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.

Description This dataset contains the Pagerank values and rankings of Bitcoin addresses and transaction IDs (TXID). It contains a total of 1.608.748.675 addresses or TXIDs. Part 1 is available at https://zenodo.org/record/6052811 File format The dataset is compressed with bzip2. It can be uncompressed using the command bunzip2. The dataset is divided into multiple files since it was large. The files are space-delimited plain text files and have the following five fields: Label: A alphanumeric Bitcoin address (e.g. 1DzTCMmWABEDM1rYFL1RgdLyE59jXMzEHV) or a 64 character hexadecimal transaction ID (e.g. 000000000fdf0c619cd8e0d512c7e2c0da5a5808e60f12f1e0d01522d2986a51) Type: String Label type: It's value is 0 if the label is transaction ID and 1 if the label is a Bitcoin address. Type: Integer Rank: Unique Pagerank rank where the ties (addresses having the same Pagerank value) are resolved by sorting the addresses. Type: Integer Rank with ties: Pagerank rank where the ties (addresses having the same Pagerank value) have the same rank. Type: Integer Pagerank value: Pagerank of the address and transaction IDs calculated using Pagerank algorithm. Type: Floating-point number Sample lines: 000000000fdf0c619cd8e0d512c7e2c0da5a5808e60f12f1e0d01522d2986a51 0 427225664 266976712 0.979246 1DzTCMmWABEDM1rYFL1RgdLyE59jXMzEHV 1 1114666798 508037940 0.877961 Dataset Generation The Bitcoin transactions between blocks 0 (mined on 03.01.2009) and 713.999 (mined on 13.12.2021) are extracted. A transaction graph is constructed, where Bitcoin addresses and transaction IDs are nodes of the graph and the transaction inputs and outputs 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 Ethereum Blockchain.

Step into the fascinating realm of Zcash 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.

Bitcoin is the first implementation of a technology that has become known as a 'public permissionless' blockchain. Such systems allow public read/write access to an append-only blockchain database without the need for any mediating central authority. Instead they guarantee access, security and protocol conformity through an elegant combination of cryptographic assurances and game theoretic economic incentives. Not until the advent of the Bitcoin blockchain has such a trusted, transparent, comprehensive and granular data set of digital economic behaviours been available for public network analysis. In this article, by translating the cumbersome binary data structure of the Bitcoin blockchain into a high fidelity graph model, we demonstrate through various analyses the often overlooked social and econometric benefits of employing such a novel open data architecture. Specifically we show (a) how repeated patterns of transaction behaviours can be revealed to link user activity across t...

Context

Dogecoin is an open source peer-to-peer digital currency, favored by Shiba Inus worldwide. It is qualitatively more fun while being technically nearly identical to its close relative Bitcoin. This dataset contains the blockchain data in their entirety, pre-processed to be human-friendly and to support common use cases such as auditing, investigating, and researching the economic and financial properties of the system.

Content

You can access the data from BigQuery in your notebook with bigquery-public-data.crypto_dogecoin 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_dogecoin.[TABLENAME].

Acknowledgements

This dataset wouldn't be possible without the help of BigQuery and all of their contributions to public data.

Intelligent Transport System (ITS) offers inter-vehicle communication, safe driving, road condition updates, and intelligent traffic management. This research intends to propose a novel decentralized “BlockAuth” architecture for vehicles, authentication, and authorization, traveling across the border. It is required because the existing architects rely on a single Trusted Authority (TA) for issuing certifications, which can jeopardize privacy and system integrity. Similarly, the centralized TA, if failed, can cause the whole system to collapse. Furthermore, a unique “Proof of Authenticity and Integrity” process is proposed, redirecting drivers/vehicles to their home country for authentication, ensuring the security of their credentials. Implemented with Hyperledger Fabric, BlockAuth ensures secure vehicle authentication and authorization with minimal computational overhead, under 2%. Furthermore, it opens up global access, enforces the principles of separation of duty and least privilege, and reinforces resilience via decentralization and automation.

Blockchain in the Sports Market is segmented by source type (media rights, gate/ticket sales revenues, merchandising, sponsorships) and by geography ((North America, Europe, Asia Pacific, Latin America, Middle East, and Africa). The market sizes and forecasts are provided in value (USD million) for all the above segments.

This dataset stores part of the Bitcoin blockchain. Blocks are sampled every month and information about transactions and blocks are separated to save disk space and avoid redundancies. This dataset is used in the work presented by Tedeschi et al.[1], in order to generate a machine learning model that predicts transaction inclusion. In each month of analysis, there is a block folder and a transaction folder. Information can be merged runtime through 'bhash' attribute (block hash). [1] https://doi.org/10.1145/3528669

This statistic displays the global automotive blockchain market size between 2017 and 2026. In 2018, the global automotive blockchain market was estimated to be sized at around **** billion U.S. dollars.

The blockchain payment system market is experiencing robust growth, driven by increasing demand for secure, transparent, and efficient transaction processing across various sectors. The market's expansion is fueled by the rising adoption of cryptocurrencies, the increasing need for cross-border payment solutions, and the growing concerns regarding data privacy and security in traditional payment systems. Large enterprises are leading the adoption, leveraging blockchain technology to streamline their payment operations and reduce processing costs. However, SMEs are also showing increasing interest, particularly those involved in international trade, where blockchain's capabilities for faster and cheaper cross-border payments are highly advantageous. The cloud-based segment dominates the market due to its scalability, accessibility, and cost-effectiveness compared to on-premise solutions. While technological advancements and regulatory clarity continue to propel growth, challenges such as scalability issues, regulatory uncertainty in certain regions, and the volatility of cryptocurrencies remain hurdles to overcome. The market is witnessing a surge in strategic partnerships and collaborations between technology providers, financial institutions, and regulatory bodies, signaling a concerted effort to address these challenges and accelerate mainstream adoption. Looking forward, the market is poised for significant expansion, driven by the development of innovative solutions like decentralized finance (DeFi) applications and the integration of blockchain technology into existing payment infrastructures. The Asia-Pacific region is expected to witness substantial growth due to the high adoption rate of mobile payments and the burgeoning fintech sector in countries like China and India. North America and Europe will continue to be significant markets, driven by strong technological infrastructure and regulatory frameworks. The ongoing development of interoperability standards and the increasing focus on security and regulatory compliance will further contribute to market growth. However, the success of the blockchain payment system market will depend on addressing challenges related to scalability, interoperability, regulatory clarity, and educating users about the technology's benefits and security features. The competitive landscape is dynamic, with both established players and emerging startups vying for market share.

In 2024, WAX was the top gaming chain based on transactions count. The blockchain generated about **** billion transactions, mainly driven by decentralized gaming app (dapp) Alien Worlds. Aptos was ranked second with *** million transactions in the measured period.

Step into the fascinating realm of Dash 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.

The Automotive Blockchain Market Report is Segmented by Application (Manufacturing, Supply Chain and Logistics, and More), End User (OEMs, Tier-1 Suppliers, and More), Blockchain Type (Public Blockchain, Private/Permissioned Blockchain, and More), Mobility Model (Personal Mobility, Shared Mobility, and More), Vehicle Type (Passenger Cars, and More), and Geography. The Market Forecasts are Provided in Terms of Value (USD).

Comprehensive financial and analytical metrics for Provenance Blockchain, including key performance indicators, market data, and ecosystem analytics.

The Blockchain Insurance Market Report is Segmented by Deployment (On-Premise and Cloud-Based), Blockchain Type (Public, Private, and Consortium/Hybrid), Application (Governance, Risk and Compliance [GRC], Smart Contract and Parametric Insurance, Payments and Financial Management, Identity Management and Fraud Detectionzand More), Enterprise Size (Large Enterprises and Small and Medium Enterprises), and Geography.

Description:

📊 Top 100 Cryptocurrencies (2020–2025) – Daily Price Dataset

Dive into a comprehensive dataset featuring daily OHLC (Open, High, Low, Close) prices for the top 100 cryptocurrencies by market cap over the past 5 years.

📅 Time Range: 2020 to 2025

🪙 Assets: 100 cryptocurrencies (e.g., BTCUSDT, ETHUSDT)

📈 Fields: Date, Open, High, Low, Close, Blockchain Network

🧾 Format: CSV

This dataset is designed to support various projects, including:

📉 Time series forecasting and price prediction

🧠 AI/ML-based trading strategy development

📰 News sentiment correlation and impact analysis

📊 Portfolio optimization based on historical trends

💡 Perfect for data scientists, machine learning enthusiasts, and anyone exploring crypto market behavior!

Blockchain AI Market reached USD 8.3 billion in 2022, and expected to reach USD 335.8 billion in 2030, exhibiting a CAGR of 58.9% from 2023-2030

Web 3. 0 Blockchain Market is Segmented by Blockchain Type (Public, Private, Hybrid, and Consortium), Application/Use Case (Decentralised Finance, Gaming and Metaverse, and More), End-User Industry (BFSI, Retail and E-Commerce, and More), Component (Platforms / Protocol Infrastructure, and More), Enterprise Size (Large Enterprises, and More), and Geography. The Market Forecasts are Provided in Terms of Value (USD).

The blockchain technology market, valued at $8,608.3 million in 2025, is experiencing robust growth, projected to expand at a compound annual growth rate (CAGR) of 13.7% from 2025 to 2033. This expansion is driven by several key factors. The increasing adoption of blockchain across diverse sectors, including BFSI (Banking, Financial Services, and Insurance), public sector, healthcare, and media & entertainment, is a major catalyst. Cloud-based blockchain solutions are gaining significant traction due to their scalability, cost-effectiveness, and accessibility, outpacing on-premise deployments. Furthermore, the growing need for enhanced security, transparency, and data integrity across industries fuels demand for blockchain-based solutions. Regulatory clarity and increasing government support in certain regions are also contributing to market expansion. Competitive pressures among major players like IBM, Amazon AWS, Microsoft, and others are fostering innovation and driving down costs, making blockchain technology more accessible to a wider range of businesses. Despite the significant growth potential, the market faces certain challenges. Integration complexities, scalability limitations in some blockchain platforms, and a lack of skilled professionals capable of implementing and managing blockchain systems can hinder wider adoption. Moreover, concerns regarding data privacy, regulatory uncertainty in some jurisdictions, and the volatile nature of cryptocurrency markets can pose obstacles to sustained market growth. However, ongoing technological advancements, the development of interoperable blockchain platforms, and improved educational initiatives aimed at fostering blockchain expertise are gradually mitigating these challenges and paving the way for continued market expansion. The market's segmentation across various applications and deployment models suggests a diverse and expanding ecosystem poised for significant future growth.