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市場調查報告書

商品編碼

1638880

倉庫模擬市場機會、成長促進因素、產業趨勢分析與預測 2025 - 2034

Warehouse Simulation Market Opportunity, Growth Drivers, Industry Trend Analysis, and Forecast 2025 - 2034

出版日期: 2024年11月08日 | 出版商:

Global Market Insights Inc. | 英文 180 Pages | 商品交期: 2-3個工作天內

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簡介目錄

2024 年，全球倉庫模擬市場規模達到 7.426 億美元，預計 2025 年至 2034 年複合年成長率將達到 13.7%。現代倉庫必須處理各種訂單類型，從個人消費者出貨到大規模企業對企業 (B2B) 訂單。對當日送達、季節性波動和全通路履行的需求進一步加劇了這些複雜性。

自動導引車 (AGV)、機器人揀選臂和自動儲存和檢索系統 (AS/RS) 等自動化系統的日益普及是倉庫模擬市場的關鍵驅動力。在致力於自動化基礎設施之前，公司需要確保投資是值得的並且操作可行。倉庫模擬軟體使企業能夠對各種自動化場景進行建模、評估機器人與人的互動、最佳化工作流程並找出瓶頸。在整合來自多個供應商的不同自動化系統時，這一點尤其重要，因為模擬有助於緩解成本高昂的整合問題並提高整體系統效能。

市場按模擬技術分為離散事件、系統動力學、混合和過程模擬。離散事件模擬(DES) 領域到2024 年將佔據42% 的佔有率，預計到2034 年將超過10 億美元。管理。這些工具是簡化倉庫營運（從供應鏈管理到效率最佳化）不可或缺的一部分。

市場範圍
開始年份	2024年
預測年份	2025-2034
起始值	7.426 億美元
預測值	25億美元
複合年成長率	13.7%

關於部署模型，倉庫模擬市場分為本地解決方案、基於雲端的解決方案和混合解決方案。到2034 年，基於雲端的細分市場預計將達到15 億美元。無縫整合系統（TMS）。這種整合有助於順暢的資料流、全面的分析和端到端的供應鏈可視性。雲端平台還增強了協作，允許利害關係人從任何位置存取、修改和共享模擬模型和見解，從而支援整個供應鏈更好的決策。

美國倉庫模擬市場佔據主導資料，到2024年將佔75%。這些演算法有助於預測維護需求、勞動力需求和潛在的中斷，從而減少停機時間、提高資源利用率並提高效率。

產業生態系統分析
供應商格局
- 仿真軟體供應商
- 數據和分析提供者
- 網路和連接提供者
- 系統整合商
- 最終用戶
利潤率分析
技術差異化因素
- 自動化決策
- 即時同步
- 先進的 3D 視覺化
- 產業特定模組
- 其他
重要新聞和舉措
監管環境
衝擊力
- 成長動力
  - 電子商務高成長
  - 自動化和機器人技術在倉儲中的整合
  - 勞動力管理需求不斷成長
  - 倉庫營運成本最佳化的需求日益增加
- 產業陷阱與挑戰
  - 數據整合挑戰
  - 技術複雜性
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：按模擬技術，2021 - 2034 年

主要趨勢
離散事件模擬 (DES)
系統動力學
混合
過程模擬

第 6 章：市場估計與預測：按應用分類，2021 - 2034 年

主要趨勢
庫存和空間最佳化
訂單揀選和履行模擬
勞動力管理
物料流管理
倉庫佈局與設計
風險與安全分析

第 7 章：市場估計與預測：按部署分類，2021 - 2034 年

主要趨勢
本地
基於雲端
混合

第 8 章：市場估計與預測：依最終用途，2021 - 2032 年

主要趨勢
零售與電子商務
物流運輸
製造業
汽車
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
- 西班牙
- 義大利
- 俄羅斯
- 北歐人
亞太地區
- 中國
- 印度
- 日本
- 韓國
- 澳新銀行
- 東南亞
拉丁美洲
- 巴西
- 墨西哥
- 阿根廷
MEA
- 阿拉伯聯合大公國
- 南非
- 沙烏地阿拉伯

第 10 章：公司簡介

AnyLogic
Applied Materials
Bigbear.ai
Coupa Software
CreateASoft
Dassault Systemes
Dematic
Epicor
FlexSim (Autodesk Company)
Godrej Korber
Honeywell
Incontrol
Mecalux
Oracle
Production Modelling Corporation (PMC)
PTV Group
Rockwell Automation
SAP
Siemens
Simio

簡介目錄

Product Code: 12210

The Global Warehouse Simulation Market reached USD 742.6 million in 2024 and is anticipated to expand at a robust CAGR of 13.7% from 2025 to 2034. The growth of e-commerce has significantly transformed warehouse operations, introducing greater complexity. Modern warehouses must handle a variety of order types, from individual consumer shipments to large-scale business-to-business (B2B) orders. The demand for same-day delivery, seasonal fluctuations, and omnichannel fulfillment further amplify these complexities.

The increasing adoption of automated systems such as Automated Guided Vehicles (AGVs), robotic picking arms, and Automated Storage and Retrieval Systems (AS/RS) is a key driver for the warehouse simulation market. Before committing to automation infrastructure, companies need to ensure the investment is worthwhile and operationally feasible. Warehouse simulation software enables businesses to model various automation scenarios, assess robot-human interaction, optimize workflows, and pinpoint bottlenecks. This is particularly important when integrating different automated systems from multiple vendors, as simulation helps to mitigate costly integration problems and improve overall system performance.

The market is segmented by simulation technology into discrete event, system dynamics, hybrid, and process simulation. The discrete event simulation (DES) segment held a 42% share in 2024, with expectations to surpass USD 1 billion by 2034. Mobile-enabled DES applications revolutionize warehouse management by offering real-time access to simulation outcomes and enhancing decision-making processes. These tools are integral in streamlining warehouse operations, from supply chain management to efficiency optimization.

Market Scope
Start Year	2024
Forecast Year	2025-2034
Start Value	$742.6 Million
Forecast Value	$2.5 Billion
CAGR	13.7%

Regarding deployment models, the warehouse simulation market is divided into on-premises, cloud-based, and hybrid solutions. The cloud-based segment is expected to reach USD 1.5 billion by 2034. Several factors contribute to this growth, including the seamless integration of cloud-based simulations with Warehouse Management Systems (WMS), Enterprise Resource Planning (ERP) systems, and Transportation Management Systems (TMS). This integration facilitates smooth data flow, comprehensive analysis, and end-to-end supply chain visibility. Cloud platforms also enhance collaboration, allowing stakeholders to access, modify, and share simulation models and insights from any location, which supports better decision-making across the supply chain.

The U.S. warehouse simulation market dominated, accounting for 75% in 2024. Advanced AI algorithms help analyze historical and real-time data to forecast demand, optimize inventory management, and automate decision-making. These algorithms help predict maintenance needs, labor requirements, and potential disruptions, reducing downtime, improving resource utilization, and boosting efficiency.

Chapter 1 Methodology & Scope

1.1 Research design
- 1.1.1 Research approach
- 1.1.2 Data collection methods
1.2 Base estimates and calculations
- 1.2.1 Base year calculation
- 1.2.2 Key trends for market estimates
1.3 Forecast model
1.4 Primary research & validation
- 1.4.1 Primary sources
- 1.4.2 Data mining sources
1.5 Market definitions

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 Simulation software providers
- 3.2.2 Data and analytics providers
- 3.2.3 Networking & connectivity providers
- 3.2.4 System integrators
- 3.2.5 End users
3.3 Profit margin analysis
3.4 Technology differentiators
- 3.4.1 Automated decision-making
- 3.4.2 Real-time synchronization
- 3.4.3 Advanced 3D visualization
- 3.4.4 Industry-specific modules
- 3.4.5 Others
3.5 Key news & initiatives
3.6 Regulatory landscape
3.7 Impact forces
- 3.7.1 Growth drivers
  - 3.7.1.1 High e-commerce growth
  - 3.7.1.2 Integration of automation and robotics in warehousing
  - 3.7.1.3 Growing need for labor management
  - 3.7.1.4 Increasing need for cost optimization in warehouse operations
- 3.7.2 Industry pitfalls & challenges
  - 3.7.2.1 Data integration challenges
  - 3.7.2.2 Technical complexity
3.8 Growth potential analysis
3.9 Porter's analysis
3.10 PESTEL analysis

Chapter 4 Competitive Landscape, 2024

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

Chapter 5 Market Estimates & Forecast, By Simulation Technology, 2021 - 2034 ($Bn)

5.1 Key trends
5.2 Discrete event simulation (DES)
5.3 System dynamics
5.4 Hybrid
5.5 Process simulation

Chapter 6 Market Estimates & Forecast, By Application, 2021 - 2034 ($Bn)

6.1 Key trends
6.2 Inventory & space optimization
6.3 Order picking & fulfillment simulation
6.4 Workforce management
6.5 Material flow management
6.6 Warehouse layout and design
6.7 Risk & safety analysis

Chapter 7 Market Estimates & Forecast, By Deployment, 2021 - 2034 ($Bn)

7.1 Key trends
7.2 On-premises
7.3 Cloud-based
7.4 Hybrid

Chapter 8 Market Estimates & Forecast, By End Use, 2021 - 2032 ($Bn)

8.1 Key trends
8.2 Retail & e-commerce
8.3 Logistics & transportation
8.4 Manufacturing
8.5 Automotive
8.6 Healthcare
8.7 Others

Chapter 9 Market Estimates & 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 Spain
- 9.3.5 Italy
- 9.3.6 Russia
- 9.3.7 Nordics
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
9.5 Latin America
- 9.5.1 Brazil
- 9.5.2 Mexico
- 9.5.3 Argentina
9.6 MEA
- 9.6.1 UAE
- 9.6.2 South Africa
- 9.6.3 Saudi Arabia