查看購物車
  • Simplified Chinese
  • English
  • Japanese
  • Korean
封面
市場調查報告書
商品編碼
1530608

店內分析市場規模、佔有率和趨勢分析報告：按解決方案類型、部署、應用程式、區域和細分市場進行預測，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個工作天內

價格

店內分析市場規模與趨勢

預計 2023 年全球店內分析市場規模將達到 41.7 億美元，2024 年至 2030 年複合年成長率預估為 21.8%。由於技術進步以及對可增強零售業務的資料主導解決方案的需求不斷成長，該市場正在經歷強勁成長。零售商擴大採用店內分析來更深入地了解客戶行為、簡化營運並改善整體購物體驗。這涉及在商店內部署感測器、攝影機和物聯網設備，以監控和分析消費者移動和客流量模式等各個方面。

這些技術描述了有關客戶如何與產品互動以及如何在商店中移動的即時資料。使用先進的分析平台對收集的資料進行處理和分析。這些平台利用演算法和機器學習從資料中獲取可操作的見解。例如，零售商可以根據流量分析最佳化商店佈局，透過預測需求模式改善庫存管理，並根據客戶偏好和行為實施有針對性的行銷策略。這種分析方法不僅有助於簡化業務，還有助於創建個人化的購物體驗，從而提高客戶滿意度和忠誠度。

由於對個人化客戶體驗和無縫全通路整合的日益關注，市場正在經歷顯著擴張。零售商正在部署分析解決方案，根據個人消費者的偏好和行為客製化促銷、推薦和服務。這種以客戶為中心的方法可以提高滿意度、提高銷售轉換率並培養客戶忠誠度。店內分析整合了線上和線下零售通路的洞察，提供跨不同接觸點的客戶旅程的統一觀點。這種整體方法使零售商能夠提供一致的體驗，包括高效的點擊提貨服務和個人化的店內互動，滿足數位連接消費者不斷變化的需求。隨著競爭的加劇，對於希望在競爭激烈的零售業中脫穎而出並獲得優勢的零售商來說，有效利用店內分析變得越來越重要。

與數位行銷策略的整合對於店內分析至關重要。因為透過店內分析，零售商可以根據顧客的即時需求和偏好提供及時且相關的促銷活動。透過利用店內分析平台的即時資料，零售商可以深入了解顧客的購物行為和偏好。這些資料使零售商能夠根據客戶的店內位置、過去的購買歷史記錄和瀏覽模式，針對客戶進行個人化行銷宣傳活動。將店內分析與數位行銷策略相結合也有助於全通路行銷工作，使零售商能夠同步線上和線下促銷活動，以獲得無縫的購物體驗。例如，在線上瀏覽的顧客可以利用從過去的互動中獲得的見解以及透過店內分析收集的位置資料來接收店內提供的個人化優惠。

全球店內分析市場報告細分

該報告預測了全球、區域和國家層面的收益成長，並對2018年至2030年各子區隔的最新行業趨勢進行了分析。在這項研究中，Grand View Research, Inc. 根據解決方案類型、部署、應用程式和區域對全球店內分析市場報告進行了細分。

目錄

第1章調查方法與範圍

第 2 章執行摘要

第 3 章 店內分析市場變數、趨勢和範圍

  • 市場介紹/系統展望
  • 市場動態
    • 市場促進因素分析
    • 市場限制因素分析
    • 產業挑戰
  • 店內分析市場分析工具
    • 波特的分析
    • PESTEL分析

第 4 章 店內分析市場：按解決方案類型進行估計和趨勢分析

  • 細分儀表板
  • 店內分析市場：2023 年和 2030 年解決方案類型變化分析
  • 買家流量分析
  • 佇列管理
  • 計劃合規性
  • 庫存管理
  • 店內導航

第5章店內分析市場：依發展估算與趨勢分析

  • 細分儀表板
  • 店內分析市場：2023 年和 2030 年的演變分析
  • 雲
  • 本地

第6章店內分析市場：按應用、估計和趨勢分析

  • 細分儀表板
  • 店內分析市場：2023 年和 2030 年應用變化分析
  • 商品行銷分析
  • 零售績效管理
  • 改善客戶體驗
  • 損失預防和安全

第7章店內分析市場：區域估計與趨勢分析

  • 店內分析市場佔有率（按地區），2023 年和 2030 年，百萬美元
  • 北美洲
    • 2018-2030 年北美店內分析市場估計與預測
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 2018-2030 年歐洲店內分析市場估計與預測
    • 英國
    • 德國
    • 法國
  • 亞太地區
    • 2018-2030 年亞太地區店內分析市場估計與預測
    • 中國
    • 日本
    • 印度
    • 韓國
    • 澳洲
  • 拉丁美洲
    • 2018-2030 年拉丁美洲店內分析市場估計與預測
    • 巴西
  • 中東/非洲
    • 2018-2030 年中東和非洲店內分析市場估計和預測
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 南非

第8章 競爭格局

  • 公司分類
  • 公司市場定位
  • 參與企業概況
  • 解決方案類型基準
  • 企業熱力圖分析
  • 策略規劃
  • 公司簡介/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