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Publication: May 2024
Report Type: Niche Report
Report Format: PDF DataSheet
Report ID: AI42281 
  Pages: 160+  

Asia Pacific AI Image Recognition Market Analysis, Size, and Forecast by Component, Deployment Model, Technology, Functionality, and End Users: 2019-2032

Report Format: PDF DataSheet |   Pages: 160+  

 May 2024  | 

Asia Pacific AI Image Recognition Market Snapshot

Asia Pacific AI Image Recognition Market

  • In 2023, the projected revenue in the Asia Pacific AI image recognition market in Asia Pacific is estimated to reach US$ 3.45 Billion.
  • Asia Pacific AI image recognition market is projected to expand at a CAGR of 13.6% throughout the forecast period to reach US$ 10.99 Billion in 2032.
  • Contribution by the software sub-segment to overall segment revenue is expected to surge to US$ 1.74 Billion by 2024.
  • The media and entertainment sector was the largest end-user vertical for prominent image recognition players in 2023, with 43.0% market share.
  • Furthermore, when compared with Asian countries, the AI image recognition market in India is anticipated to generate the highest revenue in 2024.

Asia Pacific AI Image Recognition Industry Coverage

Analysis Period

2019-2032

Actual Data

2019-2023

Base Year

2024

Estimated Year

2024

CAGR Period

2024-2032
 

Research Scope

Component

Hardwar

Softwar

Servic

Deployment Model

Cloud-base

On-premis

Technology

Deep Learning and Neural Network

Traditional Computer Visio

Image Recognition Softwar

Functionality

General-Purpose Image Recognitio

Specialized Image Recognitio

Real-time Image Recognitio

Batch Image Recognitio

End Users

IT and Telecom

Media and Entertainment

Energy and Power

Transportation and Logistics

Healthcare

BFSI

Retail

Manufacturing

Public Sector

Other

Asia Pacific AI Image Recognition Market: Country Coverage

Countries Covered

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]