자율형 선반 스캐닝 로봇 시장 예측 - 제품 유형, 구성부품, 기술, 용도, 최종사용자 및 지역별 분석(-2034년)

According to Stratistics MRC, the Global Autonomous Shelf-Scanning Robots Market is accounted for $1.6 billion in 2026 and is expected to reach $3.4 billion by 2034 growing at a CAGR of 9.8% during the forecast period. Autonomous shelf-scanning robots refer to fixed scanning stations, mobile autonomous robots, drone-based inventory systems, AI vision analytics platforms, and RFID-equipped robotic systems deployed in retail stores, distribution centers, and warehouse facilities to automatically scan product shelves, detect out-of-stock conditions, identify misplaced items, verify planogram compliance, monitor price tag accuracy, track inventory levels, and generate real-time retail operational intelligence without requiring manual staff shelf audit labor through continuous automated shelf monitoring programs.

Market Dynamics:

Driver:

Retail Inventory Accuracy Operational Imperative

Retail sector out-of-stock incidence generating documented 4 to 8 percent annual revenue loss from consumer product unavailability combined with rising retail labor costs for manual inventory management is compelling large grocery, pharmacy, and mass merchandise retailers to invest in autonomous shelf-scanning robots that continuously monitor shelf conditions across thousands of product positions providing real-time replenishment alerts that dramatically improve in-stock availability versus periodic manual scan programs.

Restraint:

Customer Aisle Navigation Interaction Friction

Consumer discomfort and operational disruption from autonomous robot navigation in crowded retail aisles during peak shopping hours creates retailer deployment scheduling constraints limiting robot operational windows to low-traffic periods that reduce continuous monitoring coverage frequency, with documented customer complaints about robot encounters and aisle obstruction creating reputational risk that causes some retailer program managers to restrict robot deployment scope below technically optimal configurations.

Opportunity:

Fresh Food Expiration Monitoring Applications

Fresh food product expiration date monitoring and near-expiry removal management representing significant retail shrink cost reduction opportunity creates a premium shelf-scanning robot application that AI vision robots with date code reading capability can address at efficiency levels impossible through manual checking of thousands of fresh product items daily. Documented retail fresh shrink reduction of 15 to 30 percent from automated expiration monitoring generates compelling financial justification for robot deployment investment.

Threat:

Computer Vision Camera Infrastructure Competition

Fixed overhead and shelf-edge camera network systems with AI vision analytics providing continuous shelf monitoring from permanent infrastructure without robot navigation operational constraints represent alternative shelf monitoring technology architectures competing against mobile robot scanning platforms, with some large retailers preferring camera infrastructure investment for comprehensive store coverage without robot-consumer interaction management requirements despite higher initial installation costs.

Covid-19 Impact:

COVID-19 retail staff reallocation to safety compliance and reduced staff density requirements creating manual inventory management capacity limitations accelerated autonomous shelf-scanning robot evaluation and pilot deployment programs among major grocery and pharmacy retailers seeking automated inventory management alternatives to labor-intensive manual checking processes. Post-pandemic labor cost elevation, retail automation investment acceleration, and supply chain out-of-stock management urgency continue driving autonomous shelf-scanning robot market expansion.

The RFID-based robots segment is expected to be the largest during the forecast period

The RFID-based robots segment is expected to account for the largest market share during the forecast period, due to established retail RFID tag infrastructure investment in fashion, pharmacy, and specialty retail sectors providing existing product tagging assets that RFID robotic inventory scanning systems can leverage for high-accuracy inventory count without requiring computer vision AI development investment, enabling rapid deployment of RFID robot programs building on existing tag infrastructure with documented inventory accuracy improvements exceeding 99 percent attainment in apparel and pharmacy retail deployments.

The hardware segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the hardware segment is predicted to witness the highest growth rate, driven by rapid commercial expansion of autonomous shelf-scanning robot fleet deployments across grocery, pharmacy, and mass merchandise retail chains creating substantial hardware procurement demand for robot platforms, navigation sensor systems, camera arrays, and charging infrastructure as pilot programs scale to chain-wide deployment programs generating large equipment procurement contracts for leading autonomous retail robot hardware vendors.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share, due to the United States hosting the world's most advanced autonomous retail robot deployment ecosystem with leading companies including Simbe Robotics, Bossa Nova, and Brain Corp generating substantial domestic revenue from major grocery and mass merchandise chain partnerships, strong retail technology investment culture, and extensive retail chain scale providing commercially attractive deployment economics for autonomous shelf-scanning programs.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR, due to Japan and South Korea hosting technologically sophisticated retail automation markets with strong consumer acceptance of in-store robots, rapidly growing autonomous retail technology adoption in China through major e-commerce retailer brick-and-mortar expansion programs, and expanding convenience store chain investments in shelf-scanning automation across Japan, South Korea, and Southeast Asian retail markets.

Key players in the market

Some of the key players in Autonomous Shelf-Scanning Robots Market include Simbe Robotics, Bossa Nova Robotics, Zebra Technologies Corporation, Honeywell International Inc., Toshiba Corporation, Fujitsu Limited, Intel Corporation, NVIDIA Corporation, SoftBank Robotics, Samsung Electronics, LG Electronics, ABB Ltd., KUKA AG, FANUC Corporation, Brain Corp, Trax Retail, and Pensa Systems.

Key Developments:

In March 2026, Simbe Robotics secured a major US grocery chain national deployment contract for its Tally shelf-scanning robot across 800 store locations with real-time inventory accuracy and planogram compliance monitoring integrated with existing store management systems.

In January 2026, Trax Retail launched an AI shelf vision analytics platform combining fixed camera infrastructure with mobile robot scanning for comprehensive retail shelf intelligence across fresh food expiration monitoring and packaged goods availability tracking.

In December 2025, Brain Corp expanded its BrainOS autonomous robot operating platform with new shelf-scanning capabilities enabling existing floor-cleaning robot deployments to perform inventory monitoring during idle periods maximizing robot fleet utilization value.

Product Types Covered:

• Fixed Shelf Scanners
• Mobile Shelf-Scanning Robots
• Drone-Based Scanners
• AI Vision Robots
• RFID-Based Robots

Components Covered:

• Hardware
• Software
• Services

Technologies Covered:

• Computer Vision
• AI & Machine Learning
• RFID Technology
• IoT Integration

Applications Covered:

• Inventory Management
• Price Auditing
• Planogram Compliance
• Out-of-Stock Detection

End Users Covered:

• Retail Stores
• Supermarkets
• Warehouses
• Convenience Stores

Regions Covered:

• North America
  • United States
  • Canada
  • Mexico
• Europe
  • United Kingdom
  • Germany
  • France
  • Italy
  • Spain
  • Netherlands
  • Belgium
  • Sweden
  • Switzerland
  • Poland
  • Rest of Europe
• Asia Pacific
  • China
  • Japan
  • India
  • South Korea
  • Australia
  • Indonesia
  • Thailand
  • Malaysia
  • Singapore
  • Vietnam
  • Rest of Asia Pacific
• South America
  • Brazil
  • Argentina
  • Colombia
  • Chile
  • Peru
  • Rest of South America
• Rest of the World (RoW)
  • Middle East
• Saudi Arabia
• United Arab Emirates
• Qatar
• Israel
• Rest of Middle East
  • Africa
• South Africa
• Egypt
• Morocco
• Rest of Africa

What our report offers:

• Market share assessments for the regional and country-level segments
• Strategic recommendations for the new entrants
• Covers Market data for the years 2023, 2024, 2025, 2026, 2027, 2028, 2030, 2032 and 2034
• Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
• Strategic recommendations in key business segments based on the market estimations
• Competitive landscaping mapping the key common trends
• Company profiling with detailed strategies, financials, and recent developments
• Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

• Company Profiling
  • Comprehensive profiling of additional market players (up to 3)
  • SWOT Analysis of key players (up to 3)
• Regional Segmentation
  • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
• Competitive Benchmarking
  • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

• 1.1 Market Snapshot and Key Highlights
• 1.2 Growth Drivers, Challenges, and Opportunities
• 1.3 Competitive Landscape Overview
• 1.4 Strategic Insights and Recommendations

2 Research Framework

• 2.1 Study Objectives and Scope
• 2.2 Stakeholder Analysis
• 2.3 Research Assumptions and Limitations
• 2.4 Research Methodology
  • 2.4.1 Data Collection (Primary and Secondary)
  • 2.4.2 Data Modeling and Estimation Techniques
  • 2.4.3 Data Validation and Triangulation
  • 2.4.4 Analytical and Forecasting Approach

3 Market Dynamics and Trend Analysis

• 3.1 Market Definition and Structure
• 3.2 Key Market Drivers
• 3.3 Market Restraints and Challenges
• 3.4 Growth Opportunities and Investment Hotspots
• 3.5 Industry Threats and Risk Assessment
• 3.6 Technology and Innovation Landscape
• 3.7 Emerging and High-Growth Markets
• 3.8 Regulatory and Policy Environment
• 3.9 Impact of COVID-19 and Recovery Outlook

4 Competitive and Strategic Assessment

• 4.1 Porter's Five Forces Analysis
  • 4.1.1 Supplier Bargaining Power
  • 4.1.2 Buyer Bargaining Power
  • 4.1.3 Threat of Substitutes
  • 4.1.4 Threat of New Entrants
  • 4.1.5 Competitive Rivalry
• 4.2 Market Share Analysis of Key Players
• 4.3 Product Benchmarking and Performance Comparison

5 Global Autonomous Shelf-Scanning Robots Market, By Product Type

• 5.1 Fixed Shelf Scanners
• 5.2 Mobile Shelf-Scanning Robots
• 5.3 Drone-Based Scanners
• 5.4 AI Vision Robots
• 5.5 RFID-Based Robots

6 Global Autonomous Shelf-Scanning Robots Market, By Component

• 6.1 Hardware
• 6.2 Software
• 6.3 Services

7 Global Autonomous Shelf-Scanning Robots Market, By Technology

• 7.1 Computer Vision
• 7.2 AI & Machine Learning
• 7.3 RFID Technology
• 7.4 IoT Integration

8 Global Autonomous Shelf-Scanning Robots Market, By Application

• 8.1 Inventory Management
• 8.2 Price Auditing
• 8.3 Planogram Compliance
• 8.4 Out-of-Stock Detection

9 Global Autonomous Shelf-Scanning Robots Market, By End User

• 9.1 Retail Stores
• 9.2 Supermarkets
• 9.3 Warehouses
• 9.4 Convenience Stores

10 Global Autonomous Shelf-Scanning Robots Market, By Geography

• 10.1 North America
  • 10.1.1 United States
  • 10.1.2 Canada
  • 10.1.3 Mexico
• 10.2 Europe
  • 10.2.1 United Kingdom
  • 10.2.2 Germany
  • 10.2.3 France
  • 10.2.4 Italy
  • 10.2.5 Spain
  • 10.2.6 Netherlands
  • 10.2.7 Belgium
  • 10.2.8 Sweden
  • 10.2.9 Switzerland
  • 10.2.10 Poland
  • 10.2.11 Rest of Europe
• 10.3 Asia Pacific
  • 10.3.1 China
  • 10.3.2 Japan
  • 10.3.3 India
  • 10.3.4 South Korea
  • 10.3.5 Australia
  • 10.3.6 Indonesia
  • 10.3.7 Thailand
  • 10.3.8 Malaysia
  • 10.3.9 Singapore
  • 10.3.10 Vietnam
  • 10.3.11 Rest of Asia Pacific
• 10.4 South America
  • 10.4.1 Brazil
  • 10.4.2 Argentina
  • 10.4.3 Colombia
  • 10.4.4 Chile
  • 10.4.5 Peru
  • 10.4.6 Rest of South America
• 10.5 Rest of the World (RoW)
  • 10.5.1 Middle East
    • 10.5.1.1 Saudi Arabia
    • 10.5.1.2 United Arab Emirates
    • 10.5.1.3 Qatar
    • 10.5.1.4 Israel
    • 10.5.1.5 Rest of Middle East
  • 10.5.2 Africa
    • 10.5.2.1 South Africa
    • 10.5.2.2 Egypt
    • 10.5.2.3 Morocco
    • 10.5.2.4 Rest of Africa

11 Strategic Market Intelligence

• 11.1 Industry Value Network and Supply Chain Assessment
• 11.2 White-Space and Opportunity Mapping
• 11.3 Product Evolution and Market Life Cycle Analysis
• 11.4 Channel, Distributor, and Go-to-Market Assessment

12 Industry Developments and Strategic Initiatives

• 12.1 Mergers and Acquisitions
• 12.2 Partnerships, Alliances, and Joint Ventures
• 12.3 New Product Launches and Certifications
• 12.4 Capacity Expansion and Investments
• 12.5 Other Strategic Initiatives

13 Company Profiles

• 13.1 Simbe Robotics
• 13.2 Bossa Nova Robotics
• 13.3 Zebra Technologies Corporation
• 13.4 Honeywell International Inc.
• 13.5 Toshiba Corporation
• 13.6 Fujitsu Limited
• 13.7 Intel Corporation
• 13.8 NVIDIA Corporation
• 13.9 SoftBank Robotics
• 13.10 Samsung Electronics
• 13.11 LG Electronics
• 13.12 ABB Ltd.
• 13.13 KUKA AG
• 13.14 FANUC Corporation
• 13.15 Brain Corp
• 13.16 Trax Retail
• 13.17 Pensa Systems