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세계의 교통 분야 생성형 AI 시장 보고서(2025년)
Generative Artificial Intelligence (AI) In Transportation Global Market Report 2025
상품코드 : 1717017
리서치사 : The Business Research Company
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페이지 정보 : 영문 175 Pages
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한글목차

교통 분야 생성형 AI 시장 규모는 향후 몇 년 동안 빠르게 성장하여 2029년에는 19.5%의 연평균 복합 성장률(CAGR)로 24억 6,000만 달러에 달할 것으로 예측됩니다. 예측 기간 동안의 성장은 사이버 보안에 대한 관심 증가, 공급망 관리 증가, 스마트 시티의 부상, 서비스형 모빌리티(MaaS)의 성장, 자율 주행 자동차의 확대, 데이터 가용성 증가 등에 기인하는 것으로 보입니다. 예측 기간의 주요 동향으로는 AI 알고리즘의 지속적인 개선, 스마트 솔루션의 채택, 5G 기술의 발전, AI와 사물인터넷(IoT)의 융합, 클라우드 기반 통신 기술의 발전 등을 꼽을 수 있습니다.

자율주행차에 대한 수요 증가는 운송 시장에서 생성형 AI의 확장을 촉진할 것으로 예측됩니다. 자율주행차(AV)는 센서, 카메라, 레이더, AI, 머신러닝 알고리즘을 결합하여 사람이 직접 제어하지 않고도 자율주행차가 운행되는 차량으로, 안전에 대한 우려, 정부 정책 및 인센티브, 소비자 선호도, 교통 체증 등의 요인으로 인해 AV에 대한 수요가 증가하고 있습니다. 등의 요인으로 인해 수요가 증가하고 있습니다. 생성형 AI는 다양한 운전 시나리오와 시뮬레이션을 생성하여 자율주행차량의 학습을 강화하고, 시스템의 견고성과 안전성을 향상시킵니다. 또한, 사용자의 취향에 따라 개인화된 사용자 인터페이스를 개발하여 상호작용을 강화할 수 있습니다. 예를 들어, 미국 도로교통안전국은 2022년 12월 미국 도로를 달리는 자율주행차가 2025년까지 350만 대, 2030년까지 450만 대에 달할 것이라고 보고했습니다. 결과적으로 자율주행차에 대한 수요 증가는 운송 시장에서 생성형 AI의 성장을 가속하고 있습니다.

교통 분야 생성형 AI 시장의 주요 기업들은 개인화된 사용자 경험을 강화하기 위해 생성형 AI(GenAI) 챗봇과 같은 첨단 기술 개발에 주력하고 있습니다. 이러한 챗봇은 고급 머신러닝 모델을 사용하여 자연어 대화를 촉진합니다. 예를 들어, 2024년 8월 이스라엘의 사물인터넷 기술 전문 기업 Wiliot은 모든 주변 IoT 연결 제품과의 자연어 대화를 위해 설계된 생성형 AI(GenAI) 챗봇인 WiliBot을 발표했습니다. 물리적 제품을 디지털 인텔리전스와 연결하여 기업과 소비자가 제품 세부 정보 및 공급망에 대해 의미 있게 소통할 수 있도록 합니다. WiliBot은 대규모 언어 모델(LLM)을 Wiliot의 주변 IoT 기술과 통합하여 사용자가 유통기한, 운송 이력, 지속가능성 지표와 같은 제품 정보를 조회할 수 있도록 합니다. 위치, 온도, 습도 등의 요소를 모니터링하는 Wiliot의 자가발전 IoT 픽셀의 실시간 데이터를 사용합니다. 이 데이터는 블루투스를 통해 Wiliot의 클라우드로 전송되어 분석되며, WiliBot의 AI 알고리즘은 온도 편차와 같은 공급망 문제를 감지하고 업무 효율성을 개선하기 위한 경고 및 권장 사항을 생성할 수 있습니다.

목차

제1장 주요 요약

제2장 시장 특징

제3장 시장 동향과 전략

제4장 시장 - 거시경제 시나리오 금리, 인플레이션, 지정학, 신형 코로나바이러스 영향과 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 개요

제31장 기타 주요 기업 및 혁신 기업

제32장 세계 시장 경쟁 벤치마킹과 대시보드

제33장 주요 인수합병(M&A)

제34장 최근 시장 동향

제35장 시장 잠재력이 높은 국가, 부문, 전략

제36장 부록

LSH
영문 목차

영문목차

Generative artificial intelligence (AI) in transportation involves the use of AI models to create new data that improves various aspects of transportation systems. Its main objectives are to enhance efficiency, safety, and innovation by developing better system designs, predicting and mitigating traffic issues, optimizing logistics and fleet management, and advancing vehicle technologies.

Generative AI in transportation primarily includes services and solutions. Services encompass consulting, integration, and support to assist businesses in implementing and optimizing AI technologies for greater efficiency and innovation. These services are applied in areas such as route optimization, customer support, safety assessment, and predictive maintenance. They are utilized by a range of end-users, including automotive manufacturers and transportation agencies.

The generative artificial intelligence (AI) in transportation market research report is one of a series of new reports from The Business Research Company that provides generative artificial intelligence (AI) in transportation market statistics, including generative artificial intelligence (AI) in transportation industry global market size, regional shares, competitors with a generative artificial intelligence (AI) in transportation market share, detailed generative artificial intelligence (AI) in transportation market segments, market trends, and opportunities, and any further data you may need to thrive in the generative artificial intelligence (AI) in transportation industry. This generative artificial intelligence (AI) 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 generative artificial intelligence (AI) in transportation market size has grown rapidly in recent years. It will grow from $1.01 billion in 2024 to $1.21 billion in 2025 at a compound annual growth rate (CAGR) of 19.6%. The growth in the historic period can be attributed to the increasing volume of data generated in transportation systems fuels, the demand for autonomous vehicles, rising consumer expectations, rising interest in traffic management, and increasing focus on safety and efficiency.

The generative artificial intelligence (AI) in transportation market size is expected to see rapid growth in the next few years. It will grow to $2.46 billion in 2029 at a compound annual growth rate (CAGR) of 19.5%. The growth in the forecast period can be attributed to increasing focus on cybersecurity, increasing supply chain management, the rise of smart cities, growth of mobility-as-a-service (MaaS), expansion of autonomous vehicles, and increasing data availability. Major trends in the forecast period include continuous improvements in AI algorithms, adoption of smart solutions, advancements in 5G technology, and convergence of AI with the Internet of Things (IoT), development in cloud-based communication technology.

The growing demand for autonomous vehicles is anticipated to drive the expansion of generative artificial intelligence (AI) in the transportation market. Autonomous vehicles (AVs), or self-driving vehicles, operate without direct human control by using a combination of sensors, cameras, radar, AI, and machine learning algorithms. The increasing demand for AVs is driven by factors such as safety concerns, government policies and incentives, consumer preferences, and traffic congestion. Generative AI enhances the training of autonomous vehicles by generating diverse driving scenarios and simulations, which improves system robustness and safety. It also develops personalized user interfaces to better match user preferences and enhance interactions. For example, the National Highway Traffic Safety Administration reported in December 2022 that there will be 3.5 million self-driving vehicles on U.S. roads by 2025 and 4.5 million by 2030. As a result, the rising demand for autonomous vehicles is propelling the growth of generative AI in the transportation market.

Leading companies in the generative AI in transportation market are focusing on developing advanced technologies such as generative AI (GenAI) chatbots to enhance personalized user experiences. These chatbots facilitate natural language conversations using advanced machine learning models. For instance, in August 2024, Wiliot, an Israel-based company specializing in Internet of Things technology, introduced WiliBot, a generative AI (GenAI) chatbot designed for natural-language interactions with any ambient IoT-connected product. WiliBot connects physical products with digital intelligence, allowing businesses and consumers to engage meaningfully about product details and supply chains. By integrating a large language model (LLM) with Wiliot's ambient IoT technology, WiliBot enables users to inquire about product information such as shelf life, transport history, and sustainability metrics. It uses real-time data from Wiliot's self-powered IoT Pixels, which monitor factors such as location, temperature, and humidity. This data is transmitted via Bluetooth to the Wiliot cloud for analysis. WiliBot's AI algorithms can detect supply chain issues, such as temperature deviations, and generate alerts or recommendations to improve operational efficiency.

In August 2024, Blue Yonder Group, Inc., a US-based supply chain management company, acquired One Network Enterprises for approximately $839 million. This acquisition aims to integrate One Network's Digital Supply Chain Network with Blue Yonder's existing solutions, creating a unified platform for real-time optimization and collaboration across various supply chain tiers, from suppliers to customers. One Network Enterprises, Inc., based in the US, provides generative AI solutions for supply chain management and transportation.

Major companies operating in the generative artificial intelligence (AI) in transportation market are Amazon Web Services Inc., Accenture plc, International Business Machines Corporation, Oracle Corporation, Continental AG, SAP SE, Nvidia Corporation, Capgemini SE, Cognizant Technology Solutions Corp., Infosys Limited, Adobe Inc., HCL Technologies Limited, Wipro Ltd., ServiceNow Inc., Blue Yonder Group Inc., Geotab Inc., Kinaxis Inc., DataRobot Inc., Resilinc Corporation, LLamasoft Inc., ClearMetal Inc.

North America was the largest region in the generative artificial intelligence (AI) in the transportation market in 2024. The regions covered in the generative artificial intelligence (AI) in transportation market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

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

The generative artificial intelligence (AI) in transportation market consists of revenue earned by entities by providing services such as autonomous vehicle navigation, traffic management and control, supply chain optimization, safety enhancements, and urban planning and infrastructure design. The market value includes the value of related goods sold by the service provider or included within the service offering. The generative artificial intelligence (AI) in transportation market also includes sales of embedded AI systems, autonomous systems components, edge AI devices, and AI-enhanced navigation systems. Values in this market are 'factory gate' values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

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.

Generative Artificial Intelligence (AI) 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 generative artificial intelligence (ai) 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 generative artificial intelligence (ai) in transportation ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward? The generative artificial intelligence (ai) 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 Russia-Ukraine war, rising inflation, higher interest rates, and the legacy of the COVID-19 pandemic.

Scope

Table of Contents

1. Executive Summary

2. Generative Artificial Intelligence (AI) In Transportation Market Characteristics

3. Generative Artificial Intelligence (AI) In Transportation Market Trends And Strategies

4. Generative Artificial Intelligence (AI) In Transportation Market - Macro Economic Scenario Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics And Covid And Recovery On The Market

5. Global Generative Artificial Intelligence (AI) In Transportation Growth Analysis And Strategic Analysis Framework

6. Generative Artificial Intelligence (AI) In Transportation Market Segmentation

7. Generative Artificial Intelligence (AI) In Transportation Market Regional And Country Analysis

8. Asia-Pacific Generative Artificial Intelligence (AI) In Transportation Market

9. China Generative Artificial Intelligence (AI) In Transportation Market

10. India Generative Artificial Intelligence (AI) In Transportation Market

11. Japan Generative Artificial Intelligence (AI) In Transportation Market

12. Australia Generative Artificial Intelligence (AI) In Transportation Market

13. Indonesia Generative Artificial Intelligence (AI) In Transportation Market

14. South Korea Generative Artificial Intelligence (AI) In Transportation Market

15. Western Europe Generative Artificial Intelligence (AI) In Transportation Market

16. UK Generative Artificial Intelligence (AI) In Transportation Market

17. Germany Generative Artificial Intelligence (AI) In Transportation Market

18. France Generative Artificial Intelligence (AI) In Transportation Market

19. Italy Generative Artificial Intelligence (AI) In Transportation Market

20. Spain Generative Artificial Intelligence (AI) In Transportation Market

21. Eastern Europe Generative Artificial Intelligence (AI) In Transportation Market

22. Russia Generative Artificial Intelligence (AI) In Transportation Market

23. North America Generative Artificial Intelligence (AI) In Transportation Market

24. USA Generative Artificial Intelligence (AI) In Transportation Market

25. Canada Generative Artificial Intelligence (AI) In Transportation Market

26. South America Generative Artificial Intelligence (AI) In Transportation Market

27. Brazil Generative Artificial Intelligence (AI) In Transportation Market

28. Middle East Generative Artificial Intelligence (AI) In Transportation Market

29. Africa Generative Artificial Intelligence (AI) In Transportation Market

30. Generative Artificial Intelligence (AI) In Transportation Market Competitive Landscape And Company Profiles

31. Generative Artificial Intelligence (AI) In Transportation Market Other Major And Innovative Companies

32. Global Generative Artificial Intelligence (AI) In Transportation Market Competitive Benchmarking And Dashboard

33. Key Mergers And Acquisitions In The Generative Artificial Intelligence (AI) In Transportation Market

34. Recent Developments In The Generative Artificial Intelligence (AI) In Transportation Market

35. Generative Artificial Intelligence (AI) In Transportation Market High Potential Countries, Segments and Strategies

36. Appendix

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