시장보고서
상품코드
2030961

교통 분야 AI 시장(2026-2030년)

Global AI In Transportation Market 2026-2030

발행일: | 리서치사: 구분자 TechNavio | 페이지 정보: 영문 316 Pages | 배송안내 : 즉시배송

    
    
    




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※ 본 상품은 영문 자료로 한글과 영문 목차에 불일치하는 내용이 있을 경우 영문을 우선합니다. 정확한 검토를 위해 영문 목차를 참고해주시기 바랍니다.

세계의 교통 분야 AI 시장은 2025년부터 2030년까지 66억 8,140만 달러 증가하고, 예측 기간 동안 CAGR은 19.9%에 달할 것으로 예측됩니다.

세계의 교통 분야 인공지능(AI) 시장에 대해 조사 분석했으며, 시장 규모와 예측, 동향, 성장요인, 과제, 25개 벤더 분석 등의 정보를 전해드립니다.

이 보고서는 현재 시장 상황, 최신 동향 및 촉진요인, 그리고 전체 시장 환경에 대한 최신 분석을 제공합니다. 이 시장은 도시 교통 혼잡의 심화와 교통 흐름의 효율화에 대한 요구, 도로 안전성 향상과 인적 오류 감소에 대한 전 세계적인 요구, E-Commerce의 확산, 최적화된 물류 이행에 대한 수요에 의해 주도되고 있습니다.

이번 조사는 업계 주요 관계자들의 의견을 포함한 1차 정보와 2차 정보를 객관적으로 조합하여 실시되었습니다. 이 보고서에는 주요 기업 분석과 함께 종합적인 시장 규모 데이터, 지역별 분석과 함께 부문 및 공급업체 현황이 포함되어 있습니다. 보고서에는 과거 데이터와 예측 데이터가 수록되어 있습니다.

시장 범위
기준 연도 2025년
종료 연도 2030년
조사 기간 2026-2030년
성장 모멘텀 가속
2026년 전년 대비 18.7%
CAGR 19.9%
증가액 66억 8,140만 달러

이 보고서는 자율주행 시스템과 ADAS(첨단 운전자 보조 시스템)의 통합이 향후 몇 년 동안 세계 교통 분야 AI 시장 성장을 주도할 주요 요인 중 하나로 꼽았습니다. 또한, 예지보전과 자산 수명주기 최적화, 실시간 지능형 교통 관리와 엣지 컴퓨팅의 융합은 시장에서 상당한 수요를 창출할 것으로 예상됩니다.

목차

제1장 주요 요약

제2장 Technavio 분석

제3장 시장 구도

제4장 시장 규모

제5장 시장 규모 실적

제6장 정성 분석

제7장 Five Forces 분석

제8장 시장 세분화 : 구성요소별

제9장 시장 세분화 : 용도별

제10장 시장 세분화 : 기술별

제11장 고객 상황

제12장 지역별 상황

제13장 촉진요인, 과제, 기회

제14장 경쟁 구도

제15장 경쟁 분석

제16장 부록

KSM 26.05.26

The global ai in transportation market is forecasted to grow by USD 6681.4 mn during 2025-2030, accelerating at a CAGR of 19.9% during the forecast period. The report on the global ai in transportation market provides a holistic analysis, market size and forecast, trends, growth drivers, and challenges, as well as vendor analysis covering around 25 vendors.

The report offers an up-to-date analysis regarding the current market scenario, the latest trends and drivers, and the overall market environment. The market is driven by escalating urban congestion and mandate for enhanced traffic flow efficiency, global imperatives for road safety and reduction of human error, proliferation of e-commerce and demand for optimized logistics fulfillment.

The study was conducted using an objective combination of primary and secondary information including inputs from key participants in the industry. The report contains a comprehensive market size data, segment with regional analysis and vendor landscape in addition to an analysis of the key companies. Reports have historic and forecast data.

Market Scope
Base Year2025
End Year2030
Series Year2026-2030
Growth MomentumAccelerate
YOY 202618.7%
CAGR19.9%
Incremental Value$6681.4 mn

Technavio's global ai in transportation market is segmented as below:

By Component

  • Hardware
  • Software
  • Services

By Application

  • Autonomous vehicles
  • Traffic management
  • Freight management
  • Predictive maintenance
  • Others

By Technology

  • Machine learning
  • Deep learning
  • Computer vision
  • Natural language processing
  • Context aware computing

Geography

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • France
    • Italy
    • Spain
    • The Netherlands
  • APAC
    • China
    • Japan
    • India
    • South Korea
    • Australia
    • Indonesia
  • Middle East and Africa
    • UAE
    • South Africa
    • Turkey
  • South America
    • Brazil
    • Argentina
    • Chile
  • Rest of World (ROW)

This study identifies the autonomous navigation systems and advanced driver assistance integration as one of the prime reasons driving the global ai in transportation market growth during the next few years. Also, predictive maintenance and asset lifecycle optimization and convergence of real-time intelligent traffic management and edge computing will lead to sizable demand in the market.

The report on the global ai in transportation market covers the following areas:

  • Global ai in transportation market sizing
  • Global ai in transportation market forecast
  • Global ai in transportation market industry analysis

The robust vendor analysis is designed to help clients improve their market position, and in line with this, this report provides a detailed analysis of several leading global ai in transportation market vendors that include Derq Inc., Descartes Systems Group Inc., Einride AB, Geotab Inc., Hayden AI Technologies Inc., Hitachi Ltd., Motive Technologies Inc., NetraDyne Inc., Nuro Inc., PlusAI Inc., PTV Planung Transport Verkehr, Samba Holdings Inc., Samsara Inc., Siemens AG, Tesla Inc., Transporeon GmbH, Via Transportation Inc., Waabi, Waymo LLC. Also, the global ai in transportation market analysis report includes information on upcoming trends and challenges that will influence market growth. This is to help companies strategize and leverage all forthcoming growth opportunities.

The publisher presents a detailed picture of the market by the way of study, synthesis, and summation of data from multiple sources by an analysis of key parameters such as profit, pricing, competition, and promotions. It presents various market facets by identifying the key industry influencers. The data presented is comprehensive, reliable, and a result of extensive primary and secondary research. The market research reports provide a complete competitive landscape and an in-depth vendor selection methodology and analysis using qualitative and quantitative research to forecast accurate market growth.

Table of Contents

1 Executive Summary

  • 1.1 Market overview
    • Executive Summary - Chart on Market Overview
    • Executive Summary - Data Table on Market Overview
    • Executive Summary - Chart on Global Market Characteristics
    • Executive Summary - Chart on Market by Geography
    • Executive Summary - Chart on Market Segmentation by Component
    • Executive Summary - Chart on Market Segmentation by Application
    • Executive Summary - Chart on Market Segmentation by Technology
    • Executive Summary - Chart on Incremental Growth
    • Executive Summary - Data Table on Incremental Growth
    • Executive Summary - Chart on Company Market Positioning

2 Technavio Analysis

  • 2.1 Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria
    • Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria
  • 2.2 Criticality of inputs and Factors of differentiation
  • 2.3 Factors of disruption
  • 2.4 Impact of drivers and challenges

3 Market Landscape

  • 3.1 Market ecosystem
  • 3.2 Market characteristics
  • 3.3 Value chain analysis

4 Market Sizing

  • 4.1 Market definition
  • 4.2 Market segment analysis
    • Market segments
  • 4.3 Market size 2025
  • 4.4 Market outlook: Forecast for 2025-2030

5 Historic Market Size

  • 5.1 Global AI In Transportation Market 2020 - 2024
    • Historic Market Size - Data Table on Global AI In Transportation Market 2020 - 2024 ($ million)
  • 5.2 Component segment analysis 2020 - 2024
    • Historic Market Size - Component Segment 2020 - 2024 ($ million)
  • 5.3 Application segment analysis 2020 - 2024
    • Historic Market Size - Application Segment 2020 - 2024 ($ million)
  • 5.4 Technology segment analysis 2020 - 2024
    • Historic Market Size - Technology Segment 2020 - 2024 ($ million)
  • 5.5 Geography segment analysis 2020 - 2024
    • Historic Market Size - Geography Segment 2020 - 2024 ($ million)
  • 5.6 Country segment analysis 2020 - 2024
    • Historic Market Size - Country Segment 2020 - 2024 ($ million)

6 Qualitative Analysis

  • 6.1 Impact of geopolitical conflicts on global AI in transportation market

7 Five Forces Analysis

  • 7.1 Five forces summary
    • Five forces analysis - Comparison between 2025 and 2030
  • 7.2 Bargaining power of buyers
    • Bargaining power of buyers - Impact of key factors 2025 and 2030
  • 7.3 Bargaining power of suppliers
    • Bargaining power of suppliers - Impact of key factors in 2025 and 2030
  • 7.4 Threat of new entrants
    • Threat of new entrants - Impact of key factors in 2025 and 2030
  • 7.5 Threat of substitutes
    • Threat of substitutes - Impact of key factors in 2025 and 2030
  • 7.6 Threat of rivalry
    • Threat of rivalry - Impact of key factors in 2025 and 2030
  • 7.7 Market condition

8 Market Segmentation by Component

  • 8.1 Market segments
  • 8.2 Comparison by Component
  • 8.3 Hardware - Market size and forecast 2025-2030
  • 8.4 Software - Market size and forecast 2025-2030
  • 8.5 Services - Market size and forecast 2025-2030
  • 8.6 Market opportunity by Component
    • Market opportunity by Component ($ million)

9 Market Segmentation by Application

  • 9.1 Market segments
  • 9.2 Comparison by Application
  • 9.3 Autonomous vehicles - Market size and forecast 2025-2030
  • 9.4 Traffic management - Market size and forecast 2025-2030
  • 9.5 Freight management - Market size and forecast 2025-2030
  • 9.6 Predictive maintenance - Market size and forecast 2025-2030
  • 9.7 Others - Market size and forecast 2025-2030
  • 9.8 Market opportunity by Application
    • Market opportunity by Application ($ million)

10 Market Segmentation by Technology

  • 10.1 Market segments
  • 10.2 Comparison by Technology
  • 10.3 Machine learning - Market size and forecast 2025-2030
  • 10.4 Deep learning - Market size and forecast 2025-2030
  • 10.5 Computer vision - Market size and forecast 2025-2030
  • 10.6 Natural language processing - Market size and forecast 2025-2030
  • 10.7 Context aware computing - Market size and forecast 2025-2030
  • 10.8 Market opportunity by Technology
    • Market opportunity by Technology ($ million)

11 Customer Landscape

  • 11.1 Customer landscape overview
    • Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria

12 Geographic Landscape

  • 12.1 Geographic segmentation
  • 12.2 Geographic comparison
  • 12.3 North America - Market size and forecast 2025-2030
    • 12.3.1 US - Market size and forecast 2025-2030
    • 12.3.2 Canada - Market size and forecast 2025-2030
    • 12.3.3 Mexico - Market size and forecast 2025-2030
  • 12.4 Europe - Market size and forecast 2025-2030
    • 12.4.1 Germany - Market size and forecast 2025-2030
    • 12.4.2 UK - Market size and forecast 2025-2030
    • 12.4.3 France - Market size and forecast 2025-2030
    • 12.4.4 Italy - Market size and forecast 2025-2030
    • 12.4.5 Spain - Market size and forecast 2025-2030
    • 12.4.6 The Netherlands - Market size and forecast 2025-2030
  • 12.5 APAC - Market size and forecast 2025-2030
    • 12.5.1 China - Market size and forecast 2025-2030
    • 12.5.2 Japan - Market size and forecast 2025-2030
    • 12.5.3 India - Market size and forecast 2025-2030
    • 12.5.4 South Korea - Market size and forecast 2025-2030
    • 12.5.5 Australia - Market size and forecast 2025-2030
    • 12.5.6 Indonesia - Market size and forecast 2025-2030
  • 12.6 Middle East and Africa - Market size and forecast 2025-2030
    • 12.6.1 Saudi Arabia - Market size and forecast 2025-2030
    • 12.6.2 UAE - Market size and forecast 2025-2030
    • 12.6.3 South Africa - Market size and forecast 2025-2030
    • 12.6.4 Israel - Market size and forecast 2025-2030
    • 12.6.5 Turkey - Market size and forecast 2025-2030
  • 12.7 South America - Market size and forecast 2025-2030
    • 12.7.1 Brazil - Market size and forecast 2025-2030
    • 12.7.2 Argentina - Market size and forecast 2025-2030
    • 12.7.3 Chile - Market size and forecast 2025-2030
  • 12.8 Market opportunity by geography
    • Market opportunity by geography ($ million)
    • Data Tables on Market opportunity by geography ($ million)

13 Drivers, Challenges, and Opportunity

  • 13.1 Market drivers
    • Escalating urban congestion and mandate for enhanced traffic flow efficiency
    • Global imperatives for road safety and reduction of human error
    • Proliferation of e-commerce and demand for optimized logistics fulfillment
  • 13.2 Market challenges
    • Data privacy concerns and complexity of regulatory compliance
    • High initial capital expenditure and infrastructure modernization requirements
    • Critical shortage of specialized technical talent and interdisciplinary expertise
  • 13.3 Impact of drivers and challenges
    • Impact of drivers and challenges in 2025 and 2030
  • 13.4 Market opportunities
    • Autonomous navigation systems and advanced driver assistance integration
    • Predictive maintenance and asset lifecycle optimization
    • Convergence of real-time intelligent traffic management and edge computing

14 Competitive Landscape

  • 14.1 Overview
  • 14.2 Competitive Landscape
    • Overview on criticality of inputs and factors of differentiation
  • 14.3 Landscape disruption
    • Overview on factors of disruption
  • 14.4 Industry risks
    • Impact of key risks on business

15 Competitive Analysis

  • 15.1 Companies profiled
    • Companies covered
  • 15.2 Company ranking index
    • Company ranking index
  • 15.3 Market positioning of companies
    • Matrix on companies position and classification
  • 15.4 Derq Inc.
    • Derq Inc. - Overview
    • Derq Inc. - Product / Service
    • Derq Inc. - Key offerings
    • SWOT
  • 15.5 Descartes Systems Group Inc.
    • Descartes Systems Group Inc. - Overview
    • Descartes Systems Group Inc. - Business segments
    • Descartes Systems Group Inc. - Key offerings
    • Descartes Systems Group Inc. - Segment focus
    • SWOT
  • 15.6 Geotab Inc.
    • Geotab Inc. - Overview
    • Geotab Inc. - Product / Service
    • Geotab Inc. - Key offerings
    • SWOT
  • 15.7 Hayden AI Technologies Inc.
    • Hayden AI Technologies Inc. - Overview
    • Hayden AI Technologies Inc. - Product / Service
    • Hayden AI Technologies Inc. - Key offerings
    • SWOT
  • 15.8 Hitachi Ltd.
    • Hitachi Ltd. - Overview
    • Hitachi Ltd. - Business segments
    • Hitachi Ltd. - Key offerings
    • Hitachi Ltd. - Segment focus
    • SWOT
  • 15.9 Motive Technologies Inc.
    • Motive Technologies Inc. - Overview
    • Motive Technologies Inc. - Product / Service
    • Motive Technologies Inc. - Key offerings
    • SWOT
  • 15.10 PlusAI Inc.
    • PlusAI Inc. - Overview
    • PlusAI Inc. - Product / Service
    • PlusAI Inc. - Key offerings
    • SWOT
  • 15.11 PTV Planung Transport Verkehr
    • PTV Planung Transport Verkehr - Overview
    • PTV Planung Transport Verkehr - Product / Service
    • PTV Planung Transport Verkehr - Key offerings
    • SWOT
  • 15.12 Samba Holdings Inc.
    • Samba Holdings Inc. - Overview
    • Samba Holdings Inc. - Product / Service
    • Samba Holdings Inc. - Key offerings
    • SWOT
  • 15.13 Samsara Inc.
    • Samsara Inc. - Overview
    • Samsara Inc. - Product / Service
    • Samsara Inc. - Key news
    • Samsara Inc. - Key offerings
    • SWOT
  • 15.14 Siemens AG
    • Siemens AG - Overview
    • Siemens AG - Business segments
    • Siemens AG - Key news
    • Siemens AG - Key offerings
    • Siemens AG - Segment focus
    • SWOT
  • 15.15 Tesla Inc.
    • Tesla Inc. - Overview
    • Tesla Inc. - Business segments
    • Tesla Inc. - Key news
    • Tesla Inc. - Key offerings
    • Tesla Inc. - Segment focus
    • SWOT
  • 15.16 Transporeon GmbH
    • Transporeon GmbH - Overview
    • Transporeon GmbH - Product / Service
    • Transporeon GmbH - Key offerings
    • SWOT
  • 15.17 Via Transportation Inc.
    • Via Transportation Inc. - Overview
    • Via Transportation Inc. - Product / Service
    • Via Transportation Inc. - Key offerings
    • SWOT
  • 15.18 Waymo LLC
    • Waymo LLC - Overview
    • Waymo LLC - Product / Service
    • Waymo LLC - Key offerings
    • SWOT

16 Appendix

  • 16.1 Scope of the report
    • Market definition
    • Objectives
    • Notes and caveats
  • 16.2 Inclusions and exclusions checklist
    • Inclusions checklist
    • Exclusions checklist
  • 16.3 Currency conversion rates for US$
    • Currency conversion rates for US$
  • 16.4 Research methodology
    • Research methodology
  • 16.5 Data procurement
    • Information sources
  • 16.6 Data validation
    • Data validation
  • 16.7 Validation techniques employed for market sizing
    • Validation techniques employed for market sizing
  • 16.8 Data synthesis
    • Data synthesis
  • 16.9 360 degree market analysis
    • 360 degree market analysis
  • 16.10 List of abbreviations
    • List of abbreviations
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