封面
市場調查報告書
商品編碼
1621650

碼頭調度軟體市場機會、成長促進因素、產業趨勢分析和 2024 年至 2032 年預測

Dock Scheduling Software Market Opportunity, Growth Drivers, Industry Trend Analysis, and Forecast 2024 to 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

價格
簡介目錄

2023年全球碼頭調度軟體市場價值為46億美元,預計2024年至2032年複合年成長率為11%。大的需求後勤。由於消費者期望更快的交貨和更準確的追蹤,碼頭調度軟體對於管理不斷湧入的訂單和最佳化物流營運至關重要。人工智慧 (AI)、物聯網 (IoT) 和機器學習等技術創新正在重塑碼頭調度格局。人工智慧驅動的系統可以分析歷史資料以預測高峰時間並最佳化時間表,而物聯網設備則提供碼頭可用性和庫存水平的即時更新。

這些進步可以實現更智慧、數據驅動的決策,提高營運效率並減少錯誤。隨著技術的進步,碼頭調度解決方案將提供增強的靈活性和改進的資源管理,推動市場的進一步成長。市場分為基於雲端的部署和本地部署。 2023 年,基於雲端的細分市場以 65% 的佔有率主導市場。

基於雲端的碼頭調度軟體因其可擴展性而受到青睞,允許企業根據不斷變化的需求調整資源。它還提供即時資料存取以及與其他雲端系統的無縫整合,從而增強全球供應鏈之間的協作。這種部署模型非常適合提高營運效率並能夠快速回應物流挑戰。從組織規模來看,中小企業細分市場預計成長最快,2024 年至2032 年複合年成長率將超過12%。無需大量基礎設施。

市場範圍
開始年份 2023年
預測年份 2024-2032
起始值 46 億美元
預測值 100 億美元
複合年成長率 11%

自動調度、即時追蹤和資源最佳化等關鍵功能使該軟體對這些企業特別有利。基於雲端的模型提供了經濟性和可擴展性,使中小企業能夠隨著業務的發展調整其使用。 2023年,北美佔據碼頭調度軟體市場最大佔有率,佔33%以上。這歸功於該地區先進的物流基礎設施和高水準的電子商務活動。

北美公司擴大採用碼頭調度解決方案,提供即時追蹤、自動調度以及與其他供應鏈系統的整合,以提高效率並有效管理不斷成長的貨運量

目錄

第 1 章:範圍與方法

  • 市場範圍和定義
  • 基本估計和計算
  • 預測參數
  • 數據來源
    • 基本的
    • 中學
      • 付費來源
      • 公共來源

第 2 章:執行摘要

第 3 章:產業洞察

  • 產業生態系統分析
  • 供應商矩陣
  • 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
    • 電子商務和零售業的成長
    • 需要即時可見性和資料分析
    • 對供應鏈效率的需求增加
    • 更加重視永續性和綠色物流
    • 倉庫自動化的採用率不斷上升
  • 產業陷阱與挑戰
    • 初始成本高
    • 整合的複雜性
  • 成長潛力分析
  • 波特的分析
  • PESTEL分析

第 4 章:競爭格局

  • 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:按部署分類,2021 年 - 2032 年

  • 主要趨勢
  • 基於雲端
  • 本地

第 6 章:市場估計與預測:按功能分類,2021 - 2032 年

  • 主要趨勢
  • 基本調度
  • 進階調度
  • 綜合解決方案
    • 堆場管理
    • 倉庫管理
    • 其他

第 7 章:市場估計與預測:依組織規模,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:依最終用途產業,2021 - 2032 年

  • 主要趨勢
  • 物流運輸
  • 製造業
  • 零售及電子商務
  • 衛生保健
  • 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
    • 歐洲其他地區
  • 亞太地區
    • 中國
    • 印度
    • 日本
    • 韓國
    • 澳新銀行
    • 亞太地區其他地區
  • 拉丁美洲
    • 巴西
    • 墨西哥
    • 拉丁美洲其他地區
  • MEA
    • 阿拉伯聯合大公國
    • 沙烏地阿拉伯
    • 南非
    • MEA 的其餘部分

第 10 章:公司簡介

  • AEB
  • Blue Yonder
  • C3 Solutions
  • Datadocks
  • Descartes Systems
  • Epicor
  • Exotrac
  • Extensiv
  • Infor
  • Intellitrans
  • Kinaxis
  • Manhattan Associates
  • NCR
  • Opendock
  • Oracle
  • Queueme Technologies
  • Rite-Hite
  • SAP
  • Transporeon
  • Zebra Technologies
簡介目錄
Product Code: 11672

The Global Dock Scheduling Software Market was valued at USD 4.6 billion in 2023 and is projected to grow at a CAGR of 11% from 2024 to 2032. The booming e-commerce sector has significantly increased the volume of shipments, creating a greater demand for streamlined logistics. As consumers expect faster delivery and more accurate tracking, dock scheduling software are crucial in managing the growing influx of orders and optimizing logistics operations. Technological innovations such as Artificial Intelligence (AI), the Internet of Things (IoT), and machine learning are reshaping the dock scheduling landscape. AI-driven systems can analyze historical data to predict peak times and optimize schedules, while IoT devices provide real-time updates on dock availability and inventory levels.

These advancements enable smarter, data-driven decision-making, improving operational efficiency and reducing errors. As technology advances, dock scheduling solutions will offer enhanced flexibility and improved resource management, driving further growth in the market. The market is divided into cloud-based and on-premises deployments. In 2023, the cloud-based segment dominated the market with a 65% share.

Cloud-based dock scheduling software is favored for its scalability, allowing businesses to adjust resources in line with their evolving needs. It also offers real-time data access and seamless integration with other cloud systems, enhancing collaboration across global supply chains. This deployment model is ideal to improve operational efficiency and enable swift responses to logistical challenges. By organization size, the SME segment is expected to grow the fastest, with a CAGR of over 12% from 2024 to 2032. Dock scheduling software offers SME an accessible solution to optimize logistics without needing extensive infrastructure.

Market Scope
Start Year2023
Forecast Year2024-2032
Start Value$4.6 Billion
Forecast Value$10 Billion
CAGR11%

Key features like automated scheduling, real-time tracking, and resource optimization make the software particularly beneficial for these businesses. Cloud-based models offer affordability and scalability, allowing SME to adjust their usage as they grow. North America held the largest share of the dock scheduling software market in 2023, accounting for over 33%. This is attributed to the region's advanced logistics infrastructure and high levels of e-commerce activity.

Companies in North America are increasingly adopting dock scheduling solutions that offer real-time tracking, automated scheduling, and integration with other supply chain systems to enhance efficiency and manage growing cargo volumes effectively

Table of Contents

Chapter 1 Scope & Methodology

  • 1.1 Market scope & definition
  • 1.2 Base estimates & calculations
  • 1.3 Forecast parameters
  • 1.4 Data sources
    • 1.4.1 Primary
    • 1.4.2 Secondary
      • 1.4.2.1 Paid sources
      • 1.4.2.2 Public sources

Chapter 2 Executive Summary

  • 2.1 Industry 360° synopsis, 2021 - 2032

Chapter 3 Industry Insights

  • 3.1 Industry ecosystem analysis
  • 3.2 Vendor matrix
  • 3.3 Technology & innovation landscape
  • 3.4 Patent analysis
  • 3.5 Key news and initiatives
  • 3.6 Regulatory landscape
  • 3.7 Impact forces
  • 3.8 Growth drivers
    • 3.8.1 Growth in E-commerce and retail sectors
    • 3.8.2 Need for real-time visibility and data analytics
    • 3.8.3 Increased demand for supply chain efficiency
    • 3.8.4 Increased focus on sustainability and green logistics
    • 3.8.5 Rising adoption of warehouse automation
  • 3.9 Industry pitfalls & challenges
    • 3.9.1 High initial costs
    • 3.9.2 Complexity of integration
  • 3.10 Growth potential analysis
  • 3.11 Porter's analysis
    • 3.11.1 Supplier power
    • 3.11.2 Buyer power
    • 3.11.3 Threat of new entrants
    • 3.11.4 Threat of substitutes
    • 3.11.5 Industry rivalry
  • 3.12 PESTEL analysis

Chapter 4 Competitive Landscape, 2023

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

Chapter 5 Market Estimates & Forecast, By Deployment, 2021 - 2032 (USD Million)

  • 5.1 Key trends
  • 5.2 Cloud-based
  • 5.3 On-premises

Chapter 6 Market Estimates & Forecast, By Functionality, 2021 - 2032 (USD Million)

  • 6.1 Key trends
  • 6.2 Basic scheduling
  • 6.3 Advanced scheduling
  • 6.4 Integrated solutions
    • 6.4.1 Yard management
    • 6.4.2 Warehouse management
    • 6.4.3 Others

Chapter 7 Market Estimates & Forecast, By Organization Size, 2021 - 2032 (USD Million)

  • 7.1 Key trends
  • 7.2 SME
  • 7.3 Large enterprises

Chapter 8 Market Estimates & Forecast, By End Use Industry, 2021 - 2032 (USD Million)

  • 8.1 Key trends
  • 8.2 Logistics and transportation
  • 8.3 Manufacturing
  • 8.4 Retail and E-commerce
  • 8.5 Healthcare
  • 8.6 Others

Chapter 9 Market Estimates & Forecast, By Region, 2021 - 2032 (USD Million)

  • 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 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 Rest of Asia Pacific
  • 9.5 Latin America
    • 9.5.1 Brazil
    • 9.5.2 Mexico
    • 9.5.3 Rest of Latin America
  • 9.6 MEA
    • 9.6.1 UAE
    • 9.6.2 Saudi Arabia
    • 9.6.3 South Africa
    • 9.6.4 Rest of MEA

Chapter 10 Company Profiles

  • 10.1 AEB
  • 10.2 Blue Yonder
  • 10.3 C3 Solutions
  • 10.4 Datadocks
  • 10.5 Descartes Systems
  • 10.6 Epicor
  • 10.7 Exotrac
  • 10.8 Extensiv
  • 10.9 Infor
  • 10.10 Intellitrans
  • 10.11 Kinaxis
  • 10.12 Manhattan Associates
  • 10.13 NCR
  • 10.14 Opendock
  • 10.15 Oracle
  • 10.16 Queueme Technologies
  • 10.17 Rite-Hite
  • 10.18 SAP
  • 10.19 Transporeon
  • 10.20 Zebra Technologies