SGD 2.8 billion
Total Social Commerce Revenue
Singapore's social commerce revenue in 2026, reflecting growth in online shopping via social platforms.
SGD 75
Average Monthly Social Media Spending per User
The typical amount Singaporean users spend monthly on social commerce platforms in 2026.
Fashion & Apparel
Top Social Commerce Category
Leading category in social commerce sales, driven by fast fashion and local brands.
3.2 million
Number of Active Social Commerce Buyers
Number of consumers actively purchasing through social media channels in Singapore.
8.5%
Social Commerce Conversion Rate
Percentage of social media interactions resulting in a purchase in 2026.
Singapore's social commerce landscape in 2026 continues to thrive, with a total revenue of SGD 2.8 billion. The growth is fueled by increased smartphone adoption and widespread social media usage, making online shopping more accessible and convenient for consumers. Fashion and apparel remain dominant categories, reflecting local trends and the influence of fast fashion brands.
Consumers are spending an average of SGD 75 per month on social platforms, indicating heightened engagement and trust in social commerce. The high conversion rate of 8.5% signifies effective marketing strategies and seamless shopping experiences, which are expected to further improve as digital infrastructure and payment solutions advance in Singapore.
Frequently Asked Questions
What are the most popular social commerce platforms in Singapore in 2026?
Platforms like Instagram, TikTok, and Facebook are the leading social commerce channels, with TikTok experiencing rapid growth in live shopping features.
How has social commerce impacted traditional retail in Singapore?
Social commerce has significantly boosted online sales, leading to a shift in consumer behavior and forcing traditional retailers to enhance their digital presence.
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.