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輸送におけるAIの世界市場レポート 2024年

AI in Transportation Global Market Report 2024
出版日: 受注後更新 | 発行: The Business Research Company | ページ情報: 英文 200 Pages | 納期: 2～10営業日

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本日の銀行送金レート: 1USD=156.58円
輸送におけるAIの世界市場レポート 2024年
出版日: 受注後更新
発行: The Business Research Company
ページ情報: 英文 200 Pages
納期: 2～10営業日
  • 全表示
  • 概要
  • 目次
概要

輸送におけるAIの市場規模は近年急速に拡大しています。2023年の32億5,000万米ドルから2024年には38億6,000万米ドルへと、CAGR18.6％で拡大します。過去の期間に見られた成長は、交通管理の最適化、自律走行車開発の進歩、インテリジェント公共交通ソリューションの需要増加、車両の予知保全の実施、スマートインフラ構想の台頭など、いくつかの要因に起因しています。

輸送におけるAI市場規模は、今後数年で急成長が見込まれます。2028年にはCAGR18.5％で76億2,000万米ドルに成長します。予測期間中に予想される成長は、電気自動車やコネクテッドカーの拡大、都市モビリティ・ソリューションにおけるAIの統合、持続可能なスマートシティの開発への注力、強化された安全機能の組み込み、遠隔操作・監視システムの導入など、いくつかの要因によるものと考えられます。予測期間中に予想される注目すべき動向には、AIアルゴリズムと機械学習の進歩、輸送におけるAIを推進する政府の取り組みと規制、自律走行車の進歩、AIを活用した予知保全の適用、複合交通システムの統合などが含まれます。

車両数の急増が輸送におけるAI市場の成長を促進すると予測されています。車両数の増加は、人口増加、経済発展、公共交通インフラの制限などの要因に起因します。AIは、リアルタイムの交通データを分析することで、交通の流れを最適化し、渋滞を緩和し、移動時間を短縮する上で重要な役割を果たしています。この分析により、信号のタイミングや車線構成を調整することができます。例えば、2023年3月現在、ヘッジス・アンド・カンパニーは、米国の登録自動車台数が0.9％増加し、2020年の2億8,690万台から2021年には2億8,950万台に増加すると報告しています。その結果、自動車台数の増加が輸送におけるAI市場の成長を促進する主要因となっています。

交通事故の発生率の上昇も、輸送におけるAI市場の成長を促進すると予想されます。交通事故とは、公道で少なくとも1台の車両が衝突し、少なくとも1人が負傷または死亡する事故と定義されます。輸送におけるAIは、交通渋滞を管理し、交通の流れを強化し、事故の可能性を最小限に抑えるために導入されています。例えば、米国道路交通安全局は、米国における2022年上半期の路上交通事故による死亡者数を20,175人と推定しており、これは2021年から0.5%増加したことを反映しています。その結果、交通事故件数の増加が輸送におけるAI導入の原動力となっています。

2023年の輸送におけるAI市場で最大の地域は北米でした。輸送におけるAI市場レポートの対象地域は、アジア太平洋,西欧,東欧,北米,南米,中東,アフリカです。

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 マクロ経済シナリオ

  • 高インフレが市場に与える影響
  • ウクライナ・ロシア戦争が市場に与える影響
  • COVID-19による市場への影響

第5章 世界市場規模と成長

  • 世界の市場促進要因と抑制要因
    • 市場促進要因
    • 市場抑制要因
  • 世界の市場規模実績と成長、2018年～2023年
  • 世界の市場規模予測と成長、2023年～2028年、2033年

第6章 市場セグメンテーション

  • 世界の輸送におけるAI市場、コンポーネント別のセグメンテーション、実績および予測、2018-2023年、2023-2028年、2033年
  • ハードウェア
  • ソフトウェア
  • 世界の輸送におけるAI市場、プロセス別セグメンテーション、実績および予測、2018-2023年、2023-2028年、2033年
  • 信号認識
  • 物体認識
  • データマイニング
  • 世界の輸送におけるAI市場、テクノロジータイプ別セグメンテーション、実績および予測、2018-2023年、2023-2028年、2033年
  • 自然言語処理
  • 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
  • 世界の輸送におけるAI市場、用途別セグメンテーション、実績および予測、2018-2023年、2023-2028年、2033年
  • 半自動運転トラック
  • トラック隊列走行
  • 予知保全
  • 精度とマッピング
  • 自動運転トラック
  • マシンヒューマンインターフェース
  • その他の用途

第7章 地域および国の分析

  • 世界の輸送におけるAI市場、地域別、実績および予測、2018-2023年、2023-2028年、2033年
  • 世界の輸送におけるAI市場、国別、実績および予測、2018～2023年、2023～2028年、2033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

  • 市場競合情勢
  • 市場企業プロファイル
    • Volvo AB
    • Mercedes-Benz Group AG
    • Alphabet Inc.
    • Intel Corporation
    • NVIDIA Corporation

第31章 競合ベンチマーキング

第32章 競合ダッシュボード

第33章 主要な合併と買収

第34章 将来の見通しと可能性の分析

第35章 付録

目次
Product Code: r11479

“AI in Transportation Global Market Report 2024 ” from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

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

Reasons to Purchase

  • Gain a truly global perspective with the most comprehensive report available on this market covering 50+ geographies.
  • Understand how the market has been affected by the COVID-19 and how it is responding as the impact of the virus abates.
  • Assess the Russia - Ukraine war's impact on agriculture, energy and mineral commodity supply and its direct and indirect impact on the market.
  • Measure the impact of high global inflation on market growth.
  • Create regional and country strategies on the basis of local data and analysis.
  • Identify growth segments for investment.
  • Outperform competitors using forecast data and the drivers and trends shaping the market.
  • Understand customers based on the latest market shares.
  • Benchmark performance against key competitors.
  • Suitable for supporting your internal and external presentations with reliable high quality data and analysis
  • Report will be updated with the latest data and delivered to you within 3-5 working days of order along with an Excel data sheet for easy data extraction and analysis.
  • All data from the report will also be delivered in an excel dashboard format.

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

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

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

The impact of sanctions, supply chain disruptions, and altered demand for goods and services due to the Russian Ukraine war, impacting various macro-economic factors and parameters in the Eastern European region and its subsequent effect on global markets.

The impact of higher inflation in many countries and the resulting spike in interest rates.

The continued but declining impact of COVID-19 on supply chains and consumption patterns.

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

Scope

Markets Covered:

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

Executive Summary

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

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

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

The ai in transportation market size has grown rapidly in recent years. It will grow from $3.25 billion in 2023 to $3.86 billion in 2024 at a compound annual growth rate (CAGR) of 18.6%. The growth observed in the historical period can be attributed to several factors, including optimization in traffic management, advancements in autonomous vehicle development, the increasing demand for intelligent public transportation solutions, the implementation of predictive maintenance for vehicles, and the rise of smart infrastructure initiatives.

The ai in transportation market size is expected to see rapid growth in the next few years. It will grow to $7.62 billion in 2028 at a compound annual growth rate (CAGR) of 18.5%. The anticipated growth in the forecast period can be attributed to several factors, including the expansion of electric and connected vehicles, the integration of AI in urban mobility solutions, a focus on developing sustainable and smart cities, the incorporation of enhanced safety features, and the implementation of remote operations and monitoring systems. Noteworthy trends expected in the forecast period encompass advancements in AI algorithms and machine learning, government initiatives and regulations promoting AI in transportation, advancements in autonomous vehicles, the application of predictive maintenance with AI, and the integration of multimodal transportation systems.

The burgeoning number of vehicles is anticipated to drive the growth of the AI in transportation market. The rise in the vehicle count can be attributed to factors such as population growth, economic development, and limitations in public transportation infrastructure. AI plays a crucial role in optimizing traffic flow, mitigating congestion, and reducing travel times by analyzing real-time traffic data. This analysis allows for adjustments to signal timings and lane configurations. For example, as of March 2023, Hedges & Company reported a 0.9% increase in registered cars in the United States, rising from 286.9 million cars in 2020 to 289.5 million cars in 2021. Consequently, the escalating number of vehicles is a key driver propelling the growth of the AI in transportation market.

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

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

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

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

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

North America was the largest region in the AI in transportation market in 2023. The regions covered in the ai in transportation market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa

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

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

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

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

Table of Contents

1. Executive Summary

2. AI in Transportation Market Characteristics

3. AI in Transportation Market Trends And Strategies

4. AI in Transportation Market - Macro Economic Scenario

  • 4.1. Impact Of High Inflation On the Market
  • 4.2. Ukraine-Russia War Impact On the Market
  • 4.3. COVID-19 Impact On the Market

5. Global AI in Transportation Market Size and Growth

  • 5.1. Global AI in Transportation Market Drivers and Restraints
    • 5.1.1. Drivers Of The Market
    • 5.1.2. Restraints Of The Market
  • 5.2. Global AI in Transportation Historic Market Size and Growth, 2018 - 2023, Value ($ Billion)
  • 5.3. Global AI in Transportation Forecast Market Size and Growth, 2023 - 2028, 2033F, Value ($ Billion)

6. AI in Transportation Market Segmentation

  • 6.1. Global AI in Transportation Market, Segmentation By Components, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • Hardware
  • Software
  • 6.2. Global AI in Transportation Market, Segmentation By Process, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • Signal Recognition
  • Object Recognition
  • Data Mining
  • 6.3. Global AI in Transportation Market, Segmentation By Technology Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • Natural Language Processing
  • Deep Learning
  • Computer Vision
  • Context-Awareness
  • 6.4. Global AI in Transportation Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • Semi-Autonomous Truck
  • Truck Platooning
  • Predictive Maintenance
  • Precision And Mapping
  • Autonomous Truck
  • Machine Human Interface
  • Other Applications

7. AI in Transportation Market Regional And Country Analysis

  • 7.1. Global AI in Transportation Market, Split By Region, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 7.2. Global AI in Transportation Market, Split By Country, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

8. Asia-Pacific AI in Transportation Market

  • 8.1. Asia-Pacific AI in Transportation Market Overview
  • Region Information, Impact Of COVID-19, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 8.2. Asia-Pacific AI in Transportation Market, Segmentation By Components, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 8.3. Asia-Pacific AI in Transportation Market, Segmentation By Technology Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 8.4. Asia-Pacific AI in Transportation Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

9. China AI in Transportation Market

  • 9.1. China AI in Transportation Market Overview
  • 9.2. China AI in Transportation Market, Segmentation By Components, Historic and Forecast, 2018-2023, 2023-2028F, 2033F,$ Billion
  • 9.3. China AI in Transportation Market, Segmentation By Technology Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F,$ Billion
  • 9.4. China AI in Transportation Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F,$ Billion

10. India AI in Transportation Market

  • 10.1. India AI in Transportation Market, Segmentation By Components, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 10.2. India AI in Transportation Market, Segmentation By Technology Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 10.3. India AI in Transportation Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

11. Japan AI in Transportation Market

  • 11.1. Japan AI in Transportation Market Overview
  • 11.2. Japan AI in Transportation Market, Segmentation By Components, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 11.3. Japan AI in Transportation Market, Segmentation By Technology Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 11.4. Japan AI in Transportation Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

12. Australia AI in Transportation Market

  • 12.1. Australia AI in Transportation Market, Segmentation By Components, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 12.2. Australia AI in Transportation Market, Segmentation By Technology Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 12.3. Australia AI in Transportation Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

13. Indonesia AI in Transportation Market

  • 13.1. Indonesia AI in Transportation Market, Segmentation By Components, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 13.2. Indonesia AI in Transportation Market, Segmentation By Technology Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 13.3. Indonesia AI in Transportation Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

14. South Korea AI in Transportation Market

  • 14.1. South Korea AI in Transportation Market Overview
  • 14.2. South Korea AI in Transportation Market, Segmentation By Components, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 14.3. South Korea AI in Transportation Market, Segmentation By Technology Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 14.4. South Korea AI in Transportation Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

15. Western Europe AI in Transportation Market

  • 15.1. Western Europe AI in Transportation Market Overview
  • 15.2. Western Europe AI in Transportation Market, Segmentation By Components, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 15.3. Western Europe AI in Transportation Market, Segmentation By Technology Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 15.4. Western Europe AI in Transportation Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

16. UK AI in Transportation Market

  • 16.1. UK AI in Transportation Market, Segmentation By Components, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 16.2. UK AI in Transportation Market, Segmentation By Technology Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 16.3. UK AI in Transportation Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

17. Germany AI in Transportation Market

  • 17.1. Germany AI in Transportation Market, Segmentation By Components, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 17.2. Germany AI in Transportation Market, Segmentation By Technology Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 17.3. Germany AI in Transportation Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

18. France AI in Transportation Market

  • 18.1. France AI in Transportation Market, Segmentation By Components, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 18.2. France AI in Transportation Market, Segmentation By Technology Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 18.3. France AI in Transportation Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

19. Italy AI in Transportation Market

  • 19.1. Italy AI in Transportation Market, Segmentation By Components, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 19.2. Italy AI in Transportation Market, Segmentation By Technology Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 19.3. Italy AI in Transportation Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

20. Spain AI in Transportation Market

  • 20.1. Spain AI in Transportation Market, Segmentation By Components, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 20.2. Spain AI in Transportation Market, Segmentation By Technology Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 20.3. Spain AI in Transportation Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

21. Eastern Europe AI in Transportation Market

  • 21.1. Eastern Europe AI in Transportation Market Overview
  • 21.2. Eastern Europe AI in Transportation Market, Segmentation By Components, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 21.3. Eastern Europe AI in Transportation Market, Segmentation By Technology Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 21.4. Eastern Europe AI in Transportation Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

22. Russia AI in Transportation Market

  • 22.1. Russia AI in Transportation Market, Segmentation By Components, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 22.2. Russia AI in Transportation Market, Segmentation By Technology Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 22.3. Russia AI in Transportation Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

23. North America AI in Transportation Market

  • 23.1. North America AI in Transportation Market Overview
  • 23.2. North America AI in Transportation Market, Segmentation By Components, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 23.3. North America AI in Transportation Market, Segmentation By Technology Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 23.4. North America AI in Transportation Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

24. USA AI in Transportation Market

  • 24.1. USA AI in Transportation Market Overview
  • 24.2. USA AI in Transportation Market, Segmentation By Components, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 24.3. USA AI in Transportation Market, Segmentation By Technology Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 24.4. USA AI in Transportation Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

25. Canada AI in Transportation Market

  • 25.1. Canada AI in Transportation Market Overview
  • 25.2. Canada AI in Transportation Market, Segmentation By Components, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 25.3. Canada AI in Transportation Market, Segmentation By Technology Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 25.4. Canada AI in Transportation Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

26. South America AI in Transportation Market

  • 26.1. South America AI in Transportation Market Overview
  • 26.2. South America AI in Transportation Market, Segmentation By Components, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 26.3. South America AI in Transportation Market, Segmentation By Technology Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 26.4. South America AI in Transportation Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

27. Brazil AI in Transportation Market

  • 27.1. Brazil AI in Transportation Market, Segmentation By Components, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 27.2. Brazil AI in Transportation Market, Segmentation By Technology Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 27.3. Brazil AI in Transportation Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

28. Middle East AI in Transportation Market

  • 28.1. Middle East AI in Transportation Market Overview
  • 28.2. Middle East AI in Transportation Market, Segmentation By Components, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 28.3. Middle East AI in Transportation Market, Segmentation By Technology Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 28.4. Middle East AI in Transportation Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

29. Africa AI in Transportation Market

  • 29.1. Africa AI in Transportation Market Overview
  • 29.2. Africa AI in Transportation Market, Segmentation By Components, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 29.3. Africa AI in Transportation Market, Segmentation By Technology Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 29.4. Africa AI in Transportation Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

30. AI in Transportation Market Competitive Landscape And Company Profiles

  • 30.1. AI in Transportation Market Competitive Landscape
  • 30.2. AI in Transportation Market Company Profiles
    • 30.2.1. Volvo AB
      • 30.2.1.1. Overview
      • 30.2.1.2. Products and Services
      • 30.2.1.3. Strategy
      • 30.2.1.4. Financial Performance
    • 30.2.2. Mercedes-Benz Group AG
      • 30.2.2.1. Overview
      • 30.2.2.2. Products and Services
      • 30.2.2.3. Strategy
      • 30.2.2.4. Financial Performance
    • 30.2.3. Alphabet Inc.
      • 30.2.3.1. Overview
      • 30.2.3.2. Products and Services
      • 30.2.3.3. Strategy
      • 30.2.3.4. Financial Performance
    • 30.2.4. Intel Corporation
      • 30.2.4.1. Overview
      • 30.2.4.2. Products and Services
      • 30.2.4.3. Strategy
      • 30.2.4.4. Financial Performance
    • 30.2.5. NVIDIA Corporation
      • 30.2.5.1. Overview
      • 30.2.5.2. Products and Services
      • 30.2.5.3. Strategy
      • 30.2.5.4. Financial Performance

31. Global AI in Transportation Market Competitive Benchmarking

32. Global AI in Transportation Market Competitive Dashboard

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

34. AI in Transportation Market Future Outlook and Potential Analysis

  • 34.1 AI in Transportation Market In 2028 - Countries Offering Most New Opportunities
  • 34.2 AI in Transportation Market In 2028 - Segments Offering Most New Opportunities
  • 34.3 AI in Transportation Market In 2028 - Growth Strategies
    • 34.3.1 Market Trend Based Strategies
    • 34.3.2 Competitor Strategies

35. Appendix

  • 35.1. Abbreviations
  • 35.2. Currencies
  • 35.3. Historic And Forecast Inflation Rates
  • 35.4. Research Inquiries
  • 35.5. The Business Research Company
  • 35.6. Copyright And Disclaimer