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市場調查報告書
商品編碼
1508820

交通運輸領域的人工智慧市場:按提供的服務、按機器學習技術、按應用、按地區

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個工作天內

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簡介目錄

預計2024年全球交通運輸人工智慧市場規模將達21.1億美元,預計2031年將達65.1億美元,2024年至2031年複合年成長率為17.5%。

圖 1. 2024 年交通運輸領域人工智慧市場佔有率(%)(按地區)
交通運輸市場中的人工智慧-IMG1

人工智慧 (AI) 擴大應用於各個行業,以高效地完成複雜的任務。人工智慧在交通領域有著廣泛的應用,從物流和供應鏈管理到自動駕駛汽車。人工智慧正在幫助物流公司最佳化路線和車隊管理。使用電腦視覺和其他人工智慧技術的自動駕駛汽車可能會徹底改變交通運輸。借助車輛和基礎設施資料,人工智慧模型可用於車輛和基礎設施的預測性維護。

市場動態:

全球人工智慧在運輸市場的成長是由物流和供應鏈業務最佳化需求的不斷成長所推動的。基於人工智慧的車隊管理和預測分析正在幫助企業降低成本並提高效率。此外,深度學習等人工智慧技術的市場開拓及其在自動駕駛汽車電腦視覺中的應用可能會提供市場成長機會。然而,安全和資料隱私問題以及自動駕駛汽車缺乏監管可能會阻礙其廣泛採用。許多國家缺乏支援自動駕駛技術的基礎設施也可能阻礙市場成長。利用人工智慧功能進行預測性維護以實現運輸資產節省的日益成長的趨勢可能會提供市場成長機會。

本研究的主要特點

  • 本報告對全球人工智慧在交通領域的市場進行了詳細分析,並提供了以2023年為基準年的預測期(2024-2031年)的市場規模和年複合成長率(CAGR%)。
  • 它還闡明了各個細分市場的潛在商機,並說明了該市場有吸引力的投資提案矩陣。
  • 它還提供了有關市場促進因素、限制因素、機會、新產品發布和核准、市場趨勢、區域前景、主要企業採取的競爭策略等的主要考察。
  • 它根據公司亮點、產品系列、主要亮點、財務表現和策略等參數,介紹了全球運輸人工智慧市場的主要企業。
  • 該報告的見解將使負責人和公司經營團隊能夠就未來的產品發布、類型升級、市場擴張和行銷策略做出明智的決策。
  • 這份全球市場報告迎合了該行業的各種相關人員,如投資者、供應商、產品製造商、經銷商、新進業者和財務分析師。
  • 透過用於分析全球交通運輸市場人工智慧的各種策略矩陣,將有助於相關人員做出決策。

目錄

第1章 研究目的與前提

  • 研究目標
  • 先決條件
  • 簡稱

第2章 市場展望

  • 報告說明
    • 市場定義和範圍
  • 執行摘要
  • Coherent Opportunity Map(COM)

第3章市場動態、法規及趨勢分析

  • 市場動態
    • 促進因素
    • 抑制因素
    • 市場機會
  • 監管場景
  • 產業動態
  • 併購
  • 新系統的推出/核准
  • COVID-19 大流行的影響

第 4 章:交通領域人工智慧的全球市場:按服務提供,2019-2031 年

  • 硬體
  • 軟體

第5章 全球交通運輸人工智慧市場:依機器學習技術分類,2019-2031

  • 深度學習
  • 電腦視覺
  • 情境意識
  • 自然語言處理(NLP)

第6章 交通領域人工智慧的全球市場:依應用分類,2019-2031

  • 自動駕駛卡車
  • 卡車人機介面
  • 半自動卡車

第7章 全球交通運輸領域人工智慧市場:依地區分類,2019-2031

  • 北美洲
  • 歐洲
  • 亞太地區
  • 拉丁美洲
  • 中東/非洲

第8章 競爭格局

  • 公司簡介
    • 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9章 分析師建議

  • 命運之輪
  • 分析師觀點
  • Coherent Opportunity Map(COM)

第10章 參考文獻與調查方法

  • 參考
  • 調查方法
簡介目錄
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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