邊緣的分佈式智能:亞太地區塑造邊緣 AI 的機遇與挑戰
市場調查報告書
商品編碼
1276980

邊緣的分佈式智能:亞太地區塑造邊緣 AI 的機遇與挑戰

Distributed Intelligence on the Edge: Opportunities and Challenges Shaping Edge AI in APAC

出版日期: | 出版商: ABI Research | 英文 37 slides | 商品交期: 最快1-2個工作天內

價格
簡介目錄

這份報告考察了亞太邊緣人工智能市場,揭示了亞太邊緣人工智能生態系統、邊緣人工智能採用驅動因素、解決方案提供商和最終用戶公司的採用優勢、機遇和挑戰。介紹示例、各種建議、 ETC。

報告的好處

  • 更深入地了解 AI 工作負載在傳統和邊緣環境中的處理方式
  • 全面了解亞太邊緣 AI 生態系統,包括雲超大規模提供商、硬件基礎設施提供商、軟件供應商和專業服務
  • 確定亞太地區可以從引入邊緣 AI 中受益的關鍵行業和實際用例

關鍵問題的答案

  • 推動邊緣人工智能發展的主要因素有哪些?
  • 亞太地區的公司如何採用 Edge AI?有哪些好處?
  • 在部署 Edge AI 之前,公司應該應對哪些挑戰?
  • 邊緣 AI 的未來是什麼樣的,它將如何影響您的業務?

調查要點

  • 希望採用邊緣 AI 的亞太地區企業需要注意的主要優勢和陷阱
  • 邊緣 AI 市場的商業機會以及技術解決方案提供商如何利用特定地區的機會
  • 來自亞太地區技術提供商的零售、製造、醫療保健、運輸和採礦等行業的邊緣 AI 解決方案示例

內容

  • 概覽
  • 亞太市場趨勢
  • 邊緣人工智能生態系統
  • 解決方案提供商的機遇和挑戰
  • 終端用戶公司的機遇和挑戰
  • 邊緣 AI 的未來狀態
  • 推薦
  • 概覽
  • 相關研究
簡介目錄
Product Code: PT-2681

Actionable Benefits:

  • Gain a better understanding of how Artificial Intelligent (AI) workloads are processed traditionally and on the edge.
  • Have a holistic view of the Asia-Pacific (APAC) edge AI ecosystem, including cloud hyperscalers, hardware infrastructure providers, software vendors, and professional services.
  • Identify key verticals and real-life use cases in the APAC region that can benefit from deploying edge AI.

Critical Questions Answered:

  • What are the main drivers of growth for edge AI?
  • How are APAC businesses deploying edge AI and what are some of the benefits?
  • What challenges do businesses need to address before going on an edge AI journey?
  • What will edge AI's future look like and how will it affect my business?

Research Highlights:

  • Key benefits for businesses in the APAC region looking to deploy edge AI, as well as pitfalls to look out for.
  • Opportunities in the edge AI market and how can technology solution providers take advantage of opportunities that are specific to the APAC region.
  • Examples of edge AI solutions from APAC technology providers across industries, including retail, manufacturing, healthcare, transportation, and mining.

Who Should Read This?

  • Technology solution providers that are looking to build use cases that resonate with APAC businesses and looking to collaborate with the wider edge ecosystem.
  • APAC Chief Information Officers (CIOs) and Chief Technology Officers (CTOs) in retail, manufacturing, etc. industries that are looking to embark on a strategic edge AI journey.

Table of Contents

  • Overview
  • APAC Market Trends
  • Edge AI Ecosystem
  • Opportunities and Challenges for Solution Providers
  • Opportunities and Challenges for End-User Businesses
  • Future State of Edge AI
  • Recommendations
  • Conclusions
  • Related Research