Small Language Model Market: Size, Share, Growth, Analysis, Key Players, Revenue, Growth | Valuates Reports

Small Language Model Market Size
According to new survey, global Small Language Model market is projected to reach US$ 17180 million in 2029, increasing from US$ 5180 million in 2022, with the CAGR of 17.8% during the period of 2023 to 2029.

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Small Language Model Market Trends
The expanding use of AI in a variety of sectors and the growing need for effective, affordable solutions for jobs involving natural language processing are the main factors propelling the growth of the tiny language model market. Small language models have an advantage over larger ones: they require less processing power, which makes them more accessible and cost-effective for startups and medium-sized businesses that might not have the funds to purchase the hardware required to run larger models. These smaller versions nonetheless offer a great deal of accuracy and speed, making them useful for a variety of applications including chatbots, tailored consumer interactions, content creation, and more. Businesses are still looking for ways to increase client engagement and their services without having to invest a lot of money in new technology.
Additionally, compact language models are now more powerful than ever because to developments in machine learning and model efficiency. Models that maintain a high degree of performance while being much less demanding in terms of data storage and processing needs have been made possible by innovations like model distillation and pruning. Due to technological advancements, tiny language models may now be used for more complicated tasks than only text-based ones. These tasks include sentiment analysis, language translation, and even some automated reasoning. The use of smaller models is also encouraged by regulatory pressure surrounding data privacy and the requirement for models that can operate on edge devices without continuous internet access.

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Segment by Type
• Below 5 Billion Parameters
• Above 5 Billion Parameters

Segment by Application
• Artificial Intelligence Training
• Chatbots and Virtual Assistants
• Content Generation
• Language Translation
• Code Development
• Medical Diagnosis and Treatment
• Education
• Others

By Company
Llama 2 (Meta AI), Phi2 (Microsoft), Orca (Microsoft), Stable Beluga 7B (Meta AI), X Gen (Salesforce AI), Qwen (Alibaba), Alpaca 7B (Meta), MPT (Mosaic ML), Falcon 7B (Technology Innovation Institute (TII) from the UAE), Zephyr (Hugging Face)

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This release was published on openPR.