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Publication: Aug 2024
Report Type: Tracker
Report Format: PDF DataSheet
Report ID: GAC4379 
  Pages: 110+  

South Korea Generative AI Chips Market Size and Forecast by Type, Node Type, End User Application, and Distribution Channel: 2019-2032

Report Format: PDF DataSheet |   Pages: 110+  

 Aug 2024  | 

South Korea Generative AI Chips Market Growth and Performance

  • It's evident that the South Korea generative AI chips market is on track to reach an impressive US$ 3.29 Billion in revenue by 2032.
  • This growth trajectory is underpinned by an expected Compound Annual Growth Rate (CAGR) of 20.8% from 2024 to 2032, as forecasted by DataCube Research.
  • When analysing the dynamics within South Korean generative AI chips market landscape, it becomes apparent that the generative AI GPUs segment carries significant potential. Projections suggest that by 2032, this segment will assert its dominance, boasting a market value of US$ 1.61 Billion.
  • 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 24.4% CAGR.

South Korea Generative AI Chips Market Scope

Analysis Period

2019-2032

 

  

Actual Data

2019-2023

 

  

Base Year

2024

 

  

Estimated Year

2024

 

  

CAGR Period

2024-2032

 

  
 

Research Scope

 

  

Type

Generative AI GPU

 

  

Generative AI TPU

 

  

Generative AI ASIC

 

  

Generative AI FPGA

 

  

Generative AI Neuromorphic Chip

 

  

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

 

  


*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]