人工智慧與機器學習：TinyML 市場數據概覽（2025 年第三季）

本報告分析了 TinyML 領域人工智慧晶片組的市場，並提供了人工智慧晶片組出貨量和收入的預測，以及按地區、產業、架構和應用場景劃分的區隔數據。

實際優勢：

• 確定到 2031 年 TinyML/嵌入式設備中人工智慧晶片組的市場規模（出貨量和收入）。
• 了解 TinyML 晶片組出貨量和收入按關鍵架構（例如神經處理單元 (NPU)）和地區劃分的增長情況。
• 基於關鍵應用情境、產業、設備類型和架構的比較成長情況，評估相關策略。

回答關鍵問題：

• 到 2031 年，嵌入式裝置中 AI 晶片組的應用將達到什麼程度？
• AI 晶片組市場將如何依地區發展？
• 這些晶片組的目標 AI 應用場景有哪些？
• 到 2031 年，哪種晶片組架構將引領 TinyML 市場？

研究亮點：

• 2024年至2031年TinyML市場AI晶片組出貨量與收入預測
• 按地區、產業、架構和用例劃分的詳細分析

目錄

本產品應與 "人工智慧與機器學習TinyML" （MD-AIMLT-103）搭配使用。

主要發現

最新發布

研究方法

主要預測

Actionable Benefits:

• Identify the market size (shipments and revenue) of Artificial Intelligence (AI) chipsets in Tiny Machine Learning (TinyML)/embedded devices through 2031.
• Understand how TinyML chipset shipments and revenue will grow by key regions and architectures, e.g., Neural Processing Units (NPUs).
• Evaluate strategy based on relative growth of key use cases, verticals and device types, and architectures.

Critical Questions Answered:

• How significant will AI chipsets adoption be in embedded devices until 2031?
• How will the AI chipset market for each region develop going forward?
• Which AI use cases will these chipsets target?
• Which chipset architecture will dominate TinyML by 2031?

Research Highlights:

• Forecasts for AI chipset shipments and revenue in the TinyML market from 2024 to 2031.
• Detailed breakdowns by region, vertical, architecture, and use case.

Who Should Read This?

• Chipset vendors seeking greater insight into their market sizes and new growth areas.
• Sales and marketing leaders in diverse markets impacted by AI.
• Investors gauging the potential for growth in TinyML.
• Strategists across the entire AI stack developing embedded products and marketing.

TABLE OF CONTENTS

This product is meant to be read in conjunction with Artificial Intelligence and Machine Learning TinyML MD-AIMLT-103

Key Findings

Whats New

Methodology

Significant Forecasts