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交通運輸人工智慧市場：按組件、技術和應用分類 - 2025-2030 年全球預測

Artificial Intelligence in Transportation Market by Component (Hardware, Services, Software), Technology (Computer Vision, Context Awareness, Deep Learning), Application - Global Forecast 2025-2030
出版日期: | 出版商: 360iResearch | 英文 194 Pages | 商品交期: 最快1-2個工作天內

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人工智慧在交通運輸市場的價值在2023年為22.5億美元，預計到2024年將達到25.2億美元，複合年成長率為13.67%，預計到2030年將達到55.2億美元。

交通領域人工智慧 (AI) 的範圍包括跨多個部門的整合，包括物流、汽車、公共交通和交通管理。在這種情況下，人工智慧的定義擴展到使用計算演算法和機器學習模型來提高交通系統的效率、安全性和決策流程。需要人工智慧來解決現代交通需求的複雜性，提供自動駕駛車輛、預測性維護、路線最佳化和交通流管理即時資料分析等應用。最終使用領域包括汽車製造商、物流服務提供者、城市規劃者、基礎設施開發商等。影響該市場成長的主要因素是機器學習能力的進步、汽車巨頭投資的增加以及減少與人為錯誤相關的事故的需求的增加。開發人工智慧平台也存在機會，該平台可以為車聯網（V2X）通訊和永續交通解決方案提供支援。

主要市場統計
基準年[2023] 22.5億美元
預計年份 [2024] 25.2億美元
預測年份 [2030] 55.2億美元
複合年成長率（%） 13.67%

影響市場成長的挑戰包括與人工智慧實施相關的高成本以及需要大量基礎設施投資。資料隱私問題和嚴格的法律規範也是障礙。此外，市場還面臨技術整合到舊有系統以及缺乏管理人工智慧系統的熟練人員的問題。然而，電動車和自動駕駛汽車的發展打開了創新之門，特別是在嵌入智慧電網技術的人工智慧系統中，用於電動車（EV）充電。智慧城市和綜合交通網路的日益重視為進一步研究提供了前景。為了利用這些機會，相關人員應關注包括政府、技術提供者和學術機構在內的協作生態系統。投資人才發展和克服監管障礙至關重要。市場的本質是動態且快速發展的，其特點是不斷的技術進步和監管調整，需要不斷的研究和適應策略。透過優先考慮這些領域，參與者可以增強彈性並利用交通人工智慧的新興趨勢。

市場動態：揭示交通市場中快速發展的人工智慧的關鍵市場洞察

供需的動態相互作用正在改變交通領域的人工智慧市場。透過了解這些不斷變化的市場動態，公司可以準備好做出明智的投資決策、完善策略決策並抓住新的商機。全面了解這些趨勢可以幫助企業降低政治、地理、技術、社會和經濟領域的風險，並了解消費行為及其對製造成本的影響，並更清楚地了解對採購趨勢的影響。

  • 市場促進因素
    • 全球自動駕駛汽車的採用率迅速增加
    • 對增強型交通解決方案的需求不斷成長
    • 政府鼓勵在交通領域採用先進技術的舉措
  • 市場限制因素
    • 基於人工智慧的交通解決方案初始投資和實施成本較高
  • 市場機會
    • 在交通運輸中採用人工智慧進行預測性維護
    • 公共交通的新用途
  • 市場挑戰
    • 基於人工智慧的交通解決方案的互通性和相容性問題

波特五力：駕馭交通人工智慧市場的策略工具

波特的五力框架是了解市場競爭格局的重要工具。波特的五力框架為評估公司的競爭地位和探索策略機會提供了清晰的方法。該框架可幫助公司評估市場動態並確定新業務的盈利。這些見解使公司能夠利用自己的優勢，解決弱點並避免潛在的挑戰，從而確保更強大的市場地位。

PESTLE分析：了解交通市場人工智慧的外部影響

外部宏觀環境因素在塑造交通運輸市場人工智慧的績效動態方面發揮著至關重要的作用。對政治、經濟、社會、技術、法律和環境因素的分析提供了應對這些影響所需的資訊。透過調查 PESTLE 因素，公司可以更了解潛在的風險和機會。這種分析可以幫助公司預測法規、消費者偏好和經濟趨勢的變化，並為他們做出積極主動的決策做好準備。

市場佔有率分析 了解交通人工智慧市場的競爭格局

運輸市場人工智慧的詳細市場佔有率分析可以對供應商績效進行全面評估。公司可以透過比較收益、客戶群和成長率等關鍵指標來揭示其競爭地位。該分析揭示了市場集中、分散和整合的趨勢，為供應商提供了製定策略決策所需的洞察力，使他們能夠在日益激烈的競爭中佔有一席之地。

FPNV 定位矩陣運輸市場人工智慧供應商的績效評估

FPNV 定位矩陣是評估交通運輸市場人工智慧供應商的關鍵工具。此矩陣允許業務組織根據供應商的商務策略和產品滿意度評估供應商，從而做出符合其目標的明智決策。這四個象限使您能夠清晰、準確地分類供應商，並確定最能滿足您的策略目標的合作夥伴和解決方案。

人工智慧在策略分析和建議中的運輸市場成功之路

對於旨在加強其在全球市場的影響力的公司來說，對交通運輸市場人工智慧的策略分析至關重要。透過審查關鍵資源、能力和績效指標，公司可以識別成長機會並努力改進。這種方法使您能夠克服競爭環境中的挑戰，利用新的商機，並取得長期成功。

本報告對市場進行了全面分析，涵蓋關鍵重點領域：

1. 市場滲透率：對當前市場環境的詳細審查、主要企業的廣泛資料、對其在市場中的影響力和整體影響力的評估。

2. 市場開拓：辨識新興市場的成長機會，評估現有領域的擴張潛力，並提供未來成長的策略藍圖。

3. 市場多元化：分析近期產品發布、開拓地區、關鍵產業進展、塑造市場的策略投資。

4. 競爭評估與情報：徹底分析競爭格局，檢驗市場佔有率、業務策略、產品系列、認證、監理核准、專利趨勢、主要企業的技術進步等。

5. 產品開發與創新：重點在於有望推動未來市場成長的最尖端科技、研發活動和產品創新。

我們也回答重要問題，以幫助相關人員做出明智的決策：

1.目前的市場規模和未來的成長預測是多少？

2. 哪些產品、區隔市場和地區提供最佳投資機會？

3.塑造市場的主要技術趨勢和監管影響是什麼？

4.主要廠商的市場佔有率和競爭地位如何？

5. 推動供應商市場進入和退出策略的收益來源和策略機會是什麼？

目錄

第1章 前言

第2章調查方法

第3章執行摘要

第4章市場概況

第5章市場洞察

  • 市場動態
    • 促進因素
      • 自動駕駛汽車的採用在世界各地迅速增加。
      • 對增強型交通解決方案的需求不斷成長
      • 政府推動交通運輸先進技術引進的舉措
    • 抑制因素
      • 基於人工智慧的交通解決方案初始投資和實施成本較高
    • 機會
      • 在交通運輸中引入人工智慧的預測性維護
      • 公共交通的新用途
    • 任務
      • 基於人工智慧的交通解決方案的互通性和相容性問題
  • 市場區隔分析
  • 波特五力分析
  • PESTEL分析
    • 政治的
    • 經濟
    • 社群
    • 技術的
    • 合法地
    • 環境

第6章 交通領域的人工智慧市場：按組成部分

  • 硬體
  • 服務
  • 軟體

第7章 交通領域的人工智慧市場：依技術分類

  • 電腦視覺
  • 情境意識
  • 深度學習
  • 自然語言處理

第8章交通運輸人工智慧市場：依應用分類

  • 自動車牌識別
  • 利用電腦視覺進行停車場管理
  • 行人偵測
  • 路況監測
  • 自動駕駛汽車
  • 流量偵測
  • 交通流量分析

第9章美洲交通運輸人工智慧市場

  • 阿根廷
  • 巴西
  • 加拿大
  • 墨西哥
  • 美國

第10章 亞太地區交通運輸人工智慧市場

  • 澳洲
  • 中國
  • 印度
  • 印尼
  • 日本
  • 馬來西亞
  • 菲律賓
  • 新加坡
  • 韓國
  • 台灣
  • 泰國
  • 越南

第11章 歐洲、中東和非洲交通運輸人工智慧市場

  • 丹麥
  • 埃及
  • 芬蘭
  • 法國
  • 德國
  • 以色列
  • 義大利
  • 荷蘭
  • 奈及利亞
  • 挪威
  • 波蘭
  • 卡達
  • 俄羅斯
  • 沙烏地阿拉伯
  • 南非
  • 西班牙
  • 瑞典
  • 瑞士
  • 土耳其
  • 阿拉伯聯合大公國
  • 英國

第12章競爭格局

  • 2023 年市場佔有率分析
  • FPNV 定位矩陣，2023
  • 競爭場景分析
  • 戰略分析和建議

公司名單

  • 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
Product Code: MRR-69324464D21F

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.

KEY MARKET STATISTICS
Base Year [2023] USD 2.25 billion
Estimated Year [2024] USD 2.52 billion
Forecast Year [2030] USD 5.52 billion
CAGR (%) 13.67%

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

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