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.
Free Valuable Insights: The Global Self-supervised Learning Market is Predict to reach $51.7 Billion by 2028, at a CAGR of 33.3%
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.
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