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Publication: Sep 2024
Report Type: Niche Report
Report Format: PDF DataSheet
Report ID: GAC43285 
  Pages: 110+  

South Korea Generative AI TPUs Chip Market Size and Forecast by Architecture Type, Node Type, End User Application, Distribution Channel, and Memory Integration: 2019-2032

Report Format: PDF DataSheet |   Pages: 110+  

 Sep 2024  | 

South Korea Generative AI TPUs Chip Market Growth and Performance

  • It's evident that the South Korea generative AI TPUs chip market is on track to reach an impressive US$ 573.4 Million in revenue by 2032.
  • This growth trajectory is underpinned by an expected Compound Annual Growth Rate (CAGR) of 18.3% from 2024 to 2032, as forecasted by DataCube Research.
  • When analysing the dynamics within South Korean generative AI TPUs chip market landscape, it becomes apparent that the matrix multiplication accelerators segment carries significant potential. Projections suggest that by 2032, this segment will assert its dominance, boasting a market value of US$ 243.8 Million.
  • Looking ahead, industry experts are optimistic about the future of the healthcare sector. Throughout the forecast period, this sector is anticipated to undergo the most rapid expansion in terms of revenue generation, with a 22.6% CAGR.

South Korea Generative AI TPUs Chip Market Scope

Analysis Period

2019-2032

Actual Data

2019-2023

Base Year

2024

Estimated Year

2024

CAGR Period

2024-2032
 

Research Scope

Architecture Type

Matrix Multiplication Accelerator

Systolic Array

Neural Network Processing Units (NPUs

Hybrid Architecture

Node Type

Advanced Nod

Mid-range Nod

Legacy Nod

End User Application

Consumer Electronic

Automotiv

Industria

Telecommunication

Healthcare

Aerospace & Defens

Energ

Data Processin

Distribution Channel

Direct Sale

Distributors and Reseller

Online Marketplace

Memory Integration

High-Bandwidth Memory (HBM

GDDR Memor

On-Chip Memor


*Research Methodology: This report is based on DataCube’s proprietary 3-stage forecasting model, combining primary research, secondary data triangulation, and expert validation. [Learn more]