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市场调查报告书
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1544620

第四方物流 (4PL) 市场、机会、成长动力、产业趋势分析与预测，2024-2032 年

Fourth-Party Logistics (4PL) Market, Opportunity, Growth Drivers, Industry Trend Analysis and Forecast, 2024-2032
出版日期: | 出版商: Global Market Insights Inc. | 英文 270 Pages | 商品交期: 2-3个工作天内

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简介目录

在人工智慧 (AI)、机器学习和巨量资料分析等先进技术整合的推动下，第四方物流 (4PL) 市场规模在 2024 年至 2032 年期间将以超过 6.5% 的复合年增长率成长。根据《富比士》报道，自 2017 年以来，全球企业对人工智慧的采用率增加了一倍多，并且继续以强劲的速度成长，未来几年有望实现更大的扩张。人工智慧和机器学习使 4PL 供应商能够提供预测性见解、自动化决策流程并即时优化物流营运。巨量资料分析透过提供对供应链动态的深入洞察，帮助预测需求、管理库存和简化运输，进一步增强企业的能力。

随着企业努力提高供应链效率，他们开始转向利用先进技术提供即时分析和预测功能的 4PL 供应商。这些创新使公司能够预测潜在的中断、优化交付路线并提高整体物流绩效。预测洞察有助于更有效地预测需求模式和管理库存水平，而路线最佳化则可降低运输成本并缩短交货时间。这些技术的整合正在重塑各产业的物流策略，提高市场估值。

第四方物流行业根据最终用户、营运模式、解决方案、模式和区域进行分类。

由于需要高效、整合的物流管理来处理复杂的供应链，到 2032 年，製造领域将快速成长。製造商正在利用 4PL 供应商来简化营运、降低成本并提高供应链可视性。这些物流合作伙伴提供涵盖供应链规划、采购、仓储和运输的先进解决方案，使製造商能够专注于其核心竞争力，同时受益于更高的效率和可扩展性。

到 2032 年，产业创新者细分市场将实现稳定成长，因为 4PL 供应商不仅透过技术进步和创新策略管理供应链流程，而且还转变供应链流程。第四方物流 (4PL) 参与者正在利用人工智慧、机器学习和巨量资料分析等技术来提供预测见解、优化路线并增强决策能力。透过采用积极主动的物流管理方法，产业创新者正在为效率和有效性设定新的基准，推动 4PL 市场的发展。

2024-2032年欧洲第四方物流业将快速成长。由于需要更大的灵活性、效率和成本效益，欧洲企业越来越多地转向第四方物流 (4PL) 供应商来应对供应链的复杂性。第四方物流 (4PL) 供应商正在利用其区域专业知识提供量身定制的解决方案，以满足本地和国际企业的特定需求。此外，对基础设施和技术的大量投资进一步推动了欧洲 4PL 服务的成长。

目录

第 1 章：方法与范围

第 2 章：执行摘要

第 3 章：产业洞察

  • 产业生态系统分析
  • 供应商格局
    • 入库物流
    • 出库物流
    • 客户至供应商的退货流程
    • 客户至顾客退货流程
    • 加值仓储及配送 (VAWD)
    • 库存管理和最佳化
  • 利润率分析
  • 技术和创新格局
  • 专利分析
  • 重要新闻和倡议
  • 监管环境
  • 衝击力
    • 成长动力
      • 电子商务和零售业的成长
      • 无缝供应链的需求
      • 专注科技与数位化
      • 全球化与跨境贸易
    • 产业陷阱与挑战
      • 对供应链的控制有限
      • 对外部合作伙伴的高度依赖
  • 成长潜力分析
  • 波特的分析
  • PESTEL分析

第 4 章：竞争格局

  • 介绍
  • 公司市占率分析
  • 竞争定位矩阵
  • 战略展望矩阵

第 5 章：市场估计与预测：按解决方案，2021 - 2032 年

  • 主要趋势
  • 供应链优化
  • 运输管理
  • 库存管理
  • 仓库管理
  • 订单履行
  • 货运代理
  • 配送管理

第 6 章：市场估计与预测：按营运模式，2021 - 2032 年

  • 主要趋势
  • 协同加组织
  • 解决方案整合商
  • 产业创新者

第 7 章：市场估计与预测：按模式，2021 - 2032

  • 主要趋势
  • 空气
  • 海
  • 铁路和公路

第 8 章：市场估计与预测：按最终用户划分，2021 - 2032 年

  • 主要趋势
  • 食品和饮料
  • 卫生保健
  • 零售
  • 汽车
  • 製造业
  • 其他的

第 9 章：市场估计与预测：按地区划分，2021 - 2032 年

  • 主要趋势
  • 北美洲
    • 我们
    • 加拿大
  • 欧洲
    • 英国
    • 德国
    • 法国
    • 义大利
    • 西班牙
    • 俄罗斯
    • 北欧人
    • 欧洲其他地区
  • 亚太地区
    • 中国
    • 印度
    • 日本
    • 澳洲
    • 韩国
    • 东南亚
    • 亚太地区其他地区
  • 拉丁美洲
    • 巴西
    • 墨西哥
    • 阿根廷
    • 拉丁美洲其他地区
  • MEA
    • 阿联酋
    • 南非
    • 沙乌地阿拉伯
    • MEA 的其余部分

第 10 章：公司简介

  • Agility Logistics
  • CEVA Logistics
  • DB Schenker
  • DHL Supply Chain
  • DSV Panalpina
  • Expeditors International
  • FedEx Supply Chain
  • Geodis
  • Hellmann Worldwide Logistics
  • Kintetsu World Express
  • Kuehne+Nagel
  • Maersk (A.P. Moller-Maersk)
  • Nippon Express
  • Ryder System
  • Sinotrans
  • TMC, a division of C.H. Robinson
  • Toll Group
  • UPS Supply Chain Solutions
  • XPO Logistics
  • Yusen Logistics
简介目录
Product Code: 10155

The Fourth-Party Logistics (4PL) Market Size will grow at over 6.5% CAGR during 2024-2032, driven by the integration of advanced technologies such as artificial intelligence (AI), machine learning, and big data analytics. According to Forbes, the global adoption of AI by enterprises has more than doubled since 2017 and continues to grow at a robust pace, with promising prospects for even greater expansion in the coming years. AI and machine learning enable 4PL providers to offer predictive insights, automate decision-making processes, and optimize logistics operations in real-time. Big data analytics further empowers businesses by providing deep insights into supply chain dynamics, helping to forecast demand, manage inventory, and streamline transportation.

As businesses strive to enhance their supply chain efficiency, they are turning to 4PL providers that leverage advanced technologies to offer real-time analytics and predictive capabilities. These innovations enable companies to anticipate potential disruptions, optimize delivery routes, and improve overall logistics performance. Predictive insights help in forecasting demand patterns and managing inventory levels more effectively, while route optimization reduces transportation costs and improves delivery times. The integration of these technologies is reshaping logistics strategies across various industries, adding to market valuation.

The fourth-party logistics industry is classified based on end-user, operational model, solution, mode, and region.

The manufacturing segment will grow rapidly through 2032, driven by the need for efficient, integrated logistics management to handle complex supply chains. Manufacturers are leveraging 4PL providers to streamline their operations, reduce costs, and enhance supply chain visibility. These logistics partners offer advanced solutions that encompass supply chain planning, procurement, warehousing, and transportation, allowing manufacturers to focus on their core competencies while benefiting from improved efficiency and scalability.

The industry innovator segment will witness steady growth through 2032, as 4PL providers not only manage but also transform supply chain processes through technological advancements and innovative strategies. 4PL players are harnessing technologies such as artificial intelligence, machine learning, and big data analytics to offer predictive insights, optimize routes, and enhance decision-making capabilities. By adopting a proactive approach to logistics management, industry innovators are setting new benchmarks for efficiency and effectiveness, driving the evolution of the 4PL market.

Europe fourth-party logistics industry will witness rapid growth over 2024-2032. European businesses are increasingly turning to 4PL providers to navigate the complexities of the supply chain, driven by the need for greater flexibility, efficiency, and cost-effectiveness. The 4PL providers are capitalizing on their regional expertise to offer tailored solutions that address the specific needs of local and international businesses. Additionally, the significant investments in infrastructure and technology are further fueling the growth of 4PL services in Europe.

Table of Contents

Chapter 1 Methodology and Scope

  • 1.1 Market scope and definition
  • 1.2 Research design
    • 1.2.1 Research approach
    • 1.2.2 Data collection methods
  • 1.3 Base estimates and calculations
    • 1.3.1 Base year calculation
    • 1.3.2 Key trends for market estimation
  • 1.4 Forecast model
  • 1.5 Primary research and validation
    • 1.5.1 Primary sources
    • 1.5.2 Data mining sources

Chapter 2 Executive Summary

  • 2.1 Industry 360° synopsis, 2021 - 2032

Chapter 3 Industry Insights

  • 3.1 Industry ecosystem analysis
  • 3.2 Supplier landscape
    • 3.2.1 Inbound logistics
    • 3.2.2 Outbound logistics
    • 3.2.3 Client to supplier return process
    • 3.2.4 Customer to client return process
    • 3.2.5 Value-added Warehousing and Distribution (VAWD)
    • 3.2.6 Inventory management and optimization
  • 3.3 Profit margin analysis
  • 3.4 Technology and innovation landscape
  • 3.5 Patent analysis
  • 3.6 Key news and initiatives
  • 3.7 Regulatory landscape
  • 3.8 Impact forces
    • 3.8.1 Growth drivers
      • 3.8.1.1 Growth of e-commerce and retail
      • 3.8.1.2 Demand for seamless supply chains
      • 3.8.1.3 Focus on technology and digitalization
      • 3.8.1.4 Globalization and cross-border trade
    • 3.8.2 Industry pitfalls and challenges
      • 3.8.2.1 Limited control over supply chain
      • 3.8.2.2 High dependency on external partners
  • 3.9 Growth potential analysis
  • 3.10 Porter's analysis
    • 3.10.1 Supplier power
    • 3.10.2 Buyer power
    • 3.10.3 Threat of new entrants
    • 3.10.4 Threat of substitutes
    • 3.10.5 Industry rivalry
  • 3.11 PESTEL analysis

Chapter 4 Competitive Landscape, 2023

  • 4.1 Introduction
  • 4.2 Company market share analysis
  • 4.3 Competitive positioning matrix
  • 4.4 Strategic outlook matrix

Chapter 5 Market Estimates and Forecast, By Solution, 2021 - 2032 ($Bn)

  • 5.1 Key trends
  • 5.2 Supply chain optimization
  • 5.3 Transportation management
  • 5.4 Inventory management
  • 5.5 Warehouse management
  • 5.6 Order fulfillment
  • 5.7 Freight forwarding
  • 5.8 Distribution management

Chapter 6 Market Estimates and Forecast, By Operational Model, 2021 - 2032 ($Bn)

  • 6.1 Key trends
  • 6.2 Synergy plus organization
  • 6.3 Solution integrator
  • 6.4 Industry innovator

Chapter 7 Market Estimates and Forecast, By Mode, 2021 - 2032 ($Bn)

  • 7.1 Key trends
  • 7.2 Air
  • 7.3 Sea
  • 7.4 Rail and road

Chapter 8 Market Estimates and Forecast, By End User, 2021 - 2032 ($Bn)

  • 8.1 Key trends
  • 8.2 Food and beverage
  • 8.3 Healthcare
  • 8.4 Retail
  • 8.5 Automotive
  • 8.6 Manufacturing
  • 8.7 Others

Chapter 9 Market Estimates and Forecast, By Region, 2021 - 2032 ($Bn)

  • 9.1 Key trends
  • 9.2 North America
    • 9.2.1 U.S.
    • 9.2.2 Canada
  • 9.3 Europe
    • 9.3.1 UK
    • 9.3.2 Germany
    • 9.3.3 France
    • 9.3.4 Italy
    • 9.3.5 Spain
    • 9.3.6 Russia
    • 9.3.7 Nordics
    • 9.3.8 Rest of Europe
  • 9.4 Asia Pacific
    • 9.4.1 China
    • 9.4.2 India
    • 9.4.3 Japan
    • 9.4.4 Australia
    • 9.4.5 South Korea
    • 9.4.6 Southeast Asia
    • 9.4.7 Rest of Asia Pacific
  • 9.5 Latin America
    • 9.5.1 Brazil
    • 9.5.2 Mexico
    • 9.5.3 Argentina
    • 9.5.4 Rest of Latin America
  • 9.6 MEA
    • 9.6.1 UAE
    • 9.6.2 South Africa
    • 9.6.3 Saudi Arabia
    • 9.6.4 Rest of MEA

Chapter 10 Company Profiles

  • 10.1 Agility Logistics
  • 10.2 CEVA Logistics
  • 10.3 DB Schenker
  • 10.4 DHL Supply Chain
  • 10.5 DSV Panalpina
  • 10.6 Expeditors International
  • 10.7 FedEx Supply Chain
  • 10.8 Geodis
  • 10.9 Hellmann Worldwide Logistics
  • 10.10 Kintetsu World Express
  • 10.11 Kuehne+Nagel
  • 10.12 Maersk (A.P. Moller-Maersk)
  • 10.13 Nippon Express
  • 10.14 Ryder System
  • 10.15 Sinotrans
  • 10.16 TMC, a division of C.H. Robinson
  • 10.17 Toll Group
  • 10.18 UPS Supply Chain Solutions
  • 10.19 XPO Logistics
  • 10.20 Yusen Logistics