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Publication: Aug 2024
Report Type: Sub-Tracker
Report Format: PDF DataSheet
Report ID: GAC43110 
  Pages: 160+  

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

Report Format: PDF DataSheet |   Pages: 160+  

 Aug 2024  | 

Asia Pacific Generative AI ASIC Chip Market Growth and Performance

Key Takeaways:

  • In 2023, the Asia Pacific generative AI ASIC chip market size reached US$ 984.8 Million, growing by 30.6% compared to previous year.
  • The generative AI ASIC chip market in Asia Pacific is projected to expand at a CAGR of 24.4% throughout the forecast period to reach US$ 7.07 Billion in 2032.
  • Contribution by the traditional ASIC sub-segment to overall type segment revenue is expected to surge to US$ 4.53 Billion by 2032.
  • With 26.3% market share, the consumer electronics sector was the largest end-user vertical for prominent generative AI ASIC chip players in 2023.

Asia Pacific Generative AI ASIC Chip Market Scope

Analysis Period

2019-2032

 

  

Actual Data

2019-2023

 

  

Base Year

2023

 

  

Estimated Year

2024

 

  

CAGR Period

2024-2032

 

  
 

Research Scope

 

  

Type

Traditional ASICs

 

  

Field-Programmable Gate Arrays (FPGAs)

 

  

System-on-Chip (SoC)

 

  

Node Type

Advanced Node

 

  

Mid-range Node

 

  

Legacy Node

 

  

End User Application

Consumer Electronics

 

  

Automotive

 

  

Industrial

 

  

Telecommunications

 

  

Healthcare

 

  

Aerospace & Defense

 

  

Energy

 

  

Data Processing

 

  

Distribution Channel

Direct Sales

 

  

Distributors and Resellers

 

  

Online Marketplaces

 

  

Asia Pacific Generative AI ASIC Chip 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]