엣지 AI 소프트웨어 시장의 최신 정보 : 기존 하드웨어 벤더는 어떻게 관여를 촉진할 수 있는가?

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