
In-Store Analytics involves finding deeper insights from consumer behavioral data. It offers retailer a closer real-time look at their requirements, taste & preferences, perception and expectation when visiting a store. The global In-Store analytics Market is poised to flourish in the coming years with the rising ICT spending in developed and developing countries.
The in-store analytics market by component covers software and services. The software segment outperforms the services segment and would see growth in the future, due to higher adoption of software. The in-store analytics software enables stores to monitor sales for identifying customer preferences and developing business plans accordingly. Through early identification of trends and anomalies, stores can also predict risks, such as shoplifting and OOS situations. Furthermore, emerging technologies, such as AI, and integration capabilities of in-store analytics software have facilitated prediction of customer demand in real time.