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市場調査レポート

世界の自動運転 (AD) 産業の展望:2019年

Global Autonomous Driving (AD) Industry Outlook, 2019

発行 Frost & Sullivan 商品コード 851172
出版日 ページ情報 英文 62 Pages
納期: 即日から翌営業日
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本日の銀行送金レート: 1USD=107.62円で換算しております。
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世界の自動運転 (AD) 産業の展望:2019年 Global Autonomous Driving (AD) Industry Outlook, 2019
出版日: 2019年05月09日 ページ情報: 英文 62 Pages
概要

2030年には販売される自動車の4台に1台 (1800万台) がL3以上の自動運転車となると予測されています。

当レポートでは、世界の自動運転 (AD) 産業の展望を調査し、産業および技術の定義と概要、主要動向と関連市場への影響、ケーススタディ、技術プロバイダー・サプライヤー・OEMの市場機会、企業および企業間の投資・提携などの動向、市場規模の推移と予測、成長機会・成功戦略の分析などをまとめています。

第1章 エグゼクティブサマリー

第2章 調査範囲・調査目的

第3章 定義

第4章 市場動向

  • 市場動向
  • ADのモビリティサービスへの影響
  • オートメーションの潜在性
  • ADの周辺サービスへの影響
  • ケーススタディ:Allianz Ventures
  • ADのロジスティクスサービスへの影響
  • ケーススタディ:DPD groupのデリバリーソリューション
  • ADの自動車サービスへの影響
  • Waymo・Magnaの提携

第5章 技術動向

  • 技術動向
  • 将来の自動運転車プラットフォーム
  • ケーススタディ:Ford
  • 将来の自動運転車のためのセンサーフュージョンソリューション
  • 利用事例 (AEye, Inc.・Cortica)
  • 自動運転車のためのデータストレージ&コンピューティング
  • ケーススタディ:Volkswagen
  • テスト&バリデーション
  • ケーススタディ:PEGASUSリサーチプロジェクト

第6章 タイムライン・主要OEM&サプライヤーの取り組み

  • ADのロードマップ
  • OEMのプロファイル
  • 自動エコシステムにおけるM&A
  • AD産業に影響を及ぼす主要企業

第7章 市場動向・市場分析

  • 予測因子
  • 予測シナリオ
  • 世界市場の予測:L3/4/5
  • 世界市場の予測:用途別

第8章 成長機会・推奨行動

  • 成長機会:OEM/TSPからの投資・提携
  • 成功・成長のための戦略的必須要件

第9章 総論

第10章 付録

目次
Product Code: ME99-18

1 in 4 Cars Sold (18 Million) Globally is Expected to be Automated (L3 and Above) by 2030, with L4 Driving the Growth of Ownership

The autonomous driving industry is evolving at a rapid pace on various fronts such as advancements in technology as well as emergence of new business models. Traditionally, most major OEMs and Tier I suppliers have strived to explore the benefits of developing applications focused on the convergence of the three technology pillars: Connected, Autonomous, and Electric. However, the true potential of each of these technology pillars can be tapped only by the marriage of technology and service sectors of the industry. Technology and service integration has picked up pace in the recent years, with leading OEMs making investments and acquisitions in service-based companies.

Technologically, 2018 witnessed advancements in shared mobility platform, consolidation of E/E architecture, and advancements in integration of AI in every aspect of autonomous development. In 2019, Frost & Sullivan expects sensor solutions and teleoperation to emerge as key developments, while on the business front, OEMs and Tier I companies to prioritize pushing L2+ features in the market.

Research Highlights:

In this 2019 outlook, Frost & Sullivan has highlighted 1 Mega Trend and 3 key sub trends in each of the market and technological advancements, which will be impacted by autonomous driving.

Market trends include mobility services, peripheral services, logistics services, and vehicle services. Impact of autonomy will change these traditional business models while focusing on ways to monetize and personalize data.

In terms of technology, trends include autonomous vehicle platforms, sensor fusion solutions, data computing and storage, and testing and validation. With the industry evolving from ADAS-level sensors, the focus will be on developing L4 and L5 autonomous platform and building the necessary computational ecosystem.

This study highlights these trends and explains the impact along with use cases.

Key Issues Addressed:

  • What are the top trends that will drive the AD market in 2019? What impact will these trends have on the market?
  • What are the opportunities available for technology providers, suppliers, and OEMs in 2019?
  • What was the size of the total AD market in 2018, and how is it expected to grow by 2030 based on new SAE definitions?
  • How will autonomous shared mobility business impact the ownership model? What will be the share of vehicle ownership and usership by 2030?
  • What has been the mergers/acquisition/investment landscape in the autonomous ecosystem, and which are the key companies to watch out for?

Table of Contents

1. EXECUTIVE SUMMARY

  • 2018 Key Highlights
  • Impact of SAE Definitions
  • AD Trends
  • Market Trends
  • Technology Trends
  • Key Questions to Answer for AD Industry to Succeed in New Mobility World
  • 2019 Top 5 Predictions
  • Key Conclusions

2. RESEARCH SCOPE AND OBJECTIVES

  • Research Scope
  • Key Questions this Study will Answer

3. DEFINITIONS

  • Vehicle Segmentation
  • SAE Definitions

4. MARKET TRENDS

  • Market Trends for AD
  • Impact of AD on Mobility Services
  • Potential of Automation
  • Impact of AD on Peripheral Services
  • Case Study-Allianz Ventures
  • Impact of AD on Logistics Services
  • Case Study-Delivery Solutions into the City by DPDgroup
  • Impact of AD on Vehicle Services
  • Waymo and Magna Partnership

5. TECHNOLOGY TRENDS

  • Technology Trends for AD
  • Future Autonomous Vehicle Platforms
  • Case Study-Autonomous Vehicle Platform from Ford
  • Future Sensor Fusion Solution for Autonomous Vehicles
  • Use Case (AEye, Inc. and Cortica)
  • Data Storage and Computing for Autonomous Vehicles
  • Case Study-Volkswagen Automotive Cloud
  • Testing and Validation
  • Case Study-PEGASUS Research Project

6. AUTOMATED VEHICLE-TIMELINE AND MAJOR OEM AND SUPPLIER ACTIVITIES

  • AD Roadmap
  • OEM Profiles
  • OEM Profiles (continued)
  • Mergers and Acquisitions in Autonomous Ecosystem
  • Key Companies Influencing AD Industry

7. MARKET TRENDS AND ANALYSIS-2019

  • Forecasting Factors
  • Forecasting Scenarios
  • Market Volume of Automated Vehicles (L3/4/5) Globally by 2030
  • Market Volume by Application Globally by 2030

8. GROWTH OPPORTUNITIES AND COMPANIES TO ACTION

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

9. KEY CONCLUSIONS

  • Key Conclusions
  • Legal Disclaimer

10. APPENDIX

  • Market Engineering Methodology
  • Abbreviations and Acronyms Used
  • List of Exhibits
  • List of Exhibits (continued)
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