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市场调查报告书
商品编码
1807270

全球零售影像辨识市场规模研究与预测（按技术、组件、应用、部署类型和区域预测，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个工作天内

价格
简介目录

2024年，全球零售影像辨识市场规模约为31亿美元，预计在2025-2035年的预测期内，该市场将以22.0%的复合年增长率成长。零售影像辨识利用人工智慧、电脑视觉和机器学习演算法，使机器能够解释、分析和处理视觉资料，从而提高业务效率。在零售环境中，它透过简化自动结帐、视觉化产品搜寻、个人化推荐、库存监控和安全监控等操作来改变客户体验。随着零售商拥抱数位化并将人工智慧融入实体店，影像识别市场持续加速发展，这得益于电子商务渗透率的提高、对高级分析的需求，以及在降低营运效率的同时提升消费者参与度的日益增长的需求。

数位购物生态系统的急剧崛起以及消费者向便利购物模式的转变，大大提升了全球零售连锁店对影像辨识技术的需求。随着视觉产品搜寻应用成为实现无摩擦购物的核心推动力，零售商正在投资下一代解决方案，以无缝整合数位和实体店体验。根据最近的行业研究，超过 70% 的全球零售商计划在本世纪末部署基于人工智慧的识别工具，以满足消费者对速度、个人化和准确性日益增长的期望。同时，随着零售店努力减少盗窃、监控人群行为并确保顾客安全，基于影像分析的安全监控在已开发经济体和新兴经济体中都越来越受欢迎。儘管这些驱动因素前景光明，但高昂的部署成本和与隐私相关的监管审查等挑战可能会在未来几年抑制其成长。

报告中包含的详细细分和子细分如下：

目录

第一章：零售市场中的全球图像辨识报告范围与方法

  • 研究目标
  • 研究方法
    • 预测模型
    • 案头研究
    • 自上而下和自下而上的方法
  • 研究属性
  • 研究范围
    • 市场定义
    • 市场区隔
  • 研究假设
    • 包容与排斥
    • 限制
    • 研究考虑的年份

第二章：执行摘要

  • CEO/CXO 立场
  • 战略洞察
  • ESG分析
  • 主要发现

第三章：零售市场力量分析中的全球图像识别

  • 塑造零售市场全球形象认知的市场力量（2024-2035）
  • 驱动程式
    • 数位化和人工智慧集成
    • 电子商务渗透率不断上升
  • 限制
    • 高部署成本和隐私相关的监管
  • 机会
    • 高阶分析的需求

第四章：零售业全局影像辨识分析

  • 波特五力模型
    • 买方议价能力
    • 供应商的议价能力
    • 新进入者的威胁
    • 替代品的威胁
    • 竞争对手
  • 波特五力预测模型（2024-2035）
  • PESTEL分析
    • 政治的
    • 经济
    • 社会的
    • 科技
    • 环境的
    • 合法的
  • 最佳投资机会
  • 最佳制胜策略（2025年）
  • 市占率分析（2024-2025）
  • 2025年全球定价分析与趋势
  • 分析师建议与结论

第五章：全球零售影像辨识市场规模及预测：依技术分类 - 2025-2035 年

  • 市场概览
  • 全球生长激素缺乏症市场表现-潜力分析（2025年）
  • 代码识别
  • 数位影像处理

第六章：全球零售影像辨识市场规模及预测：按组成部分 - 2025-2035

  • 市场概览
  • 全球生长激素缺乏症市场表现-潜力分析（2025年）
  • 软体
  • 服务

第七章：全球零售影像辨识市场规模及预测：按应用划分 - 2025-2035

  • 市场概览
  • 全球生长激素缺乏症市场表现-潜力分析（2025年）
  • 视觉产品搜寻
  • 安全监控

第 8 章：全球零售影像辨识市场规模及预测：按部署类型 - 2025-2035 年

  • 市场概览
  • 全球生长激素缺乏症市场表现-潜力分析（2025年）
  • 基于云端
  • 现场

第九章：全球零售影像辨识市场规模及预测：按地区 - 2025-2035

  • 成长区域市场简介
  • 领先国家和新兴国家
  • 北美洲
    • 我们
    • 加拿大
  • 欧洲
    • 英国
    • 德国
    • 法国
    • 西班牙
    • 义大利
    • 欧洲其他地区
  • 亚太地区
    • 中国
    • 印度
    • 日本
    • 澳洲
    • 韩国
    • 亚太地区其他地区
  • 拉丁美洲
    • 巴西
    • 墨西哥
  • 中东和非洲
    • 阿联酋
    • 沙乌地阿拉伯（KSA）
    • 南非

第十章：竞争情报

  • 顶级市场策略
  • IBM Corporation
    • 公司概况
    • 主要高阶主管
    • 公司概况
    • 财务表现（取决于数据可用性）
    • 产品/服务端口
    • 近期发展
    • 市场策略
    • 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
简介目录

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