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市場調查報告書
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1604787

自動化倉庫揀選市場：按揀選類型、方法、發展、應用分類 - 2025-2030 年全球預測

Automated Warehouse Picking Market by Picking Type (Batch Picking, Discrete Picking, Wave Picking), Method (Automated Case Picking System, Batch Picking or Multi-Order Picking, Pallet Picking System), Deployment, Application - Global Forecast 2025-2030
出版日期: | 出版商: 360iResearch | 英文 198 Pages | 商品交期: 最快1-2個工作天內

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2023年自動化倉庫揀貨市場價值為62.5億美元，預計到2024年將達到70.1億美元，複合年成長率為12.65%，到2030年將達到143.9億美元。

自動化倉庫揀選是更廣泛的物流和供應鏈管理產業的關鍵部分，透過機器人、人工智慧和物聯網等技術進步徹底改變了倉庫處理訂單的方式。對自動揀選系統的需求源於電子商務的爆炸性成長和消費者對快速交貨的期望，這增加了對訂單處理的效率、準確性和速度的需求。這些系統廣泛用於零售、製造和製藥等多個行業，以提高業務效率並降低成本，同時最大限度地減少人為錯誤。最終用途範圍主要集中在處理大量庫存的大型物流中心和倉庫，但較小的設施也可以大大受益。

主要市場統計
基準年[2023] 62.5億美元
預計年份 [2024] 70.1億美元
預測年份 [2030] 143.9億美元
複合年成長率（%） 12.65%

影響該市場的主要成長要素包括人工智慧和機器人技術的進步、人事費用的上升以及向工業 4.0 實踐的持續轉變。此外，機器學習演算法的整合可實現更智慧的庫存管理和更好的揀選模式預測，從而開闢了新的創新途徑。潛在的機會包括僱用協作機器人（cobot）與人類工人一起工作，改造現有基礎設施以包括自動化功能，以及開發高度可自訂的解決方案以滿足特定產業的需求。擴展到新興市場以及與高科技公司合作實現無縫軟體整合也是推薦的策略。

然而，高昂的初始投資成本、持續的維護要求和網路安全威脅等挑戰是廣泛採用的主要障礙。此外，從傳統系統遷移到自動化解決方案的複雜性對於擁有遺留系統的企業來說可能是難以承受的。因此，降低這些技術的成本和複雜性的創新將是非常有益的。公司可以將研究重點放在改進方便用戶使用介面、易於擴充性的模組化系統以及增強即時決策的人工智慧功能上。此外，了解市場動態但分散的性質表明，透過優先考慮靈活性和技術進步的策略聯盟和投資可以獲得成長機會。

市場動態：揭示快速發展的自動化倉庫揀選市場的關鍵市場洞察

供需的動態交互作用正在改變自動化倉庫揀貨市場。透過了解這些不斷變化的市場動態，公司可以準備好做出明智的投資決策、完善策略決策並抓住新的商機。全面了解這些趨勢可以幫助企業降低政治、地理、技術、社會和經濟領域的風險，同時消費行為及其對製造成本的影響以及對採購趨勢的影響。

  • 市場促進因素
    • 電商領域及倉儲業務大幅拓展
    • 增加採用率以提高生產力並減少人為錯誤
    • 自動揀貨機器人在中小型倉庫的採用
  • 市場限制因素
    • 倉庫自動化程序成本高
  • 市場機會
    • 政府針對工業自動化的舉措
    • 自動化倉庫揀貨解決方案的進步
  • 市場挑戰
    • 缺乏熟練的專業人員和複雜的處理程序

波特五力：駕馭自動化倉庫揀貨市場的策略工具

波特的五力架構是了解自動化倉庫揀貨市場競爭格局的關鍵工具。波特的五力框架為評估公司的競爭地位和探索策略機會提供了清晰的方法。該框架可幫助公司評估市場動態並確定新業務的盈利。這些見解使公司能夠利用自己的優勢、解決弱點並避免潛在的挑戰，以確保更強大的市場地位。

PESTLE分析：了解自動化倉庫揀貨市場的外部影響

外部宏觀環境因素在塑造自動化倉庫揀貨市場的績效動態方面發揮著至關重要的作用。對政治、經濟、社會、技術、法律和環境因素的分析提供了應對這些影響所需的資訊。透過調查 PESTLE 因素，公司可以更了解潛在的風險和機會。這種分析可以幫助企業預測法規、消費者偏好和經濟趨勢的變化，並為他們做出積極主動的決策做好準備。

市場佔有率分析 了解自動化倉庫揀貨市場的競爭狀況

自動化倉庫揀貨市場的詳細市場佔有率分析可以對供應商績效進行全面評估。公司可以透過比較收益、客戶群和成長率等關鍵指標來揭示其競爭地位。該分析揭示了市場集中、分散和整合的趨勢，為供應商提供了製定策略決策所需的洞察力，使他們能夠在日益激烈的競爭中佔有一席之地。

FPNV定位矩陣自動化倉庫揀貨市場供應商績效評估

FPNV 定位矩陣是評估自動化倉庫揀貨市場供應商的關鍵工具。此矩陣允許業務組織根據供應商的商務策略和產品滿意度評估供應商，從而做出符合其目標的明智決策。這四個象限使您能夠清晰、準確地分類供應商，並確定最能滿足您的策略目標的合作夥伴和解決方案。

策略分析和建議描繪了自動化倉庫揀選市場的成功之路

自動化倉庫揀選市場的策略分析對於旨在加強其在全球市場的影響力的公司至關重要。透過審查關鍵資源、能力和績效指標，公司可以識別成長機會並努力改進。這種方法使您能夠克服競爭環境中的挑戰，利用新的商機並取得長期成功。

本報告對市場進行了全面分析，涵蓋關鍵重點領域：

1. 市場滲透率：詳細檢視當前市場環境、主要企業的廣泛資料、評估其在市場中的影響力和整體影響力。

2. 市場開拓：辨識新興市場的成長機會，評估現有領域的擴張潛力，並提供未來成長的策略藍圖。

3. 市場多元化：分析近期產品發布、開拓地區、關鍵產業進展、塑造市場的策略投資。

4. 競爭評估與情報：徹底分析競爭格局，檢驗市場佔有率、業務策略、產品系列、認證、監管核准、專利趨勢、主要企業的技術進步等。

5. 產品開發與創新：重點在於有望推動未來市場成長的最尖端科技、研發活動和產品創新。

我們也回答重要問題，以幫助相關人員做出明智的決策：

1.目前的市場規模和未來的成長預測是多少？

2. 哪些產品、區隔市場和地區提供最佳投資機會？

3.塑造市場的主要技術趨勢和監管影響是什麼？

4.主要廠商的市場佔有率和競爭地位如何？

5. 推動供應商市場進入和退出策略的收益來源和策略機會是什麼？

目錄

第1章 前言

第2章調查方法

第3章執行摘要

第4章市場概況

第5章市場洞察

  • 市場動態
    • 促進因素
      • 電商領域及倉儲業務大幅拓展
      • 擴大採用範圍、提高生產力並減少人為錯誤
      • 中小型倉庫自動揀貨機器人的介紹
    • 抑制因素
      • 倉庫自動化程序高成本
    • 機會
      • 政府對工業自動化的舉措
      • 自動化倉庫揀貨解決方案的進步
    • 任務
      • 缺乏熟練的專業人員和複雜的處理程序
  • 市場區隔分析
  • 波特五力分析
  • PESTEL分析
    • 政治的
    • 經濟
    • 社群
    • 技術的
    • 合法地
    • 環境

第6章依揀選類型分類的自動化倉庫揀選市場

  • 批次揀貨
  • 個人採摘
  • 波浪式揀貨
  • 分區揀貨

第7章自動化倉庫揀貨市場：依方法分類

  • 自動箱揀選系統
  • 批次揀貨或多揀貨
  • 托盤揀選系統
  • 分區揀貨系統

第8章自動化倉庫揀貨市場：依發展分類

  • 雲
  • 本地

第9章自動化倉庫揀貨市場：依應用

  • 建造
  • 電子商務
  • 衛生保健
  • 製造業
  • 零售
  • 運輸/物流

第10章 北美、南美自動化倉庫選購市場

  • 阿根廷
  • 巴西
  • 加拿大
  • 墨西哥
  • 美國

第11章 亞太地區自動化倉庫選購市場

  • 澳洲
  • 中國
  • 印度
  • 印尼
  • 日本
  • 馬來西亞
  • 菲律賓
  • 新加坡
  • 韓國
  • 台灣
  • 泰國
  • 越南

第12章 歐洲、中東、非洲自動化倉庫揀貨市場

  • 丹麥
  • 埃及
  • 芬蘭
  • 法國
  • 德國
  • 以色列
  • 義大利
  • 荷蘭
  • 奈及利亞
  • 挪威
  • 波蘭
  • 卡達
  • 俄羅斯
  • 沙烏地阿拉伯
  • 南非
  • 西班牙
  • 瑞典
  • 瑞士
  • 土耳其
  • 阿拉伯聯合大公國
  • 英國

第13章競爭格局

  • 2023 年市場佔有率分析
  • FPNV 定位矩陣，2023
  • 競爭情境分析
    • 永恆力股份公司收購儲存解決方案集團
  • 戰略分析和建議

公司名單

  • Barcodes Inc.
  • Bastian Solutions, LLC
  • Dalian Sertag Technology Co.,Ltd.
  • Dematic Group Limited
  • Finale, Inc.
  • Fortna Inc.
  • Hitachi, Ltd.
  • Honeywell International Inc.
  • Kardex Holding AG
  • Keymas Ltd.
  • KNAPP AG
  • Lokpal Industries
  • Mecalux SA
  • Metalprogetti Spa
  • Modula Inc.
  • Prime Robotics
  • SalesWarp
  • Stephen Sanderson Transport Ltd.
  • Suzhou Pioneer Material Handling Equipment & Technology Co.,Ltd.
  • Swisslog Holding AG
  • Technosys Equipments Private Limited
  • Toyota Material Handling, Inc.
  • Tranquil
  • ULMA Handling Systems
  • Westfalia Technologies, Inc.
Product Code: MRR-E216528579D4

The Automated Warehouse Picking Market was valued at USD 6.25 billion in 2023, expected to reach USD 7.01 billion in 2024, and is projected to grow at a CAGR of 12.65%, to USD 14.39 billion by 2030.

Automated warehouse picking represents a pivotal segment within the broader logistics and supply chain management industry, revolutionizing how warehouses handle order fulfillment through technological advancements such as robotics, AI, and IoT. The necessity for automated picking systems is driven by the increasing demands for efficiency, accuracy, and speed in order processing due to the explosive growth of e-commerce and consumer expectations for rapid delivery. Applications of these systems span across various industries, including retail, manufacturing, and pharmaceuticals, providing enhanced operational efficiencies and cost reductions while minimizing human error. The end-use scope primarily focuses on large-scale distribution centers and warehouses that handle substantial volumes of inventory, though smaller facilities can also reap significant benefits.

KEY MARKET STATISTICS
Base Year [2023] USD 6.25 billion
Estimated Year [2024] USD 7.01 billion
Forecast Year [2030] USD 14.39 billion
CAGR (%) 12.65%

Key growth factors influencing this market include advancements in AI and robotics technology, rising labor costs, and the ongoing shift towards Industry 4.0 practices. Moreover, the integration of machine learning algorithms for smarter inventory management and better prediction of picking patterns opens new avenues for innovation. Potential opportunities lie in adopting collaborative robots (cobots) that work alongside human workers, in retrofitting existing infrastructure to include automation capabilities, and in developing highly customizable solutions to meet industry-specific needs. Expansion into emerging markets and partnerships with tech companies for seamless integration of software are also recommended strategies.

However, challenges such as high initial investment costs, ongoing maintenance requirements, and cybersecurity threats pose significant barriers to widespread adoption. Additionally, the complexity of transitioning from traditional systems to automated solutions can be daunting for businesses with legacy systems. Thus, innovation in reducing the cost and complexity of these technologies would be highly beneficial. Businesses can focus their research on improving user-friendly interfaces, modular systems for easier scalability, and enhanced AI capabilities for real-time decision-making. Furthermore, understanding the market's nature as dynamic yet fragmented suggests opportunities for growth through strategic alliances and investments that prioritize flexibility and technological advancement.

Market Dynamics: Unveiling Key Market Insights in the Rapidly Evolving Automated Warehouse Picking Market

The Automated Warehouse Picking Market is undergoing transformative changes driven by a dynamic interplay of supply and demand factors. Understanding these evolving market dynamics prepares business organizations to make informed investment decisions, refine strategic decisions, and seize new opportunities. By gaining a comprehensive view of these trends, business organizations can mitigate various risks across political, geographic, technical, social, and economic domains while also gaining a clearer understanding of consumer behavior and its impact on manufacturing costs and purchasing trends.

  • Market Drivers
    • Significant expansion of e-commerce sectors and warehouse operations
    • Increasing adoption to improve productivity and reduce human errors
    • Adoption of automated picking robots by small and medium-sized warehouses
  • Market Restraints
    • High cost of warehouse automation procedures
  • Market Opportunities
    • Governmental initiatives for automation of industrial sectors
    • Advancements in automated warehouse picking solutions
  • Market Challenges
    • Scarcity of skilled professional and complex handling procedures

Porter's Five Forces: A Strategic Tool for Navigating the Automated Warehouse Picking Market

Porter's five forces framework is a critical tool for understanding the competitive landscape of the Automated Warehouse Picking Market. It offers business organizations with a clear methodology for evaluating their competitive positioning and exploring strategic opportunities. This framework helps businesses assess the power dynamics within the market and determine the profitability of new ventures. With these insights, business organizations can leverage their strengths, address weaknesses, and avoid potential challenges, ensuring a more resilient market positioning.

PESTLE Analysis: Navigating External Influences in the Automated Warehouse Picking Market

External macro-environmental factors play a pivotal role in shaping the performance dynamics of the Automated Warehouse Picking Market. Political, Economic, Social, Technological, Legal, and Environmental factors analysis provides the necessary information to navigate these influences. By examining PESTLE factors, businesses can better understand potential risks and opportunities. This analysis enables business organizations to anticipate changes in regulations, consumer preferences, and economic trends, ensuring they are prepared to make proactive, forward-thinking decisions.

Market Share Analysis: Understanding the Competitive Landscape in the Automated Warehouse Picking Market

A detailed market share analysis in the Automated Warehouse Picking Market provides a comprehensive assessment of vendors' performance. Companies can identify their competitive positioning by comparing key metrics, including revenue, customer base, and growth rates. This analysis highlights market concentration, fragmentation, and trends in consolidation, offering vendors the insights required to make strategic decisions that enhance their position in an increasingly competitive landscape.

FPNV Positioning Matrix: Evaluating Vendors' Performance in the Automated Warehouse Picking Market

The Forefront, Pathfinder, Niche, Vital (FPNV) Positioning Matrix is a critical tool for evaluating vendors within the Automated Warehouse Picking Market. This matrix enables business organizations to make well-informed decisions that align with their goals by assessing vendors based on their business strategy and product satisfaction. The four quadrants provide a clear and precise segmentation of vendors, helping users identify the right partners and solutions that best fit their strategic objectives.

Strategy Analysis & Recommendation: Charting a Path to Success in the Automated Warehouse Picking Market

A strategic analysis of the Automated Warehouse Picking Market is essential for businesses looking to strengthen their global market presence. By reviewing key resources, capabilities, and performance indicators, business organizations can identify growth opportunities and work toward improvement. This approach helps businesses navigate challenges in the competitive landscape and ensures they are well-positioned to capitalize on newer opportunities and drive long-term success.

Key Company Profiles

The report delves into recent significant developments in the Automated Warehouse Picking Market, highlighting leading vendors and their innovative profiles. These include Barcodes Inc., Bastian Solutions, LLC, Dalian Sertag Technology Co.,Ltd., Dematic Group Limited, Finale, Inc., Fortna Inc., Hitachi, Ltd., Honeywell International Inc., Kardex Holding AG, Keymas Ltd., KNAPP AG, Lokpal Industries, Mecalux S.A., Metalprogetti S.p.a., Modula Inc., Prime Robotics, SalesWarp, Stephen Sanderson Transport Ltd., Suzhou Pioneer Material Handling Equipment & Technology Co.,Ltd., Swisslog Holding AG, Technosys Equipments Private Limited, Toyota Material Handling, Inc., Tranquil, ULMA Handling Systems, and Westfalia Technologies, Inc..

Market Segmentation & Coverage

This research report categorizes the Automated Warehouse Picking Market to forecast the revenues and analyze trends in each of the following sub-markets:

  • Based on Picking Type, market is studied across Batch Picking, Discrete Picking, Wave Picking, and Zone Picking.
  • Based on Method, market is studied across Automated Case Picking System, Batch Picking or Multi-Order Picking, Pallet Picking System, and Zone Picking System.
  • Based on Deployment, market is studied across Cloud and On-Premise.
  • Based on Application, market is studied across Construction, eCommerce, Healthcare, Manufacturing, Retail, and Transportation & Logistics.
  • Based on Region, market is studied across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas is further studied across Argentina, Brazil, Canada, Mexico, and United States. The United States is further studied across California, Florida, Illinois, New York, Ohio, Pennsylvania, and Texas. The Asia-Pacific is further studied across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Taiwan, Thailand, and Vietnam. The Europe, Middle East & Africa is further studied across Denmark, Egypt, Finland, France, Germany, Israel, Italy, Netherlands, Nigeria, Norway, Poland, Qatar, Russia, Saudi Arabia, South Africa, Spain, Sweden, Switzerland, Turkey, United Arab Emirates, and United Kingdom.

The report offers a comprehensive analysis of the market, covering key focus areas:

1. Market Penetration: A detailed review of the current market environment, including extensive data from top industry players, evaluating their market reach and overall influence.

2. Market Development: Identifies growth opportunities in emerging markets and assesses expansion potential in established sectors, providing a strategic roadmap for future growth.

3. Market Diversification: Analyzes recent product launches, untapped geographic regions, major industry advancements, and strategic investments reshaping the market.

4. Competitive Assessment & Intelligence: Provides a thorough analysis of the competitive landscape, examining market share, business strategies, product portfolios, certifications, regulatory approvals, patent trends, and technological advancements of key players.

5. Product Development & Innovation: Highlights cutting-edge technologies, R&D activities, and product innovations expected to drive future market growth.

The report also answers critical questions to aid stakeholders in making informed decisions:

1. What is the current market size, and what is the forecasted growth?

2. Which products, segments, and regions offer the best investment opportunities?

3. What are the key technology trends and regulatory influences shaping the market?

4. How do leading vendors rank in terms of market share and competitive positioning?

5. What revenue sources and strategic opportunities drive vendors' market entry or exit strategies?

Table of Contents

1. Preface

  • 1.1. Objectives of the Study
  • 1.2. Market Segmentation & Coverage
  • 1.3. Years Considered for the Study
  • 1.4. Currency & Pricing
  • 1.5. Language
  • 1.6. Stakeholders

2. Research Methodology

  • 2.1. Define: Research Objective
  • 2.2. Determine: Research Design
  • 2.3. Prepare: Research Instrument
  • 2.4. Collect: Data Source
  • 2.5. Analyze: Data Interpretation
  • 2.6. Formulate: Data Verification
  • 2.7. Publish: Research Report
  • 2.8. Repeat: Report Update

3. Executive Summary

4. Market Overview

5. Market Insights

  • 5.1. Market Dynamics
    • 5.1.1. Drivers
      • 5.1.1.1. Significant expansion of e-commerce sectors and warehouse operations
      • 5.1.1.2. Increasing adoption to improve productivity and reduce human errors
      • 5.1.1.3. Adoption of automated picking robots by small and medium-sized warehouses
    • 5.1.2. Restraints
      • 5.1.2.1. High cost of warehouse automation procedures
    • 5.1.3. Opportunities
      • 5.1.3.1. Governmental initiatives for automation of industrial sectors
      • 5.1.3.2. Advancements in automated warehouse picking solutions
    • 5.1.4. Challenges
      • 5.1.4.1. Scarcity of skilled professional and complex handling procedures
  • 5.2. Market Segmentation Analysis
  • 5.3. Porter's Five Forces Analysis
    • 5.3.1. Threat of New Entrants
    • 5.3.2. Threat of Substitutes
    • 5.3.3. Bargaining Power of Customers
    • 5.3.4. Bargaining Power of Suppliers
    • 5.3.5. Industry Rivalry
  • 5.4. PESTLE Analysis
    • 5.4.1. Political
    • 5.4.2. Economic
    • 5.4.3. Social
    • 5.4.4. Technological
    • 5.4.5. Legal
    • 5.4.6. Environmental

6. Automated Warehouse Picking Market, by Picking Type

  • 6.1. Introduction
  • 6.2. Batch Picking
  • 6.3. Discrete Picking
  • 6.4. Wave Picking
  • 6.5. Zone Picking

7. Automated Warehouse Picking Market, by Method

  • 7.1. Introduction
  • 7.2. Automated Case Picking System
  • 7.3. Batch Picking or Multi-Order Picking
  • 7.4. Pallet Picking System
  • 7.5. Zone Picking System

8. Automated Warehouse Picking Market, by Deployment

  • 8.1. Introduction
  • 8.2. Cloud
  • 8.3. On-Premise

9. Automated Warehouse Picking Market, by Application

  • 9.1. Introduction
  • 9.2. Construction
  • 9.3. eCommerce
  • 9.4. Healthcare
  • 9.5. Manufacturing
  • 9.6. Retail
  • 9.7. Transportation & Logistics

10. Americas Automated Warehouse Picking Market

  • 10.1. Introduction
  • 10.2. Argentina
  • 10.3. Brazil
  • 10.4. Canada
  • 10.5. Mexico
  • 10.6. United States

11. Asia-Pacific Automated Warehouse Picking Market

  • 11.1. Introduction
  • 11.2. Australia
  • 11.3. China
  • 11.4. India
  • 11.5. Indonesia
  • 11.6. Japan
  • 11.7. Malaysia
  • 11.8. Philippines
  • 11.9. Singapore
  • 11.10. South Korea
  • 11.11. Taiwan
  • 11.12. Thailand
  • 11.13. Vietnam

12. Europe, Middle East & Africa Automated Warehouse Picking Market

  • 12.1. Introduction
  • 12.2. Denmark
  • 12.3. Egypt
  • 12.4. Finland
  • 12.5. France
  • 12.6. Germany
  • 12.7. Israel
  • 12.8. Italy
  • 12.9. Netherlands
  • 12.10. Nigeria
  • 12.11. Norway
  • 12.12. Poland
  • 12.13. Qatar
  • 12.14. Russia
  • 12.15. Saudi Arabia
  • 12.16. South Africa
  • 12.17. Spain
  • 12.18. Sweden
  • 12.19. Switzerland
  • 12.20. Turkey
  • 12.21. United Arab Emirates
  • 12.22. United Kingdom

13. Competitive Landscape

  • 13.1. Market Share Analysis, 2023
  • 13.2. FPNV Positioning Matrix, 2023
  • 13.3. Competitive Scenario Analysis
    • 13.3.1. Jungheinrich AG to Acquire Storage Solutions Group
  • 13.4. Strategy Analysis & Recommendation

Companies Mentioned

  • 1. Barcodes Inc.
  • 2. Bastian Solutions, LLC
  • 3. Dalian Sertag Technology Co.,Ltd.
  • 4. Dematic Group Limited
  • 5. Finale, Inc.
  • 6. Fortna Inc.
  • 7. Hitachi, Ltd.
  • 8. Honeywell International Inc.
  • 9. Kardex Holding AG
  • 10. Keymas Ltd.
  • 11. KNAPP AG
  • 12. Lokpal Industries
  • 13. Mecalux S.A.
  • 14. Metalprogetti S.p.a.
  • 15. Modula Inc.
  • 16. Prime Robotics
  • 17. SalesWarp
  • 18. Stephen Sanderson Transport Ltd.
  • 19. Suzhou Pioneer Material Handling Equipment & Technology Co.,Ltd.
  • 20. Swisslog Holding AG
  • 21. Technosys Equipments Private Limited
  • 22. Toyota Material Handling, Inc.
  • 23. Tranquil
  • 24. ULMA Handling Systems
  • 25. Westfalia Technologies, Inc.

LIST OF FIGURES

  • FIGURE 1. AUTOMATED WAREHOUSE PICKING MARKET RESEARCH PROCESS
  • FIGURE 2. AUTOMATED WAREHOUSE PICKING MARKET SIZE, 2023 VS 2030
  • FIGURE 3. GLOBAL AUTOMATED WAREHOUSE PICKING MARKET SIZE, 2018-2030 (USD MILLION)
  • FIGURE 4. GLOBAL AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY REGION, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 5. GLOBAL AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 6. GLOBAL AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY PICKING TYPE, 2023 VS 2030 (%)
  • FIGURE 7. GLOBAL AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY PICKING TYPE, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 8. GLOBAL AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY METHOD, 2023 VS 2030 (%)
  • FIGURE 9. GLOBAL AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY METHOD, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 10. GLOBAL AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY DEPLOYMENT, 2023 VS 2030 (%)
  • FIGURE 11. GLOBAL AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY DEPLOYMENT, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 12. GLOBAL AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY APPLICATION, 2023 VS 2030 (%)
  • FIGURE 13. GLOBAL AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY APPLICATION, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 14. AMERICAS AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
  • FIGURE 15. AMERICAS AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 16. UNITED STATES AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY STATE, 2023 VS 2030 (%)
  • FIGURE 17. UNITED STATES AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY STATE, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 18. ASIA-PACIFIC AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
  • FIGURE 19. ASIA-PACIFIC AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 20. EUROPE, MIDDLE EAST & AFRICA AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
  • FIGURE 21. EUROPE, MIDDLE EAST & AFRICA AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 22. AUTOMATED WAREHOUSE PICKING MARKET SHARE, BY KEY PLAYER, 2023
  • FIGURE 23. AUTOMATED WAREHOUSE PICKING MARKET, FPNV POSITIONING MATRIX, 2023

LIST OF TABLES

  • TABLE 1. AUTOMATED WAREHOUSE PICKING MARKET SEGMENTATION & COVERAGE
  • TABLE 2. UNITED STATES DOLLAR EXCHANGE RATE, 2018-2023
  • TABLE 3. GLOBAL AUTOMATED WAREHOUSE PICKING MARKET SIZE, 2018-2030 (USD MILLION)
  • TABLE 4. GLOBAL AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 5. GLOBAL AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
  • TABLE 6. AUTOMATED WAREHOUSE PICKING MARKET DYNAMICS
  • TABLE 7. GLOBAL AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY PICKING TYPE, 2018-2030 (USD MILLION)
  • TABLE 8. GLOBAL AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY BATCH PICKING, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 9. GLOBAL AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY DISCRETE PICKING, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 10. GLOBAL AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY WAVE PICKING, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 11. GLOBAL AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY ZONE PICKING, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 12. GLOBAL AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY METHOD, 2018-2030 (USD MILLION)
  • TABLE 13. GLOBAL AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY AUTOMATED CASE PICKING SYSTEM, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 14. GLOBAL AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY BATCH PICKING OR MULTI-ORDER PICKING, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 15. GLOBAL AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY PALLET PICKING SYSTEM, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 16. GLOBAL AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY ZONE PICKING SYSTEM, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 17. GLOBAL AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 18. GLOBAL AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY CLOUD, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 19. GLOBAL AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY ON-PREMISE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 20. GLOBAL AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 21. GLOBAL AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY CONSTRUCTION, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 22. GLOBAL AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY ECOMMERCE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 23. GLOBAL AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY HEALTHCARE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 24. GLOBAL AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY MANUFACTURING, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 25. GLOBAL AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY RETAIL, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 26. GLOBAL AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY TRANSPORTATION & LOGISTICS, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 27. AMERICAS AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY PICKING TYPE, 2018-2030 (USD MILLION)
  • TABLE 28. AMERICAS AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY METHOD, 2018-2030 (USD MILLION)
  • TABLE 29. AMERICAS AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 30. AMERICAS AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 31. AMERICAS AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
  • TABLE 32. ARGENTINA AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY PICKING TYPE, 2018-2030 (USD MILLION)
  • TABLE 33. ARGENTINA AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY METHOD, 2018-2030 (USD MILLION)
  • TABLE 34. ARGENTINA AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 35. ARGENTINA AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 36. BRAZIL AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY PICKING TYPE, 2018-2030 (USD MILLION)
  • TABLE 37. BRAZIL AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY METHOD, 2018-2030 (USD MILLION)
  • TABLE 38. BRAZIL AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 39. BRAZIL AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 40. CANADA AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY PICKING TYPE, 2018-2030 (USD MILLION)
  • TABLE 41. CANADA AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY METHOD, 2018-2030 (USD MILLION)
  • TABLE 42. CANADA AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 43. CANADA AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 44. MEXICO AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY PICKING TYPE, 2018-2030 (USD MILLION)
  • TABLE 45. MEXICO AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY METHOD, 2018-2030 (USD MILLION)
  • TABLE 46. MEXICO AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 47. MEXICO AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 48. UNITED STATES AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY PICKING TYPE, 2018-2030 (USD MILLION)
  • TABLE 49. UNITED STATES AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY METHOD, 2018-2030 (USD MILLION)
  • TABLE 50. UNITED STATES AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 51. UNITED STATES AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 52. UNITED STATES AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY STATE, 2018-2030 (USD MILLION)
  • TABLE 53. ASIA-PACIFIC AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY PICKING TYPE, 2018-2030 (USD MILLION)
  • TABLE 54. ASIA-PACIFIC AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY METHOD, 2018-2030 (USD MILLION)
  • TABLE 55. ASIA-PACIFIC AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 56. ASIA-PACIFIC AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 57. ASIA-PACIFIC AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
  • TABLE 58. AUSTRALIA AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY PICKING TYPE, 2018-2030 (USD MILLION)
  • TABLE 59. AUSTRALIA AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY METHOD, 2018-2030 (USD MILLION)
  • TABLE 60. AUSTRALIA AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 61. AUSTRALIA AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 62. CHINA AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY PICKING TYPE, 2018-2030 (USD MILLION)
  • TABLE 63. CHINA AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY METHOD, 2018-2030 (USD MILLION)
  • TABLE 64. CHINA AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 65. CHINA AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 66. INDIA AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY PICKING TYPE, 2018-2030 (USD MILLION)
  • TABLE 67. INDIA AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY METHOD, 2018-2030 (USD MILLION)
  • TABLE 68. INDIA AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 69. INDIA AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 70. INDONESIA AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY PICKING TYPE, 2018-2030 (USD MILLION)
  • TABLE 71. INDONESIA AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY METHOD, 2018-2030 (USD MILLION)
  • TABLE 72. INDONESIA AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 73. INDONESIA AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 74. JAPAN AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY PICKING TYPE, 2018-2030 (USD MILLION)
  • TABLE 75. JAPAN AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY METHOD, 2018-2030 (USD MILLION)
  • TABLE 76. JAPAN AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 77. JAPAN AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 78. MALAYSIA AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY PICKING TYPE, 2018-2030 (USD MILLION)
  • TABLE 79. MALAYSIA AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY METHOD, 2018-2030 (USD MILLION)
  • TABLE 80. MALAYSIA AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 81. MALAYSIA AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 82. PHILIPPINES AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY PICKING TYPE, 2018-2030 (USD MILLION)
  • TABLE 83. PHILIPPINES AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY METHOD, 2018-2030 (USD MILLION)
  • TABLE 84. PHILIPPINES AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 85. PHILIPPINES AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 86. SINGAPORE AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY PICKING TYPE, 2018-2030 (USD MILLION)
  • TABLE 87. SINGAPORE AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY METHOD, 2018-2030 (USD MILLION)
  • TABLE 88. SINGAPORE AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 89. SINGAPORE AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 90. SOUTH KOREA AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY PICKING TYPE, 2018-2030 (USD MILLION)
  • TABLE 91. SOUTH KOREA AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY METHOD, 2018-2030 (USD MILLION)
  • TABLE 92. SOUTH KOREA AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 93. SOUTH KOREA AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 94. TAIWAN AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY PICKING TYPE, 2018-2030 (USD MILLION)
  • TABLE 95. TAIWAN AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY METHOD, 2018-2030 (USD MILLION)
  • TABLE 96. TAIWAN AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 97. TAIWAN AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 98. THAILAND AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY PICKING TYPE, 2018-2030 (USD MILLION)
  • TABLE 99. THAILAND AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY METHOD, 2018-2030 (USD MILLION)
  • TABLE 100. THAILAND AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 101. THAILAND AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 102. VIETNAM AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY PICKING TYPE, 2018-2030 (USD MILLION)
  • TABLE 103. VIETNAM AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY METHOD, 2018-2030 (USD MILLION)
  • TABLE 104. VIETNAM AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 105. VIETNAM AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 106. EUROPE, MIDDLE EAST & AFRICA AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY PICKING TYPE, 2018-2030 (USD MILLION)
  • TABLE 107. EUROPE, MIDDLE EAST & AFRICA AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY METHOD, 2018-2030 (USD MILLION)
  • TABLE 108. EUROPE, MIDDLE EAST & AFRICA AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 109. EUROPE, MIDDLE EAST & AFRICA AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 110. EUROPE, MIDDLE EAST & AFRICA AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
  • TABLE 111. DENMARK AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY PICKING TYPE, 2018-2030 (USD MILLION)
  • TABLE 112. DENMARK AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY METHOD, 2018-2030 (USD MILLION)
  • TABLE 113. DENMARK AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 114. DENMARK AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 115. EGYPT AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY PICKING TYPE, 2018-2030 (USD MILLION)
  • TABLE 116. EGYPT AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY METHOD, 2018-2030 (USD MILLION)
  • TABLE 117. EGYPT AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 118. EGYPT AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 119. FINLAND AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY PICKING TYPE, 2018-2030 (USD MILLION)
  • TABLE 120. FINLAND AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY METHOD, 2018-2030 (USD MILLION)
  • TABLE 121. FINLAND AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 122. FINLAND AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 123. FRANCE AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY PICKING TYPE, 2018-2030 (USD MILLION)
  • TABLE 124. FRANCE AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY METHOD, 2018-2030 (USD MILLION)
  • TABLE 125. FRANCE AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 126. FRANCE AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 127. GERMANY AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY PICKING TYPE, 2018-2030 (USD MILLION)
  • TABLE 128. GERMANY AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY METHOD, 2018-2030 (USD MILLION)
  • TABLE 129. GERMANY AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 130. GERMANY AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 131. ISRAEL AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY PICKING TYPE, 2018-2030 (USD MILLION)
  • TABLE 132. ISRAEL AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY METHOD, 2018-2030 (USD MILLION)
  • TABLE 133. ISRAEL AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 134. ISRAEL AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 135. ITALY AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY PICKING TYPE, 2018-2030 (USD MILLION)
  • TABLE 136. ITALY AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY METHOD, 2018-2030 (USD MILLION)
  • TABLE 137. ITALY AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 138. ITALY AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 139. NETHERLANDS AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY PICKING TYPE, 2018-2030 (USD MILLION)
  • TABLE 140. NETHERLANDS AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY METHOD, 2018-2030 (USD MILLION)
  • TABLE 141. NETHERLANDS AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 142. NETHERLANDS AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 143. NIGERIA AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY PICKING TYPE, 2018-2030 (USD MILLION)
  • TABLE 144. NIGERIA AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY METHOD, 2018-2030 (USD MILLION)
  • TABLE 145. NIGERIA AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 146. NIGERIA AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 147. NORWAY AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY PICKING TYPE, 2018-2030 (USD MILLION)
  • TABLE 148. NORWAY AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY METHOD, 2018-2030 (USD MILLION)
  • TABLE 149. NORWAY AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 150. NORWAY AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 151. POLAND AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY PICKING TYPE, 2018-2030 (USD MILLION)
  • TABLE 152. POLAND AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY METHOD, 2018-2030 (USD MILLION)
  • TABLE 153. POLAND AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 154. POLAND AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 155. QATAR AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY PICKING TYPE, 2018-2030 (USD MILLION)
  • TABLE 156. QATAR AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY METHOD, 2018-2030 (USD MILLION)
  • TABLE 157. QATAR AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 158. QATAR AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 159. RUSSIA AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY PICKING TYPE, 2018-2030 (USD MILLION)
  • TABLE 160. RUSSIA AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY METHOD, 2018-2030 (USD MILLION)
  • TABLE 161. RUSSIA AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 162. RUSSIA AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 163. SAUDI ARABIA AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY PICKING TYPE, 2018-2030 (USD MILLION)
  • TABLE 164. SAUDI ARABIA AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY METHOD, 2018-2030 (USD MILLION)
  • TABLE 165. SAUDI ARABIA AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 166. SAUDI ARABIA AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 167. SOUTH AFRICA AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY PICKING TYPE, 2018-2030 (USD MILLION)
  • TABLE 168. SOUTH AFRICA AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY METHOD, 2018-2030 (USD MILLION)
  • TABLE 169. SOUTH AFRICA AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 170. SOUTH AFRICA AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 171. SPAIN AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY PICKING TYPE, 2018-2030 (USD MILLION)
  • TABLE 172. SPAIN AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY METHOD, 2018-2030 (USD MILLION)
  • TABLE 173. SPAIN AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 174. SPAIN AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 175. SWEDEN AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY PICKING TYPE, 2018-2030 (USD MILLION)
  • TABLE 176. SWEDEN AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY METHOD, 2018-2030 (USD MILLION)
  • TABLE 177. SWEDEN AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 178. SWEDEN AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 179. SWITZERLAND AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY PICKING TYPE, 2018-2030 (USD MILLION)
  • TABLE 180. SWITZERLAND AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY METHOD, 2018-2030 (USD MILLION)
  • TABLE 181. SWITZERLAND AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 182. SWITZERLAND AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 183. TURKEY AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY PICKING TYPE, 2018-2030 (USD MILLION)
  • TABLE 184. TURKEY AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY METHOD, 2018-2030 (USD MILLION)
  • TABLE 185. TURKEY AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 186. TURKEY AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 187. UNITED ARAB EMIRATES AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY PICKING TYPE, 2018-2030 (USD MILLION)
  • TABLE 188. UNITED ARAB EMIRATES AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY METHOD, 2018-2030 (USD MILLION)
  • TABLE 189. UNITED ARAB EMIRATES AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 190. UNITED ARAB EMIRATES AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 191. UNITED KINGDOM AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY PICKING TYPE, 2018-2030 (USD MILLION)
  • TABLE 192. UNITED KINGDOM AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY METHOD, 2018-2030 (USD MILLION)
  • TABLE 193. UNITED KINGDOM AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 194. UNITED KINGDOM AUTOMATED WAREHOUSE PICKING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 195. AUTOMATED WAREHOUSE PICKING MARKET SHARE, BY KEY PLAYER, 2023
  • TABLE 196. AUTOMATED WAREHOUSE PICKING MARKET, FPNV POSITIONING MATRIX, 2023