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自律走行/自動運転車の世界市場-2023年～2030年

Global Autonomous/Self-Driving Cars Market - 2023-2030
出版日: | 発行: DataM Intelligence | ページ情報: 英文 188 Pages | 納期: 約2営業日

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自律走行/自動運転車の世界市場-2023年～2030年
出版日: 2023年12月15日
発行: DataM Intelligence
ページ情報: 英文 188 Pages
納期: 約2営業日
ご注意事項 :
本レポートは最新情報反映のため適宜更新し、内容構成変更を行う場合があります。ご検討の際はお問い合わせください。
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  • 概要
  • 目次
概要

概要

自律走行車/自動運転車の世界市場は、2022年に256億米ドルに達し、2023～2030年の予測期間中にCAGR 27.8%で成長し、2030年には1,801億米ドルに達すると予測されます。

テスラ、ウェイモ、伝統的な自動車メーカーなどの大手企業は、自動車の自律性、安全機能、ユーザーエクスペリエンスを向上させるため、研究開発に大規模な投資を続けています。さらに、新規参入企業、新興企業、技術大手は独自の方法でイノベーションを進めており、破壊とイノベーションの機が熟した競合シーンに貢献しています。

しかし、法規制の壁、社会的信用への懸念、普及を促進するためのインフラ整備の必要性など、課題は依然として残っています。こうした課題に対処し、自律走行車が社会にシームレスに吸収されるようにするためには、業界関係者と利害関係者の協力が不可欠です。

インドでは、自律走行車技術に注力する新興企業が増えています。新興企業はセンサー技術、マッピング、AIアルゴリズムなどに注力しています。例えば、2022年5月、Chiratae Venturesは、安価な完全自動運転車を生産するインド初の企業のために170万米ドルのシードラウンドを主導しました。そのため、インドの自律走行車/自動運転車市場は予測期間において最も高い成長を遂げています。

力学

自動化の進展

自動化の程度は、消費者の採用と受容に直接的な影響を与えます。消費者の信頼と承認は、車両が人間の介入なしにほとんどまたはすべての運転操作を実行できるレベル4と5でより高くなります。より多くの人々が完全自律走行車を使用し、投資することを望むようになれば、市場は拡大します。

技術の進歩は、さまざまな自動化レベルの進化によってもたらされます。自律性のレベルを高めるには、人工知能、センサー技術、コンピューティング能力、通信の進歩が必要です。技術の進歩は、より複雑な自動運転機能の開発を可能にすることで、自律走行車市場をさらに推進します。

ほとんどの自動車は標準的なADAS機能しか備えていないが、AD機能のかなりの進歩が目前に迫っています。自動車は最終的に、自動車技術会（SAE）のレベル4（L4）または特定の条件下での 促進要因レス制御を達成することになります。ADシステムに対する需要の増加は、数十億米ドルの収益を生み出す可能性を秘めています。ライダーベースのレベル2+（L2+）機能を搭載した自動車の部品価格は1,500～2,000米ドルで、レベル3（L3）およびL4オプションを搭載した自動車はかなり高価です。

先進運転支援システム（ADAS）の改善

アダプティブ・クルーズ・コントロール、車線維持支援、自動緊急ブレーキなどのADAS技術は、自律走行システムの基礎となるものです。ADASは、ユーザーに自動運転を徐々に紹介し、自動運転技術に関する知識と快適性を向上させる。ADASの要素は、主に交通安全の向上を目的としています。

未来の 促進要因レス車には、安全運転を最大化するために 促進要因を支援するさまざまな先進運転支援システムが搭載されます。電子システムは、ADASの進歩と、レーダー、LiDAR、画像センサー、コンピューター・ビジョンなどの多くのデータソースの結果として改善されます。ADASの機能には、アダプティブ・クルーズ・コントロール、歩行者検知、駐車支援などがあります。全米安全評議会によると、ADAS技術は毎年最大3人の人命、または交通事故死者全体の62％を救うことができると思われます。

政府支援の増加と主要プレーヤー間の協力・統合

いくつかの政府は、自動運転車のテストと配備を管理するための規制を制定しています。これらの規則は、AVの安全要件、操作手順、責任の枠組みを定義することを目的としています。各国政府はまた、安全性を維持しながらイノベーションを促進するため、補助金や資金提供制度を通じてAV分野の研究開発を奨励しています。

AV開発に携わる自動車メーカーやテクノロジー企業は、数多くの団体や規制機関が定めた高い安全要件を遵守しなければならないです。IIHS、ICAT、NCAPなどの団体によって策定された基準は、衝突安全性、衝突回避性、その他の安全面など、指定された安全要件を満たす車両を設計する際にメーカーを支援します。

AVがネットワーク、AI、その他のソフトウェア・サービスに重点を置くようになるにつれ、メーカーはサイバーセキュリティ機能とサポートに多額の投資を行わなければならなくなります。これには、強固な認証と暗号化の仕組み、ファイアウォール、侵入検知システムの設置、セキュリティパッチとアップデートの定期的な配布などが含まれます。サイバーセキュリティは、乗客と車の両方の安全を保証するため、AV業界にとって重要な役割を担っています。さらに、AV企業は市場ごとに異なる消費者の嗜好や文化的特性を考慮しなければならないです。これは、マーケティング・キャンペーンやコミュニケーション戦術を地域の嗜好に合わせて調整することを意味します。

安全性と責任に関する懸念

自律走行車には重大な責任問題があります。事故における責任の所在は、自動車メーカー、ソフトウェア開発者、センサーやハードウェアのプロバイダー、さらには車両の所有者や運転者にまで及ぶ可能性があるため、判断が難しい場合があります。責任の枠組みが定義されていないため、法的不確実性が生じ、市場参加者の意欲を削ぐことになりかねないです。

自律走行技術の安全性を確保するためには、厳格なテストと検証プロセスが必要です。業界には、技術の信頼性と安全性を実証するための広範かつ多様な試験を実施するハードルがあります。こうした懸念に対処し、市場の成長を促進するためには、メーカー、規制当局、技術開発者など自律走行車分野のプレーヤーが協力して、明確な安全基準、責任の枠組み、強固な試験プロトコルを定義する必要があります。

目次

第1章 調査手法と調査範囲

第2章 定義と概要

第3章 エグゼクティブサマリー

第4章 市場力学

  • 影響要因
    • 促進要因
      • 自動化の進展
      • 先進運転支援システム（ADAS）の向上
      • 政府支援の増加、主要プレーヤー間の提携と統合
    • 抑制要因
      • 安全性と責任に関する懸念
    • 機会
    • 影響分析

第5章 産業分析

  • ポーターのファイブフォース分析
  • サプライチェーン分析
  • 価格分析
  • 規制分析
  • ロシア・ウクライナ戦争の影響分析
  • DMIの見解

第6章 COVID-19の分析

第7章 車種別

  • 乗用車
  • 商用車

第8章 自動化レベル別

  • L1
  • L2
  • L3
  • L4
  • L5

第9章 用途別

  • ロボタクシー
  • 物流・配送
  • パーソナルモビリティ
  • 公共交通
  • その他

第10章 地域別

  • 北米
    • 米国
    • カナダ
    • メキシコ
  • 欧州
    • ドイツ
    • 英国
    • フランス
    • イタリア
    • ロシア
    • その他欧州
  • 南米
    • ブラジル
    • アルゼンチン
    • その他南米
  • アジア太平洋
    • 中国
    • インド
    • 日本
    • オーストラリア
    • その他アジア太平洋地域
  • 中東・アフリカ

第11章 競合情勢

  • 競合シナリオ
  • 市況/シェア分析
  • M&A分析

第12章 企業プロファイル

  • Daimler AG
    • 会社概要
    • 車両ポートフォリオと概要
    • 財務概要
    • 主な発展
  • Waymo LLC（Google Inc.）
  • Toyota Motor Corp
  • Nissan Motor Co. Ltd
  • Volvo Car Group
  • General Motors Company
  • Volkswagen AG
  • Tesla Inc.
  • BMW AG Source
  • Aurora Innovation Inc.

第13章 付録

目次
Product Code: AUTR7562

Overview

Global autonomous/self-driving cars market reached US$ 25.6 billion in 2022 and is expected to reach US$ 180.1 billion by 2030, growing with a CAGR of 27.8% during the forecast period 2023-2030.

Major players like Tesla, Waymo and traditional automakers are continuing to invest extensively in R&D to improve car autonomy, safety features and user experience. Furthermore, new entrants, startups and tech giants are innovating in unique ways, contributing to a competitive scene ripe for disruption and innovation.

However, challenges like as legislative barriers, public trust concerns and the need for considerable infrastructure development to facilitate widespread implementation remain. Collaboration among industry players and stakeholders is essential for addressing these challenges and ensuring autonomous vehicles' seamless absorption into society.

In India, an increasing number of startups are focusing on autonomous vehicle technologies. The startups are focused on sensor technologies, mapping and AI algorithms, among other things. For instance, in May 2022, Chiratae Ventures led a US$ 1.7 million seed round for India's first company producing inexpensive fully self-driving cars. Therefore, the Indian autonomous/ self-driving cars market is witnessing the highest growth in the forecasted period.

Dynamics

Growing Level of Automation

The degree of automation has a direct impact on consumer adoption and acceptance. Consumer trust and approval are more likely at Levels 4 and 5, where a vehicle can execute most or all driving operations without human intervention. As more people are willing to use and invest in completely autonomous vehicles, the market grows.

Technological advancement is driven by the evolution of various levels of automation. Artificial intelligence, sensor technologies, computing power and communication advancements are required to achieve increased levels of autonomy. The technology advancement propels the autonomous vehicle market further by allowing for the development of more complex self-driving capabilities.

Most automobiles are equipped with only standard ADAS features, but considerable advancements in AD capabilities are on the horizon. Vehicles will eventually accomplish Society of Automotive Engineers (SAE) Level 4 (L4) or driverless control under specific conditions. An increase in demand for AD systems has the potential to generate billions of dollars in revenue. Vehicles with lidar-based Level 2+ (L2+) capabilities cost between US$ 1,500 to US$ 2,000 in component prices and automobiles with Level 3 (L3) and L4 options cost considerably more.

Improving Advanced Driving Assistance Systems (ADAS)

ADAS technology such as adaptive cruise control, lane-keeping assistance and automatic emergency braking serve as the foundation for autonomous systems. It introduces users to automation gradually, improving their knowledge and comfort with self-driving technologies. ADAS elements are primarily intended to increase road safety.

The future of driverless vehicles will have a variety of Advanced Driving Assistance Systems to assist motorists in maximizing driving safety. The electronic systems improve as a result of ADAS advancement and many data sources, including radar, LiDAR, image sensors and computer vision. ADAS features include adaptive cruise control, pedestrian detection and parking assistance. According to the National Safety Council, ADAS technologies can save up to three lives each year or 62% of all road fatalities.

Increasing Government Support and Collaborations and Consolidations Across Key Players

Several governments are enacting regulations to govern the testing and deployment of self-driving vehicles. The rules are intended to define AV safety requirements, operating procedures and liability frameworks. Governments are also encouraging R&D in the AV sector through grants and funding schemes in order to foster innovation while maintaining safety.

Automobile manufacturers and technology companies engaged in AV development have to adhere to high safety requirements established by numerous organizations and regulatory bodies. Standards established by organizations such as the IIHS, ICAT, NCAP and others aid manufacturers in designing vehicles that fulfill specified safety requirements such as crashworthiness, crash avoidance and other aspects of safety.

As AVs become more focused on networking, AI and other software services, players must invest heavily in cybersecurity features and support. It could include setting in place robust authentication and encryption mechanisms, firewalls and intrusion detection systems and distributing security patches and updates on a regular basis. Cybersecurity is an important part of the AV industry since it assures the safety of both passengers and cars. Furthermore, AV companies must consider the varied consumer preferences and cultural characteristics of each market. It could imply tailoring marketing campaigns and communication tactics to regional preferences.

Safety and Liability Concerns

Autonomous vehicles pose significant liability concerns. Liability in an accident can be difficult to determine because it may involve the car manufacturer, software developers, sensor and hardware providers and even the vehicle owner or operator. The absence of a defined liability framework could lead to legal uncertainty and discourage market players.

To ensure the safety of autonomous technology, stringent testing and validation processes are required. The industry has hurdles in undertaking extensive and diversified testing to demonstrate the reliability and safety of the technology. To address these concerns and foster market growth, players in the autonomous vehicle sector, such as manufacturers, regulators and technology developers, must collaborate to define clear safety standards, liability frameworks and robust testing protocols.

Segment Analysis

The global autonomous/self-driving cars market is segmented based on vehicle, level of automation, application and region.

Operational Efficiency Drives the Level 4 Automation in Autonomous Vehicles

Fully autonomous cars can run continuously without stopping for rest, resulting in greater operational efficiency. Companies that use Level 4 autonomous vehicles may conserve cost on labor and boost productivity. Level 4 autonomy allows cars to function in particular situations or environments without constant human supervision. Because there is less need for human interaction, operational efficiency improves by eliminating human errors and enhancing the vehicle's capacity to operate safely and effectively.

For instance, in May 2023, A 200km test run was completed using a Level 4 autonomous driving system developed by Samsung. According to reports, SAIT (Samsung Advanced Institute of Technology) completed a "driver-free" test from Suwon to Gangneung in South Korea. Therefore, above development and factor drives the growth of the level 4 automation segment in global market and accounts for the significant shares in the global market.

Geographical Penetration

Rising Vehicle Development and Advancement Drives the Regional Growth

Robust R&D investments are supporting breakthroughs in autonomous car technologies. Companies in U.S. are pioneering the development of cutting-edge technologies essential to obtaining increased degrees of autonomy, with a focus on safety, dependability and real-time ability to make decisions.

North America is at the leading edge of technical innovation, with numerous corporations investing extensively in self-driving car development. Tesla, Alphabet's Waymo, Uber and traditional manufacturers are driving the market along with continually enhancing AI, sensor technology and connection solutions. As a result, the market in North America is expected to increase the highest throughout the forecast period.

COVID-19 Impact Analysis

Because lockdowns and social distancing measures precluded outdoor testing and collaborative efforts among teams working on self-driving technology, the epidemic impacted autonomous car research, development and testing. While some consumers embraced the thought of self-driving cars as a method to limit contact with people, others voiced reservations about the safety of autonomous technology, which could have an impact on long-term market acceptability.

The global autonomous/self-driving cars industry was influenced by the COVID-19 epidemic in two ways: it accelerated the deployment of self-driving technology for contactless services while also posing challenges in terms of testing, supply networks and regulatory changes. The market continues to evolve as the world adjusts to the post-pandemic scenario, with a combination of positive and negative influences affecting its direction.

Russia-Ukraine War Impact Analysis

The protracted conflict has increased geopolitical tensions between Russia, Ukraine and Western nations. Economic sanctions have resulted, as have strained international ties. Global investments and collaborations, which are critical for the development and deployment of self-driving technology, can be harmed by such geopolitical uncertainty.

Ukraine has long been an important center for technology-related manufacturing, including hardware components required in self-driving cars. Because of the conflicts, supply networks have been disrupted, increasing concerns about the availability of critical components. The has had an impact on the production timelines and costs of self-driving technologies.

By Vehicle

  • Passenger Cars
  • Commercial Vehicles

By Level of Automation

  • L1
  • L2
  • L3
  • L4
  • L5

By Application

  • Robo-Taxis
  • Logistics and Delivery
  • Personal Mobility
  • Public Transportation
  • Others

By Region

  • North America
    • U.S.
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • France
    • Italy
    • Russia
    • Rest of Europe
  • South America
    • Brazil
    • Argentina
    • Rest of South America
  • Asia-Pacific
    • China
    • India
    • Japan
    • Australia
    • Rest of Asia-Pacific
  • Middle East and Africa

Key Developments

  • In October 2022, A Chinese joint venture will start mass-production of an autonomous electric car. Jidu Automotive, funded by Chinese AI company Baidu and Chinese automaker Geely, has unveiled the Robo-01 Lunar Edition, an autonomous electric vehicle.
  • In 2021, Toyota Motor Corp. unveiled new Lexus LS and Toyota Mirai models in Japan, both of which are equipped with Advanced Drive, a Level 2 autonomous system that aids in keeping the car in its lane, maintaining distance from other vehicles, assisting with lane changes and providing advanced-driver support.
  • In 2021, Aurora formed a strategic alliance with Toyota and Denso to develop and deploy self-driving vehicles on a large scale. The collaboration will manufacture and test driverless vehicles outfitted with the Aurora Driver, beginning with the Toyota Sienna. Companies intend to begin testing an initial fleet of Siennas before the end of 2021.

Competitive Landscape

The major global players in the market include: Daimler AG, Waymo LLC (Google Inc.), Toyota Motor Corp, Nissan Motor Co. Ltd, Volvo Car Group, General Motors Company, Volkswagen AG, Tesla Inc., BMW AG Source and Aurora Innovation Inc.

Why Purchase the Report?

  • To visualize the global autonomous/self-driving cars market segmentation based on vehicle, level of automation, application and region, as well as understand key commercial assets and players.
  • Identify commercial opportunities by analyzing trends and co-development.
  • Excel data sheet with numerous data points of autonomous/self-driving cars market-level with all segments.
  • PDF report consists of a comprehensive analysis after exhaustive qualitative interviews and an in-depth study.
  • Vehicle mapping available as excel consisting of key products of all the major players.

The global autonomous/self-driving cars market report would provide approximately 61 tables, 57 figures and 188 Pages.

Target Audience 2023

  • Manufacturers/ Buyers
  • Industry Investors/Investment Bankers
  • Research Professionals
  • Emerging Companies

Table of Contents

1. Methodology and Scope

  • 1.1. Research Methodology
  • 1.2. Research Objective and Scope of the Report

2. Definition and Overview

3. Executive Summary

  • 3.1. Snippet by Vehicle
  • 3.2. Snippet by Level of Automation
  • 3.3. Snippet by Application
  • 3.4. Snippet by Region

4. Dynamics

  • 4.1. Impacting Factors
    • 4.1.1. Drivers
      • 4.1.1.1. Growing Level of Automation
      • 4.1.1.2. Improving Advanced Driving Assistance Systems (ADAS)
      • 4.1.1.3. Increasing Government Support and Collaborations and Consolidations Across Key Players
    • 4.1.2. Restraints
      • 4.1.2.1. Safety and Liability Concerns
    • 4.1.3. Opportunity
    • 4.1.4. Impact Analysis

5. Industry Analysis

  • 5.1. Porter's Five Force Analysis
  • 5.2. Supply Chain Analysis
  • 5.3. Pricing Analysis
  • 5.4. Regulatory Analysis
  • 5.5. Russia-Ukraine War Impact Analysis
  • 5.6. DMI Opinion

6. COVID-19 Analysis

  • 6.1. Analysis of COVID-19
    • 6.1.1. Scenario Before COVID
    • 6.1.2. Scenario During COVID
    • 6.1.3. Scenario Post COVID
  • 6.2. Pricing Dynamics Amid COVID-19
  • 6.3. Demand-Supply Spectrum
  • 6.4. Government Initiatives Related to the Market During Pandemic
  • 6.5. Manufacturers Strategic Initiatives
  • 6.6. Conclusion

7. By Vehicle

  • 7.1. Introduction
    • 7.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Vehicle
    • 7.1.2. Market Attractiveness Index, By Vehicle
  • 7.2. Passenger Cars*
    • 7.2.1. Introduction
    • 7.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 7.3. Commercial Vehicles

8. By Level of Automation

  • 8.1. Introduction
    • 8.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Level of Automation
    • 8.1.2. Market Attractiveness Index, By Level of Automation
  • 8.2. L1*
    • 8.2.1. Introduction
    • 8.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 8.3. L2
  • 8.4. L3
  • 8.5. L4
  • 8.6. L5

9. By Application

  • 9.1. Introduction
    • 9.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 9.1.2. Market Attractiveness Index, By Application
  • 9.2. Robo-Taxis*
    • 9.2.1. Introduction
    • 9.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 9.3. Logistics and Delivery
  • 9.4. Personal Mobility
  • 9.5. Public Transportation
  • 9.6. Others

10. By Region

  • 10.1. Introduction
    • 10.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Region
    • 10.1.2. Market Attractiveness Index, By Region
  • 10.2. North America
    • 10.2.1. Introduction
    • 10.2.2. Key Region-Specific Dynamics
    • 10.2.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Vehicle
    • 10.2.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Level of Automation
    • 10.2.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 10.2.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 10.2.6.1. U.S.
      • 10.2.6.2. Canada
      • 10.2.6.3. Mexico
  • 10.3. Europe
    • 10.3.1. Introduction
    • 10.3.2. Key Region-Specific Dynamics
    • 10.3.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Vehicle
    • 10.3.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Level of Automation
    • 10.3.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 10.3.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 10.3.6.1. Germany
      • 10.3.6.2. UK
      • 10.3.6.3. France
      • 10.3.6.4. Italy
      • 10.3.6.5. Russia
      • 10.3.6.6. Rest of Europe
  • 10.4. South America
    • 10.4.1. Introduction
    • 10.4.2. Key Region-Specific Dynamics
    • 10.4.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Vehicle
    • 10.4.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Level of Automation
    • 10.4.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 10.4.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 10.4.6.1. Brazil
      • 10.4.6.2. Argentina
      • 10.4.6.3. Rest of South America
  • 10.5. Asia-Pacific
    • 10.5.1. Introduction
    • 10.5.2. Key Region-Specific Dynamics
    • 10.5.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Vehicle
    • 10.5.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Level of Automation
    • 10.5.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 10.5.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 10.5.6.1. China
      • 10.5.6.2. India
      • 10.5.6.3. Japan
      • 10.5.6.4. Australia
      • 10.5.6.5. Rest of Asia-Pacific
  • 10.6. Middle East and Africa
    • 10.6.1. Introduction
    • 10.6.2. Key Region-Specific Dynamics
    • 10.6.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Vehicle
    • 10.6.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Level of Automation
    • 10.6.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application

11. Competitive Landscape

  • 11.1. Competitive Scenario
  • 11.2. Market Positioning/Share Analysis
  • 11.3. Mergers and Acquisitions Analysis

12. Company Profiles

  • 12.1. Daimler AG*
    • 12.1.1. Company Overview
    • 12.1.2. Vehicle Portfolio and Description
    • 12.1.3. Financial Overview
    • 12.1.4. Key Developments
  • 12.2. Waymo LLC (Google Inc.)
  • 12.3. Toyota Motor Corp
  • 12.4. Nissan Motor Co. Ltd
  • 12.5. Volvo Car Group
  • 12.6. General Motors Company
  • 12.7. Volkswagen AG
  • 12.8. Tesla Inc.
  • 12.9. BMW AG Source
  • 12.10. Aurora Innovation Inc.

LIST NOT EXHAUSTIVE

13. Appendix

  • 13.1. About Us and Services
  • 13.2. Contact Us