Self-Supervised Learning Market Global Industry Size, Share, Trends, Growth Factors, and Regional Outlook To 2032
Self-Supervised Learning Market Overview: Self-supervised learning was a growing and promising area within the field of machine learning and artificial intelligence. Self-supervised learning is a type of learning paradigm where models are trained to predict certain parts or aspects of the data without requiring explicit human-labeled annotations. Instead, the model generates its own supervision signals from the input data. The Self-supervised Learning market is projected to grow from USD 10.6 Billion in 2023 to USD 108.6 Billion by 2032, CAGR of 33.80% by 2032. Here's a general overview of the self-supervised learning market up until 2021: Background: Self-supervised learning gained significant attention due to its potential to leverage large amounts of unlabeled data, which is abundant in many real-world applications. By utilizing self-supervised learning, models can pretrain on this unlabeled data and then fine-tune on smaller labeled datasets for specific tasks. Th...