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封面
市场调查报告书
商品编码
1433438

2023-2030 年交通市场中的全球人工智慧 (AI)

Global Artificial Intelligence (AI) in Transportation Market 2023-2030
出版日期: | 出版商: Orion Market Research | 英文 190 Pages | 商品交期: 2-3个工作天内

价格

预计在预测期内（2024-2031 年），全球交通市场人工智慧将以 12.1% 的CAGR成长。生成式人工智慧的日益普及和机器学习模型的改进是支持全球市场成长的关键因素。生成式人工智慧在互联交通领域的影响已在资料智慧和人工智慧中得到认可，利用人工智慧和机器学习模型。市场参与者也专注于在交通领域引入基于人工智慧的生成解决方案，以进一步促进市场成长。例如，2023 年 6 月，Geotab Inc. 宣布透过在互联交通产业建立新的机器学习模型，将生成式 AI 模型引入其平台。透过让参与的消费者轻鬆存取有关其车辆的效率、可持续性和性能的按需信息，提高互联交通的标准。

细分市场前景

全球交通市场人工智慧按产品、流程和应用进行细分。根据产品，市场分为硬体和软体。根据流程，市场可细分为讯号辨识、物件辨识和资料探勘。此外，根据应用，市场细分为交通管理、道路安全、停车管理、汽车远端资讯处理和其他应用（车牌识别）。在这些产品中，由于使用物联网和人工智慧技术开发了用于预测性车队维护的先进软体，预计软体细分市场将占据相当大的市场份额。

汽车远端资讯处理细分市场预计将在全球交通运输市场人工智慧中占据相当大的份额

其中，汽车远端资讯处理细分领域预计将在全球交通运输市场人工智慧中占据相当大的份额。该细分市场的成长归因于运输车队营运商越来越多地采用基于人工智慧的整合解决方案。运输车队营运商将其车队转变为能源和混合燃料运营，并努力提高合规性、生产力和安全性。例如，2023年10月，Teletrac Navman US Ltd.推出了TN360 Transport——一款专注于运输行业需求的基于人工智慧的整合解决方案。该平台提供了广泛的有效功能，旨在提高车队营运的可持续性、确保合规标准、加快营运并提高安全性。

区域展望

全球交通人工智慧市场根据地理位置进一步细分，包括北美（美国和加拿大）、欧洲（英国、义大利、西班牙、德国、法国和欧洲其他地区）、亚太地区（印度、中国、日本、韩国和亚洲其他地区）以及世界其他地区（中东和非洲以及拉丁美洲）。其中，由于人工智慧在交通运输中的应用越来越多，以最大限度地减少交通拥堵、提高乘客安全并降低事故风险，预计亚太地区将在全球市场中占据显着份额。

北美地区预计全球人工智慧运输市场CAGR显着成长

在所有地区中，北美地区预计在预测期内将以相当大的CAGR成长。区域成长归因于越来越多地采用基于人工智慧的技术来优化交通并提高交通系统的整体效率。市场参与者透过改善道路安全、优化交通号誌配时、增强最后一哩路的交付以及提供市场洞察来提供基于技术的交通解决方案。例如，2023 年 11 月，INRIX, Inc. 推出了 INRIX Compass，这是一种创新的人工智慧驱动的交通智慧技术。 Compass 采用产生人工智慧 (GenAI) 和 INRIX 约 50 PB 的资料湖来识别根本原因、提供主动建议并有效处理与交通相关的问题。

市场参与者展望

服务全球交通市场人工智慧的主要公司包括AltexSoft Inc.、Aurora Innovation Inc.、通用汽车、英特尔公司、NVIDIA公司等。市场参与者透过各种策略（包括併购、合作、合作、融资和新产品发布），为市场成长做出了巨大贡献，以保持市场竞争力。例如，2021 年 6 月，Cubic Corp. 宣布与 CVEDIA 建立 Cubic 交通系统 (CTS) 业务部门合作伙伴关係，为 GRIDSMART 全向摄影机和其他智慧交通系统 (ITS) 解决方案建立大规模深度学习模型。

报告涵盖：

  • 2023年市场价值资料分析及2031年预测。
  • 每个细分市场的年化市场收入（百万美元）。
  • 主要地理区域的国家分析。
  • 全球人工智慧运输市场的主要营运公司。根据现有资料，报告中还提供了与新产品发布相关的资讯以及相关新闻。
  • 透过确定未来强劲成长的关键细分市场来分析业务策略。
  • 市场进入和市场扩张策略分析。
  • 透过识别市场中「谁的立场」来制定竞争策略。

目录

第 1 章：报告摘要

  • 目前行业分析及成长潜力展望
  • 研究方法和工具
  • 市场区隔
    • 按细分
    • 按地区

第 2 章：市场概述与见解

  • 报告范围
  • 分析师见解和当前市场趋势
    • 主要发现
    • 建议
    • 结论

第 3 章：竞争格局

  • 主要公司分析
  • Aurora Innovation Inc.
    • 概述
    • 财务分析
    • SWOT分析
    • 最近的发展
  • Intel Corp.
    • 概述
    • 财务分析
    • SWOT分析
    • 最近的发展
  • NVIDIA Corp.
    • 概述
    • 财务分析
    • SWOT分析
    • 最近的发展
  • 关键策略分析

第 4 章：市场细分

  • 全球交通运输市场中的人工智慧（按产品划分）
    • 硬体
    • 软体
  • 按流程分類的全球交通运输市场人工智慧
    • 讯号识别
    • 物体辨识
    • 资料探勘
  • 全球交通运输市场人工智慧应用
    • 交通管理
    • 道路安全与安保
    • 停车管理
    • 汽车远端资讯处理
    • 其他应用（车牌辨识）

第 5 章：区域分析

  • 北美洲
    • 美国
    • 加拿大
  • 欧洲
    • 英国
    • 德国
    • 义大利
    • 西班牙
    • 法国
    • 欧洲其他地区
  • 亚太
    • 中国
    • 印度
    • 日本
    • 韩国
    • 亚太其他地区
  • 世界其他地区

第 6 章：公司简介

  • A.I. Tech srl
  • AltexSoft Inc.
  • Aptiv PLC
  • Aurora Innovation Inc.
  • Embark Trucks, Inc.
  • Ericsson Group
  • General Motors
  • Kyndryl Inc.
  • Mobileye Global Inc.
  • Nuro, Inc.
  • Oxa Autonomy Ltd.
  • PlusAI, Inc.
  • Pony.ai
  • PTV Planung Transport Verkehr GmbH
  • Tesla, Inc.
  • TuSimple Holdings, Inc.
  • Uber Technologies Inc.
  • Waymo LLC
Product Code: OMR2028095

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

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

Segmental Outlook

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

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

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

Regional Outlook

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

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

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

Market Players Outlook

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

The Report Covers:

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

Table of Contents

1. Report Summary

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

2. Market Overview and Insights

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

3. Competitive Landscape

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

4. Market Segmentation

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

5. Regional Analysis

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

6. Company Profiles

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

LIST OF TABLES

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

LIST OF FIGURES

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