PUBLISHER: Grand View Research | PRODUCT CODE: 1575260
PUBLISHER: Grand View Research | PRODUCT CODE: 1575260
The small language model market size was estimated at USD 7.76 billion in 2023 and is projected to grow at a CAGR of 15.6% from 2024 to 2030. As businesses manage the complexities of generative AI and small language model are provide promising solution that strikes a balance between capability and practicality. These models mark an important advancement in AI technology, providing companies with a way to leverage AI's power in a more controlled, efficient, and customized manner. The continuous improvements and innovations in small language model technology are expected to influence the future of enterprise AI solutions significantly.
Small Language Models (SLMs) stand out due to their strategic use of fewer limitations, normally varying from tens to hundreds of millions, compared to the billions found in larger models. This deliberate design boosts computational efficiency and task-specific performance while preserving strong language conception and generation abilities. Key techniques such as knowledge distillation, model compression, and transfer learning are crucial for optimizing SLMs. These methods help extract the extensive knowledge of larger models into a more focused and domain-specific tool, allowing SLMs to deliver precise and effective applications while maintaining high performance.
Global Small Language Model Market Report Segmentation
This report forecasts revenue growth at global, regional, and country levels and provides an analysis of the latest industry trends in each of the sub-segments from 2018 to 2030. For this study, Grand View Research has segmented the global small language model market report based on technology, deployment, application, and region: