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2025年全球交通运输人工智慧市场报告

Artificial Intelligence 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

预计未来几年交通运输领域的人工智慧市场将呈指数级增长，到 2029 年将达到 90.2 亿美元，复合年增长率为 20.6%。预测期内的成长动力包括：人工智慧应用在供应链和物流中的扩展以实现高效运营、人工智慧在自动驾驶汽车开发中的应用激增、人工智慧在多式联运规划和协调中的整合、人工智慧在即时路线优化和交通预测中的应用日益增多，以及公共交通系统对人工智慧解决方案日益增长的需求。预测期内的主要趋势包括开发人工智慧驱动的即服务(MAAS) 平台、强调可解释的人工智慧以提高决策流程的透明度、使用人工智慧实现个人化和自适应车载体验、针对特定交通方式和产业客製化人工智慧解决方案，以及人工智慧开发人员和交通相关人员之间的合作。

未来五年的预测成长率为20.6%，较我们先前对该市场的预测略有下降0.3%。这一下降主要源自于美国与其他国家之间关税的影响。关税导致感测器和光达技术成本上升，这可能会阻碍人工智慧在交通运输系统中的整合，并延缓自动驾驶汽车和智慧交通系统的部署。由于互惠关税以及不断升级的贸易紧张局势和限制对全球经济和贸易造成的负面影响，其影响也将更加广泛。

自动驾驶汽车日益增长的需求预计将继续推动人工智慧在交通运输市场的成长。自动驾驶汽车是一种利用各种车载技术和感测器（例如主动式车距维持定速系统、主动转向、防锁死煞车系统、GPS导航、雷射和雷达）以「自动驾驶」模式从一个地点行驶到另一个地点的交通系统。这些车辆依靠人工智慧实现安全驾驶并检测潜在事故和障碍物。例如，加拿大研究机构维多利亚交通政策研究所2023年12月的报告预测，到2045年，一半的新车将自动驾驶，到2060年，一半的车辆将自动驾驶。因此，日益增长的自动驾驶汽车需求可能会推动人工智慧在交通运输领域的扩张。

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、通膨、地缘政治、贸易战和关税，以及新冠疫情和復苏对市场的影响

第五章 全球成长分析与策略分析框架

  • 全球交通运输中的人工智慧：PESTEL 分析（政治、社会、技术、环境、法律因素、驱动因素和限制因素）
  • 最终用途产业分析
  • 全球交通运输人工智慧市场：成长率分析
  • 全球交通运输人工智慧市场表现：规模与成长，2019-2024
  • 全球交通运输人工智慧市场预测：规模与成长，2024-2029 年，2034 年
  • 交通运输中的人工智慧：全球总潜在市场（TAM）

第六章市场区隔

  • 全球交通运输领域人工智慧市场：依产品、现况及预测，2019-2024 年、2024-2029 年、2034 年
  • 硬体
  • 软体
  • 全球交通运输人工智慧市场：机器学习技术、效能与预测，2019-2024 年、2024-2029 年、2034 年
  • 深度学习
  • 电脑视觉
  • 情境感知
  • 自然语言处理
  • 全球交通运输人工智慧市场：依流程、实际结果及预测，2019-2024 年、2024-2029 年、2034 年
  • 讯号识别
  • 物体辨识
  • 资料探勘
  • 全球交通运输人工智慧市场：应用、绩效及预测（2019-2024 年、2024-2029 年及 2034 年）
  • 半自动卡车
  • 卡车排
  • 预测性维护
  • 准确性和映射
  • 自动驾驶卡车
  • 其他用途
  • 全球交通运输人工智慧市场，按硬体类型、效能和预测细分，2019-2024 年、2024-2029 年、2034 年
  • 感应器
  • 边缘运算设备
  • 控制单元和处理器
  • 通讯设备
  • 全球交通运输市场人工智慧、按软体类型细分、实际结果及预测（2019-2024 年、2024-2029 年及 2034 年）
  • 用于路线优化的AI演算法
  • 自动驾驶汽车软体
  • 车队管理软体
  • 预测性维护解决方案
  • 交通管理系统

第七章 区域和国家分析

  • 全球交通运输人工智慧市场：按地区、绩效及预测，2019-2024 年、2024-2029 年、2034 年
  • 全球交通运输人工智慧市场：国家、绩效及预测（2019-2024 年、2024-2029 年及 2034 年）

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20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30章：竞争格局与公司概况

  • 交通运输中的人工智慧：竞争格局
  • 交通运输领域的人工智慧市场：公司简介
    • The Volvo Group Overview, Products and Services, Strategy and Financial Analysis
    • Mercedes-Benz Group AG Overview, Products and Services, Strategy and Financial Analysis
    • Scania AB Overview, Products and Services, Strategy and Financial Analysis
    • Peloton Interactive Inc. Overview, Products and Services, Strategy and Financial Analysis
    • Valeo SA Overview, Products and Services, Strategy and Financial Analysis

第31章：其他领先和创新企业

  • Xevo Inc.
  • Nvidia Corporation
  • Intel Corporation
  • Robert Bosch GmbH
  • Continental AG
  • Microsoft Corporation
  • International Business Machines Corp
  • Magna International Inc.
  • ZF Friedrichshafen AG
  • Alphabet Inc.
  • Daimler AG
  • General Motors Company
  • Aptiv plc
  • Denso Corporation
  • Xilinx Inc.

第 32 章全球市场竞争基准化分析与仪表板

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年交通运输市场中的人工智慧：提供新机会的国家
  • 2029年交通运输市场中的人工智慧：细分领域将带来新机会
  • 2029年交通运输市场中的人工智慧：成长策略
    • 基于市场趋势的策略
    • 竞争对手的策略

第36章 附录

简介目录
Product Code: r21024u

Artificial intelligence in transportation involves the application of AI to process and predict data for travel and transportation operations, with the aim of improving efficiency. This includes the collection of traffic patterns, the minimization of road congestion, and the enhancement of public transportation schedules. Through these processes, AI contributes to optimizing logistics and reducing turnaround time.

The primary offerings in artificial intelligence in transportation are categorized into hardware and software. Hardware constitutes the physical components of a computer or its delivery mechanisms for executing software instructions. In the realm of transportation AI, hardware includes neuromorphic and von Neumann hardware. Various technologies, such as deep learning, computer vision, context awareness, and natural language processing, play a role in processes like signal recognition, object recognition, and data mining. These technologies find applications in semi-autonomous trucks, truck platooning, predictive maintenance, precision mapping, autonomous trucks, and other related areas.

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 resulting trade tensions in spring 2025 are having a considerable impact on the transport services sector by increasing the costs of vehicles, spare parts, and fuel-critical inputs frequently imported from tariff-affected regions. Freight operators, logistics companies, and public transportation providers are experiencing margin pressures as elevated equipment and maintenance expenses coincide with limited flexibility to pass these costs on to customers due to intense market competition. This climate of uncertainty has also led to delays in fleet upgrades and the adoption of greener, more energy-efficient vehicles, hindering progress toward sustainability objectives. In response, transport firms are enhancing route optimization, investing in fuel-efficient technologies, renegotiating supplier agreements, and adopting collaborative logistics strategies to share resources and cushion the financial impact of rising tariffs.

The artificial intelligence in transportation market research report is one of a series of new reports from The Business Research Company that provides artificial intelligence in transportation market statistics, including artificial intelligence in transportation industry global market size, regional shares, competitors with a artificial intelligence in transportation market share, detailed artificial intelligence in transportation market segments, market trends and opportunities, and any further data you may need to thrive in the artificial intelligence in transportation industry. This artificial intelligence 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 artificial intelligence in transportation market size has grown rapidly in recent years. It will grow from $3.63 billion in 2024 to $4.27 billion in 2025 at a compound annual growth rate (CAGR) of 17.6%. The growth in the historic period can be attributed to use of cameras and sensors for collision avoidance, use of ai to analyze information in real time, use of high-performance computing and deep learning systems, growth inThe availability of big data for training ai models, increasing emphasis on automation for improved safety and efficiency.

The artificial intelligence in transportation market size is expected to see exponential growth in the next few years. It will grow to $9.02 billion in 2029 at a compound annual growth rate (CAGR) of 20.6%. The growth in the forecast period can be attributed to expansion of ai applications in supply chain and logistics for efficient operations, surge in adoption of ai for autonomous vehicle development, integration of ai in multimodal transportation planning and coordination, growth in the use of ai for real-time route optimization and traffic prediction, increasing demand for ai-driven solutions in public transportation systems. Major trends in the forecast period include development of ai-powered mobility-as-a-service (maas) platforms, emphasis on explainable ai for transparency in decision-making processes, use of ai for personalized and adaptive in-vehicle experiences, customization of ai solutions for specific transportation modes and industries, collaboration between ai developers and transportation stakeholders.

The forecast of 20.6% growth over the next five years reflects a modest reduction of 0.3% from the previous estimate for this market. This reduction is primarily due to the impact of tariffs between the US and other countries. Tariff-related cost surges for sensor and LiDAR technology could obstruct AI integration across transit systems, delaying autonomous vehicle deployment and intelligent traffic systems. 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 rising demand for autonomous vehicles is expected to drive the growth of artificial intelligence in the transportation market moving forward. Autonomous vehicles are transport systems capable of navigating from one location to another in 'autopilot' mode, utilizing various in-vehicle technologies and sensors such as adaptive cruise control, active steering, anti-lock braking systems, GPS navigation, lasers, and radar. These vehicles rely on artificial intelligence to operate safely and detect potential accidents or obstacles. For instance, in December 2023, a report by the Victoria Transport Policy Institute, a Canada-based research organization, projected that half of new vehicles could be autonomous by 2045, with half of the overall vehicle fleet becoming autonomous by 2060. Thus, the growing demand for autonomous vehicles will fuel the expansion of artificial intelligence in the transportation sector.

Increasing urbanization is anticipated to drive the growth of artificial intelligence in the transportation market. Urbanization refers to the transition of rural areas into urban settings due to economic growth and industrialization. Artificial intelligence plays a crucial role in optimizing transportation in urban landscapes, enabling smarter traffic management, predictive maintenance, and the use of autonomous vehicles, thereby enhancing efficiency and reducing traffic congestion. As per the World Bank Group's report in April 2023, over half of the world's population currently resides in urban areas, and by 2045, this urban population is predicted to reach 6 billion, marking a 1. 5 times increase. Consequently, the rise in urbanization acts as a catalyst for artificial intelligence adoption in transportation.

Technological advancements stand out as a prominent trend fueling the artificial intelligence in the transportation market. Key market players are concentrating on innovating new products to fortify their market positions. For instance, in January 2022, Qualcomm, a US-based semiconductor manufacturer, introduced Snapdragon Ride. This technology aims to simplify autonomous driving and Advanced Driver Assistance Systems (ADAS) by integrating high-performance, energy-efficient hardware, artificial intelligence (AI) technologies, and an autonomous driving stack. Snapdragon Ride offers comprehensive tools for building deep neural networks (deep learning), resulting in a cost-effective, high-performance system.

Major players in the artificial intelligence in transportation sector are rolling out AI tools like the Dynamic Pricing Engine to tackle logistics industry challenges. This tool utilizes multiple variables like transportation modes, equipment, demand, and market competition to generate price ranges for logistics services. For instance, Imaginnovate, a US-based software firm, introduced the Dynamic Pricing Engine in September 2023. This AI tool automates pricing strategies in transportation and logistics, enabling companies to set competitive yet profitable prices. It considers factors such as transportation types, equipment, demand, and competition to optimize revenue while ensuring customer satisfaction.

In March 2024, Hayden AI, a US-based vision AI and spatial analytics company, announced a partnership with Snapper Services, the developers of the Mosaiq Transit Intelligence Suite, to enhance data analysis capabilities for public transportation providers. This collaboration combines Hayden AI's mobile perception platform, which is used on buses for transit zone enforcement, with Snapper's advanced analytics platform, Mosaiq Insights. The aim is to provide transit agencies with valuable insights by leveraging both new and existing data sources. Snapper Services, based in New Zealand, specializes in developing intelligent transportation solutions.

Major companies operating in the artificial intelligence in transportation market include The Volvo Group, Mercedes-Benz Group AG, Scania AB, Peloton Interactive Inc., Valeo SA, Xevo Inc., Nvidia Corporation, Intel Corporation, Robert Bosch GmbH, Continental AG, Microsoft Corporation, International Business Machines Corp, Magna International Inc., ZF Friedrichshafen AG, Alphabet Inc., Daimler AG, General Motors Company, Aptiv plc, Denso Corporation, Xilinx Inc., TomTom NV, Harman International Industries Inc., Nauto Inc., FiveAI Inc., Waymo LLC, Uber Technologies Inc., Tesla Inc., Mobileye NV, Baidu Inc., AutoX Inc., Ponyai Inc., TuSimple Inc., Aurora Innovation Inc., Embark Trucks Inc., Plusai Inc.

North America was the largest region in the artificial intelligence in transportation market in 2024. Asia-Pacific is expected to be the fastest growing region in the forecast period. The regions covered in the artificial intelligence in transportation market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa

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

Artificial Intelligence in transportation market includes revenues earned by entities by road traffic management systems, unmanned aircraft systems, automation of train operation (ATO), automatic identification systems (AIS) for shipping and autonomous navigation. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included.

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.

Artificial Intelligence 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 artificial intelligence 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 artificial intelligence 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 artificial intelligence 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 Offering: Hardware; Software
  • 2) By Machine Learning Technology: Deep Learning; Computer Vision; Context Awareness; Natural Language Processing
  • 3) By Process: Signal Recognition; Object Recognition; Data Mining
  • 4) By Application: Semi Autonomous Truck; Truck Platooning; Predictive Maintenance; Precision And Mapping; Autonomous Truck; Other Applications
  • Subsegments:
  • 1) By Hardware: Sensors; Edge Computing Devices; Control Units And Processors; Communication Devices
  • 2) By Software: AI Algorithms For Route Optimization; Autonomous Vehicle Software; Fleet Management Software; Predictive Maintenance Solutions; Traffic Management Systems
  • Companies Mentioned: The Volvo Group; Mercedes-Benz Group AG; Scania AB; Peloton Interactive Inc.; Valeo SA; Xevo Inc.; Nvidia Corporation; Intel Corporation; Robert Bosch GmbH; Continental AG; Microsoft Corporation; International Business Machines Corp; Magna International Inc.; ZF Friedrichshafen AG; Alphabet Inc.; Daimler AG; General Motors Company; Aptiv plc; Denso Corporation; Xilinx Inc.; TomTom NV; Harman International Industries Inc.; Nauto Inc.; FiveAI Inc.; Waymo LLC; Uber Technologies Inc.; Tesla Inc.; Mobileye NV; Baidu Inc.; AutoX Inc.; Ponyai Inc.; TuSimple Inc.; Aurora Innovation Inc.; Embark Trucks 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. Artificial Intelligence in Transportation Market Characteristics

3. Artificial Intelligence in Transportation Market Trends And Strategies

4. Artificial Intelligence 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 Artificial Intelligence in Transportation Growth Analysis And Strategic Analysis Framework

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

6. Artificial Intelligence in Transportation Market Segmentation

  • 6.1. Global Artificial Intelligence in Transportation Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Hardware
  • Software
  • 6.2. Global Artificial Intelligence in Transportation Market, Segmentation By Machine Learning Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Deep Learning
  • Conputer Vision
  • Context Awareness
  • Natural Language Processing
  • 6.3. Global Artificial Intelligence in Transportation Market, Segmentation By Process, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Signal Recognition
  • Object Recognition
  • Data Mining
  • 6.4. Global Artificial Intelligence 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
  • Other Applications
  • 6.5. Global Artificial Intelligence in Transportation Market, Sub-Segmentation Of Hardware, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Sensors
  • Edge Computing Devices
  • Control Units And Processors
  • Communication Devices
  • 6.6. Global Artificial Intelligence in Transportation Market, Sub-Segmentation Of Software, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • AI Algorithms For Route Optimization
  • Autonomous Vehicle Software
  • Fleet Management Software
  • Predictive Maintenance Solutions
  • Traffic Management Systems

7. Artificial Intelligence in Transportation Market Regional And Country Analysis

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

8. Asia-Pacific Artificial Intelligence in Transportation Market

  • 8.1. Asia-Pacific Artificial Intelligence 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 Artificial Intelligence in Transportation Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 8.3. Asia-Pacific Artificial Intelligence in Transportation Market, Segmentation By Machine Learning Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 8.4. Asia-Pacific Artificial Intelligence in Transportation Market, Segmentation By Process, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

9. China Artificial Intelligence in Transportation Market

  • 9.1. China Artificial Intelligence in Transportation Market Overview
  • 9.2. China Artificial Intelligence in Transportation Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
  • 9.3. China Artificial Intelligence in Transportation Market, Segmentation By Machine Learning Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
  • 9.4. China Artificial Intelligence in Transportation Market, Segmentation By Process, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion

10. India Artificial Intelligence in Transportation Market

  • 10.1. India Artificial Intelligence in Transportation Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 10.2. India Artificial Intelligence in Transportation Market, Segmentation By Machine Learning Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 10.3. India Artificial Intelligence in Transportation Market, Segmentation By Process, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

11. Japan Artificial Intelligence in Transportation Market

  • 11.1. Japan Artificial Intelligence in Transportation Market Overview
  • 11.2. Japan Artificial Intelligence in Transportation Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 11.3. Japan Artificial Intelligence in Transportation Market, Segmentation By Machine Learning Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 11.4. Japan Artificial Intelligence in Transportation Market, Segmentation By Process, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

12. Australia Artificial Intelligence in Transportation Market

  • 12.1. Australia Artificial Intelligence in Transportation Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 12.2. Australia Artificial Intelligence in Transportation Market, Segmentation By Machine Learning Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 12.3. Australia Artificial Intelligence in Transportation Market, Segmentation By Process, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

13. Indonesia Artificial Intelligence in Transportation Market

  • 13.1. Indonesia Artificial Intelligence in Transportation Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 13.2. Indonesia Artificial Intelligence in Transportation Market, Segmentation By Machine Learning Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 13.3. Indonesia Artificial Intelligence in Transportation Market, Segmentation By Process, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

14. South Korea Artificial Intelligence in Transportation Market

  • 14.1. South Korea Artificial Intelligence in Transportation Market Overview
  • 14.2. South Korea Artificial Intelligence in Transportation Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 14.3. South Korea Artificial Intelligence in Transportation Market, Segmentation By Machine Learning Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 14.4. South Korea Artificial Intelligence in Transportation Market, Segmentation By Process, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

15. Western Europe Artificial Intelligence in Transportation Market

  • 15.1. Western Europe Artificial Intelligence in Transportation Market Overview
  • 15.2. Western Europe Artificial Intelligence in Transportation Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 15.3. Western Europe Artificial Intelligence in Transportation Market, Segmentation By Machine Learning Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 15.4. Western Europe Artificial Intelligence in Transportation Market, Segmentation By Process, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

16. UK Artificial Intelligence in Transportation Market

  • 16.1. UK Artificial Intelligence in Transportation Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 16.2. UK Artificial Intelligence in Transportation Market, Segmentation By Machine Learning Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 16.3. UK Artificial Intelligence in Transportation Market, Segmentation By Process, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

17. Germany Artificial Intelligence in Transportation Market

  • 17.1. Germany Artificial Intelligence in Transportation Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 17.2. Germany Artificial Intelligence in Transportation Market, Segmentation By Machine Learning Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 17.3. Germany Artificial Intelligence in Transportation Market, Segmentation By Process, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

18. France Artificial Intelligence in Transportation Market

  • 18.1. France Artificial Intelligence in Transportation Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 18.2. France Artificial Intelligence in Transportation Market, Segmentation By Machine Learning Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 18.3. France Artificial Intelligence in Transportation Market, Segmentation By Process, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

19. Italy Artificial Intelligence in Transportation Market

  • 19.1. Italy Artificial Intelligence in Transportation Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 19.2. Italy Artificial Intelligence in Transportation Market, Segmentation By Machine Learning Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 19.3. Italy Artificial Intelligence in Transportation Market, Segmentation By Process, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

20. Spain Artificial Intelligence in Transportation Market

  • 20.1. Spain Artificial Intelligence in Transportation Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 20.2. Spain Artificial Intelligence in Transportation Market, Segmentation By Machine Learning Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 20.3. Spain Artificial Intelligence in Transportation Market, Segmentation By Process, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

21. Eastern Europe Artificial Intelligence in Transportation Market

  • 21.1. Eastern Europe Artificial Intelligence in Transportation Market Overview
  • 21.2. Eastern Europe Artificial Intelligence in Transportation Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 21.3. Eastern Europe Artificial Intelligence in Transportation Market, Segmentation By Machine Learning Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 21.4. Eastern Europe Artificial Intelligence in Transportation Market, Segmentation By Process, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

22. Russia Artificial Intelligence in Transportation Market

  • 22.1. Russia Artificial Intelligence in Transportation Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 22.2. Russia Artificial Intelligence in Transportation Market, Segmentation By Machine Learning Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 22.3. Russia Artificial Intelligence in Transportation Market, Segmentation By Process, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

23. North America Artificial Intelligence in Transportation Market

  • 23.1. North America Artificial Intelligence in Transportation Market Overview
  • 23.2. North America Artificial Intelligence in Transportation Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 23.3. North America Artificial Intelligence in Transportation Market, Segmentation By Machine Learning Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 23.4. North America Artificial Intelligence in Transportation Market, Segmentation By Process, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

24. USA Artificial Intelligence in Transportation Market

  • 24.1. USA Artificial Intelligence in Transportation Market Overview
  • 24.2. USA Artificial Intelligence in Transportation Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 24.3. USA Artificial Intelligence in Transportation Market, Segmentation By Machine Learning Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 24.4. USA Artificial Intelligence in Transportation Market, Segmentation By Process, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

25. Canada Artificial Intelligence in Transportation Market

  • 25.1. Canada Artificial Intelligence in Transportation Market Overview
  • 25.2. Canada Artificial Intelligence in Transportation Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 25.3. Canada Artificial Intelligence in Transportation Market, Segmentation By Machine Learning Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 25.4. Canada Artificial Intelligence in Transportation Market, Segmentation By Process, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

26. South America Artificial Intelligence in Transportation Market

  • 26.1. South America Artificial Intelligence in Transportation Market Overview
  • 26.2. South America Artificial Intelligence in Transportation Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 26.3. South America Artificial Intelligence in Transportation Market, Segmentation By Machine Learning Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 26.4. South America Artificial Intelligence in Transportation Market, Segmentation By Process, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

27. Brazil Artificial Intelligence in Transportation Market

  • 27.1. Brazil Artificial Intelligence in Transportation Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 27.2. Brazil Artificial Intelligence in Transportation Market, Segmentation By Machine Learning Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 27.3. Brazil Artificial Intelligence in Transportation Market, Segmentation By Process, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

28. Middle East Artificial Intelligence in Transportation Market

  • 28.1. Middle East Artificial Intelligence in Transportation Market Overview
  • 28.2. Middle East Artificial Intelligence in Transportation Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 28.3. Middle East Artificial Intelligence in Transportation Market, Segmentation By Machine Learning Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 28.4. Middle East Artificial Intelligence in Transportation Market, Segmentation By Process, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

29. Africa Artificial Intelligence in Transportation Market

  • 29.1. Africa Artificial Intelligence in Transportation Market Overview
  • 29.2. Africa Artificial Intelligence in Transportation Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 29.3. Africa Artificial Intelligence in Transportation Market, Segmentation By Machine Learning Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 29.4. Africa Artificial Intelligence in Transportation Market, Segmentation By Process, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

30. Artificial Intelligence in Transportation Market Competitive Landscape And Company Profiles

  • 30.1. Artificial Intelligence in Transportation Market Competitive Landscape
  • 30.2. Artificial Intelligence in Transportation Market Company Profiles
    • 30.2.1. The Volvo Group 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. Scania AB Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.4. Peloton Interactive Inc. Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.5. Valeo SA Overview, Products and Services, Strategy and Financial Analysis

31. Artificial Intelligence in Transportation Market Other Major And Innovative Companies

  • 31.1. Xevo Inc.
  • 31.2. Nvidia Corporation
  • 31.3. Intel Corporation
  • 31.4. Robert Bosch GmbH
  • 31.5. Continental AG
  • 31.6. Microsoft Corporation
  • 31.7. International Business Machines Corp
  • 31.8. Magna International Inc.
  • 31.9. ZF Friedrichshafen AG
  • 31.10. Alphabet Inc.
  • 31.11. Daimler AG
  • 31.12. General Motors Company
  • 31.13. Aptiv plc
  • 31.14. Denso Corporation
  • 31.15. Xilinx Inc.

32. Global Artificial Intelligence in Transportation Market Competitive Benchmarking And Dashboard

33. Key Mergers And Acquisitions In The Artificial Intelligence in Transportation Market

34. Recent Developments In The Artificial Intelligence in Transportation Market

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

  • 35.1 Artificial Intelligence in Transportation Market In 2029 - Countries Offering Most New Opportunities
  • 35.2 Artificial Intelligence in Transportation Market In 2029 - Segments Offering Most New Opportunities
  • 35.3 Artificial Intelligence 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