人工智慧與機器學習：邊緣人工智慧市場資料概述（2024年第2季）

本報告研究了人工智慧（AI）和機器學習市場，包括邊緣設備、網關和本地伺服器中人工智慧採用的趨勢、邊緣市場中人工智慧晶片組出貨量和收入的預測，按地區、架構、產業、工作負載和用例的詳細分析。

實際好處：

• 了解人工智慧在邊緣設備、閘道器和本地伺服器的普及程度
• 了解主要產業和地區的邊緣人工智慧晶片組出貨量和收入成長
• 可以根據邊緣 AI 晶片組架構的相對成長來評估策略
• 讓內部和外部利害關係人了解人工智慧對晶片組出貨量和收入的影響

關鍵問題的答案：

• 到2030年，人工智慧硬體將如何應用於邊緣設備、網關和伺服器？
• 依設備類型和產業劃分，AI晶片組市場將如何發展？
• Edge AI 將針對哪些 AI 工作負載？
• 這種成長因地區和晶片組架構的不同而有何不同？
• 到2030年，哪種晶片組架構將主導邊緣人工智慧？

研究亮點：

• 預測邊緣市場的人工智慧晶片組出貨量和收入：2023-2030年
• 依地區、架構、產業、工作負載和用例詳細分類

目錄

主要發現

新資訊

調查方法

重要預測

Actionable Benefits:

• Identify penetration of Artificial Intelligence (AI) on edge devices, gateways, and on-premise servers.
• Understand how edge AI chipset shipment and revenue will grow by key verticals and regions.
• Evaluate strategy based on relative growth of edge AI chipset architectures.
• Educate internal and external stakeholders about the impact of AI on chipset shipments and revenue.

Critical Questions Answered:

• How will AI hardware be adopted in edge devices, gateways, and servers until 2030?
• How will the AI chipset market for each device type and vertical develop going forward?
• Which AI workloads will edge AI target?
• How does this growth differ by region and chipset architecture?
• Which chipset architecture will dominate edge AI by 2030?

Research Highlights:

• Forecasts for AI chipset shipments and revenue in the edge market from 2023 to 2030.
• Detailed breakdowns by region, architecture, vertical, workload, and use case.

Who Should Read This?

• Sales and marketing leaders in diverse markets affected by AI.
• Investors gauging the potential for growth in the markets covered.
• Strategists across entire AI stack developing edge AI product and strategy.
• Chipset vendors seeking greater insight into their market sizes and new growth areas.

TABLE OF CONTENTS

Key Findings

What's New

Methodology

Significant Forecast