¡Ø Ãß¼® ¿¬ÈÞ ÈÞ¹«¾È³» : 2024³â 9¿ù 16ÀÏ(¿ù) ~ 2024³â 9¿ù 18ÀÏ(¼ö)

½ÃÀ庸°í¼­
»óÇ°ÄÚµå
1508820

¿î¼Û ºÐ¾ß ÀΰøÁö´É ½ÃÀå : Á¦°ø ¼­ºñ½ºº°, ¸Ó½Å·¯´× ±â¼úº°, ¿ëµµº°, Áö¿ªº°

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

¹ßÇàÀÏ: | ¸®¼­Ä¡»ç: Coherent Market Insights | ÆäÀÌÁö Á¤º¸: ¿µ¹® | ¹è¼Û¾È³» : 2-3ÀÏ (¿µ¾÷ÀÏ ±âÁØ)

    
    
    




¡Ø º» »óÇ°Àº ¿µ¹® ÀÚ·á·Î Çѱ۰ú ¿µ¹® ¸ñÂ÷¿¡ ºÒÀÏÄ¡ÇÏ´Â ³»¿ëÀÌ ÀÖÀ» °æ¿ì ¿µ¹®À» ¿ì¼±ÇÕ´Ï´Ù. Á¤È®ÇÑ °ËÅ並 À§ÇØ ¿µ¹® ¸ñÂ÷¸¦ Âü°íÇØÁֽñ⠹ٶø´Ï´Ù.

¿î¼Û ºÐ¾ß ÀΰøÁö´É ¼¼°è ½ÃÀåÀº 2024³â 21¾ï 1,000¸¸ ´Þ·¯·Î ÃßÁ¤µÇ¸ç, 2031³â¿¡´Â 65¾ï 1,000¸¸ ´Þ·¯¿¡ ´ÞÇÒ °ÍÀ¸·Î ¿¹»óµÇ¸ç, 2024³âºÎÅÍ 2031³â±îÁö ¿¬Æò±Õ 17.5%ÀÇ CAGRÀ» ±â·ÏÇÒ °ÍÀ¸·Î Àü¸ÁµË´Ï´Ù.

±×¸² 1. ¿î¼Û ºÐ¾ß ÀΰøÁö´É ½ÃÀå Á¡À¯À²(%), Áö¿ªº°, 2024³â
Artificial Intelligence in Transportation Market-IMG1

ÀΰøÁö´É(AI)Àº º¹ÀâÇÑ ÀÛ¾÷À» È¿À²ÀûÀ¸·Î ¼öÇàÇϱâ À§ÇØ ´Ù¾çÇÑ »ê¾÷ ºÐ¾ß¿¡¼­ Á¡Á¡ ´õ ¸¹ÀÌ È°¿ëµÇ°í ÀÖÀ¸¸ç, ¹°·ù ¹× °ø±Þ¸Á °ü¸®¿¡¼­ ÀÚÀ²ÁÖÇà Â÷·®¿¡ À̸£±â±îÁö ¿î¼Û ºÐ¾ß¿¡¼­ AI´Â ¹°·ù ±â¾÷ÀÇ ¶ó¿ìÆà ¹× Â÷·® °ü¸®¸¦ ÃÖÀûÈ­ÇÏ´Â µ¥ µµ¿òÀÌ µÇ°í ÀÖ½À´Ï´Ù. ÄÄÇ»ÅÍ ºñÀü ¹× ±âŸ AI ±â¼úÀ» È°¿ëÇÑ ÀÚÀ²ÁÖÇàÂ÷´Â ¿î¼Û¿¡ Çõ¸íÀ» °¡Á®¿Ã ¼ö ÀÖ½À´Ï´Ù. Â÷·® ¹× ÀÎÇÁ¶ó µ¥ÀÌÅ͸¦ ÅëÇØ AI ¸ðµ¨Àº Â÷·® ¹× ÀÎÇÁ¶óÀÇ ¿¹Ãø À¯Áöº¸¼ö¿¡ È°¿ëµÇ°í ÀÖ½À´Ï´Ù.

½ÃÀå ¿ªÇÐ:

¼¼°è ¿î¼Û ºÐ¾ß ÀΰøÁö´É ½ÃÀå ¼ºÀåÀº ¹°·ù ¹× °ø±Þ¸Á ¿î¿µ ÃÖÀûÈ­¿¡ ´ëÇÑ ¼ö¿ä Áõ°¡·Î ÀÎÇØ AI ±â¹Ý Â÷·® °ü¸® ¹× ¿¹Ãø ºÐ¼®Àº ±â¾÷ÀÇ ºñ¿ë Àý°¨°ú È¿À²¼º Çâ»ó¿¡ µµ¿òÀÌ µÇ°í ÀÖ½À´Ï´Ù. ¶ÇÇÑ, µö·¯´×°ú °°Àº AI ±â¼úÀÇ ½ÃÀå °³Ã´°ú ÀÚÀ²ÁÖÇà Â÷·®ÀÇ ÄÄÇ»ÅÍ ºñÀü Àû¿ëÀº ½ÃÀå ¼ºÀåÀÇ ±âȸ¸¦ Á¦°øÇÒ ¼ö ÀÖ½À´Ï´Ù. ±×·¯³ª ¾ÈÀü°ú µ¥ÀÌÅÍ ÇÁ¶óÀ̹ö½Ã ¹®Á¦, ÀÚÀ²ÁÖÇàÂ÷ °ü·Ã ±ÔÁ¦ ºÎÁ·Àº ÀÚÀ²ÁÖÇàÂ÷ º¸±ÞÀ» °¡·Î¸·´Â ¿äÀÎÀ¸·Î ÀÛ¿ëÇÒ ¼ö ÀÖ½À´Ï´Ù. ¶ÇÇÑ ¸¹Àº ±¹°¡¿¡¼­ ÀÚÀ²ÁÖÇà ±â¼úÀ» Áö¿øÇÏ´Â ÀÎÇÁ¶ó°¡ ºÎÁ·ÇÏ´Ù´Â Á¡µµ ½ÃÀå ¼ºÀå¿¡ °É¸²µ¹ÀÌ µÉ ¼ö ÀÖ½À´Ï´Ù. ¿î¼Û ÀÚ»êÀ» Àý¾àÇϱâ À§ÇØ ¿¹Ãø À¯Áöº¸¼ö¿¡ AI ±â´ÉÀ» È°¿ëÇÏ´Â Ãß¼¼°¡ Áõ°¡ÇÔ¿¡ µû¶ó ½ÃÀå ¼ºÀå ±âȸ¸¦ Á¦°øÇÒ ¼ö ÀÖ½À´Ï´Ù.

º» Á¶»çÀÇ ÁÖ¿ä Ư¡

  • ÀÌ º¸°í¼­´Â 2023³âÀ» ±âÁØ ¿¬µµ·Î ÇÏ¿© ¿¹Ãø ±â°£(2024-2031³â)ÀÇ ½ÃÀå ±Ô¸ð¿Í ¿¬Æò±Õ ¼ºÀå·ü(CAGR)À» ÅëÇØ ¼¼°è ¿î¼Û ºÐ¾ß ÀΰøÁö´É ½ÃÀåÀ» »ó¼¼È÷ ºÐ¼®Çß½À´Ï´Ù.
  • ¶ÇÇÑ ´Ù¾çÇÑ ºÎ¹®¿¡ °ÉÄ£ ÀáÀçÀû ¼öÀÍ ±âȸ¸¦ ÆľÇÇÏ°í ÀÌ ½ÃÀåÀÇ ¸Å·ÂÀûÀÎ ÅõÀÚ Á¦¾È ¸ÅÆ®¸¯½º¸¦ ¼³¸íÇÕ´Ï´Ù.
  • ¶ÇÇÑ ½ÃÀå ÃËÁø¿äÀÎ, ¾ïÁ¦¿äÀÎ, ±âȸ, ½ÅÁ¦Ç° Ãâ½Ã ¹× ½ÂÀÎ, ½ÃÀå µ¿Çâ, Áö¿ªº° Àü¸Á, ÁÖ¿ä ±â¾÷ÀÇ °æÀï Àü·« µî¿¡ ´ëÇÑ ÁÖ¿ä ÀλçÀÌÆ®µµ Á¦°øÇÕ´Ï´Ù.
  • ±â¾÷ ÇÏÀ̶óÀÌÆ®, Á¦Ç° Æ÷Æ®Æú¸®¿À, ÁÖ¿ä ÇÏÀ̶óÀÌÆ®, À繫 ¼º°ú ¹× Àü·«°ú °°Àº ¸Å°³ º¯¼ö¸¦ ±â¹ÝÀ¸·Î ¼¼°è ¿î¼Û ºÐ¾ß ÀΰøÁö´É ½ÃÀåÀÇ ÁÖ¿ä ±â¾÷À» ÇÁ·ÎÆÄÀϸµÇÕ´Ï´Ù.
  • ÀÌ º¸°í¼­ÀÇ ÀλçÀÌÆ®¸¦ ÅëÇØ ¸¶ÄÉÆà ´ã´çÀÚ¿Í ±â¾÷ °æ¿µÁøÀº ÇâÈÄ Á¦Ç° Ãâ½Ã, À¯ÇüÈ­, ½ÃÀå È®´ë ¹× ¸¶ÄÉÆà Àü¼ú¿¡ ´ëÇÑ Á¤º¸¿¡ ÀÔ°¢ÇÑ ÀÇ»ç°áÁ¤À» ³»¸± ¼ö ÀÖ½À´Ï´Ù.
  • ÀÌ ¼¼°è ½ÃÀå º¸°í¼­´Â ÅõÀÚÀÚ, °ø±Þ¾÷ü, Á¦Ç° Á¦Á¶¾÷ü, À¯Åë¾÷ü, ½Å±Ô ÁøÀÔÀÚ, À繫 ºÐ¼®°¡ µî ¾÷°èÀÇ ´Ù¾çÇÑ ÀÌÇØ°ü°èÀÚ¸¦ ´ë»óÀ¸·Î ÇÕ´Ï´Ù.
  • ÀÌÇØ°ü°èÀÚµéÀº ¼¼°è ¿î¼Û ºÐ¾ß ÀΰøÁö´É ½ÃÀå ºÐ¼®¿¡ »ç¿ëµÇ´Â ´Ù¾çÇÑ Àü·« ¸ÅÆ®¸¯½º¸¦ ÅëÇØ ÀÇ»ç°áÁ¤À» ½±°Ô ³»¸± ¼ö ÀÖ½À´Ï´Ù.

¸ñÂ÷

Á¦1Àå Á¶»ç ¸ñÀû°ú °¡Á¤

  • Á¶»ç ¸ñÀû
  • °¡Á¤
  • ¾à¾î

Á¦2Àå ½ÃÀå Àü¸Á

  • º¸°í¼­ ¼³¸í
    • ½ÃÀå Á¤ÀÇ¿Í ¹üÀ§
  • ÁÖ¿ä ¿ä¾à
  • Coherent Opportunity Map(COM)

Á¦3Àå ½ÃÀå ¿ªÇÐ, ±ÔÁ¦, µ¿Ç⠺м®

  • ½ÃÀå ¿ªÇÐ
    • ¼ºÀå ÃËÁø¿äÀÎ
    • ¼ºÀå ¾ïÁ¦¿äÀÎ
    • ½ÃÀå ±âȸ
  • ±ÔÁ¦ ½Ã³ª¸®¿À
  • ¾÷°è µ¿Çâ
  • ÀμöÇÕº´
  • ½Å½Ã½ºÅÛ Ãâ½Ã/½ÂÀÎ
  • COVID-19 ÆÒµ¥¹ÍÀÇ ¿µÇâ

Á¦4Àå ¿î¼Û ºÐ¾ß ÀΰøÁö´É ¼¼°è ½ÃÀå : Á¦°ø ¼­ºñ½ºº°, 2019-2031³â

  • Çϵå¿þ¾î
  • ¼ÒÇÁÆ®¿þ¾î

Á¦5Àå ¿î¼Û ºÐ¾ß ÀΰøÁö´É ¼¼°è ½ÃÀå : ¸Ó½Å·¯´× ±â¼úº°, 2019-2031³â

  • µö·¯´×
  • ÄÄÇ»ÅÍ ºñÀü
  • »óȲ ÀνÄ
  • ÀÚ¿¬¾î ó¸®(NLP)

Á¦6Àå ¿î¼Û ºÐ¾ß ÀΰøÁö´É ¼¼°è ½ÃÀå : ¿ëµµº°, 2019-2031³â

  • ÀÚÀ²ÁÖÇà Æ®·°
  • Æ®·° HMI
  • ¹ÝÀÚÀ²ÁÖÇà Æ®·°

Á¦7Àå ¿î¼Û ºÐ¾ß ÀΰøÁö´É ¼¼°è ½ÃÀå : Áö¿ªº°, 2019-2031³â

  • ºÏ¹Ì
  • À¯·´
  • ¾Æ½Ã¾ÆÅÂÆò¾ç
  • ¶óƾ¾Æ¸Þ¸®Ä«
  • Áßµ¿ ¹× ¾ÆÇÁ¸®Ä«

Á¦8Àå °æÀï »óȲ

  • ±â¾÷ °³¿ä
    • Peloton
    • Paccar
    • Scania
    • Valeo
    • Xevo
    • ZF
    • Zonar
    • Nvidia Corporation
    • Siemens Mobility
    • NEC Corporation
    • Microsoft Corporation
    • IBM Corporation
    • Robert Bosch GmbH
    • Continental AG
    • Volvo Group

Á¦9Àå ¾Ö³Î¸®½ºÆ®ÀÇ Ãßõ»çÇ×

  • Wheel of Fortune
  • ¾Ö³Î¸®½ºÆ®ÀÇ °ßÇØ
  • Coherent Opportunity Map(COM)

Á¦10Àå Âü°í¹®Çå°ú Á¶»ç ¹æ¹ý

  • Âü°í¹®Çå
  • Á¶»ç ¹æ¹ý
ksm 24.07.12

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
  • About us and Sales Contact
ºñ±³¸®½ºÆ®
0 °ÇÀÇ »óÇ°À» ¼±Åà Áß
»óÇ° ºñ±³Çϱâ
Àüü»èÁ¦