Blockchain Data Analytics: Review and Challenges

TL;DR

This paper reviews blockchain data analytics, categorizes existing tools, discusses key challenges, and highlights the need for collaboration between academia and industry to improve insights in the cryptocurrency domain.

Contribution

It provides a comprehensive classification of blockchain analytics tools and discusses major challenges, bridging academic research and industry practices.

Findings

Classification of blockchain analytics tools into categories

Identification of key challenges like data accessibility and scalability

Emphasis on collaboration between academia and industry

Abstract

The integration of blockchain technology with data analytics is essential for extracting insights in the cryptocurrency space. Although academic literature on blockchain data analytics is limited, various industry solutions have emerged to address these needs. This paper provides a comprehensive literature review, drawing from both academic research and industry applications. We classify blockchain analytics tools into categories such as block explorers, on-chain data providers, research platforms, and crypto market data providers. Additionally, we discuss the challenges associated with blockchain data analytics, including data accessibility, scalability, accuracy, and interoperability. Our findings emphasize the importance of bridging academic research and industry innovations to advance blockchain data analytics.