USD 12.5 billion
Social commerce transaction volume
Total value of social commerce transactions in Vietnam for 2026
28 million
Number of social commerce users
Estimated social commerce users in Vietnam by 2026
78%
Mobile payment adoption rate
Percentage of social commerce transactions made via mobile payments
USD 445
Average transaction size
Average value per social commerce payment in Vietnam
MoMo Wallet (52%), Bank Transfer (30%), Credit/Debit Cards (18%)
Popular payment methods
Leading digital payment options used for social commerce
Vietnam's social commerce payment landscape in 2026 shows robust growth, with transaction volumes reaching USD 12.5 billion. Mobile payments dominate, accounting for 78% of transactions, driven by widespread smartphone use and innovative digital wallets like MoMo. The average transaction size of USD 445 reflects increased consumer trust and higher-value purchases online, especially among the urban youth segment.
The surge in social commerce users, estimated at 28 million, indicates rising digital literacy and expanding e-commerce infrastructure. Payment preferences favor mobile wallets and bank transfers, highlighting the shift towards cashless transactions. This evolving ecosystem supports Vietnam's goal of becoming a fully digital economy, with social commerce playing a pivotal role in everyday consumer spending.
Frequently Asked Questions
What are the most popular social commerce payment methods in Vietnam in 2026?
MoMo Wallet remains the leading method with 52% usage, followed by bank transfers at 30% and credit/debit cards at 18%, reflecting diverse digital payment options.
How has social commerce impacted Vietnam's digital economy in 2026?
It has significantly increased online transaction volumes, expanded digital payment adoption, and empowered small businesses, making Vietnam a regional leader in social commerce.
Disclaimer: All statistics presented are 2026 estimates and projections based on industry trend analysis, historical data, and publicly available research. Individual data points may vary from actual figures.