It is estimated that the cumulative market cap of cryptocurrencies increased in early 2023 after the downfall in November 2022 due to FTX. That value declined in the summer of 2023, however, as international uncertainty grew over a potential recession. Bitcoin's market cap comprised the majority of the overall market capitalization. What is market cap? Market capitalization is a financial measure typically used for publicly traded firms, computed by multiplying the share price by the number of outstanding shares. However, cryptocurrency analysts calculate it as the price of the virtual currencies times the number of coins in the market. This gives cryptocurrency investors an idea of the overall market size, and watching the evolution of the measure tells how much money is flowing in or out of each cryptocurrency. Cryptocurrency as an investment The price of Bitcoin has been erratic, and most other cryptocurrencies follow its larger price swings. This volatility attracts investors who hope to buy when the price is low and sell at its peak, turning a profit. However, this does little for price stability. As such, few firms accept payment in cryptocurrencies. As of June 25, 2025, the cumulative market cap of cryptocurrencies reached a value of ******.

By 2025, the Bitcoin market cap had grown to over ***** billion USD as the cryptocurrency kept growing. Market capitalization is calculated by multiplying the total number of Bitcoins in circulation by the Bitcoin price. The Bitcoin market capitalization increased from approximately *** billion U.S. dollars in 2013 to several times this amount since its surge in popularity. Dominance The Bitcoin market cap takes up a significant portion of the overall cryptocurrency market cap. This is referred to as "dominance". Within the crypto world, this so-called "dominance" ratio is one of the oldest and most investigated metrics available. It measures the coin's market cap relative to the overall crypto market — effectively showing how strong Bitcoin compared to all the other cryptocurrencies that are not BTC, called "altcoins". The Bitcoin dominance was above ** percent. Maximum supply and scarcity Bitcoin is unusual from other cryptocurrencies in that its maximum supply is getting closer. By 2025, well over ** million out of all 21 million possible Bitcoin had been created. Bitcoin's supply is expected to reach its maximum around the year 2140, likely making mining more energy-intensive.

Bitcoin's role within the overall cryptocurrency market picked up in 2024, whilst Ethereum lost terrain to currencies like Solana. This according to a metric that compares a coin's market cap relative to the overall crypto market called "dominance". This ratio shows how strong, for example, Bitcoin is compared to all the other cryptocurrencies. A comparison between Bitcoin and multiple other coins reveals that the shape of the crypto market has changed dramatically over time. Bitcoin typically has a dominance of over ** percent, so the interest for analysts lies more in whether Bitcoin's market share has gone up or down when compared to altcoins.

A league table of the 120 cryptocurrencies with the highest market cap reveals how diverse each crypto is and potentially how much risk is involved when investing in one. Bitcoin (BTC), for instance, had a so-called "high cap" - a market cap worth more than ** billion U.S. dollars - indicating this crypto project has a certain track record or, at the very least, is considered a major player in the cryptocurrency space. This is different in Decentralize Finance (DeFi), where Bitcoin is only a relatively new player. A concentrated market The number of existing cryptocurrencies is several thousands, even if most have a limited significance. Indeed, Bitcoin and Ethereum account for nearly ** percent of the entire crypto market capitalization. As crypto is relatively easy to create, the range of projects varies significantly - from improving payments to solving real-world issues, but also meme coins and more speculative investments. Crypto is not considered a payment method While often talked about as an investment vehicle, cryptocurrencies have not yet established a clear use case in day-to-day life. Central bankers found that usefulness of crypto in domestic payments or remittances to be negligible. A forecast for the world's main online payment methods took a similar stance: It predicts that cryptocurrency would only take up *** percent of total transaction value by 2027.

The dataset used in this research is a historical record of Bitcoin, Ethereum, and Litecoin’s daily trading activity, containing essential financial metrics for each date. This sample includes the following columns: Date: The specific day of each recorded entry, showing a continuous timeline. Open: The price of currencies at the start of the trading day. High: The highest price of currencies reached during the day. Low: The lowest price of currencies traded throughout the day. Close: The closing price of the currencies at the end of the trading day. Volume: The total trading volume, indicating the number of currencies traded that day in units. Market Cap: The total market capitalization of currencies, calculated as the total supply multiplied by the closing price.

The Cryptocurrency Prices dataset includes prices and market capitalization data for popular cryptocurrencies, such as Bitcoin, Ethereum, Litecoin, and Ripple. The data covers daily prices and market capitalization from the inception of each cryptocurrency up to the present day.

The dataset is well-suited for exploratory data analysis, time series analysis, and predictive modeling tasks related to cryptocurrencies. It can be used to examine historical price trends, correlations between different cryptocurrencies, and the overall market capitalization of the cryptocurrency market. Additionally, the data can be used to build models that predict future prices or market capitalization> of specific cryptocurrencies.

Each row of the dataset represents a single day of trading for a particular cryptocurrency. The columns of the dataset include the following:

• Cryptocurrency Name
• Open Price: the opening price of the cryptocurrency on the trading day
• Volume: the volume of the cryptocurrency traded on the trading day
• Market Cap: the total market capitalization of the cryptocurrency on the trading day
• CMC Rank
• Dominance
• Year till date Price Change Percentage

The dataset includes data for multiple cryptocurrencies, such as Bitcoin, Ethereum, Litecoin, Ripple, and many others. Each cryptocurrency has its own set of data columns in the dataset.

This dataset can be helpful for data analysts, data scientists, traders, investors, and anyone interested in exploring the cryptocurrency market. It is intended to facilitate research and analysis of the market and the underlying factors affecting various cryptocurrency prices and market capitalization.

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Cryptocurrency Market Size 2025-2029

The cryptocurrency market size is forecast to increase by USD 39.75 billion, at a CAGR of 16.7% between 2024 and 2029.

The Cryptocurrency Market is segmented by distribution channel (Sales Personnel, Insurance Agencies), type (Life, Non-life), mode (Offline, Online), end-user (Corporate, Individual), and geography (North America: US, Canada; Europe: France, Germany, UK; APAC: Australia, China, India, Japan, South Korea; Rest of World). This segmentation reflects the market's diversity, driven by increasing adoption of Online modes for Individual end-users, particularly in APAC regions like India and South Korea, growing demand for Non-life cryptocurrency products through Insurance Agencies, and Corporate engagement via Sales Personnel in North America and Europe, catering to varied financial and investment needs across global markets.
The market is experiencing significant growth, driven by increasing investment in digital assets and the acceptance of cryptocurrency by retailers. This trend signifies a shift in the financial landscape, as more individuals and businesses recognize the potential benefits of decentralized currencies. However, the market's volatility poses a considerable challenge. The unpredictable value fluctuations can create uncertainty for investors and businesses alike, necessitating careful strategic planning and risk management. Companies seeking to capitalize on this market's opportunities must stay informed of the latest trends and be prepared to navigate the inherent risks. E-commerce, luxury goods, insurance, and even cryptocurrency debit cards are increasingly accepting digital currencies as payment methods.
Adopting innovative technologies, such as blockchain and smart contracts, can help mitigate risks and provide a competitive edge. Additionally, collaborations and partnerships with established financial institutions and retailers can further solidify a company's position in the market. Overall, the market presents both opportunities and challenges, requiring strategic agility and a forward-thinking approach.

What will be the Size of the Cryptocurrency Market during the forecast period?

Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
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The market continues to evolve, with dynamic interplays between decentralized storage solutions, hardware wallets, and crypto wallets shaping the landscape. Merchant adoption is on the rise, driving up market capitalization and pushing the boundaries of cryptocurrency security. Proof-of-work (POW) and hashing algorithms underpin the foundations of this decentralized economy, while cryptocurrency derivatives and decentralized finance (DeFi) offer new avenues for portfolio diversification. Open-source software fuels the innovation, with smart contracts paving the way for automated transactions. Cryptocurrency trading is a constant activity, with options contracts, futures contracts, and other instruments adding complexity. The integration of decentralized exchanges (DEXs) and yield farming further expands the market's reach.

Cryptocurrency's applications extend beyond digital assets, touching upon privacy-enhancing technologies, philanthropy, community development, and more. The integration of decentralized governance, consensus mechanisms, and decentralized identity adds layers of complexity and potential. Risk management is a critical component, with cryptocurrency education and security audits essential for investors. The emergence of privacy coins, non-fungible tokens (NFTs), and decentralized applications (dApps) adds to the market's diversity. The market is a dynamic, ever-evolving ecosystem, shaped by ongoing activities and emerging patterns. Quantum computing and regulatory developments pose new challenges, while the integration of cryptocurrency payments, cold storage, and trading volume continues to drive growth.

The future of this decentralized economy is bright, with continuous innovation and adaptation shaping its trajectory.

How is this Cryptocurrency Industry segmented?

The cryptocurrency industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Type

  Bitcoin
  Ethereum
  Others
  Ripple
  Bitcoin Cash
  Cardano


Component

  Hardware
  Software


Process

  Mining
  Transaction
  Mining
  Transaction


End-Use

  Trading
  E-commerce and Retail
  Peer-to-Peer Payment
  Remittance
  Trading
  E-commerce and Retail
  Peer-to-Peer Payment
  Remittance


Geography

  North America

    US
    Canada


  Europe

    Germany
    Italy
    Switzerland
    The Netherlands
    UK


  APAC

    China
    Japan


  South America

    Br

Decentralized finance or DeFi became less important within the overall crypto market, after its market share declined in 2022. This decline continued over the course of that year, when the DeFi TLV - total value locked, essentially the market size - decreased more and more. What exactly is DeFi, however? Whilst there is no general consensus what this market entails exactly, it generally refers to financial applications built atop Ethereum (ETH) especially. Applications can consist of decentralized exchanges or DEXs, such as Uniswap or PancakeSwap, or crypto protocols regarding lending and borrowing, such as Aave. These applications, on their turn, are powered by their own cryptocurrencies: The Uniswap DEX uses the Uniswap token (UNI) for governance. Nevertheless, the price development of ETH was heavily influenced by the growing popularity of DeFi.

The cryptocurrency market size is predicted to reach $3.33 billion in 2024 to $11.07 billion by 2035, growing at a CAGR of 11.54% from 2024 to 2035

The share of stablecoins within the overall crypto market was below that of Ethereum (ETH) and Bitcoin (BTC). This would mark a significant rise of the digital asset, as earlier calculations from December 2021 indicated a stablecoin market share of ***** percent. What may play a part in these figures is that "regular" cryptocurrencies such as Ethereum saw a significant decline in price between May and June 2022 - leading to their market cap to decline as well. Fiat-backed stablecoins like Tether, USD Coin and Binance USD, on the other hand, were not as impacted. That said, the crash of algorithmic stablecoin TerraUSD and its token Terra (LUNA) led to much uncertainty on whether non-fiat backed stablecoins could work.

The Cryptocurrency Market Report Segments the Industry by Transaction Purpose (Payments & Remittances, Trading and Investment Transfers, Decentralized Finance (DeFi) Protocol Flows, and More), by User Type (Retail and Institutional), by Cryptocurrency (BTC, ETH, Ripple, and More), and by Geography (North America, South America, Europe, and More). The Market Forecasts are Provided in Terms of Value (USD).

Blockchain data dashboard: Cryptex Dashboard

Introduction

Ethereum Statistics: Ethereum, the world’s second-largest blockchain platform by market capitalization, continues to evolve rapidly in 2024. As of April 2024, Ethereum's market cap stands at over USD 400 billion, maintaining its position just behind Bitcoin. The network processes more than 1 million transactions daily, supported by over 600,000 active addresses. With the successful rollout of Ethereum’s Dencun upgrade in March 2024, transaction fees have dropped significantly, now averaging under USD 0.10 per transaction for Layer 2 solutions.

Ethereum's staking system has also grown, with over 30 million ETH staked on the Beacon Chain, valued at approximately USD 96 billion. Additionally, Ethereum maintains its dominance in the decentralized finance (DeFi) sector, with a total value locked (TVL) of over USD 50 billion across its protocols. The NFT market, built heavily on Ethereum, continues to contribute to its growth, with over USD 1.2 billion in NFT transactions processed in Q1 2024 alone. These figures reflect Ethereum’s sustained innovation and adoption across diverse blockchain use cases.

The article presents an in-depth evaluation of Ethereum statistics, citing relevant data and trends that shaped the journey.

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:

Dataset Statistics Table:

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.

Investment cannot be separated from the level of return and risk inherent in assets. Today, investment instruments are not only stocks, currencies, bonds, deposits, savings and others. The beginning of Bitcoin’s emergence as a pioneer of Cryptocurrency was in 2009. Crypto assets are emerging rapidly and are accompanied by an increase in the number of transactions each period. The growth in the market capitalization value of crypto assets has also grown significantly. During COVID-19, many investments, such as stocks, experienced a decline due to market uncertainty. The results of this study prove that with the existence of COVID-19, the crypto market is not affected. Crypto is an attraction characterized by a high degree of fluctuation, and there is no limit to transactions in the open market 24 hours to trade. The Cryptocurrency market is currently a market that can provide short-term benefits to risk-taking investors, while the market in other investment instruments is declining. 78% of the value capitalization of the top 200 cryptocurrencies is represented by the top 9 cryptos used as samples in this study. So that if there is a decrease in these 9 cryptos, it will also have an impact on the overall capitalization value of crypto in the market. The future development of Cryptocurrencies will no longer be digital assets traded with many speculators who can control prices, it can even be digital money that can be used worldwide without any transaction fees and is controlled on a blockchain system. (2023-01-12)

This dataset contains historical price data for Bitcoin (BTC) against the U.S. Dollar (USD), spanning from June 2010 to November 2024. The data is organized on a daily basis and includes key market metrics such as the opening price, closing price, high, low, volume, and market capitalization for each day.

Columns: The dataset consists of the following columns:

Date: The date of the recorded data point (format: YYYY-MM-DD). Open: The opening price of Bitcoin on that day. High: The highest price Bitcoin reached on that day. Low: The lowest price Bitcoin reached on that day. Close: The closing price of Bitcoin on that day. Volume: The total trading volume of Bitcoin during that day. Market Cap: The total market capitalization of Bitcoin on that day (calculated by multiplying the closing price by the circulating supply of Bitcoin at the time). Source: The data is sourced from Yahoo Finance.

Time Period: The data spans from June 2010, when Bitcoin first began trading, to November 2024. This provides a comprehensive view of Bitcoin’s historical price movements, from its early days of trading at a fraction of a cent to its more recent valuation in the thousands of dollars.

Use Cases:

This dataset is valuable for a variety of purposes, including:

Time Series Analysis: Analyze Bitcoin price movements, identify trends, and develop predictive models for future prices. Financial Modeling: Use the dataset to assess Bitcoin as an asset class, model its volatility, or simulate investment strategies. Machine Learning: Train machine learning algorithms to forecast Bitcoin’s future price or predict market trends based on historical data. Economic Research: Study the impact of global events on Bitcoin’s price, such as regulatory changes, technological developments, or macroeconomic factors. Visualization: Generate visualizations of Bitcoin price trends, trading volume, and market capitalization over time.

Bitcoin and Ethereum together made up more than **** of the crypto market in 2024, with newer coins losing out. One example is Polkadot or DOT, an altcoin that went live in August 2020 but, at first, increasingly attracting interest in 2021 as it was considered a viable competitor to Ethereum's blockchain structure. Indeed, six months after its initial release, the value of Polkadot was already *** times higher than it during its launch. By 2024, the market position of Ethereum had not changed that much.

Content

This is a dataset of over 50 Cryptocurrencies' historical OHLC (Open High Low Close) data. The date range is from May 2013 to October 2022 on a daily basis. The prices are represented in USD or $. The file format is CSV which is tabular and faster to load.

The data was scraped and cleaned from the Coin Market Cap website using automated scripts.

Usage

The dataset can be used for:

• Time Series Analysis for different cryptocurrencies based on the date
• Forecasting the prices of different cryptocurrencies in the future
• Performing Exploratory Data Analysis on the dataset
• Any other task that you can think of. Feel free to discuss!

Column Description

• open: Opening price on that particular date (UTC time)
• high: Highest price hit on that particular date (UTC time)
• low: Lowest price hit on that particular date (UTC time)
• close: Closing price on that particular date (UTC time)
• volume: Quantity of asset bought or sold, displayed in base currency
• marketCap: The total value of all the coins that have been mined. It's calculated by multiplying the number of coins in circulation by the current market price of a single coin
• timestamp: UTC timestamp of the day considered
• crypto_name: Name of the cryptocurrency
• date: timestamp converted to date

Acknowledgment

Image credits: Information Age

ChainCatcher message, based on SoSoValue data, yesterday (Eastern Time, July 21) the total net inflow of Ethereum spot ETFs was $297 million.The Ethereum spot ETF with the highest single-day net inflow yesterday was the Fidelity ETF FETH, with a single-day net inflow of $127 million. Currently, FETH's total historical net inflow has reached $2.082 billion.The second was the Blackrock ETF ETHA, with a single-day net inflow of $102 million. Currently, ETHA's total historical net inflow has reached $8.157 billion.The Ethereum spot ETF with the highest single-day net outflow yesterday was the 21Shares ETF CETH, with a single-day net outflow of $374,100. Currently, CETH's total historical net inflow has reached $2.821 million.As of the time of publication, the total net asset value of Ethereum spot ETFs is $19.595 billion, with an ETF net asset ratio (market cap as a percentage of total Ethereum market cap) of 4.32%. The cumulative historical net inflow has reached $7.785 billion.

The implementation of statistical techniques in on-line surveillance of financial markets has been frequently studied more recently. As a novel approach, statistical control charts which are famous tools for monitoring industrial processes, have been applied in various financial applications in the last three decades. The aim of this study is to propose a novel application of control charts called profile monitoring in the surveillance of the cryptocurrency markets. In this way, a new control chart is proposed to monitor the price variation of a pair of two most famous cryptocurrencies i.e., Bitcoin (BTC) and Ethereum (ETH). Parameter estimation, tuning and sensitivity analysis are conducted assuming that the random explanatory variable follows a symmetric normal distribution. The triggered signals from the proposed method are interpreted to convert the BTC and ETH at proper times to increase their total value. Hence, the proposed method could be considered a financial indicator so that its signal can lead to a tangible increase of the pair of assets. The performance of the proposed method is investigated through different parameter adjustments and compared with some common technical indicators under a real data set. The results show the acceptable and superior performance of the proposed method.