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封面
市場調查報告書
商品編碼
1987206

物流自動化市場分析與預測（至2035年）：依類型、產品類型、服務、技術、元件、應用、流程、部署模式、最終使用者、解決方案分類

Logistics Automation Market Analysis and Forecast to 2035: Type, Product, Services, Technology, Component, Application, Process, Deployment, End User, Solutions
出版日期: | 出版商: Global Insight Services | 英文 350 Pages | 商品交期: 3-5個工作天內

價格
簡介目錄

全球物流自動化市場預計將從2025年的502億美元成長到2035年的1,125億美元，複合年成長率（CAGR）為8.2%。這一成長主要受電子商務需求成長、人工智慧和機器人技術進步以及供應鏈效率提升和成本降低需求的推動。物流自動化市場呈現中等程度的整合結構，其中倉儲自動化佔據市場主導地位，市佔率約45%，其次是運輸管理系統（30%）和訂單處理自動化（25%）。主要應用包括自動化倉庫系統（AS/RS）、輸送機系統和機器人揀選系統。供應鏈營運效率和準確性的不斷提高推動了市場的大規模應用。

競爭格局由全球性和區域性公司並存，其中Honeywell Intelligent）、德馬泰克（Dematic）和瑞士物流（Swisslog）等全球性企業擁有顯著的影響力。創新蓬勃發展，各公司紛紛投資人工智慧和物聯網以提高營運效率。併購和策略聯盟也是企業拓展技術能力和市場佔有率的常見手段。近期趨勢表明，企業正致力於整合先進技術以提供全面的解決方案，從而增強競爭力並滿足不斷變化的客戶需求。

市場區隔
類型 倉庫自動化、運輸管理、訂單處理自動化、庫存管理、物料輸送自動化等等。
產品 自動導引運輸車（AGV）、自動化倉庫（AS/RS）、輸送機系統、機器人揀選系統、分類系統等。
服務 諮詢、系統整合、維護和支援、培訓及其他服務。
科技 人工智慧、機器學習、物聯網、雲端運算、巨量資料分析等等。
成分 硬體、軟體、服務及其他
應用 零售、電子商務、製造業、食品飲料、製藥、汽車等行業。
流程 入境物流、外向物流、逆向物流等。
實作方法 本機部署、雲端部署、混合式部署等。
最終用戶 第三方物流(3PL) 供應商、倉庫、物流中心、製造商、零售商等。
解決方案 倉庫管理系統、運輸管理系統、訂單管理系統等。

在物流自動化市場中，「類型」細分市場的主要驅動力是供應鏈營運效率和準確性的日益成長的需求。自動化倉庫系統（AS/RS）和輸送機系統是此細分市場的主要動力，因為它們顯著提高了物料輸送流程的速度和可靠性。電子商務和零售業正在利用這些技術來管理大批量訂單，使其成為該細分市場的主要驅動力。倉庫數位化和智慧物流解決方案的發展趨勢正在進一步推動該細分市場的成長。

「技術」板塊專注於將機器人、人工智慧 (AI) 和物聯網 (IoT) 等先進技術整合到物流營運中。機器人技術，尤其是自主移動機器人 (AMR)，正引領著這一板塊的發展，因為它能夠最佳化倉庫運作並降低人事費用。製造業和汽車業是主要採用者，他們致力於提高生產線效率和庫存管理水準。人工智慧和機器學習的持續進步有望增強預測分析能力，並進一步推動這些技術的應用。

在「應用」領域，倉儲管理和運輸管理是物流自動化應用的主要方向。由於需要有效利用空間和快速處理訂單，倉儲解決方案（包括庫存管理和揀貨）正在推動這一領域的發展。全通路零售的興起和對更快交付速度的需求是該領域的主要驅動力。此外，運輸管理系統 (TMS) 的整合也日益普及，實現了即時追蹤和路線最佳化。

「終端用戶」細分市場的需求主要來自電子商務、零售和製造業等行業。電子商務是其中一個主要細分市場，其成長動力源於網路購物的快速發展以及對快速訂單履行的需求。零售商正擴大採用自動化技術來改善客戶體驗並簡化庫存管理。製造業也在投資物流自動化，以提高生產效率並降低營運成本。向工業4.0和智慧工廠的轉型預計將進一步推動該細分市場的需求。

「組件」板塊涵蓋物流自動化所需的硬體、軟體和服務。感測器和自動導引運輸車(AGV) 等硬體組件是該板塊的主要驅動力，因為它們在實現自動化方面發揮著至關重要的作用。倉庫管理系統 (WMS) 和運輸管理系統 (TMS) 等軟體解決方案也至關重要，它們是支援資料驅動決策的基礎。對整合解決方案的需求以及對貫穿整個供應鏈運營的無縫連接的需求，正在推動該板塊的成長。

區域概覽

北美：北美物流自動化市場高度成熟，這主要得益於先進技術的應用和蓬勃發展的電子商務產業。零售、汽車和醫療保健等關鍵產業是市場需求的主要驅動力。美國是其中最值得關注的國家，該國在自動化技術方面投入巨資，以提高供應鏈效率。

歐洲：歐洲物流自動化市場已趨於成熟，這主要得益於嚴格的監管和對永續性的高度重視。汽車和製造業是市場需求的主要驅動力。德國和英國是主導的國家，兩國廣泛採用自動化解決方案來最佳化物流運作。

亞太地區：受蓬勃發展的電子商務和製造業活動的推動，亞太地區的物流自動化市場正在快速擴張。中國和印度是值得關注的國家，它們在自動化領域投入巨資，以支持大規模工業活動並滿足不斷成長的消費需求。

拉丁美洲：拉丁美洲的物流自動化市場正處於發展階段，零售業和農業是推動成長的主要動力。巴西和墨西哥是重點國家，它們致力於透過自動化最佳化供應鏈，以提升自身競爭力。

中東和非洲：中東和非洲的物流自動化市場尚處於起步階段，主要受石油天然氣和建設產業的需求所驅動。阿拉伯聯合大公國和南非是值得關注的國家，它們正在投資自動化技術以簡化物流和配送流程。

主要趨勢和促進因素

趨勢一：物聯網和連網型設備的興起

物聯網 (IoT) 技術與物流自動化的整合正在革新整個產業，顯著提升了即時追蹤、庫存管理和營運效率。物聯網設備實現了供應鏈各環節之間的無縫通訊，提供寶貴的數據洞察，協助預測性維護和需求預測。這種互聯互通有助於最佳化決策流程、降低營運成本，並透過更精準及時的交付服務提升顧客滿意度。

趨勢（2個標題）：自動駕駛汽車和無人機的引入

物流行業正日益廣泛地採用自動駕駛車輛和無人機來提高營運效率並減少對人力的依賴。這些技術在速度、安全性和成本效益方面具有顯著優勢，尤其是在最後一公里配送領域。自動駕駛車輛和無人機正被用於在複雜的城市環境和鄉村地區穿梭，從而縮短配送時間並減少碳排放。監管政策的進步和技術的改進正在進一步加速這些技術在整個行業中的應用。

三大關鍵趨勢：重視永續性和綠色物流。

在監管壓力和消費者對環保實踐的需求推動下，永續性已成為物流自動化領域的關鍵關注點。企業正投資綠色物流解決方案，例如電動車、節能倉庫和永續包裝材料。這些措施不僅能減少對環境的影響，也有助於提升品牌聲譽和顧客忠誠度。向碳中和物流轉型正在透過促進替代燃料和再生能源來源的創新，改變整個產業的格局。

趨勢四：人工智慧（AI）與機器學習（ML）的擴展

人工智慧 (AI) 和機器學習 (ML) 透過提供高級分析、需求預測和路線最佳化，在最佳化物流運營方面發揮著至關重要的作用。這些技術使企業能夠處理大量資料、識別模式並做出明智的決策，從而提高效率並降低成本。此外，人工智慧驅動的自動化透過機器人流程自動化 (RPA) 和智慧分類系統增強了倉庫管理，從而實現更快、更準確的訂單處理。

五大趨勢：電子商務與全通路物流的成長

隨著電子商務的快速發展，對能夠滿足不斷成長的訂單量和客戶對更快交付速度期望的高效物流自動化解決方案的需求日益成長。全通路物流策略正被廣泛採用，旨在提供跨平台無縫購物體驗，這需要先進的庫存管理和配送系統。企業正利用自動化技術提高供應鏈的靈活性，以滿足線上零售不斷變化的需求，同時維持高水準的服務。

目錄

第1章執行摘要

第2章 市場亮點

第3章 市場動態

  • 宏觀經濟分析
  • 市場趨勢
  • 市場促進因素
  • 市場機遇
  • 市場限制因素
  • 複合年均成長率：成長分析
  • 影響分析
  • 新興市場
  • 技術藍圖
  • 戰略框架

第4章：細分市場分析

  • 市場規模及預測：依類型
    • 倉庫自動化
    • 運輸管理
    • 訂單處理自動化
    • 庫存管理
    • 物料輸送自動化
    • 其他
  • 市場規模及預測：依產品分類
    • 自動導引運輸車（AGV）
    • 自動化倉庫系統（AS/RS）
    • 輸送機系統
    • 機器人揀選系統
    • 分類系統
    • 其他
  • 市場規模及預測：依服務分類
    • 諮詢
    • 系統整合
    • 維護和支援
    • 訓練
    • 其他
  • 市場規模及預測：依技術分類
    • 人工智慧
    • 機器學習
    • 物聯網 (IoT)
    • 雲端運算
    • 巨量資料分析
    • 其他
  • 市場規模及預測：依組件分類
    • 硬體
    • 軟體
    • 服務
    • 其他
  • 市場規模及預測：依應用領域分類
    • 零售
    • 電子商務
    • 製造業
    • 食品/飲料
    • 製藥
    • 車
    • 其他
  • 市場規模及預測：依製程分類
    • 入境物流
    • 外向物流
    • 逆向物流
    • 其他
  • 市場規模及預測：依市場細分
    • 現場
    • 基於雲端的
    • 混合
    • 其他
  • 市場規模及預測：依最終用戶分類
    • 第三方物流(3PL) 供應商
    • 倉庫
    • 物流中心
    • 製造商
    • 零售商
    • 其他
  • 市場規模及預測：按解決方案分類
    • 倉庫管理系統
    • 運輸管理系統
    • 訂單管理系統
    • 其他

第5章 區域分析

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 拉丁美洲
    • 巴西
    • 阿根廷
    • 其他拉丁美洲地區
  • 亞太地區
    • 中國
    • 印度
    • 韓國
    • 日本
    • 澳洲
    • 台灣
    • 亞太其他地區
  • 歐洲
    • 德國
    • 法國
    • 英國
    • 西班牙
    • 義大利
    • 其他歐洲地區
  • 中東和非洲
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 南非
    • 撒哈拉以南非洲
    • 其他中東和非洲地區

第6章 市場策略

  • 供需差距分析
  • 貿易和物流限制
  • 價格、成本和利潤率趨勢
  • 市場滲透率
  • 消費者分析
  • 監管概述

第7章 競爭訊息

  • 市場定位
  • 市場占有率
  • 競爭基準
  • 主要企業的策略

第8章：公司簡介

  • Siemens
  • Honeywell
  • Daifuku
  • Kion Group
  • Dematic
  • Murata Machinery
  • SSI Schaefer
  • Jungheinrich
  • Knapp AG
  • TGW Logistics Group
  • Vanderlande Industries
  • Swisslog
  • Mecalux
  • Beumer Group
  • Fives Group
  • Intelligrated
  • Bastian Solutions
  • Elettric 80
  • Ocado Group
  • GreyOrange

第9章 關於我們

簡介目錄
Product Code: GIS20387

The global Logistics Automation Market is projected to grow from $50.2 billion in 2025 to $112.5 billion by 2035, at a compound annual growth rate (CAGR) of 8.2%. This growth is driven by increasing e-commerce demand, advancements in AI and robotics, and the need for supply chain efficiency and cost reduction. The Logistics Automation Market is characterized by a moderately consolidated structure, with the warehouse and storage automation segment leading at approximately 45% market share, followed by transportation management systems at 30%, and order processing automation at 25%. Key applications include automated storage and retrieval systems (AS/RS), conveyor systems, and robotic picking systems. The market is witnessing a significant volume of installations, driven by the increasing demand for efficiency and accuracy in supply chain operations.

The competitive landscape features a mix of global and regional players, with global companies such as Honeywell Intelligrated, Dematic, and Swisslog holding substantial influence. The degree of innovation is high, with companies investing in AI and IoT to enhance operational efficiency. Mergers and acquisitions, as well as strategic partnerships, are prevalent as companies aim to expand their technological capabilities and market reach. Recent trends indicate a focus on integrating advanced technologies to offer comprehensive solutions, thereby enhancing competitiveness and addressing evolving customer demands.

Market Segmentation
TypeWarehouse Automation, Transportation Management, Order Processing Automation, Inventory Management, Material Handling Automation, Others
ProductAutomated Guided Vehicles (AGVs), Automated Storage and Retrieval Systems (AS/RS), Conveyor Systems, Robotic Picking Systems, Sortation Systems, Others
ServicesConsulting, System Integration, Maintenance and Support, Training, Others
TechnologyArtificial Intelligence, Machine Learning, Internet of Things (IoT), Cloud Computing, Big Data Analytics, Others
ComponentHardware, Software, Services, Others
ApplicationRetail, E-commerce, Manufacturing, Food and Beverage, Pharmaceutical, Automotive, Others
ProcessInbound Logistics, Outbound Logistics, Reverse Logistics, Others
DeploymentOn-Premise, Cloud-Based, Hybrid, Others
End UserThird-Party Logistics (3PL) Providers, Warehouses, Distribution Centers, Manufacturers, Retailers, Others
SolutionsWarehouse Management Systems, Transportation Management Systems, Order Management Systems, Others

In the Logistics Automation Market, the 'Type' segment is primarily driven by the increasing need for efficiency and accuracy in supply chain operations. Automated storage and retrieval systems (AS/RS) and conveyor systems dominate this segment, as they significantly enhance the speed and reliability of material handling processes. The e-commerce and retail industries are key drivers, leveraging these technologies to manage high-volume order fulfillment. The trend towards warehouse digitalization and smart logistics solutions is further propelling growth in this segment.

The 'Technology' segment focuses on the integration of advanced technologies such as robotics, artificial intelligence, and IoT in logistics operations. Robotics, particularly autonomous mobile robots (AMRs), lead this segment due to their ability to optimize warehouse operations and reduce labor costs. The manufacturing and automotive sectors are major adopters, seeking to streamline production lines and inventory management. The ongoing advancements in AI and machine learning are expected to enhance predictive analytics capabilities, driving further adoption.

In the 'Application' segment, warehousing and transportation management are the primary areas where logistics automation is applied. Warehousing solutions, including inventory management and order picking, dominate due to the need for efficient space utilization and quick order processing. The rise of omni-channel retailing and the demand for faster delivery times are key factors driving this segment. Additionally, the integration of transportation management systems (TMS) is gaining traction, facilitating real-time tracking and route optimization.

The 'End User' segment sees significant demand from industries such as e-commerce, retail, and manufacturing. E-commerce is the leading subsegment, driven by the exponential growth of online shopping and the need for rapid order fulfillment. Retailers are increasingly adopting automation to enhance customer experience and manage inventory efficiently. Manufacturing companies are also investing in logistics automation to improve production efficiency and reduce operational costs. The shift towards Industry 4.0 and smart factories is expected to further boost demand in this segment.

The 'Component' segment encompasses hardware, software, and services essential for logistics automation. Hardware components, including sensors and automated guided vehicles (AGVs), dominate due to their critical role in enabling automation. Software solutions, such as warehouse management systems (WMS) and transportation management systems (TMS), are also crucial, providing the backbone for data-driven decision-making. The demand for integrated solutions and the need for seamless connectivity across supply chain operations are driving growth in this segment.

Geographical Overview

North America: The logistics automation market in North America is highly mature, driven by advanced technological adoption and a robust e-commerce sector. Key industries such as retail, automotive, and healthcare are major contributors to demand. The United States is the most notable country, with significant investments in automation technologies to enhance supply chain efficiency.

Europe: Europe exhibits a mature logistics automation market, propelled by stringent regulations and a strong focus on sustainability. The automotive and manufacturing sectors are primary demand drivers. Germany and the United Kingdom are leading countries, with extensive adoption of automated solutions to optimize logistics operations.

Asia-Pacific: The logistics automation market in Asia-Pacific is rapidly growing, fueled by burgeoning e-commerce and manufacturing activities. China and India are notable countries, with significant investments in automation to support large-scale industrial operations and meet increasing consumer demands.

Latin America: The logistics automation market in Latin America is in a developing stage, with growth driven by the retail and agriculture sectors. Brazil and Mexico are key countries, focusing on improving supply chain efficiency through automation to enhance competitiveness.

Middle East & Africa: The logistics automation market in the Middle East & Africa is emerging, with demand driven by the oil & gas and construction industries. The United Arab Emirates and South Africa are notable countries, investing in automation technologies to streamline logistics and distribution processes.

Key Trends and Drivers

Trend 1 Title: Rise of IoT and Connected Devices

The integration of Internet of Things (IoT) technology in logistics automation is revolutionizing the industry by enhancing real-time tracking, inventory management, and operational efficiency. IoT devices enable seamless communication between various components of the supply chain, providing valuable data insights that help in predictive maintenance and demand forecasting. This connectivity allows for improved decision-making processes, reduced operational costs, and enhanced customer satisfaction through more accurate and timely delivery services.

Trend 2 Title: Adoption of Autonomous Vehicles and Drones

The logistics sector is increasingly adopting autonomous vehicles and drones to streamline operations and reduce dependency on human labor. These technologies offer significant advantages in terms of speed, safety, and cost-effectiveness, particularly in last-mile delivery scenarios. Autonomous vehicles and drones are being used to navigate complex urban environments and rural areas, ensuring faster delivery times and reducing carbon footprints. Regulatory advancements and technological improvements are further accelerating their deployment across the industry.

Trend 3 Title: Emphasis on Sustainability and Green Logistics

Sustainability has become a critical focus in logistics automation, driven by regulatory pressures and consumer demand for eco-friendly practices. Companies are investing in green logistics solutions, such as electric vehicles, energy-efficient warehouses, and sustainable packaging materials. These initiatives not only help reduce environmental impact but also enhance brand reputation and customer loyalty. The push towards carbon-neutral logistics is fostering innovation in alternative fuels and renewable energy sources, reshaping the industry's landscape.

Trend 4 Title: Expansion of Artificial Intelligence and Machine Learning

Artificial Intelligence (AI) and Machine Learning (ML) are playing pivotal roles in optimizing logistics operations by providing advanced analytics, demand forecasting, and route optimization. These technologies enable companies to process vast amounts of data, identify patterns, and make informed decisions that improve efficiency and reduce costs. AI-driven automation is also enhancing warehouse management through robotic process automation and intelligent sorting systems, leading to faster and more accurate order fulfillment.

Trend 5 Title: Growth of E-commerce and Omnichannel Logistics

The exponential growth of e-commerce is driving the demand for efficient logistics automation solutions that can handle increased order volumes and customer expectations for rapid delivery. Omnichannel logistics strategies are being adopted to provide seamless shopping experiences across various platforms, requiring sophisticated inventory management and distribution systems. Companies are leveraging automation to enhance supply chain agility, ensuring they can meet the dynamic demands of online retail while maintaining high service levels.

Research Scope

  • Estimates and forecasts the overall market size across type, application, and region.
  • Provides detailed information and key takeaways on qualitative and quantitative trends, dynamics, business framework, competitive landscape, and company profiling.
  • Identifies factors influencing market growth and challenges, opportunities, drivers, and restraints.
  • Identifies factors that could limit company participation in international markets to help calibrate market share expectations and growth rates.
  • Evaluates key development strategies like acquisitions, product launches, mergers, collaborations, business expansions, agreements, partnerships, and R&D activities.
  • Analyzes smaller market segments strategically, focusing on their potential, growth patterns, and impact on the overall market.
  • Outlines the competitive landscape, assessing business and corporate strategies to monitor and dissect competitive advancements.

Our research scope provides comprehensive market data, insights, and analysis across a variety of critical areas. We cover Local Market Analysis, assessing consumer demographics, purchasing behaviors, and market size within specific regions to identify growth opportunities. Our Local Competition Review offers a detailed evaluation of competitors, including their strengths, weaknesses, and market positioning. We also conduct Local Regulatory Reviews to ensure businesses comply with relevant laws and regulations. Industry Analysis provides an in-depth look at market dynamics, key players, and trends. Additionally, we offer Cross-Segmental Analysis to identify synergies between different market segments, as well as Production-Consumption and Demand-Supply Analysis to optimize supply chain efficiency. Our Import-Export Analysis helps businesses navigate global trade environments by evaluating trade flows and policies. These insights empower clients to make informed strategic decisions, mitigate risks, and capitalize on market opportunities.

TABLE OF CONTENTS

1 Executive Summary

  • 1.1 Market Size and Forecast
  • 1.2 Market Overview
  • 1.3 Market Snapshot
  • 1.4 Regional Snapshot
  • 1.5 Strategic Recommendations
  • 1.6 Analyst Notes

2 Market Highlights

  • 2.1 Key Market Highlights by Type
  • 2.2 Key Market Highlights by Product
  • 2.3 Key Market Highlights by Services
  • 2.4 Key Market Highlights by Technology
  • 2.5 Key Market Highlights by Component
  • 2.6 Key Market Highlights by Application
  • 2.7 Key Market Highlights by Process
  • 2.8 Key Market Highlights by Deployment
  • 2.9 Key Market Highlights by End User
  • 2.10 Key Market Highlights by Solutions

3 Market Dynamics

  • 3.1 Macroeconomic Analysis
  • 3.2 Market Trends
  • 3.3 Market Drivers
  • 3.4 Market Opportunities
  • 3.5 Market Restraints
  • 3.6 CAGR Growth Analysis
  • 3.7 Impact Analysis
  • 3.8 Emerging Markets
  • 3.9 Technology Roadmap
  • 3.10 Strategic Frameworks
    • 3.10.1 PORTER's 5 Forces Model
    • 3.10.2 ANSOFF Matrix
    • 3.10.3 4P's Model
    • 3.10.4 PESTEL Analysis

4 Segment Analysis

  • 4.1 Market Size & Forecast by Type (2020-2035)
    • 4.1.1 Warehouse Automation
    • 4.1.2 Transportation Management
    • 4.1.3 Order Processing Automation
    • 4.1.4 Inventory Management
    • 4.1.5 Material Handling Automation
    • 4.1.6 Others
  • 4.2 Market Size & Forecast by Product (2020-2035)
    • 4.2.1 Automated Guided Vehicles (AGVs)
    • 4.2.2 Automated Storage and Retrieval Systems (AS/RS)
    • 4.2.3 Conveyor Systems
    • 4.2.4 Robotic Picking Systems
    • 4.2.5 Sortation Systems
    • 4.2.6 Others
  • 4.3 Market Size & Forecast by Services (2020-2035)
    • 4.3.1 Consulting
    • 4.3.2 System Integration
    • 4.3.3 Maintenance and Support
    • 4.3.4 Training
    • 4.3.5 Others
  • 4.4 Market Size & Forecast by Technology (2020-2035)
    • 4.4.1 Artificial Intelligence
    • 4.4.2 Machine Learning
    • 4.4.3 Internet of Things (IoT)
    • 4.4.4 Cloud Computing
    • 4.4.5 Big Data Analytics
    • 4.4.6 Others
  • 4.5 Market Size & Forecast by Component (2020-2035)
    • 4.5.1 Hardware
    • 4.5.2 Software
    • 4.5.3 Services
    • 4.5.4 Others
  • 4.6 Market Size & Forecast by Application (2020-2035)
    • 4.6.1 Retail
    • 4.6.2 E-commerce
    • 4.6.3 Manufacturing
    • 4.6.4 Food and Beverage
    • 4.6.5 Pharmaceutical
    • 4.6.6 Automotive
    • 4.6.7 Others
  • 4.7 Market Size & Forecast by Process (2020-2035)
    • 4.7.1 Inbound Logistics
    • 4.7.2 Outbound Logistics
    • 4.7.3 Reverse Logistics
    • 4.7.4 Others
  • 4.8 Market Size & Forecast by Deployment (2020-2035)
    • 4.8.1 On-Premise
    • 4.8.2 Cloud-Based
    • 4.8.3 Hybrid
    • 4.8.4 Others
  • 4.9 Market Size & Forecast by End User (2020-2035)
    • 4.9.1 Third-Party Logistics (3PL) Providers
    • 4.9.2 Warehouses
    • 4.9.3 Distribution Centers
    • 4.9.4 Manufacturers
    • 4.9.5 Retailers
    • 4.9.6 Others
  • 4.10 Market Size & Forecast by Solutions (2020-2035)
    • 4.10.1 Warehouse Management Systems
    • 4.10.2 Transportation Management Systems
    • 4.10.3 Order Management Systems
    • 4.10.4 Others

5 Regional Analysis

  • 5.1 Global Market Overview
  • 5.2 North America Market Size (2020-2035)
    • 5.2.1 United States
      • 5.2.1.1 Type
      • 5.2.1.2 Product
      • 5.2.1.3 Services
      • 5.2.1.4 Technology
      • 5.2.1.5 Component
      • 5.2.1.6 Application
      • 5.2.1.7 Process
      • 5.2.1.8 Deployment
      • 5.2.1.9 End User
      • 5.2.1.10 Solutions
    • 5.2.2 Canada
      • 5.2.2.1 Type
      • 5.2.2.2 Product
      • 5.2.2.3 Services
      • 5.2.2.4 Technology
      • 5.2.2.5 Component
      • 5.2.2.6 Application
      • 5.2.2.7 Process
      • 5.2.2.8 Deployment
      • 5.2.2.9 End User
      • 5.2.2.10 Solutions
    • 5.2.3 Mexico
      • 5.2.3.1 Type
      • 5.2.3.2 Product
      • 5.2.3.3 Services
      • 5.2.3.4 Technology
      • 5.2.3.5 Component
      • 5.2.3.6 Application
      • 5.2.3.7 Process
      • 5.2.3.8 Deployment
      • 5.2.3.9 End User
      • 5.2.3.10 Solutions
  • 5.3 Latin America Market Size (2020-2035)
    • 5.3.1 Brazil
      • 5.3.1.1 Type
      • 5.3.1.2 Product
      • 5.3.1.3 Services
      • 5.3.1.4 Technology
      • 5.3.1.5 Component
      • 5.3.1.6 Application
      • 5.3.1.7 Process
      • 5.3.1.8 Deployment
      • 5.3.1.9 End User
      • 5.3.1.10 Solutions
    • 5.3.2 Argentina
      • 5.3.2.1 Type
      • 5.3.2.2 Product
      • 5.3.2.3 Services
      • 5.3.2.4 Technology
      • 5.3.2.5 Component
      • 5.3.2.6 Application
      • 5.3.2.7 Process
      • 5.3.2.8 Deployment
      • 5.3.2.9 End User
      • 5.3.2.10 Solutions
    • 5.3.3 Rest of Latin America
      • 5.3.3.1 Type
      • 5.3.3.2 Product
      • 5.3.3.3 Services
      • 5.3.3.4 Technology
      • 5.3.3.5 Component
      • 5.3.3.6 Application
      • 5.3.3.7 Process
      • 5.3.3.8 Deployment
      • 5.3.3.9 End User
      • 5.3.3.10 Solutions
  • 5.4 Asia-Pacific Market Size (2020-2035)
    • 5.4.1 China
      • 5.4.1.1 Type
      • 5.4.1.2 Product
      • 5.4.1.3 Services
      • 5.4.1.4 Technology
      • 5.4.1.5 Component
      • 5.4.1.6 Application
      • 5.4.1.7 Process
      • 5.4.1.8 Deployment
      • 5.4.1.9 End User
      • 5.4.1.10 Solutions
    • 5.4.2 India
      • 5.4.2.1 Type
      • 5.4.2.2 Product
      • 5.4.2.3 Services
      • 5.4.2.4 Technology
      • 5.4.2.5 Component
      • 5.4.2.6 Application
      • 5.4.2.7 Process
      • 5.4.2.8 Deployment
      • 5.4.2.9 End User
      • 5.4.2.10 Solutions
    • 5.4.3 South Korea
      • 5.4.3.1 Type
      • 5.4.3.2 Product
      • 5.4.3.3 Services
      • 5.4.3.4 Technology
      • 5.4.3.5 Component
      • 5.4.3.6 Application
      • 5.4.3.7 Process
      • 5.4.3.8 Deployment
      • 5.4.3.9 End User
      • 5.4.3.10 Solutions
    • 5.4.4 Japan
      • 5.4.4.1 Type
      • 5.4.4.2 Product
      • 5.4.4.3 Services
      • 5.4.4.4 Technology
      • 5.4.4.5 Component
      • 5.4.4.6 Application
      • 5.4.4.7 Process
      • 5.4.4.8 Deployment
      • 5.4.4.9 End User
      • 5.4.4.10 Solutions
    • 5.4.5 Australia
      • 5.4.5.1 Type
      • 5.4.5.2 Product
      • 5.4.5.3 Services
      • 5.4.5.4 Technology
      • 5.4.5.5 Component
      • 5.4.5.6 Application
      • 5.4.5.7 Process
      • 5.4.5.8 Deployment
      • 5.4.5.9 End User
      • 5.4.5.10 Solutions
    • 5.4.6 Taiwan
      • 5.4.6.1 Type
      • 5.4.6.2 Product
      • 5.4.6.3 Services
      • 5.4.6.4 Technology
      • 5.4.6.5 Component
      • 5.4.6.6 Application
      • 5.4.6.7 Process
      • 5.4.6.8 Deployment
      • 5.4.6.9 End User
      • 5.4.6.10 Solutions
    • 5.4.7 Rest of APAC
      • 5.4.7.1 Type
      • 5.4.7.2 Product
      • 5.4.7.3 Services
      • 5.4.7.4 Technology
      • 5.4.7.5 Component
      • 5.4.7.6 Application
      • 5.4.7.7 Process
      • 5.4.7.8 Deployment
      • 5.4.7.9 End User
      • 5.4.7.10 Solutions
  • 5.5 Europe Market Size (2020-2035)
    • 5.5.1 Germany
      • 5.5.1.1 Type
      • 5.5.1.2 Product
      • 5.5.1.3 Services
      • 5.5.1.4 Technology
      • 5.5.1.5 Component
      • 5.5.1.6 Application
      • 5.5.1.7 Process
      • 5.5.1.8 Deployment
      • 5.5.1.9 End User
      • 5.5.1.10 Solutions
    • 5.5.2 France
      • 5.5.2.1 Type
      • 5.5.2.2 Product
      • 5.5.2.3 Services
      • 5.5.2.4 Technology
      • 5.5.2.5 Component
      • 5.5.2.6 Application
      • 5.5.2.7 Process
      • 5.5.2.8 Deployment
      • 5.5.2.9 End User
      • 5.5.2.10 Solutions
    • 5.5.3 United Kingdom
      • 5.5.3.1 Type
      • 5.5.3.2 Product
      • 5.5.3.3 Services
      • 5.5.3.4 Technology
      • 5.5.3.5 Component
      • 5.5.3.6 Application
      • 5.5.3.7 Process
      • 5.5.3.8 Deployment
      • 5.5.3.9 End User
      • 5.5.3.10 Solutions
    • 5.5.4 Spain
      • 5.5.4.1 Type
      • 5.5.4.2 Product
      • 5.5.4.3 Services
      • 5.5.4.4 Technology
      • 5.5.4.5 Component
      • 5.5.4.6 Application
      • 5.5.4.7 Process
      • 5.5.4.8 Deployment
      • 5.5.4.9 End User
      • 5.5.4.10 Solutions
    • 5.5.5 Italy
      • 5.5.5.1 Type
      • 5.5.5.2 Product
      • 5.5.5.3 Services
      • 5.5.5.4 Technology
      • 5.5.5.5 Component
      • 5.5.5.6 Application
      • 5.5.5.7 Process
      • 5.5.5.8 Deployment
      • 5.5.5.9 End User
      • 5.5.5.10 Solutions
    • 5.5.6 Rest of Europe
      • 5.5.6.1 Type
      • 5.5.6.2 Product
      • 5.5.6.3 Services
      • 5.5.6.4 Technology
      • 5.5.6.5 Component
      • 5.5.6.6 Application
      • 5.5.6.7 Process
      • 5.5.6.8 Deployment
      • 5.5.6.9 End User
      • 5.5.6.10 Solutions
  • 5.6 Middle East & Africa Market Size (2020-2035)
    • 5.6.1 Saudi Arabia
      • 5.6.1.1 Type
      • 5.6.1.2 Product
      • 5.6.1.3 Services
      • 5.6.1.4 Technology
      • 5.6.1.5 Component
      • 5.6.1.6 Application
      • 5.6.1.7 Process
      • 5.6.1.8 Deployment
      • 5.6.1.9 End User
      • 5.6.1.10 Solutions
    • 5.6.2 United Arab Emirates
      • 5.6.2.1 Type
      • 5.6.2.2 Product
      • 5.6.2.3 Services
      • 5.6.2.4 Technology
      • 5.6.2.5 Component
      • 5.6.2.6 Application
      • 5.6.2.7 Process
      • 5.6.2.8 Deployment
      • 5.6.2.9 End User
      • 5.6.2.10 Solutions
    • 5.6.3 South Africa
      • 5.6.3.1 Type
      • 5.6.3.2 Product
      • 5.6.3.3 Services
      • 5.6.3.4 Technology
      • 5.6.3.5 Component
      • 5.6.3.6 Application
      • 5.6.3.7 Process
      • 5.6.3.8 Deployment
      • 5.6.3.9 End User
      • 5.6.3.10 Solutions
    • 5.6.4 Sub-Saharan Africa
      • 5.6.4.1 Type
      • 5.6.4.2 Product
      • 5.6.4.3 Services
      • 5.6.4.4 Technology
      • 5.6.4.5 Component
      • 5.6.4.6 Application
      • 5.6.4.7 Process
      • 5.6.4.8 Deployment
      • 5.6.4.9 End User
      • 5.6.4.10 Solutions
    • 5.6.5 Rest of MEA
      • 5.6.5.1 Type
      • 5.6.5.2 Product
      • 5.6.5.3 Services
      • 5.6.5.4 Technology
      • 5.6.5.5 Component
      • 5.6.5.6 Application
      • 5.6.5.7 Process
      • 5.6.5.8 Deployment
      • 5.6.5.9 End User
      • 5.6.5.10 Solutions

6 Market Strategy

  • 6.1 Demand-Supply Gap Analysis
  • 6.2 Trade & Logistics Constraints
  • 6.3 Price-Cost-Margin Trends
  • 6.4 Market Penetration
  • 6.5 Consumer Analysis
  • 6.6 Regulatory Snapshot

7 Competitive Intelligence

  • 7.1 Market Positioning
  • 7.2 Market Share
  • 7.3 Competition Benchmarking
  • 7.4 Top Company Strategies

8 Company Profiles

  • 8.1 Siemens
    • 8.1.1 Overview
    • 8.1.2 Product Summary
    • 8.1.3 Financial Performance
    • 8.1.4 SWOT Analysis
  • 8.2 Honeywell
    • 8.2.1 Overview
    • 8.2.2 Product Summary
    • 8.2.3 Financial Performance
    • 8.2.4 SWOT Analysis
  • 8.3 Daifuku
    • 8.3.1 Overview
    • 8.3.2 Product Summary
    • 8.3.3 Financial Performance
    • 8.3.4 SWOT Analysis
  • 8.4 Kion Group
    • 8.4.1 Overview
    • 8.4.2 Product Summary
    • 8.4.3 Financial Performance
    • 8.4.4 SWOT Analysis
  • 8.5 Dematic
    • 8.5.1 Overview
    • 8.5.2 Product Summary
    • 8.5.3 Financial Performance
    • 8.5.4 SWOT Analysis
  • 8.6 Murata Machinery
    • 8.6.1 Overview
    • 8.6.2 Product Summary
    • 8.6.3 Financial Performance
    • 8.6.4 SWOT Analysis
  • 8.7 SSI Schaefer
    • 8.7.1 Overview
    • 8.7.2 Product Summary
    • 8.7.3 Financial Performance
    • 8.7.4 SWOT Analysis
  • 8.8 Jungheinrich
    • 8.8.1 Overview
    • 8.8.2 Product Summary
    • 8.8.3 Financial Performance
    • 8.8.4 SWOT Analysis
  • 8.9 Knapp AG
    • 8.9.1 Overview
    • 8.9.2 Product Summary
    • 8.9.3 Financial Performance
    • 8.9.4 SWOT Analysis
  • 8.10 TGW Logistics Group
    • 8.10.1 Overview
    • 8.10.2 Product Summary
    • 8.10.3 Financial Performance
    • 8.10.4 SWOT Analysis
  • 8.11 Vanderlande Industries
    • 8.11.1 Overview
    • 8.11.2 Product Summary
    • 8.11.3 Financial Performance
    • 8.11.4 SWOT Analysis
  • 8.12 Swisslog
    • 8.12.1 Overview
    • 8.12.2 Product Summary
    • 8.12.3 Financial Performance
    • 8.12.4 SWOT Analysis
  • 8.13 Mecalux
    • 8.13.1 Overview
    • 8.13.2 Product Summary
    • 8.13.3 Financial Performance
    • 8.13.4 SWOT Analysis
  • 8.14 Beumer Group
    • 8.14.1 Overview
    • 8.14.2 Product Summary
    • 8.14.3 Financial Performance
    • 8.14.4 SWOT Analysis
  • 8.15 Fives Group
    • 8.15.1 Overview
    • 8.15.2 Product Summary
    • 8.15.3 Financial Performance
    • 8.15.4 SWOT Analysis
  • 8.16 Intelligrated
    • 8.16.1 Overview
    • 8.16.2 Product Summary
    • 8.16.3 Financial Performance
    • 8.16.4 SWOT Analysis
  • 8.17 Bastian Solutions
    • 8.17.1 Overview
    • 8.17.2 Product Summary
    • 8.17.3 Financial Performance
    • 8.17.4 SWOT Analysis
  • 8.18 Elettric 80
    • 8.18.1 Overview
    • 8.18.2 Product Summary
    • 8.18.3 Financial Performance
    • 8.18.4 SWOT Analysis
  • 8.19 Ocado Group
    • 8.19.1 Overview
    • 8.19.2 Product Summary
    • 8.19.3 Financial Performance
    • 8.19.4 SWOT Analysis
  • 8.20 GreyOrange
    • 8.20.1 Overview
    • 8.20.2 Product Summary
    • 8.20.3 Financial Performance
    • 8.20.4 SWOT Analysis

9 About Us

  • 9.1 About Us
  • 9.2 Research Methodology
  • 9.3 Research Workflow
  • 9.4 Consulting Services
  • 9.5 Our Clients
  • 9.6 Client Testimonials
  • 9.7 Contact Us