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LAMEA Federated Learning Market Size, Share & Industry Trends Analysis Report By Application, By Vertical, By Country and Growth Forecast, 2022 - 2028

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    Report

  • 100 Pages
  • May 2022
  • Region: Africa, Middle East
  • Marqual IT Solutions Pvt. Ltd (KBV Research)
  • ID: 5615809
The Latin America, Middle East and Africa Federated Learning Market is expected to witness market growth of 14.5% CAGR during the forecast period (2022-2028).

In the marketing and finance industries, where raw data cannot be gathered ruthlessly for training models due to intellectual property, data privacy, and data security issues, federated learning has future potential as a modeling method that can protect data security. As a result, it is predicted that a federated model can be trained without exchanging data, which could be accomplished through federated learning. These factors is expected to accelerate the growth of the federated learning market in the coming years.

All industries, including healthcare, have the potential to be transformed by machine learning. It can do so by leveraging its ability to develop medical insights to expedite medical research from cancer biomarker detection to patient screening as well as genetic prediction through imaging. These applications not only assist researchers to make better discoveries, but they also help the healthcare business deal with time and financial constraints. The current conventional strategy of combining data from many sources must be balanced against serious concerns about patient privacy and data security. Privacy rules apply to software that manages personal data. Personal data must be protected at all times in healthcare systems, and existing standard techniques, such as anonymization, may even necessitate the removal of data that could be vital for medical breakthroughs.

The UAE is a competitive market for the Information Communication Technology industry since it is a major hub for international trade and business within Mena countries. The Abu Dhabi Economic Vision 2030 and the UAE Vision 2021 government programs set out to construct a competitive skilled workforce and establish an open, effective, efficient, and internationally integrated business environment in order to reduce reliance on oil revenue and expand the private sector. The UAE government is implementing a number of efforts to help the knowledge economy grow. Smart services, machine-to-machine, and industrial internet connections are examples of Internet of Things prospects. Smart cities and telehealth have been used in the public sector, and enterprise applications encompass asset tracking, smart metering, and production optimization. The UAE, particularly Dubai, has emerged as a prominent global site for the implementation of IoT solutions to improve public infrastructure, with the goal of becoming a prominent smart country.

The Brazil market dominated the LAMEA Federated Learning Market by Country in 2021, and is expected to continue to be a dominant market till 2028; thereby, achieving a market value of $3,220 Thousands by 2028. The Argentina market is anticipated a CAGR of 15.2% during (2022 - 2028). Additionally, The UAE market is expected to display a CAGR of 14.2% during (2022 - 2028).

Based on Application, the market is segmented into Drug Discovery, Risk Management, Online Visual Object Detection, Data Privacy & Security Management, Industrial Internet of Things, Augmented Reality/Virtual Reality, Shopping Experience Personalization, and Others. Based on Vertical, the market is segmented into Healthcare & Life Sciences, BFSI, IT & Telecommunication, Energy & Utilities, Manufacturing, Automotive & Transportation, Retail & Ecommerce, 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, Microsoft Corporation, Intel Corporation, Google LLC, Cloudera, Inc., NVIDIA Corporation, Edge Delta, Inc., DataFleets Ltd. (LiveRamp Holdings, Inc.), Enveil, and Secure AI Labs, Inc.

Scope of the Study


Market Segments Covered in the Report:


By Application

  • Drug Discovery
  • Risk Management
  • Online Visual Object Detection
  • Data Privacy & Security Management
  • Industrial Internet of Things
  • Augmented Reality/Virtual Reality
  • Shopping Experience Personalization
  • Others

By Vertical

  • Healthcare & Life Sciences
  • BFSI
  • IT & Telecommunication
  • Energy & Utilities
  • Manufacturing
  • Automotive & Transportation
  • Retail & Ecommerce
  • 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
  • Microsoft Corporation
  • Intel Corporation
  • Google LLC
  • Cloudera, Inc.
  • NVIDIA Corporation
  • Edge Delta, Inc.
  • DataFleets Ltd. (LiveRamp Holdings, Inc.)
  • Enveil
  • Secure AI Labs, Inc.

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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 Federated Learning Market, by Application
1.4.2 LAMEA Federated Learning Market, by Vertical
1.4.3 LAMEA Federated Learning 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 KBV 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 Acquisition and Mergers
3.3 Top Winning Strategies
3.3.1 Key Leading Strategies: Percentage Distribution (2018-2022)
3.3.2 Key Strategic Move: (Product Launches and Product Expansions : 2018, Dec - 2021, Dec) Leading Players
Chapter 4. LAMEA Federated Learning Market by Application
4.1 LAMEA Drug Discovery Market by Country
4.2 LAMEA Risk Management Market by Country
4.3 LAMEA Online Visual Object Detection Market by Country
4.4 LAMEA Data Privacy & Security Management Market by Country
4.5 LAMEA Industrial Internet of Things Market by Country
4.6 LAMEA Augmented Reality/Virtual Reality Market by Country
4.7 LAMEA Shopping Experience Personalization Market by Country
4.8 LAMEA Other Application Market by Country
Chapter 5. LAMEA Federated Learning Market by Vertical
5.1 LAMEA Healthcare & Life Sciences Market by Country
5.2 LAMEA BFSI Market by Country
5.3 LAMEA IT & Telecommunication Market by Country
5.4 LAMEA Energy & Utilities Market by Country
5.5 LAMEA Manufacturing Market by Country
5.6 LAMEA Automotive & Transportation Market by Country
5.7 LAMEA Retail & Ecommerce Market by Country
5.8 LAMEA Others Market by Country
Chapter 6. LAMEA Federated Learning Market by Country
6.1 Brazil Federated Learning Market
6.1.1 Brazil Federated Learning Market by Application
6.1.2 Brazil Federated Learning Market by Vertical
6.2 Argentina Federated Learning Market
6.2.1 Argentina Federated Learning Market by Application
6.2.2 Argentina Federated Learning Market by Vertical
6.3 UAE Federated Learning Market
6.3.1 UAE Federated Learning Market by Application
6.3.2 UAE Federated Learning Market by Vertical
6.4 Saudi Arabia Federated Learning Market
6.4.1 Saudi Arabia Federated Learning Market by Application
6.4.2 Saudi Arabia Federated Learning Market by Vertical
6.5 South Africa Federated Learning Market
6.5.1 South Africa Federated Learning Market by Application
6.5.2 South Africa Federated Learning Market by Vertical
6.6 Nigeria Federated Learning Market
6.6.1 Nigeria Federated Learning Market by Application
6.6.2 Nigeria Federated Learning Market by Vertical
6.7 Rest of LAMEA Federated Learning Market
6.7.1 Rest of LAMEA Federated Learning Market by Application
6.7.2 Rest of LAMEA Federated Learning Market by Vertical
Chapter 7. Company Profiles
7.1 IBM Corporation
7.1.1 Company Overview
7.1.2 Financial Analysis
7.1.3 Regional & Segmental Analysis
7.1.4 Research & Development Expenses
7.1.5 Recent Strategies and Developments
7.1.5.1 Product Launches and Product Expansions:
7.2 Microsoft Corporation
7.2.1 Company Overview
7.2.2 Financial Analysis
7.2.3 Segmental and Regional Analysis
7.2.4 Research & Development Expenses
7.2.5 Recent Strategies and Developments
7.2.5.1 Product Launches and Product Expansions:
7.2.5.2 Acquisitions and Mergers:
7.3 Intel Corporation
7.3.1 Company Overview
7.3.2 Financial Analysis
7.3.3 Segmental and Regional Analysis
7.3.4 Research & Development Expenses
7.3.5 Recent strategies and developments:
7.3.5.1 Partnerships, Collaborations and Agreement:
7.4 Google LLC
7.4.1 Company Overview
7.4.2 Financial Analysis
7.4.3 Segmental and Regional Analysis
7.4.4 Research & Development Expense
7.4.5 Recent Strategies and Developments
7.4.5.1 Product Launches and Product Expansions:
7.5.5 Recent strategies and developments:
7.5.5.1 Partnerships, Collaborations and Agreements:
7.6 NVIDIA Corporation
7.6.1 Company Overview
7.6.2 Financial Analysis
7.6.3 Segmental and Regional Analysis
7.6.4 Research & Development Expense
7.6.5 Recent strategies and developments:
7.6.5.1 Partnerships, Collaborations and Agreements:
7.6.6 SWOT Analysis
7.7 Edge Delta, Inc.
7.7.1 Company Overview
7.7.2 Recent strategies and developments:
7.7.2.1 Product Launches and Product Expansions:
7.8 DataFleets Ltd. (LiveRamp Holdings, Inc.)
7.8.1 Company Overview
7.9 Enveil
7.9.1 Company Overview
7.9.2 Recent strategies and developments:
7.9.2.1 Product Launches and Product Expansions:
7.10. Secure AI Labs, Inc.
7.10.1 Company Overview

Companies Mentioned

  • IBM Corporation
  • Microsoft Corporation
  • Intel Corporation
  • Google LLC
  • Cloudera, Inc.
  • NVIDIA Corporation
  • Edge Delta, Inc.
  • DataFleets Ltd. (LiveRamp Holdings, Inc.)
  • Enveil
  • Secure AI Labs, Inc.

Methodology

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