Edge AI Chipsets: Technology Outlook and Use Cases

1. EXECUTIVE SUMMARY

2. DEFINITION OF ARTIFICIAL INTELLIGENCE

3. THE NEED FOR EDGE AI CHIPSETS

3.1. AI Migration to the Edge

3.2. Diversity and Complexity of Edge Use Cases

3.3. List of Key AI Use Cases

4. DEFINITIONS OF EDGE AI CHIPSETS

5. KEY EDGE AI CHIPSET VENDORS

5.1. IP Core Licensing Vendors

5.2. Semiconductor Vendors

5.3. Captive Vendors

6. OPEN-SOURCE EDGE AI CHIPSETS

6.1. Best Practice for Open-Source Chipsets

7. THE EMERGENCE OF THE “VERY EDGE”

8. MARKET FORECASTS

8.1. Market Size

8.2. Location of AI Inference and Training Workloads

8.3. Revenue Forecasts

9. KEY RECOMMENDATIONS AND CONCLUSIONS