封面
市场调查报告书
商品编码
1604776

自动拣货市场:依拣货类型、应用程式划分 - 2025-2030 年全球预测

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个工作天内

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2023年自动拣货市场规模预计为89亿美元,预计2024年将达到99.1亿美元,复合年增长率为11.74%,到2030年将达到193.7亿美元。

自动拣货(AOP) 技术是现代供应链营运的重要组成部分,旨在提高订单履行流程的速度、准确性和效率。这些系统结合了机器人技术、机器学习和人工智慧,可在仓库内自动选择和搜寻产品,从而显着降低人事费用和订单处理时间。电子商务的快速成长推动了对 AOP 的需求,电子商务需要高处理速度才能满足客户的期望。特别是,采用机械臂、自动导引运输车(AGV) 和自主移动机器人 (AMR) 等技术的应用涵盖零售、物流、消费品和汽车领域。关键的成长要素包括对加急配送服务的需求激增、机器人技术的进步以及向全通路零售策略的持续转变。因此,在为中小型企业开发可扩展的解决方案以及整合物联网 (IoT) 感测器以提高营运透明度方面存在潜在机会。然而,高昂的初始实施成本、整合的复杂性和网路安全威胁等限制因素给广泛采用带来了挑战。创新领域包括开发具有成本效益的模组化系统、增强用于即时决策的机器学习演算法以及改进与人类一起工作的协作机器人的设计。自动化系统节能电源的探索以及预测分析人工智慧的进步也可能推动成长。 AOP市场的特点是技术进步快、竞争压力大,这使其成为创新的沃土,但也充满挑战,因为它需要大量的研发投资。透过专注于与高科技公司合作,利用尖端解决方案并寻求满足特定客户需求的客自订服务,公司可以在这个充满活力的环境中保持竞争力。

主要市场统计
基准年[2023] 89亿美元
预计年份 [2024] 99.1亿美元
预测年份 [2030] 193.7亿美元
复合年增长率(%) 11.74%

市场动态:揭示快速发展的自动拣货市场的关键市场洞察

自动拣货市场正因供需的动态交互作用而转变。透过了解这些不断变化的市场动态,公司可以准备好做出明智的投资决策、完善策略决策并抓住新的商机。全面了解这些趋势可以帮助企业降低政治、地理、技术、社会和经济领域的风险,同时也能帮助企业了解消费行为及其对製造业的影响。

  • 市场驱动因素
    • 电子商务领域显着扩张
    • 增加招募以提高生产力并减少人为错误
    • 中小企业采用自动拣选机器人
  • 市场限制因素
    • 自动化程序成本高
  • 市场机会
    • 政府致力于工业领域自动化
    • 自动拣货解决方案的进步
  • 市场问题
    • 缺乏熟练的专业人员和复杂的处理程序

波特五力:驾驭自动拣货市场的策略工具

波特的五力框架是了解自动拣货市场竞争格局的关键工具。波特的五力框架描述了评估公司竞争和探索策略机会的清晰方法。该框架可帮助公司评估市场动态并确定新业务的盈利。这些见解使公司能够利用自己的优势,解决弱点,避免潜在的挑战,确保更强大的市场地位。

PESTLE分析:了解自动拣货市场的外部影响

外部宏观环境因素在塑造自动拣货市场的绩效动态发挥着至关重要的作用。对政治、经济、社会、技术、法律和环境因素的分析提供了应对这些影响所需的资讯。透过调查 PESTLE 因素,公司可以更了解潜在的风险和机会。这种分析可以帮助公司预测法规、消费者偏好和经济趋势的变化,并为他们做出积极主动的决策做好准备。

市场占有率分析:了解自动拣货市场的竞争格局

自动拣货市场的详细市场占有率分析可以对供应商绩效进行全面评估。公司可以透过比较收益、客户群和成长率等关键指标来揭示其竞争地位。该分析揭示了市场集中、细分和整合的趋势,为供应商提供了製定策略决策所需的洞察力,使他们能够在日益激烈的竞争中占有一席之地。

FPNV定位矩阵:自动拣货市场供应商绩效评估

FPNV 定位矩阵是评估自动拣货市场供应商的重要工具。此矩阵允许业务组织根据供应商的商务策略和产品满意度评估供应商,从而做出符合其目标的明智决策。这四个象限使您能够清晰、准确地划分供应商,并确定最能满足您的策略目标的合作伙伴和解决方案。

策略分析与建议:绘製自动拣货市场的成功之路

自动拣货市场的策略分析对于旨在加强其在全球市场的影响力的公司至关重要。透过审查关键资源、能力和绩效指标,公司可以识别成长机会并努力改进。这种方法使您能够克服竞争环境中的挑战,利用新的商机并取得长期成功。

该报告对涵盖关键焦点细分市场的市场进行了全面分析。

1. 市场渗透率:详细检视当前市场环境,主要企业的广泛资料,评估其在市场中的影响力和整体影响力。

2. 市场开拓:辨识新兴市场的成长机会,评估现有细分市场的扩张潜力,并提供未来成长的策略蓝图。

3. 市场多元化:分析近期产品发布、开拓地区、关键产业进展、塑造市场的策略投资。

4. 竞争评估与情报:彻底分析竞争格局,检验市场占有率、业务策略、产品系列、认证、监理核准、专利趋势、主要企业的技术进步等。

5.产品开发与创新:重点关注可望推动未来市场成长的最尖端科技、研发活动和产品创新。

我们也回答重要问题,以帮助相关人员做出明智的决策。

1.目前的市场规模和未来的成长预测是多少?

2. 哪些产品和地区提供最佳投资机会?

3.塑造市场的关键技术趋势和监管影响是什么?

4.主要厂商的市场占有率和竞争地位如何?

5. 推动供应商市场进入和退出策略的收益来源和策略机会是什么?

目录

第一章 前言

第二章调查方法

第三章执行摘要

第四章市场概况

第五章市场洞察

  • 市场动态
    • 促进因素
      • 电子商务领域显着扩张
      • 扩大实施范围以提高生产力并减少人为错误
      • 中小企业自动拣货机器人的引进
    • 抑制因素
      • 自动化程序高成本
    • 机会
      • 政府针对工业领域自动化的倡议
      • 自动拣货解决方案的进步
    • 任务
      • 缺乏熟练的专业人员和复杂的处理程序
  • 市场区隔分析
  • 波特五力分析
  • PESTEL分析
    • 政治
    • 经济
    • 社会
    • 科技
    • 法律
    • 环境

第六章 自动拣货市场:拣货类型

  • 介绍
  • 丛集采摘
  • 个人采摘
  • 多个订单或批次拣货
  • 波浪式拣货
  • 分区拣货

第七章 自动拣货市场:依应用分类

  • 介绍
  • 建造
  • 医疗保健
  • 製造业
  • 零售
  • 运输/物流

第八章美洲自动拣货市场

  • 介绍
  • 阿根廷
  • 巴西
  • 加拿大
  • 墨西哥
  • 美国

第九章亚太自动拣货市场

  • 介绍
  • 澳洲
  • 中国
  • 印度
  • 印尼
  • 日本
  • 马来西亚
  • 菲律宾
  • 新加坡
  • 韩国
  • 台湾
  • 泰国
  • 越南

第十章 欧洲、中东和非洲自动化拣货市场

  • 介绍
  • 丹麦
  • 埃及
  • 芬兰
  • 法国
  • 德国
  • 以色列
  • 义大利
  • 荷兰
  • 奈及利亚
  • 挪威
  • 波兰
  • 卡达
  • 俄罗斯
  • 沙乌地阿拉伯
  • 南非
  • 西班牙
  • 瑞典
  • 瑞士
  • 土耳其
  • 阿拉伯聯合大公国
  • 英国

第十一章竞争格局

  • 2023 年市场占有率分析
  • FPNV 定位矩阵,2023
  • 竞争场景分析
  • 战略分析和建议

公司名单

  • 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