モビリティにおけるAI市場：モビリティタイプ、テクノロジータイプ、アプリケーション別-2025-2030年の世界予測

モビリティにおけるAI市場は、2024年には95億9,000万米ドルとなり、2025年には108億6,000万米ドル、CAGR13.60％で成長し、2030年には206億1,000万米ドルに達すると予測されています。

急速な技術進化が顕著な時代において、人工知能はもはや単なるSFの概念ではなく、モビリティを再形成する変革の力となっています。最先端のセンサーとデータ分析に高度なアルゴリズムが融合することで、交通エコシステム全体にパラダイムシフトが起こりつつあります。車両のスマート化、インフラのコネクテッド化、サービスの統合が進む中、AIは複雑な課題を解決し、新たな機会を創出する上で不可欠な存在となっています。このイントロダクションでは、AIがイノベーションを促進し、オペレーションを最適化し、モビリティの全体的なパフォーマンスを向上させる方法についての詳細な議論の舞台を設定し、新興の新興企業と世界大手の両方が戦略的意思決定に情報を提供するためにこれらの洞察を活用できるようにします。

モビリティにおけるAI市場の変革

モビリティを取り巻く環境は、私たちの輸送に対する考え方を根本的に変えるような、一連の変革期を迎えています。AI技術の進歩は、リアルタイムのデータ統合、予測分析、自律的な運行能力におけるブレークスルーをもたらしました。こうした変化は、交通渋滞、不安定な需要パターン、従来のモビリティ・ソリューションの環境フットプリントといった長年の課題に対処するものです。さらに、変革的なシフトはテクノロジーにとどまらず、ビジネスモデルや規制の枠組み、さらにはモビリティに関する文化的な認識にまで影響を及ぼしています。業界の利害関係者は今、レガシー・システムから、統合され、適応性があり、データ駆動型のソリューションへと移行する重大な変化を目の当たりにしています。

強化された接続性とよりスマートなアルゴリズムによって、車両とインフラがシームレスに通信できるようになり、交通市場のあらゆる主要分野がその影響を感じています。このシフトは、ハードウェアとソフトウェアの革新と深い専門知識を戦略的に融合させ、孤立したシステムを同期したインテリジェントなネットワークに効果的に変えます。その結果、より効率的な運行モデルが実現し、車両管理、ルート最適化、予知保全などのプロセスが革新されます。意思決定者には、モビリティ・ソリューションの計画とスケーリングを強化する長期予測機能が提供されます。最終的には、このような変革的なシフトを取り入れることで、企業はコスト削減、安全性の向上、より魅力的な顧客体験の提供に有利な立場に立つことができます。

セグメンテーションの洞察市場の次元を理解する

市場セグメンテーションを詳細に検討することで、モビリティのAIに対する理解を深めるいくつかの重要な次元が明らかになります。最初の次元は、モビリティのタイプに焦点を当て、市場を航空モビリティ、陸上モビリティ、海上モビリティに分けて厳密に分析します。これらの各分野は、独自のオペレーションダイナミクス、技術要件、規制環境によって特徴付けられます。このような違いを理解することで、利害関係者は、航空機動作戦で要求される精度であれ、海上で要求される堅牢な適応性であれ、特定の課題に対処するためにイノベーションを調整することができます。

モビリティタイプに加え、テクノロジーの側面も、市場機会を定義する上で極めて重要な役割を果たします。この側面には、環境理解を強化するコンピューター・ビジョンや知覚、意思決定を支える包括的なデータ分析やビッグデータのフレームワーク、動的な適応性を可能にする機械学習や深層学習の役割など、基礎的な技術や新たな技術が幅広く含まれます。自然言語処理は人間と機械のインタラクション向上に貢献し、センサーフュージョンとIoT統合はリアルタイムデータ集約への道を開きます。さらに、シミュレーションとデジタル・ツインは、現実世界のシナリオを予測・管理するのに役立つ仮想環境を提供し、それによって全体的な戦略立案プロセスを向上させる。

アプリケーションのセグメンテーションでは、主要な使用事例に焦点を当てることで、市場動向に対する洞察をさらに深めています。これには、安全性と効率性を確保するADAS（先進運転支援システム）と組み合わされた自律走行や、業務を合理化して配送成果を改善するロジスティクスとサプライチェーンの最適化などの領域が含まれます。予知保全と診断は、ダウンタイムを最小限に抑え、システム障害を防止する上で重要な役割を果たします。安全性とセキュリティに重点を置くことで、サイバー脅威に強い堅牢なシステムの必要性に対応し、交通と車両管理における絶え間ないイノベーションにより、モビリティサービスが最高の効率で運用できるようにします。これらのセグメンテーションの洞察は、モビリティとAI技術の様々な要素を統合した包括的なフレームワークを提供します。

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
    • 高度なAI機能によって強化された効率的で持続可能な輸送システムに対する需要の増加
    • 統合デジタル交通エコシステムを構築するモビリティ・アズ・ア・サービス・プラットフォームの台頭
    • コネクテッドカーや自動運転車体験に対する消費者の需要の高まり
  • 抑制要因
    • 効果的なAIモデリングに必要なデータの入手性は限られており、品質も一定ではない
  • 機会
    • 機械学習アルゴリズムを使用したリアルタイムルート最適化と動的交通流管理の拡張
    • 自然言語処理ベースの顧客サポートと旅程計画ツールの統合
  • 課題
    • 膨大なモビリティデータの収集と処理から生じるデータのプライバシーとセキュリティの懸念
• 市場セグメンテーション分析
  • モビリティタイプ：陸上モビリティエコシステムにおける安全性、効率性、接続性を再定義するAIの役割が増大
  • 応用：次世代モビリティのための自動運転と運転支援におけるAIイノベーションの活用
• ポーターのファイブフォース分析
• PESTEL分析
  • 政治的
  • 経済
  • 社会
  • 技術的
  • 法律上
  • 環境

第6章 モビリティにおけるAI市場モビリティタイプ別

• 航空モビリティ
• 陸上移動
• 海上モビリティ

第7章 モビリティにおけるAI市場テクノロジーの種類別

• コンピュータービジョンと認識
• データ分析とビッグデータ
• 機械学習とディープラーニング
• 自然言語処理
• センサーフュージョンとIoT統合
• シミュレーションとデジタルツイン

第8章 モビリティにおけるAI市場：用途別

• 自動運転と運転支援
• 物流とサプライチェーンの最適化
• 予知保全と診断
• 安全とセキュリティ
• 交通と車両管理

第9章 南北アメリカのモビリティにおけるAI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モビリティにおけるAI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・アフリカのモビリティにおけるAI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, 2024
• FPNVポジショニングマトリックス, 2024
• 競合シナリオ分析
• 戦略分析と提言

企業一覧

• Aisin Seiki Co., Ltd.
• Alphabet Inc.
• Aurora Innovation, Inc.
• Baidu, Inc.
• BMW AG
• Denso Corporation
• Ford Motor Company
• General Motors Company
• Intel Corporation
• International Business Machines Corp.
• Magna International Inc.
• Microsoft Corporation
• NVIDIA Corporation
• Ouster Inc.
• Qualcomm Technologies, Inc.
• Renesas Electronics Corporation
• Robert Bosch GmbH
• Tesla, Inc.
• Uber Technologies, Inc.
• Valeo SA
• Volkswagen AG
• Xpeng Motors Inc.
• ZF Friedrichshafen AG

LIST OF FIGURES

• FIGURE 1. AI IN MOBILITY MARKET MULTI-CURRENCY
• FIGURE 2. AI IN MOBILITY MARKET MULTI-LANGUAGE
• FIGURE 3. AI IN MOBILITY MARKET RESEARCH PROCESS
• FIGURE 4. AI IN MOBILITY MARKET SIZE, 2024 VS 2030
• FIGURE 5. GLOBAL AI IN MOBILITY MARKET SIZE, 2018-2030 (USD MILLION)
• FIGURE 6. GLOBAL AI IN MOBILITY MARKET SIZE, BY REGION, 2024 VS 2025 VS 2030 (USD MILLION)
• FIGURE 7. GLOBAL AI IN MOBILITY MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2030 (USD MILLION)
• FIGURE 8. GLOBAL AI IN MOBILITY MARKET SIZE, BY MOBILITY TYPE, 2024 VS 2030 (%)
• FIGURE 9. GLOBAL AI IN MOBILITY MARKET SIZE, BY MOBILITY TYPE, 2024 VS 2025 VS 2030 (USD MILLION)
• FIGURE 10. GLOBAL AI IN MOBILITY MARKET SIZE, BY TECHNOLOGIES TYPE, 2024 VS 2030 (%)
• FIGURE 11. GLOBAL AI IN MOBILITY MARKET SIZE, BY TECHNOLOGIES TYPE, 2024 VS 2025 VS 2030 (USD MILLION)
• FIGURE 12. GLOBAL AI IN MOBILITY MARKET SIZE, BY APPLICATION, 2024 VS 2030 (%)
• FIGURE 13. GLOBAL AI IN MOBILITY MARKET SIZE, BY APPLICATION, 2024 VS 2025 VS 2030 (USD MILLION)
• FIGURE 14. AMERICAS AI IN MOBILITY MARKET SIZE, BY COUNTRY, 2024 VS 2030 (%)
• FIGURE 15. AMERICAS AI IN MOBILITY MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2030 (USD MILLION)
• FIGURE 16. UNITED STATES AI IN MOBILITY MARKET SIZE, BY STATE, 2024 VS 2030 (%)
• FIGURE 17. UNITED STATES AI IN MOBILITY MARKET SIZE, BY STATE, 2024 VS 2025 VS 2030 (USD MILLION)
• FIGURE 18. ASIA-PACIFIC AI IN MOBILITY MARKET SIZE, BY COUNTRY, 2024 VS 2030 (%)
• FIGURE 19. ASIA-PACIFIC AI IN MOBILITY MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2030 (USD MILLION)
• FIGURE 20. EUROPE, MIDDLE EAST & AFRICA AI IN MOBILITY MARKET SIZE, BY COUNTRY, 2024 VS 2030 (%)
• FIGURE 21. EUROPE, MIDDLE EAST & AFRICA AI IN MOBILITY MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2030 (USD MILLION)
• FIGURE 22. AI IN MOBILITY MARKET SHARE, BY KEY PLAYER, 2024
• FIGURE 23. AI IN MOBILITY MARKET, FPNV POSITIONING MATRIX, 2024

LIST OF TABLES

• TABLE 1. AI IN MOBILITY MARKET SEGMENTATION & COVERAGE
• TABLE 2. UNITED STATES DOLLAR EXCHANGE RATE, 2018-2024
• TABLE 3. GLOBAL AI IN MOBILITY MARKET SIZE, 2018-2030 (USD MILLION)
• TABLE 4. GLOBAL AI IN MOBILITY MARKET SIZE, BY REGION, 2018-2030 (USD MILLION)
• TABLE 5. GLOBAL AI IN MOBILITY MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
• TABLE 6. AI IN MOBILITY MARKET DYNAMICS
• TABLE 7. GLOBAL AI IN MOBILITY MARKET SIZE, BY MOBILITY TYPE, 2018-2030 (USD MILLION)
• TABLE 8. GLOBAL AI IN MOBILITY MARKET SIZE, BY AIR MOBILITY, BY REGION, 2018-2030 (USD MILLION)
• TABLE 9. GLOBAL AI IN MOBILITY MARKET SIZE, BY LAND MOBILITY, BY REGION, 2018-2030 (USD MILLION)
• TABLE 10. GLOBAL AI IN MOBILITY MARKET SIZE, BY MARITIME MOBILITY, BY REGION, 2018-2030 (USD MILLION)
• TABLE 11. GLOBAL AI IN MOBILITY MARKET SIZE, BY TECHNOLOGIES TYPE, 2018-2030 (USD MILLION)
• TABLE 12. GLOBAL AI IN MOBILITY MARKET SIZE, BY COMPUTER VISION & PERCEPTION, BY REGION, 2018-2030 (USD MILLION)
• TABLE 13. GLOBAL AI IN MOBILITY MARKET SIZE, BY DATA ANALYTICS & BIG DATA, BY REGION, 2018-2030 (USD MILLION)
• TABLE 14. GLOBAL AI IN MOBILITY MARKET SIZE, BY MACHINE LEARNING & DEEP LEARNING, BY REGION, 2018-2030 (USD MILLION)
• TABLE 15. GLOBAL AI IN MOBILITY MARKET SIZE, BY NATURAL LANGUAGE PROCESSING, BY REGION, 2018-2030 (USD MILLION)
• TABLE 16. GLOBAL AI IN MOBILITY MARKET SIZE, BY SENSOR FUSION & IOT INTEGRATION, BY REGION, 2018-2030 (USD MILLION)
• TABLE 17. GLOBAL AI IN MOBILITY MARKET SIZE, BY SIMULATION & DIGITAL TWINS, BY REGION, 2018-2030 (USD MILLION)
• TABLE 18. GLOBAL AI IN MOBILITY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 19. GLOBAL AI IN MOBILITY MARKET SIZE, BY AUTONOMOUS DRIVING & DRIVER ASSISTANCE, BY REGION, 2018-2030 (USD MILLION)
• TABLE 20. GLOBAL AI IN MOBILITY MARKET SIZE, BY LOGISTICS & SUPPLY CHAIN OPTIMIZATION, BY REGION, 2018-2030 (USD MILLION)
• TABLE 21. GLOBAL AI IN MOBILITY MARKET SIZE, BY PREDICTIVE MAINTENANCE & DIAGNOSTICS, BY REGION, 2018-2030 (USD MILLION)
• TABLE 22. GLOBAL AI IN MOBILITY MARKET SIZE, BY SAFETY & SECURITY, BY REGION, 2018-2030 (USD MILLION)
• TABLE 23. GLOBAL AI IN MOBILITY MARKET SIZE, BY TRAFFIC & FLEET MANAGEMENT, BY REGION, 2018-2030 (USD MILLION)
• TABLE 24. AMERICAS AI IN MOBILITY MARKET SIZE, BY MOBILITY TYPE, 2018-2030 (USD MILLION)
• TABLE 25. AMERICAS AI IN MOBILITY MARKET SIZE, BY TECHNOLOGIES TYPE, 2018-2030 (USD MILLION)
• TABLE 26. AMERICAS AI IN MOBILITY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 27. AMERICAS AI IN MOBILITY MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
• TABLE 28. ARGENTINA AI IN MOBILITY MARKET SIZE, BY MOBILITY TYPE, 2018-2030 (USD MILLION)
• TABLE 29. ARGENTINA AI IN MOBILITY MARKET SIZE, BY TECHNOLOGIES TYPE, 2018-2030 (USD MILLION)
• TABLE 30. ARGENTINA AI IN MOBILITY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 31. BRAZIL AI IN MOBILITY MARKET SIZE, BY MOBILITY TYPE, 2018-2030 (USD MILLION)
• TABLE 32. BRAZIL AI IN MOBILITY MARKET SIZE, BY TECHNOLOGIES TYPE, 2018-2030 (USD MILLION)
• TABLE 33. BRAZIL AI IN MOBILITY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 34. CANADA AI IN MOBILITY MARKET SIZE, BY MOBILITY TYPE, 2018-2030 (USD MILLION)
• TABLE 35. CANADA AI IN MOBILITY MARKET SIZE, BY TECHNOLOGIES TYPE, 2018-2030 (USD MILLION)
• TABLE 36. CANADA AI IN MOBILITY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 37. MEXICO AI IN MOBILITY MARKET SIZE, BY MOBILITY TYPE, 2018-2030 (USD MILLION)
• TABLE 38. MEXICO AI IN MOBILITY MARKET SIZE, BY TECHNOLOGIES TYPE, 2018-2030 (USD MILLION)
• TABLE 39. MEXICO AI IN MOBILITY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 40. UNITED STATES AI IN MOBILITY MARKET SIZE, BY MOBILITY TYPE, 2018-2030 (USD MILLION)
• TABLE 41. UNITED STATES AI IN MOBILITY MARKET SIZE, BY TECHNOLOGIES TYPE, 2018-2030 (USD MILLION)
• TABLE 42. UNITED STATES AI IN MOBILITY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 43. UNITED STATES AI IN MOBILITY MARKET SIZE, BY STATE, 2018-2030 (USD MILLION)
• TABLE 44. ASIA-PACIFIC AI IN MOBILITY MARKET SIZE, BY MOBILITY TYPE, 2018-2030 (USD MILLION)
• TABLE 45. ASIA-PACIFIC AI IN MOBILITY MARKET SIZE, BY TECHNOLOGIES TYPE, 2018-2030 (USD MILLION)
• TABLE 46. ASIA-PACIFIC AI IN MOBILITY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 47. ASIA-PACIFIC AI IN MOBILITY MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
• TABLE 48. AUSTRALIA AI IN MOBILITY MARKET SIZE, BY MOBILITY TYPE, 2018-2030 (USD MILLION)
• TABLE 49. AUSTRALIA AI IN MOBILITY MARKET SIZE, BY TECHNOLOGIES TYPE, 2018-2030 (USD MILLION)
• TABLE 50. AUSTRALIA AI IN MOBILITY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 51. CHINA AI IN MOBILITY MARKET SIZE, BY MOBILITY TYPE, 2018-2030 (USD MILLION)
• TABLE 52. CHINA AI IN MOBILITY MARKET SIZE, BY TECHNOLOGIES TYPE, 2018-2030 (USD MILLION)
• TABLE 53. CHINA AI IN MOBILITY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 54. INDIA AI IN MOBILITY MARKET SIZE, BY MOBILITY TYPE, 2018-2030 (USD MILLION)
• TABLE 55. INDIA AI IN MOBILITY MARKET SIZE, BY TECHNOLOGIES TYPE, 2018-2030 (USD MILLION)
• TABLE 56. INDIA AI IN MOBILITY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 57. INDONESIA AI IN MOBILITY MARKET SIZE, BY MOBILITY TYPE, 2018-2030 (USD MILLION)
• TABLE 58. INDONESIA AI IN MOBILITY MARKET SIZE, BY TECHNOLOGIES TYPE, 2018-2030 (USD MILLION)
• TABLE 59. INDONESIA AI IN MOBILITY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 60. JAPAN AI IN MOBILITY MARKET SIZE, BY MOBILITY TYPE, 2018-2030 (USD MILLION)
• TABLE 61. JAPAN AI IN MOBILITY MARKET SIZE, BY TECHNOLOGIES TYPE, 2018-2030 (USD MILLION)
• TABLE 62. JAPAN AI IN MOBILITY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 63. MALAYSIA AI IN MOBILITY MARKET SIZE, BY MOBILITY TYPE, 2018-2030 (USD MILLION)
• TABLE 64. MALAYSIA AI IN MOBILITY MARKET SIZE, BY TECHNOLOGIES TYPE, 2018-2030 (USD MILLION)
• TABLE 65. MALAYSIA AI IN MOBILITY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 66. PHILIPPINES AI IN MOBILITY MARKET SIZE, BY MOBILITY TYPE, 2018-2030 (USD MILLION)
• TABLE 67. PHILIPPINES AI IN MOBILITY MARKET SIZE, BY TECHNOLOGIES TYPE, 2018-2030 (USD MILLION)
• TABLE 68. PHILIPPINES AI IN MOBILITY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 69. SINGAPORE AI IN MOBILITY MARKET SIZE, BY MOBILITY TYPE, 2018-2030 (USD MILLION)
• TABLE 70. SINGAPORE AI IN MOBILITY MARKET SIZE, BY TECHNOLOGIES TYPE, 2018-2030 (USD MILLION)
• TABLE 71. SINGAPORE AI IN MOBILITY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 72. SOUTH KOREA AI IN MOBILITY MARKET SIZE, BY MOBILITY TYPE, 2018-2030 (USD MILLION)
• TABLE 73. SOUTH KOREA AI IN MOBILITY MARKET SIZE, BY TECHNOLOGIES TYPE, 2018-2030 (USD MILLION)
• TABLE 74. SOUTH KOREA AI IN MOBILITY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 75. TAIWAN AI IN MOBILITY MARKET SIZE, BY MOBILITY TYPE, 2018-2030 (USD MILLION)
• TABLE 76. TAIWAN AI IN MOBILITY MARKET SIZE, BY TECHNOLOGIES TYPE, 2018-2030 (USD MILLION)
• TABLE 77. TAIWAN AI IN MOBILITY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 78. THAILAND AI IN MOBILITY MARKET SIZE, BY MOBILITY TYPE, 2018-2030 (USD MILLION)
• TABLE 79. THAILAND AI IN MOBILITY MARKET SIZE, BY TECHNOLOGIES TYPE, 2018-2030 (USD MILLION)
• TABLE 80. THAILAND AI IN MOBILITY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 81. VIETNAM AI IN MOBILITY MARKET SIZE, BY MOBILITY TYPE, 2018-2030 (USD MILLION)
• TABLE 82. VIETNAM AI IN MOBILITY MARKET SIZE, BY TECHNOLOGIES TYPE, 2018-2030 (USD MILLION)
• TABLE 83. VIETNAM AI IN MOBILITY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 84. EUROPE, MIDDLE EAST & AFRICA AI IN MOBILITY MARKET SIZE, BY MOBILITY TYPE, 2018-2030 (USD MILLION)
• TABLE 85. EUROPE, MIDDLE EAST & AFRICA AI IN MOBILITY MARKET SIZE, BY TECHNOLOGIES TYPE, 2018-2030 (USD MILLION)
• TABLE 86. EUROPE, MIDDLE EAST & AFRICA AI IN MOBILITY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 87. EUROPE, MIDDLE EAST & AFRICA AI IN MOBILITY MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
• TABLE 88. DENMARK AI IN MOBILITY MARKET SIZE, BY MOBILITY TYPE, 2018-2030 (USD MILLION)
• TABLE 89. DENMARK AI IN MOBILITY MARKET SIZE, BY TECHNOLOGIES TYPE, 2018-2030 (USD MILLION)
• TABLE 90. DENMARK AI IN MOBILITY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 91. EGYPT AI IN MOBILITY MARKET SIZE, BY MOBILITY TYPE, 2018-2030 (USD MILLION)
• TABLE 92. EGYPT AI IN MOBILITY MARKET SIZE, BY TECHNOLOGIES TYPE, 2018-2030 (USD MILLION)
• TABLE 93. EGYPT AI IN MOBILITY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 94. FINLAND AI IN MOBILITY MARKET SIZE, BY MOBILITY TYPE, 2018-2030 (USD MILLION)
• TABLE 95. FINLAND AI IN MOBILITY MARKET SIZE, BY TECHNOLOGIES TYPE, 2018-2030 (USD MILLION)
• TABLE 96. FINLAND AI IN MOBILITY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 97. FRANCE AI IN MOBILITY MARKET SIZE, BY MOBILITY TYPE, 2018-2030 (USD MILLION)
• TABLE 98. FRANCE AI IN MOBILITY MARKET SIZE, BY TECHNOLOGIES TYPE, 2018-2030 (USD MILLION)
• TABLE 99. FRANCE AI IN MOBILITY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 100. GERMANY AI IN MOBILITY MARKET SIZE, BY MOBILITY TYPE, 2018-2030 (USD MILLION)
• TABLE 101. GERMANY AI IN MOBILITY MARKET SIZE, BY TECHNOLOGIES TYPE, 2018-2030 (USD MILLION)
• TABLE 102. GERMANY AI IN MOBILITY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 103. ISRAEL AI IN MOBILITY MARKET SIZE, BY MOBILITY TYPE, 2018-2030 (USD MILLION)
• TABLE 104. ISRAEL AI IN MOBILITY MARKET SIZE, BY TECHNOLOGIES TYPE, 2018-2030 (USD MILLION)
• TABLE 105. ISRAEL AI IN MOBILITY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 106. ITALY AI IN MOBILITY MARKET SIZE, BY MOBILITY TYPE, 2018-2030 (USD MILLION)
• TABLE 107. ITALY AI IN MOBILITY MARKET SIZE, BY TECHNOLOGIES TYPE, 2018-2030 (USD MILLION)
• TABLE 108. ITALY AI IN MOBILITY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 109. NETHERLANDS AI IN MOBILITY MARKET SIZE, BY MOBILITY TYPE, 2018-2030 (USD MILLION)
• TABLE 110. NETHERLANDS AI IN MOBILITY MARKET SIZE, BY TECHNOLOGIES TYPE, 2018-2030 (USD MILLION)
• TABLE 111. NETHERLANDS AI IN MOBILITY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 112. NIGERIA AI IN MOBILITY MARKET SIZE, BY MOBILITY TYPE, 2018-2030 (USD MILLION)
• TABLE 113. NIGERIA AI IN MOBILITY MARKET SIZE, BY TECHNOLOGIES TYPE, 2018-2030 (USD MILLION)
• TABLE 114. NIGERIA AI IN MOBILITY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 115. NORWAY AI IN MOBILITY MARKET SIZE, BY MOBILITY TYPE, 2018-2030 (USD MILLION)
• TABLE 116. NORWAY AI IN MOBILITY MARKET SIZE, BY TECHNOLOGIES TYPE, 2018-2030 (USD MILLION)
• TABLE 117. NORWAY AI IN MOBILITY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 118. POLAND AI IN MOBILITY MARKET SIZE, BY MOBILITY TYPE, 2018-2030 (USD MILLION)
• TABLE 119. POLAND AI IN MOBILITY MARKET SIZE, BY TECHNOLOGIES TYPE, 2018-2030 (USD MILLION)
• TABLE 120. POLAND AI IN MOBILITY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 121. QATAR AI IN MOBILITY MARKET SIZE, BY MOBILITY TYPE, 2018-2030 (USD MILLION)
• TABLE 122. QATAR AI IN MOBILITY MARKET SIZE, BY TECHNOLOGIES TYPE, 2018-2030 (USD MILLION)
• TABLE 123. QATAR AI IN MOBILITY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 124. RUSSIA AI IN MOBILITY MARKET SIZE, BY MOBILITY TYPE, 2018-2030 (USD MILLION)
• TABLE 125. RUSSIA AI IN MOBILITY MARKET SIZE, BY TECHNOLOGIES TYPE, 2018-2030 (USD MILLION)
• TABLE 126. RUSSIA AI IN MOBILITY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 127. SAUDI ARABIA AI IN MOBILITY MARKET SIZE, BY MOBILITY TYPE, 2018-2030 (USD MILLION)
• TABLE 128. SAUDI ARABIA AI IN MOBILITY MARKET SIZE, BY TECHNOLOGIES TYPE, 2018-2030 (USD MILLION)
• TABLE 129. SAUDI ARABIA AI IN MOBILITY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 130. SOUTH AFRICA AI IN MOBILITY MARKET SIZE, BY MOBILITY TYPE, 2018-2030 (USD MILLION)
• TABLE 131. SOUTH AFRICA AI IN MOBILITY MARKET SIZE, BY TECHNOLOGIES TYPE, 2018-2030 (USD MILLION)
• TABLE 132. SOUTH AFRICA AI IN MOBILITY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 133. SPAIN AI IN MOBILITY MARKET SIZE, BY MOBILITY TYPE, 2018-2030 (USD MILLION)
• TABLE 134. SPAIN AI IN MOBILITY MARKET SIZE, BY TECHNOLOGIES TYPE, 2018-2030 (USD MILLION)
• TABLE 135. SPAIN AI IN MOBILITY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 136. SWEDEN AI IN MOBILITY MARKET SIZE, BY MOBILITY TYPE, 2018-2030 (USD MILLION)
• TABLE 137. SWEDEN AI IN MOBILITY MARKET SIZE, BY TECHNOLOGIES TYPE, 2018-2030 (USD MILLION)
• TABLE 138. SWEDEN AI IN MOBILITY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 139. SWITZERLAND AI IN MOBILITY MARKET SIZE, BY MOBILITY TYPE, 2018-2030 (USD MILLION)
• TABLE 140. SWITZERLAND AI IN MOBILITY MARKET SIZE, BY TECHNOLOGIES TYPE, 2018-2030 (USD MILLION)
• TABLE 141. SWITZERLAND AI IN MOBILITY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 142. TURKEY AI IN MOBILITY MARKET SIZE, BY MOBILITY TYPE, 2018-2030 (USD MILLION)
• TABLE 143. TURKEY AI IN MOBILITY MARKET SIZE, BY TECHNOLOGIES TYPE, 2018-2030 (USD MILLION)
• TABLE 144. TURKEY AI IN MOBILITY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 145. UNITED ARAB EMIRATES AI IN MOBILITY MARKET SIZE, BY MOBILITY TYPE, 2018-2030 (USD MILLION)
• TABLE 146. UNITED ARAB EMIRATES AI IN MOBILITY MARKET SIZE, BY TECHNOLOGIES TYPE, 2018-2030 (USD MILLION)
• TABLE 147. UNITED ARAB EMIRATES AI IN MOBILITY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 148. UNITED KINGDOM AI IN MOBILITY MARKET SIZE, BY MOBILITY TYPE, 2018-2030 (USD MILLION)
• TABLE 149. UNITED KINGDOM AI IN MOBILITY MARKET SIZE, BY TECHNOLOGIES TYPE, 2018-2030 (USD MILLION)
• TABLE 150. UNITED KINGDOM AI IN MOBILITY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 151. AI IN MOBILITY MARKET SHARE, BY KEY PLAYER, 2024
• TABLE 152. AI IN MOBILITY MARKET, FPNV POSITIONING MATRIX, 2024

The AI in Mobility Market was valued at USD 9.59 billion in 2024 and is projected to grow to USD 10.86 billion in 2025, with a CAGR of 13.60%, reaching USD 20.61 billion by 2030.

In an era marked by rapid technological evolution, artificial intelligence is no longer just a concept from science fiction but a transformative force reshaping mobility. The convergence of advanced algorithms with state-of-the-art sensors and data analytics is catalyzing a paradigm shift across the transportation ecosystem. As vehicles become smarter, infrastructure more connected, and services increasingly integrated, AI is proving indispensable in solving complex challenges and creating new opportunities. This introduction sets the stage for an in-depth discussion on the ways AI is driving innovation, optimizing operations, and enhancing overall performance in mobility so that both emerging startups and global giants can harness these insights to inform strategic decisions.

Transformative Shifts in the Mobility Landscape

The mobility landscape is undergoing a series of transformative shifts that are fundamentally altering how we think about transportation. Advancements in AI technologies have led to breakthroughs in real-time data integration, predictive analytics, and autonomous operational capabilities. These changes address longstanding challenges such as traffic congestion, volatile demand patterns, and the environmental footprint of traditional mobility solutions. Furthermore, transformational shifts are not limited to technology; they are influencing business models, regulatory frameworks, and even cultural perceptions about mobility. Industry stakeholders are now witnessing a profound change that moves away from legacy systems toward integrated, adaptive, and data-driven solutions.

Every major segment of the transportation market is feeling the impact, as enhanced connectivity and smarter algorithms enable vehicles and infrastructure to communicate seamlessly. This shift involves a strategic convergence of hardware and software innovations with deep domain expertise, effectively turning isolated systems into a synchronized, intelligent network. The result is a more efficient operational model whereby processes such as fleet management, route optimization, and predictive maintenance are being revolutionized. Decision-makers are provided with long-range forecasting capabilities that enhance the planning and scaling of mobility solutions. Ultimately, by embracing these transformative shifts, organizations are better positioned to reduce costs, improve safety, and offer a more compelling customer experience.

Segmentation Insights: Understanding Market Dimensions

A detailed examination of market segmentation reveals several critical dimensions that enrich our understanding of AI in mobility. The first dimension focuses on mobility type, where the market is rigorously analyzed across air mobility, land mobility, and maritime mobility. Each of these areas is characterized by unique operational dynamics, technological requirements, and regulatory environments. By understanding these distinctions, stakeholders can tailor innovations to address specific challenges, whether it is the precision required in air mobility operations or the rugged adaptability demanded by maritime conditions.

In addition to mobility type, the technology dimension plays a pivotal role in defining market opportunities. This aspect encompasses a broad spectrum of foundational and emerging technologies including computer vision and perception that enhance environmental understanding, comprehensive data analytics and big data frameworks that underpin decision-making, and the role of machine learning and deep learning in enabling dynamic adaptability. Natural language processing contributes to improved human-machine interactions, while sensor fusion and IoT integration pave the way for real-time data aggregation. Furthermore, simulation and digital twins offer virtual environments that help predict and manage real-world scenarios, thereby elevating the overall strategic planning process.

The application segmentation further deepens the insight into market trends by focusing on key use cases. This includes domains such as autonomous driving paired with advanced driver assistance systems that ensure safety and efficiency, as well as logistics and supply chain optimization that streamline operations and improve delivery outcomes. Predictive maintenance and diagnostics play a crucial role in minimizing downtime and preventing system failures. The focus on safety and security addresses the need for robust systems resistant to cyber threats, and the continual innovation in traffic and fleet management ensures that mobility services can operate at peak efficiency. Together, these segmentation insights provide a comprehensive framework that integrates various elements of mobility and AI technologies into a cohesive strategic overview.

Based on Mobility Type, market is studied across Air Mobility, Land Mobility, and Maritime Mobility.

Based on Technologies Type, market is studied across Computer Vision & Perception, Data Analytics & Big Data, Machine Learning & Deep Learning, Natural Language Processing, Sensor Fusion & IoT Integration, and Simulation & Digital Twins.

Based on Application, market is studied across Autonomous Driving & Driver Assistance, Logistics & Supply Chain Optimization, Predictive Maintenance & Diagnostics, Safety & Security, and Traffic & Fleet Management.

Regional Insights: Evaluating the Global AI in Mobility Landscape

A global perspective on AI in mobility uncovers diverse trends across different regions, each contributing uniquely to the overall market evolution. Analysis shows that the Americas serve as a fertile ground for innovation, fueled by a sophisticated technological ecosystem and mature capital markets that support rapid testing and deployment of new technologies. The breadth of research, combined with a culture of experimentation and rapid prototyping, accelerates the rate of adoption and integration of AI-driven solutions.

In Europe, the Middle East, and Africa, the interplay of stringent regulatory standards, robust infrastructure development, and a focus on environmental sustainability creates a distinctive landscape. Here, the balance between technological innovation and regulatory compliance dictates the pace of advancement. Moreover, these regions benefit from collaborative initiatives that bridge public and private sector efforts, ensuring that mobility solutions align with both local and international expectations while addressing region-specific challenges.

The Asia-Pacific region stands out as a dynamic hub of technological progress and market expansion, characterized by aggressive investments in smart city projects and a burgeoning consumer market. The rapid urbanization, coupled with a strong grasp of emerging technologies, enables this region to harness the full potential of AI, from optimizing traffic flows to enhancing multi-modal transportation experiences. Collectively, these regional insights are indicative of a highly diversified market, with each area bringing complementary strengths that reinforce the benefits of integrating AI into mobility frameworks.

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.

Assessing the Competitive Landscape: Key Companies In Focus

The competitive landscape in AI-driven mobility is defined by a robust mix of established giants and innovative disruptors, all of whom are striving to lead the way in technological advancement. Notable industry players include pioneering firms such as Aisin Seiki Co., Ltd., whose strong legacy in automotive manufacturing continues to be bolstered by cutting-edge AI applications. Tech behemoths like Alphabet Inc. have expanded their reach into new mobility segments, while companies such as Aurora Innovation, Inc. and Baidu, Inc. are recognized for pushing the boundaries of autonomous driving and real-time data integration.

Traditional automotive leaders such as BMW AG and Denso Corporation continue to amalgamate AI into their product offerings, ensuring that legacy brands remain relevant in this new era. Ford Motor Company and General Motors Company have adapted quickly as well, investing heavily in digital transformation to stay ahead of evolving consumer expectations. The presence of major technology companies like Intel Corporation and International Business Machines Corp. underscores the cross-industry integration of AI, marrying the precision of semiconductor technology with the strategic imperatives of mobility solutions.

Magnus names such as Magna International Inc. and Microsoft Corporation bring a wealth of experience in both operational excellence and technological innovation. NVIDIA Corporation is transforming the way visual computing and real-time processing are integrated into mobility. Additionally, prominent roles are played by companies including Ouster Inc., Qualcomm Technologies, Inc., Renesas Electronics Corporation, and Robert Bosch GmbH, whose commitment to research and development is reshaping core infrastructures. In the realm of electric and autonomous vehicles, Tesla, Inc. and Uber Technologies, Inc. are spearheading disruptive models, while Valeo SA, Volkswagen AG, Xpeng Motors Inc., and ZF Friedrichshafen AG are consolidating their positions by creating strategic partnerships and investing in next-generation solutions. This confluence of diverse players not only drives competitive innovation but also fosters an ecosystem that is agile, robust, and highly adaptive to emerging trends.

The report delves into recent significant developments in the AI in Mobility Market, highlighting leading vendors and their innovative profiles. These include Aisin Seiki Co., Ltd., Alphabet Inc., Aurora Innovation, Inc., Baidu, Inc., BMW AG, Denso Corporation, Ford Motor Company, General Motors Company, Intel Corporation, International Business Machines Corp., Magna International Inc., Microsoft Corporation, NVIDIA Corporation, Ouster Inc., Qualcomm Technologies, Inc., Renesas Electronics Corporation, Robert Bosch GmbH, Tesla, Inc., Uber Technologies, Inc., Valeo SA, Volkswagen AG, Xpeng Motors Inc., and ZF Friedrichshafen AG. Actionable Recommendations for Industry Leaders to Stay Ahead

For industry leaders aiming to maintain a competitive edge in a rapidly evolving landscape, the following strategic recommendations can serve as a roadmap for sustained success. First, it is imperative to invest in scalable AI solutions that can adapt to the intricacies of different mobility segments. This includes integrating advanced sensor technologies, embracing robust data analytics frameworks, and investing in simulation tools such as digital twins that allow for virtual testing and scenario planning. Leaders need to anticipate trends rather than react to them, which necessitates the development of agile strategies that can quickly incorporate new innovations.

Second, fostering collaborative ecosystems is essential for driving forward transformative change. Industry players should explore partnerships that bridge technology and manufacturing, as well as collaborations that unify academic research with practical deployments. Such alliances can accelerate the assimilation of emerging technologies and help share the burden of investment costs and risk. Strategic alliances with technology providers, component manufacturers, and even regulatory bodies can provide a more holistic approach to technological adoption and market penetration.

Third, staying attuned to regional market dynamics is critical. A nuanced understanding of local consumer behavior, regulatory environments, and infrastructure capabilities can guide the customization of AI solutions. Leaders should establish dedicated research initiatives to continually assess the impact of regulatory changes and evolving market needs in key regions. Integrating regional insights into the broader corporate strategy helps align business operations with both global and local priorities.

Additionally, it is crucial to cultivate a culture that supports continuous innovation and fosters a willingness to experiment. This involves embracing agile methodologies, encouraging ongoing professional development, and ensuring that teams are equipped with the necessary tools to adapt to a fast-paced technological landscape. Prioritizing investment in human capital can be just as important as investing in technology itself, as the right talent can drive creative problem-solving and innovative thinking.

Investment in robust cybersecurity measures also emerges as a critical factor. AI applications in mobility involve enormous amounts of data and complex networked systems, making them vulnerable to cyber threats. Industry leaders must not only invest in advanced security protocols but also develop contingency plans and regularly update their defenses to safeguard critical systems.

Finally, leaders must commit to sustainability by incorporating environmentally conscious practices into their technological roadmap. The focus on green technologies not only meets the increasing regulatory demands but also resonates with consumers who are increasingly aware of the environmental impact of mobility solutions. Deploying AI to optimize energy consumption, enhance battery performance, and minimize emissions is a dual win that strengthens both corporate responsibility and market positioning.

Conclusion: Integrating AI Innovations to Revolutionize Mobility

As explored throughout this comprehensive overview, the integration of artificial intelligence within the mobility sector is not merely a progressive trend, but a foundational shift that is set to redefine the future of transportation. The insights discussed-from technological advancements and market segmentation to regional dynamics and competitive strategies-illustrate that the successful deployment of AI is contingent upon an organization's ability to adapt, innovate, and collaborate. By understanding the underlying dynamics of how AI serves as a catalyst for change, industry stakeholders can better align their strategic initiatives with the broader trends shaping the mobility landscape.

The evolving digital framework has created an environment where data-driven decision making and real-time interactions are not just possibilities, but necessities. These transformative changes require a delicate balance between innovation and risk management, a combination of visionary strategy and practical execution. Embracing the power of AI has allowed organizations to enhance operational efficiencies, deliver superior customer experiences, and pioneer sustainable mobility solutions that address both today's and tomorrow's challenges.

Ultimately, the future belongs to those who can harness the potential of AI to not only meet current market demands but also to create innovative pathways that anticipate emerging trends. This journey is complex and multifaceted, but the benefits of a well-executed strategy are tremendous, offering a competitive advantage and shaping the trajectory of the mobility industry for years to come.

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. Increasing demand for efficient and sustainable transport systems enhanced by advanced AI capabilities
    • 5.1.1.2. Rise of mobility-as-a-service platforms creating integrated digital transportation ecosystems
    • 5.1.1.3. Growing consumer demand for connected and autonomous vehicle experiences
  • 5.1.2. Restraints
    • 5.1.2.1. Limited availability and inconsistent quality of data required for effective AI modeling
  • 5.1.3. Opportunities
    • 5.1.3.1. Expansion of real-time route optimization and dynamic traffic flow management using machine learning algorithms
    • 5.1.3.2. Integration of natural language processing based customer support and journey planning tools
  • 5.1.4. Challenges
    • 5.1.4.1. Data privacy and security concerns arising from the collection and processing of massive mobility data
• 5.2. Market Segmentation Analysis
  • 5.2.1. Mobility Type: Increasing role of AI in redefining safety, efficiency, and connectivity in land mobility ecosystems

• 5.2.2. Application: Harnessing AI innovations in autonomous driving and driver assistance for next-generation mobility

• 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. AI in Mobility Market, by Mobility Type

• 6.1. Introduction
• 6.2. Air Mobility
• 6.3. Land Mobility
• 6.4. Maritime Mobility

7. AI in Mobility Market, by Technologies Type

• 7.1. Introduction
• 7.2. Computer Vision & Perception
• 7.3. Data Analytics & Big Data
• 7.4. Machine Learning & Deep Learning
• 7.5. Natural Language Processing
• 7.6. Sensor Fusion & IoT Integration
• 7.7. Simulation & Digital Twins

8. AI in Mobility Market, by Application

• 8.1. Introduction
• 8.2. Autonomous Driving & Driver Assistance
• 8.3. Logistics & Supply Chain Optimization
• 8.4. Predictive Maintenance & Diagnostics
• 8.5. Safety & Security
• 8.6. Traffic & Fleet Management

9. Americas AI in Mobility Market

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

10. Asia-Pacific AI in Mobility 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 AI in Mobility 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, 2024
• 12.2. FPNV Positioning Matrix, 2024
• 12.3. Competitive Scenario Analysis
  • 12.3.1. Phenom's acquisition of Bengaluru-based EDGE transforms AI-driven HR solutions
  • 12.3.2. CarDekho launches AI-driven mobility innovation leveraging AR/VR, advanced analytics, and multilingual voice assistants
  • 12.3.3. Stellantis acquired CloudMade's AI framework to enhance in-car experiences with predictive, personalized mobility solutions
• 12.4. Strategy Analysis & Recommendation

Companies Mentioned

• 1. Aisin Seiki Co., Ltd.
• 2. Alphabet Inc.
• 3. Aurora Innovation, Inc.
• 4. Baidu, Inc.
• 5. BMW AG
• 6. Denso Corporation
• 7. Ford Motor Company
• 8. General Motors Company
• 9. Intel Corporation
• 10. International Business Machines Corp.
• 11. Magna International Inc.
• 12. Microsoft Corporation
• 13. NVIDIA Corporation
• 14. Ouster Inc.
• 15. Qualcomm Technologies, Inc.
• 16. Renesas Electronics Corporation
• 17. Robert Bosch GmbH
• 18. Tesla, Inc.
• 19. Uber Technologies, Inc.
• 20. Valeo SA
• 21. Volkswagen AG
• 22. Xpeng Motors Inc.
• 23. ZF Friedrichshafen AG