Industry Research Reports
Global Goods-to-Person Picking Solution Market Outlook, In‑Depth Analysis & Forecast to 2031
Industry: Machinery & Equipment
Published Date: 2025-11-02
Pages: 180 Pages
Report ld: 5359834
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Goods-to-Person Picking Solution Market Size(US$)
CAGR 2025-2031
7.8%
Market Size,2031
USD 24,140
Million
Market Snapshot
Source: Secondary research, interviews with experts, and QYResearch analysis
The global Goods-to-Person Picking Solution market is projected to grow from US$ 14370 million in 2024 to US$ 24140 million by 2031, at a CAGR of 7.8% (2025-2031), driven by critical product segments and diverse end‑use applications, while evolving U.S. tariff policies introduce trade‑cost volatility and supply‑chain uncertainty.
Goods-to-Person Picking (GTP) is a system that automatically supplies a stock container and an order collection container to a worker. The operator only has to follow the instructions on the display and pick the required quantity from the supplied inventory containers to the order collection container.
The goods-to-person picking solution market growth is being driven by the increasing demand for e-commerce, the need for improved warehouse efficiency, and the rising adoption of automation in warehouses.
E-commerce is growing rapidly and is expected to continue to grow in the coming years. This growth is driving the demand for goods-to-person picking solutions, as e-commerce retailers need to be able to efficiently pick and pack orders to meet the demands of their customers.
The need for improved warehouse efficiency is also driving the growth of the goods-to-person picking solution market. Warehouses are under increasing pressure to operate more efficiently in order to reduce costs and improve customer service. Goods-to-person picking solutions can help warehouses to improve efficiency by reducing the time it takes to pick and pack orders.
The rising adoption of automation in warehouses is also driving the growth of the goods-to-person picking solution market. Goods-to-person picking solutions are often used in conjunction with other automation technologies, such as conveyor systems and robotic picking systems. This combination of technologies can help warehouses to achieve even greater levels of efficiency.
North America is expected to be the largest market for goods-to-person picking solutions during the forecast period. This is due to the presence of a large number of e-commerce and retail companies in the region. Europe is also expected to be a major market for goods-to-person picking solutions during the forecast period. This is due to the rising adoption of automation in warehouses in the region.
Report Includes:
This definitive report equips business leaders, decision-makers and stakeholders with a 360° view of the global Goods-to-Person Picking Solution market, seamlessly integrating production capacity and sales performance across the value chain. It analyzes historical production, revenue, and sales data (2020–2024) and delivers forecasts through 2031, illuminating demand trends and growth drivers.
By segmenting the market by Type and by Application, the study quantifies volume and value, growth rates, technical innovations, niche opportunities, and substitution risks, and analyzes downstream customers distribution pattern.
Granular regional insights cover five major markets—North America, Europe, APAC, South America, and MEA—with in‑depth analysis of 20+ countries. Each region’s dominant products, competitive landscape, and downstream demand trends are clearly detailed.
Critical competitive intelligence profiles manufacturers—capacity, sales volume, revenue, margins, pricing strategies, and major customers—and dissects the top-player positioning across product lines, applications, and regions to reveal strategic strengths.
A concise supply‑chain overview maps upstream suppliers, manufacturing technologies, cost structures, and distribution dynamics to identify strategic gaps and unmet demand.
MARKET SEGMENTATION
By Company
- Dematic
- Bastian Solutions
- Swisslog
- Daifuku
- Murata Machinery
- SSI SCHAEFER
- Knapp
- Mecalux
- Warehouse Automation
- Honeywell
- Cisco-Eagle
- Fortna
- Shanghai Flux Information Technology Co Ltd
- JD Logistics
- Hai Robotics
- Savoye
- Conveyco
- Vanderlande
Consumption by Region
- North America
- United States
- Canada
- Asia-Pacific
- China
- Japan
- South Korea
- Southeast Asia
- India
- Australia
- Rest of Asia-Pacific
- Europe
- Germany
- France
- U.K.
- Italy
- Netherlands
- Nordic Countries
- Rest of Europe
- Latin America
- Mexico
- Brazil
- Rest of Latin America
- Middle East & Africa
- Turkey
- Saudi Arabia
- UAE
- Rest of MEA
Segment by Type
- Pick to Light System
- Automatic Storage and Retrieval System (ASRS)
- Others
Segment by Application
- Assembly and Manufacturing
- Retail and E-Commerce
- Pharma and Cosmetics
- Food and Beverages
- Others
CHAPTER OUTLINE
Chapter 1: Defines the Goods-to-Person Picking Solution study scope, segments the market by Type and by Application, etc, highlights segment size and growth potential.
Chapter 2: Offers current market state, projects global revenue and sales to 2031, pinpointing high consumption regions and emerging market catalysts
Chapter 3: Maps global production capacity, utilization, and market share (2020–2031), identifies efficient hubs, reveals regulatory/trade policy impacts and bottlenecks.
Chapter 4: Dissects the manufacturer landscape—ranks by volume and revenue, analyzes profitability and pricing, maps production bases, details manufacturer performance by product type and evaluates concentration alongside M&A moves.
Chapter 5: Unlocks high margin product segments—compares sales, revenue, ASP, and technology differentiators, highlighting growth niches and substitution risks
Chapter 6: Targets downstream market opportunities—evaluates sales, revenue, and pricing by Application, identifies emerging use cases, and profiles leading customers by region and by Application.
Chapter 7: North America—breaks down sales and revenue by Type, by Application and country, profiles key manufacturers and assesses growth drivers and barriers.
Chapter 8: Europe—analyses regional sales, revenue and market by Type, by Application and manufacturers, flagging drivers and barriers.
Chapter 9: Asia Pacific—quantifies sales and revenue by Type, by Application, and region/country, profiles top manufacturers, and uncovers high potential expansion areas.
Chapter 10: Central & South America—measures sales and revenue by Type, by Application, and country, profiles top manufacturers, and identifies investment opportunities and challenges.
Chapter 11: Middle East and Africa—evaluates sales and revenue by Type, by Application, and country, profiles key manufacturers, and outlines investment prospects and market hurdles
Chapter 12: Profiles manufacturers in depth—details product specs, capacity, sales, revenue, margins; top manufactures 2024 sales breakdowns by product type, by Application, by sales region SWOT analysis, and recent strategic developments.
Chapter 13: Supply chain—analyses upstream raw materials and suppliers, manufacturing footprint and technology, cost drivers, plus downstream channels and distributor roles.
Chapter 14: Market dynamics—explores drivers, restraints, regulatory impacts, and risk mitigation strategies.
Chapter 15: Actionable conclusions and strategic recommendations.
WHY THIS REPORT
Beyond standard market data, this analysis provides a clear profitability roadmap, empowering you to:
Beyond standard market data, this analysis provides a clear profitability roadmap—empowering you to:
Allocate capital strategically to high growth regions (Chapters 7–11) and margin rich segments (Chapter 5).
Negotiate from strength with suppliers (Chapter 13) and customers (Chapter 6) using cost and demand intelligence.
Outmaneuver competitors with granular insights into their operations, margins, and strategies (Chapters 4 and 12).
Secure your supply chain against disruptions through upstream and downstream visibility (Chapters 13 and 14).
Leverage this 360° intelligence to turn market complexity into actionable competitive advantage.
QYRESEARCH'S STRENGTHS
Unlike generic global market reports, this study combines macro-level industry trends with hyper-local operational intelligence, empowering data-driven decisions across the Compound Chocolate value chain, addressing:
We identify regional market threats and growth prospects to guide your overseas layout.
We adjust product portfolios in line with local consumption habits.
We unpack rivals’ operation strategies for scattered and highly concentrated industries.
We cover competition landscape, full supply chain and quantified market size data, and deliver tailor-made customized surveys to meet your unique business demands.
We own self-owned massive exclusive databases, backed by 19 years of global market research experience across thousands of sectors.
Our team operates 24 hours a day, 365 days a year, enabling ultra-fast report turnaround to respond to your research needs efficiently.
We integrate regional risk assessment, localized product optimization and competitor analysis to deliver actionable market strategies.
All data is cross-verified from multiple industry sources to deliver thorough, precise analysis that supports reliable corporate strategic decisions.
We provide responsive, dedicated after-sales support to resolve all follow-up inquiries about reports, data and industry interpretation.
TABLE OF CONTENTS
1 Study Coverage
1.1 Introduction to Goods-to-Person Picking Solution: Definition, Properties, and Key Attributes
1.2 Market Segmentation by Type
1.2.1 Global Goods-to-Person Picking Solution Market Size by Type, 2020 VS 2024 VS 2031
1.2.2 Pick to Light System
1.2.3 Automatic Storage and Retrieval System (ASRS)
1.2.4 Others
1.3 Market Segmentation by Application
1.3.1 Global Goods-to-Person Picking Solution Market Size by Application, 2020 VS 2024 VS 2031
1.3.2 Assembly and Manufacturing
1.3.3 Retail and E-Commerce
1.3.4 Pharma and Cosmetics
1.3.5 Food and Beverages
1.3.6 Others
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Executive Summary
2.1 Global Goods-to-Person Picking Solution Revenue Estimates and Forecasts 2020-2031
2.2 Global Goods-to-Person Picking Solution Revenue by Region
2.2.1 Revenue Comparison: 2020 VS 2024 VS 2031
2.2.2 Historical and Forecasted Revenue by Region (2020--2031)
2.2.3 Global Revenue Market Share by Region (2020-2031)
2.3 Global Goods-to-Person Picking Solution Sales Estimates and Forecasts 2020-2031
2.4 Global Goods-to-Person Picking Solution Sales by Region
2.4.1 Sales Comparison: 2020 VS 2024 VS 2031
2.4.2 Historical and Forecasted Sales by Region (2020-2031)
2.4.3 Emerging Market Focus: Growth Drivers & Investment Trends
2.4.4 Global Sales Market Share by Region (2020-2031)
3 Global Production Analysis
3.1 Global Goods-to-Person Picking Solution Production Capacity and Utilization Rates (2020–2031)
3.2 Regional Production: Comparative Analysis (2020 VS 2024 VS 2031)
3.3 Regional Production Dynamics
3.3.1 Historic Production by Region (2020-2025)
3.3.2 Forecasted Production by Region (2026-2031)
3.3.3 Production Market Share by Region (2020-2031)
3.3.4 Regulatory and Trade Policy Impact on Production
3.3.5 Production Capacity Enablers and Constraints
3.4 Key Regional Production Hubs
3.4.1 North America
3.4.2 Europe
3.4.3 China
3.4.4 Japan
4 Competition by Manufacturers
4.1 Global Goods-to-Person Picking Solution Sales by Manufacturers
4.1.1 Global Sales Volume by Manufacturers (2020-2025)
4.1.2 Global Top 5 and Top 10 Manufacturers’Market Share by Sales Volume (2024)
4.2 Global Goods-to-Person Picking Solution Manufacturer Revenue Rankings and Tiers
4.2.1 Global Revenue (Value) by Manufacturers (2020-2025)
4.2.2 Global Key Manufacturer Revenue Ranking (2023 vs. 2024)
4.2.3 Revenue-Based Tier Segmentation (Tier 1, Tier 2, and Tier 3)
4.3 Manufacturer Profitability Profiles and Pricing Strategies
4.3.1 Gross Margin by Top Manufacturer (2020 VS 2024)
4.3.2 Manufacturer-Level Price Trends (2020-2025)
4.4 Key Manufacturers Manufacturing Base and Headquarters
4.5 Main Product Type Market Size by Manufacturers
4.5.1 Pick to Light System Market Size by Manufacturers
4.5.2 Automatic Storage and Retrieval System (ASRS) Market Size by Manufacturers
4.5.3 Others Market Size by Manufacturers
4.6 Global Goods-to-Person Picking Solution Market Concentration and Dynamics
4.6.1 Global Market Concentration (CR5 and HHI)
4.6.2 Entrant/Exit Impact Analysis
4.6.3 Strategic Moves: M&A, Capacity Expansion, R&D Investment
5 Global Product Segmentation Analysis
5.1 Global Goods-to-Person Picking Solution Sales Performance by Type
5.1.1 Global Historical and Forecasted Sales by Type (2020-2031)
5.1.2 Global Sales Market Share by Type (2020-2031)
5.2 Global Goods-to-Person Picking Solution Revenue Trends by Type
5.2.1 Global Historical and Forecasted Revenue by Type (2020-2031)
5.2.2 Global Revenue Market Share by Type (2020-2031)
5.3 Global Average Selling Price (ASP) Trends by Type (2020-2031)
5.4 Product Technology Differentiation
5.5 Subtype Dynamics: Growth Leaders, Profitability and Risk
5.5.1 High-Growth Niches and Adoption Drivers
5.5.2 Profitability Hotspots and Cost Drivers
5.5.3 Substitution Threats
6 Global Downstream Application Analysis
6.1 Global Goods-to-Person Picking Solution Sales by Application
6.1.1 Global Historical and Forecasted Sales by Application (2020-2031)
6.1.2 Global Sales Market Share by Application (2020-2031)
6.1.3 High-Growth Application Identification
6.1.4 Emerging Application Case Studies
6.2 Global Goods-to-Person Picking Solution Revenue by Application
6.2.1 Global Historical and Forecasted Revenue by Application (2020-2031)
6.2.2 Revenue Market Share by Application (2020-2031)
6.3 Global Pricing Dynamics by Application (2020-2031)
6.4 Downstream Customer Analysis
6.4.1 Top Customers by Region
6.4.2 Top Customers by Application
7 North America
7.1 North America Sales Volume and Revenue (2020-2031)
7.2 North America Key Manufacturers Sales Revenue in 2024
7.3 North America Goods-to-Person Picking Solution Sales and Revenue by Type (2020-2031)
7.4 North America Goods-to-Person Picking Solution Sales and Revenue by Application (2020-2031)
7.5 North America Growth Accelerators and Market Barriers
7.6 North America Goods-to-Person Picking Solution Market Size by Country
7.6.1 North America Revenue by Country
7.6.2 North America Sales Trends by Country
7.6.3 US
7.6.4 Canada
7.6.5 Mexico
8 Europe
8.1 Europe Sales Volume and Revenue (2020-2031)
8.2 Europe Key Manufacturers Sales Revenue in 2024
8.3 Europe Goods-to-Person Picking Solution Sales and Revenue by Type (2020-2031)
8.4 Europe Goods-to-Person Picking Solution Sales and Revenue by Application (2020-2031)
8.5 Europe Growth Accelerators and Market Barriers
8.6 Europe Goods-to-Person Picking Solution Market Size by Country
8.6.1 Europe Revenue by Country
8.6.2 Europe Sales Trends by Country
8.6.3 Germany
8.6.4 France
8.6.5 U.K.
8.6.6 Italy
8.6.7 Russia
9 Asia-Pacific
9.1 Asia-Pacific Sales Volume and Revenue (2020-2031)
9.2 Asia-Pacific Key Manufacturers Sales Revenue in 2024
9.3 Asia-Pacific Goods-to-Person Picking Solution Sales and Revenue by Type (2020-2031)
9.4 Asia-Pacific Goods-to-Person Picking Solution Sales and Revenue by Application (2020-2031)
9.5 Asia-Pacific Goods-to-Person Picking Solution Market Size by Region
9.5.1 Asia-Pacific Revenue by Region
9.5.2 Asia-Pacific Sales Trends by Region
9.6 Asia-Pacific Growth Accelerators and Market Barriers
9.7 Southeast Asia
9.7.1 Southeast Asia Revenue by Country (2020 VS 2024 VS 2031)
9.7.2 Key Country Analysis: Indonesia, Vietnam, Thailand
9.8 China
9.9 Japan
9.10 South Korea
9.11 China Taiwan
9.12 India
10 Central and South America
10.1 Central and South America Sales Volume and Revenue (2020-2031)
10.2 Central and South America Key Manufacturers Sales Revenue in 2024
10.3 Central and South America Goods-to-Person Picking Solution Sales and Revenue by Type (2020-2031)
10.4 Central and South America Goods-to-Person Picking Solution Sales and Revenue by Application (2020-2031)
10.5 Central and South America Investment Opportunities and Key Challenges
10.6 Central and South America Goods-to-Person Picking Solution Market Size by Country
10.6.1 Central and South America Revenue Trends by Country (2020 VS 2024 VS 2031)
10.6.2 Brazil
10.6.3 Argentina
11 Middle East and Africa
11.1 Middle East and Africa Sales Volume and Revenue (2020-2031)
11.2 Middle East and Africa Key Manufacturers Sales Revenue in 2024
11.3 Middle East and Africa Goods-to-Person Picking Solution Sales and Revenue by Type (2020-2031)
11.4 Middle East and Africa Goods-to-Person Picking Solution Sales and Revenue by Application (2020-2031)
11.5 Middle East and Africa Investment Opportunities and Key Challenges
11.6 Middle East and Africa Goods-to-Person Picking Solution Market Size by Country
11.6.1 Middle East and Africa Revenue Trends by Country (2020 VS 2024 VS 2031)
11.6.2 GCC Countries
11.6.3 Turkey
11.6.4 Egypt
11.6.5 South Africa
12 Corporate Profile
12.1 Dematic
12.1.1 Dematic Corporation Information
12.1.2 Dematic Business Overview
12.1.3 Dematic Goods-to-Person Picking Solution Product Models, Descriptions and Specifications
12.1.4 Dematic Goods-to-Person Picking Solution Capacity, Sales, Price, Revenue and Gross Margin (2020-2025)
12.1.5 Dematic Goods-to-Person Picking Solution Sales by Product in 2024
12.1.6 Dematic Goods-to-Person Picking Solution Sales by Application in 2024
12.1.7 Dematic Goods-to-Person Picking Solution Sales by Geographic Area in 2024
12.1.8 Dematic Goods-to-Person Picking Solution SWOT Analysis
12.1.9 Dematic Recent Developments
12.2 Bastian Solutions
12.2.1 Bastian Solutions Corporation Information
12.2.2 Bastian Solutions Business Overview
12.2.3 Bastian Solutions Goods-to-Person Picking Solution Product Models, Descriptions and Specifications
12.2.4 Bastian Solutions Goods-to-Person Picking Solution Capacity, Sales, Price, Revenue and Gross Margin (2020-2025)
12.2.5 Bastian Solutions Goods-to-Person Picking Solution Sales by Product in 2024
12.2.6 Bastian Solutions Goods-to-Person Picking Solution Sales by Application in 2024
12.2.7 Bastian Solutions Goods-to-Person Picking Solution Sales by Geographic Area in 2024
12.2.8 Bastian Solutions Goods-to-Person Picking Solution SWOT Analysis
12.2.9 Bastian Solutions Recent Developments
12.3 Swisslog
12.3.1 Swisslog Corporation Information
12.3.2 Swisslog Business Overview
12.3.3 Swisslog Goods-to-Person Picking Solution Product Models, Descriptions and Specifications
12.3.4 Swisslog Goods-to-Person Picking Solution Capacity, Sales, Price, Revenue and Gross Margin (2020-2025)
12.3.5 Swisslog Goods-to-Person Picking Solution Sales by Product in 2024
12.3.6 Swisslog Goods-to-Person Picking Solution Sales by Application in 2024
12.3.7 Swisslog Goods-to-Person Picking Solution Sales by Geographic Area in 2024
12.3.8 Swisslog Goods-to-Person Picking Solution SWOT Analysis
12.3.9 Swisslog Recent Developments
12.4 Daifuku
12.4.1 Daifuku Corporation Information
12.4.2 Daifuku Business Overview
12.4.3 Daifuku Goods-to-Person Picking Solution Product Models, Descriptions and Specifications
12.4.4 Daifuku Goods-to-Person Picking Solution Capacity, Sales, Price, Revenue and Gross Margin (2020-2025)
12.4.5 Daifuku Goods-to-Person Picking Solution Sales by Product in 2024
12.4.6 Daifuku Goods-to-Person Picking Solution Sales by Application in 2024
12.4.7 Daifuku Goods-to-Person Picking Solution Sales by Geographic Area in 2024
12.4.8 Daifuku Goods-to-Person Picking Solution SWOT Analysis
12.4.9 Daifuku Recent Developments
12.5 Murata Machinery
12.5.1 Murata Machinery Corporation Information
12.5.2 Murata Machinery Business Overview
12.5.3 Murata Machinery Goods-to-Person Picking Solution Product Models, Descriptions and Specifications
12.5.4 Murata Machinery Goods-to-Person Picking Solution Capacity, Sales, Price, Revenue and Gross Margin (2020-2025)
12.5.5 Murata Machinery Goods-to-Person Picking Solution Sales by Product in 2024
12.5.6 Murata Machinery Goods-to-Person Picking Solution Sales by Application in 2024
12.5.7 Murata Machinery Goods-to-Person Picking Solution Sales by Geographic Area in 2024
12.5.8 Murata Machinery Goods-to-Person Picking Solution SWOT Analysis
12.5.9 Murata Machinery Recent Developments
12.6 SSI SCHAEFER
12.6.1 SSI SCHAEFER Corporation Information
12.6.2 SSI SCHAEFER Business Overview
12.6.3 SSI SCHAEFER Goods-to-Person Picking Solution Product Models, Descriptions and Specifications
12.6.4 SSI SCHAEFER Goods-to-Person Picking Solution Capacity, Sales, Price, Revenue and Gross Margin (2020-2025)
12.6.5 SSI SCHAEFER Recent Developments
12.7 Knapp
12.7.1 Knapp Corporation Information
12.7.2 Knapp Business Overview
12.7.3 Knapp Goods-to-Person Picking Solution Product Models, Descriptions and Specifications
12.7.4 Knapp Goods-to-Person Picking Solution Capacity, Sales, Price, Revenue and Gross Margin (2020-2025)
12.7.5 Knapp Recent Developments
12.8 Mecalux
12.8.1 Mecalux Corporation Information
12.8.2 Mecalux Business Overview
12.8.3 Mecalux Goods-to-Person Picking Solution Product Models, Descriptions and Specifications
12.8.4 Mecalux Goods-to-Person Picking Solution Capacity, Sales, Price, Revenue and Gross Margin (2020-2025)
12.8.5 Mecalux Recent Developments
12.9 Warehouse Automation
12.9.1 Warehouse Automation Corporation Information
12.9.2 Warehouse Automation Business Overview
12.9.3 Warehouse Automation Goods-to-Person Picking Solution Product Models, Descriptions and Specifications
12.9.4 Warehouse Automation Goods-to-Person Picking Solution Capacity, Sales, Price, Revenue and Gross Margin (2020-2025)
12.9.5 Warehouse Automation Recent Developments
12.10 Honeywell
12.10.1 Honeywell Corporation Information
12.10.2 Honeywell Business Overview
12.10.3 Honeywell Goods-to-Person Picking Solution Product Models, Descriptions and Specifications
12.10.4 Honeywell Goods-to-Person Picking Solution Capacity, Sales, Price, Revenue and Gross Margin (2020-2025)
12.10.5 Honeywell Recent Developments
12.11 Cisco-Eagle
12.11.1 Cisco-Eagle Corporation Information
12.11.2 Cisco-Eagle Business Overview
12.11.3 Cisco-Eagle Goods-to-Person Picking Solution Product Models, Descriptions and Specifications
12.11.4 Cisco-Eagle Goods-to-Person Picking Solution Capacity, Sales, Price, Revenue and Gross Margin (2020-2025)
12.11.5 Cisco-Eagle Recent Developments
12.12 Fortna
12.12.1 Fortna Corporation Information
12.12.2 Fortna Business Overview
12.12.3 Fortna Goods-to-Person Picking Solution Product Models, Descriptions and Specifications
12.12.4 Fortna Goods-to-Person Picking Solution Capacity, Sales, Price, Revenue and Gross Margin (2020-2025)
12.12.5 Fortna Recent Developments
12.13 Shanghai Flux Information Technology Co Ltd
12.13.1 Shanghai Flux Information Technology Co Ltd Corporation Information
12.13.2 Shanghai Flux Information Technology Co Ltd Business Overview
12.13.3 Shanghai Flux Information Technology Co Ltd Goods-to-Person Picking Solution Product Models, Descriptions and Specifications
12.13.4 Shanghai Flux Information Technology Co Ltd Goods-to-Person Picking Solution Capacity, Sales, Price, Revenue and Gross Margin (2020-2025)
12.13.5 Shanghai Flux Information Technology Co Ltd Recent Developments
12.14 JD Logistics
12.14.1 JD Logistics Corporation Information
12.14.2 JD Logistics Business Overview
12.14.3 JD Logistics Goods-to-Person Picking Solution Product Models, Descriptions and Specifications
12.14.4 JD Logistics Goods-to-Person Picking Solution Capacity, Sales, Price, Revenue and Gross Margin (2020-2025)
12.14.5 JD Logistics Recent Developments
12.15 Hai Robotics
12.15.1 Hai Robotics Corporation Information
12.15.2 Hai Robotics Business Overview
12.15.3 Hai Robotics Goods-to-Person Picking Solution Product Models, Descriptions and Specifications
12.15.4 Hai Robotics Goods-to-Person Picking Solution Capacity, Sales, Price, Revenue and Gross Margin (2020-2025)
12.15.5 Hai Robotics Recent Developments
12.16 Savoye
12.16.1 Savoye Corporation Information
12.16.2 Savoye Business Overview
12.16.3 Savoye Goods-to-Person Picking Solution Product Models, Descriptions and Specifications
12.16.4 Savoye Goods-to-Person Picking Solution Capacity, Sales, Price, Revenue and Gross Margin (2020-2025)
12.16.5 Savoye Recent Developments
12.17 Conveyco
12.17.1 Conveyco Corporation Information
12.17.2 Conveyco Business Overview
12.17.3 Conveyco Goods-to-Person Picking Solution Product Models, Descriptions and Specifications
12.17.4 Conveyco Goods-to-Person Picking Solution Capacity, Sales, Price, Revenue and Gross Margin (2020-2025)
12.17.5 Conveyco Recent Developments
12.18 Vanderlande
12.18.1 Vanderlande Corporation Information
12.18.2 Vanderlande Business Overview
12.18.3 Vanderlande Goods-to-Person Picking Solution Product Models, Descriptions and Specifications
12.18.4 Vanderlande Goods-to-Person Picking Solution Capacity, Sales, Price, Revenue and Gross Margin (2020-2025)
12.18.5 Vanderlande Recent Developments
13 Value Chain and Supply-Chain Analysis
13.1 Goods-to-Person Picking Solution Industry Chain
13.2 Goods-to-Person Picking Solution Upstream Materials Analysis
13.2.1 Raw Materials
13.2.2 Key Suppliers Market Share & Risk Assessment
13.3 Goods-to-Person Picking Solution Integrated Production Analysis
13.3.1 Manufacturing Footprint Analysis
13.3.2 Production Technology Overview
13.3.3 Regional Cost Drivers
13.4 Goods-to-Person Picking Solution Sales Channels and Distribution Networks
13.4.1 Sales Channels
13.4.2 Distributors
14 Goods-to-Person Picking Solution Market Dynamics
14.1 Industry Trends and Evolution
14.2 Market Growth Drivers and Emerging Opportunities
14.3 Market Challenges, Risks, and Restraints
15 Key Findings in the Global Goods-to-Person Picking Solution Study
16 Appendix
16.1 Research Methodology
16.1.1 Methodology/Research Approach
16.1.1.1 Research Programs/Design
16.1.1.2 Market Size Estimation
16.1.1.3 Market Breakdown and Data Triangulation
16.1.2 Data Source
16.1.2.1 Secondary Sources
16.1.2.2 Primary Sources
16.2 Author Details
TABLE OF FIGURES
List of Tables
List of Figures
KEY QUESTIONS ADDRESSED BY THE REPORT
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The global market for Goods-to-Person Picking Solution was estimated to be worth US$ 15380 million in 2025 and is projected to reach US$ 25830 million, growing at a CAGR of 7.8% from 2026 to 2032.
Published: 2026-06-16
Pages: 152
USD 3950.00 (Single User License)Global Goods-to-Person Picking Solution Market Research Report 2026
The global Goods-to-Person Picking Solution market was valued at US$ 15380 million in 2025 and is anticipated to reach US$ 25830 million by 2032, at a CAGR of 7.8% from 2026 to 2032.
Published: 2026-04-18
Pages: 149
USD 2900.00 (Single User License)Global Goods-to-Person Picking Solution Sales Market Report, Competitive Analysis and Regional Opportunities 2025-2031
The global Goods-to-Person Picking Solution market size was US$ 14370 million in 2024 and is forecast to a readjusted size of US$ 24140 million by 2031 with a CAGR of 7.8% during the forecast period 2025-2031.
Published: 2025-11-02
Pages: 103
USD 4250.00 (Single User License)Global Goods-to-Person Picking Solution Market Research Report 2025
The global market for Goods-to-Person Picking Solution was valued at US$ 14370 million in the year 2024 and is projected to reach a revised size of US$ 24140 million by 2031, growing at a CAGR of 7.8% during the forecast period.
Published: 2025-01-16
Pages: 113
USD 2900.00 (Single User License)Goods-to-Person Picking Solution- Global Market Share and Ranking, Overall Sales and Demand Forecast 2025-2031
The global market for Goods-to-Person Picking Solution was estimated to be worth US$ 14370 million in 2024 and is forecast to a readjusted size of US$ 24140 million by 2031 with a CAGR of 7.8% during the forecast period 2025-2031.
Published: 2025-01-13
Pages: 139
USD 3950.00 (Single User License)Goods-to-Person Picking Solution - Global Market Share and Ranking, Overall Sales and Demand Forecast 2024-2030
Goods-to-Person Picking (GTP) is a system that automatically supplies a stock container and an order collection container to a worker. The operator only has to follow the instructions on the display and pick the required quantity from the supplied inventory containers to the order collection container.
Published: 2024-01-11
Pages: 142
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REPORT COVERAGE
DESCRIPTION
OVERVIEW
MARKET SEGMENTATION
CHAPTER OUTLINE
WHY THIS REPORT
QYRESEARCH'S STRENGTHS
TABLE OF CONTENTS
TABLE OF FIGURES
RLEATED REPORTS
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