A First Look at Ethereum Blob Revolution: Market, Strategies, and Optimality

TL;DR

This paper provides the first large-scale empirical analysis of Ethereum's post-EIP-4844 ecosystem, revealing significant shifts in transaction patterns, economic strategies, and inefficiencies related to the new blob data structure for scalability.

Contribution

It introduces a comprehensive empirical study of the post-EIP-4844 Ethereum ecosystem and develops a game-theoretic model to analyze the strategic interactions between block builders and rollups.

Findings

Block size increased 2.5 times post-EIP-4844.

Rollups migrated from calldata to blobs, nearly eliminating expensive calldata.

Approximately 29.48% of blob-containing blocks are built sub-optimally.

Abstract

As a key enabler of Web3, Ethereum has long faced scalability challenges. The recent EIP-4844 upgrade aims to alleviate the scalability issue by introducing the ''blob'', a new data structure for Layer-2 rollups that enables off-chain storage with much reduced costs. Yet, this new mechanism's impact on Ethereum, and the wider Web3 ecosystem, remains largely underexplored. In this paper, we conduct the first large-scale empirical analysis of the post-EIP-4844 ecosystem, leveraging a dataset of 319.5 million transactions, out of which 1.3 million are blob-carrying. Our analysis reveals two major trends: (1) average block size has increased 2.5 times, from 150 KB to 400 KB, while the share of conventional transactions has shrunk from over $150$ KB to around 80 KB; (2) rollups are rapidly migrating from expensive calldata, falling from approximately 7,500 to nearly zero, toward cheap blobs, rising from zero to about 10,000. These shifts introduce a new economic game between block builders and rollups. Thus, we develop a game-theoretic model to characterize their equilibrium strategies: a profit-maximizing inclusion rule for builders, and a cost-minimizing blob batching strategy for rollups. Empirically, however, we find notable economic inefficiencies: for example, 29.48% of blob-containing blocks are built sub-optimally, yielding less revenue than available alternatives. These findings highlight the intricacies of the blob marketplace, and our work has established both methodological and empirical foundations to understand the evolving post-EIP4844 Ethereum ecosystem.