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運輸における人工知能の世界市場レポート 2025年

Artificial Intelligence in Transportation Global Market Report 2025

出版日
ページ情報
英文 200 Pages
納期
2～10営業日
カスタマイズ可能
適宜更新あり
価格
価格表記: USDを日本円(税抜)に換算
本日の銀行送金レート: 1USD=144.06円
運輸における人工知能の世界市場レポート 2025年
出版日: 2025年01月20日
発行: The Business Research Company
ページ情報: 英文 200 Pages
納期: 2～10営業日
GIIご利用のメリット
  • 全表示
  • 概要
  • 目次
概要

運輸における人工知能市場規模は、今後数年で飛躍的な成長が見込まれます。2029年にはCAGR20.9％で91億7,000万米ドルに成長します。予測期間の成長は、効率的な運用のためのサプライチェーンと物流におけるAI用途の拡大、自律走行車開発のためのAI採用の急増、複数の輸送の計画と調整におけるAIの統合、リアルタイムのルート最適化と交通予測のためのai使用の増加、公共交通システムにおけるAI駆動ソリューションの需要の増加に起因しています。予測期間における主要動向としては、AIを活用したMaaS（Mobility-as-a-Service）プラットフォームの開発、意思決定プロセスの透明性を高めるための説明可能なAIの重視、パーソナライズされた適応的な車内体験のためのAIの活用、特定の交通モードや産業向けのAIソリューションのカスタマイズ、AI開発者と交通利害関係者のコラボレーションなどが挙げられます。

自律走行車に対する需要の高まりは、輸送市場における人工知能の成長を今後も促進すると予想されます。自律走行車は、アダプティブクルーズコントロール、アクティブ・ステアリング、アンチロック・ブレーキシステム、GPSナビゲーション、レーザー、レーダーなど、さまざまな車載技術やセンサを活用して、ある場所からによる場所へと「自動操縦」モードで航行できる輸送システムです。これらの自動車は、安全運転と潜在的な事故や障害物の検知を人工知能に依存しています。例えば、2023年12月、カナダを拠点とする研究機関、ビクトリア交通施策ラボの報告書は、2045年までに新車の半数が自律走行車になり、2060年までに車両全体の半数が自律走行車になると予測しています。このように、自律走行車に対する需要の高まりは、輸送セグメントにおける人工知能の拡大に拍車をかけると考えられます。

都市化の進展は、輸送市場における人工知能の成長を促進すると予想されます。都市化とは、経済成長と工業化によって農村地域が都市環境に移行することを指します。人工知能は、都市景観における輸送の最適化において重要な役割を果たし、よりスマートな交通管理、予知保全、自律走行車の利用を可能にすることで、効率を高め、交通渋滞を緩和します。2023年4月の世界銀行グループの報告書によると、現在、世界人口の半数以上が都市部に居住しており、2045年までにこの都市人口は60億人に達し、1.5倍に増加すると予測されています。その結果、都市化の進展は、輸送における人工知能導入の触媒として機能します。

目次

第1章 エグゼクティブサマリー

第2章 市場の特徴

第3章 市場動向と戦略

第4章 市場-金利、インフレ、地政学、コロナ禍、回復が市場に与える影響を含むマクロ経済シナリオ

第5章 世界成長分析と戦略分析フレームワーク

  • 世界の運輸における人工知能PESTEL分析（政治、社会、技術、環境、法的、促進要因、制約要因）
  • 最終用途産業の分析
  • 世界の運輸における人工知能市場成長率分析
  • 世界の運輸における人工知能市場の実績：規模と成長、2019～2024年
  • 世界の運輸における人工知能市場の予測：規模と成長、2024～2029年、2034年
  • 世界の運輸における人工知能総アドレス可能市場（TAM）

第6章 市場セグメンテーション

  • 世界の運輸における人工知能市場：オファリング別、実績と予測、2019～2024年、2024～2029年、2034年
  • ハードウェア
  • ソフトウェア
  • 世界の運輸における人工知能市場：機械学習技術別、実績と予測、2019～2024年、2024～2029年、2034年
  • ディープラーニング
  • コンピュータビジョン
  • コンテキスト認識
  • 自然言語処理
  • 世界の運輸における人工知能市場：プロセス別、実績と予測、2019～2024年、2024～2029年、2034年
  • 信号認識
  • 物体認識
  • データマイニング
  • 世界の運輸における人工知能市場：用途別、実績と予測、2019～2024年、2024～2029年、2034年
  • 半自動運転トラック
  • トラックのプラトーニング
  • 予知保全
  • 精度とマッピング
  • 自動運転トラック
  • その他
  • 世界の運輸における人工知能市場、ハードウェアのサブセグメンテーション、タイプ別実績と予測、2019～2024年、2024～2029年、2034年
  • センサ
  • エッジコンピューティングデバイス
  • 制御ユニットとプロセッサ
  • 通信機器
  • 世界の運輸における人工知能市場、ソフトウェアのサブセグメンテーション、タイプ別実績と予測、2019～2024年、2024～2029年、2034年
  • ルート最適化のためのAIアルゴリズム
  • 自動運転車ソフトウェア
  • 車両管理ソフトウェア
  • 予知保全ソリューション
  • 交通管理システム

第7章 地域別・国別分析

  • 世界の運輸における人工知能市場：地域別、実績と予測、2019～2024年、2024～2029年、2034年
  • 世界の運輸における人工知能市場：国別、実績と予測、2019～2024年、2024～2029年、2034年

第8章 アジア太平洋市場

第9章 中国市場

第10章 インド市場

第11章 日本市場

第12章 オーストラリア市場

第13章 インドネシア市場

第14章 韓国市場

第15章 西欧市場

第16章 英国市場

第17章 ドイツ市場

第18章 フランス市場

第19章 イタリア市場

第20章 スペイン市場

第21章 東欧市場

第22章 ロシア市場

第23章 北米市場

第24章 米国市場

第25章 カナダ市場

第26章 南米市場

第27章 ブラジル市場

第28章 中東市場

第29章 アフリカ市場

第30章 競合情勢と企業プロファイル

  • 運輸における人工知能市場：競合情勢
  • 運輸における人工知能市場：企業プロファイル
    • The Volvo Group
    • Mercedes-Benz Group AG
    • Scania AB
    • Peloton Interactive Inc.
    • Valeo SA

第31章 その他の大手企業と革新的企業

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

第32章 世界市場競合ベンチマーキングとダッシュボード

第33章 主要な合併と買収

第34章 市場の最近の動向

第35章 市場の潜在力が高い国、戦略

  • 運輸における人工知能市場、2029年-最も新しい機会を提供する国
  • 運輸における人工知能市場、2029年-最も新しい機会を提供するセグメント
  • 運輸における人工知能市場、2029年-成長戦略
    • 市場動向による戦略
    • 競合の戦略

第36章 付録

目次
Product Code: r21024

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.

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

The artificial intelligence in transportation market size has grown rapidly in recent years. It will grow from $3.63 billion in 2024 to $4.29 billion in 2025 at a compound annual growth rate (CAGR) of 18.2%. The growth in the historic period can be attributed to use of cameras and sensors for collision avoidance, use of ai to analyze information in real time, use of high-performance computing and deep learning systems, growth inThe availability of big data for training ai models, increasing emphasis on automation for improved safety and efficiency.

The artificial intelligence in transportation market size is expected to see exponential growth in the next few years. It will grow to $9.17 billion in 2029 at a compound annual growth rate (CAGR) of 20.9%. The growth in the forecast period can be attributed to expansion of ai applications in supply chain and logistics for efficient operations, surge in adoption of ai for autonomous vehicle development, integration of ai in multimodal transportation planning and coordination, growth in the use of ai for real-time route optimization and traffic prediction, increasing demand for ai-driven solutions in public transportation systems. Major trends in the forecast period include development of ai-powered mobility-as-a-service (maas) platforms, emphasis on explainable ai for transparency in decision-making processes, use of ai for personalized and adaptive in-vehicle experiences, customization of ai solutions for specific transportation modes and industries, collaboration between ai developers and transportation stakeholders.

The rising demand for autonomous vehicles is expected to drive the growth of artificial intelligence in the transportation market moving forward. Autonomous vehicles are transport systems capable of navigating from one location to another in 'autopilot' mode, utilizing various in-vehicle technologies and sensors such as adaptive cruise control, active steering, anti-lock braking systems, GPS navigation, lasers, and radar. These vehicles rely on artificial intelligence to operate safely and detect potential accidents or obstacles. For instance, in December 2023, a report by the Victoria Transport Policy Institute, a Canada-based research organization, projected that half of new vehicles could be autonomous by 2045, with half of the overall vehicle fleet becoming autonomous by 2060. Thus, the growing demand for autonomous vehicles will fuel the expansion of artificial intelligence in the transportation sector.

Increasing urbanization is anticipated to drive the growth of artificial intelligence in the transportation market. Urbanization refers to the transition of rural areas into urban settings due to economic growth and industrialization. Artificial intelligence plays a crucial role in optimizing transportation in urban landscapes, enabling smarter traffic management, predictive maintenance, and the use of autonomous vehicles, thereby enhancing efficiency and reducing traffic congestion. As per the World Bank Group's report in April 2023, over half of the world's population currently resides in urban areas, and by 2045, this urban population is predicted to reach 6 billion, marking a 1. 5 times increase. Consequently, the rise in urbanization acts as a catalyst for artificial intelligence adoption in transportation.

Technological advancements stand out as a prominent trend fueling the artificial intelligence in the transportation market. Key market players are concentrating on innovating new products to fortify their market positions. For instance, in January 2022, Qualcomm, a US-based semiconductor manufacturer, introduced Snapdragon Ride. This technology aims to simplify autonomous driving and Advanced Driver Assistance Systems (ADAS) by integrating high-performance, energy-efficient hardware, artificial intelligence (AI) technologies, and an autonomous driving stack. Snapdragon Ride offers comprehensive tools for building deep neural networks (deep learning), resulting in a cost-effective, high-performance system.

Major players in the artificial intelligence in transportation sector are rolling out AI tools like the Dynamic Pricing Engine to tackle logistics industry challenges. This tool utilizes multiple variables like transportation modes, equipment, demand, and market competition to generate price ranges for logistics services. For instance, Imaginnovate, a US-based software firm, introduced the Dynamic Pricing Engine in September 2023. This AI tool automates pricing strategies in transportation and logistics, enabling companies to set competitive yet profitable prices. It considers factors such as transportation types, equipment, demand, and competition to optimize revenue while ensuring customer satisfaction.

In March 2024, Hayden AI, a US-based vision AI and spatial analytics company, announced a partnership with Snapper Services, the developers of the Mosaiq Transit Intelligence Suite, to enhance data analysis capabilities for public transportation providers. This collaboration combines Hayden AI's mobile perception platform, which is used on buses for transit zone enforcement, with Snapper's advanced analytics platform, Mosaiq Insights. The aim is to provide transit agencies with valuable insights by leveraging both new and existing data sources. Snapper Services, based in New Zealand, specializes in developing intelligent transportation solutions.

Major companies operating in the artificial intelligence in transportation market include The Volvo Group, Mercedes-Benz Group AG, Scania AB, Peloton Interactive Inc., Valeo SA, Xevo Inc., Nvidia Corporation, Intel Corporation, Robert Bosch GmbH, Continental AG, Microsoft Corporation, International Business Machines Corp, Magna International Inc., ZF Friedrichshafen AG, Alphabet Inc., Daimler AG, General Motors Company, Aptiv plc, Denso Corporation, Xilinx Inc., TomTom NV, Harman International Industries Inc., Nauto Inc., FiveAI Inc., Waymo LLC, Uber Technologies Inc., Tesla Inc., Mobileye NV, Baidu Inc., AutoX Inc., Ponyai Inc., TuSimple Inc., Aurora Innovation Inc., Embark Trucks Inc., Plusai Inc.

North America was the largest region in the artificial intelligence in transportation market in 2024. Asia-Pacific is expected to be the fastest growing region in the forecast period. The regions covered in the artificial intelligence in transportation market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa

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

Artificial Intelligence in transportation market includes revenues earned by entities by road traffic management systems, unmanned aircraft systems, automation of train operation (ATO), automatic identification systems (AIS) for shipping and autonomous navigation. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included.

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

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

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

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

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

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

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

The forecasts are made after considering the major factors currently impacting the market. These include the Russia-Ukraine war, rising inflation, higher interest rates, and the legacy of the COVID-19 pandemic.

  • Market segmentations break down the market into sub markets.
  • The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth. It covers the growth trajectory of COVID-19 for all regions, key developed countries and major emerging markets.
  • The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
  • The trends and strategies section analyses the shape of the market as it emerges from the crisis and suggests how companies can grow as the market recovers.

Scope

  • Markets Covered:1) By Offering: Hardware; Software
  • 2) By Machine Learning Technology: Deep Learning; Computer Vision; Context Awareness; Natural Language Processing
  • 3) By Process: Signal Recognition; Object Recognition; Data Mining
  • 4) By Application: Semi Autonomous Truck; Truck Platooning; Predictive Maintenance; Precision And Mapping; Autonomous Truck; Other Applications
  • Subsegments:
  • 1) By Hardware: Sensors; Edge Computing Devices; Control Units And Processors; Communication Devices
  • 2) By Software: AI Algorithms For Route Optimization; Autonomous Vehicle Software; Fleet Management Software; Predictive Maintenance Solutions; Traffic Management Systems
  • Companies Mentioned: The Volvo Group; Mercedes-Benz Group AG; Scania AB; Peloton Interactive Inc.; Valeo SA
  • Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Russia; South Korea; UK; USA; Canada; Italy; Spain
  • Regions: Asia-Pacific; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
  • Time series: Five years historic and ten years forecast.
  • Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita,
  • Data segmentations: country and regional historic and forecast data, market share of competitors, market segments.
  • Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
  • Delivery format: PDF, Word and Excel Data Dashboard.

Table of Contents

1. Executive Summary

2. Artificial Intelligence in Transportation Market Characteristics

3. Artificial Intelligence in Transportation Market Trends And Strategies

4. Artificial Intelligence in Transportation Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics And Covid And Recovery On The Market

5. Global Artificial Intelligence in Transportation Growth Analysis And Strategic Analysis Framework

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

6. Artificial Intelligence in Transportation Market Segmentation

  • 6.1. Global Artificial Intelligence in Transportation Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Hardware
  • Software
  • 6.2. Global Artificial Intelligence in Transportation Market, Segmentation By Machine Learning Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Deep Learning
  • Conputer Vision
  • Context Awareness
  • Natural Language Processing
  • 6.3. Global Artificial Intelligence in Transportation Market, Segmentation By Process, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Signal Recognition
  • Object Recognition
  • Data Mining
  • 6.4. Global Artificial Intelligence in Transportation Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Semi Autonomous Truck
  • Truck Platooning
  • Predictive Maintenance
  • Precision And Mapping
  • Autonomous Truck
  • Other Applications
  • 6.5. Global Artificial Intelligence in Transportation Market, Sub-Segmentation Of Hardware, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Sensors
  • Edge Computing Devices
  • Control Units And Processors
  • Communication Devices
  • 6.6. Global Artificial Intelligence in Transportation Market, Sub-Segmentation Of Software, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • AI Algorithms For Route Optimization
  • Autonomous Vehicle Software
  • Fleet Management Software
  • Predictive Maintenance Solutions
  • Traffic Management Systems

7. Artificial Intelligence in Transportation Market Regional And Country Analysis

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

8. Asia-Pacific Artificial Intelligence in Transportation Market

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

9. China Artificial Intelligence in Transportation Market

  • 9.1. China Artificial Intelligence in Transportation Market Overview
  • 9.2. China Artificial Intelligence in Transportation Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
  • 9.3. China Artificial Intelligence in Transportation Market, Segmentation By Machine Learning Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
  • 9.4. China Artificial Intelligence in Transportation Market, Segmentation By Process, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion

10. India Artificial Intelligence in Transportation Market

  • 10.1. India Artificial Intelligence in Transportation Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 10.2. India Artificial Intelligence in Transportation Market, Segmentation By Machine Learning Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 10.3. India Artificial Intelligence in Transportation Market, Segmentation By Process, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

11. Japan Artificial Intelligence in Transportation Market

  • 11.1. Japan Artificial Intelligence in Transportation Market Overview
  • 11.2. Japan Artificial Intelligence in Transportation Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 11.3. Japan Artificial Intelligence in Transportation Market, Segmentation By Machine Learning Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 11.4. Japan Artificial Intelligence in Transportation Market, Segmentation By Process, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

12. Australia Artificial Intelligence in Transportation Market

  • 12.1. Australia Artificial Intelligence in Transportation Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 12.2. Australia Artificial Intelligence in Transportation Market, Segmentation By Machine Learning Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 12.3. Australia Artificial Intelligence in Transportation Market, Segmentation By Process, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

13. Indonesia Artificial Intelligence in Transportation Market

  • 13.1. Indonesia Artificial Intelligence in Transportation Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 13.2. Indonesia Artificial Intelligence in Transportation Market, Segmentation By Machine Learning Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 13.3. Indonesia Artificial Intelligence in Transportation Market, Segmentation By Process, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

14. South Korea Artificial Intelligence in Transportation Market

  • 14.1. South Korea Artificial Intelligence in Transportation Market Overview
  • 14.2. South Korea Artificial Intelligence in Transportation Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 14.3. South Korea Artificial Intelligence in Transportation Market, Segmentation By Machine Learning Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 14.4. South Korea Artificial Intelligence in Transportation Market, Segmentation By Process, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

15. Western Europe Artificial Intelligence in Transportation Market

  • 15.1. Western Europe Artificial Intelligence in Transportation Market Overview
  • 15.2. Western Europe Artificial Intelligence in Transportation Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 15.3. Western Europe Artificial Intelligence in Transportation Market, Segmentation By Machine Learning Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 15.4. Western Europe Artificial Intelligence in Transportation Market, Segmentation By Process, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

16. UK Artificial Intelligence in Transportation Market

  • 16.1. UK Artificial Intelligence in Transportation Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 16.2. UK Artificial Intelligence in Transportation Market, Segmentation By Machine Learning Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 16.3. UK Artificial Intelligence in Transportation Market, Segmentation By Process, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

17. Germany Artificial Intelligence in Transportation Market

  • 17.1. Germany Artificial Intelligence in Transportation Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 17.2. Germany Artificial Intelligence in Transportation Market, Segmentation By Machine Learning Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 17.3. Germany Artificial Intelligence in Transportation Market, Segmentation By Process, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

18. France Artificial Intelligence in Transportation Market

  • 18.1. France Artificial Intelligence in Transportation Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 18.2. France Artificial Intelligence in Transportation Market, Segmentation By Machine Learning Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 18.3. France Artificial Intelligence in Transportation Market, Segmentation By Process, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

19. Italy Artificial Intelligence in Transportation Market

  • 19.1. Italy Artificial Intelligence in Transportation Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 19.2. Italy Artificial Intelligence in Transportation Market, Segmentation By Machine Learning Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 19.3. Italy Artificial Intelligence in Transportation Market, Segmentation By Process, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

20. Spain Artificial Intelligence in Transportation Market

  • 20.1. Spain Artificial Intelligence in Transportation Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 20.2. Spain Artificial Intelligence in Transportation Market, Segmentation By Machine Learning Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 20.3. Spain Artificial Intelligence in Transportation Market, Segmentation By Process, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

21. Eastern Europe Artificial Intelligence in Transportation Market

  • 21.1. Eastern Europe Artificial Intelligence in Transportation Market Overview
  • 21.2. Eastern Europe Artificial Intelligence in Transportation Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 21.3. Eastern Europe Artificial Intelligence in Transportation Market, Segmentation By Machine Learning Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 21.4. Eastern Europe Artificial Intelligence in Transportation Market, Segmentation By Process, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

22. Russia Artificial Intelligence in Transportation Market

  • 22.1. Russia Artificial Intelligence in Transportation Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 22.2. Russia Artificial Intelligence in Transportation Market, Segmentation By Machine Learning Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 22.3. Russia Artificial Intelligence in Transportation Market, Segmentation By Process, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

23. North America Artificial Intelligence in Transportation Market

  • 23.1. North America Artificial Intelligence in Transportation Market Overview
  • 23.2. North America Artificial Intelligence in Transportation Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 23.3. North America Artificial Intelligence in Transportation Market, Segmentation By Machine Learning Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 23.4. North America Artificial Intelligence in Transportation Market, Segmentation By Process, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

24. USA Artificial Intelligence in Transportation Market

  • 24.1. USA Artificial Intelligence in Transportation Market Overview
  • 24.2. USA Artificial Intelligence in Transportation Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 24.3. USA Artificial Intelligence in Transportation Market, Segmentation By Machine Learning Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 24.4. USA Artificial Intelligence in Transportation Market, Segmentation By Process, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

25. Canada Artificial Intelligence in Transportation Market

  • 25.1. Canada Artificial Intelligence in Transportation Market Overview
  • 25.2. Canada Artificial Intelligence in Transportation Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 25.3. Canada Artificial Intelligence in Transportation Market, Segmentation By Machine Learning Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 25.4. Canada Artificial Intelligence in Transportation Market, Segmentation By Process, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

26. South America Artificial Intelligence in Transportation Market

  • 26.1. South America Artificial Intelligence in Transportation Market Overview
  • 26.2. South America Artificial Intelligence in Transportation Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 26.3. South America Artificial Intelligence in Transportation Market, Segmentation By Machine Learning Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 26.4. South America Artificial Intelligence in Transportation Market, Segmentation By Process, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

27. Brazil Artificial Intelligence in Transportation Market

  • 27.1. Brazil Artificial Intelligence in Transportation Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 27.2. Brazil Artificial Intelligence in Transportation Market, Segmentation By Machine Learning Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 27.3. Brazil Artificial Intelligence in Transportation Market, Segmentation By Process, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

28. Middle East Artificial Intelligence in Transportation Market

  • 28.1. Middle East Artificial Intelligence in Transportation Market Overview
  • 28.2. Middle East Artificial Intelligence in Transportation Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 28.3. Middle East Artificial Intelligence in Transportation Market, Segmentation By Machine Learning Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 28.4. Middle East Artificial Intelligence in Transportation Market, Segmentation By Process, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

29. Africa Artificial Intelligence in Transportation Market

  • 29.1. Africa Artificial Intelligence in Transportation Market Overview
  • 29.2. Africa Artificial Intelligence in Transportation Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 29.3. Africa Artificial Intelligence in Transportation Market, Segmentation By Machine Learning Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 29.4. Africa Artificial Intelligence in Transportation Market, Segmentation By Process, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

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

  • 30.1. Artificial Intelligence in Transportation Market Competitive Landscape
  • 30.2. Artificial Intelligence in Transportation Market Company Profiles
    • 30.2.1. The Volvo Group Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.2. Mercedes-Benz Group AG Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.3. Scania AB Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.4. Peloton Interactive Inc. Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.5. Valeo SA Overview, Products and Services, Strategy and Financial Analysis

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

  • 31.1. Xevo Inc.
  • 31.2. Nvidia Corporation
  • 31.3. Intel Corporation
  • 31.4. Robert Bosch GmbH
  • 31.5. Continental AG
  • 31.6. Microsoft Corporation
  • 31.7. International Business Machines Corp
  • 31.8. Magna International Inc.
  • 31.9. ZF Friedrichshafen AG
  • 31.10. Alphabet Inc.
  • 31.11. Daimler AG
  • 31.12. General Motors Company
  • 31.13. Aptiv plc
  • 31.14. Denso Corporation
  • 31.15. Xilinx Inc.

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

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

34. Recent Developments In The Artificial Intelligence in Transportation Market

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

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

36. Appendix

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