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Publication: August 2024
Report Type: Niche Report
Report Format: PDF DataSheet
Report ID: FIN44108 
  Pages: 160+  

Asia Pacific Fintech Mobile PoS Payment Market Size and Forecast by Device Types, End Users, Industry, Application, Payment Type, and Region: Statistics | 2019-2032

Report Format: PDF DataSheet |   Pages: 160+  

 August 2024  | 

Asia Pacific Fintech Mobile PoS Payment Market Growth and Performance

  • In 2023, the Asia Pacific fintech mobile PoS payment market size reached US$ 1.32 Trillion, growing by 27.0% compared to previous year.
  • The fintech mobile PoS payment market in Asia Pacific is projected to expand at a CAGR of 26.1% throughout the forecast period to reach US$ 10.73 Trillion in 2032.
  • Contribution by the smartphones sub-segment to overall device types segment revenue is expected to surge to US$ 6.28 Trillion by 2032.
  • With 24.8% market share, the IT and telecom sector was the largest end-user vertical for prominent fintech mobile PoS payment players in 2023

Asia Pacific Fintech Mobile PoS Payment Market Scope

Analysis Period

2019-2032

Actual Data

2019-2023

Base Year

2024

Estimated Year

2024

CAGR Period

2024-2032
 

Research Scope

Device Types

Smartphone

Tablet

Wearable Device

Other Mobile Device

End Users

Individual Consumer

SME

Medium-sized Enterprise

Large Enterprise

Industry

IT and Telecom

Media and Entertainment

Energy and Power

Transportation and Logistics

Healthcare

BFSI

Retail

Manufacturing

Public Sector

Other

Application

In-Store Payment

Remote Payment

Payment Type

NFC (Near Field Communication) Payment

Cryptocurrency Payment

Mobile Wallets and App

Asia Pacific Fintech Mobile Pos Payment Industry: Regional Coverage

 

Countries

Asia Pacific

Japa

Australi

Chin

South Kore

Indi

Malaysi

Hong Kon

Indonesi

New Zealan

Singapor

Thailan

Vietna

Philippine

Banglades

Rest of Asia Pacifi


*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]