The emergence of artificial intelligence applications in connected endpoints will drive demand for semiconductors capable of processing AI algorithms. Technology product management leaders at application processor vendors must embed AI capability in their semiconductor devices.
- Migration of AI Apps From Cloud to Edge Will Drive the Need for AI Inference IP Blocks in APs Used in Edge Devices
- Market Structure Trend
- Cooperation With IP Suppliers, Algorithm Providers, Developer Communities and AI Service Vendors Will Be Important to Enable the Edge AI Capabilities
- Traditional Chip Vendors Will Face Competition From AI Algorithm and Service Providers Developing Their Own Chips
- Buyer Trend
- AI Service Providers Will Request General Hardware Platforms to Ease the Application Development
- Scalable AI Acceleration Capabilities for Evolving AI Applications
- Technology Trend
- Ecosystem Drivers Will Promote the Specific IP Supporting Their AI Frameworks and Platforms
- AI-Embedded Processors Will Use the Advanced Process Node for Faster Processing Speed
- Absence of a "Killer" App for Edge AI Processors Will Limit Adoption of AI-Based Chips
Vendors to Watch
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