세계의 AI 및 머신러닝: TinyML 시장 데이터 개요(2024년 3분기)

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