+353-1-416-8900REST OF WORLD
+44-20-3973-8888REST OF WORLD
1-917-300-0470EAST COAST U.S
1-800-526-8630U.S. (TOLL FREE)

LAMEA Recommendation Engine Market By Type, By Application, By Deployment Type, By Organization Size, By End Use, By Country, Opportunity Analysis and Industry Forecast, 2021-2027

  • PDF Icon

    Report

  • 142 Pages
  • January 2022
  • Region: Africa, Middle East
  • Marqual IT Solutions Pvt. Ltd (KBV Research)
  • ID: 5553087
The Latin America, Middle East and Africa Recommendation Engine Market is expected to witness market growth of 37.5% CAGR during the forecast period (2021-2027).

Since consumers are increasingly spending their time on surfing internet for various activities, companies are capitalizing on this trend. For example, the movie and show suggestions appeared on the Netflix are made through recommendation engine.

Amazon, on the other hand, uses a recommendation engine to provide product recommendations to its users. While each utilizes this technology for slightly different reasons, the end aim is the same: to increase sales, increase engagement and retention, and provide more personalized customer experiences.

In the Middle East region, government initiatives are attracting numerous companies to enter the region and expand their market. Supportive government policies and standards are making it easier for companies to implement numerous advanced technologies for business benefits. The Emirati government refers IT as ICT, and it is one of the key areas, in which the UAE government is highly focusing on the improvements. The government is making huge strides in the public sector to achieve its goals of being at the forefront.

The Brazil market dominated the LAMEA Recommendation Engine Market by Country 2020, and is expected to continue to be a dominant market till 2027; thereby, achieving a market value of $227.4 million by 2027. The Argentina market is expected to witness a CAGR of 38.2% during (2021 - 2027). Additionally, The UAE market is expected to witness a CAGR of 37.1% during (2021 - 2027).

Based on Type, the market is segmented into Collaborative Filtering, Content-based Filtering and Hybrid Recommendation. Based on Application, the market is segmented into Personalized Campaigns & Customer Delivery, Product Planning & Proactive Asset Management and Strategy Operations & Planning. Based on Deployment Type, the market is segmented into Cloud and On-premise. Based on Organization Size, the market is segmented into Large Enterprises and Small & Medium Enterprises. Based on End Use, the market is segmented into Retail, BFSI, Healthcare, Media & Entertainment, Information Technology 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 stake holders of the market. Key companies profiled in the report include IBM Corporation, Oracle Corporation, Microsoft Corporation, SAP SE, Salesforce.com, Inc., Adobe, Inc., Google LLC, Intel Corporation, Hewlett-Packard Enterprise Company, and Amazon.com, Inc.

Scope of the Study


Market Segments Covered in the Report:


By Type

  • Collaborative Filtering
  • Content-based Filtering and
  • Hybrid Recommendation

By Application

  • Personalized Campaigns & Customer Delivery
  • Product Planning & Proactive Asset Management and
  • Strategy Operations & Planning

By Deployment Type

  • Cloud and
  • On-premise

By Organization Size

  • Large Enterprises and
  • Small & Medium Enterprises

By End Use

  • Retail
  • BFSI
  • Healthcare
  • Media & Entertainment
  • Information Technology and
  • Others

By Country

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

Key Market Players


List of Companies Profiled in the Report:

  • IBM Corporation
  • Oracle Corporation
  • Microsoft Corporation
  • SAP SE
  • Salesforce.com, Inc.
  • Adobe, Inc.
  • Google LLC
  • Intel Corporation
  • Hewlett-Packard Enterprise Company
  • Amazon.com, Inc.

Unique Offerings from the Publisher

  • Exhaustive coverage
  • The 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 LAMEA Recommendation Engine Market, by Type
1.4.2 LAMEA Recommendation Engine Market, by Application
1.4.3 LAMEA Recommendation Engine Market, by Deployment Type
1.4.4 LAMEA Recommendation Engine Market, by Organization Size
1.4.5 LAMEA Recommendation Engine Market, by End Use
1.4.6 LAMEA Recommendation Engine Market, by Country
1.5 Methodology for the research
Chapter 2. Market Overview
2.1 Introduction
2.1.1 Overview
2.1.1.1 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 Expansions
3.2.3 Acquisitions and Mergers
3.3 Top Winning Strategies
3.3.1 Key Leading Strategies: Percentage Distribution (2017-2021)
3.3.2 Key Strategic Move: (Product Launches and Product Expansions 2018, Jul - 2021, Apr) Leading Players
Chapter 4. LAMEA Recommendation Engine Market by Type
4.1 LAMEA Collaborative Filtering Market by Country
4.2 LAMEA Content-based Filtering Market by Country
4.3 LAMEA Hybrid Recommendation Market by Country
Chapter 5. LAMEA Recommendation Engine Market by Application
5.1 LAMEA Personalized Campaigns & Customer Delivery Market by Country
5.2 LAMEA Product Planning & Proactive Asset Management Market by Country
5.3 LAMEA Strategy Operations & Planning Market by Country
Chapter 6. LAMEA Recommendation Engine Market by Deployment Type
6.1 LAMEA Cloud Market by Country
6.2 LAMEA On-premise Market by Country
Chapter 7. LAMEA Recommendation Engine Market by Organization Size
7.1 LAMEA Large Enterprises Market by Country
7.2 LAMEA Small & Medium Enterprises Market by Country
Chapter 8. LAMEA Recommendation Engine Market by End Use
8.1 LAMEA Retail Market by Country
8.2 LAMEA BFSI Market by Country
8.3 LAMEA Healthcare Market by Country
8.4 LAMEA Media & Entertainment Market by Country
8.5 LAMEA Information Technology Market by Country
8.6 LAMEA Others Market by Country
Chapter 9. LAMEA Recommendation Engine Market by Country
9.1 Brazil Recommendation Engine Market
9.1.1 Brazil Recommendation Engine Market by Type
9.1.2 Brazil Recommendation Engine Market by Application
9.1.3 Brazil Recommendation Engine Market by Deployment Type
9.1.4 Brazil Recommendation Engine Market by Organization Size
9.1.5 Brazil Recommendation Engine Market by End Use
9.2 Argentina Recommendation Engine Market
9.2.1 Argentina Recommendation Engine Market by Type
9.2.2 Argentina Recommendation Engine Market by Application
9.2.3 Argentina Recommendation Engine Market by Deployment Type
9.2.4 Argentina Recommendation Engine Market by Organization Size
9.2.5 Argentina Recommendation Engine Market by End Use
9.3 UAE Recommendation Engine Market
9.3.1 UAE Recommendation Engine Market by Type
9.3.2 UAE Recommendation Engine Market by Application
9.3.3 UAE Recommendation Engine Market by Deployment Type
9.3.4 UAE Recommendation Engine Market by Organization Size
9.3.5 UAE Recommendation Engine Market by End Use
9.4 Saudi Arabia Recommendation Engine Market
9.4.1 Saudi Arabia Recommendation Engine Market by Type
9.4.2 Saudi Arabia Recommendation Engine Market by Application
9.4.3 Saudi Arabia Recommendation Engine Market by Deployment Type
9.4.4 Saudi Arabia Recommendation Engine Market by Organization Size
9.4.5 Saudi Arabia Recommendation Engine Market by End Use
9.5 South Africa Recommendation Engine Market
9.5.1 South Africa Recommendation Engine Market by Type
9.5.2 South Africa Recommendation Engine Market by Application
9.5.3 South Africa Recommendation Engine Market by Deployment Type
9.5.4 South Africa Recommendation Engine Market by Organization Size
9.5.5 South Africa Recommendation Engine Market by End Use
9.6 Nigeria Recommendation Engine Market
9.6.1 Nigeria Recommendation Engine Market by Type
9.6.2 Nigeria Recommendation Engine Market by Application
9.6.3 Nigeria Recommendation Engine Market by Deployment Type
9.6.4 Nigeria Recommendation Engine Market by Organization Size
9.6.5 Nigeria Recommendation Engine Market by End Use
9.7 Rest of LAMEA Recommendation Engine Market
9.7.1 Rest of LAMEA Recommendation Engine Market by Type
9.7.2 Rest of LAMEA Recommendation Engine Market by Application
9.7.3 Rest of LAMEA Recommendation Engine Market by Deployment Type
9.7.4 Rest of LAMEA Recommendation Engine Market by Organization Size
9.7.5 Rest of LAMEA Recommendation Engine Market by End Use
Chapter 10. Company Profiles
10.1 IBM Corporation
10.1.1 Company Overview
10.1.2 Financial Analysis
10.1.3 Regional & Segmental Analysis
10.1.4 Research & Development Expenses
10.1.5 Recent strategies and developments
10.1.5.1 Acquisitions and Mergers:
10.1.6 SWOT Analysis
10.2 Oracle Corporation
10.2.1 Company Overview
10.2.2 Financial Analysis
10.2.3 Segmental and Regional Analysis
10.2.4 Research & Development Expense
10.2.5 SWOT Analysis
10.3 Microsoft Corporation
10.3.1 Company Overview
10.3.2 Financial Analysis
10.3.3 Segmental and Regional Analysis
10.3.4 Research & Development Expenses
10.3.5 Recent strategies and developments
10.3.5.1 Product Launches and Product Expansions
10.3.6 SWOT Analysis
10.4 SAP SE
10.4.1 Company Overview
10.4.2 Financial Analysis
10.4.3 Segmental and Regional Analysis
10.4.4 Research & Development Expense
10.4.5 Recent strategies and developments
10.4.5.1 Acquisitions and Mergers:
10.4.6 SWOT Analysis
10.5 Salesforce.com, Inc.
10.5.1 Company Overview
10.5.2 Financial Analysis
10.5.3 Regional Analysis
10.5.4 Research & Development Expense
10.5.5 Recent strategies and developments
10.5.5.1 Product Launches and Product Expansions
10.5.6 SWOT Analysis
10.6 Adobe, Inc.
10.6.1 Company Overview
10.6.2 Financial Analysis
10.6.3 Segmental and Regional Analysis
10.6.4 Research & Development Expense
10.6.5 Recent strategies and developments
10.6.5.1 Partnerships, Collaborations, and Agreements
10.6.5.2 Product Launches and Product Expansions
10.6.5.3 Acquisitions and Mergers:
10.6.6 SWOT Analysis
10.7 Google LLC
10.7.1 Company Overview
10.7.2 Financial Analysis
10.7.3 Segmental and Regional Analysis
10.7.4 Research & Development Expense
10.7.5 Recent strategies and developments
10.7.5.1 Partnerships, Collaborations, and Agreements
10.7.5.2 Product Launches and Product Expansions
10.7.6 SWOT Analysis
10.8 Intel Corporation
10.8.1 Company Overview
10.8.2 Financial Analysis
10.8.3 Segmental and Regional Analysis
10.8.4 Research & Development Expenses
10.8.5 Recent strategies and developments
10.8.5.1 Partnerships, Collaborations, and Agreements
10.8.5.2 Product Launches and Product Expansions
10.8.5.3 Acquisitions and Mergers:
10.8.6 SWOT Analysis
10.9 Hewlett Packard Enterprise Company
10.9.1 Company Overview
10.9.2 Financial Analysis
10.9.3 Segmental and Regional Analysis
10.9.4 Research & Development Expense
10.9.5 Recent strategies and developments
10.9.5.1 Product Launches and Product Expansions
10.9.6 SWOT Analysis
10.10. Amazon.com, Inc.
10.10.1 Company Overview
10.10.2 Financial Analysis
10.10.3 Segmental and Regional Analysis
10.10.4 Recent strategies and developments
10.10.4.1 Product Launches and Product Expansions
10.10.5 SWOT Analysis

Companies Mentioned

  • IBM Corporation
  • Oracle Corporation
  • Microsoft Corporation
  • SAP SE
  • Salesforce.com, Inc.
  • Adobe, Inc.
  • Google LLC
  • Intel Corporation
  • Hewlett-Packard Enterprise Company
  • Amazon.com, Inc.

Methodology

Loading
LOADING...