Bitcoin did not register the highest number of addresses that actively sent or received BTC coins on the blockchain in April 2025. Indeed, Bitcoin was outperformed by TRON (TRX), a cryptocurrency that once was a part of Ethereum and is mostly associated with a protocol for hosting Tether and Decentralized Finance. Bitcoin reached an average of nearly 670,000 addresses that month - a figure that somewhat resembles how many unique users were actively buying or selling BTC. By comparison, TRON reached a figure of 2.4 million active addresses.

The market size of decentralized finance market size declined to less than 50 billion U.S. dollars come April 2023. This is a significant change from 2021, when the size of the decentralized finance market reached heights it had not reached before. The DeFi market was especially impacted by the crash for Terra (LUNA) and its stablecoin TerraUSD (UST) in May 2022 - with uncertainty still being present in June 2022 when coins such as USDD lost their peg to the U.S. dollar. Moreover, a declining crypto market also impacts DeFi. As Ethereum is the main blockchain powering transactions for decentralized finance, price developments of this particular cryptocurrency can have a big impact. As of July 22, 2025, the market size has increased significantly to approximately 139.74 billion U.S. dollars.

Context

Ethereum Classic is an open-source, public, blockchain-based distributed computing platform featuring smart contract (scripting) functionality. It provides a decentralized Turing-complete virtual machine, the Ethereum Virtual Machine (EVM), which can execute scripts using an international network of public nodes. Ethereum Classic and Ethereum have a value token called "ether", which can be transferred between participants, stored in a cryptocurrency wallet and is used to compensate participant nodes for computations performed in the Ethereum Platform.

Ethereum Classic came into existence when some members of the Ethereum community rejected the DAO hard fork on the grounds of "immutability", the principle that the blockchain cannot be changed, and decided to keep using the unforked version of Ethereum. Till this day, Etherum Classic runs the original Ethereum chain.

Content

In this dataset, you will have access to Ethereum Classic (ETC) historical block data along with transactions and traces. You can access the data from BigQuery in your notebook with bigquery-public-data.crypto_ethereum_classic dataset.

Querying BigQuery tables

You can use the BigQuery Python client library to query tables in this dataset in Kernels. Note that methods available in Kernels are limited to querying data. Tables are at bigquery-public-data.crypto_ethereum_classic.[TABLENAME]. Fork this kernel to get started.

Acknowledgements

This dataset wouldn't be possible without the help of Allen Day, Evgeny Medvedev and Yaz Khoury. This dataset uses Blockchain ETL. Special thanks to ETC community member @donsyang for the banner image.

Inspiration

One of the main questions we wanted to answer was the Gini coefficient of ETC data. We also wanted to analyze the DAO Smart Contract before and after the DAO Hack and the resulting Hardfork. We also wanted to analyze the network during the famous 51% attack and see what sort of patterns we can spot about the attacker.

From the Texas Work Group on Blockchain Matters, this is the report and proposed master plan to expand the blockchain industry in Texas in compliance with House Bill 1576, passed by the 87th Texas Legislature. This report examines the current blockchain industry in Texas, reviews the state’s current academic, educational, and workforce needs required to grow the industry, and identifies areas for economic growth and development opportunities presented by blockchain technology. The report contains legislative and policy recommendations aimed at encouraging the industry’s expansion and establishing regulatory and legal clarity to establish Texas as a leader in the blockchain technology and cryptocurrency space.

Dataset Card for LLM Blockchain Benchmark

  Dataset Summary

The Blockchain Benchmark Dataset is a comprehensive collection of data specifically curated for benchmarking Language Models (LMs) in the domain of blockchain technology. This dataset is designed to facilitate research and development in natural language understanding within the blockchain domain. A complete list of tasks: ['general-reasoning', 'code', 'math']

  Supported Tasks and Leaderboards

Model… See the full description on the dataset page: https://huggingface.co/datasets/revflask/blockchain-benchmark.

The market size of decentralized finance market size declined to less than 50 billion U.S. dollars come April 2023. This is a significant change from 2021, when the size of the decentralized finance market reached heights it had not reached before. The DeFi market was especially impacted by the crash for Terra (LUNA) and its stablecoin TerraUSD (UST) in May 2022 - with uncertainty still being present in June 2022 when coins such as USDD lost their peg to the U.S. dollar. Moreover, a declining crypto market also impacts DeFi. As Ethereum is the main blockchain powering transactions for decentralized finance, price developments of this particular cryptocurrency can have a big impact. As of August 12, 2025, the market size has increased significantly to approximately 149.84 billion U.S. dollars.

Blockchain Technology Market size is projected to surpass at USD 12,895 Bn by 2032 and it is growing at a CAGR of 68% from 2023 and 2032.

View daily updates and historical trends for Bitcoin Blockchain Size. Source: Blockchain.com. Track economic data with YCharts analytics.

Description This dataset contains the Pagerank values and rankings of 147.098.561 Ethereum addresses. File format The dataset is compressed with bzip2. It can be uncompressed using the command bunzip2. It is a space-delimited plain text file and has the following four fields: Ethereum Address: A 42-character hexadecimal Ethereum address in the lowercase form (not in checksummed (mixed-case) form). E.g. 0x3f5ce5fbfe3e9af3971dd833d26ba9b5c936f0be rank: Unique Pagerank rank where the ties (addresses having the same Pagerank value) are resolved by sorting the addresses by hexadecimal value rank with ties: Pagerank rank where the ties (addresses having the same Pagerank value) have the same rank. Pagerank value: Pagerank of the address calculated using Pagerank algorithm. Dataset Generation The Ethereum transactions between blocks 0 (mined on 30.07.2015) and 13.799.999 (mined on 14.12.2021) are extracted. A transaction graph is constructed, where Ethereum addresses are nodes of the graph and the transactions are edges of the graph. Pagerank is applied on this transaction graph. This computation is performed using the system presented in the paper 'Parallel analysis of Ethereum blockchain transaction data using cluster computing'. Note If you use our dataset in your research, please cite our paper: https://link.springer.com/article/10.1007/s10586-021-03511-0 @article{kilic2022parallel, title={Parallel Analysis of Ethereum Blockchain Transaction Data using Cluster Computing}, journal={Cluster Computing}, author={K{\i}l{\i}{\c{c}}, Baran and {"O}zturan, Can and Sen, Alper}, year={2022}, month={Jan} } Other Datasets If you are interested, please also check out our Pagerank Dataset for Bitcoin Blockchain.

This dataset contains bitcoin transfer transactions extracted from the Bitcoin Mainnet blockchain. Details of the datasets are given below: FILENAME FORMAT: The filenames have the following format: btc-tx- where For example file btc-tx-100000-149999-aa.bz2 and the rest of the parts if any contain transactions from block 100000 to block 149999 inclusive. The files are compressed with bzip2. They can be uncompressed using command bunzip2. TRANSACTION FORMAT: Each line in a file corresponds to a transaction. The transaction has the following format: BLOCK TIME FORMAT: The block time file has the following format: IMPORTANT NOTE: Public Bitcoin Mainnet blockchain data is open and can be obtained by connecting as a node on the blockchain or by using the block explorer web sites such as https://btcscan.org . The downloaders and users of this dataset accept the full responsibility of using the data in GDPR compliant manner or any other regulations. We provide the data as is and we cannot be held responsible for anything. NOTE: If you use this dataset, please do not forget to add the DOI number to the citation. If you use our dataset in your research, please also cite our paper: https://link.springer.com/chapter/10.1007/978-3-030-94590-9_14 @incollection{kilicc2022analyzing, title={Analyzing Large-Scale Blockchain Transaction Graphs for Fraudulent Activities}, author={K{\i}l{\i}{\c{c}}, Baran and {"O}zturan, Can and {\c{S}}en, Alper}, booktitle={Big Data and Artificial Intelligence in Digital Finance}, pages={253--267}, year={2022}, publisher={Springer, Cham} }

Comprehensive Ethereum blockchain dataset, capturing every uncle detail. Ideal for research, analysis, and crypto insights.

The number of B2B cross-border transactions finalized on blockchain worldwide is expected to increase dramatically over the coming years. In 2020, the Asian market accounted for more than ********* of the total transaction. By 2025, the number of B2B cross-border transactions on blockchain will reach *** million. The second region in terms of number of blockchain transactions was Europe, where the number of these transactions is estimated to reach *** million by 2025.

The first dataverse that offers a detailed number of inputs and outputs generated in Bitcoin, from the genesis block to block 831,732. It includes various attributes such as TotalSize, Size, Inputs, Outputs, Block, and VinTxIds, providing comprehensive insights into the characteristics and components of individual transactions within the Bitcoin blockchain network. Attributes: Transaction: Identifier for the transaction. Total Size: Total size of the transaction, including SegWit. Size: Size of the transaction. Inputs: Number of inputs involved in the transaction. Outputs: Number of outputs generated by the transaction. Block: Identifier for the block containing the transaction. VinTxIds: Array of previous transactions involved in the current transaction (Input Transaction IDs). This dataset is a valuable resource for researchers and analysts interested in exploring transactional patterns, analyzing transaction sizes, tracking inputs and outputs, and studying the relationship between transactions and blocks within the blockchain network. By including transactions from the Genesis block to block 831,732, it provides a view of transactional behavior and dynamics over a significant period in the history of the Bitcoin network. Objective The objective of this database is to delve deep into the UTXO Models, identifying their transactional patterns. By understanding these models thoroughly, we aim to pave the way for future research to enhance storage scalability in distributed environments. Our ultimate goal is to contribute to the advancement of blockchain technology by unlocking more efficient transactional patterns.

Introduction

Blockchain Statistics: Blockchain technology has rapidly emerged as a game-changing innovation, transforming sectors such as finance, supply chain management, healthcare, and beyond. Its decentralized and secure architecture offers a powerful solution to issues related to data integrity, transparency, and fraud prevention. By enabling direct peer-to-peer transactions without intermediaries, blockchain improves efficiency and reduces operational costs.

This technology is at the forefront of digital transformation, enabling the creation of decentralised applications (dApps), smart contracts, and cryptocurrency platforms. As both businesses and governments continue to explore their capabilities, blockchain is set to revolutionize industries by providing more secure, transparent, and efficient systems. With ongoing technological advancements and increasing regulatory frameworks, blockchain is poised to play a crucial role in shaping the future of digital economies, fostering trust, and transforming traditional business models.

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Blockchain Technology In Transportation And Logistics Industry Market Size 2024-2028

The blockchain technology in transportation and logistics industry market size is forecast to increase by USD 6.91 billion, at a CAGR of 60.82% between 2023 and 2028.

The market is experiencing significant growth due to the increasing adoption of blockchain technology in the trucking sector. This trend is driven by the benefits of transparency, security, and efficiency that blockchain offers in managing complex supply chains and logistics operations. Furthermore, the advent of Block-as-a-Service (BaaS) solutions has made it easier for companies to implement and experiment with blockchain technology without the need for extensive in-house expertise or resources. However, the high cost for implementing and maintaining blockchain technology poses a significant challenge for smaller players in the market. The complex nature of blockchain technology and the need for specialized skills and infrastructure make it a costly investment for many organizations.
To capitalize on the opportunities presented by this market, companies must carefully evaluate the potential returns on investment and explore partnerships or collaborations to share costs and resources. Effective strategic planning and a clear understanding of the market's dynamics are essential for businesses seeking to navigate the challenges and capitalize on the potential of the Blockchain Technology in Transportation and Logistics Industry.

What will be the Size of the Blockchain Technology In Transportation And Logistics Industry Market during the forecast period?

Explore in-depth regional segment analysis with market size data - historical 2018-2022 and forecasts 2024-2028 - in the full report.
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The blockchain technology market in freight logistics is experiencing continuous evolution, revolutionizing various sectors with its innovative applications. Enhanced transparency and automation of processes are at the forefront of this transformation. For instance, a leading logistics company reported a 25% increase in sales due to the implementation of a blockchain-based payment system, ensuring secure and swift transactions. Moreover, access control management in port operations is being redefined through blockchain technology, allowing for decentralized transportation and real-time shipment visibility. Predictive maintenance and supply chain finance are also benefiting from this technology, with industry growth expectations reaching 30% by 2025.

Blockchain port operations enable secure data sharing and data integrity verification, while cryptographic hash functions ensure immutable record keeping. Warehouse management systems are optimized through IoT sensor integration and logistics network optimization, leading to improved operational efficiency and risk mitigation strategies. Smart contracts logistics and digital twin technology are revolutionizing transportation asset tracking and cargo tracking, respectively. Blockchain cargo tracking ensures shipment verification and fraud detection systems, providing end-to-end supply chain traceability. The implementation of distributed ledger technology in freight logistics results in reduced transaction costs and enhanced contract lifecycle management. Smart container monitoring and transportation asset tracking further enhance the benefits of this technology, making it an indispensable tool for the logistics industry.

How is this Blockchain Technology In Transportation And Logistics Industry Industry segmented?

The blockchain technology in transportation and logistics industry industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.

Mode Of Transportation

  Land
  Sea
  Others


End-user

  SMEs
  Large enterprises


Geography

  North America

    US


  Europe

    Germany
    Switzerland


  APAC

    China
    Japan


  Rest of World (ROW)

By Mode Of Transportation Insights

The land segment is estimated to witness significant growth during the forecast period.

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The Land segment was valued at USD 101.90 billion in 2018 and showed a gradual increase during the forecast period.

Regional Analysis

North America is estimated to contribute 46% to the growth of the global market during the forecast period. Technavio's analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period.

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The freight logistics blockchain market in North America is experiencing significant growth due to the increasing adoption of this technology by enterprises for enhanced transparency and automation of processes. Blockchain-based payments, access control manag

The blockchain technology market is anticipated to expand exponentially from 2025 to 2035, boosted by the increasing use of decentralized applications, smart contracts, and enterprise blockchain solutions. The industry is expected to grow from USD 9.58 billion in 2025 to USD 377.10 billion in 2035, with a compound annual growth rate (CAGR) of 44.3% over the forecast period.

Contract & Deals Analysis - Blockchain Technology Market

Company	Contract Value (USD Million)
IBM Blockchain	Approximately USD 120 - USD 130
Microsoft Azure Blockchain	Approximately USD 100 - USD 110
Ripple Labs Inc.	Approximately USD 90 - USD 100
Ethereum Enterprise Alliance (EEA)	Approximately USD 80 - USD 90

Country-Wise Outlook

Countries	CAGR (2025 to 2035)
USA	11.2%
China	12.0%
Germany	10.3%
Japan	10.7%
India	12.3%
Australia	10.5%

Competitive Outlook

Company Name	Estimated Market Share (%)
IBM Blockchain	20-25%
Microsoft Azure Blockchain	15-20%
Amazon Web Services (AWS) Blockchain	10-15%
Ripple Labs	8-12%
Oracle Blockchain	5-10%
R3 Consortium	4-8%
Other Companies (combined)	30-38%

Description: The Blockchain-Enabled Microgrid Transactions Dataset provides data for studying energy trading, identity authentication, and data security in photovoltaic power generation management. It simulates transactions between Major Users (MU) and Users of Microgrid (UoM), to optimize bidding strategies in a decentralized market.

This dataset includes real-time power pricing, energy consumption and generation, latency, and error metrics. The transactions are classified as successful (1) or unsuccessful (0) based on price and latency conditions.

Key Features: Energy Trading Data: Power consumption, power generation, buying & selling prices. Blockchain & Authentication Factors: Simulating a secure transactional framework. Metrics: Iterations, interval, and performance evaluation. Real-Time Pricing Analysis: Pricing strategies for microwave, optical, and RF technologies. Performance Metrics: RMSE, MAPE, and MAE to assess optimization efficiency. Transaction Success Classification: A target column indicating successful or unsuccessful transactions.

Blockchain Market is segmented By Offering (Hardware and Software) and Market is segmented Type (Private, Public, and Consortium)

Step into the fascinating realm of Bitcoin outputs with this extraordinary dataset, which offers a comprehensive and nuanced perspective. It sheds light on the intricate mechanisms of the Bitcoin system, presenting itself as a constantly updated and priceless resource in the ever-evolving world of blockchain technology. This compilation serves as a veritable fountain of knowledge, tailored to cater to a diverse range of users. Whether you're a seasoned financial expert meticulously analyzing output dynamics, a dedicated researcher delving into the complexities of output configurations, or a fervent blockchain enthusiast seeking to grasp the pivotal elements of this groundbreaking technology, rest assured that this meticulously curated dataset has been crafted with your needs in mind.

For any further details or inquiries about this output dataset, please connect with us at info@blockchair.com. Our dedicated team is always available to guide and ensure you harness the full potential of the information at hand.