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1981218

2026年全球交通運輸領域生成式人工智慧市場報告

Generative Artificial Intelligence (AI) 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個工作天內

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簡介目錄

近年來，交通運輸領域生成式人工智慧的市場規模迅速擴張。預計該市場規模將從2025年的12億美元成長到2026年的14.3億美元，複合年成長率（CAGR）為19.1%。過去幾年成長要素包括城市交通網路的擴張、物流需求的成長、車輛相關業務的擴張、交通堵塞的加劇以及遠程資訊處理解決方案的普及應用。

預計未來幾年，交通運輸領域生成式人工智慧的市場規模將快速成長，到2030年將達到28.3億美元，複合年成長率（CAGR）為18.7%。預測期內的成長預計將受到以下因素的推動：生成式人工智慧融入交通規劃、自動駕駛汽車生態系統的擴展、對即時交通最佳化的需求、對交通安全日益重視以及對智慧運輸基礎設施的投資。預測期內的關鍵趨勢包括：人工智慧驅動的路線最佳化、交通資產的預測性維護、生成式交通模擬模型、智慧車輛管理系統以及基於人工智慧的安全與風險評估。

未來幾年，對自動駕駛汽車日益成長的需求預計將推動交通運輸領域生成式人工智慧市場的發展。自動駕駛汽車（AV），也稱為無人駕駛汽車或自動駕駛車輛，利用感測器、攝影機、雷達、人工智慧和機器學習演算法的組合來實現無需人工直接控制的駕駛和操作。安全問題、政府支持政策和獎勵、消費者偏好的變化以及日益嚴重的交通堵塞等因素，都促使人們對自動駕駛汽車的需求不斷成長。生成式人工智慧透過產生各種駕駛場景和模擬、增強系統可靠性和安全性以及創建個人化使用者介面來支援自動駕駛汽車的開發，從而改善使用者體驗和互動。例如，根據美國國家公路交通安全管理局（NHTSA）的數據，截至2024年12月，預計到2030年，美國道路上將有約450萬輛自動駕駛汽車。因此，對自動駕駛汽車需求的激增正在推動交通運輸領域生成式人工智慧市場的成長。

交通運輸領域主要企業正致力於開發先進技術，例如生成式人工智慧 (GenAI) 聊天機器人，以提升個人化使用者體驗。這些聊天機器人利用複雜的機器學習模型實現自然語言對話。例如，2024 年 8 月，專注於物聯網技術的以色列公司 Wiliot 發布了 WiliBot，這是一款專為與任何環境物聯網連接產品進行自然語言互動而設計的生成式人工智慧 (GenAI) 聊天機器人。 WiliBot 將實體產品與數位智慧連結起來，讓企業和消費者能夠就產品詳情和供應鏈進行有意義的對話。透過將大規模語言模型 (LLM) 與 Wiliot 的環境物聯網技術整合，WiliBot 允許用戶查詢產品資訊，例如有效期、運輸歷史記錄和永續性指標。該聊天機器人利用 Wiliot 自生成式物聯網設備 Pixels 的即時數據，Pixels 可監測位置、溫度和濕度等因素。這些數據透過藍牙傳輸到 Wiliot 的雲端進行分析。 WiliBot 的人工智慧演算法可以偵測供應鏈問題，例如溫度偏差，並產生警報和建議以提高營運效率。

目錄

第1章執行摘要

第2章 市場特徵

  • 市場定義和範圍
  • 市場區隔
  • 主要產品和服務概述
  • 全球人工智慧驅動交通運輸市場：吸引力評分及分析
  • 成長潛力分析、競爭評估、策略適宜性評估、風險狀況評估

第3章 市場供應鏈分析

  • 供應鏈與生態系概述
  • 清單：主要原料、資源和供應商
  • 主要經銷商和通路合作夥伴名單
  • 主要最終用戶列表

第4章：全球市場趨勢與策略

  • 關鍵科技與未來趨勢
    • 人工智慧（AI）和自主人工智慧
    • 自主系統、機器人、智慧運輸
    • 物聯網、智慧基礎設施、互聯生態系統
    • 數位化、雲端運算、巨量資料、網路安全
    • 電動交通和交通運輸電氣化
  • 主要趨勢
    • 人工智慧驅動的路線最佳化
    • 交通運輸資產的預測性維護
    • 生成式交通模擬模型
    • 智慧車隊管理系統
    • 人工智慧驅動的安全與風險評估

第5章 終端用戶產業市場分析

  • 汽車製造商
  • 物流和貨運公司
  • 公共運輸
  • 車輛管理公司
  • 都市計畫機構

第6章 市場：宏觀經濟情景，包括利率、通貨膨脹、地緣政治、貿易戰和關稅的影響、關稅戰和貿易保護主義對供應鏈的影響，以及 COVID-19 疫情對市場的影響。

第7章：全球策略分析架構、目前市場規模、市場對比及成長率分析

  • 全球交通運輸領域生成式人工智慧市場：PESTEL 分析（政治、社會、技術、環境、法律因素、促進因素與限制因素）
  • 全球交通運輸領域生成式人工智慧市場規模、比較及成長率分析
  • 全球交通運輸領域生成式人工智慧市場表現：規模與成長，2020-2025年
  • 全球交通運輸領域生成式人工智慧市場預測：規模與成長，2025-2030年及2035年預測

第8章：全球市場總規模（TAM）

第9章 市場細分

  • 按類型
  • 服務、解決方案
  • 透過使用
  • 路線最佳化、客戶支援、安全評估、預測性維護及其他應用
  • 最終用戶
  • 汽車製造商、運輸公司
  • 按類型細分：服務
  • 人工智慧驅動的交通管理服務、預測性維修服務、自動駕駛車輛開發服務、路線最佳化和規劃服務、基於人​​工智慧的物流和供應鏈服務
  • 按類型細分：解決方案
  • 自動駕駛解決方案、人工智慧驅動的車隊管理解決方案、智慧型運輸系統(ITS) 解決方案、人工智慧驅動的導航和地圖解決方案、人工智慧驅動的安全解決方案

第10章 市場與產業指標：依國家分類

第11章 區域與國別分析

  • 全球交通運輸領域生成式人工智慧市場：按地區分類，實際數據和預測數據，2020-2025年、2025-2030年、2035年
  • 全球交通運輸領域生成式人工智慧市場：按國家/地區分類，實際數據和預測數據，2020-2025 年、2025-2030 年、2035 年

第12章 亞太市場

第13章：中國市場

第14章：印度市場

第15章：日本市場

第16章：澳洲市場

第17章：印尼市場

第18章：韓國市場

第19章 台灣市場

第20章：東南亞市場

第21章 西歐市場

第22章英國市場

第23章：德國市場

第24章：法國市場

第25章：義大利市場

第26章：西班牙市場

第27章 東歐市場

第28章：俄羅斯市場

第29章 北美市場

第30章：美國市場

第31章：加拿大市場

第32章：南美洲市場

第33章：巴西市場

第34章 中東市場

第35章：非洲市場

第36章 市場監理與投資環境

第37章：競爭格局與公司概況

  • 交通運輸領域生成式人工智慧市場：競爭格局與市場佔有率（2024 年）
  • 交通運輸領域生成式人工智慧市場：公司估值矩陣
  • 交通運輸領域生成式人工智慧市場：公司概況
    • Amazon Web Services Inc.
    • Accenture plc
    • International Business Machines Corporation
    • Oracle Corporation
    • Continental AG

第38章 其他大型企業和創新企業

  • SAP SE, Nvidia Corporation, Capgemini SE, Cognizant Technology Solutions Corp., Infosys Limited, Adobe Inc., HCL Technologies Limited, Wipro Ltd., ServiceNow Inc., Blue Yonder Group Inc., Geotab Inc., Kinaxis Inc., DataRobot Inc., Resilinc Corporation, LLamasoft Inc.

第39章 全球市場競爭基準分析與儀錶板

第40章 重大併購

第41章 具有高市場潛力的國家、細分市場與策略

  • 2030年交通運輸領域生成式人工智慧市場：提供新機會的國家
  • 2030年交通運輸領域生成式人工智慧市場：新興細分市場機會
  • 2030年交通運輸領域生成式人工智慧市場：成長策略
    • 基於市場趨勢的策略
    • 競爭對手的策略

第42章附錄

簡介目錄
Product Code: IT4MGAIA40_G26Q1

Generative artificial intelligence (AI) in transportation involves the use of AI models to create new data that improves various aspects of transportation systems. Its main objectives are to enhance efficiency, safety, and innovation by developing better system designs, predicting and mitigating traffic issues, optimizing logistics and fleet management, and advancing vehicle technologies.

Generative AI in transportation primarily includes services and solutions. Services encompass consulting, integration, and support to assist businesses in implementing and optimizing AI technologies for greater efficiency and innovation. These services are applied in areas such as route optimization, customer support, safety assessment, and predictive maintenance. They are utilized by a range of end-users, including automotive manufacturers and transportation agencies.

Tariffs have affected the generative artificial intelligence in transportation market by increasing costs associated with imported sensors, semiconductors, and advanced computing systems used in AI driven transport solutions. These higher costs have impacted fleet management, predictive maintenance, and intelligent transport system deployments, especially in Asia Pacific and North America. Infrastructure heavy projects have faced delays due to rising equipment expenses. However, tariffs are encouraging domestic manufacturing of transport technologies, regional sourcing of components, and stronger local innovation ecosystems, supporting long term sector resilience.

The generative artificial intelligence (AI) in transportation market research report is one of a series of new reports from The Business Research Company that provides generative artificial intelligence (AI) in transportation market statistics, including generative artificial intelligence (AI) in transportation industry global market size, regional shares, competitors with a generative artificial intelligence (AI) in transportation market share, detailed generative artificial intelligence (AI) in transportation market segments, market trends and opportunities, and any further data you may need to thrive in the generative artificial intelligence (AI) in transportation industry. This generative artificial intelligence (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 generative artificial intelligence (AI) in transportation market size has grown rapidly in recent years. It will grow from $1.2 billion in 2025 to $1.43 billion in 2026 at a compound annual growth rate (CAGR) of 19.1%. The growth in the historic period can be attributed to growth of urban transportation networks, rising logistics demand, expansion of fleet based operations, increasing traffic congestion, adoption of telematics solutions.

The generative artificial intelligence (AI) in transportation market size is expected to see rapid growth in the next few years. It will grow to $2.83 billion in 2030 at a compound annual growth rate (CAGR) of 18.7%. The growth in the forecast period can be attributed to integration of generative AI in transport planning, growth of autonomous vehicle ecosystems, demand for real time traffic optimization, focus on transport safety, investments in smart mobility infrastructure. Major trends in the forecast period include AI driven route optimization, predictive maintenance for transport assets, generative traffic simulation models, intelligent fleet management systems, AI based safety and risk assessment.

The growing demand for autonomous vehicles is expected to drive the growth of generative artificial intelligence (AI) in the transportation market in the coming years. Autonomous vehicles (AVs), also referred to as self-driving or driverless vehicles, can navigate and operate without direct human control by utilizing a combination of sensors, cameras, radar, AI, and machine learning algorithms. The demand for autonomous vehicles is increasing due to factors such as safety concerns, supportive government policies and incentives, evolving consumer preferences, and rising traffic congestion. Generative AI supports autonomous vehicle development by generating diverse driving scenarios and simulations, enhancing system reliability and safety, and creating personalized user interfaces to improve user experience and interaction. For example, in December 2024, according to the National Highway Traffic Safety Administration, a US-based government agency, an estimated 4.5 million self-driving vehicles are expected to be operating on U.S. roads by 2030. Therefore, the surge in demand for autonomous vehicles is fueling the growth of generative artificial intelligence (AI) in the transportation market.

Leading companies in the generative AI in transportation market are focusing on developing advanced technologies such as generative AI (GenAI) chatbots to enhance personalized user experiences. These chatbots facilitate natural language conversations using advanced machine learning models. For instance, in August 2024, Wiliot, an Israel-based company specializing in Internet of Things technology, introduced WiliBot, a generative AI (GenAI) chatbot designed for natural-language interactions with any ambient IoT-connected product. WiliBot connects physical products with digital intelligence, allowing businesses and consumers to engage meaningfully about product details and supply chains. By integrating a large language model (LLM) with Wiliot's ambient IoT technology, WiliBot enables users to inquire about product information such as shelf life, transport history, and sustainability metrics. It uses real-time data from Wiliot's self-powered IoT Pixels, which monitor factors such as location, temperature, and humidity. This data is transmitted via Bluetooth to the Wiliot cloud for analysis. WiliBot's AI algorithms can detect supply chain issues, such as temperature deviations, and generate alerts or recommendations to improve operational efficiency.

In August 2024, Blue Yonder Group, Inc., a US-based supply chain management company, acquired One Network Enterprises for approximately $839 million. This acquisition aims to integrate One Network's Digital Supply Chain Network with Blue Yonder's existing solutions, creating a unified platform for real-time optimization and collaboration across various supply chain tiers, from suppliers to customers. One Network Enterprises, Inc., based in the US, provides generative AI solutions for supply chain management and transportation.

Major companies operating in the generative artificial intelligence (AI) in transportation market are Amazon Web Services Inc., Accenture plc, International Business Machines Corporation, Oracle Corporation, Continental AG, SAP SE, Nvidia Corporation, Capgemini SE, Cognizant Technology Solutions Corp., Infosys Limited, Adobe Inc., HCL Technologies Limited, Wipro Ltd., ServiceNow Inc., Blue Yonder Group Inc., Geotab Inc., Kinaxis Inc., DataRobot Inc., Resilinc Corporation, LLamasoft Inc., ClearMetal Inc.

North America was the largest region in the generative artificial intelligence (AI) in the transportation market in 2025. The regions covered in the generative artificial intelligence (AI) 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 generative artificial intelligence (AI) in transportation market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The generative artificial intelligence (AI) in transportation market consists of revenue earned by entities by providing services such as autonomous vehicle navigation, traffic management and control, supply chain optimization, safety enhancements, and urban planning and infrastructure design. The market value includes the value of related goods sold by the service provider or included within the service offering. The generative artificial intelligence (AI) in transportation market also includes sales of embedded AI systems, autonomous systems components, edge AI devices, and AI-enhanced navigation systems. 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.

Generative Artificial Intelligence (AI) 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 generative artificial intelligence (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 generative artificial intelligence (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, including technological disruption, regulatory shifts, and changing consumer preferences? The generative artificial intelligence (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, 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 Type: Services; Solution
  • 2) By Application: Route Optimization; Customer Support; Assess Safety; Predictive Maintenance; Other Applications
  • 3) By End-User: Automotive Manufacturers; Transportation Agencies
  • Subsegments:
  • 1) By Services: AI-Powered Traffic Management Services; Predictive Maintenance Services; Autonomous Vehicle Development Services; Route Optimization And Planning Services; AI-Based Logistics And Supply Chain Services
  • 2) By Solution: Autonomous Driving Solutions; AI-Based Fleet Management Solutions; Intelligent Transport Systems (ITS) Solutions; AI-Powered Navigation And Mapping Solutions; AI-Driven Safety And Security Solutions
  • Companies Mentioned: Amazon Web Services Inc.; Accenture plc; International Business Machines Corporation; Oracle Corporation; Continental AG; SAP SE; Nvidia Corporation; Capgemini SE; Cognizant Technology Solutions Corp.; Infosys Limited; Adobe Inc.; HCL Technologies Limited; Wipro Ltd.; ServiceNow Inc.; Blue Yonder Group Inc.; Geotab Inc.; Kinaxis Inc.; DataRobot Inc.; Resilinc Corporation; LLamasoft Inc.; ClearMetal 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.
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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. Generative Artificial Intelligence (AI) In Transportation Market Characteristics

  • 2.1. Market Definition & Scope
  • 2.2. Market Segmentations
  • 2.3. Overview of Key Products and Services
  • 2.4. Global Generative Artificial Intelligence (AI) 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. Generative Artificial Intelligence (AI) 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 Generative Artificial Intelligence (AI) 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 Electric Mobility & Transportation Electrification
  • 4.2. Major Trends
    • 4.2.1 AI Driven Route Optimization
    • 4.2.2 Predictive Maintenance For Transport Assets
    • 4.2.3 Generative Traffic Simulation Models
    • 4.2.4 Intelligent Fleet Management Systems
    • 4.2.5 AI Based Safety And Risk Assessment

5. Generative Artificial Intelligence (AI) In Transportation Market Analysis Of End Use Industries

  • 5.1 Automotive Manufacturers
  • 5.2 Logistics And Freight Companies
  • 5.3 Public Transportation Authorities
  • 5.4 Fleet Management Operators
  • 5.5 Urban Planning Agencies

6. Generative Artificial Intelligence (AI) 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 Generative Artificial Intelligence (AI) In Transportation Strategic Analysis Framework, Current Market Size, Market Comparisons And Growth Rate Analysis

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

8. Global Generative Artificial Intelligence (AI) 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. Generative Artificial Intelligence (AI) In Transportation Market Segmentation

  • 9.1. Global Generative Artificial Intelligence (AI) In Transportation Market, Segmentation By Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Services, Solution
  • 9.2. Global Generative Artificial Intelligence (AI) In Transportation Market, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Route Optimization, Customer Support, Assess Safety, Predictive Maintenance, Other Applications
  • 9.3. Global Generative Artificial Intelligence (AI) In Transportation Market, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Automotive Manufacturers, Transportation Agencies
  • 9.4. Global Generative Artificial Intelligence (AI) In Transportation Market, Sub-Segmentation Of Services, By Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • AI-Powered Traffic Management Services, Predictive Maintenance Services, Autonomous Vehicle Development Services, Route Optimization And Planning Services, AI-Based Logistics And Supply Chain Services
  • 9.5. Global Generative Artificial Intelligence (AI) In Transportation Market, Sub-Segmentation Of Solution, By Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Autonomous Driving Solutions, AI-Based Fleet Management Solutions, Intelligent Transport Systems (ITS) Solutions, AI-Powered Navigation And Mapping Solutions, AI-Driven Safety And Security Solutions

10. Generative Artificial Intelligence (AI) In Transportation Market, Industry Metrics By Country

  • 10.1. Global Generative Artificial Intelligence (AI) In Transportation Market, Average Selling Price By Country, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $
  • 10.2. Global Generative Artificial Intelligence (AI) In Transportation Market, Average Spending Per Capita (Employed) By Country, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $

11. Generative Artificial Intelligence (AI) In Transportation Market Regional And Country Analysis

  • 11.1. Global Generative Artificial Intelligence (AI) In Transportation Market, Split By Region, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • 11.2. Global Generative Artificial Intelligence (AI) In Transportation Market, Split By Country, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

12. Asia-Pacific Generative Artificial Intelligence (AI) In Transportation Market

  • 12.1. Asia-Pacific Generative Artificial Intelligence (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
  • 12.2. Asia-Pacific Generative Artificial Intelligence (AI) In Transportation Market, Segmentation By Type, Segmentation By Application, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

13. China Generative Artificial Intelligence (AI) In Transportation Market

  • 13.1. China Generative Artificial Intelligence (AI) 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
  • 13.2. China Generative Artificial Intelligence (AI) In Transportation Market, Segmentation By Type, Segmentation By Application, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

14. India Generative Artificial Intelligence (AI) In Transportation Market

  • 14.1. India Generative Artificial Intelligence (AI) In Transportation Market, Segmentation By Type, Segmentation By Application, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

15. Japan Generative Artificial Intelligence (AI) In Transportation Market

  • 15.1. Japan Generative Artificial Intelligence (AI) 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
  • 15.2. Japan Generative Artificial Intelligence (AI) In Transportation Market, Segmentation By Type, Segmentation By Application, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

16. Australia Generative Artificial Intelligence (AI) In Transportation Market

  • 16.1. Australia Generative Artificial Intelligence (AI) In Transportation Market, Segmentation By Type, Segmentation By Application, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

17. Indonesia Generative Artificial Intelligence (AI) In Transportation Market

  • 17.1. Indonesia Generative Artificial Intelligence (AI) In Transportation Market, Segmentation By Type, Segmentation By Application, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

18. South Korea Generative Artificial Intelligence (AI) In Transportation Market

  • 18.1. South Korea Generative Artificial Intelligence (AI) 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. South Korea Generative Artificial Intelligence (AI) In Transportation Market, Segmentation By Type, Segmentation By Application, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

19. Taiwan Generative Artificial Intelligence (AI) In Transportation Market

  • 19.1. Taiwan Generative Artificial Intelligence (AI) 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
  • 19.2. Taiwan Generative Artificial Intelligence (AI) In Transportation Market, Segmentation By Type, Segmentation By Application, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

20. South East Asia Generative Artificial Intelligence (AI) In Transportation Market

  • 20.1. South East Asia Generative Artificial Intelligence (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
  • 20.2. South East Asia Generative Artificial Intelligence (AI) In Transportation Market, Segmentation By Type, Segmentation By Application, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

21. Western Europe Generative Artificial Intelligence (AI) In Transportation Market

  • 21.1. Western Europe Generative Artificial Intelligence (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
  • 21.2. Western Europe Generative Artificial Intelligence (AI) In Transportation Market, Segmentation By Type, Segmentation By Application, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

22. UK Generative Artificial Intelligence (AI) In Transportation Market

  • 22.1. UK Generative Artificial Intelligence (AI) In Transportation Market, Segmentation By Type, Segmentation By Application, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

23. Germany Generative Artificial Intelligence (AI) In Transportation Market

  • 23.1. Germany Generative Artificial Intelligence (AI) In Transportation Market, Segmentation By Type, Segmentation By Application, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

24. France Generative Artificial Intelligence (AI) In Transportation Market

  • 24.1. France Generative Artificial Intelligence (AI) In Transportation Market, Segmentation By Type, Segmentation By Application, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

25. Italy Generative Artificial Intelligence (AI) In Transportation Market

  • 25.1. Italy Generative Artificial Intelligence (AI) In Transportation Market, Segmentation By Type, Segmentation By Application, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

26. Spain Generative Artificial Intelligence (AI) In Transportation Market

  • 26.1. Spain Generative Artificial Intelligence (AI) In Transportation Market, Segmentation By Type, Segmentation By Application, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

27. Eastern Europe Generative Artificial Intelligence (AI) In Transportation Market

  • 27.1. Eastern Europe Generative Artificial Intelligence (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
  • 27.2. Eastern Europe Generative Artificial Intelligence (AI) In Transportation Market, Segmentation By Type, Segmentation By Application, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

28. Russia Generative Artificial Intelligence (AI) In Transportation Market

  • 28.1. Russia Generative Artificial Intelligence (AI) In Transportation Market, Segmentation By Type, Segmentation By Application, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

29. North America Generative Artificial Intelligence (AI) In Transportation Market

  • 29.1. North America Generative Artificial Intelligence (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
  • 29.2. North America Generative Artificial Intelligence (AI) In Transportation Market, Segmentation By Type, Segmentation By Application, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

30. USA Generative Artificial Intelligence (AI) In Transportation Market

  • 30.1. USA Generative Artificial Intelligence (AI) 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. USA Generative Artificial Intelligence (AI) In Transportation Market, Segmentation By Type, Segmentation By Application, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

31. Canada Generative Artificial Intelligence (AI) In Transportation Market

  • 31.1. Canada Generative Artificial Intelligence (AI) 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
  • 31.2. Canada Generative Artificial Intelligence (AI) In Transportation Market, Segmentation By Type, Segmentation By Application, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

32. South America Generative Artificial Intelligence (AI) In Transportation Market

  • 32.1. South America Generative Artificial Intelligence (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
  • 32.2. South America Generative Artificial Intelligence (AI) In Transportation Market, Segmentation By Type, Segmentation By Application, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

33. Brazil Generative Artificial Intelligence (AI) In Transportation Market

  • 33.1. Brazil Generative Artificial Intelligence (AI) In Transportation Market, Segmentation By Type, Segmentation By Application, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

34. Middle East Generative Artificial Intelligence (AI) In Transportation Market

  • 34.1. Middle East Generative Artificial Intelligence (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
  • 34.2. Middle East Generative Artificial Intelligence (AI) In Transportation Market, Segmentation By Type, Segmentation By Application, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

35. Africa Generative Artificial Intelligence (AI) In Transportation Market

  • 35.1. Africa Generative Artificial Intelligence (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
  • 35.2. Africa Generative Artificial Intelligence (AI) In Transportation Market, Segmentation By Type, Segmentation By Application, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

36. Generative Artificial Intelligence (AI) In Transportation Market Regulatory and Investment Landscape

37. Generative Artificial Intelligence (AI) In Transportation Market Competitive Landscape And Company Profiles

  • 37.1. Generative Artificial Intelligence (AI) In Transportation Market Competitive Landscape And Market Share 2024
    • 37.1.1. Top 10 Companies (Ranked by revenue/share)
  • 37.2. Generative Artificial Intelligence (AI) In Transportation Market - Company Scoring Matrix
    • 37.2.1. Market Revenues
    • 37.2.2. Product Innovation Score
    • 37.2.3. Brand Recognition
  • 37.3. Generative Artificial Intelligence (AI) In Transportation Market Company Profiles
    • 37.3.1. Amazon Web Services Inc. Overview, Products and Services, Strategy and Financial Analysis
    • 37.3.2. Accenture plc Overview, Products and Services, Strategy and Financial Analysis
    • 37.3.3. International Business Machines Corporation Overview, Products and Services, Strategy and Financial Analysis
    • 37.3.4. Oracle Corporation Overview, Products and Services, Strategy and Financial Analysis
    • 37.3.5. Continental AG Overview, Products and Services, Strategy and Financial Analysis

38. Generative Artificial Intelligence (AI) In Transportation Market Other Major And Innovative Companies

  • SAP SE, Nvidia Corporation, Capgemini SE, Cognizant Technology Solutions Corp., Infosys Limited, Adobe Inc., HCL Technologies Limited, Wipro Ltd., ServiceNow Inc., Blue Yonder Group Inc., Geotab Inc., Kinaxis Inc., DataRobot Inc., Resilinc Corporation, LLamasoft Inc.

39. Global Generative Artificial Intelligence (AI) In Transportation Market Competitive Benchmarking And Dashboard

40. Key Mergers And Acquisitions In The Generative Artificial Intelligence (AI) In Transportation Market

41. Generative Artificial Intelligence (AI) In Transportation Market High Potential Countries, Segments and Strategies

  • 41.1. Generative Artificial Intelligence (AI) In Transportation Market In 2030 - Countries Offering Most New Opportunities
  • 41.2. Generative Artificial Intelligence (AI) In Transportation Market In 2030 - Segments Offering Most New Opportunities
  • 41.3. Generative Artificial Intelligence (AI) In Transportation Market In 2030 - Growth Strategies
    • 41.3.1. Market Trend Based Strategies
    • 41.3.2. Competitor Strategies

42. Appendix

  • 42.1. Abbreviations
  • 42.2. Currencies
  • 42.3. Historic And Forecast Inflation Rates
  • 42.4. Research Inquiries
  • 42.5. The Business Research Company
  • 42.6. Copyright And Disclaimer