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自律走行トラックの世界市場：自律走行レベル別、推進力タイプ別、最終用途産業別、トラックタイプ別、地域別・予測

Global Autonomous Trucks Market By Level of Autonomy, By Propulsion Type, By Truck Type, By End-User, By Geographic Scope and Forecast

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英文 202 Pages
納期
2～3営業日
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価格表記: USDを日本円(税抜)に換算
本日の銀行送金レート: 1USD=144.76円
自律走行トラックの世界市場：自律走行レベル別、推進力タイプ別、最終用途産業別、トラックタイプ別、地域別・予測
出版日: 2025年04月29日
発行: Verified Market Research
ページ情報: 英文 202 Pages
納期: 2～3営業日
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概要

自律走行トラックの世界市場規模・予測

世界の自律走行トラックの市場規模は、2024年に30億4,000万米ドルと評価され、2026年～2032年にCAGR13.24%で成長し、2032年には82億2,000万米ドルに達すると予測されています。

自律走行トラックは、高度なセンサー、カメラ、人工知能（AI）を使用して車道を横断し、人間の操作を必要とせずに貨物を移動させる自動運転車両です。

ロジスティクスや貨物輸送で主に活用され、業務効率の向上、コスト削減、ドライバー不足の解消に役立っています。また、鉱業、農業、廃棄物管理産業でも日常的な輸送に利用できます。

自律走行トラックは、安全性の向上と燃料使用量の削減によって物流ビジネスを変革すると予測されています。規制の変更と技術の進歩に伴い、今後10年間で長距離貨物、スマートシティ、自動化サプライチェーンへのさらなる統合が進み、より広範な採用が予想されます。

自律走行トラックの世界市場力学

世界の自律走行トラック市場を形成している主な市場力学は以下の通りです：

主な市場促進要因

トラック業界における労働力不足：トラック運転手、特に長距離貨物における運転手の持続的な不足は、自律走行トラックに対する重要な動機となっています。企業は、増大する物資輸送需要を満たすため、人間のドライバーへの依存度を下げる解決策を求めています。2024年6月、米国運輸省は北米における緊急のドライバー不足を強調し、可能性のある解決策として自動運転トラックへの関心を再燃させました。

効率的で費用対効果の高い物流への需要の高まり：自律走行トラックは、燃料消費を削減し、ルートを改善し、停車せずに走行する能力を持つため、総合的な物流とサプライチェーンの効率を高めます。2024年5月、テスラは自動運転電気自動車「テスラ・セミ」のテスト成功を発表し、物流組織の長距離輸送における大幅なコスト削減を実証しました。

政府の支援と規制の枠組み：各国政府は、法的枠組み、パイロット・プログラム、採用インセンティブを通じて、自律走行車技術を段階的に支援しています。2024年4月、欧州委員会は自律走行車の試験に関する新たな基準を発表し、欧州の貨物輸送路における自動運転トラックの展開を加速させようとしています。

AIとセンサーの技術的進歩：AI、センサー技術、LiDARシステムにおけるブレークスルーは、自律走行トラックの能力を大幅に向上させ、実世界のシナリオにおける信頼性を高めています。2024年7月、グーグルの自動運転会社であるウェイモは、アリゾナの高速道路での試験走行に成功した後、アップグレードされたLiDARセンサーとより強力な意思決定アルゴリズムを搭載した新世代のAI駆動トラックを発売しました。

主な課題

規制と法的障壁：規制は自律走行トラック技術にとって大きなハードルとなっています。現在の交通規制と安全基準は主に人間のドライバーを対象としており、自律走行車に関する法的枠組みはまだ発展途上です。事故時の責任、サイバーセキュリティ、データプライバシーに関する懸念があります。自律走行トラックが広く使われるようになる前に、各国政府は明確な法律、試験基準、責任法を定めなければなりません。強力な法的枠組みが構築されるまでは、大量導入は制限されると思われます。

高い初期投資と運用コスト：自動運転トラックの開発と導入には、高度なセンサー、LiDAR、AIシステム、ネットワーク・インフラへの多大な投資が必要です。企業は、自律走行システムを統合し、車両を適合させ、最新技術を維持する際に、多額の先行投資を行います。こうした費用は成長とともに減少する可能性はあるもの、中小企業にとっては依然として障壁となっています。

技術的限界と安全性への懸念：自律走行技術は進歩していますが、完全自律走行トラックは、複雑な道路状況、悪天候、予測不可能な人間の行動の管理などの障害に直面し続けています。特に交通が混在する場所では、安全性が極めて重要です。システム故障のリスク、サイバーセキュリティの脆弱性、工事区域のような状況の変化に対応する能力は、すべて対処しなければならない重大な技術的課題です。

社会的受容と労働力の移動：自律走行トラックはトラック運転手の雇用を奪う可能性があり、労働組合や地域社会からの反発を招きます。さらに、安全性と信頼性の面で社会的信用を得るには、実質的な実地試験と社会的認識向上への取り組みが必要となります。

主要動向：

AIと機械学習の進歩：AIと機械学習は、自律走行トラックの意思決定能力を向上させる上で極めて重要です。これらの技術により、車両はセンサーやカメラからの大量のデータを処理できるようになり、困難な環境でも操縦できるようになります。AIアルゴリズムは、物体検出、ルート最適化、障害物回避の面で常に改善されており、自律走行トラックは、特に長距離貨物配送において、より効率的かつ安全に運行することができます。

パートナーシップとコラボレーション：自動運転トラックの開発と商業化を加速させるため、複数の自動車・テクノロジー企業が戦略的提携を結んでいます。ウェイモ（Waymo）、ダイムラー（Daimler）、テスラ（Tesla）は、自動運転トラックをサプライチェーンに統合するために物流企業と協力しています。こうした協力関係は、AI、センサー、ロジスティクスの専門知識を組み合わせることで、自動運転トラックの導入を加速させています。

電気自動車（EV）との統合：自律走行トラック・テクノロジーと電気自動車（EV）プラットフォームとの融合傾向が高まっています。自律走行型電気トラックは、一般的なディーゼルエンジン車に代わる、より環境に優しく効率的な選択肢を提供します。テスラやニコラなどの開発企業は、排出ガスを削減し、燃料コストを削減し、より効率的に走行することで、地球環境目標に調和すると主張する電気自律走行トラックを開発しています。

長距離輸送と貨物輸送への注力：長距離トラック輸送は、規則正しいルートと高速道路などの規制された環境のため、最も有望な用途とみなされており、したがって自律走行トラック開発は主にそこに集中しています。長距離貨物輸送は、ドライバーの疲労軽減と燃料効率の向上によるコスト削減の可能性が最も大きいです。よりダイナミックな条件を必要とする都市部やラストマイルの配送よりも自動化が容易なため、企業はこの分野を追求しています。

目次

第1章 世界の自律走行トラック市場のイントロダクション

  • 市場イントロダクション
  • 調査範囲
  • 前提条件

第2章 VERIFIED MARKET RESEARCHの調査手法

  • データマイニング
  • 2次調査
  • 1次調査
  • 専門家のアドバイス
  • 品質チェック
  • 最終レビュー
  • データの三角測量
  • ボトムアップアプローチ
  • トップダウンアプローチ
  • 調査の流れ
  • データソース

第3章 エグゼクティブサマリー

  • 概要
  • 絶対的収益機会
  • 市場の魅力
  • 将来の市場機会

第4章 自律走行トラックの世界市場展望

  • 概要
  • 市場力学
    • 促進要因
    • 抑制要因
    • 機会
  • ポーターのファイブフォースモデル
  • バリューチェーン分析

第5章 自律走行トラックの世界市場：自律走行レベル別

  • 概要
  • レベル1
  • レベル2
  • レベル3
  • レベル4

第6章 自律走行トラックの世界市場：推進力タイプ別

  • 概要
  • ICエンジン
  • 電気

第7章 自律走行トラックの世界市場：最終用途産業別

  • 概要
  • 製造業
  • 建設・鉱業
  • 軍事
  • FMCG
  • その他

第8章 自律走行トラックの世界市場：トラックタイプ別

  • 概要
  • 小型トラック
  • 中型トラック
  • 大型トラック

第9章 自律走行トラックの世界市場：地域別

  • 概要
  • 北米
    • 米国
    • カナダ
    • メキシコ
  • 欧州
    • ドイツ
    • 英国
    • フランス
    • その他欧州
  • アジア太平洋
    • 中国
    • 日本
    • インド
    • その他アジア太平洋
  • 世界のその他の地域
    • ラテンアメリカ
    • 中東・アフリカ

第10章 世界の自律走行トラック市場の競合情勢

  • 概要
  • 各社の市場ランキング
  • 主な開発戦略
  • 企業の地域フットプリント
  • 企業の産業フットプリント
  • ACEマトリックス

第11章 企業プロファイル

  • AB Volvo
  • Uber Technologies Inc.
  • Daimler AG
  • Denso
  • Ford Motor Co.
  • Tesla Inc.
  • Aptiv
  • Paccar
  • IVICO
  • Robert Bosch

第12章 主な発展

  • 製品発売/開発
  • 合併と買収
  • 事業拡大
  • パートナーシップと提携

第13章 付録

  • 関連調査
目次
Product Code: 32374

Global Autonomous Trucks Market Size and Forecast

Global Autonomous Trucks Market size was valued at USD 3.04 Billion in 2024 and is projected to reach USD 8.22 Billion by 2032, growing at a CAGR of 13.24% from 2026 to 2032.

Autonomous trucks are self-driving vehicles that use advanced sensors, cameras, and artificial intelligence (AI) to traverse roadways and move cargo without the need for human interaction.

They are largely utilized in logistics and freight transportation to improve operational efficiency, lower costs, and address driver shortages. They can also be used in the mining, agriculture, and waste management industries for everyday transportation.

Autonomous trucks are predicted to transform the logistics business by increasing safety and lowering fuel usage. As regulations change and technology progresses, wider adoption is expected, with further integration into long-haul freight, smart cities, and automated supply chains over the next decade.

Global Autonomous Trucks Market Dynamics

The key market dynamics that are shaping the global autonomous trucks market include:

Key Market Drivers:

Labor Shortages in the Trucking Industry: The persistent lack of truck drivers, particularly in long-haul freight, is a significant motivator for autonomous trucks. Companies are seeking for solutions to lessen their reliance on human drivers in order to fulfill the increasing demand for goods transportation. In June 2024, the US Department of Transportation emphasized the urgent driver shortage in North America, reigniting interest in self-driving trucks as a possible solution.

Increasing Demand for Efficient and Cost-Effective Logistics: Autonomous trucks have the ability to cut fuel consumption, improve routes, and run without stopping, hence enhancing total logistics and supply chain efficiency. In May 2024, Tesla announced successful testing of their self-driving electric vehicle, the Tesla Semi, demonstrating considerable cost reductions in long-haul transportation for logistics organizations.

Government Support and Regulatory Frameworks: Governments are progressively backing autonomous car technology through legal frameworks, pilot programs, and adoption incentives. In April 2024, the European Commission issued new criteria for autonomous vehicle testing, seeking to accelerate the deployment of self-driving trucks in Europe's freight corridors.

Technological Advancements in AI and Sensors: Breakthroughs in AI, sensor technology, and LiDAR systems have considerably increased autonomous trucks' capabilities, making them more trustworthy in real-world scenarios. In July 2024, Waymo, Google's self-driving company, launched a new generation of AI-driven trucks, with upgraded LiDAR sensors and more powerful decision-making algorithms, following successful test runs on Arizona highways.

Key Challenges:

Regulatory and Legal Barriers: Regulation presents substantial hurdles for autonomous truck technology. Current traffic regulations and safety standards are largely intended for human drivers, and the legal framework for autonomous cars is still growing. There are concerns about liability in the event of an accident, cybersecurity, and data privacy. Governments must set clear legislation, testing standards, and liability laws before autonomous trucks may be extensively used. Until a strong legal framework is built, mass adoption will be limited.

High Initial Investment and Operational Costs: Developing and implementing self-driving trucks necessitates considerable investments in advanced sensors, LiDAR, AI systems, and network infrastructures. Companies incur significant upfront expenditures when integrating autonomous systems, adapting fleets, and maintaining modern technology. Although these expenses may decrease with growth, they remain a barrier for small and medium-sized firms.

Technological Limitations and Safety Concerns: While autonomous technology has advanced, fully autonomous trucks continue to confront obstacles like as managing complex road conditions, inclement weather, and unpredictable human behavior. Safety is crucial, especially in mixed-traffic areas. The risk of system failure, cybersecurity vulnerabilities, and the ability to react to changing conditions such as construction zones are all significant technological challenges that must be addressed.

Public Acceptance and Workforce Displacement: The Autonomous trucks may result in job displacement for truck drivers, prompting opposition from labor unions and communities. Furthermore, obtaining public trust in terms of safety and dependability will necessitate substantial real-world testing and public awareness initiatives.

Key Trends:

Advancements in AI and Machine Learning: AI and machine learning are crucial to improving autonomous trucks' decision-making capabilities. These technologies enable vehicles to process massive volumes of data from sensors and cameras, allowing them to maneuver through difficult environments. AI algorithms are constantly improving in terms of object detection, route optimization, and obstacle avoidance, allowing autonomous trucks to operate more efficiently and safely, particularly for long-haul freight delivery.

Partnerships and Collaborations: Several automotive and technology businesses are creating strategic alliances to speed the development and commercialization of self-driving trucks. Waymo, Daimler, and Tesla are working with logistics firms to integrate self-driving trucks into the supply chain. These collaborations are accelerating the implementation of self-driving trucks by combining expertise in AI, sensors, and logistics.

Integration with Electric Vehicles (EVs): There is a growing trend of combining autonomous truck technology with electric vehicle (EV) platforms. Autonomous electric trucks provide a more environmentally friendly and efficient alternative to typical diesel-powered vehicles. Companies such as Tesla and Nikola are developing electric autonomous trucks that claim to cut emissions, slash fuel costs, and run more effectively, thereby harmonizing with global environmental goals.

Focus on Long-Haul and Freight Transport: Long-haul trucking is viewed as the most promising use due to regular routes and regulated surroundings such as highways, therefore autonomous truck development is largely focused there. Long-haul freight has the greatest potential for cost reductions due to reduced driver fatigue and improved fuel efficiency. Companies are pursuing this area because it is easier to automate than urban or last-mile deliveries, which require more dynamic conditions.

Global Autonomous Trucks Market Regional Analysis

Here is a more detailed regional analysis of the global autonomous trucks market:

North America:

North America currently controls the autonomous trucks market and is growing at the fastest rate. This leadership position is fueled by considerable investments from major automotive and technology businesses, advanced infrastructure, and favorable regulatory regimes in the United States and Canada. In March 2024 TuSimple stated that it would expand its autonomous freight network in Texas, while Waymo Via collaborated with J.B. Hunt to launch autonomous truck deliveries in the Southwest United States.

In January 2024, the United States Department of Transportation issued updated standards for autonomous vehicle testing and deployment, giving a more defined regulatory framework for manufacturers and operators. In May 2024, the Ontario government adopted new legislation allowing autonomous truck testing on public highways, reinforcing North America's status as a hub for autonomous vehicle development and implementation.

Asia Pacific:

The Asia Pacific area is emerging as the fastest-growing autonomous truck industry, with a projected CAGR of 17.8% between 2024 and 2028. China is driving this expansion, accounting for over 45% of the regional market share. In March 2024, Chinese autonomous driving company Plus.ai announced a collaboration with FAW Jiefang, one of China's top truck manufacturers, to deploy 1,000 autonomous vehicles on major freight routes by 2025. Meanwhile, in Japan, WABCO Holdings and Mitsubishi Fuso Truck and Bus Corporation announced a collaboration in January 2024 to develop Level 4 autonomous trucking technology, with plans to conduct public road tests by late 2024.

In November 2024, Singapore's Land Transport Authority announced the expansion of its autonomous vehicle testbed, enabling for longer trials of autonomous trucks in urban situations. The Asia Pacific autonomous truck market was worth $1.2 billion in 2024 and is predicted to exceed $3.5 billion by 2028, owing to rising labor shortages in the logistics sector and the region's strong manufacturing and e-commerce boom.

Global Autonomous Trucks Market: Segmentation Analysis

The Global Autonomous Trucks Market is segmented on the basis of By Level of Autonomy, By Propulsion Type, By Truck Type, By End-User and By Geography.

Global Autonomous Trucks Market, By Level of Autonomy

  • Level 1
  • Level 2
  • Level 3

Based on Level of Autonomy, the Global Autonomous Trucks Market is segmented into Level 1, Level 2, and Level 3. Level 2 autonomy is currently dominating, since semi-autonomous vehicles equipped with advanced driver assistance systems (ADAS) are commonly used for duties such as lane maintaining, adaptive cruise control, and emergency braking, particularly in logistics and freight. The fastest-growing area is Level 3 autonomy, which allows trucks to function without human assistance under specific conditions. Demand for this level is fast increasing as a result of technology breakthroughs in AI and sensor systems, as well as an increased interest in fully autonomous long-haul freight operations.

Global Autonomous Trucks Market, By Propulsion Type

  • IC Engine
  • Electric

Based on Propulsion Type, the Global Autonomous Trucks Market is segmented into IC Engine, Electric. The IC Engine (Internal Combustion Engine) category is currently dominant, with diesel-powered trucks remaining popular due to their established infrastructure and greater range capabilities, particularly for heavy-duty, long-haul transportation. However, the Electric segment is expanding at the highest rate, thanks to increased environmental restrictions, developments in battery technology, and a quest for cleaner, more sustainable transportation choices. Companies such as Tesla and Nikola are speeding the deployment of electric self-driving trucks.

Global Autonomous Trucks Market, By Truck Type

  • Light-Duty Trucks
  • Medium-Duty Trucks

Based on Truck Type, the Global Autonomous Trucks Market is segmented into Light-Duty Trucks and Medium-Duty Trucks. The light-duty trucks segment is currently dominant because these trucks are commonly utilized in cities for short-distance deliveries and last-mile logistics, where autonomous features can increase efficiency. Medium-Duty Trucks are the fastest-growing market, owing to increased usage in logistics and freight operations for regional and mid-range deliveries, where autonomy can lower costs and optimize route planning over longer distances.

Global Autonomous Trucks Market, By End-User

  • Manufacturing
  • Construction and Mining
  • Military

Based on End-User, the Global Autonomous Trucks Market is segmented into Manufacturing, Construction and Mining, Military. The Construction and Mining category is now dominant, as autonomous vehicles are widely utilized in these industries for repeated work in regulated conditions such as mine operations, where safety and efficiency are critical. The Military is the fastest-growing segment, because to increased investments in autonomous technologies for defense applications including moving supplies in dangerous locations and lowering dangers to soldiers during combat operations.

Global Autonomous Trucks Market, By Geography

  • North America
  • Europe
  • Asia Pacific
  • Rest of the World

Based on the Geography, the Global Autonomous Trucks Market are classified into North America, Europe, Asia Pacific, and Rest of the World. North America is currently the dominant region, with to superior infrastructure, governmental support, and large expenditures in autonomous vehicle technology, particularly in the United States. Asia Pacific is the fastest-growing area, with countries such as China and Japan accelerating autonomous technology adoption because to government efforts, AI developments, and rising need for logistics and transportation automation.

Key Players

The "Global Autonomous Trucks Market" study report will provide valuable insight with an emphasis on the global market. The major players in the market are AB Volvo, Uber Technologies, Inc., Daimler AG, Denso, Ford Motor Co., Tesla, Inc., Aptiv, BMW AG, Paccar, IVICO, Robert Bosch, MAN, DAF, Scania, Waymo.

Our market analysis also entails a section solely dedicated to such major players wherein our analysts provide an insight into the financial statements of all the major players, along with its product benchmarking and SWOT analysis. The competitive landscape section also includes key development strategies, market share, and market ranking analysis of the above-mentioned players globally.

  • Global Autonomous Trucks Market: Recent Developments
  • In March 2024, TuSimple performed a cross-state driverless freight delivery in the United States, marking a milestone in autonomous long-haul operations without human intervention. This delivery demonstrates the possibility for shorter shipping times and lower labor expenses.
  • In February 2024, Plus announced the deployment of its self-driving trucks in China's logistics industry, in partnership with prominent Chinese e-commerce platforms. These trucks are equipped with Level 3 autonomy and are expected to enhance delivery times while addressing driver shortages in China's rapidly expanding logistics industry.

TABLE OF CONTENTS

1 INTRODUCTION OF GLOBAL AUTONOMOUS TRUCK MARKET

  • 1.1 Introduction of the Market
  • 1.2 Scope of Report
  • 1.3 Assumptions

2 RESEARCH METHODOLOGY OF VERIFIED MARKET RESEARCH

  • 2.1 Data mining
  • 2.2 Secondary research
  • 2.3 Primary research
  • 2.4 Subject matter expert advice
  • 2.5 Quality check
  • 2.6 Final review
  • 2.7 Data Triangulation
  • 2.8 Bottom-up approach
  • 2.9 Top-down approach
  • 2.10 Research flow
  • 2.11 Data sources

3 EXECUTIVE SUMMARY

  • 3.1 Overview
  • 3.2 Absolute $ Opportunity
  • 3.3 Market attractiveness
  • 3.4 Future Market Opportunities

4 GLOBAL AUTONOMOUS TRUCK MARKET OUTLOOK

  • 4.1 Overview
  • 4.2 Market Dynamics
    • 4.2.1 Drivers
    • 4.2.2 Restraints
    • 4.2.3 Opportunities
  • 4.3 Porters Five Force Model
  • 4.4 Value Chain Analysis

5 GLOBAL AUTONOMOUS TRUCK MARKET, BY LEVEL OF AUTONOMY

  • 5.1 Overview
  • 5.2 Level1
  • 5.3 Level 2
  • 5.4 Level 3
  • 5.5 Level 4

6 GLOBAL AUTONOMOUS TRUCK MARKET, BY PROPULSION TYPE

  • 6.1 Overview
  • 6.2 IC Engine
  • 6.3 Electric

7 GLOBAL AUTONOMOUS TRUCK MARKET, BY END-USE INDUSTRY

  • 7.1 Overview
  • 7.2 Manufacturing
  • 7.3 Construction And Mining
  • 7.4 Military
  • 7.5 FMCG
  • 7.6 Others

8 GLOBAL AUTONOMOUS TRUCK MARKET, BY TRUCK TYPE

  • 8.1 Overview
  • 8.2 Light-Duty Trucks
  • 8.3 Medium-Duty Trucks
  • 8.4 Heavy-Duty Trucks

9 GLOBAL AUTONOMOUS TRUCK MARKET, BY GEOGRAPHY

  • 9.1 Overview
  • 9.2 North America
    • 9.2.1 U.S.
    • 9.2.2 Canada
    • 9.2.3 Mexico
  • 9.3 Europe
    • 9.3.1 Germany
    • 9.3.2 U.K.
    • 9.3.3 France
    • 9.3.4 Rest of Europe
  • 9.4 Asia Pacific
    • 9.4.1 China
    • 9.4.2 Japan
    • 9.4.3 India
    • 9.4.4 Rest of Asia Pacific
  • 9.5 Rest of the World
    • 9.5.1 Latin America
    • 9.5.2 Middle East and Africa

10 GLOBAL AUTONOMOUS TRUCK MARKET COMPETITIVE LANDSCAPE

  • 10.1 Overview
  • 10.2 Company Market Ranking
  • 10.3 Key Development Strategies
  • 10.4 Company Regional Footprint
  • 10.5 Company Industry Footprint
  • 10.6 ACE Matrix

11 COMPANY PROFILES

  • 11.1 AB Volvo
    • 11.1.1 Company Overview
    • 11.1.2 Company Insights
    • 11.1.3 Business Breakdown
    • 11.1.4 Product Benchmarking
    • 11.1.5 Key Developments
    • 11.1.6 Winning Imperatives
    • 11.1.7 Current Focus & Strategies
    • 11.1.8 Threat from Competition
    • 11.1.11 SWOT Analysis
  • 11.2 Uber Technologies Inc.
    • 11.2.1 Company Overview
    • 11.2.2 Company Insights
    • 11.2.3 Business Breakdown
    • 11.2.4 Product Benchmarking
    • 11.2.5 Key Developments
    • 11.2.6 Winning Imperatives
    • 11.2.7 Current Focus & Strategies
    • 11.2.8 Threat from Competition
    • 11.2.11 SWOT Analysis
  • 11.3 Daimler AG
    • 11.3.1 Company Overview
    • 11.3.2 Company Insights
    • 11.3.3 Business Breakdown
    • 11.3.4 Product Benchmarking
    • 11.3.5 Key Developments
    • 11.3.6 Winning Imperatives
    • 11.3.7 Current Focus & Strategies
    • 11.3.8 Threat from Competition
    • 11.3.11 SWOT Analysis
  • 11.4 Denso
    • 11.4.1 Company Overview
    • 11.4.2 Company Insights
    • 11.4.3 Business Breakdown
    • 11.4.4 Product Benchmarking
    • 11.4.5 Key Developments
    • 11.4.6 Winning Imperatives
    • 11.4.7 Current Focus & Strategies
    • 11.4.8 Threat from Competition
    • 11.4.11 SWOT Analysis
  • 11.5 Ford Motor Co.
    • 11.5.1 Company Overview
    • 11.5.2 Company Insights
    • 11.5.3 Business Breakdown
    • 11.5.4 Product Benchmarking
    • 11.5.5 Key Developments
    • 11.5.6 Winning Imperatives
    • 11.5.7 Current Focus & Strategies
    • 11.5.8 Threat from Competition
    • 11.5.11 SWOT Analysis
  • 11.6 Tesla Inc.
    • 11.6.1 Company Overview
    • 11.6.2 Company Insights
    • 11.6.3 Business Breakdown
    • 11.6.4 Product Benchmarking
    • 11.6.5 Key Developments
    • 11.6.6 Winning Imperatives
    • 11.6.7 Current Focus & Strategies
    • 11.6.8 Threat from Competition
    • 11.6.11 SWOT Analysis
  • 11.7 Aptiv
    • 11.7.1 Company Overview
    • 11.7.2 Company Insights
    • 11.7.3 Business Breakdown
    • 11.7.4 Product Benchmarking
    • 11.7.5 Key Developments
    • 11.7.6 Winning Imperatives
    • 11.7.7 Current Focus & Strategies
    • 11.7.8 Threat from Competition
    • 11.7.11 SWOT Analysis
  • 11.8 Paccar
    • 11.8.1 Company Overview
    • 11.8.2 Company Insights
    • 11.8.3 Business Breakdown
    • 11.8.4 Product Benchmarking
    • 11.8.5 Key Developments
    • 11.8.6 Winning Imperatives
    • 11.8.7 Current Focus & Strategies
    • 11.8.8 Threat from Competition
    • 11.8.11 SWOT Analysis
  • 11.9 IVICO
    • 11.9.1 Company Overview
    • 11.9.2 Company Insights
    • 11.9.3 Business Breakdown
    • 11.9.4 Product Benchmarking
    • 11.9.5 Key Developments
    • 11.9.6 Winning Imperatives
    • 11.9.7 Current Focus & Strategies
    • 11.11.8 Threat from Competition
    • 11.11.11 SWOT Analysis
  • 11.10 Robert Bosch
    • 11.10.1 Company Overview
    • 11.10.2 Company Insights
    • 11.10.3 Business Breakdown
    • 11.10.4 Product Benchmarking
    • 11.10.5 Key Developments
    • 11.10.6 Winning Imperatives
    • 11.10.7 Current Focus & Strategies
    • 11.10.8 Threat from Competition
    • 11.10.11 SWOT Analysis

12 KEY DEVELOPMENTS

  • 12.1 Product Launches/Developments
  • 12.2 Mergers and Acquisitions
  • 12.3 Business Expansions
  • 12.4 Partnerships and Collaborations

13 APPENDIX

  • 13.1 Related Research