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LAMEA Big Data Analytics in Retail Market by Component, Deployment Type, Organization Size, Application and Country: Industry Analysis and Forecast 2020-2026

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    Report

  • 139 Pages
  • September 2020
  • Region: Africa, Middle East
  • Marqual IT Solutions Pvt. Ltd (KBV Research)
  • ID: 5174681
The Latin America, Middle East and Africa Big Data Analytics in Retail Market is expected to witness market growth of 27.3% CAGR during the forecast period (2020-2026).

Today, retailers endeavor to discover imaginative approaches to draw bits of knowledge from the ever-expanding amount of organized and unorganized data available about their purchaser's behavior. Big Data analytics is presently being applied at each step of the retail cycle - directly from predicting the famous items to recognizing the users who are probably going to be interested in these items and what to sell them next.

For brands and retailers, information is the game-changer. Retail data analytics can assist organizations to stay updated on the shopping patterns by applying user analytics to reveal, decipher, and act on important data experiences, incorporating online customer and in-store patterns. The retailers - both offline and online - are embracing the data-first procedure towards understanding the purchasing behavior of their users, mapping them to items, and planning proper advertising strategies to sell their items to enrol greater profits.

Moreover, big data analytics solutions are utilized in retail likewise assist in preparing viable and effective advertising strategies to improve income. The growth in need for analyzing historic information to make more precise business decisions, increment in demand for analyzing user purchasing trends and anticipating patterns is further boosting the development of this market.

Based on Component, the market is segmented into Software and Services. Based on Deployment Type, the market is segmented into On-premise and Cloud. Based on Organization Size, the market is segmented into Large Enterprises and Small & Medium Enterprises. Based on Application, the market is segmented into Supply Chain Operations Management, Sales & Marketing Analytics, Customer Analytics, Merchandising Analytics and Others. Based on countries, the market is segmented into Brazil, Argentina, UAE, Saudi Arabia, South Africa, Nigeria, and Rest of LAMEA.

The market research report covers the analysis of key stakeholders of the market. Key companies profiled in the report include IBM Corporation, Microsoft Corporation, Oracle Corporation, SAP SE, Salesforce.com, Inc., Adobe, Inc., Teradata Corporation, MicroStrategy, Inc., Alteryx, Inc., and Zoho Corporation Pvt. Ltd.

Market Segmentation

By Component
  • Software
  • Services

By Deployment Type
  • On-premise
  • Cloud

By Organization Size
  • Large Enterprises
  • Small & Medium Enterprises

By Application
  • Supply Chain Operations Management
  • Sales & Marketing Analytics
  • Customer Analytics
  • Merchandising Analytics
  • Others

By Country
  • Brazil
  • Argentina
  • UAE
  • Saudi Arabia
  • South Africa
  • Nigeria
  • Rest of LAMEA

Companies Profiled
  • IBM Corporation
  • Microsoft Corporation
  • Oracle Corporation
  • SAP SE
  • Salesforce.com, Inc.
  • Adobe, Inc.
  • Teradata Corporation
  • MicroStrategy, Inc.
  • Alteryx, Inc.
  • Zoho Corporation Pvt. Ltd.

Unique Offerings
  • Exhaustive coverage
  • Highest number of market tables and figures
  • Subscription based model available
  • Guaranteed best price
  • Assured post sales research support with 10% customization free

Table of Contents

Chapter 1. Market Scope & Methodology
1.1 Market Definition
1.2 Objectives
1.3 Market Scope
1.4 Segmentation
1.4.1 Latin America, Middle East and Africa (LAMEA) Big Data Analytics in Retail Market, by Component
1.4.2 Latin America, Middle East and Africa (LAMEA) Big Data Analytics in Retail Market, by Deployment Type
1.4.3 Latin America, Middle East and Africa (LAMEA) Big Data Analytics in Retail Market, by Organization Size
1.4.4 Latin America, Middle East and Africa (LAMEA) Big Data Analytics in Retail Market, by Application
1.4.5 Latin America, Middle East and Africa (LAMEA) Big Data Analytics in Retail Market, by Country
1.5 Methodology for the Research
Chapter 2. Market Overview
2.1 Introduction
2.1.1 Overview
2.1.2 Executive Summary
2.1.3 Market Composition and Scenario
2.2 Key Factors Impacting the Market
2.2.1 Market Drivers
2.2.2 Market Restraints
Chapter 3. Competition Analysis - Global
3.1 Cardinal Matrix
3.2 Recent Industry Wide Strategic Developments
3.2.1 Partnerships, Collaborations and Agreements
3.2.2 Product Launches and Product Enhancements
3.2.3 Geographical Expansions
3.2.4 Mergers & Acquisitions
3.3 Top Winning Strategies
3.3.1 Key Leading Strategies: Percentage Distribution (2016-2020)
3.3.2 Key Strategic Moves: (Partnerships, Collaborations, and Agreements: 2016, Aug to 2020, Jun) Leading Players
3.3.3 Key Strategic Moves: (Product Launches and Product Enhancements: 2017, Jan to 2020, Jul) Leading Players
Chapter 4. LAMEA Big Data Analytics in Retail Market by Component
4.1 LAMEA Big Data Analytics in Retail Software Market by Country
4.2 LAMEA Big Data Analytics in Retail Services Market by Country
Chapter 5. LAMEA Big Data Analytics in Retail Market by Deployment Type
5.1 LAMEA On-premise Big Data Analytics in Retail Market by Country
5.2 LAMEA Cloud Big Data Analytics in Retail Market by Country
Chapter 6. LAMEA Big Data Analytics in Retail Market by Organization Size
6.1 LAMEA Large Enterprises Big Data Analytics in Retail Market by Country
6.2 LAMEA Small & Medium Enterprises Big Data Analytics in Retail Market by Country
Chapter 7. LAMEA Big Data Analytics in Retail Market by Application
7.1 LAMEA Supply Chain Operations Management Big Data Analytics in Retail Market by Country
7.2 LAMEA Sales & Marketing Analytics Big Data Analytics in Retail Market by Country
7.3 LAMEA Customer Analytics Big Data Analytics in Retail Market by Country
7.4 LAMEA Merchandising Analytics Big Data Analytics in Retail Market by Country
7.5 LAMEA Others Big Data Analytics in Retail Market by Country
Chapter 8. LAMEA Big Data Analytics in Retail Market by Country
8.1 Brazil Big Data Analytics in Retail Market
8.1.1 Brazil Big Data Analytics in Retail Market by Component
8.1.2 Brazil Big Data Analytics in Retail Market by Deployment Type
8.1.3 Brazil Big Data Analytics in Retail Market by Organization Size
8.1.4 Brazil Big Data Analytics in Retail Market by Application
8.2 Argentina Big Data Analytics in Retail Market
8.2.1 Argentina Big Data Analytics in Retail Market by Component
8.2.2 Argentina Big Data Analytics in Retail Market by Deployment Type
8.2.3 Argentina Big Data Analytics in Retail Market by Organization Size
8.2.4 Argentina Big Data Analytics in Retail Market by Application
8.3 UAE Big Data Analytics in Retail Market
8.3.1 UAE Big Data Analytics in Retail Market by Component
8.3.2 UAE Big Data Analytics in Retail Market by Deployment Type
8.3.3 UAE Big Data Analytics in Retail Market by Organization Size
8.3.4 UAE Big Data Analytics in Retail Market by Application
8.4 Saudi Arabia Big Data Analytics in Retail Market
8.4.1 Saudi Arabia Big Data Analytics in Retail Market by Component
8.4.2 Saudi Arabia Big Data Analytics in Retail Market by Deployment Type
8.4.3 Saudi Arabia Big Data Analytics in Retail Market by Organization Size
8.4.4 Saudi Arabia Big Data Analytics in Retail Market by Application
8.5 South Africa Big Data Analytics in Retail Market
8.5.1 South Africa Big Data Analytics in Retail Market by Component
8.5.2 South Africa Big Data Analytics in Retail Market by Deployment Type
8.5.3 South Africa Big Data Analytics in Retail Market by Organization Size
8.5.4 South Africa Big Data Analytics in Retail Market by Application
8.6 Nigeria Big Data Analytics in Retail Market
8.6.1 Nigeria Big Data Analytics in Retail Market by Component
8.6.2 Nigeria Big Data Analytics in Retail Market by Deployment Type
8.6.3 Nigeria Big Data Analytics in Retail Market by Organization Size
8.6.4 Nigeria Big Data Analytics in Retail Market by Application
8.7 Rest of LAMEA Big Data Analytics in Retail Market
8.7.1 Rest of LAMEA Big Data Analytics in Retail Market by Component
8.7.2 Rest of LAMEA Big Data Analytics in Retail Market by Deployment Type
8.7.3 Rest of LAMEA Big Data Analytics in Retail Market by Organization Size
8.7.4 Rest of LAMEA Big Data Analytics in Retail Market by Application
Chapter 9. Company Profiles
9.1 IBM Corporation
9.1.1 Company Overview
9.1.2 Financial Analysis
9.1.3 Regional & Segmental Analysis
9.1.4 Research & Development Expenses
9.1.5 Recent Strategies and Developments
9.1.5.1 Partnerships, Collaborations, and Agreements
9.1.5.2 Product Launches and Product Enhancements
9.1.6 SWOT Analysis
9.2 Microsoft Corporation
9.2.1 Company Overview
9.2.2 Financial Analysis
9.2.3 Segmental and Regional Analysis
9.2.4 Research & Development Expenses
9.2.1 Recent Strategies and Developments
9.2.1.1 Partnerships, Collaborations, and Agreements
9.2.2 SWOT Analysis
9.3 Oracle Corporation
9.3.1 Company Overview
9.3.2 Financial Analysis
9.3.3 Segmental and Regional Analysis
9.3.4 Research & Development Expenses
9.3.5 Recent Strategies and Developments
9.3.5.1 Product Launches and Product Enhancements
9.3.6 SWOT Analysis
9.4 SAP SE
9.4.1 Company Overview
9.4.2 Financial Analysis
9.4.3 Segmental and Regional Analysis
9.4.4 Research & Development Expenses
9.4.5 Recent Strategies and Developments
9.4.5.1 Partnerships, Collaborations, and Agreements
9.4.5.2 Product Launches and Product Enhancements
9.4.5.3 Geographical Expansions
9.4.6 SWOT Analysis
9.5 Salesforce.com, Inc.
9.5.1 Company Overview
9.5.2 Financial Analysis
9.5.3 Regional Analysis
9.5.4 Research & Development Expenses
9.5.5 Recent Strategies and Developments
9.5.5.1 Acquisition and Mergers
9.5.5.2 Product Launches and Product Enhancements
9.5.6 SWOT Analysis
9.6 Adobe, Inc.
9.6.1 Company Overview
9.6.2 Financial Analysis
9.6.3 Segmental and Regional Analysis
9.6.4 Research & Development Expenses
9.6.5 Recent Strategies and Developments
9.6.5.1 Partnerships, Collaborations, and Agreements
9.6.5.2 Product Launches and Product Enhancements
9.6.6 SWOT Analysis
9.7 Teradata Corporation
9.7.1 Company Overview
9.7.2 Financial Analysis
9.7.3 Regional Analysis
9.7.4 Research & Development Expenses
9.7.5 Recent Strategies and Developments
9.7.5.1 Partnerships, Collaborations, and Agreements
9.7.5.2 Product Launches and Product Enhancements
9.7.6 SWOT Analysis
9.8 MicroStrategy, Inc.
9.8.1 Company Overview
9.8.2 Financial Analysis
9.8.3 Regional Analysis
9.8.4 Research & Development Expenses
9.8.5 Recent Strategies and Developments
9.8.5.1 Partnerships, Collaborations, and Agreements
9.8.5.2 Product Launches and Product Enhancements
9.8.6 SWOT Analysis
9.9 Alteryx, Inc.
9.9.1 Company Overview
9.9.2 Financial Analysis
9.9.3 Regional Analysis
9.9.4 Research & Development Expenses
9.9.5 Recent Strategies and Developments
9.9.5.1 Partnerships, Collaborations, and Agreements
9.9.5.2 Product Launches and Product Enhancements
9.9.5.3 Acquisition and Mergers
9.10. Zoho Corporation Pvt. Ltd.
9.10.1 Company Overview
9.10.2 Recent Strategies and Developments
9.10.2.1 Product Launches and Product Enhancements

Companies Mentioned

  • IBM Corporation
  • Microsoft Corporation
  • Oracle Corporation
  • SAP SE
  • Salesforce.com, Inc.
  • Adobe, Inc.
  • Teradata Corporation
  • MicroStrategy, Inc.
  • Alteryx, Inc.
  • Zoho Corporation Pvt. Ltd.

Methodology

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