Publication: June 2024
Report Type: Niche Report
Report Format: PDF DataSheet
Report ID: AI42593 
  Pages: 160+
 

Asia Pacific AI Language Translation NLP Market Size and Forecast by Technology, Deployment Model, Industry, Organization Size, Language Pair, and Country: 2019-2032

Report Format: PDF DataSheet |   Pages: 160+  

 June 2024  | 

Asia Pacific AI Language Translation NLP Market Growth and Performance


  • In 2023, the Asia Pacific AI language translation NLP market size reached US$ 2.1 Million, growing by 16.7% compared to the previous year.
  • The AI language translation NLP market in Asia Pacific is projected to expand at a CAGR of 17.2% throughout the forecast period to reach US$ 8.9 Million in 2032.
  • Contribution by the text translation sub-segment to overall technology segment revenue is expected to surge to US$ 4.0 Million by 2032.
  • With 35.1% market share, the IT and telecom sector was the largest end-user vertical for prominent language translation NLP players in 2023

Asia Pacific AI Language Translation NLP Market Scope

Analysis Period

2019-2032

Actual Data

2019-2023

Base Year

2024

Estimated Year

2024

CAGR Period

2024-2032

 

Research Scope

Technology

Text Translatio

Speech Translatio

Multimodal Translatio

Customization and Adaptatio

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

Language Pair

Major Language

Regional and Minority Language

Language Familie

Bidirectional Translatio

Asia Pacific AI Language Translation 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]