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輸送における人工知能（AI）の世界市場

Artificial Intelligence (AI) in Transportation

出版日
ページ情報
英文 189 Pages
納期
即日から翌営業日
適宜更新あり
価格
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=148.47円
輸送における人工知能（AI）の世界市場
出版日: 2025年07月11日
発行: Global Industry Analysts, Inc.
ページ情報: 英文 189 Pages
納期: 即日から翌営業日
GIIご利用のメリット
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  • 概要
  • 目次
概要

輸送における人工知能（AI）の世界市場、2030年までに102億米ドルに到達見込み

2024年に42億米ドルと推定される輸送における人工知能（AI）の世界市場は、分析期間2024-2030年にCAGR 15.7％で成長し、2030年には102億米ドルに達すると予測されます。本レポートで分析しているセグメントの1つであるソフトウェアは、CAGR 17.0％を記録し、分析期間終了時には73億米ドルに達すると予測されています。ハードウェア分野の成長率は、分析期間中CAGR 12.9％と推定されます。

米国市場は12億米ドル、中国はCAGR 14.8％で成長すると予測

米国の輸送における人工知能（AI）市場は2024年に12億米ドルと推定されます。世界第2位の経済大国である中国は、2030年までに15億米ドルの市場規模に達すると予測され、分析期間2024-2030年のCAGRは14.8%です。その他の注目すべき地域別市場としては、日本とカナダがあり、分析期間中のCAGRはそれぞれ14.0％と13.2％と予測されています。欧州では、ドイツがCAGR 11.0%で成長すると予測されています。

世界の輸送における人工知能（AI）市場- 主要動向と促進要因まとめ

AIは自律走行車と安全性にどのような革命をもたらすか？

人工知能（AI）は、自律走行車の進歩を促進し、交通安全を大幅に向上させることで、輸送の状況を根本的に再構築しています。自律走行車は、LIDAR、レーダー、カメラなど、さまざまなセンサーからのリアルタイムデータを使用して、道路を「見て」、障害物を認識し、瞬時に判断して、環境を解釈し、ナビゲートするためにAIに大きく依存しています。AIアルゴリズム、特にディープラーニングとコンピュータービジョンを利用したアルゴリズムは、歩行者、交通標識、自転車、他の車両などの動的要素を識別し、反応するために不可欠です。実世界のシナリオを処理し対応するこの能力により、自律走行システムは人間のドライバーよりも効果的に事故を予測し回避することができます。さらに、AIは完全自律走行車にとどまらず、従来型車両の運転支援システムにも変革をもたらしつつあります。車線逸脱警告、アダプティブ・クルーズ・コントロール、衝突防止システムといったAI主導の機能は多くの自動車に標準装備されつつあり、交通事故の主な原因であるヒューマンエラーを低減しています。こうした技術の開発が進むにつれて、AIはより安全な道路を作り出し、渋滞を緩和し、より効率的な運転を促進することで環境への全体的な影響を低減することになります。規制当局が自律走行技術の安全基準とコンプライアンス基準を設定し始めていることから、AIは単に車両の運転方法を向上させるだけでなく、この技術が厳格な安全要件に合致することを保証する位置づけにあり、輸送の安全性と信頼性にとって大きな前進となります。

AIはどのように車両管理と運行効率を高めるのか？

商業輸送では、AIがフリート管理を変革し、企業がより効率的かつ経済的に事業を運営できるようにしています。高度なAI主導の分析を通じて、フリート・マネジャーは各車両の健康状態をリアルタイムで監視し、燃料消費量、エンジン性能、ブレーキ状態などの重要な指標を追跡し、メンテナンスが必要になる時期まで予測することができます。予知保全機能を活用することで、AIは車両のダウンタイムを最小限に抑え、コストと混乱を招く予期せぬ故障を防ぎます。車両管理へのこのプロアクティブなアプローチは、コストを削減するだけでなく、各資産の寿命を延ばし、価値を創造し、より信頼性の高いサービスを保証します。AIはルート計画を最適化することで、運行効率をさらに高める。交通パターン、天候、過去の配送タイムラインなどのデータを活用することで、AIは最も効率的な配送ルートを特定することができ、企業は燃料消費を抑え、輸送時間を短縮し、配送精度を向上させることができます。ロジスティクスや公共交通機関にとって、AIを活用した需要予測ツールも貴重です。季節動向、消費者需要、地域経済データを分析することで、AIは運行管理者がスケジュールとリソースを動的に調整し、サービスの可用性を向上させ、運行コストを削減するのに役立ちます。最適化されたルーティングと効率的な資源配分が二酸化炭素排出量の削減に貢献し、持続可能で環境に優しい輸送ソリューションに対する需要の高まりに合致するため、AIを活用したフリートマネジメントの環境面でのメリットも大きいです。

交通管理とインフラ開発においてAIが果たす役割とは？

AIは、交通管理を変革し、インフラ開発を導くための強力なツールであり、毎日何百万人もの人々に影響を与える都市計画における2つの重要な分野です。交通管理では、AIシステムがセンサー、監視カメラ、コネクテッドカーからのライブデータを分析し、交通の流れを監視し、渋滞ポイントを検出し、潜在的な遅延を予測します。このリアルタイムのデータにより、AIアルゴリズムは交通信号のタイミングをその場で調整したり、交通経路を変更したり、ドライバーに代替経路を警告したりすることが可能になり、最終的には渋滞の緩和、安全性の向上、スムーズな通勤が実現します。インフラ開発では、AIは都市計画者にとって不可欠であり、道路、橋、公共交通システムの設計を最適化するのに役立つ貴重な予測的洞察を提供します。人口増加予測、車両データ、通勤行動を分析することで、AIは現在の需要を満たすだけでなく、将来のニーズにも備えたインフラ整備を支援します。さらに、AIは、構造的な変化、摩耗、ストレスポイントを検出できる組み込みセンサーからのデータを通じて、重要なインフラの健全性を監視するのに役立ち、問題が高価で破壊的な故障に拡大する前に、早期のメンテナンスを可能にします。インフラ管理への予測的・予防的アプローチを可能にすることで、AIは、都市のモビリティ、安全性、住民の生活の質の向上に焦点を当てたスマートシティのビジョンの基礎となる、弾力的で効率的な交通システムの開発をサポートします。

何が交通AI市場の成長を牽引しているのか？

交通分野のAI市場の成長は、技術革新の急速なペースと業界内のニーズの進化の両方を強調するいくつかの要因によって牽引されています。中でも最も重要なのは、より安全で便利な交通手段に対する消費者の関心と、事故や排出ガスの削減を目的とした規制支援に後押しされた、自律走行車に対する需要の高まりです。また、運行管理におけるAIのニーズも急増しており、特にロジスティクス分野では、企業が運行の最適化、コスト削減、環境問題への対応を模索しています。都市化の進展とスマートシティへの取り組みも重要な推進力となっており、各都市は交通渋滞への対応、治安の向上、通勤体験の改善など、AIを活用したソリューションを模索しています。さらに、モノのインターネット（IoT）機器や接続されたインフラが広く採用されたことで、新たなサイバーセキュリティリスクが導入され、潜在的な脅威から交通網を保護する上でAIが不可欠となっています。交通業界の競合情勢も、優れた顧客体験を提供し、顧客維持を改善し、解約を減らすためにAIに投資する企業の動機付けとなっています。最後に、機械学習、自然言語処理、コンピュータビジョンなどのAI技術の進歩により、これらのソリューションがより利用しやすくなり、費用対効果も向上したため、中小企業でも輸送管理とイノベーションにAIを活用できるようになりました。これらの要因が相まって、現在の需要を満たすだけでなく、より効率的で安全かつ持続可能な輸送の未来への道を切り開くために、AIを急速に取り入れる業界の姿が描かれています。

セグメント

コンポーネント（ソフトウェア、ハードウェア）、プロセス（信号認識、物体認識、データマイニング）、アプリケーション（半自律型トラック、自律型トラック、トラックのHMI）

調査対象企業の例

  • Alphabet Inc.（Google Inc.）
  • Bosch
  • Continental AG
  • Daimler AG
  • Friedrichshafen AG
  • Intel Corporation
  • Magna
  • MAN SE
  • Microsoft Corporation
  • NVIDIA Corporation
  • PACCAR Inc.
  • Scania Group
  • Volvo Group
  • ZF

AIインテグレーション

Global Industry Analystsは、有効な専門家コンテンツとAIツールによって、市場情報と競合情報を変革しています。

Global Industry Analystsは、LLMや業界固有のSLMを照会する一般的な規範に従う代わりに、ビデオ記録、ブログ、検索エンジン調査、膨大な量の企業、製品/サービス、市場データなど、世界中の専門家から収集したコンテンツのリポジトリを構築しました。

関税影響係数

Global Industry Analystsは、本社の国、製造拠点、輸出入（完成品とOEM）に基づく企業の競争力の変化を予測しています。この複雑で多面的な市場力学は、売上原価（COGS）の増加、収益性の低下、サプライチェーンの再構築など、ミクロおよびマクロの市場力学の中でも特に競合他社に影響を与える見込みです。

目次

第1章 調査手法

第2章 エグゼクティブサマリー

  • 市場概要
  • 主要企業
  • 市場動向と促進要因
  • 世界市場の見通し

第3章 市場分析

  • 米国
  • カナダ
  • 日本
  • 中国
  • 欧州
  • フランス
  • ドイツ
  • イタリア
  • 英国
  • その他欧州
  • アジア太平洋
  • その他の地域

第4章 競合

目次
Product Code: MCP21192

Global Artificial Intelligence (AI) in Transportation Market to Reach US$10.2 Billion by 2030

The global market for Artificial Intelligence (AI) in Transportation estimated at US$4.2 Billion in the year 2024, is expected to reach US$10.2 Billion by 2030, growing at a CAGR of 15.7% over the analysis period 2024-2030. Software, one of the segments analyzed in the report, is expected to record a 17.0% CAGR and reach US$7.3 Billion by the end of the analysis period. Growth in the Hardware segment is estimated at 12.9% CAGR over the analysis period.

The U.S. Market is Estimated at US$1.2 Billion While China is Forecast to Grow at 14.8% CAGR

The Artificial Intelligence (AI) in Transportation market in the U.S. is estimated at US$1.2 Billion in the year 2024. China, the world's second largest economy, is forecast to reach a projected market size of US$1.5 Billion by the year 2030 trailing a CAGR of 14.8% over the analysis period 2024-2030. Among the other noteworthy geographic markets are Japan and Canada, each forecast to grow at a CAGR of 14.0% and 13.2% respectively over the analysis period. Within Europe, Germany is forecast to grow at approximately 11.0% CAGR.

Global Artificial Intelligence (AI) in Transportation Market - Key Trends and Drivers Summarized

How Is AI Revolutionizing Autonomous Vehicles and Safety?

Artificial Intelligence (AI) is fundamentally reshaping the landscape of transportation by driving advancements in autonomous vehicles and significantly enhancing road safety. Autonomous vehicles rely heavily on AI to interpret and navigate their environment, using real-time data from an array of sensors, including LIDAR, radar, and cameras, to "see" the road, recognize obstacles, and make split-second decisions. AI algorithms, particularly those powered by deep learning and computer vision, are essential for identifying and reacting to dynamic elements like pedestrians, traffic signs, cyclists, and other vehicles. This ability to process and respond to real-world scenarios allows autonomous systems to predict and avoid accidents more effectively than human drivers. Moreover, AI isn’t limited to fully autonomous vehicles-it’s transforming driver-assistance systems in conventional vehicles as well. AI-driven features such as lane departure warnings, adaptive cruise control, and collision prevention systems are becoming standard in many vehicles, reducing human error, which remains the leading cause of road accidents. As these technologies continue to develop, AI is set to create safer roads, decrease congestion, and lower the overall environmental impact by promoting more efficient driving. With regulators beginning to set safety and compliance standards for autonomous technology, AI is not just enhancing the way vehicles operate, but is also positioned to ensure that this technology aligns with rigorous safety requirements, marking a major step forward for transportation safety and reliability.

How Does AI Enhance Fleet Management and Operational Efficiency?

In commercial transportation, AI is transforming fleet management, enabling companies to operate more efficiently and economically. Through advanced AI-driven analytics, fleet managers can monitor the health of each vehicle in real time, track critical metrics such as fuel consumption, engine performance, and brake condition, and even predict when maintenance will be necessary. By leveraging predictive maintenance capabilities, AI minimizes vehicle downtime, preventing unexpected breakdowns that can be costly and disruptive. This proactive approach to vehicle management not only reduces costs but also extends the life of each asset, creating value and ensuring more reliable service. AI further enhances operational efficiency by optimizing route planning. Using data on traffic patterns, weather conditions, and historical delivery timelines, AI can identify the most efficient routes for deliveries, allowing companies to lower fuel consumption, reduce transit times, and improve delivery accuracy. For logistics and public transportation, AI-driven demand forecasting tools are also invaluable. By analyzing seasonal trends, consumer demand, and regional economic data, AI helps fleet managers adjust schedules and resources dynamically, improving service availability and reducing operating costs. The environmental benefits of AI-enabled fleet management are significant as well, as optimized routing and efficient resource allocation contribute to lower carbon emissions, aligning with the growing demand for sustainable and eco-friendly transportation solutions.

What Role Does AI Play in Traffic Management and Infrastructure Development?

AI is a powerful tool for transforming traffic management and guiding infrastructure development, two critical areas in urban planning that affect millions of people daily. In traffic management, AI systems analyze live data from sensors, surveillance cameras, and connected vehicles to monitor traffic flow, detect congestion points, and predict potential delays. This real-time data enables AI algorithms to make on-the-spot adjustments to traffic signal timing, reroute traffic, and alert drivers to alternate paths, ultimately reducing congestion, improving safety, and ensuring smoother commutes. In infrastructure development, AI is essential for urban planners, providing valuable predictive insights that help optimize the design of roads, bridges, and public transit systems. By analyzing population growth projections, vehicular data, and commuter behaviors, AI assists in creating infrastructure that not only meets current demand but is also prepared for future needs. Additionally, AI aids in monitoring the health of critical infrastructure through data from embedded sensors that can detect structural changes, wear, or stress points, allowing for early maintenance before issues escalate into costly and disruptive failures. By enabling predictive and preventive approaches to infrastructure management, AI supports the development of resilient and efficient transportation systems, which are foundational to the vision of smart cities focused on improving urban mobility, safety, and the quality of life for residents.

What’s Driving the Growth of the AI in Transportation Market?

The growth in the AI in transportation market is driven by several factors that underscore both the rapid pace of technological innovation and the evolving needs within the industry. Foremost among these is the increasing demand for autonomous vehicles, fueled by consumer interest in safer and more convenient modes of transport, as well as regulatory support aimed at reducing accidents and emissions. The need for AI in fleet management has also surged, particularly within the logistics sector, where companies are seeking ways to optimize operations, cut costs, and address environmental concerns. The growing trend toward urbanization and smart city initiatives is another crucial driver, as cities look for AI-driven solutions to address traffic congestion, enhance public safety, and improve commuter experiences. Furthermore, the widespread adoption of Internet of Things (IoT) devices and connected infrastructure has introduced new cybersecurity risks, making AI essential in safeguarding transportation networks from potential threats. The competitive landscape of the transportation industry also motivates companies to invest in AI to deliver superior customer experiences, improve retention, and reduce churn. Finally, advancements in AI technologies, such as machine learning, natural language processing, and computer vision, have made these solutions more accessible and cost-effective, allowing smaller companies to leverage AI for transportation management and innovation. Together, these drivers paint a picture of an industry rapidly embracing AI to not only meet current demands but to pave the way for a more efficient, secure, and sustainable future in transportation.

SCOPE OF STUDY:

The report analyzes the Artificial Intelligence (AI) in Transportation market in terms of units by the following Segments, and Geographic Regions/Countries:

Segments:

Component (Software, Hardware); Process (Signal Recognition, Object Recognition, Data Mining); Application (Semi-Autonomous Trucks, Autonomous Trucks, HMI in Trucks)

Geographic Regions/Countries:

World; United States; Canada; Japan; China; Europe (France; Germany; Italy; United Kingdom; and Rest of Europe); Asia-Pacific; Rest of World.

Select Competitors (Total 233 Featured) -

  • Alphabet Inc. (Google Inc.)
  • Bosch
  • Continental AG
  • Daimler AG
  • Friedrichshafen AG
  • Intel Corporation
  • Magna
  • MAN SE
  • Microsoft Corporation
  • NVIDIA Corporation
  • PACCAR Inc.
  • Scania Group
  • Volvo Group
  • ZF

AI INTEGRATIONS

We're transforming market and competitive intelligence with validated expert content and AI tools.

Instead of following the general norm of querying LLMs and Industry-specific SLMs, we built repositories of content curated from domain experts worldwide including video transcripts, blogs, search engines research, and massive amounts of enterprise, product/service, and market data.

TARIFF IMPACT FACTOR

Our new release incorporates impact of tariffs on geographical markets as we predict a shift in competitiveness of companies based on HQ country, manufacturing base, exports and imports (finished goods and OEM). This intricate and multifaceted market reality will impact competitors by increasing the Cost of Goods Sold (COGS), reducing profitability, reconfiguring supply chains, amongst other micro and macro market dynamics.

TABLE OF CONTENTS

I. METHODOLOGY

II. EXECUTIVE SUMMARY

  • 1. MARKET OVERVIEW
    • Influencer Market Insights
    • Tariff Impact on Global Supply Chain Patterns
    • Global Economic Update
    • Artificial Intelligence (AI) in Transportation - Global Key Competitors Percentage Market Share in 2025 (E)
    • Competitive Market Presence - Strong/Active/Niche/Trivial for Players Worldwide in 2025 (E)
  • 2. FOCUS ON SELECT PLAYERS
  • 3. MARKET TRENDS & DRIVERS
    • Growing Demand for Autonomous Vehicles Propels Growth of AI in Transportation
    • Increasing Focus on Traffic Management Drives Adoption of AI-Powered Optimization Solutions
    • Here's How AI in Predictive Maintenance Enhances Fleet Reliability and Reduces Downtime
    • Advances in Machine Learning Improve Accuracy in Route Planning and Demand Forecasting
    • Rising Need for Real-Time Data Analytics Fuels AI in Traffic and Transportation Monitoring
    • Growing Use of AI in Autonomous Delivery and Last-Mile Logistics Expands Market Scope
    • Here's How AI-Powered Safety Features Enhance Driver Assistance Systems
    • Increasing Adoption of AI in Public Transportation Enhances Efficiency and Passenger Experience
    • Rising Interest in Predictive Analytics Expands AI Applications in Demand and Capacity Planning
    • Here's How AI in Computer Vision Enhances Infrastructure and Road Condition Monitoring
    • Growing Importance of AI in Fleet Management Boosts Efficiency in Operations and Maintenance
    • Advances in Natural Language Processing Enable AI in Customer Service for Transportation Providers
  • 4. GLOBAL MARKET PERSPECTIVE
    • TABLE 1: World Recent Past, Current & Future Analysis for Artificial Intelligence (AI) in Transportation by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2024 through 2030 and % CAGR
    • TABLE 2: World 6-Year Perspective for Artificial Intelligence (AI) in Transportation by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets for Years 2025 & 2030
    • TABLE 3: World Recent Past, Current & Future Analysis for Software by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2024 through 2030 and % CAGR
    • TABLE 4: World 6-Year Perspective for Software by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 5: World Recent Past, Current & Future Analysis for Hardware by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2024 through 2030 and % CAGR
    • TABLE 6: World 6-Year Perspective for Hardware by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 7: World Recent Past, Current & Future Analysis for Signal Recognition by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2024 through 2030 and % CAGR
    • TABLE 8: World 6-Year Perspective for Signal Recognition by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 9: World Recent Past, Current & Future Analysis for Object Recognition by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2024 through 2030 and % CAGR
    • TABLE 10: World 6-Year Perspective for Object Recognition by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 11: World Recent Past, Current & Future Analysis for Data Mining by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2024 through 2030 and % CAGR
    • TABLE 12: World 6-Year Perspective for Data Mining by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 13: World Recent Past, Current & Future Analysis for Semi-Autonomous Trucks by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2024 through 2030 and % CAGR
    • TABLE 14: World 6-Year Perspective for Semi-Autonomous Trucks by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 15: World Recent Past, Current & Future Analysis for Autonomous Trucks by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2024 through 2030 and % CAGR
    • TABLE 16: World 6-Year Perspective for Autonomous Trucks by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 17: World Recent Past, Current & Future Analysis for HMI in Trucks by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2024 through 2030 and % CAGR
    • TABLE 18: World 6-Year Perspective for HMI in Trucks by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 19: World Artificial Intelligence (AI) in Transportation Market Analysis of Annual Sales in US$ Thousand for Years 2015 through 2030

III. MARKET ANALYSIS

  • UNITED STATES
    • Artificial Intelligence (AI) in Transportation Market Presence - Strong/Active/Niche/Trivial - Key Competitors in the United States for 2025 (E)
    • TABLE 20: USA Recent Past, Current & Future Analysis for Artificial Intelligence (AI) in Transportation by Component - Software and Hardware - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 21: USA 6-Year Perspective for Artificial Intelligence (AI) in Transportation by Component - Percentage Breakdown of Value Sales for Software and Hardware for the Years 2025 & 2030
    • TABLE 22: USA Recent Past, Current & Future Analysis for Artificial Intelligence (AI) in Transportation by Process - Signal Recognition, Object Recognition and Data Mining - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 23: USA 6-Year Perspective for Artificial Intelligence (AI) in Transportation by Process - Percentage Breakdown of Value Sales for Signal Recognition, Object Recognition and Data Mining for the Years 2025 & 2030
    • TABLE 24: USA Recent Past, Current & Future Analysis for Artificial Intelligence (AI) in Transportation by Application - Semi-Autonomous Trucks, Autonomous Trucks and HMI in Trucks - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 25: USA 6-Year Perspective for Artificial Intelligence (AI) in Transportation by Application - Percentage Breakdown of Value Sales for Semi-Autonomous Trucks, Autonomous Trucks and HMI in Trucks for the Years 2025 & 2030
  • CANADA
    • TABLE 26: Canada Recent Past, Current & Future Analysis for Artificial Intelligence (AI) in Transportation by Component - Software and Hardware - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 27: Canada 6-Year Perspective for Artificial Intelligence (AI) in Transportation by Component - Percentage Breakdown of Value Sales for Software and Hardware for the Years 2025 & 2030
    • TABLE 28: Canada Recent Past, Current & Future Analysis for Artificial Intelligence (AI) in Transportation by Process - Signal Recognition, Object Recognition and Data Mining - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 29: Canada 6-Year Perspective for Artificial Intelligence (AI) in Transportation by Process - Percentage Breakdown of Value Sales for Signal Recognition, Object Recognition and Data Mining for the Years 2025 & 2030
    • TABLE 30: Canada Recent Past, Current & Future Analysis for Artificial Intelligence (AI) in Transportation by Application - Semi-Autonomous Trucks, Autonomous Trucks and HMI in Trucks - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 31: Canada 6-Year Perspective for Artificial Intelligence (AI) in Transportation by Application - Percentage Breakdown of Value Sales for Semi-Autonomous Trucks, Autonomous Trucks and HMI in Trucks for the Years 2025 & 2030
  • JAPAN
    • Artificial Intelligence (AI) in Transportation Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Japan for 2025 (E)
    • TABLE 32: Japan Recent Past, Current & Future Analysis for Artificial Intelligence (AI) in Transportation by Component - Software and Hardware - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 33: Japan 6-Year Perspective for Artificial Intelligence (AI) in Transportation by Component - Percentage Breakdown of Value Sales for Software and Hardware for the Years 2025 & 2030
    • TABLE 34: Japan Recent Past, Current & Future Analysis for Artificial Intelligence (AI) in Transportation by Process - Signal Recognition, Object Recognition and Data Mining - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 35: Japan 6-Year Perspective for Artificial Intelligence (AI) in Transportation by Process - Percentage Breakdown of Value Sales for Signal Recognition, Object Recognition and Data Mining for the Years 2025 & 2030
    • TABLE 36: Japan Recent Past, Current & Future Analysis for Artificial Intelligence (AI) in Transportation by Application - Semi-Autonomous Trucks, Autonomous Trucks and HMI in Trucks - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 37: Japan 6-Year Perspective for Artificial Intelligence (AI) in Transportation by Application - Percentage Breakdown of Value Sales for Semi-Autonomous Trucks, Autonomous Trucks and HMI in Trucks for the Years 2025 & 2030
  • CHINA
    • Artificial Intelligence (AI) in Transportation Market Presence - Strong/Active/Niche/Trivial - Key Competitors in China for 2025 (E)
    • TABLE 38: China Recent Past, Current & Future Analysis for Artificial Intelligence (AI) in Transportation by Component - Software and Hardware - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 39: China 6-Year Perspective for Artificial Intelligence (AI) in Transportation by Component - Percentage Breakdown of Value Sales for Software and Hardware for the Years 2025 & 2030
    • TABLE 40: China Recent Past, Current & Future Analysis for Artificial Intelligence (AI) in Transportation by Process - Signal Recognition, Object Recognition and Data Mining - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 41: China 6-Year Perspective for Artificial Intelligence (AI) in Transportation by Process - Percentage Breakdown of Value Sales for Signal Recognition, Object Recognition and Data Mining for the Years 2025 & 2030
    • TABLE 42: China Recent Past, Current & Future Analysis for Artificial Intelligence (AI) in Transportation by Application - Semi-Autonomous Trucks, Autonomous Trucks and HMI in Trucks - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 43: China 6-Year Perspective for Artificial Intelligence (AI) in Transportation by Application - Percentage Breakdown of Value Sales for Semi-Autonomous Trucks, Autonomous Trucks and HMI in Trucks for the Years 2025 & 2030
  • EUROPE
    • Artificial Intelligence (AI) in Transportation Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Europe for 2025 (E)
    • TABLE 44: Europe Recent Past, Current & Future Analysis for Artificial Intelligence (AI) in Transportation by Geographic Region - France, Germany, Italy, UK and Rest of Europe Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2024 through 2030 and % CAGR
    • TABLE 45: Europe 6-Year Perspective for Artificial Intelligence (AI) in Transportation by Geographic Region - Percentage Breakdown of Value Sales for France, Germany, Italy, UK and Rest of Europe Markets for Years 2025 & 2030
    • TABLE 46: Europe Recent Past, Current & Future Analysis for Artificial Intelligence (AI) in Transportation by Component - Software and Hardware - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 47: Europe 6-Year Perspective for Artificial Intelligence (AI) in Transportation by Component - Percentage Breakdown of Value Sales for Software and Hardware for the Years 2025 & 2030
    • TABLE 48: Europe Recent Past, Current & Future Analysis for Artificial Intelligence (AI) in Transportation by Process - Signal Recognition, Object Recognition and Data Mining - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 49: Europe 6-Year Perspective for Artificial Intelligence (AI) in Transportation by Process - Percentage Breakdown of Value Sales for Signal Recognition, Object Recognition and Data Mining for the Years 2025 & 2030
    • TABLE 50: Europe Recent Past, Current & Future Analysis for Artificial Intelligence (AI) in Transportation by Application - Semi-Autonomous Trucks, Autonomous Trucks and HMI in Trucks - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 51: Europe 6-Year Perspective for Artificial Intelligence (AI) in Transportation by Application - Percentage Breakdown of Value Sales for Semi-Autonomous Trucks, Autonomous Trucks and HMI in Trucks for the Years 2025 & 2030
  • FRANCE
    • Artificial Intelligence (AI) in Transportation Market Presence - Strong/Active/Niche/Trivial - Key Competitors in France for 2025 (E)
    • TABLE 52: France Recent Past, Current & Future Analysis for Artificial Intelligence (AI) in Transportation by Component - Software and Hardware - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 53: France 6-Year Perspective for Artificial Intelligence (AI) in Transportation by Component - Percentage Breakdown of Value Sales for Software and Hardware for the Years 2025 & 2030
    • TABLE 54: France Recent Past, Current & Future Analysis for Artificial Intelligence (AI) in Transportation by Process - Signal Recognition, Object Recognition and Data Mining - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 55: France 6-Year Perspective for Artificial Intelligence (AI) in Transportation by Process - Percentage Breakdown of Value Sales for Signal Recognition, Object Recognition and Data Mining for the Years 2025 & 2030
    • TABLE 56: France Recent Past, Current & Future Analysis for Artificial Intelligence (AI) in Transportation by Application - Semi-Autonomous Trucks, Autonomous Trucks and HMI in Trucks - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 57: France 6-Year Perspective for Artificial Intelligence (AI) in Transportation by Application - Percentage Breakdown of Value Sales for Semi-Autonomous Trucks, Autonomous Trucks and HMI in Trucks for the Years 2025 & 2030
  • GERMANY
    • Artificial Intelligence (AI) in Transportation Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Germany for 2025 (E)
    • TABLE 58: Germany Recent Past, Current & Future Analysis for Artificial Intelligence (AI) in Transportation by Component - Software and Hardware - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 59: Germany 6-Year Perspective for Artificial Intelligence (AI) in Transportation by Component - Percentage Breakdown of Value Sales for Software and Hardware for the Years 2025 & 2030
    • TABLE 60: Germany Recent Past, Current & Future Analysis for Artificial Intelligence (AI) in Transportation by Process - Signal Recognition, Object Recognition and Data Mining - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 61: Germany 6-Year Perspective for Artificial Intelligence (AI) in Transportation by Process - Percentage Breakdown of Value Sales for Signal Recognition, Object Recognition and Data Mining for the Years 2025 & 2030
    • TABLE 62: Germany Recent Past, Current & Future Analysis for Artificial Intelligence (AI) in Transportation by Application - Semi-Autonomous Trucks, Autonomous Trucks and HMI in Trucks - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 63: Germany 6-Year Perspective for Artificial Intelligence (AI) in Transportation by Application - Percentage Breakdown of Value Sales for Semi-Autonomous Trucks, Autonomous Trucks and HMI in Trucks for the Years 2025 & 2030
  • ITALY
    • TABLE 64: Italy Recent Past, Current & Future Analysis for Artificial Intelligence (AI) in Transportation by Component - Software and Hardware - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 65: Italy 6-Year Perspective for Artificial Intelligence (AI) in Transportation by Component - Percentage Breakdown of Value Sales for Software and Hardware for the Years 2025 & 2030
    • TABLE 66: Italy Recent Past, Current & Future Analysis for Artificial Intelligence (AI) in Transportation by Process - Signal Recognition, Object Recognition and Data Mining - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 67: Italy 6-Year Perspective for Artificial Intelligence (AI) in Transportation by Process - Percentage Breakdown of Value Sales for Signal Recognition, Object Recognition and Data Mining for the Years 2025 & 2030
    • TABLE 68: Italy Recent Past, Current & Future Analysis for Artificial Intelligence (AI) in Transportation by Application - Semi-Autonomous Trucks, Autonomous Trucks and HMI in Trucks - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 69: Italy 6-Year Perspective for Artificial Intelligence (AI) in Transportation by Application - Percentage Breakdown of Value Sales for Semi-Autonomous Trucks, Autonomous Trucks and HMI in Trucks for the Years 2025 & 2030
  • UNITED KINGDOM
    • Artificial Intelligence (AI) in Transportation Market Presence - Strong/Active/Niche/Trivial - Key Competitors in the United Kingdom for 2025 (E)
    • TABLE 70: UK Recent Past, Current & Future Analysis for Artificial Intelligence (AI) in Transportation by Component - Software and Hardware - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 71: UK 6-Year Perspective for Artificial Intelligence (AI) in Transportation by Component - Percentage Breakdown of Value Sales for Software and Hardware for the Years 2025 & 2030
    • TABLE 72: UK Recent Past, Current & Future Analysis for Artificial Intelligence (AI) in Transportation by Process - Signal Recognition, Object Recognition and Data Mining - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 73: UK 6-Year Perspective for Artificial Intelligence (AI) in Transportation by Process - Percentage Breakdown of Value Sales for Signal Recognition, Object Recognition and Data Mining for the Years 2025 & 2030
    • TABLE 74: UK Recent Past, Current & Future Analysis for Artificial Intelligence (AI) in Transportation by Application - Semi-Autonomous Trucks, Autonomous Trucks and HMI in Trucks - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 75: UK 6-Year Perspective for Artificial Intelligence (AI) in Transportation by Application - Percentage Breakdown of Value Sales for Semi-Autonomous Trucks, Autonomous Trucks and HMI in Trucks for the Years 2025 & 2030
  • REST OF EUROPE
    • TABLE 76: Rest of Europe Recent Past, Current & Future Analysis for Artificial Intelligence (AI) in Transportation by Component - Software and Hardware - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 77: Rest of Europe 6-Year Perspective for Artificial Intelligence (AI) in Transportation by Component - Percentage Breakdown of Value Sales for Software and Hardware for the Years 2025 & 2030
    • TABLE 78: Rest of Europe Recent Past, Current & Future Analysis for Artificial Intelligence (AI) in Transportation by Process - Signal Recognition, Object Recognition and Data Mining - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 79: Rest of Europe 6-Year Perspective for Artificial Intelligence (AI) in Transportation by Process - Percentage Breakdown of Value Sales for Signal Recognition, Object Recognition and Data Mining for the Years 2025 & 2030
    • TABLE 80: Rest of Europe Recent Past, Current & Future Analysis for Artificial Intelligence (AI) in Transportation by Application - Semi-Autonomous Trucks, Autonomous Trucks and HMI in Trucks - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 81: Rest of Europe 6-Year Perspective for Artificial Intelligence (AI) in Transportation by Application - Percentage Breakdown of Value Sales for Semi-Autonomous Trucks, Autonomous Trucks and HMI in Trucks for the Years 2025 & 2030
  • ASIA-PACIFIC
    • Artificial Intelligence (AI) in Transportation Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Asia-Pacific for 2025 (E)
    • TABLE 82: Asia-Pacific Recent Past, Current & Future Analysis for Artificial Intelligence (AI) in Transportation by Component - Software and Hardware - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 83: Asia-Pacific 6-Year Perspective for Artificial Intelligence (AI) in Transportation by Component - Percentage Breakdown of Value Sales for Software and Hardware for the Years 2025 & 2030
    • TABLE 84: Asia-Pacific Recent Past, Current & Future Analysis for Artificial Intelligence (AI) in Transportation by Process - Signal Recognition, Object Recognition and Data Mining - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 85: Asia-Pacific 6-Year Perspective for Artificial Intelligence (AI) in Transportation by Process - Percentage Breakdown of Value Sales for Signal Recognition, Object Recognition and Data Mining for the Years 2025 & 2030
    • TABLE 86: Asia-Pacific Recent Past, Current & Future Analysis for Artificial Intelligence (AI) in Transportation by Application - Semi-Autonomous Trucks, Autonomous Trucks and HMI in Trucks - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 87: Asia-Pacific 6-Year Perspective for Artificial Intelligence (AI) in Transportation by Application - Percentage Breakdown of Value Sales for Semi-Autonomous Trucks, Autonomous Trucks and HMI in Trucks for the Years 2025 & 2030
  • REST OF WORLD
    • TABLE 88: Rest of World Recent Past, Current & Future Analysis for Artificial Intelligence (AI) in Transportation by Component - Software and Hardware - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 89: Rest of World 6-Year Perspective for Artificial Intelligence (AI) in Transportation by Component - Percentage Breakdown of Value Sales for Software and Hardware for the Years 2025 & 2030
    • TABLE 90: Rest of World Recent Past, Current & Future Analysis for Artificial Intelligence (AI) in Transportation by Process - Signal Recognition, Object Recognition and Data Mining - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 91: Rest of World 6-Year Perspective for Artificial Intelligence (AI) in Transportation by Process - Percentage Breakdown of Value Sales for Signal Recognition, Object Recognition and Data Mining for the Years 2025 & 2030
    • TABLE 92: Rest of World Recent Past, Current & Future Analysis for Artificial Intelligence (AI) in Transportation by Application - Semi-Autonomous Trucks, Autonomous Trucks and HMI in Trucks - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 93: Rest of World 6-Year Perspective for Artificial Intelligence (AI) in Transportation by Application - Percentage Breakdown of Value Sales for Semi-Autonomous Trucks, Autonomous Trucks and HMI in Trucks for the Years 2025 & 2030

IV. COMPETITION