인스토어 애널리틱스 시장 규모, 점유율 및 동향 분석 보고서 : 솔루션 유형, 배포, 용도, 지역 및 부문별 예측(2024-2030년)

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