Recently, the activity on the Aptos network has shown significant growth. According to data from Token Terminal in early March 2026, its daily average transaction count has approached 10 million, a substantial increase from the 3.5 to 7 million range seen in the second half of 2025. This growth is not a temporary fluctuation but a substantial leap achieved within just two quarters.
Meanwhile, the daily average fee revenue at the network layer has remained between $700 and $763 (data source: DefiLlama, as of March 9, 2026). Although the total fees at the application layer can reach $35,000 daily, core layer fees remain extremely low. Over the past 30 days, the total fee revenue across the network was approximately $20,200, and despite the surge in transaction volume, the average fee per transaction has decreased by 23%, reflecting the characteristic of simultaneous scale expansion and low costs.
At the ecosystem level, the tokenization of real-world assets (RWA) protocols is becoming a key driving force. Projects like Securitize and Ondo are leading in total locked value (TVL) on Aptos, with Securitize alone locking over $581 million. Additionally, perpetual contract trading volume surged by 94% week-over-week, indicating that the market is viewing Aptos as a stable and efficient trading execution platform rather than an experimental network.
In February 2026, Aptos proposed a significant tokenomics reform plan, which was approved on March 5 through Proposal 183. This plan established a hard cap supply limit of 2.1 billion APT tokens and introduced a token burn mechanism based on network usage: the higher the transaction volume, the greater the amount burned, creating ongoing deflationary pressure. This design aims to allow the network to achieve long-term value capture while maintaining extremely low fees. Even with a tenfold increase in transaction volume, Aptos's fee levels will still be among the lowest in the crypto space.
Unlike many projects that rely solely on theoretical performance metrics, Aptos's rise is built on real on-chain data. The transition from an average of 3.5 million transactions to surpassing 10 million marks a substantial leap from proof of concept to large-scale practicality.