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Publication: Sep 2024
Report Type: Sub-Tracker
Report Format: PDF DataSheet
Report ID: GAC43247 
  Pages: 110+  

India Generative AI Neuromorphic Chips Market Size and Forecast by Architecture Type, Node Type, End User Application, Distribution Channel, Integration Type, Orchestration Platform, and Service Type: 2019-2032

Report Format: PDF DataSheet |   Pages: 110+  

 Sep 2024  | 

India Generative AI Neuromorphic Chips Market Growth and Performance

  • 2023 saw the India generative AI neuromorphic chips market size rose to US$ 22.0 Million, marking a 35.4% YoY growth.
  • DataCube Research foresees, the generative AI neuromorphic chips market in India is set to make significant strides on the global stage, with projected revenue reaching US$ 333.4 Million by 2032. Moreover, our analysis indicates a promising trajectory, an anticipated CAGR of 34.7% from 2024 to 2032.
  • Within the Indian generative AI neuromorphic chips market, our research highlights the dominance of the spiking neural networks (SNNs) segment, which claimed the largest market share of 62.6% 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 39.6% during the forecast period spanning 2024 to 2032.

India Generative AI Neuromorphic Chips Market Scope

Analysis Period

2019-2032

Actual Data

2019-2023

Base Year

2023

Estimated Year

2024

CAGR Period

2024-2032
 

Research Scope

Architecture Type

Spiking Neural Networks (SNNs)

Non-Spiking Neural Networks

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

Integration Type

Standalone Neuromorphic Chips

Embedded Neuromorphic Chips
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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]