PUBLISHER: Grand View Research | PRODUCT CODE: 1588675
PUBLISHER: Grand View Research | PRODUCT CODE: 1588675
The global self-supervised learning market size is estimated to reach USD 89.68 billion by 2030, expanding at a CAGR of 35.2% from 2025 to 2030, according to a new report by Grand View Research, Inc. Self-supervised learning is a machine learning technique used prominently in Natural Language Processing (NLP), followed by computer vision and speech processing applications. Applications of self-supervised learning include paraphrasing, colorization, and speech recognition.
The COVID-19 pandemic had a positive impact on the market. More businesses adopted AI and Machine Learning as a response to the COVID-19 pandemic. Many prominent market players such as U.S.-based Amazon Web Services, Inc., Google, and Microsoft witnessed a rise in revenue during the pandemic. Moreover, accelerated digitalization also contributed to the adoption of self-supervised learning applications. For instance, in April 2020, Google Cloud, a business segment of Google, launched an Artificial Intelligence (AI) chatbot that provides critical information to fight the COVID-19 pandemic.
Many market players offer solutions for various applications such as text-to-speech and language translation & prediction. Moreover, these players are researching in self-supervised learning. For instance, U.S.-based Meta has been advancing in self-supervised learning research and has developed various algorithms and models. In February 2022, Meta announced new advances in the company's self-supervised computer vision model SEER. The model is more powerful and is expected to enable the company in building computer vision products.