Global AI Small Language Model Market Growth (Status and Outlook) 2025-2031

The global AI Small Language Model market size is predicted to grow from US$ 5889 million in 2025 to US$ 19120 million in 2031; it is expected to grow at a CAGR of 21.7% from 2025 to 2031.

AI Small Language Model is a technology in the field of artificial intelligence. It refers to a model with a smaller scale and fewer parameters than a large language model (such as the GPT series). These models can achieve relatively good performance at a lower computational cost when dealing with specific tasks or fields. Small language models are a compact and efficient alternative to large language models, and are expected to enable AI to meet various needs.

United States market for AI Small Language Model is estimated to increase from US$ million in 2024 to US$ million by 2031, at a CAGR of % from 2025 through 2031.

China market for AI Small Language Model is estimated to increase from US$ million in 2024 to US$ million by 2031, at a CAGR of % from 2025 through 2031.

Europe market for AI Small Language Model is estimated to increase from US$ million in 2024 to US$ million by 2031, at a CAGR of % from 2025 through 2031.

Global key AI Small Language Model players cover Meta AI, Microsoft, Salesforce AI, Alibaba, Mosaic ML, etc. In terms of revenue, the global two largest companies occupied for a share nearly % in 2024.

LPI (LP Information)' newest research report, the “AI Small Language Model Industry Forecast” looks at past sales and reviews total world AI Small Language Model sales in 2024, providing a comprehensive analysis by region and market sector of projected AI Small Language Model sales for 2025 through 2031. With AI Small Language Model sales broken down by region, market sector and sub-sector, this report provides a detailed analysis in US$ millions of the world AI Small Language Model industry.

This Insight Report provides a comprehensive analysis of the global AI Small Language Model landscape and highlights key trends related to product segmentation, company formation, revenue, and market share, latest development, and M&A activity. This report also analyses the strategies of leading global companies with a focus on AI Small Language Model portfolios and capabilities, market entry strategies, market positions, and geographic footprints, to better understand these firms’ unique position in an accelerating global AI Small Language Model market.

This Insight Report evaluates the key market trends, drivers, and affecting factors shaping the global outlook for AI Small Language Model and breaks down the forecast by Type, by Application, geography, and market size to highlight emerging pockets of opportunity. With a transparent methodology based on hundreds of bottom-up qualitative and quantitative market inputs, this study forecast offers a highly nuanced view of the current state and future trajectory in the global AI Small Language Model.

This report presents a comprehensive overview, market shares, and growth opportunities of AI Small Language Model market by product type, application, key players and key regions and countries.

Segmentation by Type:
Below 5 Billion Parameters
Above 5 Billion Parameters

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

This report also splits the market by region:
Americas
United States
Canada
Mexico
Brazil
APAC
China
Japan
Korea
Southeast Asia
India
Australia
Europe
Germany
France
UK
Italy
Russia
Middle East & Africa
Egypt
South Africa
Israel
Turkey
GCC Countries

The below companies that are profiled have been selected based on inputs gathered from primary experts and analyzing the company's coverage, product portfolio, its market penetration.
Meta AI
Microsoft
Salesforce AI
Alibaba
Mosaic ML
Technology Innovation Institute (TII)
Apple
Mistral AI
Cerebras
Stability AI
Google
Hugging Face

Please note: The report will take approximately 2 business days to prepare and deliver.