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This IDC study provides an updated overview of the artificial intelligence (AI) processor and accelerator market across the internet landscape, including a description of IDC's segmentation by deployment location, AI type, industry, processor, and accelerator definitions. It provides a taxonomy for types of AI and AI workloads and functions."IDC's worldwide AI processor and accelerator taxonomy defines the types of processors and accelerators used for AI computation from the datacenter to the edge," said Nina Turner, research director, AI Edge Processor Architectures at IDC. "This document serves as a guide to better understand AI and the semiconductors used for AI covered by IDC."
IDC's Worldwide AI Processor and Accelerator Taxonomy
AI Processor and Accelerator Taxonomy Changes for 2025
Definitions
- Deployment Location
- Edge Endpoints
- Primary Clients
- AI Personal Computer
- AI Smartphone
- Edge Infrastructure
- Heavy Edge Infrastructure
- Light Edge Infrastructure
- Communications Infrastructure
- Datacenter
- Types of AI
- Machine Learning
- Deep Learning
- Generative AI
- Agentic AI
- TinyAI
- AI Workloads and Functions
- Training
- Inferencing
- Training and Inferencing
- Speech/Natural Language Processing
- Computer Vision
- Knowledge Capture
- Non-IT Industry Segment
- Automotive
- Consumer
- Energy
- Healthcare
- Industrial
- Retail
- Smart City
- Transportation
- AI Compute
- Near Memory Compute
- In-Memory Compute
- Neuromorphic Compute
- Host Processors
- Microprocessor Unit
- Microcontroller Unit
- Application-Specific Standard Product
- Application-Specific Integrated Circuit
- Field-Programmable Gate Array
- Chip Structure
- Discrete Accelerator
- Integrated Accelerator
- Accelerators
- Application-Specific Standard Product
- Application-Specific Integrated Circuit
- Digital Signal Processor
- Data Processing Unit
- Field-Programmable Gate Array (as an Accelerator)
- Graphics Processing Unit
- Neural Processing Unit
Learn More
- Related Research
- Synopsis