Big data describes a large volume of data that is used to reveal patterns, trends, and associations, especially relating to human behavior and interactions. For the retail industry, big data is used for a greater understanding of consumer shopping habits and how to attract new customers. Big data analytics in retail enables companies to create customer recommendations based on their purchase history, resulting in personalized shopping experiences. These big data analytics solutions also help in forecasting trends and making strategic decisions based on market analysis. This report features information on big data analytics in retail and services offered by key vendors. Furthermore, it highlights the strategies adopted by key market players to improve the market share and sustain competition. Key players profiled in the market include Alteryx Inc., IBM, Microsoft, Microstrategy Inc., Oracle Corporation, Qlik Technologies Inc., RetailNext, SAP SE, SAS institute, and Teradata.

CHAPTER 1: INTRODUCTION 

CHAPTER 2: EXECUTIVE SUMMARY 

CHAPTER 3: MARKET OVERVIEW

CHAPTER 4: BIG DATA ANALYTICS IN RETAIL MARKET, BY COMPONENT

CHAPTER 5: BIG DATA ANALYTICS IN RETAIL MARKET, BY DEPLOYMENT 

CHAPTER 6: BIG DATA ANALYTICS IN RETAIL MARKET, BY ORGANIZATION SIZE

CHAPTER 7: BIG DATA ANALYTICS IN RETAIL MARKET, BY APPLICATION

CHAPTER 8: BIG DATA ANALYTICS IN RETAIL MARKET, BY REGION

CHAPTER 9: COMPETITIVE LANDSCAPE

CHAPTER 10: COMPANY PROFILE