Warehouse Order Picking Software Market Synopsis

Warehouse Order Picking Software Market Size Was Valued at USD 8.16 Billion in 2022 and is Projected to Reach USD 17.83 Billion by 2030, Growing at a CAGR of 10.26% From 2023-2030.

Warehouse Order Picking Software is a technology solution that improves the process of picking items from a warehouse or distribution center. Typical features include inventory management, order routing, real-time location tracking, and picking route optimization. The software aims to increase efficiency, accuracy, and speed in fulfilling customer orders by providing warehouse workers with the information and tools they need to pick items quickly and accurately.

• Warehouse Order Picking Software may include barcode scanning to identify items, pick-to-light or pick-to-voice functionality for hands-free picking, and integration with warehouse management systems (WMS) or enterprise resource planning (ERP) systems for seamless order processing. Some advanced solutions may use artificial intelligence (AI) and machine learning to analyze historical data and predict the best picking routes or inventory replenishment needs.
• The growing complexity of warehouse operations, combined with the need for accuracy in order fulfillment, has increased the market for Warehouse Order Picking Software. Manual picking procedures become ineffective and costly as warehouses manage multiple order types and handle a higher volume of SKUs.
• The growing formation of technology such as barcode scanning, pick-to-light systems, and RFID (radio-frequency identification) tracking into Warehouse Order Picking Software is propelling market expansion. These technologies allow for faster and more accurate picking processes by providing warehouse workers with real-time information and guidance on the location of items to be picked.

Warehouse Order Picking Software Market Trend Analysis

Growing Diverse and Complex Inventories

• Businesses expanding their product offerings and target to diverse customer demands, also warehouses are faced with handling an increasingly broad range of stock-keeping units (SKUs). Manual picking methods struggle to keep up with this complexity, resulting in inefficiencies and errors in order fulfilment. Warehouse order picking software addresses this issue by offering sophisticated tools for managing different SKU types, locations, and picking strategies, resulting in optimal selection and streamlined processes. ​

• Additionally, the need for increased operational efficiency and productivity causes up demand for warehouse order-picking software. Manual picking methods frequently result in time-consuming processes and errors, which can cause delays and customer dissatisfaction. Warehouse order picking software automates and optimizes picking processes, resulting in fewer errors and shorter fulfillment times.
• The integration of advanced technologies such as barcode scanning, pick-to-light systems, and RFID tracking into warehouse order-picking software is moving the market forward. These technologies allow for real-time inventory tracking, accurate item identification, and efficient picking route optimization. Warehouses that use such technologies can improve the accuracy and speed of order fulfillment, resulting in higher customer satisfaction.

Integration with Advanced Automation and Robotics

• Warehouses are constantly improving their picking procedures as e-commerce expands and consumer demand for precise and quick order fulfillment increases. To accomplish this, warehouse order-picking software is required. It uses sophisticated algorithms and optimization strategies to prioritize orders, decrease picking routes, and reduce errors, all of which boost output and customer satisfaction.
• With the increasing use of robots, drones, and other automated systems in warehouses, there is a demand for intelligent software solutions that can organize and optimize the interaction between humans and machines. Warehouse order-picking software can use automated algorithms to automatically allocate tasks to humans and robots based on factors such as order volume, SKU characteristics, and warehouse layout, allowing for seamless collaboration and increased efficiency.
• The need for scalable and adaptable solutions that can change with changing business requirements and operational environments is driving the growth of the warehouse order-picking software market. Software that can easily adapt to these changes without affecting ongoing operations is needed as warehouses grow, diversify the products they offer, or adopt new picking techniques.

Warehouse Order Picking Software Market Segment Analysis:

Warehouse Order Picking Software Market is Segmented on the basis of Type, Deployment Model, Picking System, and Application.

By Type, Barcode scanning/RFID picking segment is expected to dominate the market during the forecast period

• Barcode scanning and RFID technology are becoming widely used in warehouse operations, which improves inventory visibility and accuracy, lowers error rates, and increases order fulfillment efficiency.  Real-time tracking of inventory movements is made possible by these technologies, which help warehouses allocate resources and pick routes more efficiently, increasing productivity and lowering costs.
• Modern warehouse order-picking software solutions use barcode scanning and RFID technology to automate data capture processes, streamline order-picking workflows, and provide real-time inventory levels and locations. As warehouses attempt to improve operational efficiency and customer responsiveness, demand for robust barcode scanning/RFID picking solutions is expected to remain high, driving the growth of this segment.
• Barcode scanning/RFID picking solutions are appropriate for a variety of warehouse environments and industries due to their scalability and versatility. These technologies provide adaptable and customizable solutions that can accommodate different inventory types, picking strategies, and business needs, ranging from small-scale warehouses to large distribution centers.

By Application, the E-commerce segment is expected to dominate the market during the forecast period

• The exponential growth of e-commerce has resulted in an unprecedented increase in order volume and demand for efficient order fulfillment solutions. Online retailers struggle to meet customer expectations for quick and accurate deliveries, making advanced warehouse order-picking software essential for optimizing picking processes, reducing errors, and improving overall operational efficiency.
• The increasing competition in the e-commerce industry requires businesses to invest in advanced technologies to gain a competitive advantage. Warehouse order-picking software makes it possible for e-commerce companies to streamline their fulfillment operations, shorten order processing times, and improve order accuracy, resulting in increased customer satisfaction and loyalty.
• The scalability and flexibility of modern warehouse order-picking software make it ideal for achieving the dynamic and rapidly changing needs of e-commerce businesses, such as seasonal fluctuations in demand and SKU diversity. The growing trend of omnichannel retailing, where retailers seamlessly integrate online and offline sales channels, drives the adoption of warehouse order-picking software in the e-commerce sector.

Warehouse Order Picking Software Market Regional Insights:

Asia Pacific is Expected to Dominate the Market Over the Forecast Period

• Asia Pacific is poised for rapid growth, due to the region's growing e-commerce industry, which has increased demand for advanced order fulfillment solutions. Consumers are increasingly turning to online shopping and e-commerce, while businesses are modernizing warehouse operations and improving order-picking efficiency. This increased demand for efficient order-picking solutions is driving the adoption of warehouse order-picking software throughout the Asia-Pacific region.
• Manufacturing activities continue to thrive in China, India, Japan, South Korea, and Southeast Asian countries such as Vietnam, Thailand, and Indonesia, creating a growing demand for automated warehouse solutions to support production and distribution operations. Warehouse order picking software allows manufacturers to optimize inventory management, improve order accuracy, and improve overall operational efficiency, resulting in its widespread adoption throughout Asia Pacific's manufacturing industry.
• The growing emphasis on technological innovation and digital transformation initiatives across industries in Asia Pacific is expected to dominate the Warehouse Order Picking Software Market. This trend is expected to drive sustained demand for warehouse order-picking software in Asia Pacific, contributing to the region's status as the world's fastest-growing market.

Warehouse Order Picking Software Market Top Key Players:

• ShipBob (US)
• HandiFox (US)
• SKUSavvy (US)
• Shipedge (US)
• Manhattan Associates (US)
• Inyxa (US)
• eoStar (US)
• K-Store (UK)
• Voxware (US)
• ASC Software (US)
• bMobile route mobile software (US)
• Kentucky (US)
• Cirrus Tech (US)
• iVision (US)
• Lightning Pick (US)
• Lucas Systems (US)
• Veeqo (UK)
• Scandit (Switzerland)
• ABB Group (Switzerland)
• Boltrics (Netherlands)
• TGW Group (Austria)
• Iptor (Sweden)
• Euclid Labs (Italy)
• Increff (India)
• Calidus LLC (UAE), and Other Major Players

Key Industry Developments in the Warehouse Order Picking Software Market:

• In July 2022, ShipBob, the leading global omnifulfillment platform, launched its Merchant Plus solution, which provides brands with customizable pick and packs workflows such as cluster and batch picking to increase efficiencies, customizable setup options for on-the-floor inventory, and enhanced transparency to manage warehouse employees, orders, and inventory from anywhere while driving operational improvements.
• In April 2023, ABB Robotics launched an AI-enabled robotic item picker that helps customers automate order picking and sorter induction operations, and it fulfills ABB's vision of a fully automated warehouse by combining automated storage and automated order picking.

1. INTRODUCTION
   1. RESEARCH OBJECTIVES
   2. RESEARCH METHODOLOGY
   3. RESEARCH PROCESS
   4. SCOPE AND COVERAGE
      1. Market Definition
      2. Key Questions Answered
   5. MARKET SEGMENTATION
2. EXECUTIVE SUMMARY
3. MARKET OVERVIEW
4. GROWTH OPPORTUNITIES BY SEGMENT
5. MARKET LANDSCAPE
   1. PORTER’S FIVE FORCES ANALYSIS
      1. Bargaining Power Of Supplier
      2. Threat Of New Entrants
      3. Threat Of Substitutes
      4. Competitive Rivalry
      5. Bargaining Power Among Buyers
   2. INDUSTRY VALUE CHAIN ANALYSIS
   3. MARKET DYNAMICS
      1. Drivers
      2. Restraints
      3. Opportunities
      4. Challenges
   4. MARKET TREND ANALYSIS
   5. REGULATORY LANDSCAPE
   6. PESTLE ANALYSIS
   7. PRICE TREND ANALYSIS
   8. PATENT ANALYSIS
   9. TECHNOLOGY EVALUATION
   10. MARKET IMPACT OF THE RUSSIA-UKRAINE WAR
       1. Geopolitical Market Disruptions
       2. Supply Chain Disruptions
       3. Instability in Emerging Markets
   11. ECOSYSTEM
6. WAREHOUSE ORDER PICKING SOFTWARE MARKET BY TYPE (2017-2030)
   1. WAREHOUSE ORDER PICKING SOFTWARE MARKET SNAPSHOT AND GROWTH ENGINE
   2. MARKET OVERVIEW
   3. BARCODE SCANNING/RFID PICKING
      1. Introduction And Market Overview
      2. Historic And Forecasted Market Size in Value (2017 – 2030F)
      3. Historic And Forecasted Market Size in Volume (2017 – 2030F)
      4. Key Market Trends, Growth Factors And Opportunities
      5. Geographic Segmentation Analysis
   4. PAPER-BASED PICKING
   5. VOICE-DIRECTED PICKING
   6. PICK-TO-LIGHT
7. WAREHOUSE ORDER PICKING SOFTWARE MARKET BY DEPLOYMENT MODE (2017-2030)
   1. WAREHOUSE ORDER PICKING SOFTWARE MARKET SNAPSHOT AND GROWTH ENGINE
   2. MARKET OVERVIEW
   3. CLOUD-BASED
      1. Introduction And Market Overview
      2. Historic And Forecasted Market Size in Value (2017 – 2030F)
      3. Historic And Forecasted Market Size in Volume (2017 – 2030F)
      4. Key Market Trends, Growth Factors And Opportunities
      5. Geographic Segmentation Analysis
   4. ON-PREMISE
8. WAREHOUSE ORDER PICKING SOFTWARE MARKET BY PICKING SYSTEM (2017-2030)
   1. WAREHOUSE ORDER PICKING SOFTWARE MARKET SNAPSHOT AND GROWTH ENGINE
   2. MARKET OVERVIEW
   3. WAVE PICKING
      1. Introduction And Market Overview
      2. Historic And Forecasted Market Size in Value (2017 – 2030F)
      3. Historic And Forecasted Market Size in Volume (2017 – 2030F)
      4. Key Market Trends, Growth Factors And Opportunities
      5. Geographic Segmentation Analysis
   4. BATCH PICKING
   5. ZONE PICKING
9. WAREHOUSE ORDER PICKING SOFTWARE MARKET BY APPLICATION (2017-2030)
   1. WAREHOUSE ORDER PICKING SOFTWARE MARKET SNAPSHOT AND GROWTH ENGINE
   2. MARKET OVERVIEW
   3. E-COMMERCE
      1. Introduction And Market Overview
      2. Historic And Forecasted Market Size in Value (2017 – 2030F)
      3. Historic And Forecasted Market Size in Volume (2017 – 2030F)
      4. Key Market Trends, Growth Factors And Opportunities
      5. Geographic Segmentation Analysis
   4. CONSTRUCTION
   5. RETAIL
   6. TRANSPORTATION & LOGISTICS
   7. HEALTHCARE
10. COMPANY PROFILES AND COMPETITIVE ANALYSIS
    1. COMPETITIVE LANDSCAPE
       1. Competitive Positioning
       2. Warehouse Order Picking Software Market Share By Manufacturer (2022)
       3. Industry BCG Matrix
       4. Heat Map Analysis
       5. Mergers & Acquisitions
    2. SHIPBOB (US)
       1. Company Overview
       2. Key Executives
       3. Company Snapshot
       4. Role of the Company in the Market
       5. Sustainability and Social Responsibility
       6. Operating Business Segments
       7. Product Portfolio
       8. Business Performance (Production Volume, Sales Volume, Sales Margin, Production Capacity, Capacity Utilization Rate)
       9. Key Strategic Moves And Recent Developments
       10. SWOT Analysis
    3. HANDIFOX (US)
    4. SKUSAVVY (US)
    5. SHIPEDGE (US)
    6. MANHATTAN ASSOCIATES (US)
    7. INYXA (US)
    8. EOSTAR (US)
    9. K-STORE (UK)
    10. VOXWARE (US)
    11. ASC SOFTWARE (US)
    12. BMOBILE ROUTE MOBILE SOFTWARE (US)
    13. KENTUCKY (US)
    14. CIRRUS TECH (US)
    15. IVISION (US)
    16. LIGHTNING PICK (US)
    17. LUCAS SYSTEMS (US)
    18. VEEQO (UK)
    19. SCANDIT (SWITZERLAND)
    20. ABB GROUP (SWITZERLAND)
    21. BOLTRICS (NETHERLANDS)
    22. TGW GROUP (AUSTRIA)
    23. IPTOR (SWEDEN)
    24. EUCLID LABS (ITALY)
    25. INCREFF (INDIA)
    26. CALIDUS LLC (UAE)
11. GLOBAL WAREHOUSE ORDER PICKING SOFTWARE MARKET BY REGION
    1. OVERVIEW
    2. NORTH AMERICA
       1. Key Market Trends, Growth Factors And Opportunities
       2. Key Manufacturers
       3. Historic And Forecasted Market Size By Type
       4. Historic And Forecasted Market Size By Deployment Model
       5. Historic And Forecasted Market Size By Picking System
       6. Historic And Forecasted Market Size By Application
       7. Historic And Forecasted Market Size By Country
          1. USA
          2. Canada
          3. Mexico
    3. EASTERN EUROPE
       1. Key Market Trends, Growth Factors And Opportunities
       2. Key Manufacturers
       3. Historic And Forecasted Market Size By Segments
       4. Historic And Forecasted Market Size By Country
          1. Russia
          2. Bulgaria
          3. The Czech Republic
          4. Hungary
          5. Poland
          6. Romania
          7. Rest Of Eastern Europe
    4. WESTERN EUROPE
       1. Key Market Trends, Growth Factors And Opportunities
       2. Key Manufacturers
       3. Historic And Forecasted Market Size By Segments
       4. Historic And Forecasted Market Size By Country
          1. Germany
          2. United Kingdom
          3. France
          4. The Netherlands
          5. Italy
          6. Spain
          7. Rest Of Western Europe
    5. ASIA PACIFIC
       1. Key Market Trends, Growth Factors And Opportunities
       2. Key Manufacturers
       3. Historic And Forecasted Market Size By Segments
       4. Historic And Forecasted Market Size By Country
          1. China
          2. India
          3. Japan
          4. South Korea
          5. Malaysia
          6. Thailand
          7. Vietnam
          8. The Philippines
          9. Australia
          10. New-Zealand
          11. Rest Of APAC
    6. MIDDLE EAST & AFRICA
       1. Key Market Trends, Growth Factors And Opportunities
       2. Key Manufacturers
       3. Historic And Forecasted Market Size By Segments
       4. Historic And Forecasted Market Size By Country
          1. Turkey
          2. Bahrain
          3. Kuwait
          4. Saudi Arabia
          5. Qatar
          6. UAE
          7. Israel
          8. South Africa
    7. SOUTH AMERICA
       1. Key Market Trends, Growth Factors And Opportunities
       2. Key Manufacturers
       3. Historic And Forecasted Market Size By Segments
       4. Historic And Forecasted Market Size By Country
          1. Brazil
          2. Argentina
          3. Rest of South America
12. INVESTMENT ANALYSIS
13. ANALYST VIEWPOINT AND CONCLUSION
    1. Recommendations and Concluding Analysis
    2. Potential Market Strategies

LIST OF TABLES

TABLE 001. EXECUTIVE SUMMARY
TABLE 002. WAREHOUSE ORDER PICKING SOFTWARE MARKET BARGAINING POWER OF SUPPLIERS
TABLE 003. WAREHOUSE ORDER PICKING SOFTWARE MARKET BARGAINING POWER OF CUSTOMERS
TABLE 004. WAREHOUSE ORDER PICKING SOFTWARE MARKET COMPETITIVE RIVALRY
TABLE 005. WAREHOUSE ORDER PICKING SOFTWARE MARKET THREAT OF NEW ENTRANTS
TABLE 006. WAREHOUSE ORDER PICKING SOFTWARE MARKET THREAT OF SUBSTITUTES
TABLE 007. WAREHOUSE ORDER PICKING SOFTWARE MARKET BY TYPE
TABLE 008. VOICE PICKING SOFTWARE MARKET OVERVIEW (2016-2028)
TABLE 009. VISION-GUIDED PICKING SOFTWARE MARKET OVERVIEW (2016-2028)
TABLE 010. WAREHOUSE ORDER PICKING SOFTWARE MARKET BY APPLICATION
TABLE 011. FOOD AND BEVERAGES MARKET OVERVIEW (2016-2028)
TABLE 012. CONSUMER GOODS MARKET OVERVIEW (2016-2028)
TABLE 013. RETAIL AND E-COMMERCE MARKET OVERVIEW (2016-2028)
TABLE 014. OTHERS (MANUFACTURING MARKET OVERVIEW (2016-2028)
TABLE 015. HEALTHCARE MARKET OVERVIEW (2016-2028)
TABLE 016. ETC.) MARKET OVERVIEW (2016-2028)
TABLE 017. NORTH AMERICA WAREHOUSE ORDER PICKING SOFTWARE MARKET, BY TYPE (2016-2028)
TABLE 018. NORTH AMERICA WAREHOUSE ORDER PICKING SOFTWARE MARKET, BY APPLICATION (2016-2028)
TABLE 019. N WAREHOUSE ORDER PICKING SOFTWARE MARKET, BY COUNTRY (2016-2028)
TABLE 020. EUROPE WAREHOUSE ORDER PICKING SOFTWARE MARKET, BY TYPE (2016-2028)
TABLE 021. EUROPE WAREHOUSE ORDER PICKING SOFTWARE MARKET, BY APPLICATION (2016-2028)
TABLE 022. WAREHOUSE ORDER PICKING SOFTWARE MARKET, BY COUNTRY (2016-2028)
TABLE 023. ASIA PACIFIC WAREHOUSE ORDER PICKING SOFTWARE MARKET, BY TYPE (2016-2028)
TABLE 024. ASIA PACIFIC WAREHOUSE ORDER PICKING SOFTWARE MARKET, BY APPLICATION (2016-2028)
TABLE 025. WAREHOUSE ORDER PICKING SOFTWARE MARKET, BY COUNTRY (2016-2028)
TABLE 026. MIDDLE EAST & AFRICA WAREHOUSE ORDER PICKING SOFTWARE MARKET, BY TYPE (2016-2028)
TABLE 027. MIDDLE EAST & AFRICA WAREHOUSE ORDER PICKING SOFTWARE MARKET, BY APPLICATION (2016-2028)
TABLE 028. WAREHOUSE ORDER PICKING SOFTWARE MARKET, BY COUNTRY (2016-2028)
TABLE 029. SOUTH AMERICA WAREHOUSE ORDER PICKING SOFTWARE MARKET, BY TYPE (2016-2028)
TABLE 030. SOUTH AMERICA WAREHOUSE ORDER PICKING SOFTWARE MARKET, BY APPLICATION (2016-2028)
TABLE 031. WAREHOUSE ORDER PICKING SOFTWARE MARKET, BY COUNTRY (2016-2028)
TABLE 032. ABB: SNAPSHOT
TABLE 033. ABB: BUSINESS PERFORMANCE
TABLE 034. ABB: PRODUCT PORTFOLIO
TABLE 035. ABB: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 035. BOLTRICS: SNAPSHOT
TABLE 036. BOLTRICS: BUSINESS PERFORMANCE
TABLE 037. BOLTRICS: PRODUCT PORTFOLIO
TABLE 038. BOLTRICS: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 038. BUSINESS COMPUTER PROJECTS: SNAPSHOT
TABLE 039. BUSINESS COMPUTER PROJECTS: BUSINESS PERFORMANCE
TABLE 040. BUSINESS COMPUTER PROJECTS: PRODUCT PORTFOLIO
TABLE 041. BUSINESS COMPUTER PROJECTS: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 041. BARCODING: SNAPSHOT
TABLE 042. BARCODING: BUSINESS PERFORMANCE
TABLE 043. BARCODING: PRODUCT PORTFOLIO
TABLE 044. BARCODING: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 044. SOUTHWEST SOLUTIONS GROUP: SNAPSHOT
TABLE 045. SOUTHWEST SOLUTIONS GROUP: BUSINESS PERFORMANCE
TABLE 046. SOUTHWEST SOLUTIONS GROUP: PRODUCT PORTFOLIO
TABLE 047. SOUTHWEST SOLUTIONS GROUP: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 047. CIRRUS TECH: SNAPSHOT
TABLE 048. CIRRUS TECH: BUSINESS PERFORMANCE
TABLE 049. CIRRUS TECH: PRODUCT PORTFOLIO
TABLE 050. CIRRUS TECH: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 050. SCANDIT: SNAPSHOT
TABLE 051. SCANDIT: BUSINESS PERFORMANCE
TABLE 052. SCANDIT: PRODUCT PORTFOLIO
TABLE 053. SCANDIT: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 053. BASTIAN SOLUTIONS: SNAPSHOT
TABLE 054. BASTIAN SOLUTIONS: BUSINESS PERFORMANCE
TABLE 055. BASTIAN SOLUTIONS: PRODUCT PORTFOLIO
TABLE 056. BASTIAN SOLUTIONS: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 056. ZETES: SNAPSHOT
TABLE 057. ZETES: BUSINESS PERFORMANCE
TABLE 058. ZETES: PRODUCT PORTFOLIO
TABLE 059. ZETES: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 059. MATTHEWS INTERNATIONAL CORPORATION: SNAPSHOT
TABLE 060. MATTHEWS INTERNATIONAL CORPORATION: BUSINESS PERFORMANCE
TABLE 061. MATTHEWS INTERNATIONAL CORPORATION: PRODUCT PORTFOLIO
TABLE 062. MATTHEWS INTERNATIONAL CORPORATION: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 062. PROCAT: SNAPSHOT
TABLE 063. PROCAT: BUSINESS PERFORMANCE
TABLE 064. PROCAT: PRODUCT PORTFOLIO
TABLE 065. PROCAT: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 065. MECALUX: SNAPSHOT
TABLE 066. MECALUX: BUSINESS PERFORMANCE
TABLE 067. MECALUX: PRODUCT PORTFOLIO
TABLE 068. MECALUX: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 068. FINALE INVENTORY: SNAPSHOT
TABLE 069. FINALE INVENTORY: BUSINESS PERFORMANCE
TABLE 070. FINALE INVENTORY: PRODUCT PORTFOLIO
TABLE 071. FINALE INVENTORY: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 071. ICEPTS TECHNOLOGY GROUP，INC.: SNAPSHOT
TABLE 072. ICEPTS TECHNOLOGY GROUP，INC.: BUSINESS PERFORMANCE
TABLE 073. ICEPTS TECHNOLOGY GROUP，INC.: PRODUCT PORTFOLIO
TABLE 074. ICEPTS TECHNOLOGY GROUP，INC.: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 074. ZEBRA: SNAPSHOT
TABLE 075. ZEBRA: BUSINESS PERFORMANCE
TABLE 076. ZEBRA: PRODUCT PORTFOLIO
TABLE 077. ZEBRA: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 077. LYDIA: SNAPSHOT
TABLE 078. LYDIA: BUSINESS PERFORMANCE
TABLE 079. LYDIA: PRODUCT PORTFOLIO
TABLE 080. LYDIA: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 080. KHAOS CONTROL: SNAPSHOT
TABLE 081. KHAOS CONTROL: BUSINESS PERFORMANCE
TABLE 082. KHAOS CONTROL: PRODUCT PORTFOLIO
TABLE 083. KHAOS CONTROL: KEY STRATEGIC MOVES AND DEVELOPMENTS

LIST OF FIGURES

FIGURE 001. YEARS CONSIDERED FOR ANALYSIS
FIGURE 002. SCOPE OF THE STUDY
FIGURE 003. WAREHOUSE ORDER PICKING SOFTWARE MARKET OVERVIEW BY REGIONS
FIGURE 004. PORTER'S FIVE FORCES ANALYSIS
FIGURE 005. BARGAINING POWER OF SUPPLIERS
FIGURE 006. COMPETITIVE RIVALRYFIGURE 007. THREAT OF NEW ENTRANTS
FIGURE 008. THREAT OF SUBSTITUTES
FIGURE 009. VALUE CHAIN ANALYSIS
FIGURE 010. PESTLE ANALYSIS
FIGURE 011. WAREHOUSE ORDER PICKING SOFTWARE MARKET OVERVIEW BY TYPE
FIGURE 012. VOICE PICKING SOFTWARE MARKET OVERVIEW (2016-2028)
FIGURE 013. VISION-GUIDED PICKING SOFTWARE MARKET OVERVIEW (2016-2028)
FIGURE 014. WAREHOUSE ORDER PICKING SOFTWARE MARKET OVERVIEW BY APPLICATION
FIGURE 015. FOOD AND BEVERAGES MARKET OVERVIEW (2016-2028)
FIGURE 016. CONSUMER GOODS MARKET OVERVIEW (2016-2028)
FIGURE 017. RETAIL AND E-COMMERCE MARKET OVERVIEW (2016-2028)
FIGURE 018. OTHERS (MANUFACTURING MARKET OVERVIEW (2016-2028)
FIGURE 019. HEALTHCARE MARKET OVERVIEW (2016-2028)
FIGURE 020. ETC.) MARKET OVERVIEW (2016-2028)
FIGURE 021. NORTH AMERICA WAREHOUSE ORDER PICKING SOFTWARE MARKET OVERVIEW BY COUNTRY (2016-2028)
FIGURE 022. EUROPE WAREHOUSE ORDER PICKING SOFTWARE MARKET OVERVIEW BY COUNTRY (2016-2028)
FIGURE 023. ASIA PACIFIC WAREHOUSE ORDER PICKING SOFTWARE MARKET OVERVIEW BY COUNTRY (2016-2028)
FIGURE 024. MIDDLE EAST & AFRICA WAREHOUSE ORDER PICKING SOFTWARE MARKET OVERVIEW BY COUNTRY (2016-2028)
FIGURE 025. SOUTH AMERICA WAREHOUSE ORDER PICKING SOFTWARE MARKET OVERVIEW BY COUNTRY (2016-2028)