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市场调查报告书
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1641525

2025 年交通运输领域人工智慧全球市场报告

Artificial Intelligence in Transportation Global Market Report 2025
出版日期: | 出版商: The Business Research Company | 英文 200 Pages | 商品交期: 2-10个工作天内

价格
简介目录

未来几年，交通运输领域人工智慧的市场规模预计将呈指数级增长。到 2029 年，这一数字将成长至 91.7 亿美元，复合年增长率为 20.9%。预测期内的成长归因于人工智慧在供应链和物流中的应用不断扩大以实现高效运营、人工智慧在自动驾驶汽车开发中的应用激增、人工智慧在多交通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使用不断增加，以及公共交通系统对人工智慧驱动解决方案的需求不断增长。预测期内的关键趋势包括开发支援人工智慧的行动即服务 (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的车载体验、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。

预计自动驾驶汽车的需求不断增长将继续推动交通市场人工智慧的成长。自动驾驶汽车是一种可以在「自动驾驶」模式下从一个位置导航到另一个位置的交通系统，利用各种车载技术和感测器，例如主动车距控制巡航系统、主动转向、防锁死煞车系统、GPS 导航、雷射和雷达。这些汽车依靠人工智慧安全驾驶并检测潜在的事故和障碍物。例如，加拿大研究机构维多利亚交通政策实验室 2023 年 12 月的报告预测，到 2045 年，一半的新车将是自动驾驶汽车，到 2060 年，一半的车辆将是自动驾驶汽车。因此，对自动驾驶汽车的不断增长的需求可能会刺激交通运输领域人工智慧的扩张。

都市化的加速预计将推动交通市场人工智慧的成长。都市化是指由于经济成长和工业化，农村地区向城市环境的转变。人工智慧将在优化城市交通方面发挥关键作用，实现更智慧的交通管理、预测性维护和自动驾驶汽车的使用，以提高效率并减少交通拥堵。根据世界银行集团2023年4月的报告，目前全球一半以上的人口居住在都市区，到2045年，预计城市人口将增加1.5倍，达到60亿人。因此，都市化的加速将成为人工智慧在交通运输领域引进的催化剂。

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、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

  • 全球交通人工智慧PESTEL分析（政治、社会、科技、环境、法律、驱动因素、阻碍因素）
  • 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 年至 2024 年
  • 全球交通运输人工智慧市场预测：规模与成长，2024-2029 年，2034 年
  • 全球交通运输领域人工智慧总潜在市场 (TAM)

第六章 市场细分

  • 全球交通运输市场人工智慧产品、表现及预测，2019-2024、2024-2029、2034
  • 硬体
  • 软体
  • 全球交通运输人工智慧市场（按机器学习技术、效能和预测），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
  • 全球交通运输市场人工智慧流程、效能与预测，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的应用、表现与预测，2019-2024 年、2024-2029 年、2034 年
  • 半自动卡车
  • 卡车车队
  • 预测性维护
  • 精度和映射
  • 自动驾驶卡车
  • 其他的
  • 全球交通运输人工智慧市场、硬体细分、效能及按类型预测，2019-2024、2024-2029、2034
  • 感应器
  • 边缘运算设备
  • 控制单元和处理器
  • 通讯设备
  • 全球交通运输人工智慧市场、软体细分、效能和预测（按类型），2019-2024 年、2024-2029 年、2034 年
  • 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各地区、表现及预测，2019-2024、2024-2029、2034
  • 全球交通运输人工智慧市场（按国家/地区划分）、表现和预测，2019-2024 年、2024-2029 年、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 17 章 德国市场

第 18 章 法国市场

第 19 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
  • 交通运输市场中的人工智慧：公司简介
    • The Volvo Group
    • Mercedes-Benz Group AG
    • Scania AB
    • Peloton Interactive Inc.
    • Valeo SA

第31章 其他大型创新企业

  • 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：市场潜力大的国家与策略

  • 2029 年交通运输市场中的人工智慧 - 提供最多新机会的国家
  • 2029 年交通运输市场中的人工智慧 - 提供最多新机会的细分市场
  • 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: r21024

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.

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 $4.29 billion in 2025 at a compound annual growth rate (CAGR) of 18.2%. 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 $9.17 billion in 2029 at a compound annual growth rate (CAGR) of 20.9%. 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 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? 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 Russia-Ukraine war, rising inflation, higher interest rates, and the legacy of the COVID-19 pandemic.

  • 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. It covers the growth trajectory of COVID-19 for all regions, key developed countries and major emerging markets.
  • 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
  • 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 And Covid And Recovery On The Market

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