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LAMEA Self-supervised Learning Market Size, Share & Industry Trends Analysis Report by End-use, Technology, Country and Growth Forecast, 2022-2028

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    Report

  • 102 Pages
  • September 2022
  • Region: Africa, Middle East
  • Marqual IT Solutions Pvt. Ltd (KBV Research)
  • ID: 5673809
The Latin America, Middle East and Africa Self-supervised Learning Market would witness market growth of 37.6% CAGR during the forecast period (2022-2028).

Self-supervised learning is currently used for text interpretation and writing, as well as face recognition and cancer diagnosis. More products will utilize this technology in the future, including industrial and medical robots, virtual assistants, and various software systems. Self-supervised learning has the potential to bring about a real revolution in the market for self-driving cars because, after countless hours on the track, they will be able to learn and find their way even in challenging circumstances.

In order to adjust the model weights, supervised learning involves training a model with data that have high-quality manual labels associated with them. In self-supervised learning, a model is also trained using data & labels, but in this case, the labels are generated by the model and are not available at the outset. However, unsupervised learning is a learning paradigm that attempts to make sense of the information provided without the use of labels at any point during its training on datasets with no labels.

Governments in countries like Brazil & Israel have increased their investments in cutting-edge technologies like big data, artificial intelligence (AI), cloud computing, 5G, machine learning (ML), and others, which is thought to be the reason for the increase. Saudi Arabia is lagging other wealthy nations in the use of big data technology in education. The educational system in Saudi Arabia is constantly changing, and the government is also putting policies and initiatives in place to support teachers in providing high-quality instruction.

The Brazil market dominated the LAMEA Self-supervised Learning Market by Country in 2021, and would continue to be a dominant market till 2028; thereby, achieving a market value of $959.9 million by 2028. The Argentina market is experiencing a CAGR of 38.4% during (2022-2028). Additionally, The UAE market would display a CAGR of 37.3% during (2022-2028).

Based on End-use, the market is segmented into BFSI, Advertising & Media, Software Development (IT), Automotive & Transportation, Healthcare, and Others. Based on Technology, the market is segmented into Natural Language Processing (NLP), Computer Vision, and Speech Processing. 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 Baidu, Inc., Apple, Inc., Tesla, Inc., IBM Corporation, Microsoft Corporation, Amazon Web Services, Inc. (Amazon.com, Inc.), Meta Platforms, Inc., SAS Institute, Inc., The MathWorks, Inc., and DataRobot, Inc.

Scope of the Study

Market Segments Covered in the Report:

By End-use

  • BFSI
  • Advertising & Media
  • Software Development (IT)
  • Automotive & Transportation
  • Healthcare
  • Others

By Technology

  • Natural Language Processing (NLP)
  • Computer Vision
  • Speech Processing

By Country

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

Key Market Players

List of Companies Profiled in the Report:

  • Baidu, Inc.
  • Apple, Inc.
  • Tesla, Inc.
  • IBM Corporation
  • Microsoft Corporation
  • Amazon Web Services, Inc. (Amazon.com, Inc.)
  • Meta Platforms, Inc.
  • SAS Institute, Inc.
  • The MathWorks, Inc.
  • DataRobot, 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 Self-supervised Learning Market, by End-use
1.4.2 LAMEA Self-supervised Learning Market, by Technology
1.4.3 LAMEA Self-supervised 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 & 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 Acquisition and Mergers
3.2.4 Geographical Expansion
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 Expansion: 2018, Sep - 2022, Aug) Leading Players
3.3.3 Key Strategic Move: (Mergers & Acquisition: 2019, Jun - 2022, Jul) Leading Players
Chapter 4. LAMEA Self-supervised Learning Market by End-use
4.1 LAMEA BFSI Market by Country
4.2 LAMEA Advertising & Media Market by Country
4.3 LAMEA Software Development (IT) Market by Country
4.4 LAMEA Automotive & Transportation Market by Country
4.5 LAMEA Healthcare Market by Country
4.6 LAMEA Others Market by Country
Chapter 5. LAMEA Self-supervised Learning Market by Technology
5.1 LAMEA Natural Language Processing (NLP) Market by Country
5.2 LAMEA Computer Vision Market by Country
5.3 LAMEA Speech Processing Market by Country
Chapter 6. LAMEA Self-supervised Learning Market by Country
6.1 Brazil Self-supervised Learning Market
6.1.1 Brazil Self-supervised Learning Market by End-use
6.1.2 Brazil Self-supervised Learning Market by Technology
6.2 Argentina Self-supervised Learning Market
6.2.1 Argentina Self-supervised Learning Market by End-use
6.2.2 Argentina Self-supervised Learning Market by Technology
6.3 UAE Self-supervised Learning Market
6.3.1 UAE Self-supervised Learning Market by End-use
6.3.2 UAE Self-supervised Learning Market by Technology
6.4 Saudi Arabia Self-supervised Learning Market
6.4.1 Saudi Arabia Self-supervised Learning Market by End-use
6.4.2 Saudi Arabia Self-supervised Learning Market by Technology
6.5 South Africa Self-supervised Learning Market
6.5.1 South Africa Self-supervised Learning Market by End-use
6.5.2 South Africa Self-supervised Learning Market by Technology
6.6 Nigeria Self-supervised Learning Market
6.6.1 Nigeria Self-supervised Learning Market by End-use
6.6.2 Nigeria Self-supervised Learning Market by Technology
6.7 Rest of LAMEA Self-supervised Learning Market
6.7.1 Rest of LAMEA Self-supervised Learning Market by End-use
6.7.2 Rest of LAMEA Self-supervised Learning Market by Technology
Chapter 7. Company Profiles
7.1 Baidu, Inc.
7.1.1 Company Overview
7.1.2 Financial Analysis
7.1.3 Segmental Analysis
7.1.4 Research & Development Expenses
7.1.5 Recent strategies and developments:
7.1.5.1 Product Launches and Product Expansions:
7.1.5.2 Partnerships, Collaborations, and Agreements:
7.1.6 SWOT Analysis
7.2 Apple, Inc.
7.2.1 Company Overview
7.2.2 Financial Analysis
7.2.3 Regional Analysis
7.2.4 Research & Development Expense
7.2.5 Recent strategies and developments:
7.2.5.1 Acquisition and Mergers:
7.2.6 SWOT Analysis
7.3 Tesla, Inc.
7.3.1 Company Overview
7.3.2 Financial Analysis
7.3.3 Segmental and Regional Analysis
7.3.4 Research & Development Expense
7.3.5 Recent strategies and developments:
7.3.5.1 Acquisition and Mergers:
7.3.5.2 Product Launches and Product Expansions:
7.3.6 SWOT Analysis
7.4 IBM Corporation
7.4.1 Company Overview
7.4.2 Financial Analysis
7.4.3 Regional & Segmental Analysis
7.4.4 Research & Development Expenses
7.4.5 Recent strategies and developments:
7.4.5.1 Partnerships, Collaborations & Agreements:
7.4.5.2 Mergers & Acquisition:
7.4.5.3 Product Launches and Product Expansions:
7.4.6 SWOT Analysis
7.5 Microsoft Corporation
7.5.1 Company Overview
7.5.2 Financial Analysis
7.5.3 Segmental and Regional Analysis
7.5.4 Research & Development Expenses
7.5.5 Recent strategies and developments:
7.5.5.1 Partnerships, Collaborations & Agreements:
7.5.5.2 Mergers & Acquisition:
7.5.5.3 Product Launches and Product Expansions:
7.5.5.4 Geographical Expansion:
7.5.6 SWOT Analysis
7.6 Amazon Web Services, Inc. (Amazon.com, Inc.)
7.6.1 Company Overview
7.6.2 Financial Analysis
7.6.3 Segmental Analysis
7.6.4 Recent strategies and developments:
7.6.4.1 Product Launches and Product Expansions:
7.6.4.2 Geographical Expansion:
7.6.5 SWOT Analysis
7.7 Meta Platforms, Inc.
7.7.1 Company Overview
7.7.2 Financial Analysis
7.7.3 Segmental and Regional Analysis
7.7.4 Research & Development Expenses
7.7.5 Recent strategies and developments:
7.7.5.1 Product Launches and Product Expansions:
7.8 SAS Institute, Inc.
7.8.1 Company Overview
7.9 The MathWorks, Inc.
7.9.1 Company Overview
7.9.2 Recent strategies and developments:
7.9.2.1 Product Launches and Product Expansions:
7.10. DataRobot, Inc.
7.10.1 Company Overview
7.10.2 Recent strategies and developments:
7.10.2.1 Product Launches and Product Expansions:
7.10.2.2 Acquisition and Mergers:

Companies Mentioned

  • Baidu, Inc.
  • Apple, Inc.
  • Tesla, Inc.
  • IBM Corporation
  • Microsoft Corporation
  • Amazon Web Services, Inc. (Amazon.com, Inc.)
  • Meta Platforms, Inc.
  • SAS Institute, Inc.
  • The MathWorks, Inc.
  • DataRobot, Inc.

Methodology

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