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Automated Order Picking Market by Order Picking Type, Application - Global Forecast 2025-2030

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    Report

  • 197 Pages
  • October 2024
  • Region: Global
  • 360iResearch™
  • ID: 5665729
UP TO OFF until Dec 31st 2024
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The Automated Order Picking Market grew from USD 8.90 billion in 2023 to USD 9.91 billion in 2024. It is expected to continue growing at a CAGR of 11.74%, reaching USD 19.37 billion by 2030.

Automated Order Picking (AOP) is an advanced method integrating robotics and software systems to streamline and enhance the efficiency, speed, and accuracy of order fulfillment processes within supply chain logistics. Its necessity arises from the burgeoning e-commerce sector, which demands rapid deliveries to maintain competitiveness, reduce human error, and manage labor costs. AOP systems find applications in various sectors, including retail, manufacturing, and grocery, primarily in large warehouse and distribution center settings. They hold potential for significant reduction in operational time and labor dependency. The market for AOP systems is primarily driven by factors such as the increasing embrace of automation technologies, rising demand for optimized warehouse operations, and evolving consumer expectations for faster delivery times.

Opportunities in this market are abundant, particularly with advancements in AI, machine learning, and IoT, which are fostering new, more adaptive, and smarter picking systems integrated with predictive analytics capabilities. These technologies can further optimize AOP by improving route planning and error reduction. The trend towards omnichannel retailing presents significant growth potential as businesses look for cohesive solutions to handle multi-channel orders efficiently. However, the market also faces considerable challenges such as high initial capital investment, a need for skilled personnel to operate and maintain these systems, and integration complexities with existing logistics frameworks.

To overcome these limitations and seize emerging opportunities, businesses should invest in R&D to develop cost-effective, easily adaptable systems with enhanced interoperability. Areas ripe for innovation include improving robot-human interactions in warehouse settings and developing versatile systems that can pick a wide range of products without specialized tooling. The market is dynamic, with increasing collaborations and partnerships aimed at integrating different technological innovations. Furthermore, small to medium-sized enterprises (SMEs) represent a largely untapped segment, offering avenues for growth as more accessible and scalable solutions emerge. Companies should explore modular systems or lease models to reduce entry barriers for these smaller players, thereby expanding their market reach.

Understanding Market Dynamics in the Automated Order Picking Market

The Automated Order Picking Market is rapidly evolving, shaped by dynamic supply and demand trends. These insights provide companies with actionable intelligence to drive investments, develop strategies, and seize emerging opportunities. A comprehensive understanding of market dynamics also helps organizations mitigate political, geographical, technical, social, and economic risks while offering a clearer view of consumer behavior and its effects on manufacturing costs and purchasing decisions.
  • 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

Exploring Porter’s Five Forces for the Automated Order Picking Market

Porter’s Five Forces framework further strengthens the insights of the Automated Order Picking Market, delivering a clear and effective methodology for understanding the competitive landscape. This tool enables companies to evaluate their current competitive standing and explore strategic repositioning by assessing businesses’ power dynamics and market positioning. It is also instrumental in determining the profitability of new ventures, helping companies leverage their strengths, address weaknesses, and avoid potential pitfalls.

Applying PESTLE Analysis to the Automated Order Picking Market

External macro-environmental factors deeply influence the performance of the Automated Order Picking Market, and the PESTLE analysis provides a comprehensive framework for understanding these influences. By examining Political, Economic, Social, Technological, Legal, and Environmental elements, this analysis offers organizations critical insights into potential opportunities and risks. It also helps businesses anticipate changes in regulations, consumer behavior, and economic trends, enabling them to make informed, forward-looking decisions.

Analyzing Market Share in the Automated Order Picking Market

The Automated Order Picking Market share analysis evaluates vendor performance. This analysis provides a clear view of each vendor’s standing in the competitive landscape by comparing key metrics such as revenue, customer base, and other critical factors. Additionally, it highlights market concentration, fragmentation, and trends in consolidation, empowering vendors to make strategic decisions that enhance their market position.

Evaluating Vendor Success with the FPNV Positioning Matrix in the Automated Order Picking Market

The Automated Order Picking Market FPNV Positioning Matrix is crucial in evaluating vendors based on business strategy and product satisfaction levels. By segmenting vendors into four quadrants - Forefront (F), Pathfinder (P), Niche (N), and Vital (V) - this matrix helps users make well-informed decisions that best align with their unique needs and objectives in the market.

Strategic Recommendations for Success in the Automated Order Picking Market

The Automated Order Picking Market strategic analysis is essential for organizations aiming to strengthen their position in the global market. A comprehensive review of resources, capabilities, and performance helps businesses identify opportunities for improvement and growth. This approach empowers companies to navigate challenges in the increasingly competitive landscape, ensuring they capitalize on new opportunities and align with 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.à 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:
  • Order Picking Type
    • Cluster Picking
    • Discrete Picking
    • Multi-Order or Batch Picking
    • Wave Picking
    • Zone Picking
  • Application
    • Construction
    • Healthcare
    • Manufacturing
    • Retail
    • Transportation & Logistics
  • Region
    • Americas
      • Argentina
      • Brazil
      • Canada
      • Mexico
      • United States
        • California
        • Florida
        • Illinois
        • New York
        • Ohio
        • Pennsylvania
        • Texas
    • Asia-Pacific
      • Australia
      • China
      • India
      • Indonesia
      • Japan
      • Malaysia
      • Philippines
      • Singapore
      • South Korea
      • Taiwan
      • Thailand
      • Vietnam
    • Europe, Middle East & Africa
      • Denmark
      • Egypt
      • Finland
      • France
      • Germany
      • Israel
      • Italy
      • Netherlands
      • Nigeria
      • Norway
      • Poland
      • Qatar
      • Russia
      • Saudi Arabia
      • South Africa
      • Spain
      • Sweden
      • Switzerland
      • Turkey
      • United Arab Emirates
      • United Kingdom

The report provides a detailed overview of the market, exploring several key areas:

  1. Market Penetration: A thorough examination of the current market landscape, featuring comprehensive data from leading industry players and analyzing their reach and influence across the market.
  2. Market Development: The report identifies significant growth opportunities in emerging markets and assesses expansion potential within established segments, providing a roadmap for future development.
  3. Market Diversification: In-depth coverage of recent product launches, untapped geographic regions, significant industry developments, and strategic investments reshaping the market landscape.
  4. Competitive Assessment & Intelligence: A detailed analysis of the competitive landscape, covering market share, business strategies, product portfolios, certifications, regulatory approvals, patent trends, technological advancements, and innovations in manufacturing by key market players.
  5. Product Development & Innovation: Insight into groundbreaking technologies, R&D efforts, and product innovations that will drive the market in future.

Additionally, the report addresses key questions to assist stakeholders in making informed decisions:

  1. What is the current size of the market, and how is it expected to grow?
  2. Which products, segments, and regions present the most attractive investment opportunities?
  3. What are the prevailing technology trends and regulatory factors influencing the market?
  4. How do top vendors rank regarding market share and competitive positioning?
  5. What revenue sources and strategic opportunities guide vendors' market entry or exit decisions?

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
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

Companies Mentioned

The leading players in the Automated Order Picking market, which are profiled in this report, include:
  • Aeologic Technologies
  • Barcodes, Inc.
  • Breathe Technologies Ltd.
  • Dematic Holding S.à 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.
  • Yaskawa America, Inc.

Methodology

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Table Information