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商品編碼

2035362

自主貨架掃描機器人市場預測至2034年－按產品類型、組件、技術、應用、最終用戶和地區分類的全球分析

Autonomous Shelf-Scanning Robots Market Forecasts to 2034 - Global Analysis By Product Type, Component, Technology, Application, End User and By Geography

出版日期: 2026年05月11日 | 出版商:

Stratistics Market Research Consulting | 英文 | 商品交期: 2-3個工作天內

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簡介目錄圖表

根據 Stratistics MRC 的數據，預計到 2026 年，全球自主貨架掃描機器人市場規模將達到 16 億美元，並在預測期內以 9.8% 的複合年成長率成長，到 2034 年將達到 34 億美元。

自主貨架掃描機器人包括固定式掃描站、移動式自主機器人、基於無人機的庫存管理系統、人工智慧視覺分析平台以及配備RFID技術的機器人系統。這些設備部署在零售商店、物流中心和倉庫設施中，透過持續的自動化貨架監控程序，無需人工巡檢即可自動掃描貨架上的商品，檢測缺貨商品、識別錯放商品、驗證貨架陳列圖是否符合規範、監控價格標籤的準確性、追蹤存量基準，並產生即時零售營運情報。

零售庫存準確性的關鍵營運挑戰

零售業的缺貨會導致每年4%至8%的銷售損失，因為消費者買不到商品。加之人事費用不斷上漲，迫使大型超市、藥局和量販店投資購買自動貨架掃描機器人。與定期人工掃描相比，這些機器人能夠持續監控數千個貨架位置的商品狀況，並提供即時補貨警報，從而顯著提高庫存留存率。

顧客在過道導航過程中遇到的摩擦

在購物高峰時段，自動機器人穿梭於擁擠的零售通道，造成顧客不適和營運中斷，這限制了消費者的部署計劃，迫使他們將機器人運行時間限制在非高峰時段。因此，持續監控的頻率也隨之降低。此外，顧客對機器人的申訴，例如與機器人運作以及機器人阻塞通道等，也為零售商帶來了聲譽風險。因此，一些零售商的專案經理不得不限制機器人的部署範圍，而不是採用技術上最優的配置方案。

生鮮食品保存期限監控應用程式

監控生鮮食品的保存期限並及時移除保存期限的商品，是降低零售業庫存損失成本的重要方法。配備日期代碼讀取功能的AI視覺機器人，能夠有效率地處理數千件生鮮食品，其效率遠超人工檢查，從而打造出極具價值的貨架掃描機器人應用。透過自動化保存期限監控，零售業生鮮食品庫存損失已大幅降低15%至30%，為機器人部署投資提供了強而有力的經濟基礎。

電腦視覺相機基礎設施領域的競爭

一套配備人工智慧視覺分析功能的固定式貨架頂部和末端攝影機網路系統，能夠透過永久性基礎設施實現對貨架的持續監控，而無需像機器人導航那樣受到營運限制。這是一種可與行動機器人掃描平台相媲美的貨架監控技術架構。儘管初始部署成本較高，但一些大型零售商更傾向於投資攝影機基礎設施，因為它無需管理機器人與顧客的互動，並且可以涵蓋整個商店。

新冠疫情的影響：

由於新冠疫情安全標準和降低員工密度的要求，零售業員工的重新部署限制了人工庫存管理能力。這加速了大型超市和藥局零售商對自主貨架掃描機器人的評估和試點項目，這些零售商正在尋求自動化庫存管理解決方案，以取代勞動密集的人工盤點流程。後疫情時代人事費用的上升、零售業自動化投資的加速以及供應鏈中缺貨管理的迫切性，都持續推動自主貨架掃描機器人市場的擴張。

在預測期內，基於 RFID 的機器人細分市場預計將成為最大的細分市場。

預計在預測期內，基於RFID的機器人技術將佔據最大的市場佔有率。這主要得益於時尚、藥妝和專賣零售業對現有零售RFID標籤基礎設施的投資，這些投資為產品標籤提供了豐富的資源。 RFID機器人庫存掃描系統可以利用這些資源，無需投資電腦視覺人工智慧開發，即可實現高精度的庫存盤點。這使得基於現有標籤基礎設施的RFID機器人程式能夠快速部署，在服裝和藥妝零售的案例中，庫存準確率提升超過99%。

在預測期內，硬體領域預計將呈現最高的複合年成長率。

在預測期內，硬體領域預計將呈現最高的成長率。這主要得益於超市、藥局和量販店連鎖店中自主貨架掃描機器人部署的快速擴張，從而產生了對機器人平台、導航感測器系統、攝影機陣列和充電基礎設施等硬體的巨大採購需求。隨著試驗計畫擴展到全連鎖部署，領先的自主零售機器人硬體供應商將獲得大規模的設備採購合約。

市佔率最大的地區：

在預測期內，北美預計將佔據最大的市場佔有率。這是因為美國擁有全球最先進的自主零售機器人部署生態系統，Simbe Robotics、Bossa Nova 和 Brain Corp 等領先公司透過與大型超市和量販店連鎖店的合作，獲得了可觀的國內收入；此外，美國還擁有根深蒂固的零售技術投資文化，以及大規模的零售連鎖網路，這些項目都為自主貨架掃描提供了極具商業性吸引力的部署經濟效益。

複合年成長率最高的地區：

在預測期內，亞太地區預計將呈現最高的複合年成長率。這是因為日本和韓國擁有技術先進的零售自動化市場，且消費者對店內機器人的接受度較高；在中國，大型電商零售商透過實體店部署項目，正在迅速推廣自主零售技術；而在日本、韓國和東南亞的零售市場，便利商店連鎖企業對貨架掃描自動化的投資也在增加。

免費客製化服務：

所有購買此報告的客戶均可享受以下免費自訂選項之一：

企業概況
- 對其他市場參與者（最多 3 家公司）進行全面分析
- 主要參與者（最多3家公司）的SWOT分析
區域細分
- 應客戶要求，我們提供主要國家的市場估算和預測，以及複合年成長率（註：需進行可行性檢查）。
競爭性標竿分析
- 根據產品系列、地理覆蓋範圍和策略聯盟對領先公司進行基準分析。

北美洲
- 美國
- 加拿大
- 墨西哥
歐洲
- 英國
- 德國
- 法國
- 義大利
- 西班牙
- 荷蘭
- 比利時
- 瑞典
- 瑞士
- 波蘭
- 其他歐洲國家
亞太地區
- 中國
- 日本
- 印度
- 韓國
- 澳洲
- 印尼
- 泰國
- 馬來西亞
- 新加坡
- 越南
- 其他亞太國家
南美洲
- 巴西
- 阿根廷
- 哥倫比亞
- 智利
- 秘魯
- 其他南美國家
世界其他地區（RoW）
- 中東
  - 沙烏地阿拉伯
  - 阿拉伯聯合大公國
  - 卡達
  - 以色列
  - 其他中東國家
- 非洲
  - 南非
  - 埃及
  - 摩洛哥
  - 其他非洲國家

第11章策略市場資訊

工業價值網路和供應鏈評估
空白區域和機會地圖
產品演進與市場生命週期分析
通路、經銷商和打入市場策略的評估

第12章產業趨勢與策略舉措

併購
夥伴關係、聯盟和合資企業
新產品發布和認證
擴大生產能力和投資
其他策略舉措

第13章：公司簡介

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
Pensa Systems

簡介目錄圖表

Product Code: SMRC35643

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

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

簡介目錄圖表

List of Tables

Table 1 Global Autonomous Shelf-Scanning Robots Market Outlook, By Region (2023-2034) ($MN)
Table 2 Global Autonomous Shelf-Scanning Robots Market Outlook, By Product Type (2023-2034) ($MN)
Table 3 Global Autonomous Shelf-Scanning Robots Market Outlook, By Fixed Shelf Scanners (2023-2034) ($MN)
Table 4 Global Autonomous Shelf-Scanning Robots Market Outlook, By Mobile Shelf-Scanning Robots (2023-2034) ($MN)
Table 5 Global Autonomous Shelf-Scanning Robots Market Outlook, By Drone-Based Scanners (2023-2034) ($MN)
Table 6 Global Autonomous Shelf-Scanning Robots Market Outlook, By AI Vision Robots (2023-2034) ($MN)
Table 7 Global Autonomous Shelf-Scanning Robots Market Outlook, By RFID-Based Robots (2023-2034) ($MN)
Table 8 Global Autonomous Shelf-Scanning Robots Market Outlook, By Component (2023-2034) ($MN)
Table 9 Global Autonomous Shelf-Scanning Robots Market Outlook, By Hardware (2023-2034) ($MN)
Table 10 Global Autonomous Shelf-Scanning Robots Market Outlook, By Software (2023-2034) ($MN)
Table 11 Global Autonomous Shelf-Scanning Robots Market Outlook, By Services (2023-2034) ($MN)
Table 12 Global Autonomous Shelf-Scanning Robots Market Outlook, By Technology (2023-2034) ($MN)
Table 13 Global Autonomous Shelf-Scanning Robots Market Outlook, By Computer Vision (2023-2034) ($MN)
Table 14 Global Autonomous Shelf-Scanning Robots Market Outlook, By AI & Machine Learning (2023-2034) ($MN)
Table 15 Global Autonomous Shelf-Scanning Robots Market Outlook, By RFID Technology (2023-2034) ($MN)
Table 16 Global Autonomous Shelf-Scanning Robots Market Outlook, By IoT Integration (2023-2034) ($MN)
Table 17 Global Autonomous Shelf-Scanning Robots Market Outlook, By Application (2023-2034) ($MN)
Table 18 Global Autonomous Shelf-Scanning Robots Market Outlook, By Inventory Management (2023-2034) ($MN)
Table 19 Global Autonomous Shelf-Scanning Robots Market Outlook, By Price Auditing (2023-2034) ($MN)
Table 20 Global Autonomous Shelf-Scanning Robots Market Outlook, By Planogram Compliance (2023-2034) ($MN)
Table 21 Global Autonomous Shelf-Scanning Robots Market Outlook, By Out-of-Stock Detection (2023-2034) ($MN)
Table 22 Global Autonomous Shelf-Scanning Robots Market Outlook, By End User (2023-2034) ($MN)
Table 23 Global Autonomous Shelf-Scanning Robots Market Outlook, By Retail Stores (2023-2034) ($MN)
Table 24 Global Autonomous Shelf-Scanning Robots Market Outlook, By Supermarkets (2023-2034) ($MN)
Table 25 Global Autonomous Shelf-Scanning Robots Market Outlook, By Warehouses (2023-2034) ($MN)
Table 26 Global Autonomous Shelf-Scanning Robots Market Outlook, By Convenience Stores (2023-2034) ($MN)