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세계의 AI 물류 시장 보고서(2025년)
AI In Logistics Global Market Report 2025
상품코드 : 1784276
리서치사 : The Business Research Company
발행일 : On Demand Report
페이지 정보 : 영문 250 Pages
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한글목차

AI 물류 시장 규모는 향후 수년간 비약적인 성장이 예상됩니다. 2029년에는 CAGR 47.0%로 1,227억 8,000만 달러에 이를 것으로 예측됩니다. 예측 기간의 성장은 물류 분야에서 자율주행 차량 및 드론의 확산, 공급망 관리에 대한 예측 분석의 수요 증가, 스마트 창고 및 주문 처리 센터의 성장, 투명하고 안전한 거래를 위한 블록체인 기술의 통합, 지속 가능성 및 그린 물류에 대한 관심 증가에 기인할 수 있습니다. 예측 기간의 주요 동향으로는 배송 차량에 AI 기반 경로 최적화 도입, 고객 서비스 및 지원을 위한 AI 챗봇 개발, 물류 자산에 대한 예측 유지보수 솔루션의 등장, 수요 예측 및 재고 관리를 위한 AI 활용, 공급망 복원력을 위한 AI 기반 위험 관리 시스템 구현 등이 있습니다.

향후 5년간 47.0%의 성장 전망은 이전 전망보다 0.1% 소폭 하향 조정된 것입니다. 이 감소는 주로 미국과 다른 국가들 간의 관세 영향에 기인합니다. 주로 아시아에서 조달되는 AI 칩 및 센서에 대한 관세 인상은 AI 물류 기반 최적화 도구의 배포를 지연시켜 효율성 향상과 비용 절감을 저해할 수 있습니다. 또한, 상호 관세와 무역 긴장 및 제한 강화로 인한 전 세계 경제 및 무역에 대한 부정적인 영향으로 그 영향이 더욱 광범위하게 나타날 것입니다.

전자상거래 부문의 급속한 성장은 물류 시장에서의 AI 확장을 촉진할 것으로 예상됩니다. 전자상거래는 온라인에서 상품이나 서비스를 구매 및 판매하고, 거래를 완료하기 위해 데이터와 자금을 전송하는 것을 의미합니다. 물류에 AI를 통합하면 전자상거래 기업은 운영을 최적화하여 경로 최적화, 공급망 관리, 개인 맞춤형 쇼핑 추천 등의 이점을 통해 효율성을 높일 수 있습니다. 예를 들어, 2024년 8월 미국 인구조사국(미국 정부 기관)은 2024년 2분기 미국 소매 전자상거래 매출이 $291.6억 달러로, 전분기 대비 1.3% 증가하고 전년 동기 대비 6.7% 상승했다고 보고했습니다. 총 소매 판매액은 1조 8,269억 달러로 1분기 대비 0.5%, 2023년 2분기 대비 2.1% 증가했습니다. 이처럼 전자상거래의 지속적인 성장은 AI 물류에 대한 수요를 촉진하고 있습니다.

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

HBR
영문 목차

영문목차

Artificial intelligence in logistics encompasses the application of machine learning (ML) and algorithms to automate and optimize different facets of the logistics sector. Its purpose is to streamline routine tasks, enhance efficiency, lower costs, and facilitate intelligent decision-making.

The primary offerings of AI in logistics consist of software and services. Software entails the provision of automation, data analysis, and decision-making support. Various technologies, including machine learning, natural language processing, context awareness computing, and computer vision, are employed across various applications such as self-driving vehicles and forklifts, planning and forecasting, human-machine collaboration, and automation of ordering and processing. These solutions find application in diverse industry verticals including automotive, food and beverages, manufacturing, healthcare, and retail.

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 AI in logistics market research report is one of a series of new reports from The Business Research Company that provides AI in logistics market statistics, including AI in logistics industry global market size, regional shares, competitors with a AI in logistics market share, detailed AI in logistics market segments, market trends and opportunities, and any further data you may need to thrive in the AI in logistics industry. This AI in logistics 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 AI in logistics market size has grown exponentially in recent years. It will grow from $18.01 billion in 2024 to $26.33 billion in 2025 at a compound annual growth rate (CAGR) of 46.2%. The growth in the historic period can be attributed to increasing complexity in supply chain networks, rising demand for real-time logistics solutions, advancements in AI and machine learning technologies, growing e-commerce sector, need for efficiency and cost optimization in logistics operations.

The AI in logistics market size is expected to see exponential growth in the next few years. It will grow to $122.78 billion in 2029 at a compound annual growth rate (CAGR) of 47.0%. The growth in the forecast period can be attributed to expansion of autonomous vehicles and drones in logistics, rising demand for predictive analytics in supply chain management, growth of smart warehouses and fulfillment centers, integration of blockchain technology for transparent and secure transactions, increasing focus on sustainability and green logistics. Major trends in the forecast period include adoption of AI-powered route optimization for delivery fleets, development of AI chatbots for customer service and support, emergence of predictive maintenance solutions for logistics assets, utilization of AI for demand forecasting and inventory management, implementation of AI-enabled risk management systems for supply chain resilience.

The forecast of 47.0% growth over the next five years reflects a slight reduction of 0.1% from the previous projection. This reduction is primarily due to the impact of tariffs between the US and other countries. Increased duties on AI chips and sensors, primarily sourced from Asia, could delay deployment of AI-driven optimization tools in logistics, affecting efficiency gains and cost savings. 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 rapid growth of the e-commerce sector is expected to fuel the expansion of the AI in logistics market. E-commerce involves the buying and selling of goods or services online, as well as the transfer of data and funds to complete transactions. The integration of AI in logistics enables e-commerce businesses to optimize their operations, improving efficiency through benefits like route optimization, supply chain management, and personalized shopping recommendations. For example, in August 2024, the U.S. Census Bureau, a US-based government agency, reported that retail e-commerce sales in the U.S. reached $291.6 billion in Q2 2024, a 1.3% increase from Q1 and a 6.7% rise year-over-year. Total retail sales amounted to $1,826.9 billion, up 0.5% from Q1 and 2.1% from Q2 2023. As such, the continued growth of e-commerce is driving the demand for AI in logistics.

Key players in the AI in logistics market are focusing on introducing advanced solutions, such as AI-powered supply chain management and orchestration solutions, to enhance their competitiveness in the market. These solutions leverage artificial intelligence to streamline and optimize various aspects of the supply chain. For instance, in December 2023, Blue Yonder, an India-based digital supply chain management solutions company, launched Blue Yonder Orchestrator, a generative AI tool that simplifies supply chain management and orchestration. This innovative feature utilizes large language models (LLMs), cloud data, and prompt engineering to recommend supply chain decisions, providing business users with instant access to advice, forecasts, and intelligent decisions to improve supply chain operations.

In October 2022, Dachser Group SE & Co. KG, a Germany-based logistics company, acquired Kasasi GmbH, a German software company specializing in developing and applying AI solutions to optimize transport and logistics operations. This strategic acquisition aims to expand Dachser's capabilities in rail transportation monitoring and analysis solutions, particularly in sectors such as rail, retail, food, and pharmaceuticals. Kasasi GmbH will continue serving its existing clientele while focusing on future expansion in rail transportation monitoring and analysis solutions.

Major companies operating in the AI in logistics market report are Amazon.com Inc., Alphabet Inc., Microsoft Corporation, DHL International GmbH, United Parcel Service, Inc., FedEx Corporation, CEVA Logistics AG, Intel Corporation, IBM Corporation, Oracle Corporation, Kuehne + Nagel International AG, NVIDIA Corporation, XPO Logistics, Inc., Zebra Technologies, HAVI, Infor, Echo Global Logistics, Symbotic, C3 AI, Turvo Inc., project44 Inc., Wise Systems, Inc., Covariant, Cognitivescale Inc., Slync.io Inc., Transportation Applied Intelligence LLC

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

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

The AI in the Logistics market includes revenues earned by entities by providing route optimization, predictive analytics, warehouse automation, demand forecasting, inventory control and planning, and fleet performance. 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.

AI In Logistics 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 ai in logistics 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 ai in logistics ? 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 ai in logistics 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. AI In Logistics Market Characteristics

3. AI In Logistics Market Trends And Strategies

4. AI In Logistics 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 AI In Logistics Growth Analysis And Strategic Analysis Framework

6. AI In Logistics Market Segmentation

7. AI In Logistics Market Regional And Country Analysis

8. Asia-Pacific AI In Logistics Market

9. China AI In Logistics Market

10. India AI In Logistics Market

11. Japan AI In Logistics Market

12. Australia AI In Logistics Market

13. Indonesia AI In Logistics Market

14. South Korea AI In Logistics Market

15. Western Europe AI In Logistics Market

16. UK AI In Logistics Market

17. Germany AI In Logistics Market

18. France AI In Logistics Market

19. Italy AI In Logistics Market

20. Spain AI In Logistics Market

21. Eastern Europe AI In Logistics Market

22. Russia AI In Logistics Market

23. North America AI In Logistics Market

24. USA AI In Logistics Market

25. Canada AI In Logistics Market

26. South America AI In Logistics Market

27. Brazil AI In Logistics Market

28. Middle East AI In Logistics Market

29. Africa AI In Logistics Market

30. AI In Logistics Market Competitive Landscape And Company Profiles

31. AI In Logistics Market Other Major And Innovative Companies

32. Global AI In Logistics Market Competitive Benchmarking And Dashboard

33. Key Mergers And Acquisitions In The AI In Logistics Market

34. Recent Developments In The AI In Logistics Market

35. AI In Logistics Market High Potential Countries, Segments and Strategies

36. Appendix

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