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Large Language ModelsAI Business & IndustryYahoo Finance AIPublished: Nov 3, 2026, 01:00 JST

Small language model market to hit USD 25.59 billion by 2036

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Small language model market to hit USD 25.59 billion by 2036

3 Key Points

  1. What happened

    ResearchAndMarkets.com forecasts the global small language models market will grow from USD 3.10 billion in 2026 to USD 25.59 billion by 2036, a 23.5% CAGR.

  2. Why it matters

    That growth projection points to rising spending on compact AI models and the tooling and services around them, not just on large-scale cloud AI.

  3. What to watch

    The forecast period runs 2026-2036, with revenue projected to reach USD 25.59 billion by 2036.

WHO IT HITSEnterprise AI teams building agentic workflows and developers deploying on-device features will see more vendor options for compact models, while model providers and integrators may find new licensing and managed-services revenue.

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Context & Analysis

The forecast lands as operating system providers are widening access to compact models. Apple's Foundation Models framework, introduced at WWDC 2025, gave developers offline access to an on-device model of roughly 3 billion parameters, compressed to 2-bit precision and available in 15 languages without inference fees. Apple then released its third generation of foundation models at WWDC26 in June 2026. Google also supports on-device models for smartphones, letting developers add generative AI features without relying entirely on cloud infrastructure.

On the enterprise side, the report ties demand to agentic AI workloads. It cites research published in June 2025 by NVIDIA Research and the Georgia Institute of Technology finding that serving a 7-billion-parameter model can require 10 to 30 times less latency, energy, and compute than serving models with 70 to 175 billion parameters. That study also indicated specialized small models could handle 40% to 70% of large-model queries in widely used open-source agents.

The revenue base the report tracks is broad, spanning model licenses, APIs, paid support, platform fees, OEM agreements, managed services, customization, and integration. That mix suggests the projected growth is not only about model sales but also about the surrounding deployment and service layers, though the forecast itself is a projection rather than a reported result.

FAQ
What counts as a small language model in this forecast?
The report covers language models with approximately 15 billion parameters or fewer, including models for smartphones, PCs, vehicles, edge devices, on-premises servers, and cost-efficient cloud environments.
Which model families does the report track?
It includes proprietary and open-weight families such as Microsoft Phi, Google Gemma, Alibaba Qwen, IBM Granite, and TII Falcon, along with on-device models, adaptation platforms, inference tools, and deployment services.
What is driving the projected growth?
The report names agentic AI, on-device deployment, and sovereign AI as major growth drivers, with enterprise AI agents generating high volumes of classification, extraction, routing, and tool-calling requests.
Yahoo Finance AIRead Original Article
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