輸送における人工知能市場：コンポーネント、テクノロジー、アプリケーション別-2025-2030年の世界予測

輸送における人工知能市場は、2023年に22億5,000万米ドルと評価され、2024年には25億2,000万米ドルに達すると予測され、CAGR 13.67％で成長し、2030年には55億2,000万米ドルに達すると予測されています。

輸送における人工知能（AI）の範囲は、物流、自動車、公共交通機関、交通管理など、さまざまな分野にわたる統合を含みます。この文脈におけるAIの定義は、輸送システムにおける効率性、安全性、意思決定プロセスを改善するための計算アルゴリズムや機械学習モデルの使用にまで及ぶ。AIは、自律走行車、予知保全、ルート最適化、交通流管理のためのリアルタイム・データ分析などのアプリケーションを提供し、現代の輸送需要の複雑さに対処するために必要です。最終用途分野には、自動車メーカー、ロジスティクス・サービス・プロバイダー、都市計画業者、インフラ開発業者などが含まれます。この市場の成長に影響を与える主な要因は、機械学習機能の進歩、自動車大手による投資の増加、ヒューマンエラーに関連する事故を減らす必要性の高まりです。また、V2X（Vehicle-to-Everything）通信や持続可能な交通ソリューションを強化できるAIプラットフォームの開発にもビジネスチャンスが存在します。

市場成長に影響を与える課題には、AI導入に伴う高コストや多額のインフラ投資の必要性などがあります。また、データプライバシーに関する懸念や厳しい規制の枠組みも障壁となっています。さらに、市場はレガシーシステムへの技術統合に関する問題や、AIシステムを管理する熟練者の不足にも直面しています。しかし、電気自動車や自律走行車を目指す動きは、特に電気自動車（EV）充電のためのスマートグリッド技術に組み込まれたAIシステムに技術革新の道を開く。スマートシティと統合された交通ネットワークへの重点の高まりは、さらなる研究の展望を提供します。こうした機会を活用するため、利害関係者は政府、技術プロバイダー、学術機関を含む共同エコシステムに焦点を当てるべきです。人材育成への投資と規制上のハードルの克服が極めて重要になります。市場の性質はダイナミックで急速に進化しており、継続的な技術の進歩と規制の調整によって特徴付けられ、継続的な調査と適応戦略が必要となります。これらの分野に優先順位をつけることで、プレーヤーは弾力性を養い、輸送用AIの新たな動向を活用することができます。

市場力学：急速に進化する輸送における人工知能市場の主要市場インサイトを公開

輸送における人工知能市場は、需要と供給のダイナミックな相互作用によって変貌を遂げています。このような市場力学の進化を理解することで、企業は十分な情報に基づいた投資決定、戦略的決定の精緻化、そして新たなビジネスチャンスの獲得に備えることができます。こうした動向を包括的に把握することで、企業は政治的、地理的、技術的、社会的、経済的な領域にわたる様々なリスクを軽減することができるとともに、消費者行動とそれが製造コストや購買動向に与える影響についてより明確に理解することができます。

• 市場促進要因
  • 世界の自律走行車導入の急増
  • 強化された輸送ソリューションに対する需要の高まり
  • 輸送における先進技術の採用を奨励する政府の取り組み
• 市場抑制要因
  • AIベースの輸送ソリューションの高い初期投資と導入コスト
• 市場機会
  • 輸送におけるAIを活用した予知保全の採用
  • 公共交通機関での新たな利用
• 市場の課題
  • AIベースの輸送ソリューションにおける相互運用性と互換性の問題

ポーターのファイブフォース：輸送における人工知能市場をナビゲートする戦略ツール

ポーターのファイブフォースフレームワークは、市場情勢の競合情勢を理解するための重要なツールです。ポーターのファイブフォース・フレームワークは、企業の競争力を評価し、戦略的機会を探るための明確な手法を提供します。このフレームワークは、企業が市場内の勢力図を評価し、新規事業の収益性を判断するのに役立ちます。これらの洞察により、企業は自社の強みを活かし、弱みに対処し、潜在的な課題を回避することができ、より強靭な市場でのポジショニングを確保することができます。

PESTLE分析：輸送における人工知能市場における外部からの影響の把握

外部マクロ環境要因は、輸送における人工知能市場の業績ダイナミクスを形成する上で極めて重要な役割を果たします。政治的、経済的、社会的、技術的、法的、環境的要因の分析は、これらの影響をナビゲートするために必要な情報を提供します。PESTLE要因を調査することで、企業は潜在的なリスクと機会をよりよく理解することができます。この分析により、企業は規制、消費者の嗜好、経済動向の変化を予測し、先を見越した積極的な意思決定を行う準備ができます。

市場シェア分析輸送における人工知能市場における競合情勢の把握

輸送における人工知能市場の詳細な市場シェア分析により、ベンダーの業績を包括的に評価することができます。企業は、収益、顧客ベース、成長率などの主要指標を比較することで、競争上のポジショニングを明らかにすることができます。この分析により、市場の集中、断片化、統合の動向が明らかになり、ベンダーは競争が激化する中で自社の地位を高める戦略的意思決定を行うために必要な知見を得ることができます。

FPNVポジショニング・マトリックス輸送における人工知能市場におけるベンダーのパフォーマンス評価

FPNVポジショニングマトリックスは、輸送における人工知能市場においてベンダーを評価するための重要なツールです。このマトリックスにより、ビジネス組織はベンダーのビジネス戦略と製品満足度に基づき評価することで、目標に沿った十分な情報に基づいた意思決定を行うことができます。4つの象限によってベンダーを明確かつ正確にセグメント化し、戦略目標に最適なパートナーやソリューションを特定することができます。

戦略分析と推奨輸送における人工知能市場における成功への道筋を描く

輸送における人工知能市場の戦略分析は、世界市場でのプレゼンス強化を目指す企業にとって不可欠です。主要なリソース、能力、業績指標を見直すことで、企業は成長機会を特定し、改善に取り組むことができます。このアプローチにより、競合情勢における課題を克服し、新たなビジネスチャンスを活かして長期的な成功を収めるための体制を整えることができます。

本レポートでは、主要な注目分野を網羅した市場の包括的な分析を提供しています：

1.市場の浸透度：現在の市場環境の詳細なレビュー、主要企業による広範なデータ、市場でのリーチと全体的な影響力の評価。

2.市場の開拓度：新興市場における成長機会を特定し、既存分野における拡大可能性を評価し、将来の成長に向けた戦略的ロードマップを提供します。

3.市場の多様化：最近の製品発売、未開拓の地域、業界の主要な進歩、市場を形成する戦略的投資を分析します。

4.競合の評価と情報：競合情勢を徹底的に分析し、市場シェア、事業戦略、製品ポートフォリオ、認証、規制当局の承認、特許動向、主要企業の技術進歩などを検証します。

5.製品開発およびイノベーション：将来の市場成長を促進すると期待される最先端技術、研究開発活動、製品イノベーションをハイライトしています。

また、利害関係者が十分な情報を得た上で意思決定できるよう、重要な質問にも答えています：

1.現在の市場規模と今後の成長予測は？

2.最高の投資機会を提供する製品、セグメント、地域はどこか？

3.市場を形成する主な技術動向と規制の影響とは？

4.主要ベンダーの市場シェアと競合ポジションは？

5.ベンダーの市場参入・撤退戦略の原動力となる収益源と戦略的機会は何か？

目次

第1章 序文

第2章 調査手法

第3章 エグゼクティブサマリー

第4章 市場の概要

第5章 市場洞察

• 市場力学
  • 促進要因
    • 世界中で自動運転車の導入が急増
    • 強化された輸送ソリューションに対する需要の高まり
    • 交通における先進技術の導入を促進する政府の取り組み
  • 抑制要因
    • AIベースの交通ソリューションの初期投資と導入コストが高い
  • 機会
    • 輸送におけるAIを活用した予知保全の導入
    • 公共交通機関における新たな利用
  • 課題
    • AIベースの交通ソリューションにおける相互運用性と互換性の問題
• 市場セグメンテーション分析
• ポーターのファイブフォース分析
• PESTEL分析
  • 政治的
  • 経済
  • 社交
  • 技術的
  • 法律上
  • 環境

第6章 輸送における人工知能市場：コンポーネント別

• ハードウェア
• サービス
• ソフトウェア

第7章 輸送における人工知能市場：技術別

• コンピュータビジョン
• コンテキスト認識
• ディープラーニング
• 自然言語処理

第8章 輸送における人工知能市場：用途別

• 自動ナンバープレート認識
• コンピュータビジョンを活用した駐車場管理
• 歩行者検知
• 道路状況監視
• 自動運転車
• トラフィック検出
• 交通流解析

第9章 南北アメリカの輸送における人工知能市場

• アルゼンチン
• ブラジル
• カナダ
• メキシコ
• 米国

第10章 アジア太平洋地域の輸送における人工知能市場

• オーストラリア
• 中国
• インド
• インドネシア
• 日本
• マレーシア
• フィリピン
• シンガポール
• 韓国
• 台湾
• タイ
• ベトナム

第11章 欧州・中東・アフリカの輸送における人工知能市場

• デンマーク
• エジプト
• フィンランド
• フランス
• ドイツ
• イスラエル
• イタリア
• オランダ
• ナイジェリア
• ノルウェー
• ポーランド
• カタール
• ロシア
• サウジアラビア
• 南アフリカ
• スペイン
• スウェーデン
• スイス
• トルコ
• アラブ首長国連邦
• 英国

第12章 競合情勢

• 市場シェア分析2023
• FPNVポジショニングマトリックス, 2023
• 競合シナリオ分析
• 戦略分析と提言

企業一覧

• AB Volvo
• Aptiv Global Operations Limited
• Aurora Innovation Inc.
• Baidu Apoll
• Bosch Security Systems, LLC.
• Continental AG
• Embark Trucks, Inc.
• Innoviz Technologies Ltd.
• Intel Corporation
• International Business Machines Corporation
• Microsoft Corporation
• Nuro, Inc.
• NVIDIA Corporation
• PlusAI, Inc.
• Pony.ai, Inc.
• Scania CV AB by Volkswagen Group
• The Mercedes-Benz Group AG
• TuSimple
• Waymo LLC
• ZF Friedrichshafen AG

LIST OF FIGURES

• FIGURE 1. ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET RESEARCH PROCESS
• FIGURE 2. ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, 2023 VS 2030
• FIGURE 3. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, 2018-2030 (USD MILLION)
• FIGURE 4. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY REGION, 2023 VS 2024 VS 2030 (USD MILLION)
• FIGURE 5. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
• FIGURE 6. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY COMPONENT, 2023 VS 2030 (%)
• FIGURE 7. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY COMPONENT, 2023 VS 2024 VS 2030 (USD MILLION)
• FIGURE 8. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY TECHNOLOGY, 2023 VS 2030 (%)
• FIGURE 9. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY TECHNOLOGY, 2023 VS 2024 VS 2030 (USD MILLION)
• FIGURE 10. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY APPLICATION, 2023 VS 2030 (%)
• FIGURE 11. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY APPLICATION, 2023 VS 2024 VS 2030 (USD MILLION)
• FIGURE 12. AMERICAS ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
• FIGURE 13. AMERICAS ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
• FIGURE 14. UNITED STATES ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY STATE, 2023 VS 2030 (%)
• FIGURE 15. UNITED STATES ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY STATE, 2023 VS 2024 VS 2030 (USD MILLION)
• FIGURE 16. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
• FIGURE 17. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
• FIGURE 18. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
• FIGURE 19. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
• FIGURE 20. ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SHARE, BY KEY PLAYER, 2023
• FIGURE 21. ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET, FPNV POSITIONING MATRIX, 2023

LIST OF TABLES

• TABLE 1. ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SEGMENTATION & COVERAGE
• TABLE 2. UNITED STATES DOLLAR EXCHANGE RATE, 2018-2023
• TABLE 3. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, 2018-2030 (USD MILLION)
• TABLE 4. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY REGION, 2018-2030 (USD MILLION)
• TABLE 5. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
• TABLE 6. ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET DYNAMICS
• TABLE 7. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 8. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY HARDWARE, BY REGION, 2018-2030 (USD MILLION)
• TABLE 9. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY SERVICES, BY REGION, 2018-2030 (USD MILLION)
• TABLE 10. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY SOFTWARE, BY REGION, 2018-2030 (USD MILLION)
• TABLE 11. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 12. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY COMPUTER VISION, BY REGION, 2018-2030 (USD MILLION)
• TABLE 13. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY CONTEXT AWARENESS, BY REGION, 2018-2030 (USD MILLION)
• TABLE 14. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY DEEP LEARNING, BY REGION, 2018-2030 (USD MILLION)
• TABLE 15. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY NATURAL LANGUAGE PROCESSING, BY REGION, 2018-2030 (USD MILLION)
• TABLE 16. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 17. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY AUTOMATED LICENSE PLATE RECOGNITION, BY REGION, 2018-2030 (USD MILLION)
• TABLE 18. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY COMPUTER VISION-POWERED PARKING MANAGEMENT, BY REGION, 2018-2030 (USD MILLION)
• TABLE 19. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY PEDESTRIAN DETECTION, BY REGION, 2018-2030 (USD MILLION)
• TABLE 20. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY ROAD CONDITION MONITORING, BY REGION, 2018-2030 (USD MILLION)
• TABLE 21. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY SELF-DRIVING VEHICLES, BY REGION, 2018-2030 (USD MILLION)
• TABLE 22. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY TRAFFIC DETECTION, BY REGION, 2018-2030 (USD MILLION)
• TABLE 23. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY TRAFFIC FLOW ANALYSIS, BY REGION, 2018-2030 (USD MILLION)
• TABLE 24. AMERICAS ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 25. AMERICAS ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 26. AMERICAS ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 27. AMERICAS ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
• TABLE 28. ARGENTINA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 29. ARGENTINA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 30. ARGENTINA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 31. BRAZIL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 32. BRAZIL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 33. BRAZIL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 34. CANADA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 35. CANADA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 36. CANADA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 37. MEXICO ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 38. MEXICO ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 39. MEXICO ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 40. UNITED STATES ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 41. UNITED STATES ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 42. UNITED STATES ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 43. UNITED STATES ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY STATE, 2018-2030 (USD MILLION)
• TABLE 44. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 45. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 46. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 47. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
• TABLE 48. AUSTRALIA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 49. AUSTRALIA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 50. AUSTRALIA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 51. CHINA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 52. CHINA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 53. CHINA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 54. INDIA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 55. INDIA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 56. INDIA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 57. INDONESIA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 58. INDONESIA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 59. INDONESIA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 60. JAPAN ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 61. JAPAN ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 62. JAPAN ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 63. MALAYSIA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 64. MALAYSIA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 65. MALAYSIA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 66. PHILIPPINES ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 67. PHILIPPINES ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 68. PHILIPPINES ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 69. SINGAPORE ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 70. SINGAPORE ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 71. SINGAPORE ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 72. SOUTH KOREA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 73. SOUTH KOREA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 74. SOUTH KOREA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 75. TAIWAN ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 76. TAIWAN ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 77. TAIWAN ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 78. THAILAND ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 79. THAILAND ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 80. THAILAND ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 81. VIETNAM ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 82. VIETNAM ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 83. VIETNAM ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 84. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 85. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 86. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 87. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
• TABLE 88. DENMARK ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 89. DENMARK ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 90. DENMARK ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 91. EGYPT ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 92. EGYPT ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 93. EGYPT ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 94. FINLAND ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 95. FINLAND ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 96. FINLAND ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 97. FRANCE ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 98. FRANCE ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 99. FRANCE ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 100. GERMANY ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 101. GERMANY ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 102. GERMANY ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 103. ISRAEL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 104. ISRAEL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 105. ISRAEL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 106. ITALY ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 107. ITALY ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 108. ITALY ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 109. NETHERLANDS ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 110. NETHERLANDS ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 111. NETHERLANDS ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 112. NIGERIA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 113. NIGERIA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 114. NIGERIA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 115. NORWAY ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 116. NORWAY ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 117. NORWAY ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 118. POLAND ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 119. POLAND ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 120. POLAND ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 121. QATAR ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 122. QATAR ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 123. QATAR ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 124. RUSSIA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 125. RUSSIA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 126. RUSSIA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 127. SAUDI ARABIA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 128. SAUDI ARABIA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 129. SAUDI ARABIA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 130. SOUTH AFRICA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 131. SOUTH AFRICA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 132. SOUTH AFRICA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 133. SPAIN ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 134. SPAIN ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 135. SPAIN ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 136. SWEDEN ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 137. SWEDEN ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 138. SWEDEN ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 139. SWITZERLAND ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 140. SWITZERLAND ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 141. SWITZERLAND ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 142. TURKEY ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 143. TURKEY ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 144. TURKEY ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 145. UNITED ARAB EMIRATES ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 146. UNITED ARAB EMIRATES ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 147. UNITED ARAB EMIRATES ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 148. UNITED KINGDOM ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 149. UNITED KINGDOM ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 150. UNITED KINGDOM ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 151. ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET SHARE, BY KEY PLAYER, 2023
• TABLE 152. ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET, FPNV POSITIONING MATRIX, 2023

The Artificial Intelligence in Transportation Market was valued at USD 2.25 billion in 2023, expected to reach USD 2.52 billion in 2024, and is projected to grow at a CAGR of 13.67%, to USD 5.52 billion by 2030.

The scope of artificial intelligence (AI) in transportation involves its integration across various sectors, including logistics, automotive, public transit, and traffic management. AI's definition within this context extends to the use of computational algorithms and machine learning models to improve efficiency, safety, and decision-making processes in transportation systems. AI is necessary to address the complexities of modern transportation demands, offering applications in autonomous vehicles, predictive maintenance, route optimization, and real-time data analytics for traffic flow management. End-use sectors include automotive manufacturers, logistics service providers, urban planners, and infrastructure developers. Key factors influencing growth in this market are advancements in machine learning capabilities, increasing investments from automotive giants, and the growing need to reduce human error-related accidents. Opportunities exist in developing AI platforms capable of enhancing vehicle-to-everything (V2X) communication and sustainable transportation solutions.

Challenges impacting market growth include the high costs associated with AI deployment and the need for significant infrastructure investments. Data privacy concerns and stringent regulatory frameworks also pose barriers. Additionally, the market faces issues related to technological integration into legacy systems and the shortage of skilled personnel to manage AI systems. However, the push towards electric and autonomous vehicles opens avenues for technological innovation, particularly in AI systems embedded in smart grid technologies for electric vehicle (EV) charging. The growing emphasis on smart cities and integrated transportation networks offers further research prospects. To capitalize on these opportunities, stakeholders should focus on collaborative ecosystems that include governments, technology providers, and academic institutions. Investment in talent development and overcoming regulatory hurdles will be crucial. The nature of the market is dynamic and rapidly evolving, characterized by continuous technological advancements and regulatory adjustments, necessitating ongoing research and adaptive strategies. By prioritizing these areas, players can foster resilience and capitalize on emerging trends in AI for transportation.

Market Dynamics: Unveiling Key Market Insights in the Rapidly Evolving Artificial Intelligence in Transportation Market

The Artificial Intelligence in Transportation Market is undergoing transformative changes driven by a dynamic interplay of supply and demand factors. Understanding these evolving market dynamics prepares business organizations to make informed investment decisions, refine strategic decisions, and seize new opportunities. By gaining a comprehensive view of these trends, business organizations can mitigate various risks across political, geographic, technical, social, and economic domains while also gaining a clearer understanding of consumer behavior and its impact on manufacturing costs and purchasing trends.

• Market Drivers
  • Surging adoption of autonomous vehicles worldwide
  • Growing demand for enhanced transportation solutions
  • Government initiatives to encourage the adoption of advanced technologies in transportation
• Market Restraints
  • High initial investment and implementation cost of AI-based transportation solutions
• Market Opportunities
  • Adoption of AI-powered predictive maintenance in transportation
  • Emerging use in public transportation systems
• Market Challenges
  • Interoperability and compatibility issues in AI-based transportation solutions

Porter's Five Forces: A Strategic Tool for Navigating the Artificial Intelligence in Transportation Market

Porter's five forces framework is a critical tool for understanding the competitive landscape of the Artificial Intelligence in Transportation Market. It offers business organizations with a clear methodology for evaluating their competitive positioning and exploring strategic opportunities. This framework helps businesses assess the power dynamics within the market and determine the profitability of new ventures. With these insights, business organizations can leverage their strengths, address weaknesses, and avoid potential challenges, ensuring a more resilient market positioning.

PESTLE Analysis: Navigating External Influences in the Artificial Intelligence in Transportation Market

External macro-environmental factors play a pivotal role in shaping the performance dynamics of the Artificial Intelligence in Transportation Market. Political, Economic, Social, Technological, Legal, and Environmental factors analysis provides the necessary information to navigate these influences. By examining PESTLE factors, businesses can better understand potential risks and opportunities. This analysis enables business organizations to anticipate changes in regulations, consumer preferences, and economic trends, ensuring they are prepared to make proactive, forward-thinking decisions.

Market Share Analysis: Understanding the Competitive Landscape in the Artificial Intelligence in Transportation Market

A detailed market share analysis in the Artificial Intelligence in Transportation Market provides a comprehensive assessment of vendors' performance. Companies can identify their competitive positioning by comparing key metrics, including revenue, customer base, and growth rates. This analysis highlights market concentration, fragmentation, and trends in consolidation, offering vendors the insights required to make strategic decisions that enhance their position in an increasingly competitive landscape.

FPNV Positioning Matrix: Evaluating Vendors' Performance in the Artificial Intelligence in Transportation Market

The Forefront, Pathfinder, Niche, Vital (FPNV) Positioning Matrix is a critical tool for evaluating vendors within the Artificial Intelligence in Transportation Market. This matrix enables business organizations to make well-informed decisions that align with their goals by assessing vendors based on their business strategy and product satisfaction. The four quadrants provide a clear and precise segmentation of vendors, helping users identify the right partners and solutions that best fit their strategic objectives.

Strategy Analysis & Recommendation: Charting a Path to Success in the Artificial Intelligence in Transportation Market

A strategic analysis of the Artificial Intelligence in Transportation Market is essential for businesses looking to strengthen their global market presence. By reviewing key resources, capabilities, and performance indicators, business organizations can identify growth opportunities and work toward improvement. This approach helps businesses navigate challenges in the competitive landscape and ensures they are well-positioned to capitalize on newer opportunities and drive long-term success.

Key Company Profiles

The report delves into recent significant developments in the Artificial Intelligence in Transportation Market, highlighting leading vendors and their innovative profiles. These include AB Volvo, Aptiv Global Operations Limited, Aurora Innovation Inc., Baidu Apoll, Bosch Security Systems, LLC., Continental AG, Embark Trucks, Inc., Innoviz Technologies Ltd., Intel Corporation, International Business Machines Corporation, Microsoft Corporation, Nuro, Inc., NVIDIA Corporation, PlusAI, Inc., Pony.ai, Inc., Scania CV AB by Volkswagen Group, The Mercedes-Benz Group AG, TuSimple, Waymo LLC, and ZF Friedrichshafen AG.

Market Segmentation & Coverage

This research report categorizes the Artificial Intelligence in Transportation Market to forecast the revenues and analyze trends in each of the following sub-markets:

• Based on Component, market is studied across Hardware, Services, and Software.
• Based on Technology, market is studied across Computer Vision, Context Awareness, Deep Learning, and Natural Language Processing.
• Based on Application, market is studied across Automated License Plate Recognition, Computer Vision-Powered Parking Management, Pedestrian Detection, Road Condition Monitoring, Self-driving Vehicles, Traffic Detection, and Traffic Flow Analysis.
• Based on Region, market is studied across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas is further studied across Argentina, Brazil, Canada, Mexico, and United States. The United States is further studied across California, Florida, Illinois, New York, Ohio, Pennsylvania, and Texas. The Asia-Pacific is further studied across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Taiwan, Thailand, and Vietnam. The Europe, Middle East & Africa is further studied across Denmark, Egypt, Finland, France, Germany, Israel, Italy, Netherlands, Nigeria, Norway, Poland, Qatar, Russia, Saudi Arabia, South Africa, Spain, Sweden, Switzerland, Turkey, United Arab Emirates, and United Kingdom.

The report offers a comprehensive analysis of the market, covering key focus areas:

1. Market Penetration: A detailed review of the current market environment, including extensive data from top industry players, evaluating their market reach and overall influence.

2. Market Development: Identifies growth opportunities in emerging markets and assesses expansion potential in established sectors, providing a strategic roadmap for future growth.

3. Market Diversification: Analyzes recent product launches, untapped geographic regions, major industry advancements, and strategic investments reshaping the market.

4. Competitive Assessment & Intelligence: Provides a thorough analysis of the competitive landscape, examining market share, business strategies, product portfolios, certifications, regulatory approvals, patent trends, and technological advancements of key players.

5. Product Development & Innovation: Highlights cutting-edge technologies, R&D activities, and product innovations expected to drive future market growth.

The report also answers critical questions to aid stakeholders in making informed decisions:

1. What is the current market size, and what is the forecasted growth?

2. Which products, segments, and regions offer the best investment opportunities?

3. What are the key technology trends and regulatory influences shaping the market?

4. How do leading vendors rank in terms of market share and competitive positioning?

5. What revenue sources and strategic opportunities drive vendors' market entry or exit strategies?

Table of Contents

1. Preface

• 1.1. Objectives of the Study
• 1.2. Market Segmentation & Coverage
• 1.3. Years Considered for the Study
• 1.4. Currency & Pricing
• 1.5. Language
• 1.6. Stakeholders

2. Research Methodology

• 2.1. Define: Research Objective
• 2.2. Determine: Research Design
• 2.3. Prepare: Research Instrument
• 2.4. Collect: Data Source
• 2.5. Analyze: Data Interpretation
• 2.6. Formulate: Data Verification
• 2.7. Publish: Research Report
• 2.8. Repeat: Report Update

3. Executive Summary

4. Market Overview

5. Market Insights

• 5.1. Market Dynamics
  • 5.1.1. Drivers
    • 5.1.1.1. Surging adoption of autonomous vehicles worldwide
    • 5.1.1.2. Growing demand for enhanced transportation solutions
    • 5.1.1.3. Government initiatives to encourage the adoption of advanced technologies in transportation
  • 5.1.2. Restraints
    • 5.1.2.1. High initial investment and implementation cost of AI-based transportation solutions
  • 5.1.3. Opportunities
    • 5.1.3.1. Adoption of AI-powered predictive maintenance in transportation
    • 5.1.3.2. Emerging use in public transportation systems
  • 5.1.4. Challenges
    • 5.1.4.1. Interoperability and compatibility issues in AI-based transportation solutions
• 5.2. Market Segmentation Analysis
• 5.3. Porter's Five Forces Analysis
  • 5.3.1. Threat of New Entrants
  • 5.3.2. Threat of Substitutes
  • 5.3.3. Bargaining Power of Customers
  • 5.3.4. Bargaining Power of Suppliers
  • 5.3.5. Industry Rivalry
• 5.4. PESTLE Analysis
  • 5.4.1. Political
  • 5.4.2. Economic
  • 5.4.3. Social
  • 5.4.4. Technological
  • 5.4.5. Legal
  • 5.4.6. Environmental

6. Artificial Intelligence in Transportation Market, by Component

• 6.1. Introduction
• 6.2. Hardware
• 6.3. Services
• 6.4. Software

7. Artificial Intelligence in Transportation Market, by Technology

• 7.1. Introduction
• 7.2. Computer Vision
• 7.3. Context Awareness
• 7.4. Deep Learning
• 7.5. Natural Language Processing

8. Artificial Intelligence in Transportation Market, by Application

• 8.1. Introduction
• 8.2. Automated License Plate Recognition
• 8.3. Computer Vision-Powered Parking Management
• 8.4. Pedestrian Detection
• 8.5. Road Condition Monitoring
• 8.6. Self-driving Vehicles
• 8.7. Traffic Detection
• 8.8. Traffic Flow Analysis

9. Americas Artificial Intelligence in Transportation Market

• 9.1. Introduction
• 9.2. Argentina
• 9.3. Brazil
• 9.4. Canada
• 9.5. Mexico
• 9.6. United States

10. Asia-Pacific Artificial Intelligence in Transportation Market

• 10.1. Introduction
• 10.2. Australia
• 10.3. China
• 10.4. India
• 10.5. Indonesia
• 10.6. Japan
• 10.7. Malaysia
• 10.8. Philippines
• 10.9. Singapore
• 10.10. South Korea
• 10.11. Taiwan
• 10.12. Thailand
• 10.13. Vietnam

11. Europe, Middle East & Africa Artificial Intelligence in Transportation Market

• 11.1. Introduction
• 11.2. Denmark
• 11.3. Egypt
• 11.4. Finland
• 11.5. France
• 11.6. Germany
• 11.7. Israel
• 11.8. Italy
• 11.9. Netherlands
• 11.10. Nigeria
• 11.11. Norway
• 11.12. Poland
• 11.13. Qatar
• 11.14. Russia
• 11.15. Saudi Arabia
• 11.16. South Africa
• 11.17. Spain
• 11.18. Sweden
• 11.19. Switzerland
• 11.20. Turkey
• 11.21. United Arab Emirates
• 11.22. United Kingdom

12. Competitive Landscape

• 12.1. Market Share Analysis, 2023
• 12.2. FPNV Positioning Matrix, 2023
• 12.3. Competitive Scenario Analysis
• 12.4. Strategy Analysis & Recommendation

Companies Mentioned

• 1. AB Volvo
• 2. Aptiv Global Operations Limited
• 3. Aurora Innovation Inc.
• 4. Baidu Apoll
• 5. Bosch Security Systems, LLC.
• 6. Continental AG
• 7. Embark Trucks, Inc.
• 8. Innoviz Technologies Ltd.
• 9. Intel Corporation
• 10. International Business Machines Corporation
• 11. Microsoft Corporation
• 12. Nuro, Inc.
• 13. NVIDIA Corporation
• 14. PlusAI, Inc.
• 15. Pony.ai, Inc.
• 16. Scania CV AB by Volkswagen Group
• 17. The Mercedes-Benz Group AG
• 18. TuSimple
• 19. Waymo LLC
• 20. ZF Friedrichshafen AG