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市场调查报告书
商品编码
1508820

交通运输领域的人工智慧市场:按提供的服务、按机器学习技术、按应用、按地区

Artificial Intelligence in Transportation Market, By Offering, By Machine Learning Technology, By Application, By Geography

出版日期: | 出版商: Coherent Market Insights | 英文 160 Pages | 商品交期: 2-3个工作天内

价格
简介目录

预计2024年全球交通运输人工智慧市场规模将达21.1亿美元,预计2031年将达65.1亿美元,2024年至2031年复合年增长率为17.5%。

图 1. 2024 年交通运输领域人工智慧市场占有率(%)(按地区)
交通运输市场中的人工智慧-IMG1

人工智慧 (AI) 越来越多地应用于各个行业,以高效地完成复杂的任务。人工智慧在交通领域有着广泛的应用,从物流和供应链管理到自动驾驶汽车。人工智慧正在帮助物流公司优化路线和车队管理。使用电脑视觉和其他人工智慧技术的自动驾驶汽车可能会彻底改变交通运输。借助车辆和基础设施资料,人工智慧模型可用于车辆和基础设施的预测性维护。

市场动态:

全球人工智慧在运输市场的成长是由物流和供应链业务优化需求的不断增长所推动的。基于人工智慧的车队管理和预测分析正在帮助企业降低成本并提高效率。此外,深度学习等人工智慧技术的市场开拓及其在自动驾驶汽车电脑视觉中的应用可能会提供市场成长机会。然而,安全和资料隐私问题以及自动驾驶汽车缺乏监管可能会阻碍其广泛采用。许多国家缺乏支援自动驾驶技术的基础设施也可能阻碍市场成长。利用人工智慧功能进行预测性维护以实现运输资产节省的日益增长的趋势可能会提供市场成长机会。

本研究的主要特点

  • 本报告对全球人工智慧在交通领域的市场进行了详细分析,并提供了以2023年为基准年的预测期(2024-2031年)的市场规模和年复合成长率(CAGR%)。
  • 它还阐明了各个细分市场的潜在商机,并说明了该市场有吸引力的投资提案矩阵。
  • 它还提供了有关市场驱动因素、限制因素、机会、新产品发布和核准、市场趋势、区域前景、主要企业采取的竞争策略等的主要考察。
  • 它根据公司亮点、产品系列、主要亮点、财务表现和策略等参数,介绍了全球运输人工智慧市场的主要企业。
  • 该报告的见解将使负责人和公司经营团队能够就未来的产品发布、类型升级、市场扩张和行销策略做出明智的决策。
  • 这份全球市场报告迎合了该行业的各种相关人员,如投资者、供应商、产品製造商、经销商、新进业者和财务分析师。
  • 透过用于分析全球交通运输市场人工智慧的各种策略矩阵,将有助于相关人员做出决策。

目录

第一章 研究目的与前提

  • 研究目标
  • 先决条件
  • 简称

第二章 市场展望

  • 报告说明
    • 市场定义和范围
  • 执行摘要
  • Coherent Opportunity Map(COM)

第三章市场动态、法规及趋势分析

  • 市场动态
    • 促进因素
    • 抑制因素
    • 市场机会
  • 监管场景
  • 产业动态
  • 併购
  • 新系统的推出/核准
  • COVID-19 大流行的影响

第 4 章:交通领域人工智慧的全球市场:按服务提供,2019-2031 年

  • 硬体
  • 软体

第五章 全球交通运输人工智慧市场:依机器学习技术划分,2019-2031

  • 深度学习
  • 电脑视觉
  • 情境意识
  • 自然语言处理(NLP)

第六章 交通领域人工智慧的全球市场:依应用分类,2019-2031

  • 自动驾驶卡车
  • 卡车人机介面
  • 半自动卡车

第七章 全球交通运输领域人工智慧市场:依地区划分,2019-2031

  • 北美洲
  • 欧洲
  • 亚太地区
  • 拉丁美洲
  • 中东/非洲

第八章 竞争格局

  • 公司简介
    • Peloton
    • Paccar
    • Scania
    • Valeo
    • Xevo
    • ZF
    • Zonar
    • Nvidia Corporation
    • Siemens Mobility
    • NEC Corporation
    • Microsoft Corporation
    • IBM Corporation
    • Robert Bosch GmbH
    • Continental AG
    • Volvo Group

第九章 分析师建议

  • 命运之轮
  • 分析师观点
  • Coherent Opportunity Map(COM)

第10章 参考文献与调查方法

  • 参考
  • 调查方法
简介目录
Product Code: CMI7079

Global artificial intelligence in transportation market is estimated to be valued at US$ 2.11 Bn in 2024 and is expected to reach US$ 6.51 Bn by 2031, exhibiting a compound annual growth rate (CAGR) of 17.5% from 2024 to 2031.

Figure 1. Artificial Intelligence in Transportation Market Share (%), By Region, 2024
Artificial Intelligence in Transportation Market - IMG1

Artificial intelligence (AI) is being increasingly used across various industries to carry out complex tasks efficiently. AI is used in widespread applications in transportation sector ranging logistics and supply chain management to autonomous vehicles. AI helps to optimize routing and fleet management for logistics companies. Self-driving cars using computer vision and other AI techniques can revolutionize transportation. With vehicle and infrastructure data, AI models are being used for predictive maintenance of vehicles and infrastructure.

Market Dynamics:

Global artificial intelligence in transportation market growth is driven by rising demand for optimization of logistics and supply chain operations. AI-based fleet management and predictive analytics are helping companies to lower costs and improve efficiencies. Furthermore, development of AI techniques such as deep learning and their application in computer vision for autonomous vehicles can offer market growth opportunity. However, concerns around safety, data privacy, and the lack of regulations for self-driving vehicles can hamper its adoption. Lack of infrastructure in many countries to support autonomous technologies can also hamper the market growth. Rising trend of leveraging AI capabilities for predictive maintenance to achieve savings on transportation assets can offer market growth opportunities.

Key features of the study:

  • This report provides in-depth analysis of the global artificial intelligence in transportation market, and provides market size (US$ Billion) and compound annual growth rate (CAGR%) for the forecast period (2024-2031), considering 2023 as the base year.
  • It elucidates potential revenue opportunities across different segments and explains attractive investment proposition matrices for this market.
  • This study also provides key insights about market drivers, restraints, opportunities, new product launches or approval, market trends, regional outlook, and competitive strategies adopted by key players.
  • It profiles key players in the global artificial intelligence in transportation market based on the following parameters - company highlights, products portfolio, key highlights, financial performance, and strategies.
  • Key companies covered as a part of this study include Peloton, Paccar, Scania, Valeo, Xevo, ZF, Zonar, Nvidia Corporation, Siemens Mobility, NEC Corporation, Microsoft Corporation, IBM Corporation, Robert Bosch GmbH, Continental AG, Volvo Group.
  • Insights from this report would allow marketers and the management authorities of the companies to make informed decisions regarding their future product launches, type up-gradation, market expansion, and marketing tactics.
  • Global artificial intelligence in transportation market report caters to various stakeholders in this industry including investors, suppliers, product manufacturers, distributors, new entrants, and financial analysts.
  • Stakeholders would have ease in decision-making through various strategy matrices used in analysing the global artificial intelligence in transportation market.

Detailed Segmentation:

  • By Offering
    • Hardware
    • Software
  • By Machine Learning Technology
    • Deep Learning
    • Computer Vision
    • Context Awareness
    • Natural Language Processing (NLP)
  • By Application
    • Autonomous Trucks
    • HMI in Trucks
    • Semi-Autonomous Trucks
  • By Regional
    • North America
    • Europe
    • Asia Pacific
    • Latin America
    • Middle East & Africa
  • Key Players Insights
    • Peloton
    • Paccar
    • Scania
    • Valeo
    • Xevo
    • ZF
    • Zonar
    • Nvidia Corporation
    • Siemens Mobility
    • NEC Corporation
    • Microsoft Corporation
    • IBM Corporation
    • Robert Bosch GmbH
    • Continental AG
    • Volvo Group

Table of Contents

1. Research Objectives and Assumptions

  • Research Objectives
  • Assumptions
  • Abbreviations

2. Market Purview

  • Report Description
    • Market Definition and Scope
  • Executive Summary
    • Market Snippet, By Offering
    • Market Snippet, By Machine Learning Technology
    • Market Snippet, By Application
    • Market Snippet, By Region
  • Coherent Opportunity Map (COM)

3. Market Dynamics, Regulations, and Trends Analysis

  • Market Dynamics
    • Drivers
    • Restraints
    • Market Opportunities
  • Regulatory Scenario
  • Industry Trend
  • Merger and Acquisitions
  • New system Launch/Approvals
  • Impact of COVID-19 Pandemic

4. Global Artificial Intelligence in Transportation Market, By Offering, 2019-2031, (US$ Bn)

  • Introduction
    • Market Share Analysis, 2024 and 2031 (%)
    • Y-o-Y Growth Analysis, 2019 - 2031
  • Hardware
    • Introduction
    • Market Size and Forecast, 2019-2031, (US$ Bn)
  • Software
    • Introduction
    • Market Size and Forecast, 2019-2031, (US$ Bn)

5. Global Artificial Intelligence in Transportation Market, By Machine Learning Technology, 2019-2031, (US$ Bn)

  • Introduction
    • Market Share Analysis, 2024 and 2031 (%)
    • Y-o-Y Growth Analysis, 2019 - 2031
  • Deep Learning
    • Introduction
    • Market Size and Forecast, 2019-2031, (US$ Bn)
  • Computer Vision
    • Introduction
    • Market Size and Forecast, 2019-2031, (US$ Bn)
  • Context Awareness
    • Introduction
    • Market Size and Forecast, 2019-2031, (US$ Bn)
  • Natural Language Processing (NLP)
    • Introduction
    • Market Size and Forecast, 2019-2031, (US$ Bn)

6. Global Artificial Intelligence in Transportation Market, By Application, 2019-2031, (US$ Bn)

  • Introduction
    • Market Share Analysis, 2024 and 2031 (%)
    • Y-o-Y Growth Analysis, 2019 - 2031
  • Autonomous Trucks
    • Introduction
    • Market Size and Forecast, 2019-2031, (US$ Bn)
  • HMI in Trucks
    • Introduction
    • Market Size and Forecast, 2019-2031, (US$ Bn)
  • Semi-Autonomous Trucks
    • Introduction
    • Market Size and Forecast, 2019-2031, (US$ Bn)

7. Global Artificial Intelligence in Transportation Market, By Region, 2019-2031, (US$ Bn)

  • Introduction
    • Market Share Analysis, By Region, 2024 and 2031 (%)
  • North America
    • Regional Trends
    • Market Size and Forecast, By Offering, 2019-2031, (US$ Bn)
    • Market Size and Forecast, By Machine Learning Technology, 2019-2031, (US$ Bn)
    • Market Size and Forecast, By Application, 2019-2031, (US$ Bn)
    • Market Size and Forecast, By Country, 2019-2031, (US$ Bn)
      • U.S.
      • Canada
  • Europe
    • Regional Trends
    • Market Size and Forecast, By Offering, 2019-2031, (US$ Bn)
    • Market Size and Forecast, By Machine Learning Technology, 2019-2031, (US$ Bn)
    • Market Size and Forecast, By Application, 2019-2031, (US$ Bn)
    • Market Size and Forecast, By Country, 2019-2031, (US$ Bn)
      • U.K.
      • Germany
      • France
      • Russia
      • Rest of Europe
  • Asia Pacific
    • Regional Trends
    • Market Size and Forecast, By Offering, 2019-2031, (US$ Bn)
    • Market Size and Forecast, By Machine Learning Technology, 2019-2031, (US$ Bn)
    • Market Size and Forecast, By Application, 2019-2031, (US$ Bn)
    • Market Size and Forecast, By Country, 2019-2031, (US$ Bn)
      • China
      • India
      • Japan
      • ASEAN
      • Australia
      • South Korea
      • Rest of Asia Pacific
  • Latin America
    • Regional Trends
    • Market Size and Forecast, By Offering, 2019-2031, (US$ Bn)
    • Market Size and Forecast, By Machine Learning Technology, 2019-2031, (US$ Bn)
    • Market Size and Forecast, By Application, 2019-2031, (US$ Bn)
    • Market Size and Forecast, By Country, 2019-2031, (US$ Bn)
      • Brazil
      • Argentina
      • Mexico
      • Rest of Latin America
  • Middle East & Africa
    • Regional Trends
    • Market Size and Forecast, By Offering, 2019-2031, (US$ Bn)
    • Market Size and Forecast, By Machine Learning Technology, 2019-2031, (US$ Bn)
    • Market Size and Forecast, By Application, 2019-2031, (US$ Bn)
    • Market Size and Forecast, By Country, 2019-2031, (US$ Bn)
      • South Africa
      • GCC Countries
      • Rest of the Middle East & Africa

8. Competitive Landscape

  • Company Profiles
    • Peloton
      • Company Overview
      • Product Portfolio
      • Financial Performance
      • Key Strategies
      • Recent Developments/Updates
    • Paccar
      • Company Overview
      • Product Portfolio
      • Financial Performance
      • Key Strategies
      • Recent Developments/Updates
    • Scania
      • Company Overview
      • Product Portfolio
      • Financial Performance
      • Key Strategies
      • Recent Developments/Updates
    • Valeo
      • Company Overview
      • Product Portfolio
      • Financial Performance
      • Key Strategies
      • Recent Developments/Updates
    • Xevo
      • Company Overview
      • Product Portfolio
      • Financial Performance
      • Key Strategies
      • Recent Developments/Updates
    • ZF
      • Company Overview
      • Product Portfolio
      • Financial Performance
      • Key Strategies
      • Recent Developments/Updates
    • Zonar
      • Company Overview
      • Product Portfolio
      • Financial Performance
      • Key Strategies
      • Recent Developments/Updates
    • Nvidia Corporation
      • Company Overview
      • Product Portfolio
      • Financial Performance
      • Key Strategies
      • Recent Developments/Updates
    • Siemens Mobility
      • Company Overview
      • Product Portfolio
      • Financial Performance
      • Key Strategies
      • Recent Developments/Updates
    • NEC Corporation
      • Company Overview
      • Product Portfolio
      • Financial Performance
      • Key Strategies
      • Recent Developments/Updates
    • Microsoft Corporation
      • Company Overview
      • Product Portfolio
      • Financial Performance
      • Key Strategies
      • Recent Developments/Updates
    • IBM Corporation
      • Company Overview
      • Product Portfolio
      • Financial Performance
      • Key Strategies
      • Recent Developments/Updates
    • Robert Bosch GmbH
      • Company Overview
      • Product Portfolio
      • Financial Performance
      • Key Strategies
      • Recent Developments/Updates
    • Continental AG
      • Company Overview
      • Product Portfolio
      • Financial Performance
      • Key Strategies
      • Recent Developments/Updates
    • Volvo Group
      • Company Overview
      • Product Portfolio
      • Financial Performance
      • Key Strategies
      • Recent Developments/Updates

9. Analyst Recommendations

  • Wheel of Fortune
  • Analyst View
  • Coherent Opportunity Map

10. Reference and Research Methodology

  • References
  • Research Methodology
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