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In-Store Analytics Market Size, Trends & Growth Opportunity By Type (Space Planning and Optimization, Store Operation Management), By Application (Cloud, and On-Premises), By Region and Forecast till 2030

Report ID : QR100474 | Industries : Information and Communication Technology | Published On :January 2024 | Page Count : 254
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Global In-Store Analytics Market 

In-store analytics are the solutions that aid retailers to connect and attract their customers.  This solution collects meaningful information regarding customer product preferences, purchase patterns, customer behavior, and demographic data. Also, in-store analytics optimizes the store performance of the retailers by improving the customer experience and overall sales.

 

Market Drivers

Increase in competition from e- commerce players is the key driving factor which is expected to boost the global in-store analytics market growth. Furthermore, increase in need for better customer service and enhanced shopping experience will have the positive impact on market growth. Moreover, increase in data volume around in- store operations will fuel the market growth.  In addition to that, adoption of cloud technologies in-store analytics and rise in adoption of in store analytics in underdeveloped countries will propel the market growth.

 

 

Market Restraints

However, data security and privacy concerns are the major restraining factors which are expected to hinder the global in-store analytics market growth. Also, lack skilled personnel will affect the market growth.

Market Segmentation

Global In-Store Analytics Market is segmented into application such as Space Planning and Optimization, Store Operation Management, and Customer Behavioral Analysis. Further, market is segmented into deployment type such as Cloud, and On-Premises.

Also, Global In-Store Analytics Market is segmented into five regions such as North America, Latin America, Europe, Asia Pacific, and Middle East & Africa.

Market Key Players

Various key players are discussed in this report such as RetailNext, Mindtree, Thinkinside,  Happiest Minds, SAP, Celect, Capillary Technologies, Inpixon, and Scanalytics

Market Taxonomy

By Application

  • Space Planning and Optimization

  • Store Operation Management

  • Customer Behavioral Analysis

By Deployment Type

  • Cloud

  • On Premise

By Region

  • North America

  • Latin America

  • Europe

  • Asia Pacific

  • Middle East & Africa

 

Key Questions Addressed by the Report

  • What are the Key Opportunities in In-Store Analytics Market?

  • What will be the growth rate from 2019 to 2030?

  • Which segment/region will have highest growth?

  • What are the factors that will impact/drive the Market?

  • What is the competitive Landscape in the Industry?

  • What is the role of key players in the value chain?

  • What are the strategies adopted by key players?

Global In-Store Analytics Market 

1 Introduction
1.1 Objective of the Study
1.2 Market definition
1.3 Market Scope

2 Research Methodology

2.1 Data Mining
2.2 Validation
2.3 Primary Interviews
2.4 List of Data Sources

3 Executive Summary
4 Global In-Store Analytics Market Outlook
4.1 Overview
4.2 Market Dynamics
4.2.1 Drivers
4.2.2 Restraints
4.2.3 Opportunities
4.3 Porters Five Force Model
4.4 Value Chain Analysis

5 Global In-Store Analytics Market, By Application
5.1 Y-o-Y Growth Comparison, By Application

5.2 Global In-Store Analytics Market Share Analysis, By Application

5.3 Global In-Store Analytics Market Size and Forecast, By Application
5.3.1 Space Planning and Optimizing

5.3.2 Store Operation Management

5.3.3Customer Behavioural Analysis

6 Global In-Store Analytics Market, By Deployment Type
6.1 Y-o-Y Growth Comparison, By Deployment Type

6.2 Global In-Store Analytics Market Share Analysis, By Deployment Type

6.3 Global In-Store Analytics Market Size and Forecast, By Deployment Type
6.3.1 Cloud
6.3.2 On-Premise

7Global In-Store Analytics Market, By Region
7.1 Global In-Store Analytics Market Share Analysis, By Region

7.2 Global In-Store Analytics Market Share Analysis, By Region

7.3 Global In-Store Analytics Market Size and Forecast, By Region

8North America In-Store Analytics Market Analysis and Forecast (2017 – 2030)
8.1 Introduction

8.2 North America In-Store Analytics Market Share Analysis, By Application

8.3 North America In-Store Analytics Market Size and Forecast, By Deployment Type

8.4 North America In-Store Analytics Market Size and Forecast, By Country

8.4.1 U.S
8.4.2 Canada
8.4.3 Mexico

9Europe In-Store Analytics Market Analysis and Forecast (2017 – 2030)
9.1 Introduction

9.2 Europe In-Store Analytics Market Share Analysis, By Application

9.3 Europe In-Store Analytics Market Size and Forecast, By Deployment Type

9.4 Europe In-Store Analytics Market Size and Forecast, By Country

9.4.1 Germany
9.4.2 France
9.4.3 UK

9.4.4. Rest of Europe

10Asia Pacific In-Store Analytics Market Analysis and Forecast (2017 – 2030)
10.1 Introduction

10.2 Asia Pacific In-Store Analytics Market Share Analysis, By Application

10.3 Asia Pacific In-Store Analytics Market Size and Forecast, By Deployment Type

10.4 Asia Pacific In-Store Analytics Market Size and Forecast, By Country

10.4.1 China
10.4.2 Japan
10.4.3 India

10.4.4. Rest of Asia Pacific

11Latin America In-Store Analytics Market Analysis and Forecast (2017 – 2030)
11.1 Introduction

11.2 Latin America In-Store Analytics Market Share Analysis, By Application

11.3 Latin America In-Store Analytics Market Size and Forecast, By Deployment Type

11.4 Latin America In-Store Analytics Market Size and Forecast, By Country

12Middle East In-Store Analytics Market Analysis and Forecast (2017 – 2030)
12.1 Introduction

12.2 Middle East In-Store Analytics Market Share Analysis, By Application

12.3 Middle East In-Store Analytics Market Size and Forecast, By Deployment Type

12.4 Middle East In-Store Analytics Market Size and Forecast, By Country

13Competitive Analysis
13.1 Competition Dashboard
13.2 Market share Analysis of Top Vendors
13.3 Key Development Strategies

14Company Profiles

15.1 RetailNext
15.1.1 Overview
15.1.2 Offerings
15.1.3 Key Financials
15.1.4 Business Segment & Geographic Overview

15.1.5 Key Market Developments

15.1.6 Key Strategies

15.2 Mindtree

15.2.1 Overview
15.2.2 Offerings
15.2.3 Key Financials
15.2.4 Business Segment & Geographic Overview

15.2.5 Key Market Developments

15.2.6 Key Strategies

15.3 Thinkinside
15.3.1 Overview
15.3.2 Offerings
15.3.3 Key Financials
15.3.4 Business Segment & Geographic Overview

15.3.5 Key Market Developments

15.3.6 Key Strategies

15.4   Happiest Minds
15.4.1 Overview
15.4.2 Offerings
15.4.3 Key Financials
15.4.4 Business Segment & Geographic Overview

15.4.5 Key Market Developments

15.4.6 Key Strategies

15.5 SAP
15.5.1 Overview
15.5.2 Offerings
15.5.3 Key Financials
15.5.4 Business Segment & Geographic Overview

15.5.5 Key Market Developments

15.5.6 Key Strategies

15.6 Celect
15.6.1 Overview
15.6.2 Offerings
15.6.3 Key Financials
15.6.4 Business Segment & Geographic Overview

15.6.5 Key Market Developments

15.6.6 Key Strategies

15.7 Capillary Technologies
15.7.1 Overview
15.7.2 Offerings
15.7.3 Key Financials
15.7.4 Business Segment & Geographic Overview

15.7.5 Key Market Developments

15.7.6 Key Strategies

15.8 Inpixon

15.8.1 Overview
15.8.2 Offerings
15.8.3 Key Financials
15.8.4 Business Segment & Geographic Overview

15.8.5 Key Market Developments

15.8.6 Key Strategies

15.9 Scanalytics

15.9.1 Overview
15.9.2 Offerings
15.9.3 Key Financials
15.9.4 Business Segment & Geographic Overview

15.9.5 Key Market Developments

15.9.6 Key Strategies

 

 

 

 

 

 

 

 

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