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Publication: June 2024
Report Type: Niche Report
Report Format: PDF DataSheet
Report ID: AI42451 
  Pages: 160+  

Asia Pacific AI Machine Learning Market Size and Forecast by Technology, Deployment Model, Industry, Organization Size, Application, Example, and Country: 2019-2032

Report Format: PDF DataSheet |   Pages: 160+  

 June 2024  | 

Asia Pacific AI Machine Learning Market Growth and Performance

Asia Pacific AI Machine Learning Market

  • In 2023, the Asia Pacific AI machine learning market size reached US$ 16.33 Billion, growing by 28.5% compared to previous year.
  • The AI machine learning market in Asia Pacific is projected to expand at a CAGR of 38.0% throughout the forecast period to reach US$ 284.19 Billion in 2032.
  • Contribution by the supervised learning sub-segment to overall technology segment revenue is expected to surge to US$ 123.93 Billion by 2032.
  • With 34.7% market share, the IT and telecom sector was the largest end-user vertical for prominent machine learning players in 2023

Asia Pacific AI Machine Learning Market Scope

Analysis Period

2019-2032

Actual Data

2019-2023

Base Year

2024

Estimated Year

2024

CAGR Period

2024-2032
 

Research Scope

Technology

Supervised Learnin

Unsupervised Learnin

Reinforcement Learnin

Deep Learnin

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

Predictive Analytic

AI Computer Visio

Natural Language Processing (NLP

Recommendation System

Asia Pacific Machine  Learning Industry: Regional Coverag

 

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]