HomeEcommerceLithuaniaE-commerce Statistics in Lithuania (2026)

E-commerce Statistics in Lithuania (2026)

Updated March 2026 · Lithuania · Ecommerce
85 EUR
Average Order Value (AOV)
Lithuanian e-commerce platforms
1.8 million
Number of online shoppers
Lithuanian internet users
EUR 1.2 billion
Annual e-commerce revenue
Lithuania's online retail sector
62%
Mobile commerce share
Total online transactions
2.8%
Average conversion rate
Lithuanian e-commerce websites

Lithuania's e-commerce sector in 2026 continues to grow steadily, with an average order value of 85 EUR, reflecting increased consumer trust and premium product offerings. High mobile commerce activity, accounting for 62% of transactions, emphasizes the importance of mobile-friendly platforms. The increasing number of online shoppers, reaching about 1.8 million, demonstrates expanding digital adoption across the country.

The annual revenue from e-commerce has reached approximately EUR 1.2 billion, driven by improved logistics and digital payment options. Despite the growth, the conversion rate remains modest at 2.8%, indicating room for optimizing online shopping experiences. As Lithuania embraces digital transformation, businesses are focusing on personalization and seamless checkout processes to boost sales and loyalty.

Frequently Asked Questions

What factors contribute to Lithuania's rising e-commerce sales?

Enhanced internet access, mobile device usage, improved logistics, and digital payment adoption are key drivers of Lithuania's e-commerce growth in 2026.

How is mobile commerce impacting online shopping in Lithuania?

With 62% of transactions via mobile, mobile commerce is vital, prompting retailers to optimize websites for smartphones and develop dedicated apps.

SR

StateGlobe Research

The StateGlobe Research team analyzes digital marketing, SEO, and web technology trends across 200 countries. Our 2026 projections are based on industry reports, historical data patterns, and expert analysis.

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.