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市場調查報告書
商品編碼
1784184

2025年全球交通運輸人工智慧市場報告

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個工作天內

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簡介目錄

預計未來幾年交通運輸領域的人工智慧市場將呈指數級成長，到 2029 年將達到 90.2 億美元，複合年成長率為 20.6%。預測期內的成長動力包括：人工智慧應用在供應鏈和物流中的擴展以實現高效營運、人工智慧在自動駕駛汽車開發中的應用激增、人工智慧在多式聯運規劃和協調中的整合、人工智慧在即時路線最佳化和交通預測中的應用日益增多，以及公共交通系統對人工智慧解決方案日益成長的需求。預測期內的主要趨勢包括開發人工智慧驅動的即服務(MAAS) 平台、強調可解釋的人工智慧以提高決策流程的透明度、使用人工智慧實現個人化和自適應車載體驗、針對特定交通方式和產業客製化人工智慧解決方案，以及人工智慧開發人員和交通相關人員之間的合作。

未來五年的預測成長率為20.6%，較我們先前對該市場的預測略有下降0.3%。這一下降主要源自於美國與其他國家之間關稅的影響。關稅導致感測器和LiDAR技術成本上升，這可能會阻礙人工智慧在交通運輸系統中的整合，並延緩自動駕駛汽車和智慧交通系統的部署。由於互惠關稅以及不斷升級的貿易緊張局勢和限制對全球經濟和貿易造成的負面影響，其影響也將更加廣泛。

自動駕駛汽車日益成長的需求預計將繼續推動人工智慧在交通運輸市場的成長。自動駕駛汽車是一種利用各種車載技術和感測器（例如主動式車距維持定速系統、主動轉向、防鎖死煞車系統、GPS導航、雷射和雷達）以「自動駕駛」模式從一個地點行駛到另一個地點的交通系統。這些車輛依靠人工智慧實現安全駕駛並檢測潛在事故和障礙物。例如，加拿大研究機構維多利亞交通政策研究所2023年12月的報告預測，到2045年，一半的新車將自動駕駛，到2060年，一半的車輛將自動駕駛。因此，日益成長的自動駕駛汽車需求可能會推動人工智慧在交通運輸領域的擴張。

目錄

第1章執行摘要

第2章 市場特徵

第3章 市場趨勢與策略

第4章 市場：宏觀經濟情景，包括利率、通膨、地緣政治、貿易戰和關稅，以及新冠疫情和復甦對市場的影響

第5章 全球成長分析與策略分析框架

  • 全球交通運輸中的人工智慧：PESTEL 分析（政治、社會、技術、環境、法律因素、促進因素和限制因素）
  • 最終用途產業分析
  • 全球交通運輸人工智慧市場：成長率分析
  • 全球交通運輸人工智慧市場表現：規模與成長，2019-2024
  • 全球交通運輸人工智慧市場預測：規模與成長，2024-2029 年，2034 年
  • 交通運輸中的人工智慧：全球總潛在市場（TAM）

第6章市場區隔

  • 全球交通運輸領域人工智慧市場：依產品、現況及預測，2019-2024 年、2024-2029 年、2034 年
  • 硬體
  • 軟體
  • 全球交通運輸人工智慧市場：機器學習技術、效能與預測，2019-2024 年、2024-2029 年、2034 年
  • 深度學習
  • 電腦視覺
  • 情境感知
  • 自然語言處理
  • 全球交通運輸人工智慧市場：依流程、實際結果及預測，2019-2024 年、2024-2029 年、2034 年
  • 訊號識別
  • 物體辨識
  • 資料探勘
  • 全球交通運輸人工智慧市場：應用、績效及預測（2019-2024 年、2024-2029 年及 2034 年）
  • 半自動卡車
  • 卡車排
  • 預測性維護
  • 準確性和映射
  • 自動駕駛卡車
  • 其他用途
  • 全球交通運輸人工智慧市場，按硬體類型、效能和預測細分，2019-2024 年、2024-2029 年、2034 年
  • 感應器
  • 邊緣運算設備
  • 控制單元和處理器
  • 通訊設備
  • 全球交通運輸市場人工智慧、按軟體類型細分、實際結果及預測（2019-2024 年、2024-2029 年及 2034 年）
  • 用於路線最佳化的AI演算法
  • 自動駕駛汽車軟體
  • 車隊管理軟體
  • 預測性維護解決方案
  • 交通管理系統

第7章 區域和國家分析

  • 全球交通運輸人工智慧市場：按地區、績效及預測，2019-2024 年、2024-2029 年、2034 年
  • 全球交通運輸人工智慧市場：國家、績效及預測（2019-2024 年、2024-2029 年及 2034 年）

第8章 亞太市場

第9章：中國市場

第10章 印度市場

第11章 日本市場

第12章：澳洲市場

第13章 印尼市場

第14章 韓國市場

第15章：西歐市場

第16章英國市場

第17章：德國市場

第18章：法國市場

第19章：義大利市場

第20章：西班牙市場

第21章 東歐市場

第22章 俄羅斯市場

第23章 北美市場

第24章美國市場

第25章：加拿大市場

第26章 南美洲市場

第27章：巴西市場

第28章 中東市場

第29章：非洲市場

第30章：競爭格局與公司概況

  • 交通運輸中的人工智慧：競爭格局
  • 交通運輸領域的人工智慧市場：公司簡介
    • 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：其他領先和創新企業

  • 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 章全球市場競爭基準化分析與儀表板

第33章 重大併購

第34章近期市場趨勢

第 35 章：高潛力市場國家、細分市場與策略

  • 2029年交通運輸市場中的人工智慧：提供新機會的國家
  • 2029年交通運輸市場中的人工智慧：細分領域將帶來新機會
  • 2029年交通運輸市場中的人工智慧：成長策略
    • 基於市場趨勢的策略
    • 競爭對手的策略

第36章 附錄

簡介目錄
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