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市場調查報告書
商品編碼
1515833

人工智能與機器學習:邊緣AI

Artificial Intelligence and Machine Learning: Edge AI
出版日期: | 出版商: ABI Research | 英文 10 Pages | 商品交期: 最快1-2個工作天內

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簡介目錄

本報告提供人工智慧和機器學習的市場調查，彙整邊緣AI晶片組的出貨數及收益的預測，地區·架構·產業·工作負載·使用案例的詳細的明細等資訊。

實用的優點:

  • 了解人工智慧 (AI) 在邊緣設備、網關和本地伺服器中的普及程度
  • 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
  • 您可以根據邊緣 AI 晶片組架構的相對增長來評估您的策略
  • 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 2023 年至 2030 年邊緣市場的人工智慧晶片組出貨量和收入
  • 依地區、架構、產業、工作負載和用例詳細分類
簡介目錄
Product Code: MD-AIMLOD-101

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.