Part 1. Introduction

• 1.1 Market Definition
• 1.2 Key Benefit
• 1.3 Market Segment

Part 2. Methodology

• 2.1 Primary
• 2.2 Secondary

Part 3. Executive Summary

Part 4. Market Overview

• 4.1 Introduction
• 4.2 Market Size and Forecast
• 4.3 Market Dynamics
  • 4.3.1 Drivers
  • 4.3.2 Restraints
• 4.4 Impact of COVID-19 Pandemic

Part 5. Global Market for Big Data Analytics in Retail by Component

• 5.1 Software
  • 5.1.1 Market Size and Forecast
• 5.2 Service
  • 5.2.1 Market Size and Forecast

Part 6. Global Market for Big Data Analytics in Retail by Deployment Mode

• 6.1 Cloud-Based
  • 6.1.1 Market Size and Forecast
• 6.2 On-Premise
  • 6.2.1 Market Size and Forecast

Part 7. Global Market for Big Data Analytics in Retail by Application

• 7.1 Customer Analytics
  • 7.1.1 Market Size and Forecast
• 7.2 Merchandising Analytics
  • 7.2.1 Market Size and Forecast
• 7.3 Sales And Marketing Analytics
  • 7.3.1 Market Size and Forecast
• 7.4 Supply Chain Operations Management
  • 7.4.1 Market Size and Forecast
• 7.5 Others
  • 7.5.1 Market Size and Forecast

Part 8. Global Market for Big Data Analytics in Retail by Region

• 8.1 Asia-Pacific
  • 8.1.1 Market Size and Forecast
• 8.2 Europe
  • 8.2.1 Market Size and Forecast
• 8.3 North America
  • 8.3.1 Market Size and Forecast
• 8.4 Middle East And Africa (Mea)
  • 8.4.1 Market Size and Forecast
• 8.5 South America
  • 8.5.1 Market Size and Forecast

Part 9. Key Competitor Profiles

• 9.1 IBM Corporation
• 9.2 Microsoft Corporation
• 9.3 Oracle corporation
• 9.4 SAP SE

*LIST IS NOT EXHAUSTIVE

Part 10. Patent Analysis

• 10.1 Patent Statistics
• 10.2 Regional Analysis
• 10.3 Trends Analysis

DISCLAIMER

ABOUT GEN CONSULTING COMPANY

The global big data analytics in retail market is projected to grow at a compound annual growth rate (CAGR) of 21.88% during the forecast period 2021-2027, according to the new report published by Gen Consulting Company.

The report provides in-depth analysis and insights regarding the current global market scenario, latest trends and drivers into global big data analytics in retail market. It offers an exclusive insight into various details such as market size, key trends, competitive landscape, company share of market leaders, growth rate and market segments.

The big data analytics in retail market is segmented on the basis of component, deployment mode, application, and region. The big data analytics in retail market is segmented as below:

By Component:
- software
- service

By Deployment Mode:
- cloud-based
- on-premise

By Application:
- customer analytics
- merchandising analytics
- sales and marketing analytics
- supply chain operations management
- others

By Region:
- region
- Asia-Pacific
- Europe
- North America
- Middle East and Africa (MEA)
- South America

The market research report covers the analysis of key stake holders of the big data analytics in retail market. Some of the leading players profiled in the report include IBM Corporation, Microsoft Corporation, Oracle corporation, SAP SE, among others.
*list is not exhaustive, request free sample to get a complete list of companies

Historical & Forecast Period
This research report provides analysis for each segment from 2017 to 2027 considering 2020 to be the base year.

Scope of the Report
- To analyze and forecast the market size of the global big data analytics in retail market.
- To classify and forecast the global big data analytics in retail market based on component, deployment mode, application, and region.
- To identify drivers and challenges for the global big data analytics in retail market.
- To examine competitive developments such as mergers & acquisitions, agreements, collaborations and partnerships, etc., in the global big data analytics in retail market.
- To conduct pricing analysis for the global big data analytics in retail market.
- To identify and analyze the profile of leading players operating in the global big data analytics in retail market.

Why Choose This Report
- Gain a reliable outlook of the global big data analytics in retail market forecasts from 2021 to 2027 across scenarios.
- Identify growth segments for investment.
- Stay ahead of competitors through company profiles and market data.
- The market estimate for ease of analysis across scenarios in Excel format.
- Strategy consulting and research support for three months.
- Print authentication provided for the single-user license.