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Publication: June 2024
Report Type: Niche Report
Report Format: PDF DataSheet
Report ID: AI42527 
  Pages: 160+  

ASEAN 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  | 

ASEAN AI Speech-based NLP Market Growth and Performance

ASEAN AI Speech-based NLP Market

  • In 2023, the ASEAN AI speech-based NLP market size reached US$ 635.0 Million, growing by 40.8% compared to previous year.
  • The AI speech-based NLP market in ASEAN is projected to expand at a CAGR of 33.1% throughout the forecast period to reach US$ 8.77 Billion in 2032.
  • Contribution by the automatic speech recognition (ASR) sub-segment to overall technology segment revenue is expected to surge to US$ 3.88 Billion by 2032.
  • With 37.9% market share, the IT and telecom sector was the largest end-user vertical for prominent speech-based NLP players in 2023

ASEAN AI Speech-based NLP Market Scope

Analysis Period

2019-2032

Actual Data

2019-2023

Base Year

2023

Estimated Year

2024

CAGR Period

2024-2032
 

Research Scope

Technology

Automatic Speech Recognition (ASR)

Natural Language Understanding (NLU)

Language Generation and Synthesis

Speaker Recognition and Diarization

Sentiment Analysis and Emotion Detection

Deployment Model

On-premise

Cloud-based

Hybrid

Industry

IT and Telecom

Media and Entertainment

Energy and Power

Transportation and Logistics

Healthcare

BFSI

Retail

Manufacturing

Public Sector

Other

Organization Size

Large Enterprises

Mid Enterprises

Small Enterprises

Application

Customer Service and Support

Virtual Assistants and Chatbots

Transcription and Voice-to-Text

Voice Command and Control

Voice Biometrics and Security

 

ASEAN AI Speech-Based NLP Industry: Regional Coverage

 

Countries

ASEAN

Indonesia

Malaysia

Philippines

Singapore

Thailand

Vietnam

 



*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]