Retail Data Monetization Market Size, Share, COVID-19 impact, Opportunities, And Trends By Offering (Solution, Services), By Deployment Model (On-premise, Cloud), By Enterprise Size (Small, Medium, Large), And Geography - Forecasts From 2019 to 2024

  • Published : Jul 2021
  • Report Code : KSI061612670
  • Pages : 120
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The retail data monetization market is projected to grow at a CAGR of 3.84% during the forecast period. The rapid growth of this industry, on account of the booming growth of e-commerce across all major geographies worldwide, is one of the major factors driving the growth of this market. As both online and offline retail channels continue to witness impressive growth, players across this ecosystem are moving towards the digitization of business processes. Increasing digitization across business functions in this industry has been increasing exponentially the volume of data generated by them every day. The growing competition among enterprises in this industry is increasing the need among them to stay ahead of their rivals by continuously tracking their moves in order to plan their growth strategies. As huge volumes of data generated from business processes hold immense value and can be instrumental in giving enterprises actionable insights, the need to monetize it is increasing across the industry. This is fuelling the adoption of data monetization solutions, thus boosting the market growth.

DRIVERS

Growing competition across the retail industry

The increasing digitization of business functions

RESTRAINTS

Lack of awareness among some enterprises regarding the potential data monetization holds

Limited budget of some SMEs

The major players profiled in the retail data monetization market include Accenture, ALC, Gemalto, Google, IBM, Infosys, Monetize Solutions, and SAP.

Segmentation

The retail data monetization Market has been analyzed through the following segments:

By Offering

Solution

Services

By Deployment Model

On-premise

Cloud

By Enterprise Size

Small

Medium

Large

By Geography

North America

United States

Canada

Mexico

South America

Brazil

Argentina

Europe

UK

Germany

France

Italy

Others

Middle East and Africa

Saudi Arabia

UAE

Israel

Asia Pacific

Japan

China

India

Australia

Others

1. INTRODUCTION
1.1. Market Overview
1.2. Market Definition
1.3. Scope of the Study
1.4. Currency
1.5. Assumptions
1.6. Base, and Forecast Years Timeline
2. RESEARCH METHODOLOGY
2.1. Research Design
2.2. Secondary Sources
3. EXECUTIVE SUMMARY
4. MARKET DYNAMICS
4.1. Market Segmentation
4.2. Market Drivers
4.3. Market Restraints
4.4. Market Opportunities
4.5. Porter’s Five Force Analysis
4.5.1. Bargaining Power of Suppliers
4.5.2. Bargaining Power of Buyers
4.5.3. Threat of New Entrants
4.5.4. Threat of Substitutes
4.5.5. Competitive Rivalry in the Industry
4.6. Life Cycle Analysis - Regional Snapshot
4.7. Market Attractiveness
5. Retail Data Monetization Market by Offering
5.1. Solution
5.2. Services
6. Retail Data Monetization Market by Deployment Model
6.1. On-premise
6.2. Cloud
7. Retail Data Monetization Market by Enterprise Size
7.1. Small
7.2. Medium
7.3. Large
8. Retail Data Monetization Market by Geography
8.1. North America
8.1.1. United States
8.1.2. Canada
8.1.3. Mexico
8.2. South America
8.2.1. Brazil
8.2.2. Argentina
8.3. Europe
8.3.1. UK
8.3.2. Germany
8.3.3. France
8.3.4. Italy
8.3.5. Others
8.4. Middle East and Africa
8.4.1. Saudi Arabia
8.4.2. UAE
8.4.3. Israel
8.5. Asia Pacific
8.5.1. Japan
8.5.2. China
8.5.3. India
8.5.4. Australia
8.5.5. Others
9. Competitive Intelligence
9.1. Company Benchamarking and Analysis
9.2. Recent Investments and Deals
9.3. Strategies of Key Players
10. Company Profiles
10.1.Accenture
10.2.ALC
10.3.Gemalto
10.4. Google
10.5. IBM
10.6. Infosys
10.7. Monetize Solutions
10.8. SAP
List of Figures
List of Tables

Accenture

ALC

Gemalto

Google

IBM

Infosys

Monetize Solutions

SAP

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