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市場調查報告書
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1999553

2026年全球汽車與交通運輸人工智慧市場報告

AI In Automotive And 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，汽車和交通運輸領域的人工智慧市場發展迅速。預計該市場規模將從2025年的141.7億美元成長到2026年的169.6億美元，複合年成長率（CAGR）為19.7%。過去幾年成長要素包括：高級駕駛輔助系統（ADAS）的普及、車輛感測器的整合、汽車數位化、嵌入式運算的擴展以及對安全功能的需求。

預計未來幾年，汽車和交通運輸領域的人工智慧市場將快速成長。到2030年，該市場規模預計將達到313.1億美元，複合年成長率（CAGR）為16.6%。預測期內的成長要素包括全自動駕駛汽車的研發、智慧運輸系統的建構、即時交通最佳化、車聯網（V2X）技術的融合以及人工智慧驅動的個人化服務。預測期內的關鍵趨勢包括自動駕駛演算法的普及、駕駛員監控系統的擴展、人工智慧晶片在車輛中的整合、智慧交通解決方案的完善以及聯網汽車的興起。

預計未來幾年，對自動駕駛汽車日益成長的需求將推動汽車和交通運輸領域的人工智慧市場發展。自動駕駛汽車配備感測器、攝影機和人工智慧技術，使其能夠在無人干預的情況下行駛和操作。這些車輛需求旺盛，因為它們有望提高安全性、便利性和運輸效率。自動駕駛汽車中的人工智慧透過分析感測器數據和進行決策，即時了解周圍環境，使車輛能夠在無人操作的情況下安全且有效率地行駛。例如，根據美國國家保險監督官協會 (NAIC) 2024 年 12 月的數據，公路安全保險協會 (IIHS) 預測，到 2030 年，美國道路上將有 450 萬輛自動駕駛汽車。因此，對自動駕駛汽車日益成長的需求正在推動汽車和交通運輸領域的人工智慧市場成長。

汽車和交通運輸領域的主要企業正在開發車輛搜尋工具等技術先進的產品，以獲得競爭優勢。車輛搜尋工具由電子元件和軟體組成，可為汽車和交通運輸行業的車輛控制模組提供診斷、重新編程和介面功能。例如，總部位於美國的汽車技術公司Rodo於2024年2月發布了一款由人工智慧驅動的車輛搜尋工具。這項突破性的解決方案透過在線提供價格極具競爭力的車輛的準確信息，為客戶提供前所未有的便捷性和易用性，從而徹底改變了車輛搜尋。它模擬了經銷商處客戶與銷售人員的互動，即時提供個人化的搜尋結果和具有競爭力的價格資訊。該平台利用人工智慧技術，能夠回應客戶的特定查詢，提供即時結果，並提供更智慧、更快捷的車輛發現體驗。

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
  • 全球汽車與交通運輸領域人工智慧市場：吸引力評分與分析
  • 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
    • 數位化、雲端運算、巨量資料、網路安全
    • 物聯網、智慧基礎設施、互聯生態系統
    • 電動交通和交通運輸電氣化
  • 主要趨勢
    • 自動駕駛演算法的引入
    • 駕駛員監控系統的發展
    • 將人工智慧晶片嵌入車輛
    • 智慧交通解決方案的擴展
    • 聯網汽車的興起

第5章 終端用戶產業市場分析

  • 汽車製造商
  • 自動駕駛汽車開發公司
  • 行動服務供應商
  • 智慧城市市政當局
  • 車隊營運商

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

  • 全球汽車和交通運輸領域人工智慧市場：PESTEL 分析（政治、社會、技術、環境、法律因素、促進因素和限制因素）
  • 全球人工智慧市場規模、對比及汽車和交通運輸領域成長率分析。
  • 全球人工智慧市場在汽車和交通運輸領域的表現：規模和成長，2020-2025年
  • 全球汽車及交通運輸領域人工智慧市場預測：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

  • 報價
  • 硬體、軟體
  • 透過技術
  • 機器學習、自然語言處理、電腦視覺、上下文感知計算及其他技術
  • 透過使用
  • 人機互動介面、駕駛員監控、駕駛員或身分認證、智慧交通管理系統
  • 按類型細分：硬體
  • 感測器、處理單元、連接模組
  • 按類型細分：軟體
  • 以人工智慧為基礎的演算法、自動駕駛軟體、模擬軟體、數據分析軟體、車輛管理與最佳化軟體、雲端人工智慧平台

第10章 區域與國別分析

  • 全球汽車和交通運輸領域人工智慧市場：按地區分類，實際數據和預測數據，2020-2025年、2025-2030年、2035年
  • 全球汽車和交通運輸領域人工智慧市場：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11章 亞太市場

第12章：中國市場

第13章：印度市場

第14章：日本市場

第15章：澳洲市場

第16章：印尼市場

第17章：韓國市場

第18章 台灣市場

第19章 東南亞市場

第20章 西歐市場

第21章英國市場

第22章：德國市場

第23章：法國市場

第24章：義大利市場

第25章：西班牙市場

第26章：東歐市場

第27章：俄羅斯市場

第28章 北美市場

第29章：美國市場

第30章：加拿大市場

第31章：南美市場

第32章：巴西市場

第33章 中東市場

第34章：非洲市場

第35章 市場監理與投資環境

第36章：競爭格局與公司概況

  • 汽車和交通運輸領域人工智慧市場：競爭格局和市場佔有率，2024 年
  • 汽車與交通運輸領域人工智慧市場：公司估值矩陣
  • 汽車和交通運輸領域人工智慧市場：公司概況
    • Alphabet Inc.
    • Toyota Motor Corporation
    • Microsoft Corporation
    • Bayerische Motoren Werke AG
    • Robert Bosch GmbH

第37章 其他大型企業和創新企業

  • Tesla Inc., Siemens AG, Intel Corporation, International Business Machines Corporation（IBM）, AUDI AG, Denso Corporation, Qualcomm Technologies Inc., Continental AG, Uber Technologies Inc., Micron Technology Inc., Volvo Cars, NVIDIA Corporation, Valeo SA, Harman International, Scania AB

第38章：全球市場競爭基準分析與儀錶板

第39章 重大併購

第40章：具有高市場潛力的國家、細分市場與策略

  • 2030年汽車和交通運輸領域人工智慧市場：提供新機會的國家
  • 2030年汽車和交通運輸領域人工智慧市場：充滿新機會的細分市場
  • 2030年汽車和交通運輸領域人工智慧市場：成長策略
    • 基於市場趨勢的策略
    • 競爭對手的策略

第41章附錄

簡介目錄
Product Code: TR4MAATU01_G26Q1

AI in automotive and transportation involves integrating artificial intelligence technologies into vehicles and transportation systems to enhance safety, efficiency, and user satisfaction. This integration empowers vehicles with intelligence, enabling functionalities such as self-driving capabilities, predictive maintenance, and personalized user experiences.

The primary offerings in AI for automotive and transportation comprise hardware and software components. Hardware encompasses the physical elements of vehicles and infrastructure, including sensors, processors, and computing units, utilized for data collection and processing in AI applications. This hardware incorporates various technologies such as machine learning, natural language processing, computer vision, context-aware computing, among others. Its applications span human-machine interfaces, driver monitoring, driver or identity authentication, autonomous driving processing chips, and intelligent traffic management systems.

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 affecting the AI in automotive and transportation market by increasing the cost of imported sensors, AI processors, LiDAR systems, connectivity modules, and embedded computing hardware. Automotive manufacturers in North America and Europe are particularly impacted due to reliance on imported semiconductor components, while Asia-Pacific suppliers face export pricing pressure. These tariffs are raising system integration costs and slowing AI feature deployment. However, they are also accelerating localization of chip manufacturing, regional software development, and innovation in cost-optimized AI mobility platforms.

The ai in automotive and transportation market research report is one of a series of new reports from The Business Research Company that provides ai in automotive and transportation market statistics, including ai in automotive and transportation industry global market size, regional shares, competitors with a ai in automotive and transportation market share, detailed ai in automotive and transportation market segments, market trends and opportunities, and any further data you may need to thrive in the ai in automotive and transportation industry. This ai in automotive and 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 automotive and transportation market size has grown rapidly in recent years. It will grow from $14.17 billion in 2025 to $16.96 billion in 2026 at a compound annual growth rate (CAGR) of 19.7%. The growth in the historic period can be attributed to advanced driver assistance systems adoption, sensor integration in vehicles, automotive digitization, growth of embedded computing, safety feature demand.

The ai in automotive and transportation market size is expected to see rapid growth in the next few years. It will grow to $31.31 billion in 2030 at a compound annual growth rate (CAGR) of 16.6%. The growth in the forecast period can be attributed to full autonomous vehicle development, smart mobility ecosystems, real-time traffic optimization, vehicle-to-everything integration, AI-driven personalization. Major trends in the forecast period include adoption of autonomous driving algorithms, growth of driver monitoring systems, integration of ai chips in vehicles, expansion of smart traffic solutions, rise of connected vehicles.

The rising demand for autonomous vehicles is expected to drive the growth of the AI in automotive and transportation market in the coming years. Autonomous vehicles are equipped with sensors, cameras, and artificial intelligence technologies that allow them to navigate and operate without human intervention. Demand for these vehicles is increasing due to their potential to enhance safety, improve convenience, and boost efficiency in transportation. AI in autonomous vehicles enables real-time perception of the surroundings through sensor data analysis and decision-making, allowing vehicles to operate safely and efficiently without human input. For example, in December 2024, according to the National Association of Insurance Commissioners, the Insurance Institute for Highway Safety anticipates that 4.5 million self-driving vehicles will be on U.S. roads by 2030. Therefore, the growing demand for autonomous vehicles is fueling the AI in automotive and transportation market.

Key players in the AI in automotive and transportation sector are innovating technologically advanced products, such as vehicle search tools, to gain a competitive edge. Vehicle search tools, comprising electronic devices or software, diagnose, reprogram, and interface with vehicle control modules in the automotive and transportation industries. For example, in February 2024, Rodo, a US-based automotive technology company, introduced an AI-powered vehicle search tool. This groundbreaking solution transforms vehicle searches, offering unmatched convenience and simplicity by providing customers with precise insights into competitively priced vehicles online. It delivers instant, personalized results and competitive pricing, replicating the in-store interaction between customers and salespersons. Leveraging its AI technology, the platform addresses specific customer queries, ensuring immediate results and offering a smarter, faster vehicle discovery experience.

In January 2024, Stellantis N.V., a Netherlands-based automobile corporation, acquired artificial intelligence and machine learning technology, along with intellectual property rights and patents, from CloudMade for an undisclosed sum. Through this acquisition, Stellantis aims to reinforce its software strategy and expedite the development of its STLA smart cockpit, striving to create intelligent mobility solutions swiftly and flexibly to digitally integrate vehicles and drivers. CloudMade, a UK-based provider of AI in automotive and transportation, adds strategic value to Stellantis' objectives.

Major companies operating in the ai in automotive and transportation market report include Alphabet Inc., Toyota Motor Corporation, Microsoft Corporation, Bayerische Motoren Werke AG, Robert Bosch GmbH, Tesla Inc., Siemens AG, Intel Corporation, International Business Machines Corporation (IBM), AUDI AG, Denso Corporation, Qualcomm Technologies Inc., Continental AG, Uber Technologies Inc., Micron Technology Inc., Volvo Cars, NVIDIA Corporation, Valeo SA, Harman International, Scania AB, Argo AI LLC, CarVi Inc., Arbe Robotics Ltd., Visteon Corporation

North America was the largest region in the AI in automotive and transportation market in 2025. The regions covered in the ai in automotive and transportation market report include Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

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

The AI in automotive and transportation market consists revenues earned by entities by providing services such as smart navigation, traffic management, fleet management, and vehicle diagnostics. The market value includes the value of related goods sold by the service provider or included within the service offering. The AI in automotive and transportation market also includes of sales of advanced driver assistance systems, in-vehicle infotainment systems, predictive maintenance solutions, traffic management systems, and energy management 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.

AI In Automotive And 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 ai in automotive and 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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  • Outperform competitors using forecast data and the drivers and trends shaping the market.
  • Understand customers based on end user analysis.
  • Benchmark performance against key competitors based on market share, innovation, and brand strength.
  • Evaluate the total addressable market (TAM) and market attractiveness scoring to measure market potential.
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Where is the largest and fastest growing market for ai in automotive and 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 ai in automotive and 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 Technology: Machine Learning; Natural Language Processing; Computer Vision; Context-Aware Computing; Other Technologies
  • 3) By Application: Human Machine Interface; Driver Monitoring; Driver Or Identity Authentication; Intelligent Traffic Management System
  • Subsegments:
  • 1) By Hardware: Sensors; Processing Units; Connectivity Modules
  • 2) By Software: AI-Based Algorithms; Autonomous Driving Software; Simulation Software; Data Analytics Software; Fleet Management And Optimization Software; Cloud-Based AI Platforms
  • Companies Mentioned: Alphabet Inc.; Toyota Motor Corporation; Microsoft Corporation; Bayerische Motoren Werke AG; Robert Bosch GmbH; Tesla Inc.; Siemens AG; Intel Corporation; International Business Machines Corporation (IBM); AUDI AG; Denso Corporation; Qualcomm Technologies Inc.; Continental AG; Uber Technologies Inc.; Micron Technology Inc.; Volvo Cars; NVIDIA Corporation; Valeo SA; Harman International; Scania AB; Argo AI LLC; CarVi Inc.; Arbe Robotics Ltd.; Visteon Corporation
  • 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
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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. AI In Automotive And Transportation Market Characteristics

  • 2.1. Market Definition & Scope
  • 2.2. Market Segmentations
  • 2.3. Overview of Key Products and Services
  • 2.4. Global AI In Automotive And 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. AI In Automotive And 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 AI In Automotive And 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 Digitalization, Cloud, Big Data & Cybersecurity
    • 4.1.4 Internet Of Things (Iot), Smart Infrastructure & Connected Ecosystems
    • 4.1.5 Electric Mobility & Transportation Electrification
  • 4.2. Major Trends
    • 4.2.1 Adoption Of Autonomous Driving Algorithms
    • 4.2.2 Growth Of Driver Monitoring Systems
    • 4.2.3 Integration Of Ai Chips In Vehicles
    • 4.2.4 Expansion Of Smart Traffic Solutions
    • 4.2.5 Rise Of Connected Vehicles

5. AI In Automotive And Transportation Market Analysis Of End Use Industries

  • 5.1 Automotive Oems
  • 5.2 Autonomous Vehicle Developers
  • 5.3 Mobility Service Providers
  • 5.4 Smart City Authorities
  • 5.5 Fleet Operators

6. AI In Automotive And 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 AI In Automotive And Transportation Strategic Analysis Framework, Current Market Size, Market Comparisons And Growth Rate Analysis

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

8. Global AI In Automotive And 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. AI In Automotive And Transportation Market Segmentation

  • 9.1. Global AI In Automotive And Transportation Market, Segmentation By Offering, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Hardware, Software
  • 9.2. Global AI In Automotive And Transportation Market, Segmentation By Technology, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Machine Learning, Natural Language Processing, Computer Vision, Context-Aware Computing, Other Technologies
  • 9.3. Global AI In Automotive And Transportation Market, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Human Machine Interface, Driver Monitoring, Driver Or Identity Authentication, Intelligent Traffic Management System
  • 9.4. Global AI In Automotive And Transportation Market, Sub-Segmentation Of Hardware, By Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Sensors, Processing Units, Connectivity Modules
  • 9.5. Global AI In Automotive And Transportation Market, Sub-Segmentation Of Software, By Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • AI-Based Algorithms, Autonomous Driving Software, Simulation Software, Data Analytics Software, Fleet Management And Optimization Software, Cloud-Based AI Platforms

10. AI In Automotive And Transportation Market Regional And Country Analysis

  • 10.1. Global AI In Automotive And Transportation Market, Split By Region, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • 10.2. Global AI In Automotive And Transportation Market, Split By Country, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

11. Asia-Pacific AI In Automotive And Transportation Market

  • 11.1. Asia-Pacific AI In Automotive And 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 AI In Automotive And Transportation Market, Segmentation By Offering, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

12. China AI In Automotive And Transportation Market

  • 12.1. China AI In Automotive And 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 AI In Automotive And Transportation Market, Segmentation By Offering, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

13. India AI In Automotive And Transportation Market

  • 13.1. India AI In Automotive And Transportation Market, Segmentation By Offering, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

14. Japan AI In Automotive And Transportation Market

  • 14.1. Japan AI In Automotive And 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 AI In Automotive And Transportation Market, Segmentation By Offering, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

15. Australia AI In Automotive And Transportation Market

  • 15.1. Australia AI In Automotive And Transportation Market, Segmentation By Offering, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

16. Indonesia AI In Automotive And Transportation Market

  • 16.1. Indonesia AI In Automotive And Transportation Market, Segmentation By Offering, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

17. South Korea AI In Automotive And Transportation Market

  • 17.1. South Korea AI In Automotive And 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 AI In Automotive And Transportation Market, Segmentation By Offering, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

18. Taiwan AI In Automotive And Transportation Market

  • 18.1. Taiwan AI In Automotive And 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 AI In Automotive And Transportation Market, Segmentation By Offering, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

19. South East Asia AI In Automotive And Transportation Market

  • 19.1. South East Asia AI In Automotive And 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 AI In Automotive And Transportation Market, Segmentation By Offering, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

20. Western Europe AI In Automotive And Transportation Market

  • 20.1. Western Europe AI In Automotive And 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 AI In Automotive And Transportation Market, Segmentation By Offering, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

21. UK AI In Automotive And Transportation Market

  • 21.1. UK AI In Automotive And Transportation Market, Segmentation By Offering, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

22. Germany AI In Automotive And Transportation Market

  • 22.1. Germany AI In Automotive And Transportation Market, Segmentation By Offering, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

23. France AI In Automotive And Transportation Market

  • 23.1. France AI In Automotive And Transportation Market, Segmentation By Offering, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

24. Italy AI In Automotive And Transportation Market

  • 24.1. Italy AI In Automotive And Transportation Market, Segmentation By Offering, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

25. Spain AI In Automotive And Transportation Market

  • 25.1. Spain AI In Automotive And Transportation Market, Segmentation By Offering, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

26. Eastern Europe AI In Automotive And Transportation Market

  • 26.1. Eastern Europe AI In Automotive And 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 AI In Automotive And Transportation Market, Segmentation By Offering, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

27. Russia AI In Automotive And Transportation Market

  • 27.1. Russia AI In Automotive And Transportation Market, Segmentation By Offering, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

28. North America AI In Automotive And Transportation Market

  • 28.1. North America AI In Automotive And 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 AI In Automotive And Transportation Market, Segmentation By Offering, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

29. USA AI In Automotive And Transportation Market

  • 29.1. USA AI In Automotive And 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 AI In Automotive And Transportation Market, Segmentation By Offering, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

30. Canada AI In Automotive And Transportation Market

  • 30.1. Canada AI In Automotive And 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 AI In Automotive And Transportation Market, Segmentation By Offering, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

31. South America AI In Automotive And Transportation Market

  • 31.1. South America AI In Automotive And 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 AI In Automotive And Transportation Market, Segmentation By Offering, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

32. Brazil AI In Automotive And Transportation Market

  • 32.1. Brazil AI In Automotive And Transportation Market, Segmentation By Offering, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

33. Middle East AI In Automotive And Transportation Market

  • 33.1. Middle East AI In Automotive And 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 AI In Automotive And Transportation Market, Segmentation By Offering, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

34. Africa AI In Automotive And Transportation Market

  • 34.1. Africa AI In Automotive And 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 AI In Automotive And Transportation Market, Segmentation By Offering, Segmentation By Technology, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

35. AI In Automotive And Transportation Market Regulatory and Investment Landscape

36. AI In Automotive And Transportation Market Competitive Landscape And Company Profiles

  • 36.1. AI In Automotive And Transportation Market Competitive Landscape And Market Share 2024
    • 36.1.1. Top 10 Companies (Ranked by revenue/share)
  • 36.2. AI In Automotive And Transportation Market - Company Scoring Matrix
    • 36.2.1. Market Revenues
    • 36.2.2. Product Innovation Score
    • 36.2.3. Brand Recognition
  • 36.3. AI In Automotive And Transportation Market Company Profiles
    • 36.3.1. Alphabet Inc. Overview, Products and Services, Strategy and Financial Analysis
    • 36.3.2. Toyota Motor Corporation Overview, Products and Services, Strategy and Financial Analysis
    • 36.3.3. Microsoft Corporation Overview, Products and Services, Strategy and Financial Analysis
    • 36.3.4. Bayerische Motoren Werke AG Overview, Products and Services, Strategy and Financial Analysis
    • 36.3.5. Robert Bosch GmbH Overview, Products and Services, Strategy and Financial Analysis

37. AI In Automotive And Transportation Market Other Major And Innovative Companies

  • Tesla Inc., Siemens AG, Intel Corporation, International Business Machines Corporation (IBM), AUDI AG, Denso Corporation, Qualcomm Technologies Inc., Continental AG, Uber Technologies Inc., Micron Technology Inc., Volvo Cars, NVIDIA Corporation, Valeo SA, Harman International, Scania AB

38. Global AI In Automotive And Transportation Market Competitive Benchmarking And Dashboard

39. Key Mergers And Acquisitions In The AI In Automotive And Transportation Market

40. AI In Automotive And Transportation Market High Potential Countries, Segments and Strategies

  • 40.1 AI In Automotive And Transportation Market In 2030 - Countries Offering Most New Opportunities
  • 40.2 AI In Automotive And Transportation Market In 2030 - Segments Offering Most New Opportunities
  • 40.3 AI In Automotive And 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