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Europe 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: Europe
  • Marqual IT Solutions Pvt. Ltd (KBV Research)
  • ID: 5673628
The Europe Self-supervised Learning Market would witness market growth of 32.8% CAGR during the forecast period (2022-2028).

Machineries can foresee through natural evolution & the results of their actions by using self-supervised learning, much like how newborns can learn an incredible amount of information in their first few weeks or months of life by noticing and being curious. Self-supervised learning has the capacity to scale learning to the levels required by novel use cases, such as but not limited to use cases in image recognition, autonomous driving, robotics, and medicine.

Target labeling is done by hand in supervised learning, and a programmer is required to oversee the training procedure. In unsupervised learning, the algorithm must sift through a vast amount of data and look for patterns using techniques like clustering and matrix decomposition. Increased automation is possible with the unsupervised approach, but prediction accuracy may suffer.

The G-Cloud initiative of the British government aims to make it simpler for public sector organizations in the UK to acquire standard information technology services that utilize cloud computing. Public sector organizations can purchase services through the G-Cloud without having to go through a full procurement process that involves tenders or competition due to a set of framework agreements with suppliers. Online marketplace 'Digital Marketplace'enables public sector organizations to look for services that adhere to G-Cloud principles.

The Germany market dominated the Europe Self-supervised Learning Market by Country in 2021, and would continue to be a dominant market till 2028; thereby, achieving a market value of $3,445.5 million by 2028. The UK market is anticipated to grow at a CAGR of 31.7% during (2022-2028). Additionally, The France market would exhibit a CAGR of 33.8% 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 Germany, UK, France, Russia, Spain, Italy, and Rest of Europe.

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

  • Germany
  • UK
  • France
  • Russia
  • Spain
  • Italy
  • Rest of Europe

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 Europe Self-supervised Learning Market, by End-use
1.4.2 Europe Self-supervised Learning Market, by Technology
1.4.3 Europe 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. Europe Self-supervised Learning Market by End-use
4.1 Europe BFSI Market by Country
4.2 Europe Advertising & Media Market by Country
4.3 Europe Software Development (IT) Market by Country
4.4 Europe Automotive & Transportation Market by Country
4.5 Europe Healthcare Market by Country
4.6 Europe Others Market by Country
Chapter 5. Europe Self-supervised Learning Market by Technology
5.1 Europe Natural Language Processing (NLP) Market by Country
5.2 Europe Computer Vision Market by Country
5.3 Europe Speech Processing Market by Country
Chapter 6. Europe Self-supervised Learning Market by Country
6.1 Germany Self-supervised Learning Market
6.1.1 Germany Self-supervised Learning Market by End-use
6.1.2 Germany Self-supervised Learning Market by Technology
6.2 UK Self-supervised Learning Market
6.2.1 UK Self-supervised Learning Market by End-use
6.2.2 UK Self-supervised Learning Market by Technology
6.3 France Self-supervised Learning Market
6.3.1 France Self-supervised Learning Market by End-use
6.3.2 France Self-supervised Learning Market by Technology
6.4 Russia Self-supervised Learning Market
6.4.1 Russia Self-supervised Learning Market by End-use
6.4.2 Russia Self-supervised Learning Market by Technology
6.5 Spain Self-supervised Learning Market
6.5.1 Spain Self-supervised Learning Market by End-use
6.5.2 Spain Self-supervised Learning Market by Technology
6.6 Italy Self-supervised Learning Market
6.6.1 Italy Self-supervised Learning Market by End-use
6.6.2 Italy Self-supervised Learning Market by Technology
6.7 Rest of Europe Self-supervised Learning Market
6.7.1 Rest of Europe Self-supervised Learning Market by End-use
6.7.2 Rest of Europe 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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