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封面
市場調查報告書
商品編碼
1798804

邊緣 AI 軟體市場更新：現有硬體供應商如何提升用戶參與度？

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個工作天內

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簡介目錄

本報告研究了邊緣 AI 軟體市場，並總結了現有 AI 硬體供應商的軟體能力、邊緣和雲端的軟體支出預測，以及邊緣 AI 軟體獲利的機會和課題。

實際優勢

  • 評估透過軟體投資提升用戶參與度的新機會。
  • 將您的邊緣 AI 軟體與競爭對手進行比較和基準測試。
  • 評估支持邊緣產生 AI 的機會。
  • 了解市場對邊緣生成 AI 的討論。
  • 根據您的軟體需求調整您的投資。

關鍵問題解答：

  • 軟體堆疊的哪些關鍵層需要投資？
  • 企業是否正在採用邊緣產生 AI？

調查重點：

  • 現有 AI 硬體供應商的軟體能力：概述
  • 邊緣/雲端軟體支出預測
  • 開發者群體（低、中、高能力）預期及市場進入分析

目錄

第1章 主要調查結果

第2章 主要預測

第3章 主要企業

  • INTEL
  • QUALCOMM
  • NVIDIA
  • AMD

第四章：邊緣 AI 晶片供應商應如何考慮獲利模式、客戶類型和市場准入？

  • 邊緣 AI 軟體獲利的機會與課題
  • 了解客戶建構軟體解決方案的需求

第五章：邊緣生成式 AI 的需求是否正在成長？

簡介目錄
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