North America Self-supervised Learning Market Size, Share & Industry Trends Analysis Report By End-use (BFSI, Advertising & Media, Software Development (IT), Automotive & Transportation, Healthcare), By Technology, By Country and Growth Forecast, 2022 – 2028
The North America Self-supervised Learning Market would witness market growth of 32.7% CAGR during the forecast period (2022-2028).
There are some tasks for which there are simply insufficient labeled data, such as developing translation systems for languages with limited resources. AI systems will be more useful and eventually get closer to human-level intelligence if they can learn a deeper, more nuanced understanding of reality than what is specified in the training data set.
Self-supervised learning involves automatically labeling of the training data. Although it is still supervised learning, the datasets need not be manually labeled by a human; instead, they can be labeled, for example, by discovering and utilizing the relationships between various input signals. Self-supervised learning has the advantage and natural outcome of being easier to implement online, where models can be updated or trained entirely from scratch. As a result, self-supervised learning ought to be suitable for a variety of situations & changing environments, including data and general situations.
Successful private, public, and hybrid cloud deployments can be found all over the region, and cloud computing has proven to be a practical IT architecture for many federal government agencies. Governmental organizations are revising their economic theories in order to offer better citizen services. The U.S. government put in place the Cloud First policy to speed up cloud adoption. This agreement promotes innovation, the use of cutting-edge technologies, and the administration of services. The agency's core competencies and mission will take precedence over the actual technology.
The US market dominated the North America Self-supervised Learning Market by Country in 2021, and would continue to be a dominant market till 2028; thereby, achieving a market value of $14,996.7 million by 2028. The Canada market is poised to grow at a CAGR of 31.2% during (2022 - 2028). Additionally, The Mexico market would witness a CAGR of 34.7% 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 U.S., Mexico, Canada, and Rest of North America.
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
- Natural Language Processing (NLP)
- Computer Vision
- Speech Processing
- US
- Canada
- Mexico
- Rest of North America
- 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.
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- Chapter 1. Market Scope & Methodology
- 1.1 Market Definition
- 1.2 Objectives
- 1.3 Market Scope
- 1.4 Segmentation
- 1.4.1 North America Self-supervised Learning Market, by End-use
- 1.4.2 North America Self-supervised Learning Market, by Technology
- 1.4.3 North America 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 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
- 3.2.4 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. North America Self-supervised Learning Market by End-use
- 4.1 North America BFSI Market by Country
- 4.2 North America Advertising & Media Market by Country
- 4.3 North America Software Development (IT) Market by Country
- 4.4 North America Automotive & Transportation Market by Country
- 4.5 North America Healthcare Market by Country
- 4.6 North America Others Market by Country
- Chapter 5. North America Self-supervised Learning Market by Technology
- 5.1 North America Natural Language Processing (NLP) Market by Country
- 5.2 North America Computer Vision Market by Country
- 5.3 North America Speech Processing Market by Country
- Chapter 6. North America Self-supervised Learning Market by Country
- 6.1 US Self-supervised Learning Market
- 6.1.1 US Self-supervised Learning Market by End-use
- 6.1.2 US Self-supervised Learning Market by Technology
- 6.2 Canada Self-supervised Learning Market
- 6.2.1 Canada Self-supervised Learning Market by End-use
- 6.2.2 Canada Self-supervised Learning Market by Technology
- 6.3 Mexico Self-supervised Learning Market
- 6.3.1 Mexico Self-supervised Learning Market by End-use
- 6.3.2 Mexico Self-supervised Learning Market by Technology
- 6.4 Rest of North America Self-supervised Learning Market
- 6.4.1 Rest of North America Self-supervised Learning Market by End-use
- 6.4.2 Rest of North America 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:
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