세계의 자동 창고 피킹 시장 : 피킹 유형, 방법, 전개, 용도별 예측(2025-2030년)

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 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.