LAMEA Big Data Analytics in Retail Market

LAMEA Big Data Analytics in Retail Market By Component (Software and Services), By Deployment Type (On-premise and Cloud), By Organization Size (Large Enterprises and Small & Medium Enterprises), By Application (Supply Chain Operations Management, Sales & Marketing Analytics, Customer Analytics, Merchandising Analytics, and Others), By Country, Industry Analysis and Forecast, 2020 - 2026

Report Id: KBV-4743 Publication Date: October-2020 Number of Pages: 139
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Analysis of Market Size & Trends

The Latin America, Middle East and Africa Big Data Analytics in Retail Market would 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.

Free Valuable Insights: Big Data Analytics in Retail Market in LAMEA is expected to register a CAGR of 27.3% during the forecast period (2020-2026)

The market research report covers theanalysis of key stake holders 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.

Scope of the LAMEA Big Data Analytics in Retail Market Analysis

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.
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