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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

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.

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.

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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 2027?
  • 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?

 

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