세계의 운송 분야 AI 시장 보고서(2025년)
Artificial Intelligence in Transportation Global Market Report 2025
상품코드 : 1784184
리서치사 : The Business Research Company
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한글목차

운송 분야 AI 시장 규모는 향후 수년간 비약적인 성장이 예상됩니다. 2029년에는 CAGR 20.6%를 나타내 90억 2,000만 달러로 성장할 전망입니다. 예측기간 성장은 효율적인 운용을 위한 공급망과 물류에서의 AI 용도 확대, 자율주행차 개발을 위한 AI 채용의 급증, 복수의 교통기관의 계획과 조정에 있어서의 AI 통합, 실시간 루트 최적화와 교통 예측을 위한 AI 사용 증가, 대중교통 시스템에서 AI 구동 솔루션 수요 증가에 기인하고 있습니다. 예측기간의 주요 동향으로는 ai를 활용한 모빌리티 아즈아 서비스(maas) 플랫폼 개발, 의사결정 프로세스 투명성을 높이기 위한 설명 가능한 ai의 중시, 개인화된 적응적인 차내 체험을 위한 ai 활용, 특정 교통 모드와 산업용 ai 솔루션의 커스터마이징, ai 개발 등이 있습니다.

향후 5년간의 성장률 20.6%라고 하는 예측은 이 시장의 전회 예측으로부터 0.3%의 소폭의 감소를 반영하고 있습니다. 이 감소는 주로 미국과 다른 국가 간의 관세의 영향 때문입니다. 센서 및 LiDAR 기술의 관세 관련 비용 상승은 교통 시스템 전체의 AI 통합을 방해하고 자율 주행 차량의 배치와 지능형 교통 시스템을 지연시킬 수 있습니다. 또한 상호 관세와 무역 긴장 증가와 제한으로 인한 세계 경제와 무역에 대한 악영향으로 인해 그 영향이 더 광범위하게 늘어날 것으로 보입니다.

자율주행차에 대한 수요 증가는 운송시장에서 인공지능의 성장을 앞으로도 촉진할 것으로 예측됩니다. 자율주행차는 어댑티브 크루즈 컨트롤, 액티브 스티어링, 안티록 브레이크 시스템, GPS 네비게이션, 레이저, 레이더 등 다양한 차재 기술과 센서를 활용하여 한 장소에서 다른 장소로 '자동 조종' 모드로 이동할 수 있는 운송 시스템입니다. 이러한 자동차는 안전 운전과 잠재적인 사고와 장애물의 감지를 인공지능에 의존하고 있습니다. 예를 들어, 2023년 12월 캐나다에 본사를 둔 연구기관인 빅토리아 교통정책연구소의 보고서는 2045년까지 신차의 절반이 자율주행차가 되고, 2060년까지 차량 전체의 절반이 자율주행차가 될 것으로 예측했습니다. 이와 같이 자율주행차에 대한 수요 증가는 운송 분야에서 인공지능의 확대를 촉진하는 것으로 보입니다.

목차

제1장 주요 요약

제2장 시장 특징

제3장 시장 동향과 전략

제4장 시장 : 금리, 인플레이션, 지정학, 무역전쟁과 관세, 그리고 코로나 및 회복이 시장에 미치는 영향을 포함한 거시경제 시나리오

제5장 세계의 성장 분석과 전략 분석 프레임워크

제6장 시장 세분화

제7장 지역별/국가별 분석

제8장 아시아태평양 시장

제9장 중국 시장

제10장 인도 시장

제11장 일본 시장

제12장 호주 시장

제13장 인도네시아 시장

제14장 한국 시장

제15장 서유럽 시장

제16장 영국 시장

제17장 독일 시장

제18장 프랑스 시장

제19장 이탈리아 시장

제20장 스페인 시장

제21장 동유럽 시장

제22장 러시아 시장

제23장 북미 시장

제24장 미국 시장

제25장 캐나다 시장

제26장 남미 시장

제27장 브라질 시장

제28장 중동 시장

제29장 아프리카 시장

제30장 경쟁 구도와 기업 프로파일

제31장 기타 주요 기업 및 혁신 기업

제32장 세계 시장 경쟁 벤치마킹과 대시보드

제33장 주요 인수합병(M&A)

제34장 최근 시장 동향

제35장 시장의 잠재력이 높은 국가, 부문, 전략

제36장 부록

KTH
영문 목차

영문목차

Artificial intelligence in transportation involves the application of AI to process and predict data for travel and transportation operations, with the aim of improving efficiency. This includes the collection of traffic patterns, the minimization of road congestion, and the enhancement of public transportation schedules. Through these processes, AI contributes to optimizing logistics and reducing turnaround time.

The primary offerings in artificial intelligence in transportation are categorized into hardware and software. Hardware constitutes the physical components of a computer or its delivery mechanisms for executing software instructions. In the realm of transportation AI, hardware includes neuromorphic and von Neumann hardware. Various technologies, such as deep learning, computer vision, context awareness, and natural language processing, play a role in processes like signal recognition, object recognition, and data mining. These technologies find applications in semi-autonomous trucks, truck platooning, predictive maintenance, precision mapping, autonomous trucks, and other related areas.

Note that the outlook for this market is being affected by rapid changes in trade relations and tariffs globally. The report will be updated prior to delivery to reflect the latest status, including revised forecasts and quantified impact analysis. The report's Recommendations and Conclusions sections will be updated to give strategies for entities dealing with the fast-moving international environment.

The sharp rise in U.S. tariffs and the resulting trade tensions in spring 2025 are having a considerable impact on the transport services sector by increasing the costs of vehicles, spare parts, and fuel-critical inputs frequently imported from tariff-affected regions. Freight operators, logistics companies, and public transportation providers are experiencing margin pressures as elevated equipment and maintenance expenses coincide with limited flexibility to pass these costs on to customers due to intense market competition. This climate of uncertainty has also led to delays in fleet upgrades and the adoption of greener, more energy-efficient vehicles, hindering progress toward sustainability objectives. In response, transport firms are enhancing route optimization, investing in fuel-efficient technologies, renegotiating supplier agreements, and adopting collaborative logistics strategies to share resources and cushion the financial impact of rising tariffs.

The artificial intelligence in transportation market research report is one of a series of new reports from The Business Research Company that provides artificial intelligence in transportation market statistics, including artificial intelligence in transportation industry global market size, regional shares, competitors with a artificial intelligence in transportation market share, detailed artificial intelligence in transportation market segments, market trends and opportunities, and any further data you may need to thrive in the artificial intelligence in transportation industry. This artificial intelligence in transportation market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

The artificial intelligence in transportation market size has grown rapidly in recent years. It will grow from $3.63 billion in 2024 to $4.27 billion in 2025 at a compound annual growth rate (CAGR) of 17.6%. The growth in the historic period can be attributed to use of cameras and sensors for collision avoidance, use of ai to analyze information in real time, use of high-performance computing and deep learning systems, growth inThe availability of big data for training ai models, increasing emphasis on automation for improved safety and efficiency.

The artificial intelligence in transportation market size is expected to see exponential growth in the next few years. It will grow to $9.02 billion in 2029 at a compound annual growth rate (CAGR) of 20.6%. The growth in the forecast period can be attributed to expansion of ai applications in supply chain and logistics for efficient operations, surge in adoption of ai for autonomous vehicle development, integration of ai in multimodal transportation planning and coordination, growth in the use of ai for real-time route optimization and traffic prediction, increasing demand for ai-driven solutions in public transportation systems. Major trends in the forecast period include development of ai-powered mobility-as-a-service (maas) platforms, emphasis on explainable ai for transparency in decision-making processes, use of ai for personalized and adaptive in-vehicle experiences, customization of ai solutions for specific transportation modes and industries, collaboration between ai developers and transportation stakeholders.

The forecast of 20.6% growth over the next five years reflects a modest reduction of 0.3% from the previous estimate for this market. This reduction is primarily due to the impact of tariffs between the US and other countries. Tariff-related cost surges for sensor and LiDAR technology could obstruct AI integration across transit systems, delaying autonomous vehicle deployment and intelligent traffic systems. The effect will also be felt more widely due to reciprocal tariffs and the negative effect on the global economy and trade due to increased trade tensions and restrictions.

The rising demand for autonomous vehicles is expected to drive the growth of artificial intelligence in the transportation market moving forward. Autonomous vehicles are transport systems capable of navigating from one location to another in 'autopilot' mode, utilizing various in-vehicle technologies and sensors such as adaptive cruise control, active steering, anti-lock braking systems, GPS navigation, lasers, and radar. These vehicles rely on artificial intelligence to operate safely and detect potential accidents or obstacles. For instance, in December 2023, a report by the Victoria Transport Policy Institute, a Canada-based research organization, projected that half of new vehicles could be autonomous by 2045, with half of the overall vehicle fleet becoming autonomous by 2060. Thus, the growing demand for autonomous vehicles will fuel the expansion of artificial intelligence in the transportation sector.

Increasing urbanization is anticipated to drive the growth of artificial intelligence in the transportation market. Urbanization refers to the transition of rural areas into urban settings due to economic growth and industrialization. Artificial intelligence plays a crucial role in optimizing transportation in urban landscapes, enabling smarter traffic management, predictive maintenance, and the use of autonomous vehicles, thereby enhancing efficiency and reducing traffic congestion. As per the World Bank Group's report in April 2023, over half of the world's population currently resides in urban areas, and by 2045, this urban population is predicted to reach 6 billion, marking a 1. 5 times increase. Consequently, the rise in urbanization acts as a catalyst for artificial intelligence adoption in transportation.

Technological advancements stand out as a prominent trend fueling the artificial intelligence in the transportation market. Key market players are concentrating on innovating new products to fortify their market positions. For instance, in January 2022, Qualcomm, a US-based semiconductor manufacturer, introduced Snapdragon Ride. This technology aims to simplify autonomous driving and Advanced Driver Assistance Systems (ADAS) by integrating high-performance, energy-efficient hardware, artificial intelligence (AI) technologies, and an autonomous driving stack. Snapdragon Ride offers comprehensive tools for building deep neural networks (deep learning), resulting in a cost-effective, high-performance system.

Major players in the artificial intelligence in transportation sector are rolling out AI tools like the Dynamic Pricing Engine to tackle logistics industry challenges. This tool utilizes multiple variables like transportation modes, equipment, demand, and market competition to generate price ranges for logistics services. For instance, Imaginnovate, a US-based software firm, introduced the Dynamic Pricing Engine in September 2023. This AI tool automates pricing strategies in transportation and logistics, enabling companies to set competitive yet profitable prices. It considers factors such as transportation types, equipment, demand, and competition to optimize revenue while ensuring customer satisfaction.

In March 2024, Hayden AI, a US-based vision AI and spatial analytics company, announced a partnership with Snapper Services, the developers of the Mosaiq Transit Intelligence Suite, to enhance data analysis capabilities for public transportation providers. This collaboration combines Hayden AI's mobile perception platform, which is used on buses for transit zone enforcement, with Snapper's advanced analytics platform, Mosaiq Insights. The aim is to provide transit agencies with valuable insights by leveraging both new and existing data sources. Snapper Services, based in New Zealand, specializes in developing intelligent transportation solutions.

Major companies operating in the artificial intelligence in transportation market include The Volvo Group, Mercedes-Benz Group AG, Scania AB, Peloton Interactive Inc., Valeo SA, Xevo Inc., Nvidia Corporation, Intel Corporation, Robert Bosch GmbH, Continental AG, Microsoft Corporation, International Business Machines Corp, Magna International Inc., ZF Friedrichshafen AG, Alphabet Inc., Daimler AG, General Motors Company, Aptiv plc, Denso Corporation, Xilinx Inc., TomTom NV, Harman International Industries Inc., Nauto Inc., FiveAI Inc., Waymo LLC, Uber Technologies Inc., Tesla Inc., Mobileye NV, Baidu Inc., AutoX Inc., Ponyai Inc., TuSimple Inc., Aurora Innovation Inc., Embark Trucks Inc., Plusai Inc.

North America was the largest region in the artificial intelligence in transportation market in 2024. Asia-Pacific is expected to be the fastest growing region in the forecast period. The regions covered in the artificial intelligence in transportation market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa

The countries covered in the artificial intelligence in transportation market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Italy, Canada, Spain.

Artificial Intelligence in transportation market includes revenues earned by entities by road traffic management systems, unmanned aircraft systems, automation of train operation (ATO), automatic identification systems (AIS) for shipping and autonomous navigation. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

Artificial Intelligence in Transportation Global Market Report 2025 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses on artificial intelligence in transportation market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

Reasons to Purchase

Where is the largest and fastest growing market for artificial intelligence in transportation ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The artificial intelligence in transportation market global report from the Business Research Company answers all these questions and many more.

The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.

The forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.

Scope

Table of Contents

1. Executive Summary

2. Artificial Intelligence in Transportation Market Characteristics

3. Artificial Intelligence in Transportation Market Trends And Strategies

4. Artificial Intelligence in Transportation Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Trade Wars and Tariffs, And Covid And Recovery On The Market

5. Global Artificial Intelligence in Transportation Growth Analysis And Strategic Analysis Framework

6. Artificial Intelligence in Transportation Market Segmentation

7. Artificial Intelligence in Transportation Market Regional And Country Analysis

8. Asia-Pacific Artificial Intelligence in Transportation Market

9. China Artificial Intelligence in Transportation Market

10. India Artificial Intelligence in Transportation Market

11. Japan Artificial Intelligence in Transportation Market

12. Australia Artificial Intelligence in Transportation Market

13. Indonesia Artificial Intelligence in Transportation Market

14. South Korea Artificial Intelligence in Transportation Market

15. Western Europe Artificial Intelligence in Transportation Market

16. UK Artificial Intelligence in Transportation Market

17. Germany Artificial Intelligence in Transportation Market

18. France Artificial Intelligence in Transportation Market

19. Italy Artificial Intelligence in Transportation Market

20. Spain Artificial Intelligence in Transportation Market

21. Eastern Europe Artificial Intelligence in Transportation Market

22. Russia Artificial Intelligence in Transportation Market

23. North America Artificial Intelligence in Transportation Market

24. USA Artificial Intelligence in Transportation Market

25. Canada Artificial Intelligence in Transportation Market

26. South America Artificial Intelligence in Transportation Market

27. Brazil Artificial Intelligence in Transportation Market

28. Middle East Artificial Intelligence in Transportation Market

29. Africa Artificial Intelligence in Transportation Market

30. Artificial Intelligence in Transportation Market Competitive Landscape And Company Profiles

31. Artificial Intelligence in Transportation Market Other Major And Innovative Companies

32. Global Artificial Intelligence in Transportation Market Competitive Benchmarking And Dashboard

33. Key Mergers And Acquisitions In The Artificial Intelligence in Transportation Market

34. Recent Developments In The Artificial Intelligence in Transportation Market

35. Artificial Intelligence in Transportation Market High Potential Countries, Segments and Strategies

36. Appendix

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