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세계의 창고 주문 피킹 시장 - 규모, 점유율, 동향 분석 보고서 : 전개별, 주문 피킹 방법별, 기술별, 최종 용도별, 지역별, 부문별 예측(2024-2030년)

Warehouse Order Picking Market Size, Share & Trends Analysis Report By Deployment, By Order Picking Method, By Technology (Conveyor Systems, Scanners), By End-use, By Region, And Segment Forecasts, 2024 - 2030
발행일: | 리서치사: Grand View Research | 페이지 정보: 영문 250 Pages | 배송안내 : 2-10일 (영업일 기준)

    
    
    




※ 본 상품은 영문 자료로 한글과 영문 목차에 불일치하는 내용이 있을 경우 영문을 우선합니다. 정확한 검토를 위해 영문 목차를 참고해주시기 바랍니다.

창고 주문 피킹 시장의 성장과 동향 :

세계 창고 주문 피킹 시장 규모는 2030년까지 187억 달러에 이를 것으로 예측됩니다. Grand View Research, Inc.의 최신 보고서에 따르면 2024-2030년 CAGR은 10.8%로 확대될 것으로 예측됩니다. 세계의 창고 주문 피킹 시장은 창고의 자동화 수요 증가, 전자상거래 산업의 급속한 개척, 응답 시간 단축 및 주문 처리의 생산성 향상에 대한 요구 등 다양한 요인에 의해 큰 성장을 이루고 있습니다.

창고 소유자 사이에서 주문 처리 시간을 단축하고 생산성을 향상시키기 위해 바코드 스캐닝, RFID, 음성 지시 피킹, 로봇 공학 등의 자동화 기술을 도입하는 것에 대한 기호가 높아지고 있습니다. 이러한 기술은 주문 처리를 간소화하고, 인간 오류를 줄이고, 운영 비용을 낮추고, 전반적인 생산성을 향상시킵니다. 예를 들어, RFID 기술은 SKU 수준의 재고 정확도를 높이고, 음성 피킹은 피킹 당 시간을 단축하고, 로봇 공학은 반복 작업을 처리할 수 있으며, 이 모든 것이 이러한 이점에 기여합니다. 또한 자동화 기술은 제품의 가용성과 정확성을 보장하여 고객 경험을 향상시킬 수 있습니다.

기업은 제조 및 보관 업무를 세계에 아웃소싱하고 복잡한 공급망 네트워크를 구축하고 있습니다. 자동화 된 주문 피킹 및 재고 관리 시스템을 통해 기업은 이러한 복잡한 세계 공급망을 효율적으로 관리하고 높은 정확성과 속도로 고객의 개별 요구를 충족시킬 수 있습니다. 현재 고객은 더 빠른 배송 시간을 요구하고 있으며, 창고는 주문을 신속하게 처리해야 할 필요가 있습니다. 대인 로봇, 음성 지시 피킹, 자동 컨베이어 등의 자동화 시스템은 수작업에 비해 주문 처리 시간을 대폭 단축할 수 있습니다.

그러나 자동화 시스템, 로봇, 창고 관리 소프트웨어와 같은 고급 주문 피킹 기술을 도입하려면 많은 경우 많은 투자가 필요합니다. 이는 특히 예산이 제한된 중소기업에게는 큰 장벽이 됩니다. 게다가, 고급 주문 피킹 솔루션은 정기적인 유지보수, 소프트웨어 업데이트 및 하드웨어 업그레이드를 필요로 하여 최적의 성능과 진화하는 기술과의 호환성을 보장합니다. 이러한 지속적인 유지보수 비용과 정기적인 업그레이드 필요성은 기업의 전반적인 운영 비용을 증가시켜 투자 수익률(ROI) 계산에 영향을 줄 수 있습니다.

창고 주문 피킹 시장 보고서 하이라이트

  • 창고 주문 피킹 시장에서는 클라우드 부문이 2023년에 58.0%의 최대 시장 점유율을 획득. 클라우드 부문은 확장성, 비용 효율성 및 실시간 데이터 액세스를 통해 창고 주문 피킹 시장을 독점합니다. 클라우드 솔루션을 통해 창고는 상당한 선행 투자 없이 변화하는 수요에 신속하게 대응하고 운영을 최적화할 수 있습니다. 클라우드 솔루션은 원격 액세스, IoT 및 AI와 같은 고급 기술과의 원활한 통합, 견고한 보안 조치를 제공하여 효율적이고 안전한 운영을 보장합니다. 또한 클라우드 서비스는 지속적인 업데이트, 재해 복구 및 협업 기능을 향상시켜 창고 주문 피킹 프로세스의 현대화와 간소화에 매우 매력적인 옵션이 되었습니다.
  • 멀티 주문 피킹 방식 부문은 가장 빠른 CAGR 11.0%를 나타낼 것으로 예측됩니다. 이 방식은 첨단 기술과의 통합을 통해 주문 정밀도를 높이고 증가하는 전자상거래 수요에 대응하는 확장성을 제공하여 다양한 제품 유형과 주문 크기에 유연하게 대응합니다. 또한 여러 주문의 피킹을 한 번의 이동으로 결합하여 멀티 주문 피킹은 창고 내의 이동 거리를 최소화합니다. 이 이동 시간의 단축은 신속한 주문 처리와 처리 능력의 향상으로 이어집니다.
  • 2023년 창고 주문 피킹 시장은 컨베이어 부문이 지배적이었습니다. 컨베이어는 자동 저장 및 검색 시스템(AS/RS), 로봇 선택기, 창고 관리 소프트웨어와 같은 다른 자동화 시스템과 쉽게 통합되어 간소화된 매우 효율적인 주문 피킹 프로세스를 구축할 수 있습니다. 또한 컨베이어 시스템은 창고 레이아웃의 변경과 주문량 증가에 대응하기 때문에 비교적 쉽게 확대 및 재구성이 가능하며 성장하는 비즈니스에 확장성을 기재하고 있습니다.
  • 전자상거래 부문은 CAGR이 13.4%로 가장 빠를 것으로 예측됩니다. 소비자는 일용품부터 고급품에 이르기까지 다양한 상품을 전자상거래로 구매하게 되어 효율적인 주문처리 프로세스에 대한 수요가 급증하고 있습니다. 전자상거래 플랫폼은 전통적인 소매업에 비해 소량의 다중 빈도 주문이 많기 때문에 주문 밀도를 신속하고 정확하게 처리할 수 있는 고급 주문 피킹 시스템이 필요합니다. 이러한 수요가 증가함에 따라 전자상거래 사업자는 높은 서비스 수준과 고객 만족도를 유지하기 위해 고급 창고 기술과 기술에 대한 투자를 강요하고 창고 주문 피킹 시장의 성장을 이끌고 있습니다.
  • 2023년 창고 주문 피킹 시장은 미국을 필두로 하는 북미가 지배적이었습니다. 북미는 자동화, 로봇공학, 인공지능(AI), 사물인터넷(IoT) 등 첨단기술 도입으로 최첨단을 달리고 있습니다. 또한 미국은 온라인과 오프라인 모두에서 대규모의 다양한 소매 부문을 보유하고 있습니다. 이러한 다양성은 다양한 제품 및 주문 유형을 관리하기 위한 고급 물류 및 주문 완성 시스템을 필요로 하며 고급 창고 주문 피킹 솔루션에 대한 수요가 더욱 높아지고 있습니다.
  • 2023년 3월 Swisslog Holding AG는 CarryPick 모바일 로봇식 상품 대인 검색 및 보관 시스템의 최신 버전을 발표했습니다. 이 차세대 솔루션은 보다 빠르고 민첩한 AGV와 같은 향상된 기능을 자랑합니다. 스위스 로그 홀딩 AG는 이러한 진화를 활용하여 성능 수준을 높이고 소중한 고객의 투자 수익률을 가속화하는 것을 목표로 하고 있습니다.

목차

제1장 조사 방법과 범위

제2장 주요 요약

제3장 창고 주문 피킹 시장의 변수, 동향, 범위

  • 시장 소개/계통 전망
  • 업계 밸류체인 분석
  • 시장 역학
    • 시장 성장 촉진요인 분석
    • 시장 성장 억제요인 분석
    • 업계의 기회
  • 창고 주문 피킹 시장 분석 도구
    • Porter's Five Forces 분석
    • PESTEL 분석

제4장 창고 주문 피킹 시장 : 전개, 추정·동향 분석

  • 부문 대시보드
  • 창고 주문 피킹 시장 : 전개 변동 분석, 2023년과 2030년
  • 클라우드
  • 온프레미스

제5장 창고 주문 피킹 시장 : 주문 피킹 방법, 추정·동향 분석

  • 부문 대시보드
  • 창고 주문 피킹 시장 : 주문 피킹 방법 변동 분석, 2023년과 2030년
  • 싱글 주문 피킹
  • 멀티 주문 피킹

제6장 창고 주문 피킹 시장 : 기술, 추정·동향 분석

  • 부문 대시보드
  • 창고 주문 피킹 시장 :기술 변동 분석, 2023년과 2030년
  • 자동 창고 시스템(AS/RS)
  • 무인 반송차/자율 이동 로봇(AGV/AMR)
  • 컨베이어 시스템
  • 스캐너
  • 기타

제7장 창고 주문 피킹 시장 : 최종 용도, 추정·동향 분석

  • 부문 대시보드
  • 창고 주문 피킹 시장 : 최종 용도 변동 분석, 2023년과 2030년
  • 건설
  • 제조업
  • 소매
  • 전자상거래
  • 의료, 의약품, 화장품
  • 운송 및 물류
  • 기타

제8장 창고 주문 피킹 시장 : 지역별, 추정·동향 분석

  • 창고 주문 피킹 시장 점유율, 지역별, 2023년과 2030년, 100만 달러
  • 북미
    • 북미의 창고 주문 피킹 시장 추정·예측, 2017-2030년
    • 미국
    • 캐나다
    • 멕시코
  • 유럽
    • 유럽의 창고 주문 피킹 시장 추정·예측, 2017-2030년
    • 영국
    • 독일
    • 프랑스
  • 아시아태평양
    • 아시아태평양의 창고 주문 피킹 시장 추정·예측, 2017-2030년
    • 중국
    • 일본
    • 인도
    • 한국
    • 호주
  • 라틴아메리카
    • 라틴아메리카의 창고 주문 피킹 시장 추정·예측, 2017-2030년
    • 브라질
  • 중동 및 아프리카
    • 중동 및 아프리카의 창고 주문 피킹 시장 추정·예측, 2017-2030년
    • 사우디아라비아
    • 아랍에미리트(UAE)
    • 남아프리카

제9장 경쟁 구도

  • 주요 시장 기업에 의한 최근의 동향과 영향 분석
  • 기업 분류
  • 기업의 시장 포지셔닝
  • 기업의 시장 점유율 분석
  • 전략 매핑
    • 확대
    • 합병과 인수
    • 파트너십과 협업
    • 신제품 발매
    • 연구개발
  • 기업 프로파일
    • Honeywell International
    • Korber AG
    • Bastian Solutions, LLC
    • Knapp AG
    • Barcodes, Inc.
    • Swisslog Holding AG
    • Dematic(KION Group AG)
    • TGW Logistics Group
    • AB&R(American Barcode and RFID)
    • BEUMER GROUP
JHS 24.08.22

Warehouse Order Picking Market Growth & Trends:

The global warehouse order picking market size is anticipated to reach USD 18.70 billion by 2030. It is anticipated to expand at a CAGR of 10.8% from 2024 to 2030, according to a new report by Grand View Research, Inc. The global warehouse order picking market is experiencing significant growth, driven by various factors such as the increasing demand for automation in warehouses, the rapid development of the e-commerce industry, and the need to reduce response time and increase order fulfillment productivity.

There is a growing preference among warehouse owners to incorporate automation technologies such as barcode scanning, RFID, voice-directed picking, and robotics to reduce order processing time and increase productivity. These technologies streamline order processing, reduce human errors, lower operating costs, and improve overall productivity. For example, RFID technology can increase SKU-level inventory accuracy, voice picking can save time per pick, and robotics can handle repetitive tasks, all contributing to these benefits. Additionally, automation technologies can improve the customer experience by ensuring product availability and accuracy.

Companies are outsourcing manufacturing and storage activities across the globe, leading to intricate supply chain networks. Automated order picking and inventory management systems enable businesses to efficiently manage these complex global supply chains and meet personalized customer requirements with high accuracy and speed. Customers now expect faster delivery times, putting pressure on warehouses to process orders quickly. Automated systems such as goods-to-person robots, voice-directed picking, and automated conveyors can significantly reduce order processing times compared to manual operations.

However, implementing advanced order picking technologies such as automation systems, robotics, and warehouse management software often requires substantial upfront capital investments. This can be a significant barrier, especially for small and medium-sized businesses with limited budgets. In addition, advanced order picking solutions often require regular maintenance, software updates, and hardware upgrades to ensure optimal performance and compatibility with evolving technologies. These ongoing maintenance costs and the need for periodic upgrades can add to the overall operational expenses for businesses, potentially impacting their return on investment (ROI) calculations.

Warehouse Order Picking Market Report Highlights:

  • The cloud segment claimed the largest market share of 58.0% in 2023 in the warehouse order picking market, driven by several key factors. The cloud segment dominates the warehouse order picking market due to its scalability, cost-efficiency, and real-time data access. It allows warehouses to adapt quickly to changing demands and optimize operations without significant upfront investments. Cloud solutions offer remote accessibility, seamless integration with advanced technologies such as IoT and AI, and robust security measures, ensuring efficient and secure operations. In addition, cloud services provide continuous updates, disaster recovery, and improved collaboration capabilities, making them a highly attractive option for modernizing and streamlining warehouse order picking processes
  • The multiple order picking method segment is projected to register the fastest CAGR of 11.0%. This method enhances order accuracy through integration with advanced technologies, offers scalability to handle growing e-commerce demands, and provides flexibility for diverse product types and order sizes. In addition, by consolidating the picking of multiple orders into a single trip, multiple order picking minimizes the travel distance within the warehouse. This reduction in travel time leads to faster order fulfillment and increased throughput
  • The conveyor segment dominated the warehouse order picking market in 2023. Conveyors can easily integrate with other automated systems, such as automated storage and retrieval systems (AS/RS), robotic pickers, and warehouse management software, creating a streamlined and highly efficient order picking process. In addition, conveyor systems can be expanded and reconfigured relatively easily to accommodate changes in warehouse layout or increases in order volume, providing scalability for growing businesses
  • The e-commerce segment is projected to register the fastest CAGR of 13.4%. Consumers are increasingly turning to e-commerce for a wide variety of products, from everyday essentials to luxury items, leading to a surge in demand for efficient order fulfillment processes. E-commerce platforms often face a high volume of small, frequent orders compared to traditional retail, necessitating sophisticated order picking systems that can handle this high order density quickly and accurately. This surging demand compels e-commerce businesses to invest in advanced warehouse technologies and methodologies to maintain high service levels and customer satisfaction, driving the growth of the warehouse order picking market
  • North America, led by the U.S., dominated the warehouse order picking market in 2023. North America is at the forefront of adopting advanced technologies such as automation, robotics, artificial intelligence (AI), and the Internet of Things (IoT). Additionally, the U.S. has a large and diverse retail sector, both online and offline. This diversity requires sophisticated logistics and order fulfillment systems to manage the wide variety of products and order types, further boosting the demand for advanced warehouse order picking solutions
  • In March 2023, Swisslog Holding AG introduced the latest iteration of its CarryPick mobile robotic goods-to-person retrieval and storage system. The next-generation solution boasts enhanced capabilities, including faster and more agile AGVs. By leveraging these advancements, Swisslog Holding AG aims to elevate performance levels and accelerate the return on investment for its valued customers

Table of Contents

Chapter 1. Methodology and Scope

  • 1.1. Market Segmentation and Scope
  • 1.2. Market Definitions
  • 1.3. Research Methodology
    • 1.3.1. Information Procurement
    • 1.3.2. Information or Data Analysis
    • 1.3.3. Market Formulation & Data Visualization
    • 1.3.4. Data Validation & Publishing
  • 1.4. Research Scope and Assumptions
    • 1.4.1. List of Data Sources

Chapter 2. Executive Summary

  • 2.1. Market Outlook
  • 2.2. Segment Outlook
  • 2.3. Competitive Landscape Outlook

Chapter 3. Warehouse Order Picking Market Variables, Trends, & Scope

  • 3.1. Market Introduction/Lineage Outlook
  • 3.2. Industry Value Chain Analysis
  • 3.3. Market Dynamics
    • 3.3.1. Market Drivers Analysis
      • 3.3.1.1. Globalization of Supply Chain Network
      • 3.3.1.2. Growth of the E-commerce Industry
      • 3.3.1.3. Rising Demand for Automated Warehouses
    • 3.3.2. Market Restraints Analysis
      • 3.3.2.1. Lack of Skilled Labor
      • 3.3.2.2. High Initial Investment
    • 3.3.3. Industry Opportunities
      • 3.3.3.1. Technological Advancement in Warehouse Automation
  • 3.4. Warehouse Order Picking Market Analysis Tools
    • 3.4.1. Porter's Analysis
      • 3.4.1.1. Bargaining power of the suppliers
      • 3.4.1.2. Bargaining power of the buyers
      • 3.4.1.3. Threats of substitution
      • 3.4.1.4. Threats from new entrants
      • 3.4.1.5. Competitive rivalry
    • 3.4.2. PESTEL Analysis
      • 3.4.2.1. Political landscape
      • 3.4.2.2. Economic and Social landscape
      • 3.4.2.3. Technological landscape
      • 3.4.2.4. Environmental landscape
      • 3.4.2.5. Legal landscape

Chapter 4. Warehouse Order Picking Market: Deployment Estimates & Trend Analysis

  • 4.1. Segment Dashboard
  • 4.2. Warehouse Order Picking Market: Deployment Movement Analysis, 2023 & 2030 (USD Million)
  • 4.3. Cloud
    • 4.3.1. Cloud Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
  • 4.4. On-premises
    • 4.4.1. On-premises Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)

Chapter 5. Warehouse Order Picking Market: Order Picking Method Estimates & Trend Analysis

  • 5.1. Segment Dashboard
  • 5.2. Warehouse Order Picking Market: Order Picking Method Movement Analysis, 2023 & 2030 (USD Million)
  • 5.3. Single Order Picking
    • 5.3.1. Single Order Picking Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
  • 5.4. Multiple Order Picking
    • 5.4.1. Multiple Order Picking Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)

Chapter 6. Warehouse Order Picking Market: Technology Estimates & Trend Analysis

  • 6.1. Segment Dashboard
  • 6.2. Warehouse order picking Market: Technology Movement Analysis, 2023 & 2030 (USD Million)
  • 6.3. Automated Storage and Retrieval Systems (AS/RS)
    • 6.3.1. Automated Storage and Retrieval Systems (AS/RS) Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
  • 6.4. Automated Guided Vehicles/Autonomous Mobile Robot (AGV/AMR)
    • 6.4.1. Automated Guided Vehicles/Autonomous Mobile Robot (AGV/AMR) Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
  • 6.5. Conveyor Systems
    • 6.5.1. Conveyor Systems Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
  • 6.6. Scanners
    • 6.6.1. Scanners Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
  • 6.7. Others
    • 6.7.1. Others Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)

Chapter 7. Warehouse Order Picking Market: End Use Estimates & Trend Analysis

  • 7.1. Segment Dashboard
  • 7.2. Warehouse order picking Market: End Use Movement Analysis, 2023 & 2030 (USD Million)
  • 7.3. Construction
    • 7.3.1. Construction Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
  • 7.4. Manufacturing
    • 7.4.1. Manufacturing Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
  • 7.5. Retail
    • 7.5.1. Retail Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
  • 7.6. E-commerce
    • 7.6.1. E-commerce Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
  • 7.7. Healthcare, Pharma & Cosmetics
    • 7.7.1. Healthcare, Pharma & Cosmetics Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
  • 7.8. Transportation & Logistics
    • 7.8.1. Transportation & Logistics Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
  • 7.9. Others
    • 7.9.1. Others Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)

Chapter 8. Warehouse order picking Market: Regional Estimates & Trend Analysis

  • 8.1. Warehouse Order Picking Market Share, by Region, 2023 & 2030, USD Million
  • 8.2. North America
    • 8.2.1. North America Warehouse Order Picking Market Estimates and Forecasts, 2017 - 2030 (USD Million)
    • 8.2.2. North America Warehouse Order Picking Market Estimates and Forecasts, by Deployment, 2017 - 2030 (USD Million)
    • 8.2.3. North America Warehouse Order Picking Market Estimates and Forecasts, by Order Picking Method, 2017 - 2030 (USD Million)
    • 8.2.4. North America Warehouse Order Picking Market Estimates and Forecasts, by End Use, 2017 - 2030 (USD Million)
    • 8.2.5. U.S.
      • 8.2.5.1. U.S. Warehouse Order Picking Market Estimates and Forecasts, 2017 - 2030 (USD Million)
      • 8.2.5.2. U.S. Warehouse Order Picking Market Estimates and Forecasts, by Deployment, 2017 - 2030 (USD Million)
      • 8.2.5.3. U.S. Warehouse Order Picking Market Estimates and Forecasts, by Order Picking Method, 2017 - 2030 (USD Million)
      • 8.2.5.4. U.S. Warehouse Order Picking Market Estimates and Forecasts, by End Use, 2017 - 2030 (USD Million)
    • 8.2.6. Canada
      • 8.2.6.1. Canada Warehouse Order Picking Market Estimates and Forecasts, 2017 - 2030 (USD Million)
      • 8.2.6.2. Canada Warehouse Order Picking Market Estimates and Forecasts, by Deployment, 2017 - 2030 (USD Million)
      • 8.2.6.3. Canada Warehouse Order Picking Market Estimates and Forecasts, by Order Picking Method, 2017 - 2030 (USD Million)
      • 8.2.6.4. Canada Warehouse Order Picking Market Estimates and Forecasts, by End Use, 2017 - 2030 (USD Million)
    • 8.2.7. Mexico
      • 8.2.7.1. Mexico Warehouse Order Picking Market Estimates and Forecasts, 2017 - 2030 (USD Million)
      • 8.2.7.2. Mexico Warehouse Order Picking Market Estimates and Forecasts, by Deployment, 2017 - 2030 (USD Million)
      • 8.2.7.3. Mexico Warehouse Order Picking Market Estimates and Forecasts, by Order Picking Method, 2017 - 2030 (USD Million)
      • 8.2.7.4. Mexico Warehouse Order Picking Market Estimates and Forecasts, by End Use, 2017 - 2030 (USD Million)
  • 8.3. Europe
    • 8.3.1. Europe Warehouse Order Picking Market Estimates and Forecasts, 2017 - 2030 (USD Million)
    • 8.3.2. Europe Warehouse Order Picking Market Estimates and Forecasts, by Deployment, 2017 - 2030 (USD Million)
    • 8.3.3. Europe Warehouse Order Picking Market Estimates and Forecasts, by Order Picking Method, 2017 - 2030 (USD Million)
    • 8.3.4. Europe Warehouse Order Picking Market Estimates and Forecasts, by End Use, 2017 - 2030 (USD Million)
    • 8.3.5. UK
      • 8.3.5.1. UK Warehouse Order Picking Market Estimates and Forecasts, 2017 - 2030 (USD Million)
      • 8.3.5.2. UK Warehouse Order Picking Market Estimates and Forecasts, by Deployment, 2017 - 2030 (USD Million)
      • 8.3.5.3. UK Warehouse Order Picking Market Estimates and Forecasts, by Order Picking Method, 2017 - 2030 (USD Million)
      • 8.3.5.4. UK Warehouse Order Picking Market Estimates and Forecasts, by End Use, 2017 - 2030 (USD Million)
    • 8.3.6. Germany
      • 8.3.6.1. Germany Warehouse Order Picking Market Estimates and Forecasts, 2017 - 2030 (USD Million)
      • 8.3.6.2. Germany Warehouse Order Picking Market Estimates and Forecasts, by Deployment, 2017 - 2030 (USD Million)
      • 8.3.6.3. Germany Warehouse Order Picking Market Estimates and Forecasts, by Order Picking Method, 2017 - 2030 (USD Million)
      • 8.3.6.4. Germany Warehouse Order Picking Market Estimates and Forecasts, by End Use, 2017 - 2030 (USD Million)
    • 8.3.7. France
      • 8.3.7.1. France Warehouse Order Picking Market Estimates and Forecasts, 2017 - 2030 (USD Million)
      • 8.3.7.2. France Warehouse Order Picking Market Estimates and Forecasts, by Deployment, 2017 - 2030 (USD Million)
      • 8.3.7.3. France Warehouse Order Picking Market Estimates and Forecasts, by Order Picking Method, 2017 - 2030 (USD Million)
      • 8.3.7.4. France Warehouse Order Picking Market Estimates and Forecasts, by End Use, 2017 - 2030 (USD Million)
  • 8.4. Asia Pacific
    • 8.4.1. Asia Pacific Warehouse Order Picking Market Estimates and Forecasts, 2017 - 2030 (USD Million)
    • 8.4.2. Asia Pacific Warehouse Order Picking Market Estimates and Forecasts, by Deployment, 2017 - 2030 (USD Million)
    • 8.4.3. Asia Pacific Warehouse Order Picking Market Estimates and Forecasts, by Order Picking Method, 2017 - 2030 (USD Million)
    • 8.4.4. Asia Pacific Warehouse Order Picking Market Estimates and Forecasts, by End Use, 2017 - 2030 (USD Million)
    • 8.4.5. China
      • 8.4.5.1. China Warehouse Order Picking Market Estimates and Forecasts, 2017 - 2030 (USD Million)
      • 8.4.5.2. China Warehouse Order Picking Market Estimates and Forecasts, by Deployment, 2017 - 2030 (USD Million)
      • 8.4.5.3. China Warehouse Order Picking Market Estimates and Forecasts, by Order Picking Method, 2017 - 2030 (USD Million)
      • 8.4.5.4. China Warehouse Order Picking Market Estimates and Forecasts, by End Use, 2017 - 2030 (USD Million)
    • 8.4.6. Japan
      • 8.4.6.1. Japan Warehouse Order Picking Market Estimates and Forecasts, 2017 - 2030 (USD Million)
      • 8.4.6.2. Japan Warehouse Order Picking Market Estimates and Forecasts, by Deployment, 2017 - 2030 (USD Million)
      • 8.4.6.3. Japan Warehouse Order Picking Market Estimates and Forecasts, by Order Picking Method, 2017 - 2030 (USD Million)
      • 8.4.6.4. Japan Warehouse Order Picking Market Estimates and Forecasts, by End Use, 2017 - 2030 (USD Million)
    • 8.4.7. India
      • 8.4.7.1. India Warehouse Order Picking Market Estimates and Forecasts, 2017 - 2030 (USD Million)
      • 8.4.7.2. India Warehouse Order Picking Market Estimates and Forecasts, by Deployment, 2017 - 2030 (USD Million)
      • 8.4.7.3. India Warehouse Order Picking Market Estimates and Forecasts, by Order Picking Method, 2017 - 2030 (USD Million)
      • 8.4.7.4. India Warehouse Order Picking Market Estimates and Forecasts, by End Use, 2017 - 2030 (USD Million)
    • 8.4.8. South Korea
      • 8.4.8.1. South Korea Warehouse Order Picking Market Estimates and Forecasts, 2017 - 2030 (USD Million)
      • 8.4.8.2. South Korea Warehouse Order Picking Market Estimates and Forecasts, by Deployment, 2017 - 2030 (USD Million)
      • 8.4.8.3. South Korea Warehouse Order Picking Market Estimates and Forecasts, by Order Picking Method, 2017 - 2030 (USD Million)
      • 8.4.8.4. South Korea Warehouse Order Picking Market Estimates and Forecasts, by End Use, 2017 - 2030 (USD Million)
    • 8.4.9. Australia
      • 8.4.9.1. Australia Warehouse Order Picking Market Estimates and Forecasts, 2017 - 2030 (USD Million)
      • 8.4.9.2. Australia Warehouse Order Picking Market Estimates and Forecasts, by Deployment, 2017 - 2030 (USD Million)
      • 8.4.9.3. Australia Warehouse Order Picking Market Estimates and Forecasts, by Order Picking Method, 2017 - 2030 (USD Million)
      • 8.4.9.4. Australia Warehouse Order Picking Market Estimates and Forecasts, by End Use, 2017 - 2030 (USD Million)
  • 8.5. Latin America
    • 8.5.1. Latin America Warehouse Order Picking Market Estimates and Forecasts, 2017 - 2030 (USD Million)
    • 8.5.2. Latin America Warehouse Order Picking Market Estimates and Forecasts, by Deployment, 2017 - 2030 (USD Million)
    • 8.5.3. Latin America Warehouse Order Picking Market Estimates and Forecasts, by Order Picking Method, 2017 - 2030 (USD Million)
    • 8.5.4. Latin America Warehouse Order Picking Market Estimates and Forecasts, by End Use, 2017 - 2030 (USD Million)
    • 8.5.5. Brazil
      • 8.5.5.1. Brazil Warehouse Order Picking Market Estimates and Forecasts, 2017 - 2030 (USD Million)
      • 8.5.5.2. Brazil Warehouse Order Picking Market Estimates and Forecasts, by Deployment, 2017 - 2030 (USD Million)
      • 8.5.5.3. Brazil Warehouse Order Picking Market Estimates and Forecasts, by Order Picking Method, 2017 - 2030 (USD Million)
      • 8.5.5.4. Brazil Warehouse Order Picking Market Estimates and Forecasts, by End Use, 2017 - 2030 (USD Million)
  • 8.6. Middle East and Africa (MEA)
    • 8.6.1. MEA Warehouse Order Picking Market Estimates and Forecasts, 2017 - 2030 (USD Million)
    • 8.6.2. MEA Warehouse Order Picking Market Estimates and Forecasts, by Deployment, 2017 - 2030 (USD Million)
    • 8.6.3. MEA Warehouse Order Picking Market Estimates and Forecasts, by Order Picking Method, 2017 - 2030 (USD Million)
    • 8.6.4. MEA Warehouse Order Picking Market Estimates and Forecasts, by End Use, 2017 - 2030 (USD Million)
    • 8.6.5. KSA
      • 8.6.5.1. KSA Warehouse Order Picking Market Estimates and Forecasts, 2017 - 2030 (USD Million)
      • 8.6.5.2. KSA Warehouse Order Picking Market Estimates and Forecasts, by Deployment, 2017 - 2030 (USD Million)
      • 8.6.5.3. KSA Warehouse Order Picking Market Estimates and Forecasts, by Order Picking Method, 2017 - 2030 (USD Million)
      • 8.6.5.4. KSA Warehouse Order Picking Market Estimates and Forecasts, by End Use, 2017 - 2030 (USD Million)
    • 8.6.6. UAE
      • 8.6.6.1. UAE Warehouse Order Picking Market Estimates and Forecasts, 2017 - 2030 (USD Million)
      • 8.6.6.2. UAE Warehouse Order Picking Market Estimates and Forecasts, by Deployment, 2017 - 2030 (USD Million)
      • 8.6.6.3. UAE Warehouse Order Picking Market Estimates and Forecasts, by Order Picking Method, 2017 - 2030 (USD Million)
      • 8.6.6.4. UAE Warehouse Order Picking Market Estimates and Forecasts, by End Use, 2017 - 2030 (USD Million)
    • 8.6.7. South Africa
      • 8.6.7.1. South Africa Warehouse Order Picking Market Estimates and Forecasts, 2017 - 2030 (USD Million)
      • 8.6.7.2. South Africa Warehouse Order Picking Market Estimates and Forecasts, by Deployment, 2017 - 2030 (USD Million)
      • 8.6.7.3. South Africa Warehouse Order Picking Market Estimates and Forecasts, by Order Picking Method, 2017 - 2030 (USD Million)
      • 8.6.7.4. South Africa Warehouse Order Picking Market Estimates and Forecasts, by End Use, 2017 - 2030 (USD Million)

Chapter 9. Competitive Landscape

  • 9.1. Recent Developments & Impact Analysis by Key Market Companies
  • 9.2. Company Categorization
  • 9.3. Company Market Positioning
  • 9.4. Company Market Share Analysis
  • 9.5. Strategy Mapping
    • 9.5.1. Expansion
    • 9.5.2. Mergers & Acquisition
    • 9.5.3. Partnerships & Collaborations
    • 9.5.4. New Product Launches
    • 9.5.5. Research and Development
  • 9.6. Company Profiles
    • 9.6.1. Honeywell International
      • 9.6.1.1. Company Overview
      • 9.6.1.2. Financial Performance
      • 9.6.1.3. Product Benchmarking
      • 9.6.1.4. Recent Developments
    • 9.6.2. Korber AG
      • 9.6.2.1. Company Overview
      • 9.6.2.2. Financial Performance
      • 9.6.2.3. Product Benchmarking
      • 9.6.2.4. Recent Developments
    • 9.6.3. Bastian Solutions, LLC
      • 9.6.3.1. Company Overview
      • 9.6.3.2. Financial Performance
      • 9.6.3.3. Product Benchmarking
      • 9.6.3.4. Recent Developments
    • 9.6.4. Knapp AG
      • 9.6.4.1. Company Overview
      • 9.6.4.2. Financial Performance
      • 9.6.4.3. Product Benchmarking
      • 9.6.4.4. Recent Developments
    • 9.6.5. Barcodes, Inc.
      • 9.6.5.1. Company Overview
      • 9.6.5.2. Financial Performance
      • 9.6.5.3. Product Benchmarking
      • 9.6.5.4. Recent Developments
    • 9.6.6. Swisslog Holding AG
      • 9.6.6.1. Company Overview
      • 9.6.6.2. Financial Performance
      • 9.6.6.3. Product Benchmarking
      • 9.6.6.4. Recent Developments
    • 9.6.7. Dematic (KION Group AG)
      • 9.6.7.1. Company Overview
      • 9.6.7.2. Financial Performance
      • 9.6.7.3. Product Benchmarking
      • 9.6.7.4. Recent Developments
    • 9.6.8. TGW Logistics Group
      • 9.6.8.1. Company Overview
      • 9.6.8.2. Financial Performance
      • 9.6.8.3. Product Benchmarking
      • 9.6.8.4. Recent Developments
    • 9.6.9. AB&R (American Barcode and RFID)
      • 9.6.9.1. Company Overview
      • 9.6.9.2. Financial Performance
      • 9.6.9.3. Product Benchmarking
      • 9.6.9.4. Recent Developments
    • 9.6.10. BEUMER GROUP
      • 9.6.10.1. Company Overview
      • 9.6.10.2. Financial Performance
      • 9.6.10.3. Product Benchmarking
      • 9.6.10.4. Recent Developments
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