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市场调查报告书
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1768787

全球交通运输人工智慧（AI）市场

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个工作天内

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简介目录

预计到 2030 年，全球交通运输人工智慧 (AI) 市场规模将达到 102 亿美元

预计2024年全球交通运输领域人工智慧 (AI) 市场规模将达到42亿美元，在2024-2030年的分析期间内，其复合年增长率将达到15.7%，到2030年将达到102亿美元。软体是本报告分析的细分市场之一，预计其复合年增长率将达到17.0%，到分析期结束时将达到73亿美元。硬体细分市场在分析期间内的复合年增长率预计将达到12.9%。

美国市场预计将达到 12 亿美元，中国市场复合年增长率将达到 14.8%

美国交通运输领域的人工智慧 (AI) 市场规模预计在 2024 年达到 12 亿美元。预计到 2030 年，作为世界第二大经济体的中国市场规模将达到 15 亿美元，在 2024-2030 年的分析期内，复合年增长率为 14.8%。其他值得关注的区域市场包括日本和加拿大，预计在分析期间的复合年增长率分别为 14.0% 和 13.2%。在欧洲，预计德国的复合年增长率为 11.0%。

全球交通运输市场人工智慧（AI）－主要趋势与驱动因素摘要

人工智慧将如何彻底改变自动驾驶汽车和安全？

人工智慧 (AI) 正在从根本上重塑交通格局，推动自动驾驶汽车的发展，显着提昇道路安全。自动驾驶汽车高度依赖人工智慧来「看清」道路、识别障碍物、做出瞬间决策，并利用雷射雷达、雷达和摄影机等各种感测器的即时数据来解读和导航周围环境。人工智慧演算法，尤其是那些利用深度学习和电脑视觉的演算法，对于识别和应对行人、交通标誌、骑乘者和其他车辆等动态元素至关重要。这种处理和响应现实场景的能力使自动驾驶系统比人类驾驶员更有效地预测和避免事故。此外，人工智慧不仅限于全自动驾驶汽车，它还在改变传统汽车的驾驶辅助系统。车道偏离预警、主动式车距维持定速系统和防撞系统等人工智慧主导的功能正在成为许多汽车的标配，从而减少人为失误——道路事故的主要原因。随着这些技术的不断发展，人工智慧将创造更安全的道路，减少交通拥堵，促进更有效率的驾驶，从而降低对环境的整体影响。随着监管机构开始为自动驾驶技术制定安全和合规标准，人工智慧不仅可以改善车辆的驾驶方式，还可以确保该技术符合严格的安全要求——这是交通安全和可靠性向前迈出的重要一步。

人工智慧将如何改善车队管理和营运效率？

在商业运输领域，人工智慧正在改变车队管理，帮助企业更有效率、更经济地经营业务。透过先进的主导分析技术，车队管理人员可以即时监控每辆车的健康状况，追踪消费量、引擎性能和煞车状况等关键指标，甚至预测何时需要维护。透过利用预测性维护功能，人工智慧可以最大限度地减少车辆停机时间，并避免代价高昂且破坏性的意外故障。这种主动的车队管理方法不仅可以降低成本，还可以延长每项资产的使用寿命，创造价值并确保更可靠的服务。人工智慧透过优化路线规划进一步提高营运效率。透过利用交通模式、天气和历史配送时间表等数据，人工智慧可以识别最高效的配送路线，帮助企业降低油耗、缩短运输时间并提高配送准确性。对于物流和公共运输组织而言，人工智慧驱动的需求预测工具也极具价值。透过分析季节性趋势、消费者需求和当地经济数据，人工智慧可以帮助车队管理人员动态调整时间表和资源，提高服务可用性并降低营运成本。人工智慧车队管理的环境效益也十分显着，因为优化的路线和高效的资源配置有助于减少碳排放，并满足对永续、环保的运输解决方案日益增长的需求。

人工智慧在交通管理和基础建设发展中扮演什么角色？

人工智慧是改变交通管理和指导基础建设的强大工具，这两个领域是城市规划中影响数百万人日常生活的关键领域。在交通管理方面，人工智慧系统分析来自感测器、监视录影机和联网汽车的即时数据，以监控交通流量、侦测拥塞点并预测潜在的延误。这些即时数据使人工智慧演算法能够动态调整交通号誌时序、重新规划交通路线并提醒驾驶选择替代路线，最终减少拥塞、提高安全性并使通勤更加顺畅。在基础设施建设方面，人工智慧对城市规划者至关重要，它提供宝贵的预测见解，有助于优化道路、桥樑和公共交通系统的设计。透过分析人口成长预测、车辆数据和通勤行为，人工智慧可以帮助基础设施做好准备，不仅满足当前需求，还能满足未来的需求。此外，人工智慧还可以透过嵌入式感测器的数据来帮助监控关键基础设施的健康状况，这些感测器可以检测结构变化、磨损和压力点，从而能够在问题升级为代价高昂且破坏性的故障之前进行早期维护。透过对基础设施管理采取预测性和预防性的方法，人工智慧支援开发有弹性、高效的交通系统，这是智慧城市愿景的基础，旨在改善城市交通、安全和居民生活品质。

推动交通运输人工智慧市场成长的因素有哪些？

推动人工智慧在交通运输市场成长的因素很多，既有技术创新的快速发展，也有产业需求的不断变化。其中最重要的是对自动驾驶汽车日益增长的需求，这得益于消费者对更安全、更便捷的交通途径的兴趣，以及旨在减少事故和排放气体的监管支持。交通管理对人工智慧的需求也在激增，尤其是在物流领域，企业正在寻求优化营运、降低成本和解决环境问题。都市化加快和智慧城市计画也是关键驱动因素，许多城市正在探索基于人工智慧的解决方案，以解决交通拥堵、提高公共安全和改善通勤体验。此外，物联网 (IoT) 设备和互联基础设施的广泛采用带来了新的网路安全风险，使得人工智慧在保护交通网路免受潜在威胁方面至关重要。交通运输产业的竞争格局也促使企业投资人工智慧，以提供卓越的客户体验、提高客户维繫和减少客户流失。最后，机器学习、自然语言处理和电脑视觉等人工智慧技术的进步使得这些解决方案更加便利、更具成本效益，即使是中小型企业也能利用人工智慧进行交通管理和创新。这些因素共同描绘出一个产业正在迅速拥抱人工智慧的景象，这不仅是为了满足当前的需求，也是为了为更有效率、更安全、更永续的未来交通运输铺路。

部分

组件（软体、硬体）、流程（讯号辨识、物件辨识、资料探勘）、应用程式（半自动卡车、自动卡车、卡车 HMI）

受访公司范例

  • 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

人工智慧集成

全球产业分析师正在利用可操作的专家内容和人工智慧工具改变市场和竞争情报。

Global 特定产业SLM 的典型规范，而是建立了一个从全球专家收集的内容库，其中包括视讯录影、部落格、搜寻引擎研究以及大量的公司、产品/服务和市场数据。

关税影响係数

全球产业分析师根据公司总部所在国家、製造地、进出口状况（成品和原始OEM）预测其竞争态势的变化。这种复杂且多面向的市场动态预计将以多种方式影响竞争对手，包括销货成本成本 (COGS) 上升、盈利下降、供应链重组以及其他微观和宏观市场动态。

目录

第一章调查方法

第二章执行摘要

  • 市场概览
  • 主要企业
  • 市场趋势和驱动因素
  • 全球市场展望

第三章市场分析

  • 美国
  • 加拿大
  • 日本
  • 中国
  • 欧洲
  • 法国
  • 德国
  • 义大利
  • 英国
  • 其他欧洲国家
  • 亚太地区
  • 其他地区

第四章 比赛

简介目录
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