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.

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 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

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.

Snapshot img

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

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 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).

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.

Context

Since the launch of Bitcoin in 2008, hundreds of similar projects based on the blockchain technology have emerged. We call these cryptocurrencies (also coins or cryptos in the Internet slang). Some are extremely valuable nowadays, and others may have the potential to become extremely valuable in the future1. In fact, on the 6th of December of 2017, Bitcoin has a market capitalization above $200 billion.

Content

The cryptocurrency market is exceptionally volatile2 and any money you put in might disappear into thin air. Cryptocurrencies mentioned here might be scams similar to Ponzi Schemes or have many other issues (overvaluation, technical, etc.). Please do not mistake this for investment advice. *

2 Update on March 2020: Well, it turned out to be volatile indeed :D

That said, let's get to business. We will start with a CSV we conveniently downloaded on the 6th of December of 2017 using the coinmarketcap API (NOTE: The public API went private in 2020 and is no longer available) named datasets/coinmarketcap_06122017.csv.

Acknowledgements

Data set is from DataCamp

This dataset contains historical prices as tracked by www.coinmarketcap.com for the top 100 cryptocurrencies by market capitalization as of September 22, 2017, and is current to that date.

Each CSV file is named by its cryptocurrency as named on www.coinmarketcap.com, with the sole exception of "I-O Coin" in place of I/O Coin for ease of importing.

Also accompanying the zip of the top 100 CSVs is a CSV named "Top 100.csv", which is a list of the top 100, ordered 1 to 100 with Bitcoin at the beginning and GridCoin at the end. The second row of this CSV is the Market Cap as of September 22, 2017.

Row descriptions - Date, string, e.g. "Sep 22, 2017" - Open, float (2 decimal places), e.g. 1234.00 - High, float (2 decimal places), e.g. 1234.00 - Low, float (2 decimal places), e.g. 1234.00 - Close, float (2 decimal places), e.g. 1234.00 - Volume [traded in 24 hours], string, e.g. "1,234,567,890" - Market Cap [Market capitalization], string, e.g. "1,234,567,890"

This is my first dataset and I would greatly appreciate your feedback. Thanks and enjoy!

The global cryptocurrency market is projected to ascend to US$ 13 billion by the end of 2034, up from US$ 3.8 billion in 2024. Worldwide revenue has been calculated to increase at a high-value CAGR of 13% from 2024 to 2034.

Report Attribute	Detail
Cryptocurrency Market Size (2024E)	US$ 3.8 Billion
Projected Market Value (2034F)	US$ 13 Billion
Global Market Growth Rate (2024 to 2034)	13% CAGR
China Market Value (2034F)	US$ 1.4 Billion
Canada Market Growth Rate (2024 to 2034)	13.5% CAGR
North America Market Share (2024E)	23.9%
East Asia Market Value (2034F)	US$ 3 Billion
Key Companies Profiled	Intel Corporation; Microsoft Corporation; NVIDIA Corporation; BitFury Group Limited; Alphapoint Corporation; Advanced Micro Devices, Inc.; Xilinx Inc.; Bingo; Ripple; BTL Group Ltd.

Country-wise Insights

Attribute	United States
Market Value (2024E)	US$ 400 Million
Growth Rate (2024 to 2034)	13.5% CAGR
Projected Value (2034F)	US$ 1.4 Billion

Attribute	China
Market Value (2024E)	US$ 400 Million
Growth Rate (2024 to 2034)	13% CAGR
Projected Value (2034F)	US$ 1.4 Billion

Category-wise Insights

Attribute	Hardware
Segment Value (2024E)	US$ 2.9 Billion
Growth Rate (2024 to 2034)	13.7% CAGR
Projected Value (2034F)	US$ 10.4 Billion

Attribute	Bitcoin
Segment Value (2024E)	US$ 2.4 Billion
Growth Rate (2024 to 2034)	12.2% CAGR
Projected Value (2034F)	US$ 7.5 Billion

This dataset is about cryptos. It has 25 rows. It features 3 columns: crypto symbol, and market cap. It is 100% filled with non-null values.

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

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.

This horizontal bar chart displays market cap ($) by max supply using the aggregation sum. The data is about cryptos.

Context

Things like Block chain, Bitcoin, Bitcoin cash, Ethereum, Ripple etc are constantly coming in the news articles I read. So I wanted to understand more about it and this post helped me get started. Once the basics are done, the data scientist inside me started raising questions like:

1. How many cryptocurrencies are there and what are their prices and valuations?
2. Why is there a sudden surge in the interest in recent days?

So what next? Now that we have the price data, I wanted to dig a little more about the factors affecting the price of coins. I started of with Bitcoin and there are quite a few parameters which affect the price of Bitcoin. Thanks to Blockchain Info, I was able to get quite a few parameters on once in two day basis.

This will help understand the other factors related to Bitcoin price and also help one make future predictions in a better way than just using the historical price.

Content

The dataset has one csv file for each currency. Price history is available on a daily basis from April 28, 2013. This dataset has the historical price information of some of the top crypto currencies by market capitalization.

• Date : date of observation
• Open : Opening price on the given day
• High : Highest price on the given day
• Low : Lowest price on the given day
• Close : Closing price on the given day
• Volume : Volume of transactions on the given day
• Market Cap : Market capitalization in USD

Acknowledgements

This data is taken from coinmarketcap and it is free to use the data.

Cover Image : Photo by Thomas Malama on Unsplash

Inspiration

Some of the questions which could be inferred from this dataset are:

1. How did the historical prices / market capitalizations of various currencies change over time?
2. Predicting the future price of the currencies
3. Which currencies are more volatile and which ones are more stable?
4. How does the price fluctuations of currencies correlate with each other?
5. Seasonal trend in the price fluctuations

The following dataset contains the attributes:

1. Date: Specific date to be observed for the corresponding price.
2. Open: The opening price for the day
3. High: The maximum price it has touched for the day
4. Low: The minimum price it has touched for the day
5. Close: The closing price for the day
6. percent_change_24h: Percentage change for the last 24hours
7. Volume: Volume of Bitcoin traded at the date
8. Market Cap: Market Value of traded Bitcoin

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.

Daily cryptocurrency data (transaction count, on-chain transaction volume, value of created coins, price, market cap, and exchange volume) in CSV format. The data sample stretches back to December 2013. Daily on-chain transaction volume is calculated as the sum of all transaction outputs belonging to the blocks mined on the given day. “Change” outputs are not included. Transaction count figure doesn’t include coinbase transactions. Zcash figures for on-chain volume and transaction count reflect data collected for transparent transactions only. In the last month, 10.5% (11/18/17) of ZEC transactions were shielded, and these are excluded from the analysis due to their private nature. Thus transaction volume figures in reality are higher than the estimate presented here, and NVT and exchange to transaction value lower. Data on shielded and transparent transactions can be found here and here. Decred data doesn’t include tickets and voting transactions. Monero transaction volume is impossible to calculate due to RingCT which hides transaction amounts.