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市場調查報告書
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1807270

全球零售影像辨識市場規模研究與預測（依技術、組件、應用、部署類型和區域預測，2025-2035 年）

Global Image Recognition in Retail Market Size Study & Forecast, by Technology, Component, Application, Deployment Type and Regional Forecasts 2025-2035
出版日期: | 出版商: Bizwit Research & Consulting LLP | 英文 285 Pages | 商品交期: 2-3個工作天內

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簡介目錄

2024年，全球零售影像辨識市場規模約為31億美元，預計在2025-2035年的預測期內，該市場將以22.0%的複合年成長率成長。零售影像辨識利用人工智慧、電腦視覺和機器學習演算法，使機器能夠解釋、分析和處理視覺資料，從而提高業務效率。在零售環境中，它透過簡化自動結帳、視覺化產品搜尋、個人化推薦、庫存監控和安全監控等操作來改變客戶體驗。隨著零售商擁抱數位化並將人工智慧融入實體店，影像識別市場持續加速發展，這得益於電子商務普及率的提高、對高級分析的需求，以及在降低營運效率的同時提升消費者參與度的日益成長的需求。

數位購物生態系統的急劇崛起以及消費者向便利購物模式的轉變，大大提升了全球零售連鎖店對影像辨識技術的需求。隨著視覺產品搜尋應用成為實現無摩擦購物的核心推動力，零售商正在投資下一代解決方案，以無縫整合數位和實體店體驗。根據最近的行業研究，超過 70% 的全球零售商計劃在本世紀末部署基於人工智慧的識別工具，以滿足消費者對速度、個人化和準確性日益成長的期望。同時，隨著零售店努力減少盜竊、監控人群行為並確保顧客安全，基於影像分析的安全監控在已開發經濟體和新興經濟體中都越來越受歡迎。儘管這些促進因素前景光明，但高昂的部署成本和與隱私相關的監管審查等挑戰可能會在未來幾年抑制其成長。

報告中包含的詳細細分和子細分如下：

目錄

第1章：零售市場中的全球圖像辨識報告範圍與方法

  • 研究目標
  • 研究方法
    • 預測模型
    • 案頭研究
    • 自上而下和自下而上的方法
  • 研究屬性
  • 研究範圍
    • 市場定義
    • 市場區隔
  • 研究假設
    • 包容與排斥
    • 限制
    • 研究涵蓋的年份

第2章：執行摘要

  • CEO/CXO 立場
  • 戰略洞察
  • ESG分析
  • 主要發現

第3章：零售市場力量分析中的全球圖像識別

  • 塑造零售市場全球形象認知的市場力量（2024-2035）
  • 驅動程式
    • 數位化和人工智慧整合
    • 電子商務普及率不斷上升
  • 限制
    • 高部署成本和隱私相關的監管
  • 機會
    • 高階分析的需求

第4章：零售業全局影像辨識分析

  • 波特五力模型
    • 買方議價能力
    • 供應商的議價能力
    • 新進入者的威脅
    • 替代品的威脅
    • 競爭對手
  • 波特五力預測模型（2024-2035）
  • PESTEL分析
    • 政治的
    • 經濟
    • 社會的
    • 科技
    • 環境的
    • 合法的
  • 最佳投資機會
  • 最佳制勝策略（2025年）
  • 市佔率分析（2024-2025）
  • 2025年全球定價分析與趨勢
  • 分析師建議與結論

第5章：全球零售影像辨識市場規模及預測：依技術分類 - 2025-2035 年

  • 市場概覽
  • 全球生長激素缺乏症市場表現-潛力分析（2025年）
  • 代碼識別
  • 數位影像處理

第6章：全球零售影像辨識市場規模及預測：依組成部分 - 2025-2035

  • 市場概覽
  • 全球生長激素缺乏症市場表現-潛力分析（2025年）
  • 軟體
  • 服務

第7章：全球零售影像辨識市場規模及預測：依應用分類 - 2025-2035

  • 市場概覽
  • 全球生長激素缺乏症市場表現-潛力分析（2025年）
  • 視覺產品搜尋
  • 安全監控

第 8 章：全球零售影像辨識市場規模及預測：依部署類型 - 2025-2035 年

  • 市場概覽
  • 全球生長激素缺乏症市場表現-潛力分析（2025年）
  • 基於雲端
  • 現場

第9章：全球零售影像辨識市場規模及預測：依地區 - 2025-2035

  • 成長區域市場簡介
  • 領先國家和新興國家
  • 北美洲
    • 美國
    • 加拿大
  • 歐洲
    • 英國
    • 德國
    • 法國
    • 西班牙
    • 義大利
    • 歐洲其他地區
  • 亞太地區
    • 中國
    • 印度
    • 日本
    • 澳洲
    • 韓國
    • 亞太地區其他地區
  • 拉丁美洲
    • 巴西
    • 墨西哥
  • 中東和非洲
    • 阿拉伯聯合大公國
    • 沙烏地阿拉伯（KSA）
    • 南非

第10章：競爭情報

  • 頂級市場策略
  • IBM Corporation
    • 公司概況
    • 主要高階主管
    • 公司概況
    • 財務表現（取決於數據可用性）
    • 產品/服務端口
    • 近期發展
    • 市場策略
    • SWOT分析
  • Amazon Web Services, Inc.
  • Google LLC
  • Microsoft Corporation
  • NEC Corporation
  • Cogniac Corporation
  • Cortexica Vision Systems Ltd.
  • Clarifai, Inc.
  • Snap Inc.
  • Cogito Tech LLC
  • Qualcomm Technologies, Inc.
  • Cisco Systems, Inc.
  • Samsung Electronics Co., Ltd.
  • Honeywell International Inc.
  • Vispera Information Technologies
簡介目錄

The Global Image Recognition in Retail Market is valued at approximately USD 3.1 billion in 2024 and is projected to expand at a CAGR of 22.0% over the forecast period of 2025-2035. Image recognition in retail leverages artificial intelligence, computer vision, and machine learning algorithms to enable machines to interpret, analyze, and process visual data for driving business efficiency. Within the retail environment, it transforms customer experience by streamlining operations such as automated checkout, visual product searches, personalized recommendations, inventory monitoring, and security surveillance. As retailers embrace digitalization and integrate AI into physical stores, the market for image recognition continues to accelerate, fueled by rising e-commerce penetration, demand for advanced analytics, and the growing need to enhance consumer engagement while reducing operational inefficiencies.

The sharp rise in digital shopping ecosystems and the consumer shift toward convenience-driven purchasing has dramatically elevated the demand for image recognition technologies across global retail chains. With visual product search applications becoming a core enabler of frictionless shopping, retailers are investing in next-generation solutions that blend digital and physical store experiences seamlessly. According to recent industry studies, more than 70% of global retailers plan to implement AI-based recognition tools by the end of this decade to meet rising consumer expectations for speed, personalization, and accuracy. Meanwhile, security surveillance powered by image analytics is gaining traction in both developed and emerging economies as retail outlets strive to minimize theft, monitor crowd behavior, and ensure customer safety. Despite these promising drivers, challenges such as high deployment costs and privacy-related regulatory scrutiny could temper growth over the coming years.

The detailed segments and sub-segments included in the report are:

By Technology:

  • Code Recognition
  • Digital Image Processing

By Component:

  • Software
  • Services

By Application:

  • Visual Product Search
  • Security Surveillance

By Deployment Type:

  • Cloud-Based
  • On-Premises

By Region:

  • North America
  • U.S.
  • Canada
  • Europe
  • UK
  • Germany
  • France
  • Spain
  • Italy
  • Rest of Europe
  • Asia Pacific
  • China
  • India
  • Japan
  • Australia
  • South Korea
  • Rest of Asia Pacific
  • Latin America
  • Brazil
  • Mexico
  • Middle East & Africa
  • UAE
  • Saudi Arabia
  • South Africa
  • Rest of Middle East & Africa
  • Software Solutions are Expected to Dominate the Market
  • Software is anticipated to remain the leading component in the global image recognition in retail market, accounting for the largest market share throughout the forecast period. As retailers increasingly rely on advanced AI-powered platforms for analyzing consumer data and enabling real-time decision-making, software solutions emerge as indispensable for integrating image recognition into day-to-day operations. From facial recognition at checkouts to visual search algorithms for online and offline commerce, software underpins the transformative adoption of these technologies. Service providers, however, are poised to grow rapidly as enterprises require consulting, customization, and managed solutions to fully harness the potential of recognition platforms.
  • Visual Product Search is Currently Driving Revenue Contribution
  • Among applications, visual product search continues to generate the lion's share of revenue within the market. Consumers are increasingly turning to image-based searches to discover products instantly, compare prices, and make informed purchase decisions, pushing retailers to adopt visual search-enabled applications. This technology not only enhances user engagement but also shortens the path to purchase, creating significant value for retailers in both online and physical formats. Security surveillance, though comparatively smaller in revenue today, is projected to accelerate swiftly as retail establishments tighten their focus on loss prevention, real-time monitoring, and predictive threat detection using AI-powered recognition tools.
  • The key regions considered for the Global Image Recognition in Retail Market study include North America, Europe, Asia Pacific, Latin America, and the Middle East & Africa. North America dominates the market in 2025 with the largest share, supported by an advanced retail ecosystem, robust adoption of AI technologies, and the presence of global retail giants integrating image recognition into their operations. Meanwhile, Asia Pacific is forecasted to emerge as the fastest-growing region due to rapid urbanization, booming e-commerce, and a surge in smart retail initiatives across China, India, and Japan. Europe also maintains strong growth momentum, with major retailers investing heavily in digital transformation to deliver highly personalized shopping experiences.

Major market players included in this report are:

  • IBM Corporation
  • Amazon Web Services, Inc.
  • Google LLC
  • Microsoft Corporation
  • NEC Corporation
  • Cogniac Corporation
  • Cortexica Vision Systems Ltd.
  • Clarifai, Inc.
  • Snap Inc.
  • Cogito Tech LLC
  • Qualcomm Technologies, Inc.
  • Cisco Systems, Inc.
  • Samsung Electronics Co., Ltd.
  • Honeywell International Inc.
  • Vispera Information Technologies

Global Image Recognition in Retail Market Report Scope:

  • Historical Data - 2023, 2024
  • Base Year for Estimation - 2024
  • Forecast period - 2025-2035
  • Report Coverage - Revenue forecast, Company Ranking, Competitive Landscape, Growth factors, and Trends
  • Regional Scope - North America; Europe; Asia Pacific; Latin America; Middle East & Africa
  • Customization Scope - Free report customization (equivalent to up to 8 analysts' working hours) with purchase. Addition or alteration to country, regional & segment scope*

The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values for the coming years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within the countries involved in the study. The report also provides detailed information about crucial aspects, such as driving factors and challenges, which will define the future growth of the market. Additionally, it incorporates potential opportunities in micro-markets for stakeholders to invest, along with a detailed analysis of the competitive landscape and product offerings of key players. The detailed segments and sub-segments of the market are explained below:

Key Takeaways:

  • Market Estimates & Forecast for 10 years from 2025 to 2035.
  • Annualized revenues and regional-level analysis for each market segment.
  • Detailed analysis of the geographical landscape with country-level analysis of major regions.
  • Competitive landscape with information on major players in the market.
  • Analysis of key business strategies and recommendations on future market approach.
  • Analysis of the competitive structure of the market.
  • Demand side and supply side analysis of the market.

Table of Contents

Chapter 1. Global Image Recognition in Retail Market Report Scope & Methodology

  • 1.1. Research Objective
  • 1.2. Research Methodology
    • 1.2.1. Forecast Model
    • 1.2.2. Desk Research
    • 1.2.3. Top Down and Bottom-Up Approach
  • 1.3. Research Attributes
  • 1.4. Scope of the Study
    • 1.4.1. Market Definition
    • 1.4.2. Market Segmentation
  • 1.5. Research Assumption
    • 1.5.1. Inclusion & Exclusion
    • 1.5.2. Limitations
    • 1.5.3. Years Considered for the Study

Chapter 2. Executive Summary

  • 2.1. CEO/CXO Standpoint
  • 2.2. Strategic Insights
  • 2.3. ESG Analysis
  • 2.4. key Findings

Chapter 3. Global Image Recognition in Retail Market Forces Analysis

  • 3.1. Market Forces Shaping The Global Image Recognition in Retail Market (2024-2035)
  • 3.2. Drivers
    • 3.2.1. Digitalization and AI Integration
    • 3.2.2. Rising E Commerce penetration
  • 3.3. Restraints
    • 3.3.1. High deployment costs and privacy-related regulatory
  • 3.4. Opportunities
    • 3.4.1. Demand for advanced analytics

Chapter 4. Global Image Recognition in Retail Industry Analysis

  • 4.1. Porter's 5 Forces Model
    • 4.1.1. Bargaining Power of Buyer
    • 4.1.2. Bargaining Power of Supplier
    • 4.1.3. Threat of New Entrants
    • 4.1.4. Threat of Substitutes
    • 4.1.5. Competitive Rivalry
  • 4.2. Porter's 5 Force Forecast Model (2024-2035)
  • 4.3. PESTEL Analysis
    • 4.3.1. Political
    • 4.3.2. Economical
    • 4.3.3. Social
    • 4.3.4. Technological
    • 4.3.5. Environmental
    • 4.3.6. Legal
  • 4.4. Top Investment Opportunities
  • 4.5. Top Winning Strategies (2025)
  • 4.6. Market Share Analysis (2024-2025)
  • 4.7. Global Pricing Analysis And Trends 2025
  • 4.8. Analyst Recommendation & Conclusion

Chapter 5. Global Image Recognition in Retail Market Size & Forecasts by Technology 2025-2035

  • 5.1. Market Overview
  • 5.2. Global Growth Hormone Deficiency Market Performance - Potential Analysis (2025)
  • 5.3. Code Recognition
    • 5.3.1. Top Countries Breakdown Estimates & Forecasts, 2024-2035
    • 5.3.2. Market size analysis, by region, 2025-2035
  • 5.4. Digital Image Processing
    • 5.4.1. Top Countries Breakdown Estimates & Forecasts, 2024-2035
    • 5.4.2. Market size analysis, by region, 2025-2035

Chapter 6. Global Image Recognition in Retail Market Size & Forecasts by Component 2025-2035

  • 6.1. Market Overview
  • 6.2. Global Growth Hormone Deficiency Market Performance - Potential Analysis (2025)
  • 6.3. Software
    • 6.3.1. Top Countries Breakdown Estimates & Forecasts, 2024-2035
    • 6.3.2. Market size analysis, by region, 2025-2035
  • 6.4. Services
    • 6.4.1. Top Countries Breakdown Estimates & Forecasts, 2024-2035
    • 6.4.2. Market size analysis, by region, 2025-2035

Chapter 7. Global Image Recognition in Retail Market Size & Forecasts by Application 2025-2035

  • 7.1. Market Overview
  • 7.2. Global Growth Hormone Deficiency Market Performance - Potential Analysis (2025)
  • 7.3. Visual Product Search
    • 7.3.1. Top Countries Breakdown Estimates & Forecasts, 2024-2035
    • 7.3.2. Market size analysis, by region, 2025-2035
  • 7.4. Security Surveillance
    • 7.4.1. Top Countries Breakdown Estimates & Forecasts, 2024-2035
    • 7.4.2. Market size analysis, by region, 2025-2035

Chapter 8. Global Image Recognition in Retail Market Size & Forecasts by Deployment Type 2025-2035

  • 8.1. Market Overview
  • 8.2. Global Growth Hormone Deficiency Market Performance - Potential Analysis (2025)
  • 8.3. Cloud Based
    • 8.3.1. Top Countries Breakdown Estimates & Forecasts, 2024-2035
    • 8.3.2. Market size analysis, by region, 2025-2035
  • 8.4. On premises
    • 8.4.1. Top Countries Breakdown Estimates & Forecasts, 2024-2035
    • 8.4.2. Market size analysis, by region, 2025-2035

Chapter 9. Global Image Recognition in Retail Market Size & Forecasts by Region 2025-2035

  • 9.1. Growth Image Recognition in Retail Market, Regional Market Snapshot
  • 9.2. Top Leading & Emerging Countries
  • 9.3. North America Image Recognition in Retail Market
    • 9.3.1. U.S. Image Recognition in Retail Market
      • 9.3.1.1. Technology breakdown size & forecasts, 2025-2035
      • 9.3.1.2. Component breakdown size & forecasts, 2025-2035
      • 9.3.1.3. Application breakdown size & forecasts, 2025-2035
      • 9.3.1.4. Deployment Type breakdown size & forecasts, 2025-2035
    • 9.3.2. Canada Image Recognition in Retail Market
      • 9.3.2.1. Technology breakdown size & forecasts, 2025-2035
      • 9.3.2.2. Component breakdown size & forecasts, 2025-2035
      • 9.3.2.3. Application breakdown size & forecasts, 2025-2035
      • 9.3.2.4. Deployment Type breakdown size & forecasts, 2025-2035
  • 9.4. Europe Image Recognition in Retail Market
    • 9.4.1. UK Image Recognition in Retail Market
      • 9.4.1.1. Technology breakdown size & forecasts, 2025-2035
      • 9.4.1.2. Component breakdown size & forecasts, 2025-2035
      • 9.4.1.3. Application breakdown size & forecasts, 2025-2035
      • 9.4.1.4. Deployment Type breakdown size & forecasts, 2025-2035
    • 9.4.2. Germany Image Recognition in Retail Market
      • 9.4.2.1. Technology breakdown size & forecasts, 2025-2035
      • 9.4.2.2. Component breakdown size & forecasts, 2025-2035
      • 9.4.2.3. Application breakdown size & forecasts, 2025-2035
      • 9.4.2.4. Deployment Type breakdown size & forecasts, 2025-2035
    • 9.4.3. France Image Recognition in Retail Market
      • 9.4.3.1. Technology breakdown size & forecasts, 2025-2035
      • 9.4.3.2. Component breakdown size & forecasts, 2025-2035
      • 9.4.3.3. Application breakdown size & forecasts, 2025-2035
      • 9.4.3.4. Deployment Type breakdown size & forecasts, 2025-2035
    • 9.4.4. Spain Image Recognition in Retail Market
      • 9.4.4.1. Technology breakdown size & forecasts, 2025-2035
      • 9.4.4.2. Component breakdown size & forecasts, 2025-2035
      • 9.4.4.3. Application breakdown size & forecasts, 2025-2035
      • 9.4.4.4. Deployment Type breakdown size & forecasts, 2025-2035
    • 9.4.5. Italy Image Recognition in Retail Market
      • 9.4.5.1. Technology breakdown size & forecasts, 2025-2035
      • 9.4.5.2. Component breakdown size & forecasts, 2025-2035
      • 9.4.5.3. Application breakdown size & forecasts, 2025-2035
      • 9.4.5.4. Deployment Type breakdown size & forecasts, 2025-2035
    • 9.4.6. Rest of Europe Image Recognition in Retail Market
      • 9.4.6.1. Technology breakdown size & forecasts, 2025-2035
      • 9.4.6.2. Component breakdown size & forecasts, 2025-2035
      • 9.4.6.3. Application breakdown size & forecasts, 2025-2035
      • 9.4.6.4. Deployment Type breakdown size & forecasts, 2025-2035
  • 9.5. Asia Pacific Image Recognition in Retail Market
    • 9.5.1. China Image Recognition in Retail Market
      • 9.5.1.1. Technology breakdown size & forecasts, 2025-2035
      • 9.5.1.2. Component breakdown size & forecasts, 2025-2035
      • 9.5.1.3. Application breakdown size & forecasts, 2025-2035
      • 9.5.1.4. Deployment Type breakdown size & forecasts, 2025-2035
    • 9.5.2. India Image Recognition in Retail Market
      • 9.5.2.1. Technology breakdown size & forecasts, 2025-2035
      • 9.5.2.2. Component breakdown size & forecasts, 2025-2035
      • 9.5.2.3. Application breakdown size & forecasts, 2025-2035
      • 9.5.2.4. Deployment Type breakdown size & forecasts, 2025-2035
    • 9.5.3. Japan Image Recognition in Retail Market
      • 9.5.3.1. Technology breakdown size & forecasts, 2025-2035
      • 9.5.3.2. Component breakdown size & forecasts, 2025-2035
      • 9.5.3.3. Application breakdown size & forecasts, 2025-2035
      • 9.5.3.4. Deployment Type breakdown size & forecasts, 2025-2035
    • 9.5.4. Australia Image Recognition in Retail Market
      • 9.5.4.1. Technology breakdown size & forecasts, 2025-2035
      • 9.5.4.2. Component breakdown size & forecasts, 2025-2035
      • 9.5.4.3. Application breakdown size & forecasts, 2025-2035
      • 9.5.4.4. Deployment Type breakdown size & forecasts, 2025-2035
    • 9.5.5. South Korea Image Recognition in Retail Market
      • 9.5.5.1. Technology breakdown size & forecasts, 2025-2035
      • 9.5.5.2. Component breakdown size & forecasts, 2025-2035
      • 9.5.5.3. Application breakdown size & forecasts, 2025-2035
      • 9.5.5.4. Deployment Type breakdown size & forecasts, 2025-2035
    • 9.5.6. Rest of APAC Image Recognition in Retail Market
      • 9.5.6.1. Technology breakdown size & forecasts, 2025-2035
      • 9.5.6.2. Component breakdown size & forecasts, 2025-2035
      • 9.5.6.3. Application breakdown size & forecasts, 2025-2035
      • 9.5.6.4. Deployment Type breakdown size & forecasts, 2025-2035
  • 9.6. Latin America Image Recognition in Retail Market
    • 9.6.1. Brazil Image Recognition in Retail Market
      • 9.6.1.1. Technology breakdown size & forecasts, 2025-2035
      • 9.6.1.2. Component breakdown size & forecasts, 2025-2035
      • 9.6.1.3. Application breakdown size & forecasts, 2025-2035
      • 9.6.1.4. Deployment Type breakdown size & forecasts, 2025-2035
    • 9.6.2. Mexico Image Recognition in Retail Market
      • 9.6.2.1. Technology breakdown size & forecasts, 2025-2035
      • 9.6.2.2. Component breakdown size & forecasts, 2025-2035
      • 9.6.2.3. Application breakdown size & forecasts, 2025-2035
      • 9.6.2.4. Deployment Type breakdown size & forecasts, 2025-2035
  • 9.7. Middle East and Africa Image Recognition in Retail Market
    • 9.7.1. UAE Image Recognition in Retail Market
      • 9.7.1.1. Technology breakdown size & forecasts, 2025-2035
      • 9.7.1.2. Component breakdown size & forecasts, 2025-2035
      • 9.7.1.3. Application breakdown size & forecasts, 2025-2035
      • 9.7.1.4. Deployment Type breakdown size & forecasts, 2025-2035
    • 9.7.2. Saudi Arabia (KSA) Image Recognition in Retail Market
      • 9.7.2.1. Technology breakdown size & forecasts, 2025-2035
      • 9.7.2.2. Component breakdown size & forecasts, 2025-2035
      • 9.7.2.3. Application breakdown size & forecasts, 2025-2035
      • 9.7.2.4. Deployment Type breakdown size & forecasts, 2025-2035
    • 9.7.3. South Africa Image Recognition in Retail Market
      • 9.7.3.1. Technology breakdown size & forecasts, 2025-2035
      • 9.7.3.2. Component breakdown size & forecasts, 2025-2035
      • 9.7.3.3. Application breakdown size & forecasts, 2025-2035
      • 9.7.3.4. Deployment Type breakdown size & forecasts, 2025-2035

Chapter 10. Competitive Intelligence

  • 10.1. Top Market Strategies
  • 10.2. IBM Corporation
    • 10.2.1. Company Overview
    • 10.2.2. Key Executives
    • 10.2.3. Company Snapshot
    • 10.2.4. Financial Performance (Subject to Data Availability)
    • 10.2.5. Product/Services Port
    • 10.2.6. Recent Development
    • 10.2.7. Market Strategies
    • 10.2.8. SWOT Analysis
  • 10.3. Amazon Web Services, Inc.
  • 10.4. Google LLC
  • 10.5. Microsoft Corporation
  • 10.6. NEC Corporation
  • 10.7. Cogniac Corporation
  • 10.8. Cortexica Vision Systems Ltd.
  • 10.9. Clarifai, Inc.
  • 10.10. Snap Inc.
  • 10.11. Cogito Tech LLC
  • 10.12. Qualcomm Technologies, Inc.
  • 10.13. Cisco Systems, Inc.
  • 10.14. Samsung Electronics Co., Ltd.
  • 10.15. Honeywell International Inc.
  • 10.16. Vispera Information Technologies