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市场调查报告书
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1604689

交通运输人工智慧市场：按组件、技术和应用划分 - 2025-2030 年全球预测

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个工作天内

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人工智慧在交通运输市场的价值在2023年为22.5亿美元，预计到2024年将达到25.2亿美元，复合年增长率为13.67%，预计到2030年将达到55.2亿美元。

交通领域人工智慧 (AI) 的范围包括跨多个部门的集成，包括物流、汽车、公共交通和交通管理。在这种情况下，人工智慧的定义扩展到使用计算演算法和机器学习模型来提高交通系统的效率、安全性和决策流程。需要人工智慧来解决现代交通需求的复杂性，提供自动驾驶车辆、预测性维护、路线优化和交通流管理即时资料分析等应用。最终使用领域包括汽车製造商、物流服务提供者、城市规划者、基础设施开发商等。影响该市场成长的主要因素是机器学习能力的进步、汽车巨头投资的增加以及减少与人为错误相关的事故的需求的增加。开发人工智慧平台也存在机会，该平台可以为车联网（V2X）通讯和永续交通解决方案提供支援。

主要市场统计
基准年[2023] 22.5亿美元
预计年份 [2024] 25.2亿美元
预测年份 [2030] 55.2亿美元
复合年增长率（%） 13.67%

影响市场成长的挑战包括与人工智慧实施相关的高成本以及需要大量基础设施投资。资料隐私问题和严格的法律规范也是障碍。此外，市场还面临技术整合到旧有系统以及缺乏管理人工智慧系统的熟练人员的问题。然而，电动车和自动驾驶汽车的发展打开了创新之门，特别是在嵌入智慧电网技术的人工智慧系统中，用于电动车（EV）充电。智慧城市和综合交通网络的日益重视为进一步研究提供了前景。为了利用这些机会，相关人员应关注包括政府、技术提供者和学术机构在内的协作生态系统。投资人才发展和克服监管障碍至关重要。市场的本质是动态且快速发展的，其特点是不断的技术进步和监管调整，需要不断的研究和适应策略。透过优先考虑这些领域，参与者可以增强弹性并利用交通人工智慧的新兴趋势。

市场动态：揭示交通市场中快速发展的人工智慧的关键市场洞察

供需的动态相互作用正在改变交通领域的人工智慧市场。透过了解这些不断变化的市场动态，公司可以准备好做出明智的投资决策、完善策略决策并抓住新的商机。全面了解这些趋势可以帮助企业降低政治、地理、技术、社会和经济领域的风险，并了解消费行为及其对製造成本的影响，并更清楚地了解对采购趋势的影响。

  • 市场驱动因素
    • 全球自动驾驶汽车的采用率迅速增加
    • 对增强型交通解决方案的需求不断增长
    • 政府鼓励在交通领域采用先进技术的倡议
  • 市场限制因素
    • 基于人工智慧的交通解决方案初始投资和实施成本较高
  • 市场机会
    • 在交通运输中采用人工智慧进行预测性维护
    • 公共交通的新用途
  • 市场挑战
    • 基于人工智慧的交通解决方案的互通性和相容性问题

波特五力：驾驭交通人工智慧市场的策略工具

波特的五力框架是了解市场竞争格局的重要工具。波特的五力框架为评估公司的竞争地位和探索策略机会提供了清晰的方法。该框架可帮助公司评估市场动态并确定新业务的盈利。这些见解使公司能够利用自己的优势，解决弱点并避免潜在的挑战，从而确保更强大的市场地位。

PESTLE分析：了解交通市场人工智慧的外部影响

外部宏观环境因素在塑造交通运输市场人工智慧的绩效动态方面发挥着至关重要的作用。对政治、经济、社会、技术、法律和环境因素的分析提供了应对这些影响所需的资讯。透过调查 PESTLE 因素，公司可以更了解潜在的风险和机会。这种分析可以帮助公司预测法规、消费者偏好和经济趋势的变化，并为他们做出积极主动的决策做好准备。

市场占有率分析 了解交通人工智慧市场的竞争格局

运输市场人工智慧的详细市场占有率分析可以对供应商绩效进行全面评估。公司可以透过比较收益、客户群和成长率等关键指标来揭示其竞争地位。该分析揭示了市场集中、分散和整合的趋势，为供应商提供了製定策略决策所需的洞察力，使他们能够在日益激烈的竞争中占有一席之地。

FPNV 定位矩阵运输市场人工智慧供应商的绩效评估

FPNV 定位矩阵是评估交通运输市场人工智慧供应商的关键工具。此矩阵允许业务组织根据供应商的商务策略和产品满意度评估供应商，从而做出符合其目标的明智决策。这四个象限使您能够清晰、准确地划分供应商，并确定最能满足您的策略目标的合作伙伴和解决方案。

人工智慧在策略分析和建议中的运输市场成功之路

对于旨在加强其在全球市场的影响力的公司来说，对交通运输市场人工智慧的策略分析至关重要。透过审查关键资源、能力和绩效指标，公司可以识别成长机会并努力改进。这种方法使您能够克服竞争环境中的挑战，利用新的商机，并取得长期成功。

本报告对市场进行了全面分析，涵盖关键重点领域：

1. 市场渗透率：对当前市场环境的详细审查、主要企业的广泛资料、对其在市场中的影响力和整体影响力的评估。

2. 市场开拓：辨识新兴市场的成长机会，评估现有领域的扩张潜力，并提供未来成长的策略蓝图。

3. 市场多元化：分析近期产品发布、开拓地区、关键产业进展、塑造市场的策略投资。

4. 竞争评估与情报：彻底分析竞争格局，检验市场占有率、业务策略、产品系列、认证、监理核准、专利趋势、主要企业的技术进步等。

5. 产品开发与创新：重点在于有望推动未来市场成长的最尖端科技、研发活动和产品创新。

我们也回答重要问题，以帮助相关人员做出明智的决策：

1.目前的市场规模和未来的成长预测是多少？

2. 哪些产品、区隔市场和地区提供最佳投资机会？

3.塑造市场的主要技术趋势和监管影响是什么？

4.主要厂商的市场占有率和竞争地位如何？

5. 推动供应商市场进入和退出策略的收益来源和策略机会是什么？

目录

第一章 前言

第二章调查方法

第三章执行摘要

第四章市场概况

第五章市场洞察

  • 市场动态
    • 促进因素
      • 自动驾驶汽车的采用在世界各地迅速增加。
      • 对增强型交通解决方案的需求不断增长
      • 政府推动交通运输先进技术引进的倡议
    • 抑制因素
      • 基于人工智慧的交通解决方案初始投资和实施成本较高
    • 机会
      • 在交通运输中引入人工智慧的预测性维护
      • 公共交通的新用途
    • 任务
      • 基于人工智慧的交通解决方案的互通性和相容性问题
  • 市场区隔分析
  • 波特五力分析
  • PESTEL分析
    • 政治的
    • 经济
    • 社群
    • 技术的
    • 合法地
    • 环境

第六章 交通领域的人工智慧市场：按组成部分

  • 硬体
  • 服务
  • 软体

第七章 交通领域的人工智慧市场：依技术分类

  • 电脑视觉
  • 情境意识
  • 深度学习
  • 自然语言处理

第八章交通运输人工智慧市场：依应用分类

  • 自动车牌识别
  • 利用电脑视觉进行停车场管理
  • 行人侦测
  • 路况监测
  • 自动驾驶汽车
  • 流量侦测
  • 交通流量分析

第九章美洲交通运输人工智慧市场

  • 阿根廷
  • 巴西
  • 加拿大
  • 墨西哥
  • 美国

第十章 亚太地区交通运输人工智慧市场

  • 澳洲
  • 中国
  • 印度
  • 印尼
  • 日本
  • 马来西亚
  • 菲律宾
  • 新加坡
  • 韩国
  • 台湾
  • 泰国
  • 越南

第十一章 欧洲、中东和非洲交通运输人工智慧市场

  • 丹麦
  • 埃及
  • 芬兰
  • 法国
  • 德国
  • 以色列
  • 义大利
  • 荷兰
  • 奈及利亚
  • 挪威
  • 波兰
  • 卡达
  • 俄罗斯
  • 沙乌地阿拉伯
  • 南非
  • 西班牙
  • 瑞典
  • 瑞士
  • 土耳其
  • 阿拉伯聯合大公国
  • 英国

第十二章竞争格局

  • 2023 年市场占有率分析
  • FPNV 定位矩阵，2023
  • 竞争场景分析
  • 战略分析和建议

公司名单

  • 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