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1433438

輸送向けAI（人工知能）の世界市場：2023-2030年

Global Artificial Intelligence (AI) in Transportation Market 2023-2030
出版日: | 発行: Orion Market Research | ページ情報: 英文 190 Pages | 納期: 2～3営業日

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輸送向けAI（人工知能）の世界市場：2023-2030年
出版日: 2024年01月08日
発行: Orion Market Research
ページ情報: 英文 190 Pages
納期: 2～3営業日
  • 全表示
  • 概要
  • 図表
  • 目次
概要

世界の輸送向けAI（人工知能）市場は、予測期間（2024-2031年）にCAGR 12.1％で成長すると予測されます。機械学習モデルの改善によるジェネレーティブAIの採用拡大が、世界の市場の成長を支える主要因となっています。コネクテッドトランスポーテーションの展望におけるジェネレーティブAIの影響は、人工知能と機械学習モデルを活用したデータインテリジェンスとAIにおいて認識されています。市場プレーヤーはまた、市場成長をさらに強化する輸送向けAIベースのジェネレーティブソリューションの導入に注力しています。例えば、2023年6月、Geotab Inc.は、コネクテッドトランスポーテーション業界に新たな機械学習モデルを設定することで、同社のプラットフォームにジェネレーティブAIモデルを導入したと発表しました。消費者が自動車の効率性、持続可能性、性能に関するオンデマンド情報に簡単にアクセスできるようにすることで、コネクテッドトランスポーテーションの基準を高めます。

セグメント別展望

自動車テレマティクスのサブセグメントが世界の運輸AI市場でかなりのシェアを占めると予測される

アプリケーションの中でも、自動車テレマティクスのサブセグメントは、世界の輸送向けAI市場でかなりのシェアを占めると予想されます。このセグメントの成長は、輸送フリートオペレーター向けのAIベースの統合ソリューションの採用が増加していることに起因しています。輸送車両オペレーターは、車両をエネルギーや混合燃料の運用に転換し、コンプライアンス、生産性、安全性の向上に取り組んでいます。例えば、Teletrac Navman US Ltd.は2023年10月、輸送業界のニーズに焦点を当てたAIベースの統合ソリューションTN360 Transportを発表しました。このプラットフォームは、車両運行の持続可能性の向上、コンプライアンス基準の保証、運行の迅速化、安全性の向上を目的とした効果的な機能を幅広く提供しています。

地域別展望

世界の輸送向けAI市場は、北米（米国、カナダ）、欧州（英国、イタリア、スペイン、ドイツ、フランス、その他欧州地域）、アジア太平洋地域（インド、中国、日本、韓国、その他アジア地域）、世界のその他の地域（中東とアフリカ、ラテンアメリカ）を含む地域別にさらに区分されます。このうち、アジア太平洋地域は、交通渋滞の最小化、乗客の安全性の向上、事故リスクの低減を目的とした交通機関へのAIの導入が進んでいることから、世界全体で突出したシェアを占めると予想されます。

北米地域は世界の輸送向けAI市場において著しいCAGRで成長する見込み

すべての地域の中で、北米地域は予測期間中にかなりのCAGRで成長すると予測されています。地域の成長は、輸送を最適化し、輸送システムの全体的な効率を向上させるために、AIベースの技術の採用が増加していることに起因しています。市場プレーヤーは、交通安全の改善、交通信号タイミングの最適化、ラストマイル配送の強化、市場洞察の提供によって、技術ベースの輸送ソリューションを提供しています。例えば、2023年11月、INRIX, Inc.は、輸送インテリジェンスのための革新的なAI搭載技術であるINRIX Compassを発表しました。Compassは、ジェネレーティブAI（GenAI）とINRIXの約50ペタバイトのデータレイクを採用し、根本原因を特定し、積極的な提案を行い、交通関連の問題に効果的に対処します。

目次

第1章 レポート概要

  • 業界の現状分析と成長ポテンシャルの展望
  • 調査方法とツール
  • 市場内訳
    • セグメント別
    • 地域別

第2章 市場概要と洞察

  • 調査範囲
  • アナリストの洞察と現在の市場動向
    • 主な調査結果
    • 推奨事項
    • 結論

第3章 競合情勢

  • 主要企業分析
  • Aurora Innovation Inc.
    • 概要
    • 財務分析
    • SWOT分析
    • 最近の動向
  • Intel Corp.
    • 会社概要
    • 財務分析
    • SWOT分析
    • 最近の動向
  • NVIDIA Corp.
    • 概要
    • 財務分析
    • SWOT分析
    • 最近の動向
  • 主要戦略分析

第4章 市場セグメンテーション

  • 輸送向けAIの世界市場：製品別
    • ハードウェア
    • ソフトウェア
  • 輸送向けAIの世界市場：プロセス別
    • 信号認識
    • 物体認識
    • データマイニング
  • 輸送向けAIの世界市場：アプリケーション別
    • 交通管理
    • 交通安全とセキュリティ
    • 駐車場管理
    • 自動車テレマティクス
    • その他（ナンバープレート認識）

第5章 地域分析

  • 北米
    • 米国
    • カナダ
  • 欧州
    • 英国
    • ドイツ
    • イタリア
    • スペイン
    • フランス
    • その他欧州
  • アジア太平洋
    • 中国
    • インド
    • 日本
    • 韓国
    • その他アジア太平洋地域
  • 世界のその他の地域

第6章 企業プロファイル

  • A.I. Tech srl
  • AltexSoft Inc.
  • Aptiv PLC
  • Aurora Innovation Inc.
  • Embark Trucks, Inc.
  • Ericsson Group
  • General Motors
  • Kyndryl Inc.
  • Mobileye Global Inc.
  • Nuro, Inc.
  • Oxa Autonomy Ltd.
  • PlusAI, Inc.
  • Pony.ai
  • PTV Planung Transport Verkehr GmbH
  • Tesla, Inc.
  • TuSimple Holdings, Inc.
  • Uber Technologies Inc.
  • Waymo LLC
図表

LIST OF TABLES

  • 1. GLOBAL AI IN TRANSPORTATION MARKET RESEARCH AND ANALYSIS BY OFFERING, 2023-2031 ($ MILLION)
  • 2. GLOBAL AI HARDWARE IN TRANSPORTATION MARKET RESEARCH AND ANALYSIS BY REGION, 2023-2031 ($ MILLION)
  • 3. GLOBAL AI SOFTWARE IN TRANSPORTATION MARKET RESEARCH AND ANALYSIS BY REGION, 2023-2031 ($ MILLION)
  • 4. GLOBAL AI IN TRANSPORTATION MARKET RESEARCH AND ANALYSIS BY PROCESS, 2023-2031 ($ MILLION)
  • 5. GLOBAL AI IN SIGNAL RECOGNITION MARKET RESEARCH AND ANALYSIS BY REGION, 2023-2031 ($ MILLION)
  • 6. GLOBAL AI IN OBJECT RECOGNITION MARKET RESEARCH AND ANALYSIS BY REGION, 2023-2031 ($ MILLION)
  • 7. GLOBAL AI IN DATA MINING MARKET RESEARCH AND ANALYSIS BY REGION, 2023-2031 ($ MILLION)
  • 8. GLOBAL AI IN TRANSPORTATION MARKET RESEARCH AND ANALYSIS BY APPLICATION, 2023-2031 ($ MILLION)
  • 9. GLOBAL AI IN TRAFFIC MANAGEMENT MARKET RESEARCH AND ANALYSIS BY REGION, 2023-2031 ($ MILLION)
  • 10. GLOBAL AI IN ROAD SAFETY AND SECURITY MARKET RESEARCH AND ANALYSIS BY REGION, 2023-2031 ($ MILLION)
  • 11. GLOBAL AI IN PARKING MANAGEMENT MARKET RESEARCH AND ANALYSIS BY REGION, 2023-2031 ($ MILLION)
  • 12. GLOBAL AI IN AUTOMOTIVE TELEMATICS MARKET RESEARCH AND ANALYSIS BY REGION, 2023-2031 ($ MILLION)
  • 13. GLOBAL AI IN OTHER TRANSPORTATION APPLICATION MARKET RESEARCH AND ANALYSIS BY REGION, 2023-2031 ($ MILLION)
  • 14. GLOBAL AI IN TRANSPORTATION MARKET RESEARCH AND ANALYSIS BY REGION, 2023-2031 ($ MILLION)
  • 15. NORTH AMERICAN AI IN TRANSPORTATION MARKET RESEARCH AND ANALYSIS BY COUNTRY, 2023-2031 ($ MILLION)
  • 16. NORTH AMERICAN AI IN TRANSPORTATION MARKET RESEARCH AND ANALYSIS BY OFFERING, 2023-2031 ($ MILLION)
  • 17. NORTH AMERICAN AI IN TRANSPORTATION MARKET RESEARCH AND ANALYSIS BY PROCESS, 2023-2031 ($ MILLION)
  • 18. NORTH AMERICAN AI IN TRANSPORTATION MARKET RESEARCH AND ANALYSIS BY APPLICATION, 2023-2031 ($ MILLION)
  • 19. EUROPEAN AI IN TRANSPORTATION MARKET RESEARCH AND ANALYSIS BY COUNTRY, 2023-2031 ($ MILLION)
  • 20. EUROPEAN AI IN TRANSPORTATION MARKET RESEARCH AND ANALYSIS BY OFFERING, 2023-2031 ($ MILLION)
  • 21. EUROPEAN AI IN TRANSPORTATION MARKET RESEARCH AND ANALYSIS BY PROCESS, 2023-2031 ($ MILLION)
  • 22. EUROPEAN AI IN TRANSPORTATION MARKET RESEARCH AND ANALYSIS BY APPLICATION, 2023-2031 ($ MILLION)
  • 23. ASIA-PACIFIC AI IN TRANSPORTATION MARKET RESEARCH AND ANALYSIS BY COUNTRY, 2023-2031 ($ MILLION)
  • 24. ASIA-PACIFIC AI IN TRANSPORTATION MARKET RESEARCH AND ANALYSIS BY OFFERING, 2023-2031 ($ MILLION)
  • 25. ASIA-PACIFIC AI IN TRANSPORTATION MARKET RESEARCH AND ANALYSIS BY PROCESS, 2023-2031 ($ MILLION)
  • 26. ASIA-PACIFIC AI IN TRANSPORTATION MARKET RESEARCH AND ANALYSIS BY APPLICATION, 2023-2031 ($ MILLION)
  • 27. REST OF THE WORLD AI IN TRANSPORTATION MARKET RESEARCH AND ANALYSIS BY REGION, 2023-2031 ($ MILLION)
  • 28. REST OF THE WORLD AI IN TRANSPORTATION MARKET RESEARCH AND ANALYSIS BY OFFERING, 2023-2031 ($ MILLION)
  • 29. REST OF THE WORLD AI IN TRANSPORTATION MARKET RESEARCH AND ANALYSIS BY PROCESS, 2023-2031 ($ MILLION)
  • 30. REST OF THE WORLD AI IN TRANSPORTATION MARKET RESEARCH AND ANALYSIS BY APPLICATION, 2023-2031 ($ MILLION)

LIST OF FIGURES

  • 1. GLOBAL AI IN TRANSPORTATION MARKET RESEARCH AND ANALYSIS BY OFFERING, 2023 VS 2031 (%)
  • 2. GLOBAL AI HARDWARE IN TRANSPORTATION MARKET RESEARCH AND ANALYSIS BY REGION, 2023 VS 2031 (%)
  • 3. GLOBAL AI SOFTWARE IN TRANSPORTATION MARKET RESEARCH AND ANALYSIS BY REGION, 2023 VS 2031 (%)
  • 4. GLOBAL AI IN TRANSPORTATION MARKET RESEARCH AND ANALYSIS BY PROCESS, 2023 VS 2031 (%)
  • 5. GLOBAL AI IN SIGNAL RECOGNITION MARKET RESEARCH AND ANALYSIS BY REGION, 2023 VS 2031 (%)
  • 6. GLOBAL AI IN OBJECT RECOGNITION MARKET RESEARCH AND ANALYSIS BY REGION, 2023 VS 2031 (%)
  • 7. GLOBAL AI IN DATA MINING MARKET RESEARCH AND ANALYSIS BY REGION, 2023 VS 2031 (%)
  • 8. GLOBAL AI IN TRANSPORTATION MARKET RESEARCH AND ANALYSIS BY APPLICATION, 2023 VS 2031 (%)
  • 9. GLOBAL AI IN ROAD SAFETY AND SECURITY MARKET RESEARCH AND ANALYSIS BY REGION, 2023 VS 2031 (%)
  • 10. GLOBAL AI IN PARKING MANAGEMENT MARKET RESEARCH AND ANALYSIS BY REGION, 2023 VS 2031 (%)
  • 11. GLOBAL AI IN AUTOMOTIVE TELEMATICS MARKET RESEARCH AND ANALYSIS BY REGION, 2023 VS 2031 (%)
  • 12. GLOBAL AI IN OTHER TRANSPORTATION APPLICATION MARKET RESEARCH AND ANALYSIS BY REGION, 2023 VS 2031 (%)
  • 13. GLOBAL AI IN TRANSPORTATION MARKET RESEARCH AND ANALYSIS BY REGION, 2023 VS 2031 (%)
  • 14. US AI IN TRANSPORTATION MARKET SIZE, 2023-2031 ($ MILLION)
  • 15. CANADA AI IN TRANSPORTATION MARKET SIZE, 2023-2031 ($ MILLION)
  • 16. UK AI IN TRANSPORTATION MARKET SIZE, 2023-2031 ($ MILLION)
  • 17. FRANCE AI IN TRANSPORTATION MARKET SIZE, 2023-2031 ($ MILLION)
  • 18. GERMANY AI IN TRANSPORTATION MARKET SIZE, 2023-2031 ($ MILLION)
  • 19. ITALY AI IN TRANSPORTATION MARKET SIZE, 2023-2031 ($ MILLION)
  • 20. SPAIN AI IN TRANSPORTATION MARKET SIZE, 2023-2031 ($ MILLION)
  • 21. REST OF EUROPE AI IN TRANSPORTATION MARKET SIZE, 2023-2031 ($ MILLION)
  • 22. INDIA AI IN TRANSPORTATION MARKET SIZE, 2023-2031 ($ MILLION)
  • 23. CHINA AI IN TRANSPORTATION MARKET SIZE, 2023-2031 ($ MILLION)
  • 24. JAPAN AI IN TRANSPORTATION MARKET SIZE, 2023-2031 ($ MILLION)
  • 25. SOUTH KOREA AI IN TRANSPORTATION MARKET SIZE, 2023-2031 ($ MILLION)
  • 26. REST OF ASIA-PACIFIC AI IN TRANSPORTATION MARKET SIZE, 2023-2031 ($ MILLION)
  • 27. REST OF THE WORLD AI IN TRANSPORTATION MARKET SIZE, 2023-2031 ($ MILLION)
目次
Product Code: OMR2028095

Global AI in Transportation Market Size, Share & Trends Analysis Report by Offering (Hardware and Software), by Process (Signal Recognition, Object Recognition, and Data Mining), and by Application (Traffic Management, Road Safety and Security, Parking Management, Automotive Telematics and Other), Forecast Period (2024-2031)

The global AI in transportation market is anticipated to grow at a CAGR of 12.1% during the forecast period (2024-2031). The growing adoption of generative AI with improving machine learning models is the key factor supporting the growth of the market globally. The impact of generative AI in the connected transportation landscape has been recognized in data intelligence and AI, leveraging artificial intelligence and machine learning models. The market players are also focusing on introducing AI-based generative solutions in transportation that further bolster the market growth. For instance, in June 2023, Geotab Inc. announced that it introduced generative AI models into its platform by setting a new machine learning models in the connected transportation industry. By increasing the standard for connected transportation by giving participating consumers easy access to on-demand information about the efficiency, sustainability, and performance of their vehicles.

Segmental Outlook

The global AI in transportation market is segmented on the offering, process, and application. Based on the offering, the market is sub-segmented into hardware and software. Based on the process, the market is sub-segmented into signal recognition, object recognition, and data mining. Further, based on application, the market is sub-segmented into traffic management, road safety and security, parking management, automotive telematics, and other applications (license plate recognition). Among the offerings, the software sub-segment is anticipated to hold a considerable share of the market owing to the development of advanced software for predictive fleet maintenance using IoT and AI technologies.

The Automotive Telematics Sub-Segment is Anticipated to Hold a Considerable Share of the Global AI in Transportation Market

Among the applications, the automotive telematics sub-segment is expected to hold a considerable share of the global AI in the transportation market. The segmental growth is attributed to the increasing adoption of AI-based integrated solutions for transportation fleet operators. Transportation fleet operators convert their fleets into energy and mixed fuel operations and work to improve compliance, productivity, and safety. For instance, in October 2023, Teletrac Navman US Ltd. launched TN360 Transport- an AI-based integrated solution focused on the needs of the transport industry. The platform provides a wide range of effective features that are intended to improve fleet operations' sustainability, assure compliance standards, expedite operations, and improve safety.

Regional Outlook

The global AI in transportation market is further segmented based on geography including North America (the US, and Canada), Europe (UK, Italy, Spain, Germany, France, and the Rest of Europe), Asia-Pacific (India, China, Japan, South Korea, and Rest of Asia), and the Rest of the World (the Middle East & Africa, and Latin America). Among these, Asia-Pacific is anticipated to hold a prominent share of the market across the globe, owing to the growing adoption of AI in transportation to minimize traffic congestion, increase passenger safety, and reduce the risk of accidents.

The North America Region is Expected to Grow at a Significant CAGR in the Global AI in Transportation Market

Among all regions, the North American region is anticipated to grow at a considerable CAGR over the forecast period. Regional growth is attributed to the growing adoption of AI-based technology to optimize transportation and improve the overall efficiency of the transportation system. Market players provide technology-based transportation solutions by improving road safety, optimizing traffic signal timing, enhancing last-mile delivery, and providing market insights. For instance, in November 2023, INRIX, Inc. launched INRIX Compass, an innovative AI-powered technology for transportation intelligence. Compass employs generative artificial intelligence (GenAI) and INRIX's roughly 50-petabyte data lake to identify root causes, provide proactive recommendations, and effectively handle transportation-related issues.

Market Players Outlook

The major companies serving the global AI in the transportation market include AltexSoft Inc., Aurora Innovation Inc., General Motors, Intel Corp., NVIDIA Corp., and others. The market players are considerably contributing to the market growth by the adoption of various strategies including mergers and acquisitions, partnerships, collaborations, funding, and new product launches, to stay competitive in the market. For instance, in June 2021, Cubic Corp. announced its Cubic Transportation Systems (CTS) business division partnership with CVEDIA scale deep learning models for GRIDSMART omnidirectional cameras and other intelligent transportation systems (ITS) solutions.

The Report Covers:

  • Market value data analysis of 2023 and forecast to 2031.
  • Annualized market revenues ($ million) for each market segment.
  • Country-wise analysis of major geographical regions.
  • Key companies operating in the global AI in transportation market. Based on the availability of data, information related to new product launches, and relevant news is also available in the report.
  • Analysis of business strategies by identifying the key market segments positioned for strong growth in the future.
  • Analysis of market-entry and market expansion strategies.
  • Competitive strategies by identifying 'who-stands-where' in the market.

Table of Contents

1. Report Summary

  • Current Industry Analysis and Growth Potential Outlook
  • 1.1. Research Methods and Tools
  • 1.2. Market Breakdown
    • 1.2.1. By Segments
    • 1.2.2. By Region

2. Market Overview and Insights

  • 2.1. Scope of the Report
  • 2.2. Analyst Insight & Current Market Trends
    • 2.2.1. Key Findings
    • 2.2.2. Recommendations
    • 2.2.3. Conclusion

3. Competitive Landscape

  • 3.1. Key Company Analysis
  • 3.2. Aurora Innovation Inc.
    • 3.2.1. Overview
    • 3.2.2. Financial Analysis
    • 3.2.3. SWOT Analysis
    • 3.2.4. Recent Developments
  • 3.3. Intel Corp.
    • 3.3.1. Overview
    • 3.3.2. Financial Analysis
    • 3.3.3. SWOT Analysis
    • 3.3.4. Recent Developments
  • 3.4. NVIDIA Corp.
    • 3.4.1. Overview
    • 3.4.2. Financial Analysis
    • 3.4.3. SWOT Analysis
    • 3.4.4. Recent Developments
  • 3.5. Key Strategy Analysis

4. Market Segmentation

  • 4.1. Global AI in Transportation Market by Offering
    • 4.1.1. Hardware
    • 4.1.2. Software
  • 4.2. Global AI in Transportation Market by Process
    • 4.2.1. Signal Recognition
    • 4.2.2. Object Recognition
    • 4.2.3. Data Mining
  • 4.3. Global AI in Transportation Market by Application
    • 4.3.1. Traffic Management
    • 4.3.2. Road Safety and Security
    • 4.3.3. Parking Management
    • 4.3.4. Automotive Telematics
    • 4.3.5. Other Applications (License Plate Recognition)

5. Regional Analysis

  • 5.1. North America
    • 5.1.1. United States
    • 5.1.2. Canada
  • 5.2. Europe
    • 5.2.1. UK
    • 5.2.2. Germany
    • 5.2.3. Italy
    • 5.2.4. Spain
    • 5.2.5. France
    • 5.2.6. Rest of Europe
  • 5.3. Asia-Pacific
    • 5.3.1. China
    • 5.3.2. India
    • 5.3.3. Japan
    • 5.3.4. South Korea
    • 5.3.5. Rest of Asia-Pacific
  • 5.4. Rest of the World

6. Company Profiles

  • 6.1. A.I. Tech srl
  • 6.2. AltexSoft Inc.
  • 6.3. Aptiv PLC
  • 6.4. Aurora Innovation Inc.
  • 6.5. Embark Trucks, Inc.
  • 6.6. Ericsson Group
  • 6.7. General Motors
  • 6.8. Kyndryl Inc.
  • 6.9. Mobileye Global Inc.
  • 6.10. Nuro, Inc.
  • 6.11. Oxa Autonomy Ltd.
  • 6.12. PlusAI, Inc.
  • 6.13. Pony.ai
  • 6.14. PTV Planung Transport Verkehr GmbH
  • 6.15. Tesla, Inc.
  • 6.16. TuSimple Holdings, Inc.
  • 6.17. Uber Technologies Inc.
  • 6.18. Waymo LLC