2025 年交通運輸領域人工智慧全球市場報告

預計未來幾年交通運輸領域人工智慧的市場規模將呈指數級成長。到 2029 年，這一數字將成長至 93.1 億美元，複合年成長率為 20.4%。預測期內的成長可歸因於電動和聯網汽車的興起、人工智慧在城市交通中的融入、對永續智慧城市的關注、增強的安全功能以及遠端控制和監控。預測期內的主要趨勢包括人工智慧演算法和機器學習的進步、政府措施和法規、自動駕駛汽車的進步、人工智慧預測性維護和多模態整合。

預計未來幾年汽車數量的增加將推動交通運輸市場人工智慧的成長。車輛數量的增加與多種因素有關，包括人口成長、經濟發展和公共交通基礎設施的缺陷。透過分析即時交通資料，人工智慧可以透過調整號誌時序和車道配置來最佳化交通流量、緩解交通堵塞並減少行程時間，從而加強交通管理。例如，根據加拿大國家統計機構加拿大統計局2024年6月發布的報告，2022年該國註冊機動車總數將達2,630萬輛，較2021年僅成長0.3%。因此，車輛數量的成長正刺激交通領域人工智慧市場的擴張。

道路交通事故發生率的上升也有望刺激交通運輸市場人工智慧的成長。交通事故是指在公共道路上發生的涉及至少一輛車輛並導致至少一人受傷或死亡的事故。交通運輸領域正在部署人工智慧來管理交通堵塞，增強交通流量，並最大限度地減少事故發生的可能性。例如，美國公路交通安全管理局預計，2022年上半年美國道路交通死亡人數將為20,175人，較2021年增加0.5%。因此，道路交通事故數量的增加是人工智慧在交通運輸領域引入的驅動力。

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、新冠疫情以及復甦對市場的影響

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、限制因素）
• 最終用途產業分析
• 全球交通運輸市場人工智慧：成長率分析
• 全球交通運輸領域人工智慧市場表現：規模與成長，2019 年至 2024 年
• 全球交通運輸人工智慧市場預測：2024-2029 年及 2034 年規模與成長
• 全球交通運輸領域人工智慧總潛在市場 (TAM)

第6章 市場細分

• 全球交通運輸市場人工智慧：按組件、性能和預測，2019-2024 年、2024-2029 年、2034 年
• 硬體
• 軟體
• 全球交通運輸市場人工智慧：按流程、表現和預測，2019-2024 年、2024-2029 年、2034 年
• 訊號識別
• 物體辨識
• 資料探勘
• 全球交通運輸市場人工智慧技術類型、表現及預測，2019-2024 年、2024-2029 年、2034 年
• 自然語言處理
• 深度學習
• 電腦視覺
• 情境感知
• 2019 年至 2024 年、2024 年至 2029 年預測、2034 年預測，全球運輸領域人工智慧市場的應用、表現與預測
• 半自動卡車
• 卡車車隊
• 預測性維護
• 精度和映射
• 自動駕駛卡車
• 人機介面
• 其他用途
• 全球交通運輸市場人工智慧、硬體細分、類型、效能和預測，2019-2024 年、2024-2029 年、2034 年
• 感應器
• 相機
• 騎士
• 雷達
• GPS 裝置
• 全球交通運輸市場人工智慧、軟體細分、類型、效能和預測，2019-2024 年、2024-2029 年、2034 年
• 交通管理軟體
• 自動駕駛軟體
• 路線規劃軟體
• 車隊管理軟體
• 預測分析軟體

第7章 區域和國家分析

• 全球交通運輸市場人工智慧：按地區、表現和預測，2019-2024 年、2024-2029 年、2034 年
• 全球交通運輸市場人工智慧：按國家、表現和預測，2019-2024 年、2024-2029 年、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

• 交通運輸領域的人工智慧：競爭格局
• 交通運輸市場中的人工智慧：公司簡介
  • Volvo AB Overview, Products and Services, Strategy and Financial Analysis
  • Mercedes-Benz Group AG Overview, Products and Services, Strategy and Financial Analysis
  • Alphabet Inc. Overview, Products and Services, Strategy and Financial Analysis
  • Intel Corporation Overview, Products and Services, Strategy and Financial Analysis
  • NVIDIA Corporation Overview, Products and Services, Strategy and Financial Analysis

第31章 其他大型創新企業

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

第 32 章 全球市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 高市場潛力國家、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：提供新機會的細分市場
• 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

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

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

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

The AI in transportation market size has grown rapidly in recent years. It will grow from$3.78 billion in 2024 to $4.43 billion in 2025 at a compound annual growth rate (CAGR) of 17.4%. The growth in the historic period can be attributed to traffic management optimization, autonomous vehicles development, demand for intelligent public transportation, predictive maintenance for vehicles, rise in smart infrastructure

The AI in transportation market size is expected to see exponential growth in the next few years. It will grow to $9.31 billion in 2029 at a compound annual growth rate (CAGR) of 20.4%. The growth in the forecast period can be attributed to expansion of electric and connected vehicles, integration of AI in urban mobility, focus on sustainable and smart cities, enhanced safety features, remote operations and monitoring. Major trends in the forecast period include advancements in AI algorithms and machine learning, government initiatives and regulations, autonomous vehicles advancements, predictive maintenance with ai, multimodal integration.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

The forecasts are made after considering the major factors currently impacting the market. These include the 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 Components: Hardware; Software
• 2) By Process: Signal Recognition; Object Recognition; Data Mining
• 3) By Technology Type: Natural Language Processing; Deep Learning; Computer Vision; Context-Awareness
• 4) By Application: Semi-Autonomous Truck; Truck Platooning; Predictive Maintenance; Precision And Mapping; Autonomous Truck; Machine Human Interface; Other Applications
• Subsegments:
• 1) By Hardware: Sensors; Cameras; LiDAR; Radar; GPS Devices
• 2) By Software: Traffic Management Software; Autonomous Driving Software; Route Planning Software; Fleet Management Software; Predictive Analytics Software
• Companies Mentioned: Volvo AB; Mercedes-Benz Group AG; Alphabet Inc.; Intel Corporation; NVIDIA Corporation
• Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Russia; South Korea; UK; USA; Canada; Italy; Spain
• Regions: Asia-Pacific; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
• Time series: Five years historic and ten years forecast.
• Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita,
• Data segmentations: country and regional historic and forecast data, market share of competitors, market segments.
• Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
• Delivery format: PDF, Word and Excel Data Dashboard.

Table of Contents

1. Executive Summary

2. AI in Transportation Market Characteristics

3. AI in Transportation Market Trends And Strategies

4. AI in Transportation Market - Macro Economic Scenario including the impact of Interest Rates, Inflation, Geopolitics and Covid And Recovery on the Market

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

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

6. AI in Transportation Market Segmentation

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

7. AI in Transportation Market Regional And Country Analysis

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

8. Asia-Pacific AI in Transportation Market

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

9. China AI in Transportation Market

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

10. India AI in Transportation Market

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

11. Japan AI in Transportation Market

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

12. Australia AI in Transportation Market

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

13. Indonesia AI in Transportation Market

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

14. South Korea AI in Transportation Market

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

15. Western Europe AI in Transportation Market

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

16. UK AI in Transportation Market

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

17. Germany AI in Transportation Market

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

18. France AI in Transportation Market

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

19. Italy AI in Transportation Market

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

20. Spain AI in Transportation Market

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

21. Eastern Europe AI in Transportation Market

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

22. Russia AI in Transportation Market

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

23. North America AI in Transportation Market

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

24. USA AI in Transportation Market

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

25. Canada AI in Transportation Market

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

26. South America AI in Transportation Market

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

27. Brazil AI in Transportation Market

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

28. Middle East AI in Transportation Market

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

29. Africa AI in Transportation Market

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

30. AI in Transportation Market Competitive Landscape And Company Profiles

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

31. AI in Transportation Market Other Major And Innovative Companies

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

32. Global AI in Transportation Market Competitive Benchmarking And Dashboard

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

34. Recent Developments In The AI in Transportation Market

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

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

36. Appendix

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