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Global In-Store Analytics Market to 2027

Publisher QualiKet Research
Published Feb 02, 2022
Length 197 Pages
SKU # QUA17148957

Description

Global In-Store Analytics Market to 2027

Global In-Store Analytics Market to 2027

Market Overview

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

Table of Contents

197 Pages
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
5.3.3 Customer 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
7 Global 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
8 North America In-Store Analytics Market Analysis and Forecast (2017 – 2027)
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
9 Europe In-Store Analytics Market Analysis and Forecast (2017 – 2027)
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
10 Asia Pacific In-Store Analytics Market Analysis and Forecast (2017 – 2027)
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
11 Latin America In-Store Analytics Market Analysis and Forecast (2017 – 2027)
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
12 Middle East In-Store Analytics Market Analysis and Forecast (2017 – 2027)
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
13 Competitive Analysis
13.1 Competition Dashboard
13.2 Market share Analysis of Top Vendors
13.3 Key Development Strategies
14 Company 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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