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Publication: Aug 2024
Report Type: Industry Tracker
Report Format: PDF DataSheet
Report ID: GAC4319 
  Pages: 160+  

Asia Pacific Generative AI Chips Market Size and Forecast by Type, Node Type, End User Application, Distribution Channel, and Region: Statistics | 2019-2032

Report Format: PDF DataSheet |   Pages: 160+  

 Aug 2024  | 

Asia Pacific Generative AI Chips Market Growth and Performance

  • In 2023, the Asia Pacific generative AI chips market size reached US$ 5.35 Billion, growing by 41.2% compared to previous year.
  • The generative AI chips market in Asia Pacific is projected to expand at a CAGR of 29.0% throughout the forecast period to reach US$ 53.39 Billion in 2032.
  • Contribution by the generative ai GPUs sub-segment to overall type segment revenue is expected to surge to US$ 27.70 Billion by 2032.
  • With 30.7% market share, the consumer electronics sector was the largest end-user vertical for prominent generative AI chips players in 2023.

Asia Pacific 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

 

  

Asia Pacific Generative Ai Chips Industry: Country Coverage

 

Countries

Asia Pacific

Japa

Australi

Chin

South Kore

Indi

Malaysi

Hong Kon

Indonesi

New Zealan

Singapor

Thailan

Vietna

Philippine

Taiwa

Rest of Asia Pacifi
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*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]