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市场调查报告书
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1995948

2026年全球交通运输人工智慧市场报告

Artificial Intelligence in Transportation Global Market Report 2026
出版日期: | 出版商: The Business Research Company | 英文 250 Pages | 商品交期: 2-10个工作天内

价格
简介目录

近年来，交通运输领域的人工智慧（AI）市场发展迅速。预计该市场规模将从2025年的42.7亿美元成长到2026年的51.6亿美元，复合年增长率（CAGR）达20.8%。成长要素包括都市区交通拥堵加剧、联网汽车基础设施的扩展、物流领域数据分析应用的增加、智慧型运输系统（ITS）投资的加大以及人工智慧在车辆营运中的早期应用。

预计未来几年，交通运输领域的人工智慧 (AI) 市场将实现显着成长，到 2030 年市场规模将达到 108 亿美元，复合年增长率 (CAGR) 为 20.3%。预测期内的成长预计将受到以下因素的推动：自动驾驶交通解决方案的普及、智慧运输平台投资的增加、对即时交通优化需求的成长、人工智慧驱动的公共交通系统的扩展以及对物流效率日益增长的关注。预测期内的关键趋势包括：基于人工智慧的交通管理系统的广泛应用、预测性维护平台的更多部署、人工智慧驱动的路线优化工具的更多使用、半自动卡车运营的扩展以及实时交通分析的更深入整合。

预计未来几年，对自动驾驶汽车日益增长的需求将推动人工智慧在交通运输市场的发展。自动驾驶汽车是一种能够在「自动驾驶」模式下自主行驶的交通工具，它利用车载技术和感测器，例如主动式车距维持定速系统、主动转向、防锁死煞车系统、GPS导航、雷射雷达和雷达，从起点行驶到指定目的地。人工智慧使自动驾驶汽车能够管理其驾驶功能，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研究所于2023年12月发布的报告预测，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，对自动驾驶汽车日益增长的需求正在推动人工智慧在交通运输市场的发展。

在交通运输人工智慧市场中，主要企业正致力于开发先进的定价技术，包括人工智慧驱动的动态定价模型，以优化收入、提高定价准确性并增强其整个物流运营的竞争力。基于人工智慧的动态定价模型利用人工智慧分析即时和历史数据，包括需求趋势、资产利用率、市场状况和竞争对手基准，从而持续为运输服务提案最优价格区间。例如，2023年9月，美国软体公司Imaginnovate发布了“动态定价引擎”，这是一款旨在实现运输和物流行业定价自动化的人工智慧解决方案。该工具透过评估运输方式、设施、需求水准和竞争格局等因素，帮助企业制定具有竞争力和盈利的价格，在优化收入的同时，确保客户满意度。

目录

第一章：执行摘要

第二章 市场特征

  • 市场定义和范围
  • 市场区隔
  • 主要产品和服务概述
  • 全球交通运输领域人工智慧市场：吸引力评分及分析
  • 成长潜力分析、竞争评估、策略适宜性评估、风险状况评估

第三章 市场供应链分析

  • 供应链与生态系概述
  • 清单：主要原料、资源和供应商
  • 主要经销商和通路合作伙伴名单
  • 主要最终用户列表

第四章：全球市场趋势与策略

  • 关键科技与未来趋势
    • 人工智慧（AI）和自主人工智慧
    • 自主系统、机器人、智慧运输
    • 物联网、智慧基础设施、互联生态系统
    • 数位化、云端运算、巨量资料、网路安全
    • 工业4.0和智慧製造
  • 主要趋势
    • 人工智慧交通管理系统的扩展
    • 扩大预测性维护平台的应用
    • 人工智慧驱动的路线优化工具的广泛应用
    • 扩大半自动卡车运营
    • 增强即时运输分析的集成

第五章 终端用户产业市场分析

  • 物流和运输公司
  • 车辆操作员
  • 公共运输
  • 智慧城市营运商
  • 汽车製造商

第六章 市场：宏观经济情景，包括利率、通货膨胀、地缘政治、贸易战和关税的影响、关税战和贸易保护主义对供应链的影响，以及 COVID-19 疫情对市场的影响。

第七章：全球策略分析架构、目前市场规模、市场对比及成长率分析

  • 全球交通运输领域人工智慧市场：PESTEL 分析（政治、社会、技术、环境、法律因素、驱动因素与限制因素）
  • 全球交通运输领域人工智慧市场规模、对比及成长率分析
  • 全球人工智慧在交通运输领域的市场表现：规模与成长，2020-2025年
  • 全球交通运输领域人工智慧市场预测：规模与成长，2025-2030年及2035年预测

第八章：全球市场总规模（TAM）

第九章 市场细分

  • 报价
  • 硬体、软体
  • 透过机器学习技术
  • 深度学习、电脑视觉、情境辨识、自然语言处理
  • 透过流程
  • 讯号识别、目标识别、资料探勘
  • 透过使用
  • 半自动卡车、卡车编队行驶、预测性维护、精确测量和测绘、自动驾驶卡车及其他应用。
  • 按类型细分：硬体
  • 感测器、边缘运算设备、控制单元和处理器、通讯设备
  • 按类型细分：软体
  • 用于路线优化的AI演算法、自动驾驶车辆软体、车队管理软体、预测性维护解决方案、交通管理系统

第十章 区域与国别分析

  • 全球交通运输领域人工智慧市场：按地区划分，实际数据和预测数据，2020-2025年、2025-2030年、2035年
  • 全球交通运输领域人工智慧市场：按国家划分，实际数据和预测数据，2020-2025年、2025-2030年、2035年

第十一章 亚太市场

第十二章：中国市场

第十三章：印度市场

第十四章：日本市场

第十五章：澳洲市场

第十六章：印尼市场

第十七章：韩国市场

第十八章 台湾市场

第十九章 东南亚市场

第20章 西欧市场

第21章英国市场

第22章：德国市场

第23章：法国市场

第24章：义大利市场

第25章：西班牙市场

第26章：东欧市场

第27章：俄罗斯市场

第28章 北美市场

第29章：美国市场

第三十章：加拿大市场

第31章：南美市场

第32章：巴西市场

第33章 中东市场

第34章：非洲市场

第三十五章 市场监理与投资环境

第三十六章：竞争格局与公司概况

  • 人工智慧在交通运输领域的市场：竞争格局与市场占有率（2024 年）
  • 交通运输领域人工智慧市场：公司估值矩阵
  • 交通运输领域人工智慧市场：公司概况
    • The Volvo Group
    • Mercedes-Benz Group AG
    • Scania AB
    • Peloton Interactive Inc.
    • Valeo SA

第37章 其他大型企业和创新企业

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

第38章：全球市场竞争基准分析与仪錶板

第39章 重大併购

第四十章：具有高市场潜力的国家、细分市场与策略

  • 2030年交通运输领域人工智慧市场：提供新机会的国家
  • 2030年交通运输领域人工智慧市场：新兴细分市场机会
  • 2030年交通运输领域人工智慧市场：成长策略
    • 基于市场趋势的策略
    • 竞争对手的策略

第41章附录

简介目录
Product Code: TS3MAITN01_G26Q1

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.

Tariffs are impacting the artificial intelligence in transportation market by increasing costs of imported sensors, edge computing hardware, processors, and communication devices used in AI-enabled transportation systems. Logistics operators and smart city projects in North America and Europe are most affected due to dependence on imported electronic components, while Asia-Pacific faces pricing pressure on hardware manufacturing. These tariffs are raising deployment costs and delaying infrastructure upgrades. However, they are also encouraging localized hardware production, regional AI software development, and increased adoption of cost-optimized AI transportation platforms.

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 exponentially in recent years. It will grow from $4.27 billion in 2025 to $5.16 billion in 2026 at a compound annual growth rate (CAGR) of 20.8%. The growth in the historic period can be attributed to growth in urban traffic congestion, expansion of connected vehicle infrastructure, increased use of data analytics in logistics, rising investments in intelligent transport systems, early adoption of ai in fleet operations.

The artificial intelligence in transportation market size is expected to see exponential growth in the next few years. It will grow to $10.8 billion in 2030 at a compound annual growth rate (CAGR) of 20.3%. The growth in the forecast period can be attributed to increasing deployment of autonomous transportation solutions, rising investments in smart mobility platforms, growing demand for real-time traffic optimization, expansion of ai-driven public transport systems, increasing focus on logistics efficiency. Major trends in the forecast period include increasing adoption of ai-based traffic management systems, rising deployment of predictive maintenance platforms, growing use of ai-driven route optimization tools, expansion of semi-autonomous truck operations, enhanced integration of real-time transportation analytics.

The increasing demand for autonomous vehicles is expected to drive the growth of artificial intelligence in the transportation market in the coming years. An autonomous vehicle refers to a mode of transport capable of operating independently in an "autopilot" mode, traveling from a starting point to a specified destination using a range of onboard technologies and sensors such as adaptive cruise control, active steering, anti-lock braking systems, GPS navigation, lasers, and radar. Artificial intelligence enables autonomous vehicles to manage driving functions and detect potential accidents or obstacles. For example, in December 2023, according to a report published by the Victoria Transport Policy Institute, a Canada-based research organization, it is estimated that half of all new vehicles could be autonomous by 2045, and half of the total vehicle fleet by 2060. Therefore, the rising demand for autonomous vehicles is driving the growth of artificial intelligence in the transportation market.

Major companies operating in the artificial intelligence in transportation market are concentrating on the development of advanced pricing technologies, including AI-driven dynamic pricing models, to improve revenue optimization, pricing precision, and competitive positioning across logistics operations. AI-based dynamic pricing models use artificial intelligence to analyze real-time and historical data related to demand trends, asset utilization, market conditions, and competitive benchmarks, enabling continuous recommendations of optimal pricing ranges for transportation services. For instance, in September 2023, Imaginnovate, a US-based software company, launched a Dynamic Pricing Engine, an artificial intelligence solution designed to automate pricing in the transportation and logistics industry. This tool helps organizations establish competitive and profitable prices by evaluating factors such as transportation modes, equipment, demand levels, and competition, thereby optimizing revenue while preserving customer satisfaction.

In March 2024, Hayden AI, a US-based vision AI and spatial analytics company, announced a partnership with Snapper Services, the developer of the Mosaiq Transit Intelligence Suite, to strengthen data analytics capabilities for public transportation providers. Through this collaboration, Hayden AI's mobile perception platform, which is deployed on buses for transit zone enforcement, is integrated with Snapper's advanced analytics solution, Mosaiq Insights. The partnership aims to deliver actionable insights to transit agencies by leveraging both newly generated and existing data sources. Snapper Services is a New Zealand-based company that specializes in developing intelligent transportation solutions.

Major companies operating in the artificial intelligence in transportation market are 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 2025. 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, South East Asia, 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, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, 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 Market Global Report 2026 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses 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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  • Understand customers based on end user analysis.
  • Benchmark performance against key competitors based on market share, innovation, and brand strength.
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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, total addressable market (TAM), market attractiveness score (MAS), competitive landscape, market shares, company scoring matrix, 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. This section also examines key products and services offered in the market, evaluates brand-level differentiation, compares product features, and highlights major innovation and product development trends.
  • The supply chain analysis section provides an overview of the entire value chain, including key raw materials, resources, and supplier analysis. It also provides a list competitor at each level of the supply chain.
  • The updated trends and strategies section analyses the shape of the market as it evolves and highlights emerging technology trends such as digital transformation, automation, sustainability initiatives, and AI-driven innovation. It suggests how companies can leverage these advancements to strengthen their market position and achieve competitive differentiation.
  • The regulatory and investment landscape section provides an overview of the key regulatory frameworks, regularity bodies, associations, and government policies influencing the market. It also examines major investment flows, incentives, and funding trends shaping industry growth and innovation.
  • 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 technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.
  • The total addressable market (TAM) analysis section defines and estimates the market potential compares it with the current market size, and provides strategic insights and growth opportunities based on this evaluation.
  • The market attractiveness scoring section evaluates the market based on a quantitative scoring framework that considers growth potential, competitive dynamics, strategic fit, and risk profile. It also provides interpretive insights and strategic implications for decision-makers.
  • 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.
  • Expanded geographical coverage includes Taiwan and Southeast Asia, reflecting recent supply chain realignments and manufacturing shifts in the region. This section analyzes how these markets are becoming increasingly important hubs in the global value chain.
  • 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 company scoring matrix section evaluates and ranks leading companies based on a multi-parameter framework that includes market share or revenues, product innovation, and brand recognition.

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: Artificial Intelligence (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; Taiwan; Russia; South Korea; UK; USA; Canada; Italy; Spain.
  • Regions: Asia-Pacific; South East Asia; 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: Word, PDF or Interactive Report
  • + Excel Dashboard
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  • Bi-Annual Data Update
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Added Benefits available all on all list-price licence purchases, to be claimed at time of purchase. Customisations within report scope and limited to 20% of content and consultant support time limited to 8 hours.

Table of Contents

1. Executive Summary

  • 1.1. Key Market Insights (2020-2035)
  • 1.2. Visual Dashboard: Market Size, Growth Rate, Hotspots
  • 1.3. Major Factors Driving the Market
  • 1.4. Top Three Trends Shaping the Market

2. Artificial Intelligence in Transportation Market Characteristics

  • 2.1. Market Definition & Scope
  • 2.2. Market Segmentations
  • 2.3. Overview of Key Products and Services
  • 2.4. Global Artificial Intelligence in Transportation Market Attractiveness Scoring And Analysis
    • 2.4.1. Overview of Market Attractiveness Framework
    • 2.4.2. Quantitative Scoring Methodology
    • 2.4.3. Factor-Wise Evaluation
  • Growth Potential Analysis, Competitive Dynamics Assessment, Strategic Fit Assessment And Risk Profile Evaluation
    • 2.4.4. Market Attractiveness Scoring and Interpretation
    • 2.4.5. Strategic Implications and Recommendations

3. Artificial Intelligence in Transportation Market Supply Chain Analysis

  • 3.1. Overview of the Supply Chain and Ecosystem
  • 3.2. List Of Key Raw Materials, Resources & Suppliers
  • 3.3. List Of Major Distributors and Channel Partners
  • 3.4. List Of Major End Users

4. Global Artificial Intelligence in Transportation Market Trends And Strategies

  • 4.1. Key Technologies & Future Trends
    • 4.1.1 Artificial Intelligence & Autonomous Intelligence
    • 4.1.2 Autonomous Systems, Robotics & Smart Mobility
    • 4.1.3 Internet Of Things (Iot), Smart Infrastructure & Connected Ecosystems
    • 4.1.4 Digitalization, Cloud, Big Data & Cybersecurity
    • 4.1.5 Industry 4.0 & Intelligent Manufacturing
  • 4.2. Major Trends
    • 4.2.1 Increasing Adoption Of Ai-Based Traffic Management Systems
    • 4.2.2 Rising Deployment Of Predictive Maintenance Platforms
    • 4.2.3 Growing Use Of Ai-Driven Route Optimization Tools
    • 4.2.4 Expansion Of Semi-Autonomous Truck Operations
    • 4.2.5 Enhanced Integration Of Real-Time Transportation Analytics

5. Artificial Intelligence in Transportation Market Analysis Of End Use Industries

  • 5.1 Logistics And Transportation Companies
  • 5.2 Fleet Operators
  • 5.3 Public Transport Authorities
  • 5.4 Smart City Operators
  • 5.5 Automotive Oems

6. Artificial Intelligence in Transportation Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Trade Wars and Tariffs, Supply Chain Impact from Tariff War & Trade Protectionism, And Covid And Recovery On The Market

7. Global Artificial Intelligence in Transportation Strategic Analysis Framework, Current Market Size, Market Comparisons And Growth Rate Analysis

  • 7.1. Global Artificial Intelligence in Transportation PESTEL Analysis (Political, Social, Technological, Environmental and Legal Factors, Drivers and Restraints)
  • 7.2. Global Artificial Intelligence in Transportation Market Size, Comparisons And Growth Rate Analysis
  • 7.3. Global Artificial Intelligence in Transportation Historic Market Size and Growth, 2020 - 2025, Value ($ Billion)
  • 7.4. Global Artificial Intelligence in Transportation Forecast Market Size and Growth, 2025 - 2030, 2035F, Value ($ Billion)

8. Global Artificial Intelligence in Transportation Total Addressable Market (TAM) Analysis for the Market

  • 8.1. Definition and Scope of Total Addressable Market (TAM)
  • 8.2. Methodology and Assumptions
  • 8.3. Global Total Addressable Market (TAM) Estimation
  • 8.4. TAM vs. Current Market Size Analysis
  • 8.5. Strategic Insights and Growth Opportunities from TAM Analysis

9. Artificial Intelligence in Transportation Market Segmentation

  • 9.1. Global Artificial Intelligence in Transportation Market, Segmentation By Offering, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Hardware, Software
  • 9.2. Global Artificial Intelligence in Transportation Market, Segmentation By Machine Learning Technology, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Deep Learning, Computer Vision, Context Awareness, Natural Language Processing
  • 9.3. Global Artificial Intelligence in Transportation Market, Segmentation By Process, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Signal Recognition, Object Recognition, Data Mining
  • 9.4. Global Artificial Intelligence in Transportation Market, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Semi Autonomous Truck, Truck Platooning, Predictive Maintenance, Precision And Mapping, Autonomous Truck, Other Applications
  • 9.5. Global Artificial Intelligence in Transportation Market, Sub-Segmentation Of Hardware, By Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Sensors, Edge Computing Devices, Control Units And Processors, Communication Devices
  • 9.6. Global Artificial Intelligence in Transportation Market, Sub-Segmentation Of Software, By Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Artificial Intelligence (AI) Algorithms For Route Optimization, Autonomous Vehicle Software, Fleet Management Software, Predictive Maintenance Solutions, Traffic Management Systems

10. Artificial Intelligence in Transportation Market Regional And Country Analysis

  • 10.1. Global Artificial Intelligence in Transportation Market, Split By Region, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • 10.2. Global Artificial Intelligence in Transportation Market, Split By Country, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

11. Asia-Pacific Artificial Intelligence in Transportation Market

  • 11.1. 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
  • 11.2. Asia-Pacific Artificial Intelligence in Transportation Market, Segmentation By Offering, Segmentation By Machine Learning Technology, Segmentation By Process, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

12. China Artificial Intelligence in Transportation Market

  • 12.1. China Artificial Intelligence in Transportation Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 12.2. China Artificial Intelligence in Transportation Market, Segmentation By Offering, Segmentation By Machine Learning Technology, Segmentation By Process, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

13. India Artificial Intelligence in Transportation Market

  • 13.1. India Artificial Intelligence in Transportation Market, Segmentation By Offering, Segmentation By Machine Learning Technology, Segmentation By Process, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

14. Japan Artificial Intelligence in Transportation Market

  • 14.1. Japan Artificial Intelligence in Transportation Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 14.2. Japan Artificial Intelligence in Transportation Market, Segmentation By Offering, Segmentation By Machine Learning Technology, Segmentation By Process, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

15. Australia Artificial Intelligence in Transportation Market

  • 15.1. Australia Artificial Intelligence in Transportation Market, Segmentation By Offering, Segmentation By Machine Learning Technology, Segmentation By Process, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

16. Indonesia Artificial Intelligence in Transportation Market

  • 16.1. Indonesia Artificial Intelligence in Transportation Market, Segmentation By Offering, Segmentation By Machine Learning Technology, Segmentation By Process, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

17. South Korea Artificial Intelligence in Transportation Market

  • 17.1. South Korea Artificial Intelligence in Transportation Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 17.2. South Korea Artificial Intelligence in Transportation Market, Segmentation By Offering, Segmentation By Machine Learning Technology, Segmentation By Process, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

18. Taiwan Artificial Intelligence in Transportation Market

  • 18.1. Taiwan Artificial Intelligence in Transportation Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 18.2. Taiwan Artificial Intelligence in Transportation Market, Segmentation By Offering, Segmentation By Machine Learning Technology, Segmentation By Process, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

19. South East Asia Artificial Intelligence in Transportation Market

  • 19.1. South East Asia 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
  • 19.2. South East Asia Artificial Intelligence in Transportation Market, Segmentation By Offering, Segmentation By Machine Learning Technology, Segmentation By Process, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

20. Western Europe Artificial Intelligence in Transportation Market

  • 20.1. Western Europe 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
  • 20.2. Western Europe Artificial Intelligence in Transportation Market, Segmentation By Offering, Segmentation By Machine Learning Technology, Segmentation By Process, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

21. UK Artificial Intelligence in Transportation Market

  • 21.1. UK Artificial Intelligence in Transportation Market, Segmentation By Offering, Segmentation By Machine Learning Technology, Segmentation By Process, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

22. Germany Artificial Intelligence in Transportation Market

  • 22.1. Germany Artificial Intelligence in Transportation Market, Segmentation By Offering, Segmentation By Machine Learning Technology, Segmentation By Process, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

23. France Artificial Intelligence in Transportation Market

  • 23.1. France Artificial Intelligence in Transportation Market, Segmentation By Offering, Segmentation By Machine Learning Technology, Segmentation By Process, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

24. Italy Artificial Intelligence in Transportation Market

  • 24.1. Italy Artificial Intelligence in Transportation Market, Segmentation By Offering, Segmentation By Machine Learning Technology, Segmentation By Process, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

25. Spain Artificial Intelligence in Transportation Market

  • 25.1. Spain Artificial Intelligence in Transportation Market, Segmentation By Offering, Segmentation By Machine Learning Technology, Segmentation By Process, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

26. Eastern Europe Artificial Intelligence in Transportation Market

  • 26.1. Eastern Europe 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
  • 26.2. Eastern Europe Artificial Intelligence in Transportation Market, Segmentation By Offering, Segmentation By Machine Learning Technology, Segmentation By Process, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

27. Russia Artificial Intelligence in Transportation Market

  • 27.1. Russia Artificial Intelligence in Transportation Market, Segmentation By Offering, Segmentation By Machine Learning Technology, Segmentation By Process, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

28. North America Artificial Intelligence in Transportation Market

  • 28.1. North America 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
  • 28.2. North America Artificial Intelligence in Transportation Market, Segmentation By Offering, Segmentation By Machine Learning Technology, Segmentation By Process, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

29. USA Artificial Intelligence in Transportation Market

  • 29.1. USA Artificial Intelligence in Transportation Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 29.2. USA Artificial Intelligence in Transportation Market, Segmentation By Offering, Segmentation By Machine Learning Technology, Segmentation By Process, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

30. Canada Artificial Intelligence in Transportation Market

  • 30.1. Canada Artificial Intelligence in Transportation Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 30.2. Canada Artificial Intelligence in Transportation Market, Segmentation By Offering, Segmentation By Machine Learning Technology, Segmentation By Process, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

31. South America Artificial Intelligence in Transportation Market

  • 31.1. South America 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
  • 31.2. South America Artificial Intelligence in Transportation Market, Segmentation By Offering, Segmentation By Machine Learning Technology, Segmentation By Process, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

32. Brazil Artificial Intelligence in Transportation Market

  • 32.1. Brazil Artificial Intelligence in Transportation Market, Segmentation By Offering, Segmentation By Machine Learning Technology, Segmentation By Process, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

33. Middle East Artificial Intelligence in Transportation Market

  • 33.1. Middle East 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
  • 33.2. Middle East Artificial Intelligence in Transportation Market, Segmentation By Offering, Segmentation By Machine Learning Technology, Segmentation By Process, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

34. Africa Artificial Intelligence in Transportation Market

  • 34.1. Africa 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
  • 34.2. Africa Artificial Intelligence in Transportation Market, Segmentation By Offering, Segmentation By Machine Learning Technology, Segmentation By Process, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

35. Artificial Intelligence in Transportation Market Regulatory and Investment Landscape

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

  • 36.1. Artificial Intelligence in Transportation Market Competitive Landscape And Market Share 2024
    • 36.1.1. Top 10 Companies (Ranked by revenue/share)
  • 36.2. Artificial Intelligence in Transportation Market - Company Scoring Matrix
    • 36.2.1. Market Revenues
    • 36.2.2. Product Innovation Score
    • 36.2.3. Brand Recognition
  • 36.3. Artificial Intelligence in Transportation Market Company Profiles
    • 36.3.1. The Volvo Group Overview, Products and Services, Strategy and Financial Analysis
    • 36.3.2. Mercedes-Benz Group AG Overview, Products and Services, Strategy and Financial Analysis
    • 36.3.3. Scania AB Overview, Products and Services, Strategy and Financial Analysis
    • 36.3.4. Peloton Interactive Inc. Overview, Products and Services, Strategy and Financial Analysis
    • 36.3.5. Valeo SA Overview, Products and Services, Strategy and Financial Analysis

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

  • 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.

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

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

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

  • 40.1 Artificial Intelligence in Transportation Market In 2030 - Countries Offering Most New Opportunities
  • 40.2 Artificial Intelligence in Transportation Market In 2030 - Segments Offering Most New Opportunities
  • 40.3 Artificial Intelligence in Transportation Market In 2030 - Growth Strategies
    • 40.3.1 Market Trend Based Strategies
    • 40.3.2 Competitor Strategies

41. Appendix

  • 41.1. Abbreviations
  • 41.2. Currencies
  • 41.3. Historic And Forecast Inflation Rates
  • 41.4. Research Inquiries
  • 41.5. The Business Research Company
  • 41.6. Copyright And Disclaimer