Global SLM Market Projected to Reach USD 25.59 Billion by 2036 Driven by On-Device and Agentic AI
Yahoo Finance ·
The worldwide small language models market is valued at USD 2.35 billion in 2025 and is anticipated to climb to USD 3.10 billion in 2026, according to recent industry reports. Revenues are forecasted to expand at a compound annual growth rate of 23.5%, achieving USD 25.59 billion by 2036. This sector focuses on models with approximately 15 billion parameters or fewer, propelled largely by the rapid adoption of agentic and on-device artificial intelligence. Research from NVIDIA and the Georgia Institute of Technology highlights that 7-billion-parameter models demand significantly less compute and latency compared to massive architectures. Meanwhile, major technology players like Apple and Google are advancing on-device deployment capabilities. Despite hardware constraints such as tight memory supplies and component price increases, hybrid routing architectures are gaining traction to optimize inference costs and performance across enterprise deployments.
AI 시장 분석
The global Small Language Model (SLM) market is projected to grow at a CAGR of 23.5% from $3.1 billion in 2026 to $25.59 billion in 2036. The proliferation of on-device AI and agentic AI is driving lower inference costs and improved efficiency, leading to revenue expansion for related companies. Investors should monitor the adoption of hybrid AI architectures and memory supply constraints simultaneously.
상승 영향
- AI — The Small Language Model (SLM) market is projected to grow at a CAGR of 23.5% from $3.1 billion in 2026 to $25.59 billion in 2036, increasing related software and platform revenues.
하락 영향
- Semiconductors — Concentrated demand for high-bandwidth memory restricts the supply of standard DRAM and NAND, leading to price hikes by companies like Samsung (up to 60%) and acting as a burden on on-device AI device deployment.
DYAX 전담 분석
Small models with under 7 billion parameters require 10 to 30 times less energy and computing resources compared to large models, maximizing the efficiency of AI agents. As big tech companies like Microsoft, Google, and Alibaba accelerate related investments, license and managed service revenues are directly increasing.
The bullish scenario involves a surge in demand for related software and hybrid routing services driven by accelerated on-device AI adoption, while the bearish scenario entails device installation constraints caused by memory semiconductor supply shortages and rising prices. Key indicators to watch are the achievement of the 2026-2036 CAGR of 23.5% and DRAM/NAND price trends.
AI가 생성한 분석으로 투자 자문이 아닙니다.
DYAX Investor Sentiment
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