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市場調查報告書
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1768787

全球交通運輸人工智慧（AI）市場

Artificial Intelligence (AI) in Transportation
出版日期: | 出版商: Global Industry Analysts, Inc. | 英文 189 Pages | 商品交期: 最快1-2個工作天內

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簡介目錄

預計到 2030 年，全球交通運輸人工智慧 (AI) 市場規模將達到 102 億美元

預計2024年全球交通運輸領域人工智慧 (AI) 市場規模將達到42億美元，在2024-2030年的分析期間內，其複合年成長率將達到15.7%，到2030年將達到102億美元。軟體是本報告分析的細分市場之一，預計其複合年成長率將達到17.0%，到分析期結束時將達到73億美元。硬體細分市場在分析期間內的複合年成長率預計將達到12.9%。

美國市場預計將達到 12 億美元，中國市場複合年成長率將達到 14.8%

美國交通運輸領域的人工智慧 (AI) 市場規模預計在 2024 年達到 12 億美元。預計到 2030 年，作為世界第二大經濟體的中國市場規模將達到 15 億美元，在 2024-2030 年的分析期內，複合年成長率為 14.8%。其他值得關注的區域市場包括日本和加拿大，預計在分析期間的複合年成長率分別為 14.0% 和 13.2%。在歐洲，預計德國的複合年成長率為 11.0%。

全球交通運輸市場人工智慧（AI）－主要趨勢與促進因素摘要

人工智慧將如何徹底改變自動駕駛汽車和安全？

人工智慧 (AI) 正在從根本上重塑交通格局，推動自動駕駛汽車的發展，顯著提昇道路安全。自動駕駛汽車高度依賴人工智慧來「看清」道路、識別障礙物、做出瞬間決策，並利用雷射雷達、雷達和攝影機等各種感測器的即時數據來解讀和導航周圍環境。人工智慧演算法，尤其是那些利用深度學習和電腦視覺的演算法，對於識別和應對行人、交通標誌、騎乘者和其他車輛等動態元素至關重要。這種處理和響應現實場景的能力使自動駕駛系統比人類駕駛員更有效地預測和避免事故。此外，人工智慧不僅限於全自動駕駛汽車，它還在改變傳統汽車的駕駛輔助系統。車道偏離預警、主動式車距維持定速系統和防撞系統等人工智慧主導的功能正在成為許多汽車的標配，從而減少人為失誤——道路事故的主要原因。隨著這些技術的不斷發展，人工智慧將創造更安全的道路，減少交通堵塞，促進更有效率的駕駛，從而降低對環境的整體影響。隨著監管機構開始為自動駕駛技術制定安全和合規標準，人工智慧不僅可以改善車輛的駕駛方式，還可以確保該技術符合嚴格的安全要求——這是交通安全和可靠性向前邁出的重要一步。

人工智慧將如何改善車隊管理和營運效率？

在商業運輸領域，人工智慧正在改變車隊管理，幫助企業更有效率、更經濟地經營業務。透過先進的主導分析技術，車隊管理人員可以即時監控每輛車的健康狀況，追蹤消費量、引擎性能和煞車狀況等關鍵指標，甚至預測何時需要維護。透過利用預測性維護功能，人工智慧可以最大限度地減少車輛停機時間，並避免代價高昂且破壞性的意外故障。這種主動的車隊管理方法不僅可以降低成本，還可以延長每項資產的使用壽命，創造價值並確保更可靠的服務。人工智慧透過最佳化路線規劃進一步提高營運效率。透過利用交通模式、天氣和歷史配送時間表等數據，人工智慧可以識別最高效的配送路線，幫助企業降低油耗、縮短運輸時間並提高配送準確性。對於物流和公共運輸組織而言，人工智慧驅動的需求預測工具也極具價值。透過分析季節性趨勢、消費者需求和當地經濟數據，人工智慧可以幫助車隊管理人員動態調整時間表和資源，提高服務可用性並降低營運成本。人工智慧車隊管理的環境效益也十分顯著，因為最佳化的路線和高效的資源配置有助於減少碳排放，並滿足對永續、環保的運輸解決方案日益成長的需求。

人工智慧在交通管理和基礎建設發展中扮演什麼角色？

人工智慧是改變交通管理和指導基礎建設的強大工具，這兩個領域是城市規劃中影響數百萬人日常生活的關鍵領域。在交通管理方面，人工智慧系統分析來自感測器、監視錄影機和聯網汽車的即時數據，以監控交通流量、偵測擁塞點並預測潛在的延誤。這些即時數據使人工智慧演算法能夠動態調整交通號誌時序、重新規劃交通路線並提醒駕駛選擇替代路線，最終減少擁塞、提高安全性並使通勤更加順暢。在基礎設施建設方面，人工智慧對城市規劃者至關重要，它提供寶貴的預測見解，有助於最佳化道路、橋樑和公共交通系統的設計。透過分析人口成長預測、車輛數據和通勤行為，人工智慧可以幫助基礎設施做好準備，不僅滿足當前需求，還能滿足未來的需求。此外，人工智慧還可以透過嵌入式感測器的數據來幫助監控關鍵基礎設施的健康狀況，這些感測器可以檢測結構變化、磨損和壓力點，從而能夠在問題升級為代價高昂且破壞性的故障之前進行早期維護。透過對基礎設施管理採取預測性和預防性的方法，人工智慧支援開發有彈性、高效的交通系統，這是智慧城市願景的基礎，旨在改善城市交通、安全和居民生活品質。

推動交通運輸人工智慧市場成長的因素有哪些？

推動人工智慧在交通運輸市場成長的因素很多，既有技術創新的快速發展，也有產業需求的不斷變化。其中最重要的是對自動駕駛汽車日益成長的需求，這得益於消費者對更安全、更便捷的交通途徑的興趣，以及旨在減少事故和排放氣體的監管支持。交通管理對人工智慧的需求也在激增，尤其是在物流領域，企業正在尋求最佳化營運、降低成本和解決環境問題。都市化加快和智慧城市計畫也是關鍵促進因素，許多城市正在探索基於人工智慧的解決方案，以解決交通堵塞、提高公共安全和改善通勤體驗。此外，物聯網 (IoT) 設備和互聯基礎設施的廣泛採用帶來了新的網路安全風險，使得人工智慧在保護交通網路免受潛在威脅方面至關重要。交通運輸產業的競爭格局也促使企業投資人工智慧，以提供卓越的客戶體驗、提高客戶維繫和減少客戶流失。最後，機器學習、自然語言處理和電腦視覺等人工智慧技術的進步使得這些解決方案更加便利、更具成本效益，即使是中小型企業也能利用人工智慧進行交通管理和創新。這些因素共同描繪出一個產業正在迅速擁抱人工智慧的景象，這不僅是為了滿足當前的需求，也是為了為更有效率、更安全、更永續的未來交通運輸鋪路。

部分

組件（軟體、硬體）、流程（訊號辨識、物件辨識、資料探勘）、應用程式（半自動卡車、自動卡車、卡車 HMI）

受訪公司範例

  • 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

人工智慧整合

全球產業分析師正在利用可操作的專家內容和人工智慧工具改變市場和競爭情報。

Global 特定產業SLM 的典型規範，而是建立了一個從全球專家收集的內容庫，其中包括視訊錄影、部落格、搜尋引擎研究以及大量的公司、產品/服務和市場數據。

關稅影響係數

全球產業分析師根據公司總部所在國家、製造地、進出口狀況（成品和原始OEM）預測其競爭態勢的變化。這種複雜且多面向的市場動態預計將以多種方式影響競爭對手，包括銷貨成本成本 (COGS) 上升、盈利下降、供應鏈重組以及其他微觀和宏觀市場動態。

目錄

第1章調查方法

第2章執行摘要

  • 市場概覽
  • 主要企業
  • 市場趨勢和促進因素
  • 全球市場展望

第3章市場分析

  • 美國
  • 加拿大
  • 日本
  • 中國
  • 歐洲
  • 法國
  • 德國
  • 義大利
  • 英國
  • 其他歐洲國家
  • 亞太地區
  • 其他地區

第4章 比賽

簡介目錄
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