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市場調查報告書
商品編碼
1544624

生產物流市場、機會、成長動力、產業趨勢分析與預測,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個工作天內

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簡介目錄

在技​​術不斷進步以及各行業擴大採用自動化和數位化的推動下,2024年至2032年全球生產物流市場將以4.5%的複合年成長率成長。將物聯網、人工智慧和機器學習等先進技術整合到生產物流中可以提高效率、降低營運成本並改善整體供應鏈管理。隨著企業尋求創新解決方案來最佳化其生產物流營運,對智慧製造和工業 4.0 實踐的日益重視進一步刺激了市場成長。

生產物流市場根據組件、功能、組織規模、最終用途和區域進行細分。

軟體部門將在 2024 年至 2032 年期間為生產物流市場的成長做出重大貢獻。生產物流軟體解決方案可實現整個供應鏈的即時監控、庫存管理和無縫協調,從而提高營運效率並減少停機時間。對基於雲端的物流解決方案的需求不斷成長,以及對推動決策過程的資料分析的需求不斷增加,是推動生產物流中採用軟體組件的關鍵因素。此外,人工智慧和機器學習演算法的進步進一步增強了物流軟體的功能,確保物流營運的最佳化和預測。

到 2032 年,汽車產業將在生產物流市場中佔據顯著佔有率。汽車產業的準時制 (JIT) 交付系統和精益製造實踐的整合需要強大的物流解決方案,以確保及時且經濟高效的生產流程。此外,電動和自動駕駛汽車的成長趨勢需要創新的物流策略來應對新的製造和分銷挑戰,進一步推動市場成長。

由於該地區強大的製造基礎、先進的基礎設施以及對技術創新的大量投資,歐洲生產物流市場將在 2024 年至 2032 年期間實現可觀的成長。歐洲領先的汽車和工業製造公司的存在促進了先進物流解決方案的採用,以提高生產力和競爭力。此外,政府推動智慧製造和工業 4.0 實踐的舉措,以及確保品質和安全的嚴格監管框架,都支持市場擴張。該地區對管理複雜供應鏈的高效物流解決方案的需求不斷成長,進一步促進了歐洲生產物流市場的強勁成長。

目錄

第 1 章:方法與範圍

第 2 章:執行摘要

第 3 章:產業洞察

  • 產業生態系統分析
  • 供應商格局
    • 軟體供應商
    • 服務商
    • 技術提供者
    • 終端用戶
  • 利潤率分析
  • 技術與創新格局
  • 專利分析
  • 重要新聞和舉措
  • 監管環境
  • 衝擊力
    • 成長動力
      • 對更快交貨時間的需求
      • 越來越重視永續因素
      • 工業4.0和智慧製造的採用
      • 全球化和國際貿易的不斷發展
    • 產業陷阱與挑戰
      • 初始投資高
      • 網路安全問題
  • 成長潛力分析
  • 波特的分析
  • PESTEL分析

第 4 章:競爭格局

  • 介紹
  • 公司市佔率分析
  • 競爭定位矩陣
  • 戰略展望矩陣

第 5 章:市場估計與預測:按組成部分,2021 - 2032 年

  • 主要趨勢
  • 硬體
    • 自動儲存和檢索系統 (ASRS)
    • 輸送機和分類系統
    • 自動導引車 (AGV)
    • 機器人揀選系統
    • 其他
  • 軟體
    • 倉庫管理系統(WMS)
    • 運輸管理系統(TMS)
    • 庫存管理系統
    • 供應鏈管理軟體
    • 其他
  • 服務
    • 諮詢
    • 執行
    • 維護與支援
    • 訓練

第 6 章:市場估計與預測:按功能分類,2021 - 2032 年

  • 主要趨勢
  • 庫存管理
  • 訂單處理
  • 運輸管理
  • 倉儲配送
  • 包裝和標籤
  • 供應鏈規劃
  • 其他

第 7 章:市場估計與預測:按組織規模,2021 - 2032 年

  • 主要趨勢
  • 中小企業
  • 大型企業

第 8 章:市場估計與預測:按最終用途,2021 - 2032 年

  • 主要趨勢
  • 汽車
  • 消費品
  • 衛生保健
  • 食品和飲料
  • 零售與電子商務
  • 航太和國防
  • 電子產品
  • 化學品
  • 藥品
  • 其他

第 9 章:市場估計與預測:按地區,2021 - 2032

  • 主要趨勢
  • 北美洲
    • 美國
    • 加拿大
  • 歐洲
    • 英國
    • 德國
    • 法國
    • 義大利
    • 西班牙
    • 荷蘭
    • 歐洲其他地區
  • 亞太地區
    • 中國
    • 印度
    • 日本
    • 韓國
    • 澳新銀行
    • 東南亞
    • 亞太地區其他地區
  • 拉丁美洲
    • 巴西
    • 墨西哥
    • 阿根廷
    • 拉丁美洲其他地區
  • MEA
    • 阿拉伯聯合大公國
    • 南非
    • 沙烏地阿拉伯
    • MEA 的其餘部分

第 10 章:公司簡介

  • 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.
簡介目錄
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.