| 出版社 | MarketsandMarkets |
| 出版年月 | 2025年3月 |
Small Language Models (SMLs) Market – Global Forecast to 2032
The Small language models market is projected to grow from USD 0.93 billion in 2025 to USD 5.45 billion by 2032, at a compound annual growth rate (CAGR) of 28.7% during the forecast period.
小規模言語モデル（SLM）市場は、予測期間中に年平均成長率 (CAGR) 28.7% で成長し、2025 年の 9 億 3,000 万米ドルから 2032 年には 54 億 5,000 万米ドルに達すると予測されています。
SLMs require lower computational power, making them ideal for tasks like conversational AI, fraud detection, and predictive maintenance in industries such as finance, healthcare, and manufacturing. Additionally, the growth of AI-powered automation and robotic process automation (RPA) is driving SLM adoption, as businesses seek efficient, cost-effective AI solutions for automating workflows, data extraction, and customer support. SLMs enable on-device processing, reducing reliance on cloud infrastructure and enhancing privacy. SLMs face performance limitations, as they have fewer parameters and reduced capacity for complex reasoning, nuanced text generation, and deep contextual understanding. This can impact their accuracy and effectiveness in tasks requiring extensive knowledge or intricate decision-making. Additionally, SLMs often struggle with specialized applications due to limited training data. SLMs may lack the depth needed for large domain-specific expertise, making them less effective in areas like legal case analysis, medical diagnostics, or scientific research.
SLM は計算能力を必要としないため、金融、医療、製造業などの業界における会話型 AI、不正検出、予知保全などのタスクに最適です。さらに、AI を活用した自動化とロボティック プロセス オートメーション (RPA) の成長は、企業がワークフロー、データ抽出、顧客サポートを自動化するための効率的で費用対効果の高い AI ソリューションを求めていることから、SLM の採用を促進しています。SLM はデバイス上での処理を可能にするため、クラウド インフラストラクチャへの依存が減り、プライバシーが強化されます。SLM はパラメーターが少なく、複雑な推論、ニュアンスのあるテキスト生成、深いコンテキスト理解の能力が低いため、パフォーマンスの制限に直面しています。これは、広範な知識や複雑な意思決定を必要とするタスクにおける精度と有効性に影響を与える可能性があります。さらに、SLM はトレーニング データが限られているため、特殊なアプリケーションで苦労することがよくあります。SLM は、大規模なドメイン固有の専門知識に必要な深さが不足している場合があり、法的ケース分析、医療診断、科学研究などの分野では効果が低くなります。
The report includes the study of vendors offering small language models market. It profiles major vendors in the small language models market. The major players in the small language models market include Microsoft (US), IBM (US), Infosys (India), Mistral AI (France), AWS (US), Meta (US), Anthropic (US), Cohere (Canada), OpenAI (US), Alibaba (China), Arcee AI (US), Deepseek (China), Upstage AI (US), AI21 Labs (Israel), Krutrim (India), Stability AI (UK), Together AI (US), Lamini AI (US), Groq (US), Malted.ai (UK), Predibase (US), Cerebras (US), Ollama (US), Fireworks AI (US), Snowflake (US), and Prem AI (Switzerland).
The report provides insights on the following pointers:
- Analysis of key drivers (regulatory compliance driving local AI adoption, affordable AI solutions expanding market reach, advancements in model compression enabling efficiency and industry-specific AI models enhancing performance), restraints (shallow contextual understanding limits accuracy, lack of multimodal processing restricts functionality and fragmented development tools slowing standardization), opportunities (self-optimizing AI models enabling continuous improvement, automated AI model optimization via meta-learning and specialized AI infrastructure enhancing SLM efficiency), and challenges (combating AI-generated misinformation and deepfakes and limited scalability restricting generalized AI applications).
- Product Development/Innovation: Detailed insights on upcoming technologies, research & development activities, and new product & service launches in the small language models market.
- Market Development: Comprehensive information about lucrative markets – the report analyses the small language models market across varied regions.
- Market Diversification: Exhaustive information about new products & services, untapped geographies, recent developments, and investments in the small language models market.
- Competitive Assessment: In-depth assessment of market shares, growth strategies and service offerings of leading players like Microsoft (US), IBM (US), Infosys (India), Mistral AI (France), AWS (US), Meta (US), Anthropic (US), Cohere (Canada), OpenAI (US), Alibaba (China), Arcee AI (US), Deepseek (China), Upstage AI (US), AI21 Labs (Israel), Krutrim (India), Stability AI (UK), Together AI (US), Lamini AI (US), Groq (US), Malted.ai (UK), Predibase (US), Cerebras (US), Ollama (US), Fireworks AI (US), Snowflake (US), and Prem AI (Switzerland), among others in the small language models market. The report also helps stakeholders understand the pulse of the small language models market and provides them with information on key market drivers, restraints, challenges, and opportunities.