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Publication: June 2024
Report Type: Niche Report
Report Format: PDF DataSheet
Report ID: AI42562 
  Pages: 160+  

Asia Pacific AI Text-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  | 

Asia Pacific AI Text-based NLP Market Growth and Performance

Asia Pacific AI Text-based NLP Market

Asia Pacific AI Text-based NLP Market Growth and Performance

  • In 2023, the Asia Pacific AI text-based NLP market size reached US$ 2.31 Billion, growing by 32.3% compared to previous year.
  • The AI text-based NLP market in Asia Pacific is projected to expand at a CAGR of 26.8% throughout the forecast period to reach US$ 20.26 Billion in 2032.
  • Contribution by the machine learning-based NLP sub-segment to overall technology segment revenue is expected to surge to US$ 12.40 Billion by 2032.
  • With 34.9% market share, the IT and telecom sector was the largest end-user vertical for prominent text-based NLP players in 2023

Asia Pacific AI Text-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

Machine Learning-based NL

Deep Learning-based NL

Rule-based NL

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 Servic

Content Creation and Managemen

Sentiment Analysis and Social Media Monitorin

Translation and Localizatio

Information Retrieval and Searc

Text Analytics and Data Minin

Asia Pacific Text-based NLP industry: Regional Coverage

Countries

Asia Pacific

Japa

Australi

Chin

South Kore

Indi

Malaysi

Hong Kon

Indonesi

New Zealan

Rest of Asia Pacifi

Thailan

Vietna

Philippine

Taiwa

Singapor


*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]