自律走行車市場の2030年までの予測： コンポーネント別、自動化レベル別、車両タイプ別、技術別、用途別、地域別の世界分析

Stratistics MRCによると、自律走行車の世界市場は2024年に608億米ドルを占め、予測期間中のCAGRは19.9％で成長し、2030年には1,806億米ドルに達すると予測されています。

自律走行車は、しばしば自律走行車やドライバーレス車と呼ばれ、高度なセンサー、ソフトウェア、人工知能（AI）アルゴリズムを搭載し、人間の介入なしにナビゲーションや操作を行うことができる車両です。これらの車両は、環境を認識し、感覚データを解釈し、自律的に道路をナビゲートし、障害物を回避し、交通法規を遵守するための決定を下すことができます。自律走行車は、安全性、効率性、アクセシビリティを向上させることで、交通に革命をもたらす可能性を秘めています。ヒューマンエラーによる交通事故を減らし、交通の流れを最適化し、年齢や障害、その他の要因で運転できない人々にモビリティソリューションを提供することが期待されています。

自動車業界情報のリーダーであるオートモーティブ・ワールド社によると、2050年には世界中で20億台以上の自動車が普及するといいます。環境保護庁（EPA）によると、米国では一酸化炭素の75％以上が自動車から排出されています。

mobility as a serviceの台頭

MaaSは、様々な交通サービスを統一されたプラットフォームに統合し、ユーザーにAVを含む多様なモビリティ・オプションへのシームレスなアクセスを提供します。AVをMaaSネットワークに組み込むことで、このテクノロジーは消費者の間でより広く知られ、受け入れられるようになります。MaaSプラットフォームはAVの利用を最適化し、ダウンタイムを減らして運行効率を高める。さらに、MaaSのデータ駆動型の性質は、AVアルゴリズムの継続的な改善を可能にし、リアルタイムのモニタリングと分析を通じて安全性を高める。

責任と法的問題

自律走行車が関与する事故が発生した場合、誰が責任を負うのかが不透明なため、保険や法的枠組みが複雑化しています。メーカー、ソフトウェア開発者、さらには車両所有者までもが責任を問われる可能性があり、複雑な法的もつれの網が張り巡らされています。しかし、管轄区域によって異なる規制が問題をさらに悪化させ、自律走行車の普及と導入を妨げています。こうした要素が市場の成長を妨げています。

商用アプリケーションへの注目の高まり

ロジスティクス、輸送、配送サービスなどの商業部門は、自律走行車が業務を合理化し、コストを削減し、効率を高める可能性を認識しています。企業は、自律走行技術を自社車両に統合するための研究開発に多額の投資を行い、その利点を活用しようとしています。このような営利団体による関心の高まりが技術革新に拍車をかけ、自律走行車の機能、安全機能、インフラサポートの進歩につながっています。さらに、商用アプリケーションでは拡張性と信頼性が求められるため、メーカーは厳格な業界標準を満たすために自律走行システムを改良する必要に迫られています。

データ・セキュリティへの懸念

データ・セキュリティへの懸念は、自律走行車市場の進歩に大きなハードルをもたらしています。自律走行車には高度なセンサー、カメラ、接続機能が統合されているため、乗客、ルート、場所に関する機密情報を含む膨大な量のデータが生成されます。このデータは、ハッキング、データ漏洩、不正アクセスといったサイバー脅威に対して脆弱になります。しかし、個人情報の盗難、監視、車両機能の操作など、このデータが悪用される可能性についての懸念は、自律走行車に対する消費者の信頼と信用を損なう。

COVID-19の影響：

当初、パンデミックはサプライチェーンを混乱させ、生産の遅れにつながり、自律走行車の配備を妨げました。社会的距離を置く措置や戸締まりによってライドヘイリングサービスの需要が減少し、自律走行車のテストや導入に影響が出ました。しかし、パンデミックは安全性と衛生面の重要性を浮き彫りにし、公共交通機関や共有モビリティサービス向けの自動運転技術開発への注力を促しました。

予測期間中、ドライバー支援分野が最大となる見込み

ドライバー・アシスタンス・セグメントは予測期間中に最大となる見込みであり、アダプティブ・クルーズ・コントロール、レーンキーピング・アシスタンス、自動緊急ブレーキなどの機能を統合することで、ドライバー・アシスタンス・システムは半自律走行機能に徐々に慣れさせながら、車両の安全性と快適性を高める。こうした技術はヒューマンエラーを軽減し、事故を減らし、トラストフローを改善するため、消費者や規制当局の間で自律走行技術に対する受け入れと信頼が高まっています。

予測期間中、CAGRが最も高くなると予想されるのはライドシェア分野です。

ライドシェア分野は、この技術の日常生活への導入と統合のための自然な道を提供することで、予測期間中のCAGRが最も高くなると予想されます。ライドシェア企業は、運行コストの削減、効率性の向上、顧客体験の強化を目指し、自律走行車をフリートへ組み込む最前線にいます。自律走行技術を活用することで、ライドシェアサービスは収益性を維持しながら、顧客により安い運賃を提供することができます。さらに、これらのサービスは自律走行車システムの重要な実験場として機能し、開発者は実世界のデータを収集し、多様な都市環境で技術を改良することができます。

最大のシェアを占める地域

推定期間中、アジア太平洋地域が市場で最大のシェアを占めました。この地域の成長は、5Gネットワーク、モノのインターネット（IoT）センサー、人工知能などの最先端技術の交通システムへの統合によって支えられています。接続性の強化により、車両、インフラ、その他のスマートデバイス間のシームレスな通信が可能になり、地域全体でより安全で効率的な交通網が育まれます。こうした進歩は、交通安全の向上や渋滞の緩和だけでなく、革新的なモビリティ・サービスやスマートシティ構想への道を開き、同地域を世界の自律走行車市場の最前線に位置付けています。

CAGRが最も高い地域：

包括的な規制の枠組みを通じて、各国政府はAVの開発と展開を助長する環境を育成しており、アジア太平洋地域は予測期間中に有益な成長を示すと推定されます。政府は明確なガイドラインと基準を提供することで、メーカー、投資家、消費者を含む利害関係者に信頼を植え付け、地域全体のAV技術への革新と投資を刺激しています。さらに、アジア太平洋地域の規制には、研究助成金や税制優遇措置などのインセンティブや支援メカニズムが含まれていることが多く、業界プレーヤーと政府機関の協力を促し、AV開発のための活気あるエコシステムを育成しています。

無料のカスタマイズサービス

本レポートをご購読のお客様には、以下の無料カスタマイズオプションのいずれかをご利用いただけます：

• 企業プロファイル
  • 追加市場プレイヤーの包括的プロファイリング（3社まで）
  • 主要企業のSWOT分析（3社まで）
• 地域セグメンテーション
  • 顧客の関心に応じた主要国の市場推計・予測・CAGR（注：フィージビリティチェックによる）
• 競合ベンチマーキング
  • 製品ポートフォリオ、地理的プレゼンス、戦略的提携に基づく主要企業のベンチマーキング

目次

第1章 エグゼクティブサマリー

第2章 序文

• 概要
• ステークホルダー
• 調査範囲
• 調査手法
  • データマイニング
  • データ分析
  • データ検証
  • 調査アプローチ
• 調査情報源
  • 1次調査情報源
  • 2次調査情報源
  • 前提条件

第3章 市場動向分析

• 促進要因
• 抑制要因
• 機会
• 脅威
• 技術分析
• 用途分析
• 新興市場
• COVID-19の影響

第4章 ポーターのファイブフォース分析

• 供給企業の交渉力
• 買い手の交渉力
• 代替品の脅威
• 新規参入業者の脅威
• 競争企業間の敵対関係

第5章 世界の自律走行車市場：コンポーネント別

• ソフトウェア
• ハードウェア
• サービス

第6章 世界の自律走行車市場：自動化レベル別

• ドライバーアシスタンス
• 部分的自動化
• 条件付き自動化

第7章 世界の自律走行車市場：車両タイプ別

• 乗用車
• 商用車

第8章 世界の自律走行車市場：技術別

• 自動運転トラック
• 自動運転バス
• その他の技術

第9章 世界の自律走行車市場：用途別

• ライドヘイル
• ライドシェア
• その他の用途

第10章 世界の自律走行車市場：地域別

• 北米
  • 米国
  • カナダ
  • メキシコ
• 欧州
  • ドイツ
  • 英国
  • イタリア
  • フランス
  • スペイン
  • その他欧州
• アジア太平洋地域
  • 日本
  • 中国
  • インド
  • オーストラリア
  • ニュージーランド
  • 韓国
  • その他アジア太平洋地域
• 南米
  • アルゼンチン
  • ブラジル
  • チリ
  • その他南米
• 中東・アフリカ
  • サウジアラビア
  • アラブ首長国連邦
  • カタール
  • 南アフリカ
  • その他中東とアフリカ

第11章 主な発展

• 契約、パートナーシップ、コラボレーション、合弁事業
• 買収と合併
• 新製品発売
• 事業拡大
• その他の主要戦略

第12章 企業プロファイリング

• Audi
• BMW
• Continental AG
• Daimler Group
• Delphi
• Ford Motor
• General Motors
• Hyundai Motor Group
• Jaguar
• Renault
• Tesla
• Uber
• Volkswagen
• Volvo

List of Tables

• Table 1 Global Autonomous Vehicles Market Outlook, By Region (2022-2030) ($MN)
• Table 2 Global Autonomous Vehicles Market Outlook, By Component (2022-2030) ($MN)
• Table 3 Global Autonomous Vehicles Market Outlook, By Software (2022-2030) ($MN)
• Table 4 Global Autonomous Vehicles Market Outlook, By Hardware (2022-2030) ($MN)
• Table 5 Global Autonomous Vehicles Market Outlook, By Services (2022-2030) ($MN)
• Table 6 Global Autonomous Vehicles Market Outlook, By Automation Level (2022-2030) ($MN)
• Table 7 Global Autonomous Vehicles Market Outlook, By Driver Assistance (2022-2030) ($MN)
• Table 8 Global Autonomous Vehicles Market Outlook, By Partial Automation (2022-2030) ($MN)
• Table 9 Global Autonomous Vehicles Market Outlook, By Conditional Automation (2022-2030) ($MN)
• Table 10 Global Autonomous Vehicles Market Outlook, By Vehicle Type (2022-2030) ($MN)
• Table 11 Global Autonomous Vehicles Market Outlook, By Passenger Vehicles (2022-2030) ($MN)
• Table 12 Global Autonomous Vehicles Market Outlook, By Commercial Vehicles (2022-2030) ($MN)
• Table 13 Global Autonomous Vehicles Market Outlook, By Technology (2022-2030) ($MN)
• Table 14 Global Autonomous Vehicles Market Outlook, By Self-driving Truck (2022-2030) ($MN)
• Table 15 Global Autonomous Vehicles Market Outlook, By Self-driving Bus (2022-2030) ($MN)
• Table 16 Global Autonomous Vehicles Market Outlook, By Other Technologies (2022-2030) ($MN)
• Table 17 Global Autonomous Vehicles Market Outlook, By Application (2022-2030) ($MN)
• Table 18 Global Autonomous Vehicles Market Outlook, By Ride Hail (2022-2030) ($MN)
• Table 19 Global Autonomous Vehicles Market Outlook, By Ride Share (2022-2030) ($MN)
• Table 20 Global Autonomous Vehicles Market Outlook, By Other Applications (2022-2030) ($MN)
• Table 21 North America Autonomous Vehicles Market Outlook, By Country (2022-2030) ($MN)
• Table 22 North America Autonomous Vehicles Market Outlook, By Component (2022-2030) ($MN)
• Table 23 North America Autonomous Vehicles Market Outlook, By Software (2022-2030) ($MN)
• Table 24 North America Autonomous Vehicles Market Outlook, By Hardware (2022-2030) ($MN)
• Table 25 North America Autonomous Vehicles Market Outlook, By Services (2022-2030) ($MN)
• Table 26 North America Autonomous Vehicles Market Outlook, By Automation Level (2022-2030) ($MN)
• Table 27 North America Autonomous Vehicles Market Outlook, By Driver Assistance (2022-2030) ($MN)
• Table 28 North America Autonomous Vehicles Market Outlook, By Partial Automation (2022-2030) ($MN)
• Table 29 North America Autonomous Vehicles Market Outlook, By Conditional Automation (2022-2030) ($MN)
• Table 30 North America Autonomous Vehicles Market Outlook, By Vehicle Type (2022-2030) ($MN)
• Table 31 North America Autonomous Vehicles Market Outlook, By Passenger Vehicles (2022-2030) ($MN)
• Table 32 North America Autonomous Vehicles Market Outlook, By Commercial Vehicles (2022-2030) ($MN)
• Table 33 North America Autonomous Vehicles Market Outlook, By Technology (2022-2030) ($MN)
• Table 34 North America Autonomous Vehicles Market Outlook, By Self-driving Truck (2022-2030) ($MN)
• Table 35 North America Autonomous Vehicles Market Outlook, By Self-driving Bus (2022-2030) ($MN)
• Table 36 North America Autonomous Vehicles Market Outlook, By Other Technologies (2022-2030) ($MN)
• Table 37 North America Autonomous Vehicles Market Outlook, By Application (2022-2030) ($MN)
• Table 38 North America Autonomous Vehicles Market Outlook, By Ride Hail (2022-2030) ($MN)
• Table 39 North America Autonomous Vehicles Market Outlook, By Ride Share (2022-2030) ($MN)
• Table 40 North America Autonomous Vehicles Market Outlook, By Other Applications (2022-2030) ($MN)
• Table 41 Europe Autonomous Vehicles Market Outlook, By Country (2022-2030) ($MN)
• Table 42 Europe Autonomous Vehicles Market Outlook, By Component (2022-2030) ($MN)
• Table 43 Europe Autonomous Vehicles Market Outlook, By Software (2022-2030) ($MN)
• Table 44 Europe Autonomous Vehicles Market Outlook, By Hardware (2022-2030) ($MN)
• Table 45 Europe Autonomous Vehicles Market Outlook, By Services (2022-2030) ($MN)
• Table 46 Europe Autonomous Vehicles Market Outlook, By Automation Level (2022-2030) ($MN)
• Table 47 Europe Autonomous Vehicles Market Outlook, By Driver Assistance (2022-2030) ($MN)
• Table 48 Europe Autonomous Vehicles Market Outlook, By Partial Automation (2022-2030) ($MN)
• Table 49 Europe Autonomous Vehicles Market Outlook, By Conditional Automation (2022-2030) ($MN)
• Table 50 Europe Autonomous Vehicles Market Outlook, By Vehicle Type (2022-2030) ($MN)
• Table 51 Europe Autonomous Vehicles Market Outlook, By Passenger Vehicles (2022-2030) ($MN)
• Table 52 Europe Autonomous Vehicles Market Outlook, By Commercial Vehicles (2022-2030) ($MN)
• Table 53 Europe Autonomous Vehicles Market Outlook, By Technology (2022-2030) ($MN)
• Table 54 Europe Autonomous Vehicles Market Outlook, By Self-driving Truck (2022-2030) ($MN)
• Table 55 Europe Autonomous Vehicles Market Outlook, By Self-driving Bus (2022-2030) ($MN)
• Table 56 Europe Autonomous Vehicles Market Outlook, By Other Technologies (2022-2030) ($MN)
• Table 57 Europe Autonomous Vehicles Market Outlook, By Application (2022-2030) ($MN)
• Table 58 Europe Autonomous Vehicles Market Outlook, By Ride Hail (2022-2030) ($MN)
• Table 59 Europe Autonomous Vehicles Market Outlook, By Ride Share (2022-2030) ($MN)
• Table 60 Europe Autonomous Vehicles Market Outlook, By Other Applications (2022-2030) ($MN)
• Table 61 Asia Pacific Autonomous Vehicles Market Outlook, By Country (2022-2030) ($MN)
• Table 62 Asia Pacific Autonomous Vehicles Market Outlook, By Component (2022-2030) ($MN)
• Table 63 Asia Pacific Autonomous Vehicles Market Outlook, By Software (2022-2030) ($MN)
• Table 64 Asia Pacific Autonomous Vehicles Market Outlook, By Hardware (2022-2030) ($MN)
• Table 65 Asia Pacific Autonomous Vehicles Market Outlook, By Services (2022-2030) ($MN)
• Table 66 Asia Pacific Autonomous Vehicles Market Outlook, By Automation Level (2022-2030) ($MN)
• Table 67 Asia Pacific Autonomous Vehicles Market Outlook, By Driver Assistance (2022-2030) ($MN)
• Table 68 Asia Pacific Autonomous Vehicles Market Outlook, By Partial Automation (2022-2030) ($MN)
• Table 69 Asia Pacific Autonomous Vehicles Market Outlook, By Conditional Automation (2022-2030) ($MN)
• Table 70 Asia Pacific Autonomous Vehicles Market Outlook, By Vehicle Type (2022-2030) ($MN)
• Table 71 Asia Pacific Autonomous Vehicles Market Outlook, By Passenger Vehicles (2022-2030) ($MN)
• Table 72 Asia Pacific Autonomous Vehicles Market Outlook, By Commercial Vehicles (2022-2030) ($MN)
• Table 73 Asia Pacific Autonomous Vehicles Market Outlook, By Technology (2022-2030) ($MN)
• Table 74 Asia Pacific Autonomous Vehicles Market Outlook, By Self-driving Truck (2022-2030) ($MN)
• Table 75 Asia Pacific Autonomous Vehicles Market Outlook, By Self-driving Bus (2022-2030) ($MN)
• Table 76 Asia Pacific Autonomous Vehicles Market Outlook, By Other Technologies (2022-2030) ($MN)
• Table 77 Asia Pacific Autonomous Vehicles Market Outlook, By Application (2022-2030) ($MN)
• Table 78 Asia Pacific Autonomous Vehicles Market Outlook, By Ride Hail (2022-2030) ($MN)
• Table 79 Asia Pacific Autonomous Vehicles Market Outlook, By Ride Share (2022-2030) ($MN)
• Table 80 Asia Pacific Autonomous Vehicles Market Outlook, By Other Applications (2022-2030) ($MN)
• Table 81 South America Autonomous Vehicles Market Outlook, By Country (2022-2030) ($MN)
• Table 82 South America Autonomous Vehicles Market Outlook, By Component (2022-2030) ($MN)
• Table 83 South America Autonomous Vehicles Market Outlook, By Software (2022-2030) ($MN)
• Table 84 South America Autonomous Vehicles Market Outlook, By Hardware (2022-2030) ($MN)
• Table 85 South America Autonomous Vehicles Market Outlook, By Services (2022-2030) ($MN)
• Table 86 South America Autonomous Vehicles Market Outlook, By Automation Level (2022-2030) ($MN)
• Table 87 South America Autonomous Vehicles Market Outlook, By Driver Assistance (2022-2030) ($MN)
• Table 88 South America Autonomous Vehicles Market Outlook, By Partial Automation (2022-2030) ($MN)
• Table 89 South America Autonomous Vehicles Market Outlook, By Conditional Automation (2022-2030) ($MN)
• Table 90 South America Autonomous Vehicles Market Outlook, By Vehicle Type (2022-2030) ($MN)
• Table 91 South America Autonomous Vehicles Market Outlook, By Passenger Vehicles (2022-2030) ($MN)
• Table 92 South America Autonomous Vehicles Market Outlook, By Commercial Vehicles (2022-2030) ($MN)
• Table 93 South America Autonomous Vehicles Market Outlook, By Technology (2022-2030) ($MN)
• Table 94 South America Autonomous Vehicles Market Outlook, By Self-driving Truck (2022-2030) ($MN)
• Table 95 South America Autonomous Vehicles Market Outlook, By Self-driving Bus (2022-2030) ($MN)
• Table 96 South America Autonomous Vehicles Market Outlook, By Other Technologies (2022-2030) ($MN)
• Table 97 South America Autonomous Vehicles Market Outlook, By Application (2022-2030) ($MN)
• Table 98 South America Autonomous Vehicles Market Outlook, By Ride Hail (2022-2030) ($MN)
• Table 99 South America Autonomous Vehicles Market Outlook, By Ride Share (2022-2030) ($MN)
• Table 100 South America Autonomous Vehicles Market Outlook, By Other Applications (2022-2030) ($MN)
• Table 101 Middle East & Africa Autonomous Vehicles Market Outlook, By Country (2022-2030) ($MN)
• Table 102 Middle East & Africa Autonomous Vehicles Market Outlook, By Component (2022-2030) ($MN)
• Table 103 Middle East & Africa Autonomous Vehicles Market Outlook, By Software (2022-2030) ($MN)
• Table 104 Middle East & Africa Autonomous Vehicles Market Outlook, By Hardware (2022-2030) ($MN)
• Table 105 Middle East & Africa Autonomous Vehicles Market Outlook, By Services (2022-2030) ($MN)
• Table 106 Middle East & Africa Autonomous Vehicles Market Outlook, By Automation Level (2022-2030) ($MN)
• Table 107 Middle East & Africa Autonomous Vehicles Market Outlook, By Driver Assistance (2022-2030) ($MN)
• Table 108 Middle East & Africa Autonomous Vehicles Market Outlook, By Partial Automation (2022-2030) ($MN)
• Table 109 Middle East & Africa Autonomous Vehicles Market Outlook, By Conditional Automation (2022-2030) ($MN)
• Table 110 Middle East & Africa Autonomous Vehicles Market Outlook, By Vehicle Type (2022-2030) ($MN)
• Table 111 Middle East & Africa Autonomous Vehicles Market Outlook, By Passenger Vehicles (2022-2030) ($MN)
• Table 112 Middle East & Africa Autonomous Vehicles Market Outlook, By Commercial Vehicles (2022-2030) ($MN)
• Table 113 Middle East & Africa Autonomous Vehicles Market Outlook, By Technology (2022-2030) ($MN)
• Table 114 Middle East & Africa Autonomous Vehicles Market Outlook, By Self-driving Truck (2022-2030) ($MN)
• Table 115 Middle East & Africa Autonomous Vehicles Market Outlook, By Self-driving Bus (2022-2030) ($MN)
• Table 116 Middle East & Africa Autonomous Vehicles Market Outlook, By Other Technologies (2022-2030) ($MN)
• Table 117 Middle East & Africa Autonomous Vehicles Market Outlook, By Application (2022-2030) ($MN)
• Table 118 Middle East & Africa Autonomous Vehicles Market Outlook, By Ride Hail (2022-2030) ($MN)
• Table 119 Middle East & Africa Autonomous Vehicles Market Outlook, By Ride Share (2022-2030) ($MN)
• Table 120 Middle East & Africa Autonomous Vehicles Market Outlook, By Other Applications (2022-2030) ($MN)

According to Stratistics MRC, the Global Autonomous Vehicles Market is accounted for $60.8 billion in 2024 and is expected to reach $180.6 billion by 2030 growing at a CAGR of 19.9% during the forecast period. Autonomous vehicles, often referred to as self-driving cars or driverless cars, are vehicles equipped with advanced sensors, software, and artificial intelligence (AI) algorithms that enable them to navigate and operate without human intervention. These vehicles can perceive their environment, interpret sensory data, and make decisions to navigate roads, avoid obstacles, and adhere to traffic laws autonomously. Autonomous vehicles have the potential to revolutionize transportation by offering increased safety, efficiency and accessibility. They hold promise for reducing traffic accidents caused by human error, optimizing traffic flow, and providing mobility solutions for people who cannot drive due to age, disability, or other factors.

According to Automotive World Ltd., a leader in automotive industry information, there would be more than 2 billion cars across the globe in 2050. According to Environmental Protection Agency (EPA), in the U.S. more than 75% of the carbon monoxide is emitted by motor vehicles.

Market Dynamics:

Driver:

Rise of mobility as a service

MaaS integrates various transportation services into a unified platform, providing users with seamless access to diverse mobility options, including AVs. By incorporating AVs into MaaS networks, the technology gains broader exposure and acceptance among consumers. MaaS platforms optimize AV utilization, reducing downtime and increasing operational efficiency. Moreover, the data-driven nature of MaaS enables continuous improvement of AV algorithms and enhances safety through real-time monitoring and analysis.

Restraint:

Liability and legal issues

Uncertainty regarding who bears responsibility in the event of accidents involving autonomous vehicles complicates insurance and legal frameworks. Manufacturers, software developers, and even vehicle owners could potentially be held liable, creating a complex web of legal entanglements. However, differing regulations across jurisdictions further exacerbate the problem, hindering widespread adoption and deployment of autonomous vehicles. These elements are hindering the market growth.

Opportunity:

Increasing focus on commercial applications

Commercial sectors such as logistics, transportation, and delivery services are recognizing the potential of autonomous vehicles to streamline operations, reduce costs, and enhance efficiency. Businesses are investing heavily in research and development to integrate autonomous technology into their fleets, aiming to capitalize on its benefits. This heightened interest from commercial entities is spurring innovation, leading to advancements in autonomous vehicle capabilities, safety features, and infrastructure support. Moreover, as commercial applications demand scalability and reliability, manufacturers are compelled to refine autonomous systems to meet rigorous industry standards.

Threat:

Data security concerns

Data security concerns pose a significant hurdle in the advancement of the autonomous vehicles market. The integration of sophisticated sensors, cameras, and connectivity features in autonomous vehicles generates vast amounts of data, including sensitive information about passengers, routes, and locations. This data becomes vulnerable to cyber threats such as hacking, data breaches, and unauthorized access. However, concerns about the potential misuse of this data, including identity theft, surveillance, and manipulation of vehicle functions, undermine consumer trust and confidence in autonomous vehicles.

Covid-19 Impact:

Initially, the pandemic disrupted supply chains, leading to production delays and hindering the deployment of autonomous vehicles. Social distancing measures and lockdowns reduced demand for ride-hailing services, affecting autonomous vehicle testing and adoption. However, the pandemic highlighted the importance of safety and hygiene, prompting a greater focus on the development of self-driving technology for public transportation and shared mobility services.

The Driver Assistance segment is expected to be the largest during the forecast period

Driver Assistance segment is expected to be the largest during the forecast period, by integrating features such as adaptive cruise control, lane-keeping assistance, and automatic emergency braking, driver assistance systems enhance vehicle safety and comfort while gradually familiarizing users with semi-autonomous capabilities. These technologies mitigate human errors, reduce accidents, and improve traffic flow, thus fostering greater acceptance and trust in autonomous driving technology among consumers and regulators.

The Ride Share segment is expected to have the highest CAGR during the forecast period

Ride Share segment is expected to have the highest CAGR during the forecast period by providing a natural avenue for the adoption and integration of this technology into everyday life. Ride-sharing companies are at the forefront of incorporating autonomous vehicles into their fleets, aiming to reduce operational costs, increase efficiency, and enhance customer experience. By leveraging autonomous technology, ride-share services can offer lower fares to customers while still maintaining profitability. Additionally, these services act as a crucial testing ground for autonomous vehicle systems, allowing developers to collect real-world data and refine their technology in diverse urban environments.

Region with largest share:

Asia Pacific region commanded the largest share of the market over the extrapolated period. This regional growth is underpinned by the integration of cutting-edge technologies such as 5G networks, Internet of Things (IoT) sensors, and artificial intelligence into transportation systems. Enhanced connectivity enables seamless communication between vehicles, infrastructure, and other smart devices, fostering safer and more efficient transportation networks across the region. These advancements not only improve road safety and reduce congestion but also pave the way for innovative mobility services and smart city initiatives, positioning the region at the forefront of the global autonomous vehicles market.

Region with highest CAGR:

Through comprehensive regulatory frameworks, governments are fostering an environment conducive to AV development and deployment, Asia Pacific region is estimated to witness profitable growth during the projection period. By providing clear guidelines and standards, governments instill confidence among stakeholders, including manufacturers, investors and consumers, thus stimulating innovation and investment in AV technologies across the region. Moreover, regulations in the Asia Pacific region often include incentives and support mechanisms, such as research grants and tax breaks, which encourage collaboration between industry players and government agencies, fostering a vibrant ecosystem for AV development.

Key players in the market

Some of the key players in Autonomous Vehicles market include Audi, BMW, Continental AG, Daimler Group, Delphi, Ford Motor, General Motors, Hyundai Motor Group, Jaguar, Renault, Tesla, Uber, Volkswagen and Volvo.

Key Developments:

In August 2023, GTMC is expected to provide Pony.ai with a fleet of battery electric vehicles branded by Toyota. These vehicles are expected to feature sophisticated redundant systems of Toyota designed for Level 4 autonomous driving research and development. The autonomous driving technology of Pony.ai is expected to be seamlessly incorporated into these vehicles, and they are anticipated to be utilized on the PonyPilot + robotaxi network platform.

In July 2023, Volkswagen Group of America, Inc. (VWGoA) is commencing its inaugural autonomous vehicle testing initiative in Austin. The program is expected to launch with a fleet of 10 all-electric ID. Buzz vehicles equipped with an autonomous driving (AD) technology system, jointly developed by the global Volkswagen Group in collaboration with the technology firm Mobileye.

In July 2023, Tesla announced an investment of USD 1 billion for the development of project Dojo that aims to manage extensive volumes of data, with a specific focus on video feeds originating from Tesla vehicles, a crucial element in the advancement of autonomous driving software of the company.

Components Covered:

• Software
• Hardware
• Services

Automation Levels Covered:

• Driver Assistance
• Partial Automation
• Conditional Automation

Vehicle Types Covered:

• Passenger Vehicles
• Commercial Vehicles

Technologies Covered:

• Self-driving Truck
• Self-driving Bus
• Other Technologies

Applications Covered:

• Ride Hail
• Ride Share
• Other Applications

Regions Covered:

• North America
  • US
  • Canada
  • Mexico
• Europe
  • Germany
  • UK
  • Italy
  • France
  • Spain
  • Rest of Europe
• Asia Pacific
  • Japan
  • China
  • India
  • Australia
  • New Zealand
  • South Korea
  • Rest of Asia Pacific
• South America
  • Argentina
  • Brazil
  • Chile
  • Rest of South America
• Middle East & Africa
  • Saudi Arabia
  • UAE
  • Qatar
  • South Africa
  • Rest of Middle East & Africa

What our report offers:

• Market share assessments for the regional and country-level segments
• Strategic recommendations for the new entrants
• Covers Market data for the years 2022, 2023, 2024, 2026, and 2030
• Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
• Strategic recommendations in key business segments based on the market estimations
• Competitive landscaping mapping the key common trends
• Company profiling with detailed strategies, financials, and recent developments
• Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

• Company Profiling
  • Comprehensive profiling of additional market players (up to 3)
  • SWOT Analysis of key players (up to 3)
• Regional Segmentation
  • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
• Competitive Benchmarking
  • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface

• 2.1 Abstract
• 2.2 Stake Holders
• 2.3 Research Scope
• 2.4 Research Methodology
  • 2.4.1 Data Mining
  • 2.4.2 Data Analysis
  • 2.4.3 Data Validation
  • 2.4.4 Research Approach
• 2.5 Research Sources
  • 2.5.1 Primary Research Sources
  • 2.5.2 Secondary Research Sources
  • 2.5.3 Assumptions

3 Market Trend Analysis

• 3.1 Introduction
• 3.2 Drivers
• 3.3 Restraints
• 3.4 Opportunities
• 3.5 Threats
• 3.6 Technology Analysis
• 3.7 Application Analysis
• 3.8 Emerging Markets
• 3.9 Impact of Covid-19

4 Porters Five Force Analysis

• 4.1 Bargaining power of suppliers
• 4.2 Bargaining power of buyers
• 4.3 Threat of substitutes
• 4.4 Threat of new entrants
• 4.5 Competitive rivalry

5 Global Autonomous Vehicles Market, By Component

• 5.1 Introduction
• 5.2 Software
• 5.3 Hardware
• 5.4 Services

6 Global Autonomous Vehicles Market, By Automation Level

• 6.1 Introduction
• 6.2 Driver Assistance
• 6.3 Partial Automation
• 6.4 Conditional Automation

7 Global Autonomous Vehicles Market, By Vehicle Type

• 7.1 Introduction
• 7.2 Passenger Vehicles
• 7.3 Commercial Vehicles

8 Global Autonomous Vehicles Market, By Technology

• 8.1 Introduction
• 8.2 Self-driving Truck
• 8.3 Self-driving Bus
• 8.4 Other Technologies

9 Global Autonomous Vehicles Market, By Application

• 9.1 Introduction
• 9.2 Ride Hail
• 9.3 Ride Share
• 9.4 Other Applications

10 Global Autonomous Vehicles Market, By Geography

• 10.1 Introduction
• 10.2 North America
  • 10.2.1 US
  • 10.2.2 Canada
  • 10.2.3 Mexico
• 10.3 Europe
  • 10.3.1 Germany
  • 10.3.2 UK
  • 10.3.3 Italy
  • 10.3.4 France
  • 10.3.5 Spain
  • 10.3.6 Rest of Europe
• 10.4 Asia Pacific
  • 10.4.1 Japan
  • 10.4.2 China
  • 10.4.3 India
  • 10.4.4 Australia
  • 10.4.5 New Zealand
  • 10.4.6 South Korea
  • 10.4.7 Rest of Asia Pacific
• 10.5 South America
  • 10.5.1 Argentina
  • 10.5.2 Brazil
  • 10.5.3 Chile
  • 10.5.4 Rest of South America
• 10.6 Middle East & Africa
  • 10.6.1 Saudi Arabia
  • 10.6.2 UAE
  • 10.6.3 Qatar
  • 10.6.4 South Africa
  • 10.6.5 Rest of Middle East & Africa

11 Key Developments

• 11.1 Agreements, Partnerships, Collaborations and Joint Ventures
• 11.2 Acquisitions & Mergers
• 11.3 New Product Launch
• 11.4 Expansions
• 11.5 Other Key Strategies

12 Company Profiling

• 12.1 Audi
• 12.2 BMW
• 12.3 Continental AG
• 12.4 Daimler Group
• 12.5 Delphi
• 12.6 Ford Motor
• 12.7 General Motors
• 12.8 Hyundai Motor Group
• 12.9 Jaguar
• 12.10 Renault
• 12.11 Tesla
• 12.12 Uber
• 12.13 Volkswagen
• 12.14 Volvo