人工智慧与机器学习：TinyML 市场数据概览（2025 年第三季）

本报告分析了 TinyML 领域人工智慧晶片组的市场，并提供了人工智慧晶片组出货量和收入的预测，以及按地区、产业、架构和应用场景划分的区隔数据。

实际优势：

• 确定到 2031 年 TinyML/嵌入式设备中人工智慧晶片组的市场规模（出货量和收入）。
• 了解 TinyML 晶片组出货量和收入按关键架构（例如神经处理单元 (NPU)）和地区划分的增长情况。
• 基于关键应用情境、产业、设备类型和架构的比较成长情况，评估相关策略。

回答关键问题：

• 到 2031 年，嵌入式装置中 AI 晶片组的应用将达到什么程度？
• AI 晶片组市场将如何依地区发展？
• 这些晶片组的目标 AI 应用场景有哪些？
• 到 2031 年，哪种晶片组架构将引领 TinyML 市场？

研究亮点：

• 2024年至2031年TinyML市场AI晶片组出货量与收入预测
• 按地区、产业、架构和用例划分的详细分析

目录

本产品应与 "人工智慧与机器学习TinyML" （MD-AIMLT-103）搭配使用。

主要发现

最新发布

研究方法

主要预测

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