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Global Goods-to-Person (G2P) Picking System Market Strategic Research Report

Global Goods-to-Person (G2P) Picking System Market Strategic…
$3,500 USD
Market Research Reports
Strategic Research Report
Global Goods-to-Person (G2P) Picking System Market
$6442025
21.2%CAGR
2032Forecast
Market Research Reports · Global
Market Research Reports Intelligence Series

By Type: Forklift Type, Latent Type, Material Box Type

By Application: Retail, Shoes and Clothing, Medicine, 3PL, New Energy, 3C Electronics, Automobile

Regional Forecast: Asia Pacific, Latin America, MEA, Europe, North America

Key Players: GreyOrange, LogTech, Beijing Geekplus Technology, Shenzhen Hai Robotics, Zhejiang Guozi Robotics, Hikrobot Co., Ltd, Wuxi Quicktron Intelligent Technology, Suzhou Mushiny, Guangzhou GAITEK, Hefei Jingsong Intelligent Technology, Zhejiang Zoneyung Automatic Warehouse Technology, ForwardX Robotics, Nanjing ZCNEST Robotics, Beijing Megvii Robotics, Zhejiang Galaxis Technology

Region: Global
Formats: PDF, Excel, Word & PowerPoint
Base year: 2025 · forecast to 2032
Length: 120 pages
Market size 2025
$644
Million USD
Forecast CAGR
21.2%
2025-2032
Forecast 2032
$2474
Projected
リージョン
5
Asia Pacific · Latin America · MEA · Europe · North America

概観

Scope of the Report

The global Goods-to-Person (G2P) Picking System market size is predicted to grow from US$ 644 million in 2025 to US$ 2,248 million in 2032; it is expected to grow at a CAGR of 21.2% from 2026 to 2032.

Goods-to-person picking systems represent a significant evolution of "goods-to-person" picking technology. Unlike the traditional "person-to-goods" model, where workers must navigate between shelves to find products, this system uses automated equipment to transport boxes containing goods directly from the automated warehouse to fixed picking workstations. Operators simply wait at their workstations for the boxes to arrive and then pick them. This model fundamentally eliminates the significant time wasted by workers walking aimlessly within the warehouse, concentrating human resources on the core picking operations. In terms of system composition, a typical goods-to-person picking system usually consists of core modules such as high-density automated racking, storage and retrieval robots (e.g., shuttles and elevators), automated guided vehicles (AMRs), conveyor lines, and intelligent scheduling software.

Global key Goods-to-Person (G2P) Picking System players cover GreyOrange, LogTech, Beijing Geekplus Technology, Shenzhen Hai Robotics, Zhejiang Guozi Robotics, etc.

This report presents a comprehensive overview of the global Goods-to-Person (G2P) Picking System market, covering market size and forecast, segmentation by product type and application, competitive landscape, leading players and regional and country-level outlook.

Segment by Type

  • Forklift Type
  • Latent Type
  • Material Box Type

Segment by Load Capacity

  • Below 50 kg
  • 50 kg-200 kg
  • Above 200 kg

Segment by Application

  • Retail
  • Shoes and Clothing
  • Medicine
  • 3PL
  • New Energy
  • 3C Electronics
  • Automobile

Who Can Use This Report?

This report is written for decision-makers who need a clear, data-backed view of the global Goods-to-Person (G2P) Picking System market:

  • Manufacturers, suppliers and solution providers benchmarking their position and planning product, capacity and go-to-market strategy
  • Distributors, channel partners and end users in Retail, Shoes and Clothing, Medicine evaluating demand and sourcing options
  • Investors, financial analysts and consultants assessing growth opportunities, competitive dynamics and M&A potential
  • Government agencies, industry associations and research institutions tracking industry developments and policy impact

Market snapshot

Global Goods-to-Person (G2P) Picking System Market Strategic Research Report snapshot, 2025–2032

Source: Market Research Reports
Market size CAGR 21.2%
Regional growth momentum
Market share by segment
Key metrics
Base value
$644
2025
Forecast
$2474
2032
CAGR
21.2%
2025–2032
リージョン
5
global
Key companies
GreyOrangeLogTechBeijing Geekplus TechnologyShenzhen Hai RoboticsZhejiang Guozi RoboticsHikrobot Co., LtdWuxi Quicktron Intelligent TechnologySuzhou Mushiny
© MarketResearchReports.comDisclaimer: The actual data may vary in the final report which undergoes verification check post order confirmation.

Segments covered in this report

By Type
Forklift TypeLatent TypeMaterial Box Type
By Application
RetailShoes and ClothingMedicine3PLNew Energy3C ElectronicsAutomobile

Table of contents

Click a chapter to expand
01Executive Summary
02Industry Overview & Forecast
  • 2.1.1 Market Definition and Scope
  • 2.1.2 Market Size and Growth Forecast
  • 2.1.3 Volume Analysis
  • 2.1.4 Segment Outlook by Type
  • 2.1.5 Segment Outlook by Application
  • 2.1.6 Regional Outlook
  • 2.1.7 Structural Developments Shaping the Forecast
  • 2.1.8 Forecast Risks and Sensitivities
03Market Segmentation by Type
  • 3.1 Market Segmentation by Type
  • 3.1.1 Market by Type Overview
  • 3.1.2 Forklift Type
  • 3.1.3 Latent Type
  • 3.1.4 Material Box Type
  • 3.1.5 Volume Analysis
04Market Segmentation by Application
  • 4.1 Market Segmentation by Application
  • 4.1.1 Market by Application Overview
  • 4.1.2 Retail
  • 4.1.3 Shoes and Clothing
  • 4.1.4 Medicine
  • 4.1.5 3PL
  • 4.1.6 New Energy
  • 4.1.7 3C Electronics
  • 4.1.8 Automobile
  • 4.1.9 Volume Analysis
05Regional Market Forecast
  • Asia Pacific
  • North America
  • Europe
  • Middle East & Africa
  • Latin America
06Country-Level Market Forecast
  • 6.1 Asia Pacific
  • 6.1.1 China
  • 6.1.2 Japan
  • 6.1.3 Korea
  • 6.1.4 Southeast Asia
  • 6.1.5 India
  • 6.1.6 Australia
  • 6.1.7 Rest of Asia Pacific
  • 6.2 North America
  • 6.2.1 United States
  • 6.2.2 Canada
  • 6.2.3 Mexico
  • 6.2.4 Rest of North America
  • 6.3 Europe
  • 6.3.1 Germany
  • 6.3.2 France
  • 6.3.3 UK
  • 6.3.4 Italy
  • 6.3.5 Russia
  • 6.3.6 Rest of Europe
  • 6.4 Middle East & Africa
  • 6.4.1 Egypt
  • 6.4.2 South Africa
  • 6.4.3 Israel
  • 6.4.4 Turkey
  • 6.4.5 GCC Countries
  • 6.4.6 Rest of Middle East & Africa
  • 6.5 Latin America
  • 6.5.1 Brazil
  • 6.5.2 Rest of Latin America
07Growth Drivers & Inhibitors
  • 7.1 Growth Drivers & Inhibitors
  • 7.1.1 Section Overview
  • 7.1.2 Growth Drivers
  • 7.1.3 Growth Inhibitors
  • 7.1.4 Driver and Inhibitor Impact Assessment
  • 7.1.5 Analyst Perspective
08Key Company Profiles
  • 8.1 GreyOrange
  • 8.1.1 Company Overview
  • 8.1.2 Key Products & Segments
  • 8.1.3 Financial Performance (2023–2025)
  • 8.1.4 Business Strategy
  • 8.1.5 SWOT Analysis
  • 8.1.6 Strategic Implications (2026–2032)
  • 8.2 LogTech
  • 8.2.1 Company Overview
  • 8.2.2 Key Products & Segments
  • 8.2.3 Financial Performance (2023–2025)
  • 8.2.4 Business Strategy
  • 8.2.5 SWOT Analysis
  • 8.2.6 Strategic Implications (2026–2032)
  • 8.3 Beijing Geekplus Technology
  • 8.3.1 Company Overview
  • 8.3.2 Key Products & Segments
  • 8.3.3 Financial Performance (2023–2025)
  • 8.3.4 Business Strategy
  • 8.3.5 SWOT Analysis
  • 8.3.6 Strategic Implications (2026–2032)
  • 8.4 Shenzhen Hai Robotics
  • 8.4.1 Company Overview
  • 8.4.2 Key Products & Segments
  • 8.4.3 Financial Performance (2023–2025)
  • 8.4.4 Business Strategy
  • 8.4.5 SWOT Analysis
  • 8.4.6 Strategic Implications (2026–2032)
  • 8.5 Zhejiang Guozi Robotics
  • 8.5.1 Company Overview
  • 8.5.2 Key Products & Segments
  • 8.5.3 Financial Performance (2023–2025)
  • 8.5.4 Business Strategy
  • 8.5.5 SWOT Analysis
  • 8.5.6 Strategic Implications (2026–2032)
  • 8.6 Hikrobot Co., Ltd
  • 8.6.1 Company Overview
  • 8.6.2 Key Products & Segments
  • 8.6.3 Financial Performance (2023–2025)
  • 8.6.4 Business Strategy
  • 8.6.5 SWOT Analysis
  • 8.6.6 Strategic Implications (2026–2032)
  • 8.7 Wuxi Quicktron Intelligent Technology
  • 8.7.1 Company Overview
  • 8.7.2 Key Products & Segments
  • 8.7.3 Financial Performance (2023–2025)
  • 8.7.4 Business Strategy
  • 8.7.5 SWOT Analysis
  • 8.7.6 Strategic Implications (2026–2032)
  • 8.8 Suzhou Mushiny
  • 8.8.1 Company Overview
  • 8.8.2 Key Products & Segments
  • 8.8.3 Financial Performance (2023–2025)
  • 8.8.4 Business Strategy
  • 8.8.5 SWOT Analysis
  • 8.8.6 Strategic Implications (2026–2032)
  • 8.9 Guangzhou GAITEK
  • 8.9.1 Company Overview
  • 8.9.2 Key Products & Segments
  • 8.9.3 Financial Performance (2023–2025)
  • 8.9.4 Business Strategy
  • 8.9.5 SWOT Analysis
  • 8.9.6 Strategic Implications (2026–2032)
  • 8.10 Hefei Jingsong Intelligent Technology
  • 8.10.1 Company Overview
  • 8.10.2 Key Products & Segments
  • 8.10.3 Financial Performance (2023–2025)
  • 8.10.4 Business Strategy
  • 8.10.5 SWOT Analysis
  • 8.10.6 Strategic Implications (2026–2032)
  • 8.11 Zhejiang Zoneyung Automatic Warehouse Technology
  • 8.11.1 Company Overview
  • 8.11.2 Key Products & Segments
  • 8.11.3 Financial Performance (2023–2025)
  • 8.11.4 Business Strategy
  • 8.11.5 SWOT Analysis
  • 8.11.6 Strategic Implications (2026–2032)
  • 8.12 ForwardX Robotics
  • 8.12.1 Company Overview
  • 8.12.2 Key Products & Segments
  • 8.12.3 Financial Performance (2023–2025)
  • 8.12.4 Business Strategy
  • 8.12.5 SWOT Analysis
  • 8.12.6 Strategic Implications (2026–2032)
  • 8.13 Nanjing ZCNEST Robotics
  • 8.13.1 Company Overview
  • 8.13.2 Key Products & Segments
  • 8.13.3 Financial Performance (2023–2025)
  • 8.13.4 Business Strategy
  • 8.13.5 SWOT Analysis
  • 8.13.6 Strategic Implications (2026–2032)
  • 8.14 Beijing Megvii Robotics
  • 8.14.1 Company Overview
  • 8.14.2 Key Products & Segments
  • 8.14.3 Financial Performance (2023–2025)
  • 8.14.4 Business Strategy
  • 8.14.5 SWOT Analysis
  • 8.14.6 Strategic Implications (2026–2032)
  • 8.15 Zhejiang Galaxis Technology
  • 8.15.1 Company Overview
  • 8.15.2 Key Products & Segments
  • 8.15.3 Financial Performance (2023–2025)
  • 8.15.4 Business Strategy
  • 8.15.5 SWOT Analysis
  • 8.15.6 Strategic Implications (2026–2032)
09Competitive Landscape
  • 9.1 Competitive Landscape Overview
  • 9.2 Competitive Intensity Assessment
  • 9.3 Key Player Strategies & Positioning
  • 9.4 Competitive Dynamics & Strategic Outlook
  • 9.4.1 Emerging Competitive Threats
  • 9.4.2 Consolidation vs. Fragmentation Outlook
  • 9.4.3 Competitive Response Matrix
  • 9.4.4 Strategic Recommendations, 2026–2032
10Porter's Five Forces Analysis
  • 10.1 Threat of New Entrants
  • 10.2 Bargaining Power of Buyers
  • 10.3 Bargaining Power of Suppliers
  • 10.4 Threat of Substitutes
  • 10.5 Competitive Rivalry
11PESTLE Analysis
  • 11.1 Political
  • 11.2 Economic
  • 11.3 Social and Demographic
  • 11.4 Technological
  • 11.5 Legal and Regulatory
  • 11.6 Environmental
  • 11.7 Strategic Implications of the PESTLE Assessment
12SWOT Analysis
13Future Trends & Outlook
  • 13.1 Future Trends & Outlook
  • 13.1.1 Trend Summary and Commercial Maturity Assessment
  • 13.1.2 Technology and Innovation Trends
  • 13.1.3 Long-Term Market Outlook
  • 13.1.4 Investment & M&A Activity Outlook
  • 13.1.5 Overall Outlook Assessment

Frequently asked questions

What is the current global Goods-to-Person (G2P) Picking System market size?
The global Goods-to-Person (G2P) Picking System market is estimated at US$ 644 million in 2025 (base year) and is projected to reach US$ 2.25 billion by 2032.
What growth rate is expected for the Goods-to-Person (G2P) Picking System market through 2032?
The market is expected to grow at a CAGR of 21.2% from 2026 to 2032, expanding from US$ 644 million in 2025 to US$ 2.25 billion in 2032, roughly 3.5 times its base-year value.
How is Goods-to-Person (G2P) Picking System defined?
Goods-to-person picking systems represent a significant evolution of "goods-to-person" picking technology. Unlike the traditional "person-to-goods" model, where workers must navigate between shelves to find products, this system uses automated equipment to transport boxes containing goods directly from the automated warehouse to fixed picking workstations. Operators simply wait at their workstations for the boxes to arrive and then pick them.
What are the main segments of the Goods-to-Person (G2P) Picking System market by type?
By type, the market is segmented into Forklift Type, Latent Type and Material Box Type.
Which applications drive demand in the Goods-to-Person (G2P) Picking System market?
Key applications covered include Retail, Shoes and Clothing, Medicine, 3PL, New Energy, 3C Electronics and Automobile.
Who are the key players in the Goods-to-Person (G2P) Picking System market?
Key players profiled include GreyOrange, LogTech, Beijing Geekplus Technology, Shenzhen Hai Robotics, Zhejiang Guozi Robotics, Hikrobot Co., Wuxi Quicktron Intelligent Technology and Suzhou Mushiny, among 15 companies covered in total.
Which regions and countries are covered for Goods-to-Person (G2P) Picking System?
The market is analysed across Asia Pacific, North America, Europe, Middle East & Africa and Latin America, with 20 country-level markets including China, Japan, United States, Canada, Germany, France, Egypt and South Africa.
Who should buy the Goods-to-Person (G2P) Picking System market report?
The report is intended for manufacturers and solution providers, distributors and end users in Retail, Shoes and Clothing and Medicine, investors and consultants, and government or industry bodies who need market size, segmentation, competitive and regional data for the Goods-to-Person (G2P) Picking System market.
What license options are available for this report?
The report is available as a Single User License (US$ 3,500, one named user), a Site License (US$ 5,250, up to 10 users) and a Global / Corporate License (US$ 7,000, unlimited users), all delivered in PDF format.

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