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Publication: June 2024
Report Type: Sub-Tracker
Report Format: PDF DataSheet
Report ID: AI42511 
  Pages: 160+  

MEA AI Speech-based NLP Market Size and Forecast by Technology, Deployment Model, Industry, Organization Size, Application, and Country: 2019-2032

Report Format: PDF DataSheet |   Pages: 160+  

 June 2024  | 

MEA AI Speech-based NLP Market Growth and Performance

MEA AI Speech-based NLP Market

  • The AI speech-based NLP market size in MEA increased to US$ 722.6 Million in 2023, with a year-on-year growth rate of 29.2%.
  • By the end of 2032, the Middle East & Africa AI speech-based NLP market is on track to achieve US$ 6.37 Billion, with a forecasted Compound Annual Growth Rate (CAGR) of 27.5% throughout the forecast period.
  • The automatic speech recognition (ASR) segment is estimated to hold the largest market share of 43.7% and be valued at US$ 2.79 Billion in 2032.
  • In 2032, 22.0% of the total spending in the Middle East & Africa AI speech-based NLP market is forecasted to come from Nigeria.

MEA AI Speech-based NLP Market Scope

Analysis Period

2019-2032

Actual Data

2019-2023

Base Year

2024

Estimated Year

2024

CAGR Period

2024-2032
 

Research Scope

Technology

Automatic Speech Recognition (ASR

Natural Language Understanding (NLU

Language Generation and Synthesi

Speaker Recognition and Diarizatio

Sentiment Analysis and Emotion Detectio

Deployment Model

On-premis

Cloud-base

Hybri

Industry

IT and Telecom

Media and Entertainment

Energy and Power

Transportation and Logistics

Healthcare

BFSI

Retail

Manufacturing

Public Sector

Other

Organization Size

Large Enterprise

Mid Enterprise

Small Enterprise

Application

Customer Service and Suppor

Virtual Assistants and Chatbot

Transcription and Voice-to-Tex

Voice Command and Contro

Voice Biometrics and Securit

MEA AI Speech-Based NLP Industry: Regional Coverage

 

Countries

MEA

Israe

South Afric

Saudi Arabi

UA

Qata

Kuwai

Oma

Turke

Nigeri

Keny

Zimbabw

Rest of ME
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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]