查看购物车
  • Traditional Chinese
  • English
  • Japanese
  • Korean
封面
市场调查报告书
商品编码
1530608

店内分析市场规模、份额和趋势分析报告：按解决方案类型、部署、应用程式、区域和细分市场进行预测，2024-2030 年

In-store Analytics Market Size, Share & Trends Analysis Report By Solution Type (Shopper Traffic Analysis, Inventory Management), By Deployment (Cloud, On-premise), By Application, By Region, And Segment Forecasts, 2024 - 2030
出版日期: | 出版商: Grand View Research | 英文 150 Pages | 商品交期: 2-10个工作天内

价格

店内分析市场规模与趋势

预计 2023 年全球店内分析市场规模将达到 41.7 亿美元，2024 年至 2030 年复合年增长率预估为 21.8%。由于技术进步以及对可增强零售业务的资料主导解决方案的需求不断增长，该市场正在经历强劲增长。零售商越来越多地采用店内分析来更深入地了解客户行为、简化营运并改善整体购物体验。这涉及在商店内部署感测器、摄影机和物联网设备，以监控和分析消费者移动和客流量模式等各个方面。

这些技术描述了有关客户如何与产品互动以及如何在商店中移动的即时资料。使用先进的分析平台对收集的资料进行处理和分析。这些平台利用演算法和机器学习从资料中获取可操作的见解。例如，零售商可以根据流量分析优化商店布局，透过预测需求模式改善库存管理，并根据客户偏好和行为实施有针对性的行销策略。这种分析方法不仅有助于简化业务，还有助于创建个人化的购物体验，从而提高客户满意度和忠诚度。

由于对个人化客户体验和无缝全通路整合的日益关注，市场正在经历显着扩张。零售商正在部署分析解决方案，根据个人消费者的偏好和行为客製化促销、推荐和服务。这种以客户为中心的方法可以提高满意度、提高销售转换率并培养客户忠诚度。店内分析整合了线上和线下零售通路的洞察，提供跨不同接触点的客户旅程的统一观点。这种整体方法使零售商能够提供一致的体验，包括高效的点击提货服务和个人化的店内互动，满足数位连接消费者不断变化的需求。随着竞争的加剧，对于希望在竞争激烈的零售业中脱颖而出并获得优势的零售商来说，有效利用店内分析变得越来越重要。

与数位行销策略的整合对于店内分析至关重要。因为透过店内分析，零售商可以根据顾客的即时需求和偏好提供及时且相关的促销活动。透过利用店内分析平台的即时资料，零售商可以深入了解顾客的购物行为和偏好。这些资料使零售商能够根据客户的店内位置、过去的购买历史记录和浏览模式，针对客户进行个人化行销宣传活动。将店内分析与数位行销策略相结合也有助于全通路行销工作，使零售商能够同步线上和线下促销活动，以获得无缝的购物体验。例如，在线上浏览的顾客可以利用从过去的互动中获得的见解以及透过店内分析收集的位置资料来接收店内提供的个人化优惠。

全球店内分析市场报告细分

该报告预测了全球、区域和国家层面的收益成长，并对2018年至2030年各子区隔的最新行业趋势进行了分析。在这项研究中，Grand View Research, Inc. 根据解决方案类型、部署、应用程式和区域对全球店内分析市场报告进行了细分。

目录

第一章调查方法与范围

第 2 章执行摘要

第 3 章 店内分析市场变数、趋势和范围

  • 市场介绍/系统展望
  • 市场动态
    • 市场驱动因素分析
    • 市场限制因素分析
    • 产业挑战
  • 店内分析市场分析工具
    • 波特的分析
    • PESTEL分析

第 4 章 店内分析市场：按解决方案类型进行估计和趋势分析

  • 细分仪表板
  • 店内分析市场：2023 年和 2030 年解决方案类型变化分析
  • 买家流量分析
  • 伫列管理
  • 计划合规性
  • 库存管理
  • 店内导航

第五章店内分析市场：依发展估算与趋势分析

  • 细分仪表板
  • 店内分析市场：2023 年和 2030 年的演变分析
  • 云
  • 本地

第六章店内分析市场：按应用、估计和趋势分析

  • 细分仪表板
  • 店内分析市场：2023 年和 2030 年应用变化分析
  • 商品行销分析
  • 零售绩效管理
  • 改善客户体验
  • 损失预防和安全

第七章店内分析市场：区域估计与趋势分析

  • 店内分析市场占有率（按地区），2023 年和 2030 年，百万美元
  • 北美洲
    • 2018-2030 年北美店内分析市场估计与预测
    • 美国
    • 加拿大
    • 墨西哥
  • 欧洲
    • 2018-2030 年欧洲店内分析市场估计与预测
    • 英国
    • 德国
    • 法国
  • 亚太地区
    • 2018-2030 年亚太地区店内分析市场估计与预测
    • 中国
    • 日本
    • 印度
    • 韩国
    • 澳洲
  • 拉丁美洲
    • 2018-2030 年拉丁美洲店内分析市场估计与预测
    • 巴西
  • 中东/非洲
    • 2018-2030 年中东和非洲店内分析市场估计和预测
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 南非

第八章 竞争格局

  • 公司分类
  • 公司市场定位
  • 参与企业概况
  • 解决方案类型基准
  • 企业热力图分析
  • 策略规划
  • 公司简介/上市公司
    • Capillary Technologies India Limited
    • Honeywell Intelligrated（Honeywell International Inc.）
    • LTIMindtree Limited
    • Microsoft
    • Mood Media
    • RETAILNEXT, INC.
    • SAP SE
    • Sensormatic Solutions（Johnson Controls）
    • Trax Retail
    • Zebra Technologies Corp
Product Code: GVR-4-68040-390-5

In-store Analytics Market Size & Trends

The global in-store analytics market size was estimated at USD 4.17 billion in 2023 and is projected to grow at a CAGR of 21.8% from 2024 to 2030. The market is experiencing robust growth driven by technological advancements and rising demand for data-driven solutions that can enhance retail operations. Retailers are increasingly adopting in-store analytics to gain deeper insights into customer behavior, simplify operations, and improve the overall shopping experience. This involves the deployment of sensors, cameras, and IoT devices within stores to monitor and analyze various aspects, such as shopper movements and foot traffic patterns.

These technologies provide real-time data on how customers interact with products and navigate through the store. The gathered data is then processed and analyzed using advanced analytics platforms. These platforms utilize algorithms and machine learning to extract actionable insights from the data. For instance, retailers can optimize store layouts based on traffic flow analysis, enhance inventory management by predicting demand patterns, and implement targeted marketing strategies based on customer preferences and behaviors. This analytical approach helps in operational efficiency and also in creating personalized shopping experiences that can drive customer satisfaction and loyalty.

The market is experiencing notable expansion driven by the increasing focus on personalized customer experiences and seamless omnichannel integration. Retailers are embracing analytics solutions to customize promotions, recommendations, and services according to individual shopper preferences and behaviors. This customer-centric approach enhances satisfaction, boosts sales conversions, and cultivates customer loyalty. In-store analytics integrate insights from both online and offline retail channels, offering a unified perspective on customer journeys across various touchpoints. This holistic approach empowers retailers to provide cohesive experiences such as efficient click-and-collect services and personalized in-store interactions, effectively meeting the evolving demands of digitally connected consumers. As competition intensifies, the effective use of in-store analytics becomes increasingly crucial for retailers aiming to differentiate themselves and stay ahead in the competitive retail sector.

Integration with digital marketing strategies is crucial for in-store analytics because it enables retailers to deliver timely and relevant promotions tailored to customers' immediate needs and preferences. Utilizing real-time data from in-store analytics platforms, retailers gain insights into customer behavior and preferences while they shop. This data empowers retailers to create personalized marketing campaigns targeting customers based on their location within the store, past purchase history, and browsing patterns. Integrating in-store analytics with digital marketing strategies also facilitates omnichannel marketing efforts, allowing retailers to synchronize online and offline promotional activities for a seamless shopping experience. For instance, a customer browsing online might receive a personalized offer that they can redeem in-store, utilizing insights from previous interactions and current location data gathered through in-store analytics.

Global In-store Analytics Market Report Segmentation

This report forecasts revenue growth at global, regional, and country levels and provides an analysis of the latest industry trends in each of the sub-segments from 2018 to 2030. For this study, Grand View Research has segmented the global in-store analytics market report based on solution type, deployment, application, and region:

  • Solution Type Outlook (Revenue, USD Million, 2018 - 2030)
  • Shopper Traffic Analysis
  • Queue Management
  • Planogram Compliance
  • Inventory Management
  • In-Store Navigation
  • Deployment Outlook (Revenue, USD Million, 2018 - 2030)
  • Cloud
  • On-premises
  • Application Outlook (Revenue, USD Million, 2018 - 2030)
  • Merchandising Analysis
  • Retail Performance Management
  • Customer Experience Enhancement
  • Loss Prevention and Security
  • Regional Outlook (Revenue, USD Million, 2018 - 2030)
  • North America

U.S.

Canada

Mexico

  • Europe

UK

Germany

France

  • Asia Pacific

China

Japan

India

South Korea

Australia

  • Latin America

Brazil

  • Middle East and Africa (MEA)

KSA

UAE

South Africa

Table of Contents

Chapter 1. Methodology and Scope

  • 1.1. Market Segmentation and Scope
  • 1.2. Market Definition
  • 1.3. Research Methodology
    • 1.3.1. Information Procurement
    • 1.3.2. Information or Data Analysis
    • 1.3.3. Market Formulation & Data Visualization
    • 1.3.4. Data Validation & Publishing
  • 1.4. Research Scope and Assumptions
    • 1.4.1. List of Data Sources

Chapter 2. Executive Summary

  • 2.1. Market Outlook
  • 2.2. Segment Outlook
  • 2.3. Competitive Insights

Chapter 3. In-Store Analytics market Variables, Trends, & Scope

  • 3.1. Market Introduction/Lineage Outlook
  • 3.2. Market Dynamics
    • 3.2.1. Market Driver Analysis
    • 3.2.2. Market Restraint Analysis
    • 3.2.3. Industry Challenge
  • 3.3. In-Store Analytics market Analysis Tools
    • 3.3.1. Porter's Analysis
    • 3.3.2. PESTEL Analysis

Chapter 4. In-Store Analytics market: Solution Type Estimates & Trend Analysis

  • 4.1. Segment Dashboard
  • 4.2. In-Store Analytics market: Solution Type Movement Analysis, 2023 & 2030 (USD Million)
  • 4.3. Shopper Traffic Analysis
    • 4.3.1. Shopper Traffic Analysis Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 4.4. Queue Management
    • 4.4.1. Queue Management Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 4.5. Planogram Compliance
    • 4.5.1. Planogram Compliance Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 4.6. Inventory Management
    • 4.6.1. Inventory Management Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 4.7. In-Store Navigation
    • 4.7.1. In-Store Navigation Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)

Chapter 5. In-Store Analytics Market: Deployment Estimates & Trend Analysis

  • 5.1. Segment Dashboard
  • 5.2. In-Store Analytics market: Deployment Movement Analysis, 2023 & 2030 (USD Million)
  • 5.3. Cloud
    • 5.3.1. Cloud In-Store Analytics Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 5.4. On-premises
    • 5.4.1. On-premises In-Store Analytics Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)

Chapter 6. In-Store Analytics Market: Application Estimates & Trend Analysis

  • 6.1. Segment Dashboard
  • 6.2. In-Store Analytics Market: Application Movement Analysis, 2023 & 2030 (USD Million)
  • 6.3. Merchandising Analysis
    • 6.3.1. Merchandising Analysis In-Store Analytics Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 6.4. Retail Performance Management
    • 6.4.1. Retail Performance Management In-Store Analytics Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 6.5. Customer Experience Enhancement
    • 6.5.1. Customer Experience Enhancement In-Store Analytics Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 6.6. Loss Prevention and Security
    • 6.6.1. Loss Prevention and Security In-Store Analytics Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)

Chapter 7. In-Store Analytics Market: Regional Estimates & Trend Analysis

  • 7.1. In-Store Analytics Market Share, By Region, 2023 & 2030, USD Million
  • 7.2. North America
    • 7.2.1. North America In-Store Analytics Market Estimates and Forecasts, 2018 - 2030 (USD Million)
    • 7.2.2. U.S.
      • 7.2.2.1. U.S. In-Store Analytics Market Estimates and Forecasts, 2018 - 2030 (USD Million)
    • 7.2.3. Canada
      • 7.2.3.1. Canada In-Store Analytics Market Estimates and Forecasts, 2018 - 2030 (USD Million)
    • 7.2.4. Mexico
      • 7.2.4.1. Mexico In-Store Analytics Market Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 7.3. Europe
    • 7.3.1. Europe In-Store Analytics Market Estimates and Forecasts, 2018 - 2030 (USD Million)
    • 7.3.2. UK
      • 7.3.2.1. UK In-Store Analytics Market Estimates and Forecasts, 2018 - 2030 (USD Million)
    • 7.3.3. Germany
      • 7.3.3.1. Germany In-Store Analytics Market Estimates and Forecasts, 2018 - 2030 (USD Million)
    • 7.3.4. France
      • 7.3.4.1. France In-Store Analytics Market Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 7.4. Asia Pacific
    • 7.4.1. Asia Pacific In-Store Analytics Market Estimates and Forecasts, 2018 - 2030 (USD Million)
    • 7.4.2. China
      • 7.4.2.1. China In-Store Analytics Market Estimates and Forecasts, 2018 - 2030 (USD Million)
    • 7.4.3. Japan
      • 7.4.3.1. Japan In-Store Analytics Market Estimates and Forecasts, 2018 - 2030 (USD Million)
    • 7.4.4. India
      • 7.4.4.1. India In-Store Analytics Market Estimates and Forecasts, 2018 - 2030 (USD Million)
    • 7.4.5. South Korea
      • 7.4.5.1. South Korea In-Store Analytics Market Estimates and Forecasts, 2018 - 2030 (USD Million)
    • 7.4.6. Australia
      • 7.4.6.1. Australia In-Store Analytics Market Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 7.5. Latin America
    • 7.5.1. Latin America In-Store Analytics Market Estimates and Forecasts, 2018 - 2030 (USD Million)
    • 7.5.2. Brazil
      • 7.5.2.1. Brazil In-Store Analytics Market Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 7.6. Middle East and Africa
    • 7.6.1. Middle East and Africa In-Store Analytics Market Estimates and Forecasts, 2018 - 2030 (USD Million)
    • 7.6.2. KSA
      • 7.6.2.1. KSA In-Store Analytics Market Estimates and Forecasts, 2018 - 2030 (USD Million)
    • 7.6.3. UAE
      • 7.6.3.1. UAE In-Store Analytics Market Estimates and Forecasts, 2018 - 2030 (USD Million)
    • 7.6.4. South Africa
      • 7.6.4.1. South Africa In-Store Analytics Market Estimates and Forecasts, 2018 - 2030 (USD Million)

Chapter 8. Competitive Landscape

  • 8.1. Company Categorization
  • 8.2. Company Market Positioning
  • 8.3. Participant's Overview
  • 8.4. Financial Performance
  • 8.5. Solution Type Benchmarking
  • 8.6. Company Heat Map Analysis
  • 8.7. Strategy Mapping
  • 8.8. Company Profiles/Listing
    • 8.8.1. Capillary Technologies India Limited
      • 8.8.1.1. Participant's Overview
      • 8.8.1.2. Financial Performance
      • 8.8.1.3. Product Benchmarking
      • 8.8.1.4. Recent Developments
    • 8.8.2. Honeywell Intelligrated (Honeywell International Inc.)
      • 8.8.2.1. Participant's Overview
      • 8.8.2.2. Financial Performance
      • 8.8.2.3. Product Benchmarking
      • 8.8.2.4. Recent Developments
    • 8.8.3. LTIMindtree Limited
      • 8.8.3.1. Participant's Overview
      • 8.8.3.2. Financial Performance
      • 8.8.3.3. Product Benchmarking
      • 8.8.3.4. Recent Developments
    • 8.8.4. Microsoft
      • 8.8.4.1. Participant's Overview
      • 8.8.4.2. Financial Performance
      • 8.8.4.3. Product Benchmarking
      • 8.8.4.4. Recent Developments
    • 8.8.5. Mood Media
      • 8.8.5.1. Participant's Overview
      • 8.8.5.2. Financial Performance
      • 8.8.5.3. Product Benchmarking
      • 8.8.5.4. Recent Developments
    • 8.8.6. RETAILNEXT, INC.
      • 8.8.6.1. Participant's Overview
      • 8.8.6.2. Financial Performance
      • 8.8.6.3. Product Benchmarking
      • 8.8.6.4. Recent Developments
    • 8.8.7. SAP SE
      • 8.8.7.1. Participant's Overview
      • 8.8.7.2. Financial Performance
      • 8.8.7.3. Product Benchmarking
      • 8.8.7.4. Recent Developments
    • 8.8.8. Sensormatic Solutions (Johnson Controls)
      • 8.8.8.1. Participant's Overview
      • 8.8.8.2. Financial Performance
      • 8.8.8.3. Product Benchmarking
      • 8.8.8.4. Recent Developments
    • 8.8.9. Trax Retail
      • 8.8.9.1. Participant's Overview
      • 8.8.9.2. Financial Performance
      • 8.8.9.3. Product Benchmarking
      • 8.8.9.4. Recent Developments
    • 8.8.10. Zebra Technologies Corp
      • 8.8.10.1. Participant's Overview
      • 8.8.10.2. Financial Performance
      • 8.8.10.3. Product Benchmarking
      • 8.8.10.4. Recent Developments

List of Tables

  • Table 1 Global In-Store Analytics Market by solution type, 2018 - 2030 (USD Million)
  • Table 2 Global In-Store Analytics Market by deployment , 2018 - 2030 (USD Million)
  • Table 3 Global In-Store Analytics Market by application, 2018 - 2030 (USD Million)
  • Table 4 Global In-Store Analytics Market by region, 2018 - 2030 (USD Million)
  • Table 5 North America In-Store Analytics Market by country, 2018 - 2030 (USD Million)
  • Table 6 Europe In-Store Analytics Market by country, 2018 - 2030 (USD Million)
  • Table 7 Asia Pacific In-Store Analytics Market by country, 2018 - 2030 (USD Million)
  • Table 8 Latin America In-Store Analytics Market by country, 2018 - 2030 (USD Million)
  • Table 9 MEA In-Store Analytics Market by country, 2018 - 2030 (USD Million)
  • Table 10 Key companies launching new products/services
  • Table 11 Key companies engaged in mergers & acquisition
  • Table 12 Key companies engaged in Research & development
  • Table 13 Key Companies engaged in expansion

List of Figures

  • Fig. 1 In-Store Analytics Market segmentation
  • Fig. 2 Market research process
  • Fig. 3 Information procurement
  • Fig. 4 Primary research pattern
  • Fig. 5 Market research approaches
  • Fig. 6 Market formulation & validation
  • Fig. 7 In-Store Analytics Market snapshot
  • Fig. 8 In-Store Analytics Market segment snapshot
  • Fig. 9 In-Store Analytics Market competitive landscape snapshot
  • Fig. 10 Market driver impact analysis
  • Fig. 11 Market restraint impact analysis
  • Fig. 12 In-Store Analytics Market: Solution Type outlook key takeaways (USD Million)
  • Fig. 13 In-Store Analytics Market: Solution Type movement analysis 2024 & 2030 (USD Million)
  • Fig. 14 Shopper Traffic Analysis market revenue estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 15 Queue Management market revenue estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 16 Planogram Compliance market revenue estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 17 Inventory Management market revenue estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 18 In-Store Analytics Market: Deployment outlook key takeaways (USD Million)
  • Fig. 19 In-Store Analytics Market: Deployment movement analysis 2024 & 2030 (USD Million)
  • Fig. 20 Cloud market revenue estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 21 On-premises market revenue estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 22 In-Store Analytics Market: application outlook key takeaways (USD Million)
  • Fig. 23 In-Store Analytics Market: application movement analysis 2024 & 2030 (USD Million)
  • Fig. 24 Merchandising Analysis market revenue estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 25 Retail Performance Management market revenue estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 26 Customer Experience Enhancement market revenue estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 27 Loss Prevention and Security market revenue estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 28 Regional marketplace: Key takeaways
  • Fig. 29 In-Store Analytics Market: Regional outlook, 2024 & 2030 (USD Million)
  • Fig. 30 North America In-Store Analytics Market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 31 U.S. In-Store Analytics Market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 32 Canada In-Store Analytics Market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 33 Mexico In-Store Analytics Market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 34 Europe In-Store Analytics Market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 35 UK In-Store Analytics Market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 36 Germany In-Store Analytics Market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 37 France In-Store Analytics Market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 38 Asia Pacific In-Store Analytics Market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 39 China In-Store Analytics Market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 40 Japan In-Store Analytics Market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 41 India In-Store Analytics Market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 42 South Korea In-Store Analytics Market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 43 Australia In-Store Analytics Market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 44 Latin America In-Store Analytics Market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 45 Brazil In-Store Analytics Market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 46 MEA In-Store Analytics Market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 47 KSA In-Store Analytics Market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 48 UAE In-Store Analytics Market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 49 South Africa In-Store Analytics Market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 50 Company Categorization
  • Fig. 51 Company Market Positioning
  • Fig. 52 Strategy framework