Pune, Maharashtra -- (SBWIRE) -- 08/26/2020 -- The global In-store analytics market is studied in detail in the new report on Qualiket Research. The new report studies the In-store analytics market by profiling its major driving factors and restraining factors, compiling a comprehensive database on the market's historical growth trajectory and present conditions, and by using easy formulation of calculations and estimations through the use of industry-leading analytical tools and methods. The key economic factors affecting the global In-store analytics market are studied in detail in the global In-store analytics market report, including a detailed assessment of the microeconomic and macroeconomic environment of the market.

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

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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

Major Points Covered in Table of Content
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
7 Global In-Store Analytics Market, By Region
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