Industry: Machinery & Equipment
Published Date: 2025-11-26
Pages: 167 Pages
Report ld: 5490270
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AI-Powered Robot Picker Market Size(US$)

CAGR 2025-2031
7.2%
Market Size,2031
USD 1,792
Million
Market Snapshot
Source: Secondary research, interviews with experts, and QYResearch analysis
The global AI-Powered Robot Picker market is projected to grow from US$ 1102 million in 2024 to US$ 1792 million by 2031, at a CAGR of 7.2% (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.
AI-powered picking robots are automated picking devices integrating robotic arms, visual sensors, and deep learning algorithms. They can identify the type and posture of goods, automatically completing grasping, handling, and sorting operations. They are mainly used in e-commerce warehouses, logistics centers, and manufacturing material preparation scenarios to reduce labor costs and improve picking efficiency and accuracy. Upstream suppliers include industrial robot bodies, servo motors, reducers, 2D/3D vision cameras, sensors, end effectors, computing chips, and AI algorithm platforms; downstream suppliers are end users and operators such as e-commerce and express delivery warehouses, third-party logistics providers, manufacturing plants, and cold chain warehouses.
In 2024, the global AI-powered picking robot market had a unit price of $200,000 per unit, with sales of approximately 5,510 units and a global production capacity of 5,600-5,800 units. The industry profit margin was 20-30%.
Future Global Market Trends for AI-Powered Picking Robots
From the demand side, the global AI-powered picking robot market will continue to be driven by the rapid development of e-commerce and express delivery. Pressures on warehousing labor shortages, rising labor costs, and concerns about labor safety and stability will prompt more warehouses to transform from traditional "human-to-goods" to "goods-to-human + robot picking," leading to a steady increase in the penetration rate of picking automation.
From a technological perspective, systems will evolve from "single robotic arm + simple vision" to "multimodal perception + deep learning." Technologies such as 3D vision, adaptive gripping, hardware-software compatible fixtures, and reinforcement learning will enable robots to handle more product categories and more soft/irregularly shaped items. Simultaneously, deep integration with WMS/WCS will achieve optimized task scheduling and a closed-loop data flow throughout the entire process.
From a business model and industry landscape perspective, SaaS, pay-as-you-go billing, and Robots as a Service (RaaS) will lower the initial investment threshold for customers, benefiting small and medium-sized warehouses. Leading manufacturers will shift from "selling equipment" to "selling solutions + selling efficiency," locking in customers through long-term operation and maintenance, algorithm iteration, and data services, forming a platform-based and ecosystem-based competitive landscape.
Report Includes:
This definitive report equips business leaders, decision-makers and stakeholders with a 360° view of the global AI-Powered Robot Picker 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
CHAPTER OUTLINE
Chapter 1: Defines the AI-Powered Robot Picker 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 AI-Powered Robot Picker: Definition, Properties, and Key Attributes
1.2 Market Segmentation by Type
1.2.1 Global AI-Powered Robot Picker Market Size by Type, 2020 VS 2024 VS 2031
1.2.2 Fixed Type
1.2.3 Mobile Type
1.3 Market Segmentation by Application
1.3.1 Global AI-Powered Robot Picker Market Size by Application, 2020 VS 2024 VS 2031
1.3.2 Retail and E-Commerce
1.3.3 Medicine
1.3.4 Cosmetic
1.3.5 Electronic Product
1.3.6 Others
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Executive Summary
2.1 Global AI-Powered Robot Picker Revenue Estimates and Forecasts 2020-2031
2.2 Global AI-Powered Robot Picker 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 AI-Powered Robot Picker Sales Estimates and Forecasts 2020-2031
2.4 Global AI-Powered Robot Picker 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 AI-Powered Robot Picker 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 AI-Powered Robot Picker 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 AI-Powered Robot Picker 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 Fixed Type Market Size by Manufacturers
4.5.2 Mobile Type Market Size by Manufacturers
4.6 Global AI-Powered Robot Picker 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 AI-Powered Robot Picker 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 AI-Powered Robot Picker 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 AI-Powered Robot Picker 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 AI-Powered Robot Picker 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 AI-Powered Robot Picker Sales and Revenue by Type (2020-2031)
7.4 North America AI-Powered Robot Picker Sales and Revenue by Application (2020-2031)
7.5 North America Growth Accelerators and Market Barriers
7.6 North America AI-Powered Robot Picker 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 AI-Powered Robot Picker Sales and Revenue by Type (2020-2031)
8.4 Europe AI-Powered Robot Picker Sales and Revenue by Application (2020-2031)
8.5 Europe Growth Accelerators and Market Barriers
8.6 Europe AI-Powered Robot Picker 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 AI-Powered Robot Picker Sales and Revenue by Type (2020-2031)
9.4 Asia-Pacific AI-Powered Robot Picker Sales and Revenue by Application (2020-2031)
9.5 Asia-Pacific AI-Powered Robot Picker 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 AI-Powered Robot Picker Sales and Revenue by Type (2020-2031)
10.4 Central and South America AI-Powered Robot Picker Sales and Revenue by Application (2020-2031)
10.5 Central and South America Investment Opportunities and Key Challenges
10.6 Central and South America AI-Powered Robot Picker 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 AI-Powered Robot Picker Sales and Revenue by Type (2020-2031)
11.4 Middle East and Africa AI-Powered Robot Picker Sales and Revenue by Application (2020-2031)
11.5 Middle East and Africa Investment Opportunities and Key Challenges
11.6 Middle East and Africa AI-Powered Robot Picker 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 Covariant
12.1.1 Covariant Corporation Information
12.1.2 Covariant Business Overview
12.1.3 Covariant AI-Powered Robot Picker Product Models, Descriptions and Specifications
12.1.4 Covariant AI-Powered Robot Picker Capacity, Sales, Price, Revenue and Gross Margin (2020-2025)
12.1.5 Covariant AI-Powered Robot Picker Sales by Product in 2024
12.1.6 Covariant AI-Powered Robot Picker Sales by Application in 2024
12.1.7 Covariant AI-Powered Robot Picker Sales by Geographic Area in 2024
12.1.8 Covariant AI-Powered Robot Picker SWOT Analysis
12.1.9 Covariant Recent Developments
12.2 ABB
12.2.1 ABB Corporation Information
12.2.2 ABB Business Overview
12.2.3 ABB AI-Powered Robot Picker Product Models, Descriptions and Specifications
12.2.4 ABB AI-Powered Robot Picker Capacity, Sales, Price, Revenue and Gross Margin (2020-2025)
12.2.5 ABB AI-Powered Robot Picker Sales by Product in 2024
12.2.6 ABB AI-Powered Robot Picker Sales by Application in 2024
12.2.7 ABB AI-Powered Robot Picker Sales by Geographic Area in 2024
12.2.8 ABB AI-Powered Robot Picker SWOT Analysis
12.2.9 ABB Recent Developments
12.3 Pickr.AI
12.3.1 Pickr.AI Corporation Information
12.3.2 Pickr.AI Business Overview
12.3.3 Pickr.AI AI-Powered Robot Picker Product Models, Descriptions and Specifications
12.3.4 Pickr.AI AI-Powered Robot Picker Capacity, Sales, Price, Revenue and Gross Margin (2020-2025)
12.3.5 Pickr.AI AI-Powered Robot Picker Sales by Product in 2024
12.3.6 Pickr.AI AI-Powered Robot Picker Sales by Application in 2024
12.3.7 Pickr.AI AI-Powered Robot Picker Sales by Geographic Area in 2024
12.3.8 Pickr.AI AI-Powered Robot Picker SWOT Analysis
12.3.9 Pickr.AI Recent Developments
12.4 Knapp
12.4.1 Knapp Corporation Information
12.4.2 Knapp Business Overview
12.4.3 Knapp AI-Powered Robot Picker Product Models, Descriptions and Specifications
12.4.4 Knapp AI-Powered Robot Picker Capacity, Sales, Price, Revenue and Gross Margin (2020-2025)
12.4.5 Knapp AI-Powered Robot Picker Sales by Product in 2024
12.4.6 Knapp AI-Powered Robot Picker Sales by Application in 2024
12.4.7 Knapp AI-Powered Robot Picker Sales by Geographic Area in 2024
12.4.8 Knapp AI-Powered Robot Picker SWOT Analysis
12.4.9 Knapp Recent Developments
12.5 inVia
12.5.1 inVia Corporation Information
12.5.2 inVia Business Overview
12.5.3 inVia AI-Powered Robot Picker Product Models, Descriptions and Specifications
12.5.4 inVia AI-Powered Robot Picker Capacity, Sales, Price, Revenue and Gross Margin (2020-2025)
12.5.5 inVia AI-Powered Robot Picker Sales by Product in 2024
12.5.6 inVia AI-Powered Robot Picker Sales by Application in 2024
12.5.7 inVia AI-Powered Robot Picker Sales by Geographic Area in 2024
12.5.8 inVia AI-Powered Robot Picker SWOT Analysis
12.5.9 inVia Recent Developments
12.6 Mecalux
12.6.1 Mecalux Corporation Information
12.6.2 Mecalux Business Overview
12.6.3 Mecalux AI-Powered Robot Picker Product Models, Descriptions and Specifications
12.6.4 Mecalux AI-Powered Robot Picker Capacity, Sales, Price, Revenue and Gross Margin (2020-2025)
12.6.5 Mecalux Recent Developments
12.7 Inther Group
12.7.1 Inther Group Corporation Information
12.7.2 Inther Group Business Overview
12.7.3 Inther Group AI-Powered Robot Picker Product Models, Descriptions and Specifications
12.7.4 Inther Group AI-Powered Robot Picker Capacity, Sales, Price, Revenue and Gross Margin (2020-2025)
12.7.5 Inther Group Recent Developments
12.8 SSI Schaefer
12.8.1 SSI Schaefer Corporation Information
12.8.2 SSI Schaefer Business Overview
12.8.3 SSI Schaefer AI-Powered Robot Picker Product Models, Descriptions and Specifications
12.8.4 SSI Schaefer AI-Powered Robot Picker Capacity, Sales, Price, Revenue and Gross Margin (2020-2025)
12.8.5 SSI Schaefer Recent Developments
12.9 Swisslog
12.9.1 Swisslog Corporation Information
12.9.2 Swisslog Business Overview
12.9.3 Swisslog AI-Powered Robot Picker Product Models, Descriptions and Specifications
12.9.4 Swisslog AI-Powered Robot Picker Capacity, Sales, Price, Revenue and Gross Margin (2020-2025)
12.9.5 Swisslog Recent Developments
12.10 Vanderlande
12.10.1 Vanderlande Corporation Information
12.10.2 Vanderlande Business Overview
12.10.3 Vanderlande AI-Powered Robot Picker Product Models, Descriptions and Specifications
12.10.4 Vanderlande AI-Powered Robot Picker Capacity, Sales, Price, Revenue and Gross Margin (2020-2025)
12.10.5 Vanderlande Recent Developments
12.11 Dematic
12.11.1 Dematic Corporation Information
12.11.2 Dematic Business Overview
12.11.3 Dematic AI-Powered Robot Picker Product Models, Descriptions and Specifications
12.11.4 Dematic AI-Powered Robot Picker Capacity, Sales, Price, Revenue and Gross Margin (2020-2025)
12.11.5 Dematic Recent Developments
12.12 Honeywell
12.12.1 Honeywell Corporation Information
12.12.2 Honeywell Business Overview
12.12.3 Honeywell AI-Powered Robot Picker Product Models, Descriptions and Specifications
12.12.4 Honeywell AI-Powered Robot Picker Capacity, Sales, Price, Revenue and Gross Margin (2020-2025)
12.12.5 Honeywell Recent Developments
12.13 Quicktron
12.13.1 Quicktron Corporation Information
12.13.2 Quicktron Business Overview
12.13.3 Quicktron AI-Powered Robot Picker Product Models, Descriptions and Specifications
12.13.4 Quicktron AI-Powered Robot Picker Capacity, Sales, Price, Revenue and Gross Margin (2020-2025)
12.13.5 Quicktron Recent Developments
12.14 Geek+
12.14.1 Geek+ Corporation Information
12.14.2 Geek+ Business Overview
12.14.3 Geek+ AI-Powered Robot Picker Product Models, Descriptions and Specifications
12.14.4 Geek+ AI-Powered Robot Picker Capacity, Sales, Price, Revenue and Gross Margin (2020-2025)
12.14.5 Geek+ Recent Developments
13 Value Chain and Supply-Chain Analysis
13.1 AI-Powered Robot Picker Industry Chain
13.2 AI-Powered Robot Picker Upstream Materials Analysis
13.2.1 Raw Materials
13.2.2 Key Suppliers Market Share & Risk Assessment
13.3 AI-Powered Robot Picker Integrated Production Analysis
13.3.1 Manufacturing Footprint Analysis
13.3.2 Production Technology Overview
13.3.3 Regional Cost Drivers
13.4 AI-Powered Robot Picker Sales Channels and Distribution Networks
13.4.1 Sales Channels
13.4.2 Distributors
14 AI-Powered Robot Picker 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 AI-Powered Robot Picker 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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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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