The self-supervised learning market is experiencing significant growth driven by data abundance, scalability and efficiency, performance improvement, transfer learning and fine-tuning, domain adaptation and generalization, and interdisciplinary applications. The market is expected to reach USD 124.06 Billion by 2031, with major players including IBM, Alphabet Inc., Microsoft, and Amazon Web Services, Inc. The demand for self-supervised learning is expanding across industries, but a lack of trained professionals is holding it back. However, big companies like Google are investing in self-directed learning platforms to equip workers with the necessary skills. The market is segmented by component (solution and service), technology (natural language processing, computer vision, and speech processing), and organization size (small and medium-sized enterprises and large enterprises).
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