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小規模言語モデルの世界市場

Small Language Model

出版日
ページ情報
英文 184 Pages
納期
即日から翌営業日
適宜更新あり
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価格表記: USDを日本円(税抜)に換算
本日の銀行送金レート: 1USD=148.66円
小規模言語モデルの世界市場
出版日: 2025年08月12日
発行: Global Industry Analysts, Inc.
ページ情報: 英文 184 Pages
納期: 即日から翌営業日
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  • 目次
概要

小規模言語モデルの世界市場は2030年までに231億米ドルに達する見込み

2024年に97億米ドルと推定される小規模言語モデルの世界市場は、2024年から2030年にかけてCAGR 15.6%で成長し、2030年には231億米ドルに達すると予測されます。本レポートで分析したセグメントの1つであるディープラーニングベースは、CAGR14.1％を記録し、分析期間終了までに134億米ドルに達すると予測されます。機械学習ベースのセグメントの成長率は、分析期間でCAGR 18.1%と推定されます。

米国市場は25億米ドルと推定、中国はCAGR14.7％で成長予測

米国の小規模言語モデルル市場は、2024年に25億米ドルと推定されます。世界第2位の経済大国である中国は、2030年までに36億米ドルの市場規模に達すると予測され、分析期間2024-2030年のCAGRは14.7%です。その他の注目すべき地域別市場としては、日本とカナダがあり、分析期間中のCAGRはそれぞれ14.1％と13.6％と予測されています。欧州では、ドイツがCAGR 11.6%で成長すると予測されています。

世界の小規模言語モデル市場- 主要動向と促進要因のまとめ

小型言語モデルはどのようにエッジのAIエコシステムを破壊しているのか？

小型言語モデル（SLM）は、特にエッジコンピューティング環境において、人工知能（AI）の運用パラダイムを急速に再定義しつつあります。GPT-4やPaLMのような大規模な言語モデルとは異なり、SLMはよりスリムで効率的であり、スマートフォン、組み込みシステム、IoTゲートウェイ、スマート家電などの低消費電力デバイスに直接導入することができます。このアーキテクチャの俊敏性により、クラウドへの常時接続に依存することなく、リアルタイムの推論やローカライズされたデータ処理が可能になり、運用コストの削減だけでなく、プライバシーやデータ主権も大幅に強化されます。SLMは通常、数百万から数億のパラメーターを持つため、計算が非常に容易です。重要なのは、これらのモデルが、プライバシー保護計算が必須である分散型AIアプリケーションにますます統合されつつあることです。モバイル・アプリの文脈検索エンジンから、ノートを取るアプリケーションの筆記支援、ARメガネのリアルタイム言語翻訳に至るまで、導入範囲は広大で拡大しています。さらに、企業はこれらのモデルをヘルスケア診断アプリ、法律契約要約ツール、小売チャットボットなどの業種別ツールに組み込み、B2BとB2Cのドメイン全体で大規模な採用を推進しています。金融やヘルスケアのような規制業界においても、SLMの魅力は、制約された出力空間と生成的幻覚の可能性の低さによるリスクフットプリントの低減にあります。注目すべきは、MetaのLLaMAバリエーションやMistralモデルのようなオープンソースのSLMは、開発を民主化し、独立した研究者や新興企業が迅速に反復することを可能にしています。さらに、画像、音声、テキストを同時に処理できるマルチモーダル小型モデルの台頭は、組み込みAIシステムがリアルタイムでユーザーと対話する方法を再構築し始めています。

オープンソースのSLMフレームワークやツールの普及を後押ししているのは？

SLMの採用を大きく加速させたのは、オープンソースのモデル・リポジトリ、圧縮技術、推論最適化ツールキットのエコシステムが急成長していることです。Hugging FaceのTransformers、ONNX Runtime、TinyML Foundationの進歩、量子化を考慮したトレーニング手法などの取り組みにより、開発者は、商用ライセンスやハイエンドのインフラに関連するオーバーヘッドなしに、SLMを微調整し、展開することができるようになりました。スパース・トレーニング、モデル蒸留、量子化（INT8/INT4）、刈り込みは、推論性能を向上させるだけでなく、場合によってはメモリフットプリントをキロバイトレベルまで削減します。さらに、Nvidia Jetson、Google Coral、Apple Neural Engine、Qualcomm AI EngineのようなエッジAIハードウェア・プラットフォームは現在、これらの無駄のないモデルを処理するように最適化されており、高性能AIと電力制約環境とのギャップをさらに埋めています。SLMと連携学習フレームワークの相乗効果も注目に値します。オンデバイスでの学習とローカルでのモデル更新を可能にすることで、連携セットアップでは、実現可能性と応答性を確保するために、より小さなモデルがますます好まれるようになっています。TensorFlow Lite、PyTorch Mobile、Core MLなどのツールチェーンは、量子化されたSLMをサポートするために大幅なアップグレードが行われました。さらに、合成データ生成技術と自動ラベリングにより、モデル学習プロセスが合理化され、ドメイン固有のSLMの開発サイクルが大幅に短縮されています。興味深いことに、これらのSLMの多くは多言語機能を備えて開発されており、音声アシスタント、翻訳ツール、および低リソース言語のコールセンター自動化において、世界のスケーラビリティを実現しています。MMLU、AlpacaEval、BLEUスコアなどのモデル評価ベンチマークが利用できるようになったことで、多様なユースケースにおける性能評価の透明性も高まっています。

SLMの使用事例と展開において、企業はどこに投資しているのか？

各分野の企業は、もはやSLMを単に規模を縮小した代替品と見なすのではなく、SLMの用途に特化した独自の役割を積極的に模索しています。車載システムでは、SLMがインフォテインメント・システム、音声ナビゲーション、ドライバー・アシスト・モジュールに電力を供給し、即座に低レイテンシで応答しています。ヘルスケア分野では、ウェアラブルデバイスにコンパクトなモデルがプリインストールされ、外部との通信なしに患者のバイタルをモニターし、パーソナライズされたフィードバックを提供しています。小売分野では、拡張現実を利用したショッピング・アシスタント、レコメンデーション・エンジン、セルフサービス・キオスクが、データのアップロードを必要としないシームレスなユーザー・インタラクションを実現するため、SLMへの依存度を高めています。一方、産業用製造業では、SLMを活用した予知保全ツールがローカル・センサー・データを分析し、異常や操作の非効率性をリアルタイムで特定しています。サイバーセキュリティベンダーは、スパムフィルタリング、異常検知、セキュアコード解析のための軽量NLPモデルをエンドポイントデバイスに直接統合しています。さらに、Edtechプラットフォームは、オフラインで利用可能な小型モデルを使用して、地方や接続の不十分な地域で対話型の個別指導や宿題の手助けを提供しています。組込み環境へのAIの分散は、GDPRやHIPAAなどのデータプライバシー規制によってさらに促進されています。教育分野もその恩恵を受けており、モバイルファーストの学習アプリでは、リアルタイムの要約、フィードバック、理解度評価にSLMが使用されています。さらに、最小限の計算予算で資産の局所的な挙動をシミュレートするデジタルツインシステムでも、SLMの利用が増えています。多くの場合100MB未満のデータで、これらのモデルを迅速に微調整できるため、小規模企業や新興企業は、ドメインに特化したNLPアプリケーションをエッジで迅速に展開することができます。

なぜ世界の小規模言語モデル市場は急成長しているのか？

世界の小規模言語モデル（SLM）市場の成長は、技術的進歩、企業戦略の転換、ユーザー行動の進化に根ざしたいくつかの要因によってもたらされています。主な要因の1つは、モデルの圧縮と最適化技術が加速度的に進歩し、10億パラメータ以下のモデルが、対象とするベンチマークにおいて大規模なモデルに匹敵するようになったことです。多くの企業ユースケース、特に情報検索、分類、要約、および指示追従に関連するユースケースは、大規模な基礎モデルのオーバーヘッドを必要としないため、SLMがよりコスト効率に優れ、持続可能であることを、企業はますます認識するようになっています。もう1つの重要な要因は、家電製品においてオンデバイスAIが重視されるようになっていることで、そこではエネルギー効率の高いリアルタイム推論が新製品ラインのセールスポイントとなっています。スマートフォン、ウェアラブル、スマートテレビ、ホームオートメーションシステムにおけるAI対応エッジハードウェアの台頭は、SLM統合に有利な環境を作り出しています。規制とコンプライアンスの圧力も中心的な役割を果たしており、企業は厳しいプライバシー基準を満たし、法的な露出を最小限に抑えるために、データローカル推論用のSLMを好んで使用しています。エンドユーザーの嗜好も進化しており、消費者はより速く、よりコンテキストを認識し、パーソナライズされたAI体験を要求しています。もう1つの強力な推進力は、ボトルネックやフェイルオーバーの問題に直面する可能性のある集中型APIを介した単一の大規模モデルに依存するのとは対照的に、異なるエンドポイントにわたって何千もの小規模でタスク固有のモデルを展開する運用上のスケーラビリティです。さらに、テキスト、音声、視覚、ジェスチャー認識を含むマルチモーダル・アプリケーションの急速な普及により、多様な環境にシームレスに組み込むことができる、小さくても汎用性の高いモデルに対する需要が生まれています。最後に、より優れたモデル評価スイート、事前訓練済みチェックポイント、合成データセットジェネレーター、MLOpsパイプラインなど、SLMツールのエコシステムが成熟するにつれて、SLMを導入するための総所有コスト（TCO）は低下し続け、ヘルスケア、フィンテック、自動車、Edtech、産業用IoTなどの分野での市場浸透がさらに加速しています。

セグメント

テクノロジー（ディープラーニングベース、機械学習ベース、ルールベースシステム）、デプロイメント（クラウド、オンプレミス、ハイブリッド）、アプリケーション（コンシューマーアプリケーション、エンタープライズアプリケーション、ヘルスケア、金融、小売、法律、その他）

調査対象企業の例

  • Alibaba Group
  • Amazon Web Services（AWS）
  • Anthropic
  • Aporia
  • Apple Inc.
  • Arcee AI
  • Calypso AI Corp
  • Cohere
  • Databricks
  • DeepSeek
  • EvolutionaryScale
  • Genesis Therapeutics
  • Google
  • HCLTech
  • Hugging Face
  • IBM Corporation
  • Infosys
  • Meta Platforms, Inc.
  • Microsoft
  • Mistral AI
  • Mosaic ML
  • NVIDIA Corporation
  • OpenAI
  • Primer
  • Quantifind
  • Salesforce AI
  • Scale AI
  • Tech Mahindra
  • Technology Innovation Institute（TII）
  • Yutori

AIインテグレーション

Global Industry Analystsは、有効な専門家コンテンツとAIツールによって、市場情報と競合情報を変革します。

Global Industry Analystsは、LLMや業界固有のSLMを照会する一般的な規範に従う代わりに、ビデオ記録、ブログ、検索エンジン調査、膨大な量の企業、製品/サービス、市場データなど、世界中の専門家から収集したコンテンツのリポジトリを構築しました。

関税影響係数

Global Industry Analystsは、本社の国、製造拠点、輸出入（完成品とOEM）に基づく企業の競争力の変化を予測しています。この複雑で多面的な市場力学は、売上原価（COGS）の増加、収益性の低下、サプライチェーンの再構築など、ミクロおよびマクロの市場力学の中でも特に競合他社に影響を与える見込みです。

目次

第1章 調査手法

第2章 エグゼクティブサマリー

  • 市場概要
  • 主要企業
  • 市場動向と促進要因
  • 世界市場の見通し

第3章 市場分析

  • 米国
  • カナダ
  • 日本
  • 中国
  • 欧州
  • フランス
  • ドイツ
  • イタリア
  • 英国
  • その他欧州
  • アジア太平洋
  • その他の地域

第4章 競合

目次
Product Code: MCP32961

Global Small Language Model Market to Reach US$23.1 Billion by 2030

The global market for Small Language Model estimated at US$9.7 Billion in the year 2024, is expected to reach US$23.1 Billion by 2030, growing at a CAGR of 15.6% over the analysis period 2024-2030. Deep Learning-based, one of the segments analyzed in the report, is expected to record a 14.1% CAGR and reach US$13.4 Billion by the end of the analysis period. Growth in the Machine Learning-based segment is estimated at 18.1% CAGR over the analysis period.

The U.S. Market is Estimated at US$2.5 Billion While China is Forecast to Grow at 14.7% CAGR

The Small Language Model market in the U.S. is estimated at US$2.5 Billion in the year 2024. China, the world's second largest economy, is forecast to reach a projected market size of US$3.6 Billion by the year 2030 trailing a CAGR of 14.7% over the analysis period 2024-2030. Among the other noteworthy geographic markets are Japan and Canada, each forecast to grow at a CAGR of 14.1% and 13.6% respectively over the analysis period. Within Europe, Germany is forecast to grow at approximately 11.6% CAGR.

Global Small Language Model Market - Key Trends & Drivers Summarized

How Are Small Language Models Disrupting the AI Ecosystem at the Edge?

Small Language Models (SLMs) are rapidly redefining the operational paradigm of artificial intelligence (AI), particularly in edge computing environments. Unlike their larger counterparts such as GPT-4 or PaLM, which often demand extensive computational resources and high latency networks, SLMs are leaner, more efficient, and capable of being deployed directly on low-power devices including smartphones, embedded systems, IoT gateways, and even smart home appliances. This architectural agility allows for real-time inference and localized data processing without reliance on constant cloud connectivity, which not only reduces operational costs but also significantly enhances privacy and data sovereignty. SLMs typically range between a few million to a few hundred million parameters, making them far more computationally accessible. Importantly, these models are increasingly being integrated into decentralized AI applications where privacy-preserving computations are mandatory. From contextual search engines on mobile apps to assistive writing in note-taking applications and real-time language translation in AR glasses, the scope of deployment is vast and expanding. Additionally, companies are embedding these models into vertical-specific tools like healthcare diagnostics apps, legal contract summarizers, and retail chatbots, driving massive adoption across B2B and B2C domains. Even in regulated industries such as finance and healthcare, the appeal of SLMs lies in their reduced risk footprint due to constrained output spaces and lower likelihood of generative hallucinations. Notably, open-source SLMs such as Meta’s LLaMA variants and Mistral models have democratized development, enabling independent researchers and startups to iterate rapidly. Furthermore, the rise of multimodal small models capable of processing images, audio, and text simultaneously has begun to reshape how embedded AI systems interact with users in real time.

What’s Fueling the Proliferation of Open-Source SLM Frameworks and Tooling?

A significant accelerant to the adoption of SLMs has been the burgeoning ecosystem of open-source model repositories, compression techniques, and inference optimization toolkits. Initiatives like Hugging Face’s Transformers, ONNX Runtime, TinyML Foundation’s advancements, and quantization-aware training methodologies have enabled developers to fine-tune and deploy SLMs without the overhead associated with commercial licensing or high-end infrastructure. Sparse training, model distillation, quantization (INT8/INT4), and pruning are not only enhancing inference performance but also reducing memory footprints to kilobyte levels in some cases. Moreover, edge AI hardware platforms like Nvidia Jetson, Google Coral, Apple Neural Engine, and Qualcomm AI Engine are now optimized to handle these leaner models, further bridging the gap between high-performance AI and power-constrained environments. The synergies between SLMs and federated learning frameworks are also noteworthy; by enabling on-device training and local model updates, federated setups are increasingly favoring smaller models to ensure feasibility and responsiveness. Toolchains like TensorFlow Lite, PyTorch Mobile, and Core ML have undergone significant upgrades to support quantized SLMs, while low-code platforms are also facilitating easier customization and deployment for non-experts. Furthermore, synthetic data generation techniques and automated labeling are streamlining the model training process, significantly reducing development cycles for domain-specific SLMs. Interestingly, many of these SLMs are being developed with multilingual capabilities, enabling global scalability in voice assistants, translation tools, and call center automation in low-resource languages. The availability of model evaluation benchmarks such as MMLU, AlpacaEval, and BLEU scores is also promoting transparency in performance assessments across diverse use cases.

Where Are Enterprises Channeling Investments in SLM Use Cases and Deployment?

Enterprises across sectors are no longer viewing SLMs merely as scaled-down alternatives but are actively exploring unique, application-specific roles for them. In automotive systems, SLMs are powering infotainment systems, voice navigation, and driver-assist modules with instant, low-latency response. In the healthcare sector, wearable devices now come preloaded with compact models that monitor patient vitals and deliver personalized feedback without external communication. In the retail space, augmented reality shopping assistants, recommendation engines, and self-service kiosks are increasingly relying on SLMs to ensure seamless user interaction without requiring data uploads. Meanwhile, in industrial manufacturing, predictive maintenance tools powered by SLMs analyze local sensor data to identify anomalies and operational inefficiencies in real time. Cybersecurity vendors are integrating lightweight NLP models for spam filtering, anomaly detection, and secure code analysis directly into endpoint devices. Furthermore, edtech platforms are using offline-capable small models to provide interactive tutoring and homework help in rural and underconnected regions. This dispersion of AI across embedded environments is being further incentivized by data privacy regulations such as GDPR and HIPAA, which often discourage or restrict the transmission of sensitive data to cloud servers. The education sector is also benefiting, with mobile-first learning apps using SLMs for real-time summarization, feedback, and comprehension assessments. Moreover, SLMs are increasingly used in digital twin systems for simulating localized behavior of assets with minimal computational budgets. The ability to fine-tune these models quickly, often with less than 100 MB of data, is allowing small enterprises and startups to rapidly deploy domain-specialized NLP applications at the edge.

Why Is the Global Small Language Model Market Seeing Rapid Growth?

The growth in the global Small Language Model (SLM) market is driven by several factors rooted in technical advancements, shifting enterprise strategies, and evolving user behavior. One major driver is the accelerated progress in model compression and optimization techniques, enabling sub-billion parameter models to rival larger ones in targeted benchmarks. Organizations are increasingly recognizing that many enterprise use cases-especially those related to information retrieval, classification, summarization, and instruction-following-do not require the overhead of large foundation models, making SLMs more cost-effective and sustainable. Another critical factor is the growing emphasis on on-device AI in consumer electronics, where energy-efficient, real-time inference has become a selling point for new product lines. The rise of AI-capable edge hardware in smartphones, wearables, smart TVs, and home automation systems has created a favorable environment for SLM integration. Regulatory and compliance pressures are also playing a central role, with enterprises preferring SLMs for data-local inference to meet stringent privacy standards and minimize legal exposure. End-user preferences are evolving as well, with consumers demanding faster, more context-aware, and personalized AI experiences-needs that are often better served by lightweight, fine-tuned models deployed locally. Another potent driver is the operational scalability of deploying thousands of small, task-specific models across different endpoints, as opposed to relying on a single large model via a centralized API, which may face bottlenecks and failover issues. Moreover, the rapid proliferation of multimodal applications-involving text, speech, vision, and gesture recognition-has created demand for small but versatile models that can be seamlessly embedded across diverse environments. Lastly, as the SLM tooling ecosystem matures, with better model evaluation suites, pre-trained checkpoints, synthetic dataset generators, and MLOps pipelines, the total cost of ownership (TCO) for deploying SLMs continues to drop, further accelerating market penetration across sectors such as healthcare, fintech, automotive, edtech, and industrial IoT.

SCOPE OF STUDY:

The report analyzes the Small Language Model market in terms of units by the following Segments, and Geographic Regions/Countries:

Segments:

Technology (Deep Learning-based, Machine Learning-based, Rule-based System); Deployment (Cloud, On-Premise, Hybrid); Application (Consumer Applications, Enterprise Applications, Healthcare, Finance, Retail, Legal, Others)

Geographic Regions/Countries:

World; United States; Canada; Japan; China; Europe (France; Germany; Italy; United Kingdom; and Rest of Europe); Asia-Pacific; Rest of World.

Select Competitors (Total 44 Featured) -

  • Alibaba Group
  • Amazon Web Services (AWS)
  • Anthropic
  • Aporia
  • Apple Inc.
  • Arcee AI
  • Calypso AI Corp
  • Cohere
  • Databricks
  • DeepSeek
  • EvolutionaryScale
  • Genesis Therapeutics
  • Google
  • HCLTech
  • Hugging Face
  • IBM Corporation
  • Infosys
  • Meta Platforms, Inc.
  • Microsoft
  • Mistral AI
  • Mosaic ML
  • NVIDIA Corporation
  • OpenAI
  • Primer
  • Quantifind
  • Salesforce AI
  • Scale AI
  • Tech Mahindra
  • Technology Innovation Institute (TII)
  • Yutori

AI INTEGRATIONS

We're transforming market and competitive intelligence with validated expert content and AI tools.

Instead of following the general norm of querying LLMs and Industry-specific SLMs, we built repositories of content curated from domain experts worldwide including video transcripts, blogs, search engines research, and massive amounts of enterprise, product/service, and market data.

TARIFF IMPACT FACTOR

Our new release incorporates impact of tariffs on geographical markets as we predict a shift in competitiveness of companies based on HQ country, manufacturing base, exports and imports (finished goods and OEM). This intricate and multifaceted market reality will impact competitors by increasing the Cost of Goods Sold (COGS), reducing profitability, reconfiguring supply chains, amongst other micro and macro market dynamics.

TABLE OF CONTENTS

I. METHODOLOGY

II. EXECUTIVE SUMMARY

  • 1. MARKET OVERVIEW
    • Influencer Market Insights
    • Tariff Impact on Global Supply Chain Patterns
    • Small Language Model - Global Key Competitors Percentage Market Share in 2025 (E)
    • Competitive Market Presence - Strong/Active/Niche/Trivial for Players Worldwide in 2025 (E)
  • 2. FOCUS ON SELECT PLAYERS
  • 3. MARKET TRENDS & DRIVERS
    • Rising Demand for Lightweight, Efficient AI Models Throws the Spotlight on Small Language Model Development
    • OEM Innovation in Quantization, Pruning, and Distillation Techniques Propels Model Size Optimization
    • Growth in Edge AI Applications for On-Device Inference Drives Deployment of Compact LLMs
    • OEM Emphasis on Energy-Efficient Training and Inferencing Strengthens Sustainability Credentials of AI Workloads
    • Increasing Privacy Concerns and Data Sovereignty Regulations Propel Localized Small Model Adoption
    • OEM Focus on Domain-Specific and Verticalized Small Language Models Enhances Accuracy in Specialized Use Cases
    • Surge in Open-Source LLMs Democratizes Access to Smaller, Fine-Tunable AI Architectures
    • OEM Development of Multilingual, Low-Parameter Models Expands Utility in Global and Low-Resource Language Markets
    • Expansion of Wearables, IoT, and Mobile AI Interfaces Drives Embedded Deployment Opportunities
    • OEM Integration of Small LLMs With RAG, Agentic Workflows, and Low-Latency APIs Enhances Product Useability
    • Rising Cost Sensitivity and Memory Constraints Among SMEs Accelerate Shift From Foundation Models to Compact LLMs
    • OEM Strategies for Context Window Optimization and Token Efficiency Improve Real-Time Interaction Capabilities
    • Growth in Conversational Commerce, Smart Assistants, and Customer Support Bots Propels Lightweight NLP Adoption
    • OEM Efforts to Mitigate Hallucinations, Bias, and Overfitting Improve Model Reliability in Enterprise Workflows
    • Surge in Decentralized and Federated Model Training Initiatives Supports Data-Safe Small Model Deployment
    • OEM Collaboration With Universities and Research Labs Enhances Benchmarking and Interoperability Standards
    • Rising Developer Demand for Plug-and-Play APIs and SDKs Expands Ecosystem of Low-Code/Nocode LLM Applications
    • OEM Focus on Privacy-Preserving AI Architecture Reinforces Use in Healthcare, Finance, and Legal Sectors
    • Growth in Resource-Constrained Environments Like Drones, Field Equipment, and POS Systems Spurs Real-Time LLM Use
    • Focus on Low-Latency, High-Throughput Model Design Sustains Competitive Advantage in Consumer-Grade AI Markets
  • 4. GLOBAL MARKET PERSPECTIVE
    • TABLE 1: World Small Language Model Market Analysis of Annual Sales in US$ Million for Years 2015 through 2030
    • TABLE 2: World Recent Past, Current & Future Analysis for Small Language Model by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 3: World 6-Year Perspective for Small Language Model by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets for Years 2025 & 2030
    • TABLE 4: World Recent Past, Current & Future Analysis for Deep Learning-based by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 5: World 6-Year Perspective for Deep Learning-based by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 6: World Recent Past, Current & Future Analysis for Machine Learning-based by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 7: World 6-Year Perspective for Machine Learning-based by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 8: World Recent Past, Current & Future Analysis for Rule-based System by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 9: World 6-Year Perspective for Rule-based System by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 10: World Recent Past, Current & Future Analysis for Finance by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 11: World 6-Year Perspective for Finance by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 12: World Recent Past, Current & Future Analysis for Retail by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 13: World 6-Year Perspective for Retail by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 14: World Recent Past, Current & Future Analysis for Legal by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 15: World 6-Year Perspective for Legal by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 16: World Recent Past, Current & Future Analysis for Others by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 17: World 6-Year Perspective for Others by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 18: World Recent Past, Current & Future Analysis for Consumer Applications by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 19: World 6-Year Perspective for Consumer Applications by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 20: World Recent Past, Current & Future Analysis for Enterprise Applications by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 21: World 6-Year Perspective for Enterprise Applications by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 22: World Recent Past, Current & Future Analysis for Healthcare by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 23: World 6-Year Perspective for Healthcare by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 24: World Recent Past, Current & Future Analysis for Cloud by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 25: World 6-Year Perspective for Cloud by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 26: World Recent Past, Current & Future Analysis for On-Premise by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 27: World 6-Year Perspective for On-Premise by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 28: World Recent Past, Current & Future Analysis for Hybrid by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 29: World 6-Year Perspective for Hybrid by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030

III. MARKET ANALYSIS

  • UNITED STATES
    • Small Language Model Market Presence - Strong/Active/Niche/Trivial - Key Competitors in the United States for 2025 (E)
    • TABLE 30: USA Recent Past, Current & Future Analysis for Small Language Model by Technology - Deep Learning-based, Machine Learning-based and Rule-based System - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 31: USA 6-Year Perspective for Small Language Model by Technology - Percentage Breakdown of Value Sales for Deep Learning-based, Machine Learning-based and Rule-based System for the Years 2025 & 2030
    • TABLE 32: USA Recent Past, Current & Future Analysis for Small Language Model by Application - Finance, Retail, Legal, Others, Consumer Applications, Enterprise Applications and Healthcare - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 33: USA 6-Year Perspective for Small Language Model by Application - Percentage Breakdown of Value Sales for Finance, Retail, Legal, Others, Consumer Applications, Enterprise Applications and Healthcare for the Years 2025 & 2030
    • TABLE 34: USA Recent Past, Current & Future Analysis for Small Language Model by Deployment - Cloud, On-Premise and Hybrid - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 35: USA 6-Year Perspective for Small Language Model by Deployment - Percentage Breakdown of Value Sales for Cloud, On-Premise and Hybrid for the Years 2025 & 2030
  • CANADA
    • TABLE 36: Canada Recent Past, Current & Future Analysis for Small Language Model by Technology - Deep Learning-based, Machine Learning-based and Rule-based System - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 37: Canada 6-Year Perspective for Small Language Model by Technology - Percentage Breakdown of Value Sales for Deep Learning-based, Machine Learning-based and Rule-based System for the Years 2025 & 2030
    • TABLE 38: Canada Recent Past, Current & Future Analysis for Small Language Model by Application - Finance, Retail, Legal, Others, Consumer Applications, Enterprise Applications and Healthcare - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 39: Canada 6-Year Perspective for Small Language Model by Application - Percentage Breakdown of Value Sales for Finance, Retail, Legal, Others, Consumer Applications, Enterprise Applications and Healthcare for the Years 2025 & 2030
    • TABLE 40: Canada Recent Past, Current & Future Analysis for Small Language Model by Deployment - Cloud, On-Premise and Hybrid - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 41: Canada 6-Year Perspective for Small Language Model by Deployment - Percentage Breakdown of Value Sales for Cloud, On-Premise and Hybrid for the Years 2025 & 2030
  • JAPAN
    • Small Language Model Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Japan for 2025 (E)
    • TABLE 42: Japan Recent Past, Current & Future Analysis for Small Language Model by Technology - Deep Learning-based, Machine Learning-based and Rule-based System - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 43: Japan 6-Year Perspective for Small Language Model by Technology - Percentage Breakdown of Value Sales for Deep Learning-based, Machine Learning-based and Rule-based System for the Years 2025 & 2030
    • TABLE 44: Japan Recent Past, Current & Future Analysis for Small Language Model by Application - Finance, Retail, Legal, Others, Consumer Applications, Enterprise Applications and Healthcare - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 45: Japan 6-Year Perspective for Small Language Model by Application - Percentage Breakdown of Value Sales for Finance, Retail, Legal, Others, Consumer Applications, Enterprise Applications and Healthcare for the Years 2025 & 2030
    • TABLE 46: Japan Recent Past, Current & Future Analysis for Small Language Model by Deployment - Cloud, On-Premise and Hybrid - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 47: Japan 6-Year Perspective for Small Language Model by Deployment - Percentage Breakdown of Value Sales for Cloud, On-Premise and Hybrid for the Years 2025 & 2030
  • CHINA
    • Small Language Model Market Presence - Strong/Active/Niche/Trivial - Key Competitors in China for 2025 (E)
    • TABLE 48: China Recent Past, Current & Future Analysis for Small Language Model by Technology - Deep Learning-based, Machine Learning-based and Rule-based System - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 49: China 6-Year Perspective for Small Language Model by Technology - Percentage Breakdown of Value Sales for Deep Learning-based, Machine Learning-based and Rule-based System for the Years 2025 & 2030
    • TABLE 50: China Recent Past, Current & Future Analysis for Small Language Model by Application - Finance, Retail, Legal, Others, Consumer Applications, Enterprise Applications and Healthcare - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 51: China 6-Year Perspective for Small Language Model by Application - Percentage Breakdown of Value Sales for Finance, Retail, Legal, Others, Consumer Applications, Enterprise Applications and Healthcare for the Years 2025 & 2030
    • TABLE 52: China Recent Past, Current & Future Analysis for Small Language Model by Deployment - Cloud, On-Premise and Hybrid - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 53: China 6-Year Perspective for Small Language Model by Deployment - Percentage Breakdown of Value Sales for Cloud, On-Premise and Hybrid for the Years 2025 & 2030
  • EUROPE
    • Small Language Model Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Europe for 2025 (E)
    • TABLE 54: Europe Recent Past, Current & Future Analysis for Small Language Model by Geographic Region - France, Germany, Italy, UK and Rest of Europe Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 55: Europe 6-Year Perspective for Small Language Model by Geographic Region - Percentage Breakdown of Value Sales for France, Germany, Italy, UK and Rest of Europe Markets for Years 2025 & 2030
    • TABLE 56: Europe Recent Past, Current & Future Analysis for Small Language Model by Technology - Deep Learning-based, Machine Learning-based and Rule-based System - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 57: Europe 6-Year Perspective for Small Language Model by Technology - Percentage Breakdown of Value Sales for Deep Learning-based, Machine Learning-based and Rule-based System for the Years 2025 & 2030
    • TABLE 58: Europe Recent Past, Current & Future Analysis for Small Language Model by Application - Finance, Retail, Legal, Others, Consumer Applications, Enterprise Applications and Healthcare - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 59: Europe 6-Year Perspective for Small Language Model by Application - Percentage Breakdown of Value Sales for Finance, Retail, Legal, Others, Consumer Applications, Enterprise Applications and Healthcare for the Years 2025 & 2030
    • TABLE 60: Europe Recent Past, Current & Future Analysis for Small Language Model by Deployment - Cloud, On-Premise and Hybrid - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 61: Europe 6-Year Perspective for Small Language Model by Deployment - Percentage Breakdown of Value Sales for Cloud, On-Premise and Hybrid for the Years 2025 & 2030
  • FRANCE
    • Small Language Model Market Presence - Strong/Active/Niche/Trivial - Key Competitors in France for 2025 (E)
    • TABLE 62: France Recent Past, Current & Future Analysis for Small Language Model by Technology - Deep Learning-based, Machine Learning-based and Rule-based System - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 63: France 6-Year Perspective for Small Language Model by Technology - Percentage Breakdown of Value Sales for Deep Learning-based, Machine Learning-based and Rule-based System for the Years 2025 & 2030
    • TABLE 64: France Recent Past, Current & Future Analysis for Small Language Model by Application - Finance, Retail, Legal, Others, Consumer Applications, Enterprise Applications and Healthcare - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 65: France 6-Year Perspective for Small Language Model by Application - Percentage Breakdown of Value Sales for Finance, Retail, Legal, Others, Consumer Applications, Enterprise Applications and Healthcare for the Years 2025 & 2030
    • TABLE 66: France Recent Past, Current & Future Analysis for Small Language Model by Deployment - Cloud, On-Premise and Hybrid - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 67: France 6-Year Perspective for Small Language Model by Deployment - Percentage Breakdown of Value Sales for Cloud, On-Premise and Hybrid for the Years 2025 & 2030
  • GERMANY
    • Small Language Model Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Germany for 2025 (E)
    • TABLE 68: Germany Recent Past, Current & Future Analysis for Small Language Model by Technology - Deep Learning-based, Machine Learning-based and Rule-based System - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 69: Germany 6-Year Perspective for Small Language Model by Technology - Percentage Breakdown of Value Sales for Deep Learning-based, Machine Learning-based and Rule-based System for the Years 2025 & 2030
    • TABLE 70: Germany Recent Past, Current & Future Analysis for Small Language Model by Application - Finance, Retail, Legal, Others, Consumer Applications, Enterprise Applications and Healthcare - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 71: Germany 6-Year Perspective for Small Language Model by Application - Percentage Breakdown of Value Sales for Finance, Retail, Legal, Others, Consumer Applications, Enterprise Applications and Healthcare for the Years 2025 & 2030
    • TABLE 72: Germany Recent Past, Current & Future Analysis for Small Language Model by Deployment - Cloud, On-Premise and Hybrid - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 73: Germany 6-Year Perspective for Small Language Model by Deployment - Percentage Breakdown of Value Sales for Cloud, On-Premise and Hybrid for the Years 2025 & 2030
  • ITALY
    • TABLE 74: Italy Recent Past, Current & Future Analysis for Small Language Model by Technology - Deep Learning-based, Machine Learning-based and Rule-based System - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 75: Italy 6-Year Perspective for Small Language Model by Technology - Percentage Breakdown of Value Sales for Deep Learning-based, Machine Learning-based and Rule-based System for the Years 2025 & 2030
    • TABLE 76: Italy Recent Past, Current & Future Analysis for Small Language Model by Application - Finance, Retail, Legal, Others, Consumer Applications, Enterprise Applications and Healthcare - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 77: Italy 6-Year Perspective for Small Language Model by Application - Percentage Breakdown of Value Sales for Finance, Retail, Legal, Others, Consumer Applications, Enterprise Applications and Healthcare for the Years 2025 & 2030
    • TABLE 78: Italy Recent Past, Current & Future Analysis for Small Language Model by Deployment - Cloud, On-Premise and Hybrid - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 79: Italy 6-Year Perspective for Small Language Model by Deployment - Percentage Breakdown of Value Sales for Cloud, On-Premise and Hybrid for the Years 2025 & 2030
  • UNITED KINGDOM
    • Small Language Model Market Presence - Strong/Active/Niche/Trivial - Key Competitors in the United Kingdom for 2025 (E)
    • TABLE 80: UK Recent Past, Current & Future Analysis for Small Language Model by Technology - Deep Learning-based, Machine Learning-based and Rule-based System - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 81: UK 6-Year Perspective for Small Language Model by Technology - Percentage Breakdown of Value Sales for Deep Learning-based, Machine Learning-based and Rule-based System for the Years 2025 & 2030
    • TABLE 82: UK Recent Past, Current & Future Analysis for Small Language Model by Application - Finance, Retail, Legal, Others, Consumer Applications, Enterprise Applications and Healthcare - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 83: UK 6-Year Perspective for Small Language Model by Application - Percentage Breakdown of Value Sales for Finance, Retail, Legal, Others, Consumer Applications, Enterprise Applications and Healthcare for the Years 2025 & 2030
    • TABLE 84: UK Recent Past, Current & Future Analysis for Small Language Model by Deployment - Cloud, On-Premise and Hybrid - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 85: UK 6-Year Perspective for Small Language Model by Deployment - Percentage Breakdown of Value Sales for Cloud, On-Premise and Hybrid for the Years 2025 & 2030
  • REST OF EUROPE
    • TABLE 86: Rest of Europe Recent Past, Current & Future Analysis for Small Language Model by Technology - Deep Learning-based, Machine Learning-based and Rule-based System - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 87: Rest of Europe 6-Year Perspective for Small Language Model by Technology - Percentage Breakdown of Value Sales for Deep Learning-based, Machine Learning-based and Rule-based System for the Years 2025 & 2030
    • TABLE 88: Rest of Europe Recent Past, Current & Future Analysis for Small Language Model by Application - Finance, Retail, Legal, Others, Consumer Applications, Enterprise Applications and Healthcare - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 89: Rest of Europe 6-Year Perspective for Small Language Model by Application - Percentage Breakdown of Value Sales for Finance, Retail, Legal, Others, Consumer Applications, Enterprise Applications and Healthcare for the Years 2025 & 2030
    • TABLE 90: Rest of Europe Recent Past, Current & Future Analysis for Small Language Model by Deployment - Cloud, On-Premise and Hybrid - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 91: Rest of Europe 6-Year Perspective for Small Language Model by Deployment - Percentage Breakdown of Value Sales for Cloud, On-Premise and Hybrid for the Years 2025 & 2030
  • ASIA-PACIFIC
    • Small Language Model Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Asia-Pacific for 2025 (E)
    • TABLE 92: Asia-Pacific Recent Past, Current & Future Analysis for Small Language Model by Technology - Deep Learning-based, Machine Learning-based and Rule-based System - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 93: Asia-Pacific 6-Year Perspective for Small Language Model by Technology - Percentage Breakdown of Value Sales for Deep Learning-based, Machine Learning-based and Rule-based System for the Years 2025 & 2030
    • TABLE 94: Asia-Pacific Recent Past, Current & Future Analysis for Small Language Model by Application - Finance, Retail, Legal, Others, Consumer Applications, Enterprise Applications and Healthcare - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 95: Asia-Pacific 6-Year Perspective for Small Language Model by Application - Percentage Breakdown of Value Sales for Finance, Retail, Legal, Others, Consumer Applications, Enterprise Applications and Healthcare for the Years 2025 & 2030
    • TABLE 96: Asia-Pacific Recent Past, Current & Future Analysis for Small Language Model by Deployment - Cloud, On-Premise and Hybrid - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 97: Asia-Pacific 6-Year Perspective for Small Language Model by Deployment - Percentage Breakdown of Value Sales for Cloud, On-Premise and Hybrid for the Years 2025 & 2030
  • REST OF WORLD
    • TABLE 98: Rest of World Recent Past, Current & Future Analysis for Small Language Model by Technology - Deep Learning-based, Machine Learning-based and Rule-based System - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 99: Rest of World 6-Year Perspective for Small Language Model by Technology - Percentage Breakdown of Value Sales for Deep Learning-based, Machine Learning-based and Rule-based System for the Years 2025 & 2030
    • TABLE 100: Rest of World Recent Past, Current & Future Analysis for Small Language Model by Application - Finance, Retail, Legal, Others, Consumer Applications, Enterprise Applications and Healthcare - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 101: Rest of World 6-Year Perspective for Small Language Model by Application - Percentage Breakdown of Value Sales for Finance, Retail, Legal, Others, Consumer Applications, Enterprise Applications and Healthcare for the Years 2025 & 2030
    • TABLE 102: Rest of World Recent Past, Current & Future Analysis for Small Language Model by Deployment - Cloud, On-Premise and Hybrid - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 103: Rest of World 6-Year Perspective for Small Language Model by Deployment - Percentage Breakdown of Value Sales for Cloud, On-Premise and Hybrid for the Years 2025 & 2030

IV. COMPETITION