流通
  • 物流サービス:市場収益額の予測
  • ケーススタディ:Delivery Solutions into the City (DPDgroup)

成長の機会と行動する企業

  • 成長機会:自動車メーカー (OEM) と技術サービスプロバイダー (TSP) による投資と事業提携
  • 成功・成長のための戦略的課題

主な結論

  • 主な分析結果
  • 結論:3つの主な予測

付録

目次
Product Code: MEDD-18

The Global Autonomous Vehicle Service Market is likely to Reach $203 Billion by 2030

OEMs, who have been traditionally maintaining industry leadership and also tight control over the ecosystem, have realized that the ongoing shift towards holistic mobility solutions presents a substantial threat to their position and dominance. They have also realized that the emergence of autonomous vehicles will not only disrupt the way we travel but also cause a major disruption to how players across the value chain operate.

In order for autonomous technology to be viable, it needs to have a profitable and sustainable business model. The key challenge is to develop a robust strategy after taking into account many challenges such as regulatory hurdles, lack of standardized road infrastructure, and low consumer confidence on autonomous technology. Despite all these challenges, there is a huge inflow of new entrants, especially the ones with no automotive background, and all of them agree that autonomous vehicles promise good profit margins while reducing operating expenses.

We at the Mobility team within Frost & Sullivan have published a report titled “Future Business Models of Autonomous Vehicle Services, 2019,” which aims to find answers to the challenges. The aim of this study is to research, analyze, and forecast the emerging autonomous services market at a global level and also assess the future growth and developments in the market.

Our research indicates that the autonomous vehicle service market is expected to grow from a mere $1.14 billion in 2019 to $202.51 billion in 2030, at a CAGR of 60.1%, facilitated by mutually beneficial business models across the entire value chain. Among the various services, the mobility services market is expected to grow from $0.01 million in 2019 to $22.41 billion in 2030 showcasing the most drastic cluster for growth in the next decade.

Peripheral services which include services such as on-demand/user insurance, vehicle data services, and predictive maintenance together roughly amount to 55% - i.e., $110 billion in 2030, at a CAGR of 78% from 2019. Vehicle services such as on-demand feature updates and parking services for autonomous vehicles will grow from a mere $0.20 billion in 2019 to $35.15 billion in 2030, at a CAGR of 60.1%. The autonomous logistics market is expected to grow from a mere $0.74 billion in 2019 to $34.46 billion in 2030 at a CAGR of 41.7%, driven by consumers' desire for faster delivery and their willingness to pay a premium for the same.

Research Highlights:

  • define and understand the evolution of the autonomous services market.
  • give a detailed introduction of the global autonomous service market including value chain and business models, pricing models for mobility services, peripheral services, vehicle services, and logistic services.
  • provide an overview of the new business models likely to become popular among various autonomous service clusters.
  • estimate the market size of various autonomous services markets for the period from 2019 to 2030

Table of Contents

Executive Summary

  • Highly Automated Vehicles (HAVs) Forecasts
  • Autonomous Driving (AD) Trends
  • AD Services
  • AD Services-Definitions
  • Key Findings
  • Key Findings (continued)
  • Impact of AD on Mobility Services
  • Impact of AD on Peripheral Services
  • Impact of AD on Vehicle Services
  • Impact of AD on Logistic Services
  • Summary of Business Models by AD Services
  • Summary of Autonomous Vehicle Services
  • Summary of Total Revenue Potential by AV Services
  • Key Conclusions

Research Scope, Objectives, Background and Methodology

  • Research Scope
  • AD Services
  • AD Services-Definitions
  • Research Aims and Objectives
  • Key Questions this Study will Answer
  • Research Background
  • Research Methodology

Definitions & Assumptions

  • SAE Definition for Various Levels of Automation by Use Case
  • Changes to SAE Definition-L5 to be Omni-operational
  • Definitions
  • Definitions (continued)
  • Assumptions

Trends

  • Market Trends for AD
  • Market Trends

Mobility Services

  • AD Services
  • Existing Taxi Business Model
  • Autonomous Taxis-Value Chain and Future Business Model
  • Autonomous Taxis-Business Model Analysis
  • Autonomous Taxis-Pricing Model
  • Autonomous Taxis-Revenue Forecast
  • AD Services
  • Autonomous Shuttles-Value Chain and Business Models
  • Autonomous Shuttles-Pricing Models
  • Autonomous Shuttles-Revenue Forecast

Peripheral Services

  • AD Services
  • On-Demand/User Insurance-Value Chain and Business Models
  • On-Demand/User Insurance-Value Chain and Business Models (continued)
  • On-Demand/User Insurance-Revenue Forecast
  • Case Study-Allianz Ventures
  • AD Services
  • Vehicle Data Services-Value Chain and Business Models
  • Vehicle Data Services-Value Chain and Business Models (continued)
  • Vehicle Data Services-Revenue Forecast
  • AD Services
  • Predictive Auto Maintenance-Value Chain and Business Models
  • Predictive Auto Maintenance-Revenue Forecast

Vehicle Services

  • AD Services
  • On-Demand Feature Updates-Business Model
  • On-Demand Feature Updates-Revenue Forecast
  • AD Services
  • Parking Services-Value Chain and Business Models
  • Parking Services-Revenue Forecast

Logistics Services

  • AD Services
  • Autonomous Delivery-Value Chain and Business Models
  • Impact of AD on Logistic Services
  • Changing Demand in Goods Flow-Long Haul & Inter City Distribution
  • Logistic Services-Revenue Forecast
  • Case Study-Delivery Solutions into the City by DPDgroup

Growth Opportunities and Companies to Action

  • Growth Opportunity-Investments From and Partnerships Among OEMs/TSPs
  • Strategic Imperatives for Success and Growth

Key Conclusions

  • Key Conclusions
  • The Last Word-3 Big Predictions
  • Legal Disclaimer

Appendix

  • List of Exhibits
  • List of Exhibits (continued)
  • List of Exhibits (continued)
  • List of Exhibits (continued)
  • List of Exhibits (continued)
  • Market Engineering Methodology