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市场调查报告书
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1843570

2025年全球交通运输人工智慧市场报告

AI in Transportation Global Market Report 2025
出版日期: | 出版商: The Business Research Company | 英文 250 Pages | 商品交期: 2-10个工作天内

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简介目录

近年来，人工智慧在交通运输领域的市场规模迅速扩张，从2024年的37.8亿美元成长到2025年的44.1亿美元，复合年增长率达16.9%。预测期内的成长主要受交通管理最佳化、自动驾驶汽车的发展、对智慧公共交通的需求、预测性车辆维护以及智慧基础设施的兴起等因素所驱动。

预计未来几年，人工智慧在交通运输领域的市场将呈指数级增长，到2029年市场规模将达到92.4亿美元，复合年增长率（CAGR）为20.3%。预测期内的成长可归因于电动联网汽车的普及、人工智慧在城市交通中的应用、对永续智慧城市的关注、安全功能的增强以及远端操作和监控。预测期内的关键趋势包括人工智慧演算法和机器学习的进步、政府倡议和法规、自动驾驶汽车的进步、人工智慧驱动的预测性维护以及多模态的融合。

交通运输领域的人工智慧是指将人工智慧技术应用于交通运输的各个方面，例如自动驾驶车辆、交通管理、物流等。交通运输领域人工智慧的主要目标是提高乘客安全、减少事故和交通拥堵、最大限度地减少碳排放并降低整体成本。

人工智慧在交通运输领域的主要组成部分包括硬体和软体。硬体指的是电脑系统和其他电子设备运作所依赖的底层实体基础设施。讯号辨识、物体辨识和资料探勘是人工智慧交通运输过程中的关键活动。自然语言处理、深度学习、电脑视觉和情境感知等多种技术正被应用于半自动卡车、卡车编队行驶、预测性维护、精准测绘、自动驾驶卡车和人机互动等领域。

美国在2025年春季突然提高关税及其引发的贸易摩擦，对资讯科技产业，特别是硬体製造、资料基础设施和软体部署领域，产生了重大影响。进口半导体、电路基板和网路设备的关税上涨，推高了高科技公司、云端服务供应商和资料中心的生产和营运成本。在全球范围内采购笔记型电脑、伺服器和消费电子产品零件的公司，面临更长的前置作业时间和价格压力。同时，对专用软体征收的关税以及主要国际市场的报復性措施，扰乱了全球IT供应链，并降低了海外对美国製造技术的需求。为了应对这些挑战，该产业正在加大对国内晶片生产的投资，扩大供应商网络，并利用人工智慧驱动的自动化技术来增强韧性，更有效地控製成本。

这份《人工智慧在交通运输领域的市场研究报告》是商业研究公司最新发布的系列报告之一，提供人工智慧在运输领域的市场统计数据，例如全球市场规模、区域份额、竞争对手及其市场份额、详细的市场细分、市场趋势以及行业商机。该报告对人工智慧在交通运输领域的现状和未来发展趋势进行了深入分析，为您提供所需的一切全面资讯。

未来五年20.3%的成长率预测较我们先前的预测略微下调了0.1%。这一下调主要归因于美国与其他国家之间的关税影响。这可能会直接影响美国，推高依赖中国和法国雷射雷达和视觉处理器的自动驾驶汽车人工智慧系统的成本，减缓自动驾驶技术的普及。此外，由于相互关税以及贸易紧张局势和限制措施升级对全球经济和贸易造成的负面影响，这一影响也将更加广泛。

预计未来几年，汽车数量的成长将推动人工智慧在交通运输领域的市场成长。道路上车辆的增加与多种因素有关，包括人口成长、经济发展以及公共交通基础设施的不足。透过分析即时交通数据，人工智慧可以透过调整号誌灯配时和车道配置来优化交通流量、缓解拥塞并缩短出行时间，从而提升交通管理效率。例如，根据加拿大国家统计局2024年6月发布的报告，加拿大2022年註册汽车总数将达到2,630万辆，比2021年略微增加0.3%。因此，汽车数量的成长正在推动人工智慧在交通运输领域的市场扩张。

道路交通事故发生率的上升预计也将推动人工智慧在运输领域的市场成长。道路交通事故是指在公共道路上发生的至少涉及一辆车的事故，并造成至少一人受伤或死亡。人工智慧在交通运输领域的应用旨在缓解交通拥堵、提升交通流量并最大限度地减少事故发生的可能性。例如，美国公路交通安全管理局估计，2022年上半年美国道路交通事故死亡人数将达20,175人，比2021年增加0.5%。因此，道路交通事故数量的增加是推动人工智慧在运输领域应用的重要因素。

交通运输人工智慧市场的主要企业正在建立策略伙伴关係，以充分利用宝贵的资讯和资源，从而促进创新和新技术的发展。此类伙伴关係能够实现协作，使每家公司都能汇集各自的专业知识和资源，共同打造创新的人工智慧主导型交通运输解决方案。例如，2023年10月，美国大型电商公司亚马逊与自动车辆侦测服务供应商UVeye合作，开发了一种名为「自动车辆侦测」（AVI）的人工智慧技术。 AVI旨在侦测送货车辆是否有轮胎变形、底盘磨损和车身变形等异常情况。该系统能够以每小时5英里的速度快速扫描整车，识别问题，并根据严重程度进行分类，然后将结果传输到电脑。这项技术旨在提高亚马逊送货车辆的安全性，并减少人工检查的需求。

技术进步是交通运输领域人工智慧市场的一大趋势，领先企业纷纷采用新技术以保持竞争力。 2023年3月，总部位于新加坡的云端处理服务供应商阿里云端推出了EasyDispatch，这是一个基于人工智慧的物流解决方案。该方案是一个由人工智慧驱动的即时服务调度系统，能够提升供应链管理效率并降低物流成本。它提供高精度的地址处理和现场服务调度能力，确保高效能、高稳定性和随时随地快速存取。

2022年10月，美国光达技术公司Velodyne Lidar收购了人工智慧软体公司Bluecity，收购金额未揭露。此次收购将透过整合人工智慧驱动的自主视觉系统和基于雷射雷达的解决方案，增强Velodyne应对安全、交通和基础设施挑战的能力。总部位于加拿大的Bluecity专注于为下一代光达解决方案开发人工智慧软体，用于侦测和识别车辆、骑乘者和行人。

进军交通运输人工智慧市场的关键公司包括：沃尔沃集团、梅赛德斯-奔驰集团、Alphabet公司、英特尔公司、英伟达公司、法雷奥公司、采埃孚股份公司、大陆集团、麦格纳国际公司、微软公司、帕卡公司、罗伯特·博世有限公司、斯堪尼亚集团、Xevo、Zonar Systems、Hyonar Systems、Wyye、Sweyar Systems、Haymo勒公司Global公司、Aptiv公司、TomTom公司、HERE Technologies公司、西门子公司、思科系统公司、IBM公司、Cognata有限公司、Argo AI、Aurora Innovation公司、Zoox公司、Embark Technology公司、TuSimple Holdings公司和PlusAI公司。

2024年，北美是人工智慧在交通运输领域市场最大的地区。人工智慧在交通运输领域市场报告涵盖的地区包括亚太地区、西欧、东欧、北美、南美、中东和非洲。

人工智慧在交通运输领域的市场报告涵盖以下国家：澳洲、巴西、中国、法国、德国、印度、印尼、日本、俄罗斯、韩国、英国、美国、加拿大、义大利和西班牙。

交通运输人工智慧市场由提供智慧交通管理、安全管理、自动交通事故侦测、高级驾驶辅助系统 (ADAS)、路线优化等服务的业者所获得的收入所构成。市场价值包括服务供应商销售的或包含在其服务产品中的相关商品的价值。交通运输人工智慧市场还包括储存设备、网路连接器和储存 IOPS 的销售。此市场价值为“出厂价”，即商品製造商或生产商向其他营业单位（包括下游製造商、批发商、经销商和零售商）或直接向最终客户销售的商品价值。该市场中的商品价值还包括商品製造商提供的任何相关服务。

目录

第一章执行摘要

第二章 市场特征

第三章 市场趋势与策略

第四章 市场：宏观经济情景，包括利率、通货膨胀、地缘政治、贸易战和关税，以及新冠疫情及其復苏对市场的影响

第五章 全球成长分析与策略分析框架

  • 人工智慧在全球交通运输中的应用：PESTEL 分析（政治、社会、技术、环境、法律因素、驱动因素和限制因素）
  • 终端用户产业分析
  • 全球交通运输人工智慧市场：成长率分析
  • 全球交通运输领域人工智慧市场表现：规模与成长，2019-2024年
  • 全球交通运输领域人工智慧市场预测：规模与成长，2024-2029年，2034年预测
  • 全球交通运输领域的人工智慧：潜在市场规模（TAM）

第六章 市场细分

  • 全球交通运输领域人工智慧市场：按组件划分，实际值和预测值，2019-2024年、2024-2029年预测值、2034年预测值
  • 硬体
  • 软体
  • 全球交通运输领域人工智慧市场：依流程划分，实际结果与预测，2019-2024年、2024-2029年预测、2034年预测
  • 讯号识别
  • 目标识别
  • 资料探勘
  • 全球交通运输领域人工智慧市场：依技术类型划分，实际值与预测值，2019-2024年、2024-2029年预测值、2034年预测值
  • 自然语言处理
  • 深度学习
  • 电脑视觉
  • 情境感知
  • 全球交通运输领域人工智慧市场：按应用、效能和预测划分，2019-2024年、2024-2029年预测、2034年预测
  • 半自动驾驶卡车
  • 卡车编队行驶
  • 预测性维护
  • 精度和地图绘製
  • 自动驾驶卡车
  • 人机互动介面
  • 其他用途
  • 全球交通运输领域人工智慧市场：细分市场、硬体（按类型）、效能及预测，2019-2024年、2024-2029年预测、2034年预测
  • 感应器
  • 相机
  • LiDAR
  • 雷达
  • GPS装置
  • 全球交通运输领域人工智慧市场：细分市场、软体（按类型）、效能及预测，2019-2024年、2024-2029年预测、2034年预测
  • 交通管理软体
  • 自动驾驶软体
  • 路线规划软体
  • 车队管理软体
  • 预测分析软体

第七章 区域和国家分析

  • 全球交通运输领域人工智慧市场：区域分析、预测与趋势（2019-2024年、2024-2029年预测、2034年预测）
  • 全球交通运输领域人工智慧市场：国家、表现与预测，2019-2024年、2024-2029年预测、2034年预测

第八章 亚太市场

第九章：中国市场

第十章 印度市场

第十一章 日本市场

第十二章：澳洲市场

第十三章 印尼市场

第十四章 韩国市场

第十五章 西欧市场

第十六章英国市场

第十七章：德国市场

第十八章：法国市场

第十九章：义大利市场

第二十章：西班牙市场

第21章 东欧市场

第22章 俄罗斯市场

第23章 北美市场

第24章美国市场

第25章：加拿大市场

第26章 南美洲市场

第27章：巴西市场

第28章 中东市场

第29章：非洲市场

第三十章：竞争格局与公司概况

  • 人工智慧在交通运输市场的应用：竞争格局
  • 交通运输领域人工智慧市场：公司概况
    • Volvo AB Overview, Products and Services, Strategy and Financial Analysis
    • Mercedes-Benz Group AG Overview, Products and Services, Strategy and Financial Analysis
    • Alphabet Inc. Overview, Products and Services, Strategy and Financial Analysis
    • Intel Corporation Overview, Products and Services, Strategy and Financial Analysis
    • NVIDIA Corporation Overview, Products and Services, Strategy and Financial Analysis

第31章：其他领先和创新企业

  • Valeo SA
  • ZF Friedrichshafen AG
  • Continental AG
  • Magna International Inc.
  • Microsoft Corporation
  • PACCAR Inc.
  • Robert Bosch GmbH
  • Scania Group
  • Xevo Inc.
  • Zonar Systems Inc.
  • Daimler AG
  • Waymo LLC
  • Tesla Inc.
  • Uber Technologies Inc.
  • Mobileye Global Inc.

第32章 全球市场竞争基准化分析与仪錶板

第33章 重大併购

第34章 近期市场趋势

第35章：高潜力市场国家、细分市场与策略

  • 2029年人工智慧在交通运输领域的市场展望：提供新机会的国家
  • 2029年交通运输领域人工智慧市场：新兴细分市场机会
  • 2029年交通运输领域人工智慧市场：成长策略
    • 基于市场趋势的策略
    • 竞争对手策略

第36章附录

简介目录
Product Code: r23888u

AI in transportation involves the application of artificial intelligence technologies in various aspects of transportation, including autonomous vehicles, traffic management, and logistics. The primary goals of AI in transportation include improving passenger safety, reducing accidents and traffic congestion, minimizing carbon emissions, and lowering overall costs.

The main components of AI in transportation comprise hardware and software. Hardware refers to the physical infrastructure that forms the basis for computer systems and other electronic devices to operate. In AI transportation processes, key activities include signal recognition, object recognition, and data mining. Various technology types, such as natural language processing, deep learning, computer vision, and context-awareness, are applied in applications such as semi-autonomous trucks, truck platooning, predictive maintenance, precision mapping, autonomous trucks, machine-human interface, and others.

Note that the outlook for this market is being affected by rapid changes in trade relations and tariffs globally. The report will be updated prior to delivery to reflect the latest status, including revised forecasts and quantified impact analysis. The report's Recommendations and Conclusions sections will be updated to give strategies for entities dealing with the fast-moving international environment.

The sharp rise in U.S. tariffs and the ensuing trade tensions in spring 2025 are having a significant impact on the information technology sector, especially in hardware manufacturing, data infrastructure, and software deployment. Increased duties on imported semiconductors, circuit boards, and networking equipment have driven up production and operating costs for tech companies, cloud service providers, and data centers. Firms that depend on globally sourced components for laptops, servers, and consumer electronics are grappling with extended lead times and mounting pricing pressures. At the same time, tariffs on specialized software and retaliatory actions by key international markets have disrupted global IT supply chains and dampened foreign demand for U.S.-made technologies. In response, the sector is ramping up investments in domestic chip production, broadening its supplier network, and leveraging AI-powered automation to improve resilience and manage costs more effectively.

The AI in transportation market research report is one of a series of new reports from The Business Research Company that provides AI in transportation market statistics, including AI in transportation industry global market size, regional shares, competitors with a AI in transportation market share, detailed AI in transportation market segments, market trends and opportunities, and any further data you may need to thrive in the AI in transportation industry. This AI in transportation market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

The ai in transportation market size has grown rapidly in recent years. It will grow from $3.78 billion in 2024 to $4.41 billion in 2025 at a compound annual growth rate (CAGR) of 16.9%. The growth in the historic period can be attributed to traffic management optimization, autonomous vehicles development, demand for intelligent public transportation, predictive maintenance for vehicles, rise in smart infrastructure.

The ai in transportation market size is expected to see exponential growth in the next few years. It will grow to $9.24 billion in 2029 at a compound annual growth rate (CAGR) of 20.3%. The growth in the forecast period can be attributed to expansion of electric and connected vehicles, integration of AI in urban mobility, focus on sustainable and smart cities, enhanced safety features, remote operations and monitoring. Major trends in the forecast period include advancements in AI algorithms and machine learning, government initiatives and regulations, autonomous vehicles advancements, predictive maintenance with ai, multimodal integration.

The forecast of 20.3% growth over the next five years reflects a slight reduction of 0.1% from the previous projection. This reduction is primarily due to the impact of tariffs between the US and other countries. This is likely to directly affect the US by increasing costs for autonomous vehicle AI systems, dependent on LiDAR and vision processors from China and France, delaying self-driving technology adoption. The effect will also be felt more widely due to reciprocal tariffs and the negative effect on the global economy and trade due to increased trade tensions and restrictions.

The increasing number of vehicles is projected to drive the growth of the AI in transportation market in the coming years. This rise in vehicles on the road can be linked to various factors, such as population growth, economic development, and the shortcomings of public transportation infrastructure. AI can enhance traffic management by analyzing real-time traffic data to optimize traffic flow, alleviate congestion, and decrease travel times through adjustments in signal timings and lane configurations. For example, a report released in June 2024 by Statistics Canada, a national statistical agency in Canada, noted that the total number of registered road motor vehicles in the country reached 26.3 million in 2022, reflecting a modest increase of 0.3% from 2021. Consequently, the growing number of vehicles is fueling the expansion of the AI in transportation market.

The rising incidence of road accidents is also expected to fuel the growth of the AI in transportation market. Road accidents are defined as collisions involving at least one vehicle on a public road resulting in at least one person being injured or killed. AI in transportation is deployed to manage traffic congestion, enhance traffic flow, and minimize the likelihood of accidents. For instance, the National Highway Traffic Safety Administration reported an estimated 20,175 fatalities in on-road car accidents during the first half of 2022 in the United States, reflecting a 0.5% increase from 2021. Consequently, the increasing number of road accidents is a driving force behind the adoption of AI in the transportation sector.

Major companies in the AI in transportation market are forming strategic partnerships to leverage valuable information and resources, fostering innovation and the development of new technologies. These partnerships enable collaboration, allowing companies to pool their expertise and resources to create innovative AI-driven transportation solutions. For example, in October 2023, Amazon, a US-based e-commerce giant, entered into a partnership with UVeye, an automatic vehicle inspection provider, to develop an AI-based technology called Automated Vehicle Inspection (AVI). AVI is designed to inspect delivery vans for anomalies such as tire deformities, undercarriage wear, and body deformations. The system performs a quick full-vehicle scan while the vehicle is moving at 5 mph, identifies issues, classifies them by severity, and sends results to a computer. This technology aims to enhance the safety of Amazon's delivery fleet and reduce the need for manual inspections.

Technological advancements are a prominent trend in the AI in transportation market, with major companies adopting new technologies to maintain their competitive positions. In March 2023, Alibaba Cloud, a Singapore-based cloud computing services provider, introduced EasyDispatch, an AI-driven logistics solution. This solution features an AI-powered real-time service dispatch system that enhances supply chain management and reduces logistics costs. It offers high-accuracy address processing and field service dispatch capabilities, providing high performance, stability, and fast access from any location.

In October 2022, Velodyne Lidar, a US-based lidar technology company, acquired the AI software company Bluecity for an undisclosed amount. This acquisition expands Velodyne's capabilities by incorporating AI-powered autonomous vision systems and lidar-based solutions to address safety, traffic, and infrastructure challenges. Bluecity, based in Canada, specializes in AI software for next-generation lidar-based solutions that detect and identify vehicles, bicycles, and pedestrians.

Major companies operating in the AI in transportation market include Volvo AB, Mercedes-Benz Group AG, Alphabet Inc., Intel Corporation, NVIDIA Corporation, Valeo SA, ZF Friedrichshafen AG, Continental AG, Magna International Inc., Microsoft Corporation, PACCAR Inc., Robert Bosch GmbH, Scania Group, Xevo Inc., Zonar Systems Inc., Daimler AG, Waymo LLC, Tesla Inc., Uber Technologies Inc., Mobileye Global Inc., Aptiv plc, TomTom N.V., HERE Technologies, Siemens AG, Cisco Systems Inc., IBM Corporation, Cognata Ltd., Argo AI, Aurora Innovation Inc., Zoox Inc., Embark Technology Inc., TuSimple Holdings Inc., PlusAI Inc.

North America was the largest region in the AI in transportation market in 2024. The regions covered in the ai in transportation market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa

The countries covered in the ai in transportation market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain

The AI in transportation market consists of revenues earned by entities by providing Intelligent traffic management, safety management, automatic traffic incident detection, advanced driver-assistance systems and route optimization. The market value includes the value of related goods sold by the service provider or included within the service offering. The AI in transportation market also includes sales of storage devices, network connectors, and storage IOPS. Values in this market are 'factory gate' values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

AI in Transportation Global Market Report 2025 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses on ai in transportation market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

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Where is the largest and fastest growing market for ai in transportation ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The ai in transportation market global report from the Business Research Company answers all these questions and many more.

The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.

  • The market characteristics section of the report defines and explains the market.
  • The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
  • The forecasts are made after considering the major factors currently impacting the market. These include:

The forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.

  • Market segmentations break down the market into sub markets.
  • The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth.
  • The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
  • The trends and strategies section analyses the shape of the market as it emerges from the crisis and suggests how companies can grow as the market recovers.

Scope

  • Markets Covered:1) By Components: Hardware; Software
  • 2) By Process: Signal Recognition; Object Recognition; Data Mining
  • 3) By Technology Type: Natural Language Processing; Deep Learning; Computer Vision; Context-Awareness
  • 4) By Application: Semi-Autonomous Truck; Truck Platooning; Predictive Maintenance; Precision And Mapping; Autonomous Truck; Machine Human Interface; Other Applications
  • Subsegments:
  • 1) By Hardware: Sensors; Cameras; LiDAR; Radar; GPS Devices
  • 2) By Software: Traffic Management Software; Autonomous Driving Software; Route Planning Software; Fleet Management Software; Predictive Analytics Software
  • Companies Mentioned: Volvo AB; Mercedes-Benz Group AG; Alphabet Inc.; Intel Corporation; NVIDIA Corporation; Valeo SA; ZF Friedrichshafen AG; Continental AG; Magna International Inc.; Microsoft Corporation; PACCAR Inc.; Robert Bosch GmbH; Scania Group; Xevo Inc.; Zonar Systems Inc.; Daimler AG; Waymo LLC; Tesla Inc.; Uber Technologies Inc.; Mobileye Global Inc.; Aptiv plc; TomTom N.V.; HERE Technologies; Siemens AG; Cisco Systems Inc.; IBM Corporation; Cognata Ltd.; Argo AI; Aurora Innovation Inc.; Zoox Inc.; Embark Technology Inc.; TuSimple Holdings Inc.; PlusAI Inc.
  • Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Russia; South Korea; UK; USA; Canada; Italy; Spain
  • Regions: Asia-Pacific; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
  • Time Series: Five years historic and ten years forecast.
  • Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita,
  • Data Segmentations: country and regional historic and forecast data, market share of competitors, market segments.
  • Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
  • Delivery Format: PDF, Word and Excel Data Dashboard.

Table of Contents

1. Executive Summary

2. AI in Transportation Market Characteristics

3. AI in Transportation Market Trends And Strategies

4. AI in Transportation Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Trade Wars and Tariffs, And Covid And Recovery On The Market

  • 4.1. Supply Chain Impact from Tariff War & Trade Protectionism

5. Global AI in Transportation Growth Analysis And Strategic Analysis Framework

  • 5.1. Global AI in Transportation PESTEL Analysis (Political, Social, Technological, Environmental and Legal Factors, Drivers and Restraints)
  • 5.2. Analysis Of End Use Industries
  • 5.3. Global AI in Transportation Market Growth Rate Analysis
  • 5.4. Global AI in Transportation Historic Market Size and Growth, 2019 - 2024, Value ($ Billion)
  • 5.5. Global AI in Transportation Forecast Market Size and Growth, 2024 - 2029, 2034F, Value ($ Billion)
  • 5.6. Global AI in Transportation Total Addressable Market (TAM)

6. AI in Transportation Market Segmentation

  • 6.1. Global AI in Transportation Market, Segmentation By Components, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Hardware
  • Software
  • 6.2. Global AI in Transportation Market, Segmentation By Process, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Signal Recognition
  • Object Recognition
  • Data Mining
  • 6.3. Global AI in Transportation Market, Segmentation By Technology Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Natural Language Processing
  • Deep Learning
  • Computer Vision
  • Context-Awareness
  • 6.4. Global AI in Transportation Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Semi-Autonomous Truck
  • Truck Platooning
  • Predictive Maintenance
  • Precision And Mapping
  • Autonomous Truck
  • Machine Human Interface
  • Other Applications
  • 6.5. Global AI in Transportation Market, Sub-Segmentation Of Hardware, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Sensors
  • Cameras
  • LiDAR
  • Radar
  • GPS Devices
  • 6.6. Global AI in Transportation Market, Sub-Segmentation Of Software, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Traffic Management Software
  • Autonomous Driving Software
  • Route Planning Software
  • Fleet Management Software
  • Predictive Analytics Software

7. AI in Transportation Market Regional And Country Analysis

  • 7.1. Global AI in Transportation Market, Split By Region, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 7.2. Global AI in Transportation Market, Split By Country, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

8. Asia-Pacific AI in Transportation Market

  • 8.1. Asia-Pacific AI in Transportation Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 8.2. Asia-Pacific AI in Transportation Market, Segmentation By Components, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 8.3. Asia-Pacific AI in Transportation Market, Segmentation By Process, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 8.4. Asia-Pacific AI in Transportation Market, Segmentation By Technology Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

9. China AI in Transportation Market

  • 9.1. China AI in Transportation Market Overview
  • 9.2. China AI in Transportation Market, Segmentation By Components, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
  • 9.3. China AI in Transportation Market, Segmentation By Process, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
  • 9.4. China AI in Transportation Market, Segmentation By Technology Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion

10. India AI in Transportation Market

  • 10.1. India AI in Transportation Market, Segmentation By Components, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 10.2. India AI in Transportation Market, Segmentation By Process, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 10.3. India AI in Transportation Market, Segmentation By Technology Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

11. Japan AI in Transportation Market

  • 11.1. Japan AI in Transportation Market Overview
  • 11.2. Japan AI in Transportation Market, Segmentation By Components, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 11.3. Japan AI in Transportation Market, Segmentation By Process, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 11.4. Japan AI in Transportation Market, Segmentation By Technology Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

12. Australia AI in Transportation Market

  • 12.1. Australia AI in Transportation Market, Segmentation By Components, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 12.2. Australia AI in Transportation Market, Segmentation By Process, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 12.3. Australia AI in Transportation Market, Segmentation By Technology Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

13. Indonesia AI in Transportation Market

  • 13.1. Indonesia AI in Transportation Market, Segmentation By Components, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 13.2. Indonesia AI in Transportation Market, Segmentation By Process, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 13.3. Indonesia AI in Transportation Market, Segmentation By Technology Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

14. South Korea AI in Transportation Market

  • 14.1. South Korea AI in Transportation Market Overview
  • 14.2. South Korea AI in Transportation Market, Segmentation By Components, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 14.3. South Korea AI in Transportation Market, Segmentation By Process, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 14.4. South Korea AI in Transportation Market, Segmentation By Technology Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

15. Western Europe AI in Transportation Market

  • 15.1. Western Europe AI in Transportation Market Overview
  • 15.2. Western Europe AI in Transportation Market, Segmentation By Components, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 15.3. Western Europe AI in Transportation Market, Segmentation By Process, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 15.4. Western Europe AI in Transportation Market, Segmentation By Technology Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

16. UK AI in Transportation Market

  • 16.1. UK AI in Transportation Market, Segmentation By Components, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 16.2. UK AI in Transportation Market, Segmentation By Process, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 16.3. UK AI in Transportation Market, Segmentation By Technology Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

17. Germany AI in Transportation Market

  • 17.1. Germany AI in Transportation Market, Segmentation By Components, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 17.2. Germany AI in Transportation Market, Segmentation By Process, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 17.3. Germany AI in Transportation Market, Segmentation By Technology Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

18. France AI in Transportation Market

  • 18.1. France AI in Transportation Market, Segmentation By Components, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 18.2. France AI in Transportation Market, Segmentation By Process, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 18.3. France AI in Transportation Market, Segmentation By Technology Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

19. Italy AI in Transportation Market

  • 19.1. Italy AI in Transportation Market, Segmentation By Components, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 19.2. Italy AI in Transportation Market, Segmentation By Process, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 19.3. Italy AI in Transportation Market, Segmentation By Technology Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

20. Spain AI in Transportation Market

  • 20.1. Spain AI in Transportation Market, Segmentation By Components, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 20.2. Spain AI in Transportation Market, Segmentation By Process, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 20.3. Spain AI in Transportation Market, Segmentation By Technology Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

21. Eastern Europe AI in Transportation Market

  • 21.1. Eastern Europe AI in Transportation Market Overview
  • 21.2. Eastern Europe AI in Transportation Market, Segmentation By Components, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 21.3. Eastern Europe AI in Transportation Market, Segmentation By Process, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 21.4. Eastern Europe AI in Transportation Market, Segmentation By Technology Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

22. Russia AI in Transportation Market

  • 22.1. Russia AI in Transportation Market, Segmentation By Components, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 22.2. Russia AI in Transportation Market, Segmentation By Process, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 22.3. Russia AI in Transportation Market, Segmentation By Technology Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

23. North America AI in Transportation Market

  • 23.1. North America AI in Transportation Market Overview
  • 23.2. North America AI in Transportation Market, Segmentation By Components, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 23.3. North America AI in Transportation Market, Segmentation By Process, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 23.4. North America AI in Transportation Market, Segmentation By Technology Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

24. USA AI in Transportation Market

  • 24.1. USA AI in Transportation Market Overview
  • 24.2. USA AI in Transportation Market, Segmentation By Components, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 24.3. USA AI in Transportation Market, Segmentation By Process, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 24.4. USA AI in Transportation Market, Segmentation By Technology Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

25. Canada AI in Transportation Market

  • 25.1. Canada AI in Transportation Market Overview
  • 25.2. Canada AI in Transportation Market, Segmentation By Components, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 25.3. Canada AI in Transportation Market, Segmentation By Process, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 25.4. Canada AI in Transportation Market, Segmentation By Technology Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

26. South America AI in Transportation Market

  • 26.1. South America AI in Transportation Market Overview
  • 26.2. South America AI in Transportation Market, Segmentation By Components, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 26.3. South America AI in Transportation Market, Segmentation By Process, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 26.4. South America AI in Transportation Market, Segmentation By Technology Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

27. Brazil AI in Transportation Market

  • 27.1. Brazil AI in Transportation Market, Segmentation By Components, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 27.2. Brazil AI in Transportation Market, Segmentation By Process, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 27.3. Brazil AI in Transportation Market, Segmentation By Technology Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

28. Middle East AI in Transportation Market

  • 28.1. Middle East AI in Transportation Market Overview
  • 28.2. Middle East AI in Transportation Market, Segmentation By Components, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 28.3. Middle East AI in Transportation Market, Segmentation By Process, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 28.4. Middle East AI in Transportation Market, Segmentation By Technology Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

29. Africa AI in Transportation Market

  • 29.1. Africa AI in Transportation Market Overview
  • 29.2. Africa AI in Transportation Market, Segmentation By Components, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 29.3. Africa AI in Transportation Market, Segmentation By Process, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 29.4. Africa AI in Transportation Market, Segmentation By Technology Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

30. AI in Transportation Market Competitive Landscape And Company Profiles

  • 30.1. AI in Transportation Market Competitive Landscape
  • 30.2. AI in Transportation Market Company Profiles
    • 30.2.1. Volvo AB Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.2. Mercedes-Benz Group AG Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.3. Alphabet Inc. Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.4. Intel Corporation Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.5. NVIDIA Corporation Overview, Products and Services, Strategy and Financial Analysis

31. AI in Transportation Market Other Major And Innovative Companies

  • 31.1. Valeo SA
  • 31.2. ZF Friedrichshafen AG
  • 31.3. Continental AG
  • 31.4. Magna International Inc.
  • 31.5. Microsoft Corporation
  • 31.6. PACCAR Inc.
  • 31.7. Robert Bosch GmbH
  • 31.8. Scania Group
  • 31.9. Xevo Inc.
  • 31.10. Zonar Systems Inc.
  • 31.11. Daimler AG
  • 31.12. Waymo LLC
  • 31.13. Tesla Inc.
  • 31.14. Uber Technologies Inc.
  • 31.15. Mobileye Global Inc.

32. Global AI in Transportation Market Competitive Benchmarking And Dashboard

33. Key Mergers And Acquisitions In The AI in Transportation Market

34. Recent Developments In The AI in Transportation Market

35. AI in Transportation Market High Potential Countries, Segments and Strategies

  • 35.1 AI in Transportation Market In 2029 - Countries Offering Most New Opportunities
  • 35.2 AI in Transportation Market In 2029 - Segments Offering Most New Opportunities
  • 35.3 AI in Transportation Market In 2029 - Growth Strategies
    • 35.3.1 Market Trend Based Strategies
    • 35.3.2 Competitor Strategies

36. Appendix

  • 36.1. Abbreviations
  • 36.2. Currencies
  • 36.3. Historic And Forecast Inflation Rates
  • 36.4. Research Inquiries
  • 36.5. The Business Research Company
  • 36.6. Copyright And Disclaimer