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Publication: August 2024
Report Type: Niche Report
Report Format: PDF DataSheet
Report ID: FIN4480 
  Pages: 110+  

India Fintech Digital Remittances Market Size and Forecast by Transfer Channel, End Users, Industry, Remittance Type, and Transaction Purpose: 2019-2032

Report Format: PDF DataSheet |   Pages: 110+  

 August 2024  | 

India Fintech Digital Remittances Market Growth and Performance

  • 2023 saw the India fintech digital remittances market size rose to US$ 3.48 Billion, marking a 17.1% YoY growth.
  • DataCube Research foresees, the fintech digital remittances market in India is set to make significant strides on the global stage, with projected revenue reaching US$ 27.51 Billion by 2032. Moreover, our analysis indicates a promising trajectory, an anticipated CAGR of 25.6% from 2024 to 2032.
  • Within the Indian fintech digital remittances market, our research highlights the dominance of the bank transfer segment, which claimed the largest market share of 43.1% in 2023. This underscores the segment's robust position and potential for continued growth.
  • In our projections, we also pay close attention to end user dynamics. We anticipate the healthcare sector to emerge as a key driver of growth, expanding with a fastest CAGR of 28.9% during the forecast period spanning 2024 to 2032.

India Fintech Digital Remittances Market Outlook

Analysis Period

2019-2032

Actual Data

2019-2023

Base Year

2024

Estimated Year

2024

CAGR Period

2024-2032
 

Research Scope

Transfer Channel

Bank Transfe

Mobile and Online Transfe

Agent-Based Transfe

Cryptocurrency Transfe

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

Remittance Type

Domestic Remittance

International Remittance

Transaction Purpose

Personal Transfer

Business Transaction


*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]