Publication: Aug 2024
Report Type: Tracker
Report Format: PDF DataSheet
Report ID: GAC4380 
  Pages: 110+
 

India 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  | 

India Generative AI Chips Market Growth and Performance


  • 2023 saw the India generative AI chips market size rose to US$ 487.7 Million, marking a 41.4% YoY growth.
  • DataCube Research foresees, the generative AI chips market in India is set to make significant strides on the global stage, with projected revenue reaching US$ 9.05 Billion by 2032. Moreover, our analysis indicates a promising trajectory, an anticipated CAGR of 37.7% from 2024 to 2032.
  • Within the Indian generative AI chips market, our research highlights the dominance of the generative AI TPUs segment, which claimed the largest market share of 29.6% in 2023. This underscores the segment's robust position and potential for continued growth.
  • In our projections, we also pay close attention to end user dynamics. We anticipate the healthcare sector to emerge as a key driver of growth, expanding with a fastest CAGR of 41.5% during the forecast period spanning 2024 to 2032.

India 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]