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封面
市场调查报告书
商品编码
1798804

边缘 AI 软体市场更新：现有硬体供应商如何提升用户参与度？

Edge AI Software Market Update: How Can Incumbent Hardware Vendors Drive Engagement?
出版日期: | 出版商: ABI Research | 英文 11 Pages | 商品交期: 最快1-2个工作天内

价格
简介目录

本报告研究了边缘 AI 软体市场，并总结了现有 AI 硬体供应商的软体能力、边缘和云端的软体支出预测，以及边缘 AI 软体获利的机会和课题。

实际优势

  • 评估透过软体投资提升用户参与度的新机会。
  • 将您的边缘 AI 软体与竞争对手进行比较和基准测试。
  • 评估支持边缘产生 AI 的机会。
  • 了解市场对边缘生成 AI 的讨论。
  • 根据您的软体需求调整您的投资。

关键问题解答：

  • 软体堆迭的哪些关键层需要投资？
  • 企业是否正在采用边缘产生 AI？

调查重点：

  • 现有 AI 硬体供应商的软体能力：概述
  • 边缘/云端软体支出预测
  • 开发者群体（低、中、高能力）预期及市场进入分析

目录

第1章 主要调查结果

第2章 主要预测

第3章 主要企业

  • INTEL
  • QUALCOMM
  • NVIDIA
  • AMD

第四章：边缘 AI 晶片供应商应如何考虑获利模式、客户类型和市场准入？

  • 边缘 AI 软体获利的机会与课题
  • 了解客户建构软体解决方案的需求

第五章：边缘生成式 AI 的需求是否正在成长？

简介目录
Product Code: AN-6486

Actionable Benefits:

  • Assess new opportunities to drive engagement through software investment.
  • Benchmark edge Artificial Intelligence (AI) software against competitors.
  • Evaluate opportunities to support Generative Artificial Intelligence (Gen AI) at the edge.
  • Gain understanding about the debate in the edge Gen AI market.
  • Align investment with customer software demands.

Critical Questions Answered:

  • Which are the critical layers in the software stack that need investment?
  • Are companies deploying Gen AI at the edge?

Research Highlights:

  • Overview of incumbent AI hardware software capabilities.
  • Forecast of software spending by edge/cloud.
  • Expectation and Go-to-Market (GTM) analysis for various developer groups (low, medium, high competency).

Who Should Read This?

  • Product strategists and leaders across the edge AI hardware ecosystem looking to develop their position in the market.
  • Independent Software Vendors (ISVs) building out their software capabilities and expanding their position in the market through partnerships.
  • Original Equipment Manufacturers (OEMs) looking to benchmark current and prospective partner software strategies.

TABLE OF CONTENTS

1 KEY FINDINGS

2 KEY FORECASTS

3 KEY COMPANIES

  • 3.1 INTEL
  • 3.2 QUALCOMM
  • 3.3 NVIDIA
  • 3.4 AMD

4 HOW SHOULD EDGE AI CHIP VENDORS LOOK AT MONETIZATION CUSTOMER TYPES AND GO-TO-MARKET?

  • 4.1 OPPORTUNITIES AND CHALLENGES FOR EDGE AI SOFTWARE MONETIZATION
  • 4.2 UNDERSTANDING CUSTOMER REQUIREMENTS TO BUILD SOFTWARE SOLUTIONS

5 IS DEMAND FOR GEN AI AT THE EDGE GROWING