세계의 인스토어 애널리틱스 시장 규모, 점유율, 동향 분석 보고서 : 도입별, 솔루션 유형별, 용도별, 지역별 전망 및 예측(2025-2032년)

The Global In-store Analytics Market size is expected to reach $22.34 billion by 2032, rising at a market growth of 21.4% CAGR during the forecast period.

The North America segment recorded 37% revenue share in the market in 2024. This growth can be attributed to the high adoption of advanced retail technologies across the region, particularly in countries like the United States and Canada. Retailers in North America have increasingly embraced data-driven strategies to enhance customer experience, optimize inventory management, and boost operational efficiency. The presence of key market players and the availability of robust infrastructure for data collection and analytics have further contributed to the region's leadership in the market.

The major strategies followed by the market participants are Product Launches as the key developmental strategy to keep pace with the changing demands of end users. For instance, In March, 2025, SAP SE unveiled AI-driven retail solutions, including SAP S/4HANA Cloud Public Edition and a generative AI assistant, Joule. These tools aim to enhance customer engagement, streamline operations, and optimize supply chains. Retailers are adopting AI for personalized experiences, efficient inventory management, and dynamic pricing strategies. Moreover, In January, 2025, Zebra Technologies Corporation unveiled new AI-powered solutions designed to enhance retail frontline operations. These innovations focus on improving customer service, streamlining workflows, and optimizing store management with real-time insights. By leveraging advanced technology, Zebra aims to empower retail teams, ensuring better decision-making and efficient operations for both in-store and online environments.

KBV Cardinal Matrix - In-store Analytics Market Competition Analysis

Based on the Analysis presented in the KBV Cardinal matrix; Microsoft Corporation is the forerunner in the In-store Analytics Market. In January, 2024, Microsoft Corporation unveiled new generative AI data tools tailored for the retail sector. These innovations aim to help retailers enhance decision-making, optimize operations, and improve customer experiences by leveraging AI-powered analytics and data insights. The tools are part of Microsoft's ongoing push to advance industry-specific AI solutions. Companies such as IBM Corporation, Honeywell International, Inc., and SAP SE are some of the key innovators in In-store Analytics Market.

Market Growth Factors

The retail landscape transforms as businesses increasingly leverage advanced technologies to deliver superior customer experiences and optimize operations. These analytics solutions play a central role in this transformation, enabling retailers to gather and analyze vast amounts of real-time data on customer behaviors, store performance, product engagement, and sales trends. By utilizing computer vision, IoT sensors, and Wi-Fi tracking, retailers can better understand how customers interact with physical spaces. Thus, the growing integration of advanced technologies in retail is transforming customer experiences and streamlining operations, setting a strong foundation for the widespread adoption of in-store analytics.

Additionally, The growing emphasis on data-driven decision-making in retail fuels the demand for these analytics solutions. With the increasing complexity of consumer behavior and heightened competition, retailers can no longer rely on intuition or outdated sales reports to guide strategy. These analytics empowers retailers with granular, actionable insights into every aspect of the customer journey-from entrance to exit-allowing them to make informed decisions based on actual behavior patterns. As a result, businesses that prioritize data-driven insights are better positioned to navigate market fluctuations, improve ROI, and enhance their overall competitiveness in a rapidly evolving industry.

Market Restraining Factors

However, One of the major barriers hindering the widespread adoption of these analytics is the substantial initial investment required for implementation. Retailers, particularly small and mid-sized enterprises, often find the capital expense associated with hardware, software, integration, and infrastructure upgrades daunting. Solutions such as AI-enabled cameras, sensors, advanced POS systems, cloud storage, and analytics dashboards require a significant financial outlay. As a result, despite the transformative potential of these analytics, high costs remain a critical roadblock to market penetration, especially among smaller players.

Deployment Outlook

On the basis of deployment, the market is classified into cloud and on-premises. The on-premises segment recorded 32% revenue share in the market in 2024. This deployment model remains preferred for large retailers and enterprises that prioritize data security, control, and compliance with industry-specific regulations. On-premises solutions allow businesses to maintain direct oversight of their data infrastructure and customize analytics systems according to specific operational needs.

Solution Type Outlook

Based on Solution Type, the market is characterized into shopper traffic analysis, Inventory management, queue management, planogram compliance, and in-store navigation. The Inventory management segment procured 25% revenue share in the market in 2024. Accurate inventory tracking is crucial for maintaining product availability, minimizing stockouts, and reducing overstock situations. In-store analytics helps retailers monitor stock levels, forecast demand, and streamline replenishment processes. As customer expectations for product availability and speed of service increase, effective inventory management powered by analytics has become an essential component of modern retail operations, driving strong market demand for this application.

Application Outlook

By application, the market is divided into merchandising analysis, retail performance management, customer experience enhancement, and loss prevention & security. The customer experience enhancement segment garnered 28% revenue share in the market in 2024. Retailers have increasingly prioritized personalizing shopping experiences to attract and retain customers. Through in-store analytics, businesses can gain deeper insights into customer preferences, foot traffic patterns, and behavioural trends. This allows for tailored marketing strategies, improved store layouts, and targeted engagement, increasing customer satisfaction.

Regional Outlook

Region-wise, the market is analyzed across North America, Europe, Asia Pacific, and LAMEA. The Europe segment witnessed 30% revenue share in the market in 2024. This was primarily driven by the increasing digital transformation in the retail sector across countries such as Germany, the UK, and France. European retailers have invested in in-store technologies to gain actionable insights into customer behaviour and improve overall store performance. The growing emphasis on improving customer engagement and regulatory support for digital innovation has facilitated the deployment of advanced analytics tools.

Market Competition and Attributes

The In-store Analytics Market remains highly competitive, driven by startups and mid-sized firms offering specialized solutions. These players focus on affordable, AI-driven tools, real-time data processing, and personalized customer insights. Innovation and agility help them capture niche segments, while partnerships with retailers and tech providers enhance their presence in this rapidly evolving, data-centric retail environment.

Recent Strategies Deployed in the Market

• Jan-2025: Honeywell International, Inc. teamed up with Verizon to launch a new solution designed to streamline the retail lifecycle. The collaboration aims to enhance retail operations by integrating advanced connectivity and data-driven insights, helping businesses improve efficiency, reduce costs, and deliver better customer experiences across their retail environments.
• Sep-2024: Zebra Technologies Corporation unveiled three new solutions at its ZONE customer conferences, aimed at improving retail efficiency. These include the Zebra Kiosk System, Zebra Workcloud Actionable Intelligence 7.0, and the ET6x rugged tablets. These innovations leverage AI, cloud, and machine learning to enhance workflow and customer experiences in modern retail environments.
• Aug-2024: Capillary Technologies India Limited partnered with Loyalty TV to enhance customer engagement through video-based loyalty experiences. This collaboration aims to combine Capillary's loyalty solutions with Loyalty TV's innovative platform, offering brands a new way to connect with customers and boost retention through interactive, personalized video content.
• Aug-2024: IBM Corporation announced the acquisition of Prescinto, an AI-driven software provider specializing in asset performance management for renewable energy. This aims to enhance IBM's AI and data platform capabilities in the energy sector, helping clients improve efficiency and sustainability across solar, wind, and energy storage operations through advanced analytics and real-time monitoring.
• May-2024: RetailNext, Inc. teamed up with pass_by, an AI-driven geospatial insights platform, to offer retailers enhanced store performance analysis. Combining RetailNext's real-time sensor data with pass_by's predictive capabilities, the collaboration provides retailers with a comprehensive view of current and forecasted trends, competitor activity, and market shifts to optimize operations and decision-making.

List of Key Companies Profiled

• RetailNext, Inc.
• Capillary Technologies India Limited
• SAP SE
• Honeywell International, Inc.
• Microsoft Corporation
• Mood Media, LLC
• IBM Corporation
• Johnson Controls International PLC
• Trax Technology Solutions Pte Ltd.
• Zebra Technologies Corporation

Global In-store Analytics Market Report Segmentation

By Deployment

• Cloud
• On-premises

By Solution Type

• Shopper Traffic Analysis
• Inventory Management
• Queue Management
• Planogram Compliance
• In-Store Navigation

By Application

• Merchandising Analysis
• Customer Experience Enhancement
• Retail Performance Management
• Loss Prevention and Security

By Geography

• North America
  • US
  • Canada
  • Mexico
  • Rest of North America
• Europe
  • Germany
  • UK
  • France
  • Russia
  • Spain
  • Italy
  • Rest of Europe
• Asia Pacific
  • China
  • Japan
  • India
  • South Korea
  • Singapore
  • Malaysia
  • Rest of Asia Pacific
• LAMEA
  • Brazil
  • Argentina
  • UAE
  • Saudi Arabia
  • South Africa
  • Nigeria
• Rest of LAMEA

Table of Contents

Chapter 1. Market Scope & Methodology

• 1.1 Market Definition
• 1.2 Objectives
• 1.3 Market Scope
• 1.4 Segmentation
  • 1.4.1 Global In-store Analytics Market, by Deployment
  • 1.4.2 Global In-store Analytics Market, by Solution Type
  • 1.4.3 Global In-store Analytics Market, by Application
  • 1.4.4 Global In-store Analytics Market, by Geography
• 1.5 Methodology for the research

Chapter 2. Market at a Glance

• 2.1 Key Highlights

Chapter 3. Market Overview

• 3.1 Introduction
  • 3.1.1 Overview
    • 3.1.1.1 Market Composition and Scenario
• 3.2 Key Factors Impacting the Market
  • 3.2.1 Market Drivers
  • 3.2.2 Market Restraints
  • 3.2.3 Market Opportunities
  • 3.2.4 Market Challenges

Chapter 4. Competition Analysis - Global

• 4.1 KBV Cardinal Matrix
• 4.2 Recent Industry Wide Strategic Developments
  • 4.2.1 Partnerships, Collaborations and Agreements
  • 4.2.2 Product Launches and Product Expansions
  • 4.2.3 Acquisition and Mergers
• 4.3 Market Share Analysis, 2024
• 4.4 Top Winning Strategies
  • 4.4.1 Key Leading Strategies: Percentage Distribution (2021-2025)
  • 4.4.2 Key Strategic Move: (Product Launches and Product Expansions: 2022, Aug - 2025, Mar) Leading Players
• 4.5 Porter Five Forces Analysis

Chapter 5. Global In-store Analytics Market by Deployment

• 5.1 Global Cloud Market by Region
• 5.2 Global On-premises Market by Region

Chapter 6. Global In-store Analytics Market by Solution Type

• 6.1 Global Shopper Traffic Analysis Market by Region
• 6.2 Global Inventory Management Market by Region
• 6.3 Global Queue Management Market by Region
• 6.4 Global Planogram Compliance Market by Region
• 6.5 Global In-Store Navigation Market by Region

Chapter 7. Global In-store Analytics Market by Application

• 7.1 Global Merchandising Analysis Market by Region
• 7.2 Global Customer Experience Enhancement Market by Region
• 7.3 Global Retail Performance Management Market by Region
• 7.4 Global Loss Prevention and Security Market by Region

Chapter 8. Global In-store Analytics Market by Region

• 8.1 North America In-store Analytics Market
  • 8.1.1 North America In-store Analytics Market by Deployment
    • 8.1.1.1 North America Cloud Market by Country
    • 8.1.1.2 North America On-premises Market by Country
  • 8.1.2 North America In-store Analytics Market by Solution Type
    • 8.1.2.1 North America Shopper Traffic Analysis Market by Country
    • 8.1.2.2 North America Inventory Management Market by Country
    • 8.1.2.3 North America Queue Management Market by Country
    • 8.1.2.4 North America Planogram Compliance Market by Country
    • 8.1.2.5 North America In-Store Navigation Market by Country
  • 8.1.3 North America In-store Analytics Market by Application
    • 8.1.3.1 North America Merchandising Analysis Market by Country
    • 8.1.3.2 North America Customer Experience Enhancement Market by Country
    • 8.1.3.3 North America Retail Performance Management Market by Country
    • 8.1.3.4 North America Loss Prevention and Security Market by Country
  • 8.1.4 North America In-store Analytics Market by Country
    • 8.1.4.1 US In-store Analytics Market
      • 8.1.4.1.1 US In-store Analytics Market by Deployment
      • 8.1.4.1.2 US In-store Analytics Market by Solution Type
      • 8.1.4.1.3 US In-store Analytics Market by Application
    • 8.1.4.2 Canada In-store Analytics Market
      • 8.1.4.2.1 Canada In-store Analytics Market by Deployment
      • 8.1.4.2.2 Canada In-store Analytics Market by Solution Type
      • 8.1.4.2.3 Canada In-store Analytics Market by Application
    • 8.1.4.3 Mexico In-store Analytics Market
      • 8.1.4.3.1 Mexico In-store Analytics Market by Deployment
      • 8.1.4.3.2 Mexico In-store Analytics Market by Solution Type
      • 8.1.4.3.3 Mexico In-store Analytics Market by Application
    • 8.1.4.4 Rest of North America In-store Analytics Market
      • 8.1.4.4.1 Rest of North America In-store Analytics Market by Deployment
      • 8.1.4.4.2 Rest of North America In-store Analytics Market by Solution Type
      • 8.1.4.4.3 Rest of North America In-store Analytics Market by Application
• 8.2 Europe In-store Analytics Market
  • 8.2.1 Europe In-store Analytics Market by Deployment
    • 8.2.1.1 Europe Cloud Market by Country
    • 8.2.1.2 Europe On-premises Market by Country
  • 8.2.2 Europe In-store Analytics Market by Solution Type
    • 8.2.2.1 Europe Shopper Traffic Analysis Market by Country
    • 8.2.2.2 Europe Inventory Management Market by Country
    • 8.2.2.3 Europe Queue Management Market by Country
    • 8.2.2.4 Europe Planogram Compliance Market by Country
    • 8.2.2.5 Europe In-Store Navigation Market by Country
  • 8.2.3 Europe In-store Analytics Market by Application
    • 8.2.3.1 Europe Merchandising Analysis Market by Country
    • 8.2.3.2 Europe Customer Experience Enhancement Market by Country
    • 8.2.3.3 Europe Retail Performance Management Market by Country
    • 8.2.3.4 Europe Loss Prevention and Security Market by Country
  • 8.2.4 Europe In-store Analytics Market by Country
    • 8.2.4.1 Germany In-store Analytics Market
      • 8.2.4.1.1 Germany In-store Analytics Market by Deployment
      • 8.2.4.1.2 Germany In-store Analytics Market by Solution Type
      • 8.2.4.1.3 Germany In-store Analytics Market by Application
    • 8.2.4.2 UK In-store Analytics Market
      • 8.2.4.2.1 UK In-store Analytics Market by Deployment
      • 8.2.4.2.2 UK In-store Analytics Market by Solution Type
      • 8.2.4.2.3 UK In-store Analytics Market by Application
    • 8.2.4.3 France In-store Analytics Market
      • 8.2.4.3.1 France In-store Analytics Market by Deployment
      • 8.2.4.3.2 France In-store Analytics Market by Solution Type
      • 8.2.4.3.3 France In-store Analytics Market by Application
    • 8.2.4.4 Russia In-store Analytics Market
      • 8.2.4.4.1 Russia In-store Analytics Market by Deployment
      • 8.2.4.4.2 Russia In-store Analytics Market by Solution Type
      • 8.2.4.4.3 Russia In-store Analytics Market by Application
    • 8.2.4.5 Spain In-store Analytics Market
      • 8.2.4.5.1 Spain In-store Analytics Market by Deployment
      • 8.2.4.5.2 Spain In-store Analytics Market by Solution Type
      • 8.2.4.5.3 Spain In-store Analytics Market by Application
    • 8.2.4.6 Italy In-store Analytics Market
      • 8.2.4.6.1 Italy In-store Analytics Market by Deployment
      • 8.2.4.6.2 Italy In-store Analytics Market by Solution Type
      • 8.2.4.6.3 Italy In-store Analytics Market by Application
    • 8.2.4.7 Rest of Europe In-store Analytics Market
      • 8.2.4.7.1 Rest of Europe In-store Analytics Market by Deployment
      • 8.2.4.7.2 Rest of Europe In-store Analytics Market by Solution Type
      • 8.2.4.7.3 Rest of Europe In-store Analytics Market by Application
• 8.3 Asia Pacific In-store Analytics Market
  • 8.3.1 Asia Pacific In-store Analytics Market by Deployment
    • 8.3.1.1 Asia Pacific Cloud Market by Country
    • 8.3.1.2 Asia Pacific On-premises Market by Country
  • 8.3.2 Asia Pacific In-store Analytics Market by Solution Type
    • 8.3.2.1 Asia Pacific Shopper Traffic Analysis Market by Country
    • 8.3.2.2 Asia Pacific Inventory Management Market by Country
    • 8.3.2.3 Asia Pacific Queue Management Market by Country
    • 8.3.2.4 Asia Pacific Planogram Compliance Market by Country
    • 8.3.2.5 Asia Pacific In-Store Navigation Market by Country
  • 8.3.3 Asia Pacific In-store Analytics Market by Application
    • 8.3.3.1 Asia Pacific Merchandising Analysis Market by Country
    • 8.3.3.2 Asia Pacific Customer Experience Enhancement Market by Country
    • 8.3.3.3 Asia Pacific Retail Performance Management Market by Country
    • 8.3.3.4 Asia Pacific Loss Prevention and Security Market by Country
  • 8.3.4 Asia Pacific In-store Analytics Market by Country
    • 8.3.4.1 China In-store Analytics Market
      • 8.3.4.1.1 China In-store Analytics Market by Deployment
      • 8.3.4.1.2 China In-store Analytics Market by Solution Type
      • 8.3.4.1.3 China In-store Analytics Market by Application
    • 8.3.4.2 Japan In-store Analytics Market
      • 8.3.4.2.1 Japan In-store Analytics Market by Deployment
      • 8.3.4.2.2 Japan In-store Analytics Market by Solution Type
      • 8.3.4.2.3 Japan In-store Analytics Market by Application
    • 8.3.4.3 India In-store Analytics Market
      • 8.3.4.3.1 India In-store Analytics Market by Deployment
      • 8.3.4.3.2 India In-store Analytics Market by Solution Type
      • 8.3.4.3.3 India In-store Analytics Market by Application
    • 8.3.4.4 South Korea In-store Analytics Market
      • 8.3.4.4.1 South Korea In-store Analytics Market by Deployment
      • 8.3.4.4.2 South Korea In-store Analytics Market by Solution Type
      • 8.3.4.4.3 South Korea In-store Analytics Market by Application
    • 8.3.4.5 Singapore In-store Analytics Market
      • 8.3.4.5.1 Singapore In-store Analytics Market by Deployment
      • 8.3.4.5.2 Singapore In-store Analytics Market by Solution Type
      • 8.3.4.5.3 Singapore In-store Analytics Market by Application
    • 8.3.4.6 Malaysia In-store Analytics Market
      • 8.3.4.6.1 Malaysia In-store Analytics Market by Deployment
      • 8.3.4.6.2 Malaysia In-store Analytics Market by Solution Type
      • 8.3.4.6.3 Malaysia In-store Analytics Market by Application
    • 8.3.4.7 Rest of Asia Pacific In-store Analytics Market
      • 8.3.4.7.1 Rest of Asia Pacific In-store Analytics Market by Deployment
      • 8.3.4.7.2 Rest of Asia Pacific In-store Analytics Market by Solution Type
      • 8.3.4.7.3 Rest of Asia Pacific In-store Analytics Market by Application
• 8.4 LAMEA In-store Analytics Market
  • 8.4.1 LAMEA In-store Analytics Market by Deployment
    • 8.4.1.1 LAMEA Cloud Market by Country
    • 8.4.1.2 LAMEA On-premises Market by Country
  • 8.4.2 LAMEA In-store Analytics Market by Solution Type
    • 8.4.2.1 LAMEA Shopper Traffic Analysis Market by Country
    • 8.4.2.2 LAMEA Inventory Management Market by Country
    • 8.4.2.3 LAMEA Queue Management Market by Country
    • 8.4.2.4 LAMEA Planogram Compliance Market by Country
    • 8.4.2.5 LAMEA In-Store Navigation Market by Country
  • 8.4.3 LAMEA In-store Analytics Market by Application
    • 8.4.3.1 LAMEA Merchandising Analysis Market by Country
    • 8.4.3.2 LAMEA Customer Experience Enhancement Market by Country
    • 8.4.3.3 LAMEA Retail Performance Management Market by Country
    • 8.4.3.4 LAMEA Loss Prevention and Security Market by Country
  • 8.4.4 LAMEA In-store Analytics Market by Country
    • 8.4.4.1 Brazil In-store Analytics Market
      • 8.4.4.1.1 Brazil In-store Analytics Market by Deployment
      • 8.4.4.1.2 Brazil In-store Analytics Market by Solution Type
      • 8.4.4.1.3 Brazil In-store Analytics Market by Application
    • 8.4.4.2 Argentina In-store Analytics Market
      • 8.4.4.2.1 Argentina In-store Analytics Market by Deployment
      • 8.4.4.2.2 Argentina In-store Analytics Market by Solution Type
      • 8.4.4.2.3 Argentina In-store Analytics Market by Application
    • 8.4.4.3 UAE In-store Analytics Market
      • 8.4.4.3.1 UAE In-store Analytics Market by Deployment
      • 8.4.4.3.2 UAE In-store Analytics Market by Solution Type
      • 8.4.4.3.3 UAE In-store Analytics Market by Application
    • 8.4.4.4 Saudi Arabia In-store Analytics Market
      • 8.4.4.4.1 Saudi Arabia In-store Analytics Market by Deployment
      • 8.4.4.4.2 Saudi Arabia In-store Analytics Market by Solution Type
      • 8.4.4.4.3 Saudi Arabia In-store Analytics Market by Application
    • 8.4.4.5 South Africa In-store Analytics Market
      • 8.4.4.5.1 South Africa In-store Analytics Market by Deployment
      • 8.4.4.5.2 South Africa In-store Analytics Market by Solution Type
      • 8.4.4.5.3 South Africa In-store Analytics Market by Application
    • 8.4.4.6 Nigeria In-store Analytics Market
      • 8.4.4.6.1 Nigeria In-store Analytics Market by Deployment
      • 8.4.4.6.2 Nigeria In-store Analytics Market by Solution Type
      • 8.4.4.6.3 Nigeria In-store Analytics Market by Application
    • 8.4.4.7 Rest of LAMEA In-store Analytics Market
      • 8.4.4.7.1 Rest of LAMEA In-store Analytics Market by Deployment
      • 8.4.4.7.2 Rest of LAMEA In-store Analytics Market by Solution Type
      • 8.4.4.7.3 Rest of LAMEA In-store Analytics Market by Application

Chapter 9. Company Profiles

• 9.1 RetailNext Inc.
  • 9.1.1 Company Overview
  • 9.1.2 Recent strategies and developments:
    • 9.1.2.1 Partnerships, Collaborations, and Agreements:
• 9.2 Capillary Technologies India Limited
  • 9.2.1 Company Overview
  • 9.2.2 Financial Analysis
  • 9.2.3 Regional Analysis
  • 9.2.4 Recent strategies and developments:
    • 9.2.4.1 Partnerships, Collaborations, and Agreements:
  • 9.2.5 SWOT Analysis
• 9.3 SAP SE
  • 9.3.1 Company Overview
  • 9.3.2 Financial Analysis
  • 9.3.3 Regional Analysis
  • 9.3.4 Research & Development Expense
  • 9.3.5 Recent strategies and developments:
    • 9.3.5.1 Product Launches and Product Expansions:
  • 9.3.6 SWOT Analysis
• 9.4 Honeywell International, Inc.
  • 9.4.1 Company Overview
  • 9.4.2 Financial Analysis
  • 9.4.3 Segmental and Regional Analysis
  • 9.4.4 Research & Development Expenses
  • 9.4.5 Recent strategies and developments:
    • 9.4.5.1 Partnerships, Collaborations, and Agreements:
  • 9.4.6 SWOT Analysis
• 9.5 Microsoft Corporation
  • 9.5.1 Company Overview
  • 9.5.2 Financial Analysis
  • 9.5.3 Segmental and Regional Analysis
  • 9.5.4 Research & Development Expenses
  • 9.5.5 Recent strategies and developments:
    • 9.5.5.1 Product Launches and Product Expansions:
  • 9.5.6 SWOT Analysis
• 9.6 Mood Media, LLC
  • 9.6.1 Company Overview
  • 9.6.2 Recent strategies and developments:
    • 9.6.2.1 Acquisition and Mergers:
• 9.7 IBM Corporation
  • 9.7.1 Company Overview
  • 9.7.2 Financial Analysis
  • 9.7.3 Regional & Segmental Analysis
  • 9.7.4 Research & Development Expenses
  • 9.7.5 Recent strategies and developments:
    • 9.7.5.1 Acquisition and Mergers:
  • 9.7.6 SWOT Analysis
• 9.8 Johnson Controls International PLC
  • 9.8.1 Company Overview
  • 9.8.2 Financial Analysis
  • 9.8.3 Segmental & Regional Analysis
  • 9.8.4 Research & Development Expenses
  • 9.8.5 SWOT Analysis
• 9.9 Trax Technology Solutions Pte. Ltd.
  • 9.9.1 Company Overview
  • 9.9.2 Recent strategies and developments:
    • 9.9.2.1 Product Launches and Product Expansions:
• 9.10. Zebra Technologies Corporation
  • 9.10.1 Company Overview
  • 9.10.2 Financial Analysis
  • 9.10.3 Segmental and Regional Analysis
  • 9.10.4 Research & Development Expenses
  • 9.10.5 Recent strategies and developments:
    • 9.10.5.1 Product Launches and Product Expansions:
  • 9.10.6 SWOT Analysis

Chapter 10. Winning Imperatives of In-store Analytics Market