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1604776

自動揀貨市場：依揀貨類型、應用程式分類 - 2025-2030 年全球預測

Automated Order Picking Market by Order Picking Type (Cluster Picking, Discrete Picking, Multi-Order or Batch Picking), Application (Construction, Healthcare, Manufacturing) - Global Forecast 2025-2030
出版日期: | 出版商: 360iResearch | 英文 185 Pages | 商品交期: 最快1-2個工作天內

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2023年自動揀貨市場規模預計為89億美元，預計2024年將達到99.1億美元，複合年成長率為11.74%，到2030年將達到193.7億美元。

自動揀貨(AOP) 技術是現代供應鏈營運的重要組成部分，旨在提高訂單履行流程的速度、準確性和效率。這些系統結合了機器人技術、機器學習和人工智慧，可在倉庫內自動選擇和搜尋產品，從而顯著降低人事費用和訂單處理時間。電子商務的快速成長推動了對 AOP 的需求，電子商務需要高處理速度才能滿足客戶的期望。特別是，採用機械臂、自動導引運輸車(AGV) 和自主移動機器人 (AMR) 等技術的應用涵蓋零售、物流、消費品和汽車領域。關鍵的成長要素包括對加急配送服務的需求激增、機器人技術的進步以及向全通路零售策略的持續轉變。因此，在為中小型企業開發可擴展的解決方案以及整合物聯網 (IoT) 感測器以提高營運透明度方面存在潛在機會。然而，高昂的初始實施成本、整合的複雜性和網路安全威脅等限制因素給廣泛採用帶來了挑戰。創新領域包括開發具有成本效益的模組化系統、增強用於即時決策的機器學習演算法以及改進與人類一起工作的協作機器人的設計。自動化系統節能電源的探索以及預測分析人工智慧的進步也可能推動成長。 AOP市場的特點是技術進步快、競爭壓力大，這使其成為創新的沃土，但也充滿挑戰，因為它需要大量的研發投資。透過專注於與高科技公司合作，利用尖端解決方案並尋求滿足特定客戶需求的客自訂服務，公司可以在這個充滿活力的環境中保持競爭力。

主要市場統計
基準年[2023] 89億美元
預計年份 [2024] 99.1億美元
預測年份 [2030] 193.7億美元
複合年成長率（%） 11.74%

市場動態：揭示快速發展的自動揀貨市場的關鍵市場洞察

自動揀貨市場正因供需的動態交互作用而轉變。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，同時也能幫助企業了解消費行為及其對製造業的影響。

  • 市場促進因素
    • 電子商務領域顯著擴張
    • 增加招募以提高生產力並減少人為錯誤
    • 中小企業採用自動揀選機器人
  • 市場限制因素
    • 自動化程序成本高
  • 市場機會
    • 政府致力於工業領域自動化
    • 自動揀貨解決方案的進步
  • 市場問題
    • 缺乏熟練的專業人員和複雜的處理程序

波特五力：駕馭自動揀貨市場的策略工具

波特的五力框架是了解自動揀貨市場競爭格局的關鍵工具。波特的五力框架描述了評估公司競爭和探索策略機會的清晰方法。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，避免潛在的挑戰，確保更強大的市場地位。

PESTLE分析：了解自動揀貨市場的外部影響

外部宏觀環境因素在塑造自動揀貨市場的績效動態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。這種分析可以幫助公司預測法規、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：了解自動揀貨市場的競爭格局

自動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、細分和整合的趨勢，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：自動揀貨市場供應商績效評估

FPNV 定位矩陣是評估自動揀貨市場供應商的重要工具。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。

策略分析與建議：繪製自動揀貨市場的成功之路

自動揀貨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。

該報告對涵蓋關鍵焦點細分市場的市場進行了全面分析。

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，評估現有細分市場的擴張潛力，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、監理核准、專利趨勢、主要企業的技術進步等。

5.產品開發與創新：重點關注可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. 哪些產品和地區提供最佳投資機會？

3.塑造市場的關鍵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
      • 電子商務領域顯著擴張
      • 擴大實施範圍以提高生產力並減少人為錯誤
      • 中小企業自動揀貨機器人的引進
    • 抑制因素
      • 自動化程序高成本
    • 機會
      • 政府針對工業領域自動化的舉措
      • 自動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
    • 經濟
    • 社會
    • 科技
    • 法律
    • 環境

第6章 自動揀貨市場：揀貨類型

  • 介紹
  • 叢集採摘
  • 個人採摘
  • 多個訂單或批次揀貨
  • 波浪式揀貨
  • 分區揀貨

第7章 自動揀貨市場：依應用分類

  • 介紹
  • 建造
  • 醫療保健
  • 製造業
  • 零售
  • 運輸/物流

第8章美洲自動揀貨市場

  • 介紹
  • 阿根廷
  • 巴西
  • 加拿大
  • 墨西哥
  • 美國

第9章亞太自動揀貨市場

  • 介紹
  • 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10章 歐洲、中東和非洲自動化揀貨市場

  • 介紹
  • 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11章競爭格局

  • 2023 年市場佔有率分析
  • FPNV 定位矩陣，2023
  • 競爭場景分析
  • 戰略分析和建議

公司名單

  • Aeologic Technologies
  • Barcodes, Inc.
  • Breathe Technologies Ltd.
  • Dematic Holding Sa rl
  • Falcon Autotech
  • FANUC CORPORATION
  • Honeywell International Inc.
  • Hopstack, Inc.
  • Kardex Holding AG
  • Kawasaki Heavy Industries, Ltd.
  • Keymas Limited
  • KNAPP AG
  • KUKA AG
  • Mara Labs Inc.
  • Mecalux, SA
  • MMCI Automation
  • Ocado Group
  • Plus One Robotics Inc.
  • QC Software, LLC
  • Righthand Robotics Inc.
  • SSI Schaefer Systems Int. Ltd.
  • Toyota Industries Corporation
  • Universal Robots A/S by Teradyne, Inc.
  • Vecna Robotics, Inc.
  • XYZ Robotics Inc.
  • Yaskawa America, Inc.
Product Code: MRR-2D64BA93A3B7

The Automated Order Picking Market was valued at USD 8.90 billion in 2023, expected to reach USD 9.91 billion in 2024, and is projected to grow at a CAGR of 11.74%, to USD 19.37 billion by 2030.

Automated Order Picking (AOP) technologies are essential components of modern supply chain operations, aimed at enhancing speed, accuracy, and efficiency in order fulfillment processes. These systems incorporate robotics, machine learning, and artificial intelligence to automate the selection and retrieval of products within warehouses, significantly reducing labor costs and order processing times. The necessity for AOP is driven by the rapid growth of e-commerce, which demands high-speed processing to meet customer expectations. In particular, applications span across retail, logistics, consumer goods, and automotive sectors, employing technologies like robotic arms, automated guided vehicles (AGVs), and autonomous mobile robots (AMRs). Key growth influencers include the burgeoning demand for swift delivery services, technological progressions in robotics, and the continuing shift towards omnichannel retail strategies. As a result, there are potential opportunities in developing scalable solutions for small and medium enterprises and integrating Internet of Things (IoT) sensors for enhanced operational transparency. However, limitations such as high initial implementation costs, integration complexities, and cybersecurity threats pose challenges to widespread adoption. Innovation areas include developing cost-effective modular systems, enhancing machine learning algorithms for real-time decision-making, and improving collaborative robot designs to work alongside humans. Research into energy-efficient power supplies for automated systems and advancements in AI for predictive analytics could also catalyze growth. The AOP market is characterized by rapid technological advancements and competitive pressures, making it a fertile ground for innovations but also challenging due to the need for significant investments in R&D. Enterprises should focus on alliances with tech firms to leverage cutting-edge solutions and explore custom integration services to address specific client needs, ensuring they remain competitive in this dynamic landscape.

KEY MARKET STATISTICS
Base Year [2023] USD 8.90 billion
Estimated Year [2024] USD 9.91 billion
Forecast Year [2030] USD 19.37 billion
CAGR (%) 11.74%

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

The Automated Order 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
    • Increasing adoption to improve productivity and reduce human errors
    • Adoption of automated picking robots by small and medium-sized enterprises
  • Market Restraints
    • High cost of automation procedures
  • Market Opportunities
    • Governmental initiatives for automation of industrial sectors
    • Advancements in automated order picking solutions
  • Market Challenges
    • Scarcity of skilled professional and complex handling procedures

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

Porter's five forces framework is a critical tool for understanding the competitive landscape of the Automated Order 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 Order Picking Market

External macro-environmental factors play a pivotal role in shaping the performance dynamics of the Automated Order 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 Order Picking Market

A detailed market share analysis in the Automated Order 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 Order Picking Market

The Forefront, Pathfinder, Niche, Vital (FPNV) Positioning Matrix is a critical tool for evaluating vendors within the Automated Order 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 Order Picking Market

A strategic analysis of the Automated Order 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 Order Picking Market, highlighting leading vendors and their innovative profiles. These include Aeologic Technologies, Barcodes, Inc., Breathe Technologies Ltd., Dematic Holding S.a r.l., Falcon Autotech, FANUC CORPORATION, Honeywell International Inc., Hopstack, Inc., Kardex Holding AG, Kawasaki Heavy Industries, Ltd., Keymas Limited, KNAPP AG, KUKA AG, Mara Labs Inc., Mecalux, S.A., MMCI Automation, Ocado Group, Plus One Robotics Inc., QC Software, LLC, Righthand Robotics Inc., SSI Schaefer Systems Int. Ltd., Toyota Industries Corporation, Universal Robots A/S by Teradyne, Inc., Vecna Robotics, Inc., XYZ Robotics Inc., and Yaskawa America, Inc..

Market Segmentation & Coverage

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

  • Based on Order Picking Type, market is studied across Cluster Picking, Discrete Picking, Multi-Order or Batch Picking, Wave Picking, and Zone Picking.
  • Based on Application, market is studied across Construction, 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
      • 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 enterprises
    • 5.1.2. Restraints
      • 5.1.2.1. High cost of automation procedures
    • 5.1.3. Opportunities
      • 5.1.3.1. Governmental initiatives for automation of industrial sectors
      • 5.1.3.2. Advancements in automated order 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 Order Picking Market, by Order Picking Type

  • 6.1. Introduction
  • 6.2. Cluster Picking
  • 6.3. Discrete Picking
  • 6.4. Multi-Order or Batch Picking
  • 6.5. Wave Picking
  • 6.6. Zone Picking

7. Automated Order Picking Market, by Application

  • 7.1. Introduction
  • 7.2. Construction
  • 7.3. Healthcare
  • 7.4. Manufacturing
  • 7.5. Retail
  • 7.6. Transportation & Logistics

8. Americas Automated Order Picking Market

  • 8.1. Introduction
  • 8.2. Argentina
  • 8.3. Brazil
  • 8.4. Canada
  • 8.5. Mexico
  • 8.6. United States

9. Asia-Pacific Automated Order Picking Market

  • 9.1. Introduction
  • 9.2. Australia
  • 9.3. China
  • 9.4. India
  • 9.5. Indonesia
  • 9.6. Japan
  • 9.7. Malaysia
  • 9.8. Philippines
  • 9.9. Singapore
  • 9.10. South Korea
  • 9.11. Taiwan
  • 9.12. Thailand
  • 9.13. Vietnam

10. Europe, Middle East & Africa Automated Order Picking Market

  • 10.1. Introduction
  • 10.2. Denmark
  • 10.3. Egypt
  • 10.4. Finland
  • 10.5. France
  • 10.6. Germany
  • 10.7. Israel
  • 10.8. Italy
  • 10.9. Netherlands
  • 10.10. Nigeria
  • 10.11. Norway
  • 10.12. Poland
  • 10.13. Qatar
  • 10.14. Russia
  • 10.15. Saudi Arabia
  • 10.16. South Africa
  • 10.17. Spain
  • 10.18. Sweden
  • 10.19. Switzerland
  • 10.20. Turkey
  • 10.21. United Arab Emirates
  • 10.22. United Kingdom

11. Competitive Landscape

  • 11.1. Market Share Analysis, 2023
  • 11.2. FPNV Positioning Matrix, 2023
  • 11.3. Competitive Scenario Analysis
  • 11.4. Strategy Analysis & Recommendation

Companies Mentioned

  • 1. Aeologic Technologies
  • 2. Barcodes, Inc.
  • 3. Breathe Technologies Ltd.
  • 4. Dematic Holding S.a r.l.
  • 5. Falcon Autotech
  • 6. FANUC CORPORATION
  • 7. Honeywell International Inc.
  • 8. Hopstack, Inc.
  • 9. Kardex Holding AG
  • 10. Kawasaki Heavy Industries, Ltd.
  • 11. Keymas Limited
  • 12. KNAPP AG
  • 13. KUKA AG
  • 14. Mara Labs Inc.
  • 15. Mecalux, S.A.
  • 16. MMCI Automation
  • 17. Ocado Group
  • 18. Plus One Robotics Inc.
  • 19. QC Software, LLC
  • 20. Righthand Robotics Inc.
  • 21. SSI Schaefer Systems Int. Ltd.
  • 22. Toyota Industries Corporation
  • 23. Universal Robots A/S by Teradyne, Inc.
  • 24. Vecna Robotics, Inc.
  • 25. XYZ Robotics Inc.
  • 26. Yaskawa America, Inc.

LIST OF FIGURES

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

LIST OF TABLES

  • TABLE 1. AUTOMATED ORDER PICKING MARKET SEGMENTATION & COVERAGE
  • TABLE 2. UNITED STATES DOLLAR EXCHANGE RATE, 2018-2023
  • TABLE 3. GLOBAL AUTOMATED ORDER PICKING MARKET SIZE, 2018-2030 (USD MILLION)
  • TABLE 4. GLOBAL AUTOMATED ORDER PICKING MARKET SIZE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 5. GLOBAL AUTOMATED ORDER PICKING MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
  • TABLE 6. AUTOMATED ORDER PICKING MARKET DYNAMICS
  • TABLE 7. GLOBAL AUTOMATED ORDER PICKING MARKET SIZE, BY ORDER PICKING TYPE, 2018-2030 (USD MILLION)
  • TABLE 8. GLOBAL AUTOMATED ORDER PICKING MARKET SIZE, BY CLUSTER PICKING, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 9. GLOBAL AUTOMATED ORDER PICKING MARKET SIZE, BY DISCRETE PICKING, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 10. GLOBAL AUTOMATED ORDER PICKING MARKET SIZE, BY MULTI-ORDER OR BATCH PICKING, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 11. GLOBAL AUTOMATED ORDER PICKING MARKET SIZE, BY WAVE PICKING, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 12. GLOBAL AUTOMATED ORDER PICKING MARKET SIZE, BY ZONE PICKING, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 13. GLOBAL AUTOMATED ORDER PICKING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 14. GLOBAL AUTOMATED ORDER PICKING MARKET SIZE, BY CONSTRUCTION, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 15. GLOBAL AUTOMATED ORDER PICKING MARKET SIZE, BY HEALTHCARE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 16. GLOBAL AUTOMATED ORDER PICKING MARKET SIZE, BY MANUFACTURING, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 17. GLOBAL AUTOMATED ORDER PICKING MARKET SIZE, BY RETAIL, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 18. GLOBAL AUTOMATED ORDER PICKING MARKET SIZE, BY TRANSPORTATION & LOGISTICS, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 19. AMERICAS AUTOMATED ORDER PICKING MARKET SIZE, BY ORDER PICKING TYPE, 2018-2030 (USD MILLION)
  • TABLE 20. AMERICAS AUTOMATED ORDER PICKING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 21. AMERICAS AUTOMATED ORDER PICKING MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
  • TABLE 22. ARGENTINA AUTOMATED ORDER PICKING MARKET SIZE, BY ORDER PICKING TYPE, 2018-2030 (USD MILLION)
  • TABLE 23. ARGENTINA AUTOMATED ORDER PICKING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 24. BRAZIL AUTOMATED ORDER PICKING MARKET SIZE, BY ORDER PICKING TYPE, 2018-2030 (USD MILLION)
  • TABLE 25. BRAZIL AUTOMATED ORDER PICKING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 26. CANADA AUTOMATED ORDER PICKING MARKET SIZE, BY ORDER PICKING TYPE, 2018-2030 (USD MILLION)
  • TABLE 27. CANADA AUTOMATED ORDER PICKING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 28. MEXICO AUTOMATED ORDER PICKING MARKET SIZE, BY ORDER PICKING TYPE, 2018-2030 (USD MILLION)
  • TABLE 29. MEXICO AUTOMATED ORDER PICKING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 30. UNITED STATES AUTOMATED ORDER PICKING MARKET SIZE, BY ORDER PICKING TYPE, 2018-2030 (USD MILLION)
  • TABLE 31. UNITED STATES AUTOMATED ORDER PICKING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 32. UNITED STATES AUTOMATED ORDER PICKING MARKET SIZE, BY STATE, 2018-2030 (USD MILLION)
  • TABLE 33. ASIA-PACIFIC AUTOMATED ORDER PICKING MARKET SIZE, BY ORDER PICKING TYPE, 2018-2030 (USD MILLION)
  • TABLE 34. ASIA-PACIFIC AUTOMATED ORDER PICKING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 35. ASIA-PACIFIC AUTOMATED ORDER PICKING MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
  • TABLE 36. AUSTRALIA AUTOMATED ORDER PICKING MARKET SIZE, BY ORDER PICKING TYPE, 2018-2030 (USD MILLION)
  • TABLE 37. AUSTRALIA AUTOMATED ORDER PICKING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 38. CHINA AUTOMATED ORDER PICKING MARKET SIZE, BY ORDER PICKING TYPE, 2018-2030 (USD MILLION)
  • TABLE 39. CHINA AUTOMATED ORDER PICKING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 40. INDIA AUTOMATED ORDER PICKING MARKET SIZE, BY ORDER PICKING TYPE, 2018-2030 (USD MILLION)
  • TABLE 41. INDIA AUTOMATED ORDER PICKING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 42. INDONESIA AUTOMATED ORDER PICKING MARKET SIZE, BY ORDER PICKING TYPE, 2018-2030 (USD MILLION)
  • TABLE 43. INDONESIA AUTOMATED ORDER PICKING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 44. JAPAN AUTOMATED ORDER PICKING MARKET SIZE, BY ORDER PICKING TYPE, 2018-2030 (USD MILLION)
  • TABLE 45. JAPAN AUTOMATED ORDER PICKING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 46. MALAYSIA AUTOMATED ORDER PICKING MARKET SIZE, BY ORDER PICKING TYPE, 2018-2030 (USD MILLION)
  • TABLE 47. MALAYSIA AUTOMATED ORDER PICKING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 48. PHILIPPINES AUTOMATED ORDER PICKING MARKET SIZE, BY ORDER PICKING TYPE, 2018-2030 (USD MILLION)
  • TABLE 49. PHILIPPINES AUTOMATED ORDER PICKING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 50. SINGAPORE AUTOMATED ORDER PICKING MARKET SIZE, BY ORDER PICKING TYPE, 2018-2030 (USD MILLION)
  • TABLE 51. SINGAPORE AUTOMATED ORDER PICKING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 52. SOUTH KOREA AUTOMATED ORDER PICKING MARKET SIZE, BY ORDER PICKING TYPE, 2018-2030 (USD MILLION)
  • TABLE 53. SOUTH KOREA AUTOMATED ORDER PICKING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 54. TAIWAN AUTOMATED ORDER PICKING MARKET SIZE, BY ORDER PICKING TYPE, 2018-2030 (USD MILLION)
  • TABLE 55. TAIWAN AUTOMATED ORDER PICKING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 56. THAILAND AUTOMATED ORDER PICKING MARKET SIZE, BY ORDER PICKING TYPE, 2018-2030 (USD MILLION)
  • TABLE 57. THAILAND AUTOMATED ORDER PICKING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 58. VIETNAM AUTOMATED ORDER PICKING MARKET SIZE, BY ORDER PICKING TYPE, 2018-2030 (USD MILLION)
  • TABLE 59. VIETNAM AUTOMATED ORDER PICKING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 60. EUROPE, MIDDLE EAST & AFRICA AUTOMATED ORDER PICKING MARKET SIZE, BY ORDER PICKING TYPE, 2018-2030 (USD MILLION)
  • TABLE 61. EUROPE, MIDDLE EAST & AFRICA AUTOMATED ORDER PICKING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 62. EUROPE, MIDDLE EAST & AFRICA AUTOMATED ORDER PICKING MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
  • TABLE 63. DENMARK AUTOMATED ORDER PICKING MARKET SIZE, BY ORDER PICKING TYPE, 2018-2030 (USD MILLION)
  • TABLE 64. DENMARK AUTOMATED ORDER PICKING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 65. EGYPT AUTOMATED ORDER PICKING MARKET SIZE, BY ORDER PICKING TYPE, 2018-2030 (USD MILLION)
  • TABLE 66. EGYPT AUTOMATED ORDER PICKING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 67. FINLAND AUTOMATED ORDER PICKING MARKET SIZE, BY ORDER PICKING TYPE, 2018-2030 (USD MILLION)
  • TABLE 68. FINLAND AUTOMATED ORDER PICKING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 69. FRANCE AUTOMATED ORDER PICKING MARKET SIZE, BY ORDER PICKING TYPE, 2018-2030 (USD MILLION)
  • TABLE 70. FRANCE AUTOMATED ORDER PICKING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 71. GERMANY AUTOMATED ORDER PICKING MARKET SIZE, BY ORDER PICKING TYPE, 2018-2030 (USD MILLION)
  • TABLE 72. GERMANY AUTOMATED ORDER PICKING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 73. ISRAEL AUTOMATED ORDER PICKING MARKET SIZE, BY ORDER PICKING TYPE, 2018-2030 (USD MILLION)
  • TABLE 74. ISRAEL AUTOMATED ORDER PICKING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 75. ITALY AUTOMATED ORDER PICKING MARKET SIZE, BY ORDER PICKING TYPE, 2018-2030 (USD MILLION)
  • TABLE 76. ITALY AUTOMATED ORDER PICKING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 77. NETHERLANDS AUTOMATED ORDER PICKING MARKET SIZE, BY ORDER PICKING TYPE, 2018-2030 (USD MILLION)
  • TABLE 78. NETHERLANDS AUTOMATED ORDER PICKING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 79. NIGERIA AUTOMATED ORDER PICKING MARKET SIZE, BY ORDER PICKING TYPE, 2018-2030 (USD MILLION)
  • TABLE 80. NIGERIA AUTOMATED ORDER PICKING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 81. NORWAY AUTOMATED ORDER PICKING MARKET SIZE, BY ORDER PICKING TYPE, 2018-2030 (USD MILLION)
  • TABLE 82. NORWAY AUTOMATED ORDER PICKING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 83. POLAND AUTOMATED ORDER PICKING MARKET SIZE, BY ORDER PICKING TYPE, 2018-2030 (USD MILLION)
  • TABLE 84. POLAND AUTOMATED ORDER PICKING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 85. QATAR AUTOMATED ORDER PICKING MARKET SIZE, BY ORDER PICKING TYPE, 2018-2030 (USD MILLION)
  • TABLE 86. QATAR AUTOMATED ORDER PICKING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 87. RUSSIA AUTOMATED ORDER PICKING MARKET SIZE, BY ORDER PICKING TYPE, 2018-2030 (USD MILLION)
  • TABLE 88. RUSSIA AUTOMATED ORDER PICKING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 89. SAUDI ARABIA AUTOMATED ORDER PICKING MARKET SIZE, BY ORDER PICKING TYPE, 2018-2030 (USD MILLION)
  • TABLE 90. SAUDI ARABIA AUTOMATED ORDER PICKING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 91. SOUTH AFRICA AUTOMATED ORDER PICKING MARKET SIZE, BY ORDER PICKING TYPE, 2018-2030 (USD MILLION)
  • TABLE 92. SOUTH AFRICA AUTOMATED ORDER PICKING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 93. SPAIN AUTOMATED ORDER PICKING MARKET SIZE, BY ORDER PICKING TYPE, 2018-2030 (USD MILLION)
  • TABLE 94. SPAIN AUTOMATED ORDER PICKING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 95. SWEDEN AUTOMATED ORDER PICKING MARKET SIZE, BY ORDER PICKING TYPE, 2018-2030 (USD MILLION)
  • TABLE 96. SWEDEN AUTOMATED ORDER PICKING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 97. SWITZERLAND AUTOMATED ORDER PICKING MARKET SIZE, BY ORDER PICKING TYPE, 2018-2030 (USD MILLION)
  • TABLE 98. SWITZERLAND AUTOMATED ORDER PICKING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 99. TURKEY AUTOMATED ORDER PICKING MARKET SIZE, BY ORDER PICKING TYPE, 2018-2030 (USD MILLION)
  • TABLE 100. TURKEY AUTOMATED ORDER PICKING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 101. UNITED ARAB EMIRATES AUTOMATED ORDER PICKING MARKET SIZE, BY ORDER PICKING TYPE, 2018-2030 (USD MILLION)
  • TABLE 102. UNITED ARAB EMIRATES AUTOMATED ORDER PICKING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 103. UNITED KINGDOM AUTOMATED ORDER PICKING MARKET SIZE, BY ORDER PICKING TYPE, 2018-2030 (USD MILLION)
  • TABLE 104. UNITED KINGDOM AUTOMATED ORDER PICKING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 105. AUTOMATED ORDER PICKING MARKET SHARE, BY KEY PLAYER, 2023
  • TABLE 106. AUTOMATED ORDER PICKING MARKET, FPNV POSITIONING MATRIX, 2023