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.

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.

The AWS Public Blockchain Data initiative provides free access to blockchain datasets through collaboration with data providers. The data is optimized for analytics by being transformed into compressed Parquet files, partitioned by date for efficient querying.

Datasets

Blockchain dataset - Maintained by - Path:
- Bitcoin - AWS - s3://aws-public-blockchain/v1.0/btc/
- Ethereum - AWS - s3://aws-public-blockchain/v1.0/eth/
- Arbitrum - SonarX - s3://aws-public-blockchain/v1.1/sonarx/arbitrum/
- Aptos - SonarX - s3://aws-public-blockchain/v1.1/sonarx/aptos/
- Base - SonarX - s3://aws-public-blockchain/v1.1/sonarx/base/
- Provenance - SonarX - s3://aws-public-blockchain/v1.1/sonarx/provenance/
- XRP Ledger - SonarX - s3://aws-public-blockchain/v1.1/sonarx/xrp/
- Stellar(XDR files) - Stellar - s3://aws-public-blockchain/v1.1/stellar/
- The Open Network (TON) - TON - s3://aws-public-blockchain/v1.1/ton/

Become a Data Provider

We welcome additional blockchain data providers to join this initiative. If you're interested in contributing datasets to the AWS Public Blockchain Data program, please contact our team at aws-public-blockchain@amazon.com.

Bitcoin's blockchain size was close to reaching 652.93 gigabytes in June 2025, as the database saw exponential growth by nearly one gigabyte every few days. The Bitcoin blockchain contains a continuously growing and tamper-evident list of all Bitcoin transactions and records since its initial release in January 2009. Bitcoin has a set limit of 21 million coins, the last of which will be mined around 2140, according to a forecast made in 2017. Bitcoin mining: A somewhat uncharted world Despite interest in the topic, there are few accurate figures on how big Bitcoin mining is on a country-by-country basis. Bitcoin's design philosophy is at the heart of this. Created out of protest against governments and central banks, Bitcoin's blockchain effectively hides both the country of origin and the destination country within a (mining) transaction. Research involving IP addresses placed the United States as the world's most Bitcoin mining country in 2022 - but the source admits IP addresses can easily be manipulated using VPN. Note that mining figures are different from figures on Bitcoin trading: Africa and Latin America were more interested in buying and selling BTC than some of the world's developed economies. Bitcoin developments Bitcoin's trade volume slowed in the second quarter of 2023, after hitting a noticeable growth at the beginning of the year. The coin outperformed most of the market. Some attribute this to the announcement in June 2023 that BlackRock filed for a Bitcoin ETF. This iShares Bitcoin Trust was to use Coinbase Custody as its custodian. Regulators in the United States had not yet approved any applications for spot ETFs on Bitcoin.

Context

Bitcoin and other cryptocurrencies have captured the imagination of technologists, financiers, and economists. Digital currencies are only one application of the underlying blockchain technology. Like its predecessor, Bitcoin, the Ethereum blockchain can be described as an immutable distributed ledger. However, creator Vitalik Buterin also extended the set of capabilities by including a virtual machine that can execute arbitrary code stored on the blockchain as smart contracts.

Both Bitcoin and Ethereum are essentially OLTP databases, and provide little in the way of OLAP (analytics) functionality. However the Ethereum dataset is notably distinct from the Bitcoin dataset:

• The Ethereum blockchain has as its primary unit of value Ether, while the Bitcoin blockchain has Bitcoin. However, the majority of value transfer on the Ethereum blockchain is composed of so-called tokens. Tokens are created and managed by smart contracts.

• Ether value transfers are precise and direct, resembling accounting ledger debits and credits. This is in contrast to the Bitcoin value transfer mechanism, for which it can be difficult to determine the balance of a given wallet address.

• Addresses can be not only wallets that hold balances, but can also contain smart contract bytecode that allows the programmatic creation of agreements and automatic triggering of their execution. An aggregate of coordinated smart contracts could be used to build a decentralized autonomous organization.

Content

The Ethereum blockchain data are now available for exploration with BigQuery. All historical data are in the ethereum_blockchain dataset, which updates daily.

Our hope is that by making the data on public blockchain systems more readily available it promotes technological innovation and increases societal benefits.

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.[TABLENAME]. Fork this kernel to get started.

Acknowledgements

Cover photo by Thought Catalog on Unsplash

Inspiration

• What are the most popularly exchanged digital tokens, represented by ERC-721 and ERC-20 smart contracts?
• Compare transaction volume and transaction networks over time
• Compare transaction volume to historical prices by joining with other available data sources like Bitcoin Historical Data

Blockchain Market size was valued at USD 24.20 Bn in 2024, and is expected to reach USD 301.02 Bn by 2030, due to the rising adoption of digital payments.

Each type of blockchain in the global agriculture and food markets are expected to increase in value by about *** times between 2020 and 2026. Public blockchain is predicted to reach approximately *** million U.S. dollars by 2026.

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.

Description

This dataset, titled "Cryptocurrency Market Sentiment & Prediction," is a synthetic collection of real-time crypto market data designed for advanced analysis and predictive modeling. It captures a comprehensive range of features including price movements, social sentiment, news impact, and trading patterns for 10 major cryptocurrencies. Tailored for data scientists and analysts, this dataset is ideal for exploring market volatility, sentiment analysis, and price prediction, particularly in the context of significant events like the Bitcoin halving in 2024 and increasing institutional adoption.

Key Features Overview: - Price Movements: Tracks current prices and 24-hour price change percentages to reflect market dynamics. - Social Sentiment: Measures sentiment scores from social media platforms, ranging from -1 (negative) to 1 (positive), to gauge public perception. - News Sentiment and Impact: Evaluates sentiment from news sources and quantifies their potential impact on market behavior. - Trading Patterns: Includes data on 24-hour trading volumes and market capitalization, crucial for understanding market activity. - Technical Indicators: Features metrics like the Relative Strength Index (RSI), volatility index, and fear/greed index for in-depth technical analysis. - Prediction Confidence: Provides a confidence score for predictive models, aiding in assessing forecast reliability.

Purpose and Applications: - Perfect for machine learning tasks such as price prediction, sentiment-price correlation studies, and volatility classification. - Supports time series analysis for forecasting price movements and identifying volatility clusters. - Valuable for research into the influence of social media and news on cryptocurrency markets, especially during high-impact events.

Dataset Scope: - Covers a simulated 30-day period, offering a snapshot of market behavior under varying conditions. - Focuses on major cryptocurrencies including Bitcoin, Ethereum, Cardano, Solana, and others, ensuring relevance to current market trends.

Dataset Structure Table:

Column Name	Description	Data Type	Range/Value Example
timestamp	Date and time of data record	datetime	Last 30 days (e.g., 2025-06-04 20:36:49)
cryptocurrency	Name of the cryptocurrency	string	10 major cryptos (e.g., Bitcoin)
current_price_usd	Current trading price in USD	float	Market-realistic (e.g., 47418.4096)
price_change_24h_percent	24-hour price change percentage	float	-25% to +27% (e.g., 1.05)
trading_volume_24h	24-hour trading volume	float	Variable (e.g., 1800434.38)
market_cap_usd	Market capitalization in USD	float	Calculated (e.g., 343755257516049.1)
social_sentiment_score	Sentiment score from social media	float	-1 to 1 (e.g., -0.728)
news_sentiment_score	Sentiment score from news sources	float	-1 to 1 (e.g., -0.274)
news_impact_score	Quantified impact of news on market	float	0 to 10 (e.g., 2.73)
social_mentions_count	Number of mentions on social media	integer	Variable (e.g., 707)
fear_greed_index	Market fear and greed index	float	0 to 100 (e.g., 35.3)
volatility_index	Price volatility index	float	0 to 100 (e.g., 36.0)
rsi_technical_indicator	Relative Strength Index	float	0 to 100 (e.g., 58.3)
prediction_confidence	Confidence level of predictive models	float	0 to 100 (e.g., 88.7)

Dataset Statistics Table:

Statistic	Value
Total Rows	2,063
Total Columns	14
Cryptocurrencies	10 major tokens
Time Range	Last 30 days
File Format	CSV
Data Quality	Realistic correlations between features

This dataset is a powerful resource for machine learning projects, sentiment analysis, and crypto market research, providing a robust foundation for AI/ML model development and testing.

Context

A cryptocurrency, crypto-currency, or crypto is a collection of binary data which is designed to work as a medium of exchange. Individual coin ownership records are stored in a ledger, which is a computerized database using strong cryptography to secure transaction records, to control the creation of additional coins, and to verify the transfer of coin ownership. Cryptocurrencies are generally fiat currencies, as they are not backed by or convertible into a commodity. Some crypto schemes use validators to maintain the cryptocurrency. In a proof-of-stake model, owners put up their tokens as collateral. In return, they get authority over the token in proportion to the amount they stake. Generally, these token stakes get additional ownership in the token overtime via network fees, newly minted tokens, or other such reward mechanisms.

Cryptocurrency does not exist in physical form (like paper money) and is typically not issued by a central authority. Cryptocurrencies typically use decentralized control as opposed to a central bank digital currency (CBDC). When a cryptocurrency is minted or created prior to issuance or issued by a single issuer, it is generally considered centralized. When implemented with decentralized control, each cryptocurrency works through distributed ledger technology, typically a blockchain, that serves as a public financial transaction database

A cryptocurrency is a tradable digital asset or digital form of money, built on blockchain technology that only exists online. Cryptocurrencies use encryption to authenticate and protect transactions, hence their name. There are currently over a thousand different cryptocurrencies in the world, and many see them as the key to a fairer future economy.

Bitcoin, first released as open-source software in 2009, is the first decentralized cryptocurrency. Since the release of bitcoin, many other cryptocurrencies have been created.

Content

This Dataset is a collection of records of 3000+ Different Cryptocurrencies. * Top 395+ from 2021 * Top 3000+ from 2023

Structure of the Dataset

https://i.imgur.com/qGVJaHl.png" alt="">

Acknowledgements

This Data is collected from: https://finance.yahoo.com/. If you want to learn more, you can visit the Website.

Cover Photo by Worldspectrum: https://www.pexels.com/photo/ripple-etehereum-and-bitcoin-and-micro-sdhc-card-844124/

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.

As of 2021, ** percent of respondents stated that their companies were working on secure information exchange as a use case based on blockchain technology, making it the most popular use case of the technology. Digital currency such as Bitcoin and Ethereum, asset tracking and management etc. are also common blockchain use cases.

Introduction

Digital Currency Statistics: Digital currency, also known as cryptocurrency, is a type of virtual money based on blockchain technology.

Offering decentralization, cryptographic security, and various forms like cryptocurrencies (e.g., Bitcoin, Ethereum).

Central bank digital currencies (CBDCs), stablecoins, and tokenized assets. Transactions are secured through cryptography, and ownership is verified using private and public keys.

Digital currencies have use cases in online transactions, remittances, and investments. Cross-border transfers are characterized by price volatility and face regulatory scrutiny. They rely on consensus mechanisms like mining or proof-of-stake for transaction validation.

Despite challenges, they continue to innovate, attracting investment and reshaping the financial landscape with applications like decentralized finance (DeFi) and non-fungible tokens (NFTs) while undergoing varying degrees of global adoption.

https://scoop.market.us/wp-content/uploads/2023/11/Digital-Currency-Statistics.png" alt="Digital Currency Statistics" class="wp-image-39886">

According to Cognitive Market Research, the global blockchain market size is USD 7.4. billion in 2024 and will expand at a compound annual growth rate (CAGR) of 66.2% from 2024 to 2031. Market Dynamics of Blockchain Market

Key Drivers for Blockchain Market

Greater need for transparency- The demand for blockchain is driven because it is possible for everyone in the network to see the history of every transaction in real time; blockchain provides unrivaled transparency. Particularly in the banking, real estate, and law sectors, blockchain technology has the potential to improve operations, cut costs, and eliminate intermediaries in financial transactions.
One major factor in blockchain’s market increasing popularity is the cryptocurrency market.

Key Restraints for Blockchain Market

The market can face significant challenges in the coming years due to a lack of knowledge; existing legacy systems can be difficult and expensive to integrate with the blockchain market.
Another factor that restricts the market’s expansion is the presence of rigid government requirements and complicated systems.

Introduction of the Blockchain Market

Blockchain is a decentralized database system that enables immutable, worldwide storage of data across thousands of machines with near-real-time visibility into all network transactions. The market is expected to be driven by secure and transparent transactions, which are the main drivers of the blockchain market and are affecting many different businesses. Industries such as healthcare, supply chains, and finance are driving the use of blockchain technology due to its enhanced traceability, transparency, and security features. Also contributing to the market’s expansion are developments such as the proliferation of digital currencies and the increasing funding for blockchain businesses. The demand for more openness and security is propelling the blockchain business because the former guarantees the authenticity of data, and the latter makes efficient analysis possible. One of the main reasons the blockchain business is predicted to grow in the next years is the increasing number of connected devices.

The Blockchain Solutions market has rapidly emerged as a transformative force across various industries, revolutionizing how businesses operate, share data, and ensure security. Defined as a decentralized digital ledger technology, blockchain provides a secure and transparent means of recording transactions, enablin

In 2021, global spending on blockchain solutions is projected to reach *** billion dollars. Forecasts suggest that spending on blockchain solutions will continue to grow in the coming years, reaching almost ** billion U.S. dollars by 2024. What is blockchain? Widely known for its association with cryptocurrencies such as Bitcoin, blockchain technology is simply an electronic list of connected records and verified records. Some of the benefits of this electronic “ledger” are that it is tamper-evident and can be efficiently updated online due to its nature as a decentralized network across many devices. These features make the technology perfect for data validation, data access, and identity protection, which serve as blockchain’s most common use cases. Enterprises around the world have begun to adopt private blockchain for internal purposes such as record keeping and intra-company transactions, as well as public blockchain like Bitcoins in their payment processes. The business of blockchain Given the potential of the technology and the widespread business interest in the capabilities it can provide, blockchain has become a considerable market in its own right, even at this relatively early stage of the technology’s development. Promising blockchain startup companies regularly accumulate hundreds of millions of dollars of investment in their initial offerings, with particularly successful ones such as EOS raking in multiple billions.

WannaCry Bitcoin Cash-in and Cash-out payment network data in JSON along with STIX representation of address 12t9YDPgwueZ9NyMgw519p7AA8isjr6SMw12t9YDPgwueZ9NyMgw519p7AA8isjr6SMw

Survey of advanced technology, applications related to blockchain or distributed ledger technologies, by North American Industry Classification System (NAICS) and enterprise size for Canada and certain provinces, in 2022.

Cryptocurrency historical datasets from January 2012 (if available) to October 2021 were obtained and integrated from various sources and Application Programming Interfaces (APIs) including Yahoo Finance, Cryptodownload, CoinMarketCap, various Kaggle datasets, and multiple APIs. While these datasets used various formats of time (e.g., minutes, hours, days), in order to integrate the datasets days format was used for in this research study. The integrated cryptocurrency historical datasets for 80 cryptocurrencies including but not limited to Bitcoin (BTC), Ethereum (ETH), Binance Coin (BNB), Cardano (ADA), Tether (USDT), Ripple (XRP), Solana (SOL), Polkadot (DOT), USD Coin (USDC), Dogecoin (DOGE), Tron (TRX), Bitcoin Cash (BCH), Litecoin (LTC), EOS (EOS), Cosmos (ATOM), Stellar (XLM), Wrapped Bitcoin (WBTC), Uniswap (UNI), Terra (LUNA), SHIBA INU (SHIB), and 60 more cryptocurrencies were uploaded in this online Mendeley data repository. Although the primary attribute of including the mentioned cryptocurrencies was the Market Capitalization, a subject matter expert i.e., a professional trader has also guided the initial selection of the cryptocurrencies by analyzing various indicators such as Relative Strength Index (RSI), Moving Average Convergence/Divergence (MACD), MYC Signals, Bollinger Bands, Fibonacci Retracement, Stochastic Oscillator and Ichimoku Cloud. The primary features of this dataset that were used as the decision-making criteria of the CLUS-MCDA II approach are Timestamps, Open, High, Low, Closed, Volume (Currency), % Change (7 days and 24 hours), Market Cap and Weighted Price values. The available excel and CSV files in this data set are just part of the integrated data and other databases, datasets and API References that was used in this study are as follows: [1] https://finance.yahoo.com/ [2] https://coinmarketcap.com/historical/ [3] https://cryptodatadownload.com/ [4] https://kaggle.com/philmohun/cryptocurrency-financial-data [5] https://kaggle.com/deepshah16/meme-cryptocurrency-historical-data [6] https://kaggle.com/sudalairajkumar/cryptocurrencypricehistory [7] https://min-api.cryptocompare.com/data/price?fsym=BTC&tsyms=USD [8] https://min-api.cryptocompare.com/ [9] https://p.nomics.com/cryptocurrency-bitcoin-api [10] https://www.coinapi.io/ [11] https://www.coingecko.com/en/api [12] https://cryptowat.ch/ [13] https://www.alphavantage.co/ This dataset is part of the CLUS-MCDA (Cluster analysis for improving Multiple Criteria Decision Analysis) and CLUS-MCDAII Project: https://aimaghsoodi.github.io/CLUSMCDA-R-Package/ https://github.com/Aimaghsoodi/CLUS-MCDA-II https://github.com/azadkavian/CLUS-MCDA

The global blockchain technology market is projected to increase from a size of US$ 19.7 billion in 2024 to 2,450.4 billion by the end of 2034, expanding rapidly at a CAGR of 62% between 2024 and 2034.

Report Attributes	Details
Blockchain Technology Market Size (2024E)	US$ 19.7 Billion
Projected Market Value (2034F)	US$ 2,450.4 Billion
Global Market Growth Rate (2024 to 2034)	62% CAGR
China Market Value (2034F)	US$ 268.9 Billion
Canada Market Growth Rate (2024 to 2034)	62.7% CAGR
North America Market Share (2024E)	23.9%
East Asia Market Value (2034F)	US$ 566 Billion
Key Companies Profiled	IBM Corp. Microsoft Corp. The Linux Foundation BTL Group Ltd. Chain Inc. Monax Ripple Global Arena Holding, Inc.

Country-wise Insights

Attribute	United States
Market Value (2024E)	US$ 2.1 Billion
Growth Rate (2024 to 2034)	62.7% CAGR
Projected Value (2034F)	US$ 271.5 Billion

Attribute	China
Market Value (2024E)	US$ 2.2 Billion
Growth Rate (2024 to 2034)	62% CAGR
Projected Value (2034F)	US$ 268.9 Billion

Category-wise Insights

Attribute	Infrastructure & Protocols
Segment Value (2024E)	US$ 11.8 Billion
Growth Rate (2024 to 2034)	60.9% CAGR
Projected Value (2034F)	US$ 1,370 Billion

Attribute	Public Cloud
Segment Value (2024E)	US$ 12.2 Billion
Growth Rate (2024 to 2034)	60.6% CAGR
Projected Value (2034F)	US$ 1,390 Billion