Key Takeaways
- In 2022, global remittance flows to low- and middle-income countries reached $626 billion, marking a 7.9% increase from 2021
- Remittances are projected to grow by 2.2% in 2023 to $640 billion for low- and middle-income countries, driven by steady labor markets in high-income economies
- The global remittance market size was valued at $702.30 billion in 2022 and is expected to expand at a CAGR of 6.5% from 2023 to 2030
- Global remittance costs averaged 6.4% of the amount sent in Q4 2022, higher than the SDG target of 3%
- The average cost of sending $200 from the US to Mexico was 5.8% in Q1 2023, down from 6.2% in 2022
- Digital remittance channels had average costs of 5.0% in Q4 2022, compared to 6.9% for non-digital methods
- Remittances to India reached $111 billion in FY 2022-23, the highest globally, primarily from UAE, USA, and Saudi Arabia
- Mexico received $61.1 billion in remittances in 2022, a 13.4% increase from 2021
- Philippines remittances hit $36.1 billion in 2022, supported by BPO sector and OFW deployments
- Remittances contributed 26.3% to GDP in Tonga in 2022, the highest ratio globally
- In Tajikistan, remittances equaled 25.4% of GDP in 2022, supporting household consumption
- Remittances reduced poverty by 1.5 percentage points in recipient households in Latin America per World Bank study
- Western Union holds approximately 16% market share in the global remittance market as of 2023
- MoneyGram captured 10.2% of the global remittance market in 2022, focusing on cash-to-cash corridors
- Ria Money Transfer, owned by Euronet, processed $45 billion in remittances in 2022
Remittances are growing steadily, becoming vital financial lifelines for many developing nations.
Cost and Fee Analysis
Cost and Fee Analysis Interpretation
Economic and Social Impact
Economic and Social Impact Interpretation
Global Market Statistics
Global Market Statistics Interpretation
Key Players and Market Share
Key Players and Market Share Interpretation
Regional and Country-Specific Data
Regional and Country-Specific Data Interpretation
Trends and Innovations
Trends and Innovations Interpretation
Sources & References
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