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市场调查报告书
商品编码
1544624

生产物流市场、机会、成长动力、产业趋势分析与预测,2024-2032

Production Logistics Market, Opportunity, Growth Drivers, Industry Trend Analysis and Forecast, 2024-2032

出版日期: | 出版商: Global Market Insights Inc. | 英文 240 Pages | 商品交期: 2-3个工作天内

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简介目录

在技​​术不断进步以及各行业越来越多地采用自动化和数位化的推动下,2024年至2032年全球生产物流市场将以4.5%的复合年增长率成长。将物联网、人工智慧和机器学习等先进技术整合到生产物流中可以提高效率、降低营运成本并改善整体供应链管理。随着企业寻求创新解决方案来优化其生产物流运营,对智慧製造和工业 4.0 实践的日益重视进一步刺激了市场成长。

生产物流市场根据组件、功能、组织规模、最终用途和区域进行细分。

软体部门将在 2024 年至 2032 年期间为生产物流市场的成长做出重大贡献。生产物流软体解决方案可实现整个供应链的即时监控、库存管理和无缝协调,从而提高营运效率并减少停机时间。对基于云端的物流解决方案的需求不断增长,以及对推动决策过程的资料分析的需求不断增加,是推动生产物流中采用软体组件的关键因素。此外,人工智慧和机器学习演算法的进步进一步增强了物流软体的功能,确保物流运营的最佳化和预测。

到 2032 年,汽车产业将在生产物流市场中占据显着份额。汽车产业的准时制 (JIT) 交付系统和精益製造实践的整合需要强大的物流解决方案,以确保及时且经济高效的生产流程。此外,电动和自动驾驶汽车的成长趋势需要创新的物流策略来应对新的製造和分销挑战,进一步推动市场成长。

由于该地区强大的製造基础、先进的基础设施以及对技术创新的大量投资,欧洲生产物流市场将在 2024 年至 2032 年期间实现可观的成长。欧洲领先的汽车和工业製造公司的存在促进了先进物流解决方案的采用,以提高生产力和竞争力。此外,政府推动智慧製造和工业 4.0 实践的倡议,以及确保品质和安全的严格监管框架,都支持市场扩张。该地区对管理复杂供应链的高效物流解决方案的需求不断增长,进一步促进了欧洲生产物流市场的强劲成长。

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
    • 软体供应商
    • 服务商
    • 技术提供者
    • 终端用户
  • 利润率分析
  • 技术与创新格局
  • 专利分析
  • 重要新闻和倡议
  • 监管环境
  • 衝击力
    • 成长动力
      • 对更快交货时间的需求
      • 越来越重视永续因素
      • 工业4.0和智慧製造的采用
      • 全球化和国际贸易的不断发展
    • 产业陷阱与挑战
      • 初始投资高
      • 网路安全问题
  • 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:按组成部分,2021 - 2032 年

  • 主要趋势
  • 硬体
    • 自动储存和检索系统 (ASRS)
    • 输送机和分类系统
    • 自动导引车 (AGV)
    • 机器人拣选系统
    • 其他的
  • 软体
    • 仓库管理系统(WMS)
    • 运输管理系统(TMS)
    • 库存管理系统
    • 供应链管理软体
    • 其他的
  • 服务
    • 咨询
    • 执行
    • 维护与支援
    • 训练

第 6 章:市场估计与预测:按功能划分,2021 - 2032 年

  • 主要趋势
  • 库存管理
  • 订单处理
  • 运输管理
  • 仓储配送
  • 包装和标籤
  • 供应链规划
  • 其他的

第 7 章:市场估计与预测:按组织规模,2021 - 2032 年

  • 主要趋势
  • 中小企业
  • 大型企业

第 8 章:市场估计与预测:按最终用途,2021 - 2032 年

  • 主要趋势
  • 汽车
  • 消费品
  • 卫生保健
  • 食品和饮料
  • 零售与电子商务
  • 航太和国防
  • 电子产品
  • 化学品
  • 药品
  • 其他的

第 9 章:市场估计与预测:按地区,2021 - 2032

  • 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
    • 荷兰
    • 欧洲其他地区
  • 亚太地区
    • 中国
    • 印度
    • 日本
    • 韩国
    • 澳新银行
    • 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

  • A.P. Moller - Maersk (including Damco)
  • Agility Public Warehousing Company K.S.C.P.
  • C.H. Robinson Worldwide, Inc.
  • CEVA Logistics AG
  • DB Schenker Logistics
  • DHL Supply Chain
  • DSV Panalpina A/S
  • Expeditors International of Washington, Inc.
  • Geodis S.A.
  • Hellmann Worldwide Logistics SE and Co. KG
  • J.B. Hunt Transport Services, Inc.
  • Kuehne + Nagel International AG
  • Nippon Express Co., Ltd.
  • Penske Logistics LLC
  • Ryder System, Inc.
  • Sinotrans Limited
  • Toll Group
  • UPS Supply Chain Solutions, Inc.
  • XPO Logistics, Inc.
  • Yusen Logistics Co., Ltd.
简介目录
Product Code: 10159

Global Production Logistics Market will grow at a 4.5% CAGR from 2024 to 2032, propelled by continuous technological advancements and the increasing adoption of automation and digitization across industries. The integration of advanced technologies such as IoT, AI, and machine learning in production logistics enhances efficiency, reduces operational costs, and improves overall supply chain management. The growing emphasis on smart manufacturing and Industry 4.0 practices further stimulates market growth as businesses seek innovative solutions to optimize their production logistics operations.

The Production Logistics Market is segmented based on Component, Function, Organization Size, End-use, and Region.

The software segment will significantly contribute to the production logistics market growth over 2024-2032. Production logistics software solutions enable real-time monitoring, inventory management, and seamless coordination across the supply chain, enhancing operational efficiency and reducing downtime. The rise in demand for cloud-based logistics solutions and the increasing need for data analytics to drive decision-making processes are key factors driving the adoption of software components in production logistics. Additionally, advancements in AI and machine learning algorithms further augment the capabilities of logistics software, ensuring optimized and predictive logistics operations.

The automotive segment will capture a notable share of the production logistics market by 2032. The automotive industry's increasing complexity and the need for efficient logistics solutions to manage large-scale production and supply chain operations drive the demand for advanced production logistics. The integration of just-in-time (JIT) delivery systems and lean manufacturing practices in the automotive sector necessitates robust logistics solutions to ensure timely and cost-effective production processes. Moreover, the growing trend of electric and autonomous vehicles requires innovative logistics strategies to handle new manufacturing and distribution challenges, further propelling the market growth.

Europe production logistics market will drive commendable gains throughout 2024-2032 due to the region's strong manufacturing base, advanced infrastructure, and significant investment in technological innovation. The presence of leading automotive and industrial manufacturing companies in Europe fosters the adoption of advanced logistics solutions to enhance productivity and competitiveness. Additionally, government initiatives promoting smart manufacturing and Industry 4.0 practices, along with stringent regulatory frameworks ensuring quality and safety, support market expansion. The growing demand for efficient logistics solutions to manage complex supply chains in the region further contributes to the strong growth of the production logistics market 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 Software providers
    • 3.2.2 Service provider
    • 3.2.3 Technology providers
    • 3.2.4 End-user
  • 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 Demand for faster delivery times
      • 3.8.1.2 Growing emphasis on sustainability factors
      • 3.8.1.3 Industry 4.0 and adoption of smart manufacturing
      • 3.8.1.4 Rising globalization and international trade
    • 3.8.2 Industry pitfalls and challenges
      • 3.8.2.1 High initial investments
      • 3.8.2.2 Cybersecurity concerns
  • 3.9 Growth potential analysis
  • 3.10 Porter's analysis
  • 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 Component, 2021 - 2032 (USD Billion, Units)

  • 5.1 Key trends
  • 5.2 Hardware
    • 5.2.1 Automated storage and retrieval systems (ASRS)
    • 5.2.2 Conveyors and sortation systems
    • 5.2.3 Automated guided vehicles (AGVs)
    • 5.2.4 Robotic picking systems
    • 5.2.5 Others
  • 5.3 Software
    • 5.3.1 Warehouse management systems (WMS)
    • 5.3.2 Transportation management systems (TMS)
    • 5.3.3 Inventory management systems
    • 5.3.4 Supply chain management software
    • 5.3.5 Others
  • 5.4 Services
    • 5.4.1 Consulting
    • 5.4.2 Implementation
    • 5.4.3 Maintenance and support
    • 5.4.4 Training

Chapter 6 Market Estimates and Forecast, By Function, 2021 - 2032 (USD Billion)

  • 6.1 Key trends
  • 6.2 Inventory management
  • 6.3 Order processing
  • 6.4 Transportation management
  • 6.5 Warehousing and distribution
  • 6.6 Packaging and labeling
  • 6.7 Supply chain planning
  • 6.8 Others

Chapter 7 Market Estimates and Forecast, By Organization Size, 2021 - 2032 (USD Billion)

  • 7.1 Key trends
  • 7.2 SMEs
  • 7.3 Large Enterprises

Chapter 8 Market Estimates and Forecast, By End-Use, 2021 - 2032 (USD Billion)

  • 8.1 Key trends
  • 8.2 Automotive
  • 8.3 Consumer goods
  • 8.4 Healthcare
  • 8.5 Food and beverage
  • 8.6 Retail and e-commerce
  • 8.7 Aerospace and defense
  • 8.8 Electronics
  • 8.9 Chemicals
  • 8.10 Pharmaceuticals
  • 8.11 Others

Chapter 9 Market Estimates and Forecast, By Region, 2021 - 2032 (USD Billion)

  • 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 Netherlands
    • 9.3.7 Rest of Europe
  • 9.4 Asia Pacific
    • 9.4.1 China
    • 9.4.2 India
    • 9.4.3 Japan
    • 9.4.4 South Korea
    • 9.4.5 ANZ
    • 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 A.P. Moller - Maersk (including Damco)
  • 10.2 Agility Public Warehousing Company K.S.C.P.
  • 10.3 C.H. Robinson Worldwide, Inc.
  • 10.4 CEVA Logistics AG
  • 10.5 DB Schenker Logistics
  • 10.6 DHL Supply Chain
  • 10.7 DSV Panalpina A/S
  • 10.8 Expeditors International of Washington, Inc.
  • 10.9 Geodis S.A.
  • 10.10 Hellmann Worldwide Logistics SE and Co. KG
  • 10.11 J.B. Hunt Transport Services, Inc.
  • 10.12 Kuehne + Nagel International AG
  • 10.13 Nippon Express Co., Ltd.
  • 10.14 Penske Logistics LLC
  • 10.15 Ryder System, Inc.
  • 10.16 Sinotrans Limited
  • 10.17 Toll Group
  • 10.18 UPS Supply Chain Solutions, Inc.
  • 10.19 XPO Logistics, Inc.
  • 10.20 Yusen Logistics Co., Ltd.