Publication: Aug 2024
Report Type: Industry Tracker
Report Format: PDF DataSheet
Report ID: GAC4332 
  Pages: 160+
 

MEA 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  | 

MEA Generative AI Chips Market Growth and Performance


  • The generative AI chips market size in MEA increased to US$ 1.28 Billion in 2023, with a year-on-year growth rate of 39.0%.
  • By the end of 2032, the Middle East & Africa generative AI chips market is on track to achieve US$ 13.80 Billion, with a forecasted Compound Annual Growth Rate (CAGR) of 30.2% throughout the forecast period.
  • The generative ai GPUs segment is estimated to hold the largest market share of 51.8% and be valued at US$ 7.15 Billion in 2032.
  • In 2032, 34.2% of the total spending in the Middle East & Africa generative AI chips market is forecasted to come from Saudi Arabia.

MEA 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

 

 

MEA Generative AI Chips Industry: Country Coverage

 

Countries

MEA

Israe

South Afric

Saudi Arabi

UA

Qata

Kuwai

Oma

Bahrai

Nigeri

Keny

Turkey

Rest of ME

Drive innovation and growth with trusted market insights—request the report today.

*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]