AI和机器学习:TinyML

本报告提供AI和机器学习的市场调查，彙整TinyML的AI晶片组的出货数·收益的预测，地区·产业·架构·主要案例等各种区分的详细分析，主要的洞察等资讯。

实用的优点:

• 您可以了解 2030 年之前嵌入式设备中 TinyML（微型机器学习）/AI 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将如何以关键区域和架构（例如 NPU）成长
• 根据关键用例、产业、设备类型和架构的相对成长来评估策略

重要问题的答案：

• 到 2030 年，人工智慧晶片组在嵌入式设备的采用有多重要？
• 未来各地区AI晶片市场将如何发展？
• 这些晶片组针对哪些人工智慧用例？
• 到 2030 年，哪种晶片组架构将主导 TinyML？

研究亮点：

• TinyML 市场人工智慧晶片组出货量与收入预测：2023-2030 年
• 按地区、产业、架构和用例详细分类

目录

主要发现

关键洞察建议

新资讯

调查方法

重要预测

Actionable Benefits:

• Identify the market size (shipments and revenue) of Artificial Intelligence (AI) chipsets in Tiny Machine Learning (TinyML)/embedded devices for the rest of the decade.
• 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 through 2030?
• 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 2030?

Research Highlights:

• Forecasts for AI chipset shipments and revenue in the TinyML market from 2023 to 2030.
• 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

Key Findings

Key Insights Recommendations

Whats New

Methodology

Significant Forecasts