边缘的分布式智能:亚太地区塑造边缘 AI 的机遇与挑战
市场调查报告书
商品编码
1276980

边缘的分布式智能:亚太地区塑造边缘 AI 的机遇与挑战

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个工作天内

价格
简介目录

这份报告考察了亚太边缘人工智能市场,揭示了亚太边缘人工智能生态系统、边缘人工智能采用驱动因素、解决方案提供商和最终用户公司的采用优势、机遇和挑战。介绍示例、各种建议、 ETC。

报告的好处

  • 更深入地了解 AI 工作负载在传统和边缘环境中的处理方式
  • 全面了解亚太边缘 AI 生态系统,包括云超大规模提供商、硬件基础设施提供商、软件供应商和专业服务
  • 确定亚太地区可以从引入边缘 AI 中受益的关键行业和实际用例

关键问题的答案

  • 推动边缘人工智能发展的主要因素有哪些?
  • 亚太地区的公司如何采用 Edge AI?有哪些好处?
  • 在部署 Edge AI 之前,公司应该应对哪些挑战?
  • 边缘 AI 的未来是什么样的,它将如何影响您的业务?

调查要点

  • 希望采用边缘 AI 的亚太地区企业需要注意的主要优势和陷阱
  • 边缘 AI 市场的商业机会以及技术解决方案提供商如何利用特定地区的机会
  • 来自亚太地区技术提供商的零售、製造、医疗保健、运输和采矿等行业的边缘 AI 解决方案示例

内容

  • 概览
  • 亚太市场趋势
  • 边缘人工智能生态系统
  • 解决方案提供商的机遇和挑战
  • 终端用户公司的机遇和挑战
  • 边缘 AI 的未来状态
  • 推荐
  • 概览
  • 相关研究
简介目录
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