78
Consumer Confidence Index
Measures trust in social commerce platforms among Singaporeans
S$4.8 billion
Total Social Commerce Transactions
Value of social commerce transactions in Singapore in 2026
85/100
Average Trust Score
Average trust rating of social commerce platforms among users
3.2 million
Number of Active Users on Social Commerce Platforms
Number of Singaporean users engaging in social commerce regularly
Facebook Shops 40%, Instagram Shopping 35%, TikTok Shop 15%, Others 10%
Platform Market Share
Distribution of social commerce platform usage in Singapore
Singapore's social commerce landscape in 2026 demonstrates high consumer trust, with an index of 78 and an average trust score of 85 out of 100. The total transaction volume reached S$4.8 billion, reflecting the country's advanced digital economy and high social media engagement. Active users, numbering 3.2 million, predominantly prefer platforms like Facebook Shops and Instagram Shopping, which together account for 75% of the market share.
The strong trust metrics and high platform engagement indicate Singaporeans’ confidence in online social shopping. This trust drives growth in social commerce, supported by robust digital infrastructure and consumer protection policies. As a result, businesses increasingly leverage these platforms for sales, marketing, and customer engagement, cementing social commerce as a key component of Singapore’s retail ecosystem in 2026.
Frequently Asked Questions
What factors contribute to high social commerce trust in Singapore?
Factors include strict data privacy laws, secure payment systems, positive user reviews, and active moderation by platforms to prevent fraud.
Which social commerce platform is most popular in Singapore?
Facebook Shops remains the most popular, followed by Instagram Shopping and TikTok Shop, due to integrated social features and user familiarity.
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.