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).

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 ******.

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

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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

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.

The cryptocurrency market surpassed the barrier of $100 billion market capitalization in June 2017, after months of steady growth. Despite its increasing relevance in the financial world, a comprehensive analysis of the whole system is still lacking, as most studies have focused exclusively on the behaviour of one (Bitcoin) or few cryptocurrencies. Here, we consider the history of the entire market and analyse the behaviour of 1469 cryptocurrencies introduced between April 2013 and May 2017. We reveal that, while new cryptocurrencies appear and disappear continuously and their market capitalization is increasing (super-)exponentially, several statistical properties of the market have been stable for years. These include the number of active cryptocurrencies, market share distribution and the turnover of cryptocurrencies. Adopting an ecological perspective, we show that the so-called neutral model of evolution is able to reproduce a number of key empirical observations, despite its simplicity and the assumption of no selective advantage of one cryptocurrency over another. Our results shed light on the properties of the cryptocurrency market and establish a first formal link between ecological modelling and the study of this growing system. We anticipate they will spark further research in this direction.

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.

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.

Cryptocurrency Market size was valued at around USD 6.78 billion in 2024 and is projected to reach USD 15.03 billion by 2030 along with a CAGR of around 14.19%.

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

Our extensive historical database captures every significant market movement, from the earliest Bitcoin trades through today's crypto ecosystem, across 350+ global exchanges.

This rich historical dataset serves multiple critical functions: from enabling sophisticated strategy backtesting and long-term trend analysis to supporting academic research and trading pattern identification. Whether analyzing market volatility, studying price correlations, or conducting deep market research, our historical data provides the reliable foundation needed for meaningful cryptocurrency market analysis.

Why work with us?

Market Coverage & Data Types: - Real-time and historical data since 2010 (for chosen assets) - Full order book depth (L2/L3) - Tick-by-tick data - OHLCV across multiple timeframes - Market indexes (VWAP, PRIMKT) - Exchange rates with fiat pairs - Spot, futures, options, and perpetual contracts - Coverage of 90%+ global trading volume - Full Cryptocurrency Investor Data

Technical Excellence: - 99,9% uptime guarantee - Multiple delivery methods: REST, WebSocket, FIX, S3 - Standardized data format across exchanges - Ultra-low latency data streaming - Detailed documentation - Custom integration assistance

CoinAPI serves hundreds of institutions worldwide, from trading firms and hedge funds to research organizations and technology providers. Our commitment to data quality and technical excellence makes us the trusted choice for cryptocurrency market data needs.

When you need to analyze crypto market history, batch processing often beats streaming APIs. That's why we built the Flat Files S3 API - giving analysts and researchers direct access to structured historical cryptocurrency data without the integration complexity of traditional APIs.

Pull comprehensive historical data across 800+ cryptocurrencies and their trading pairs, delivered in clean, ready-to-use CSV formats that drop straight into your analysis tools. Whether you're building backtest environments, training machine learning models, or running complex market studies, our flat file approach gives you the flexibility to work with massive datasets efficiently.

Why work with us?

Market Coverage & Data Types: - Comprehensive historical data since 2010 (for chosen assets) - Comprehensive order book snapshots and updates - Trade-by-trade data

Technical Excellence: - 99,9% uptime guarantee - Standardized data format across exchanges - Flexible Integration - Detailed documentation - Scalable Architecture

CoinAPI serves hundreds of institutions worldwide, from trading firms and hedge funds to research organizations and technology providers. Our S3 delivery method easily integrates with your existing workflows, offering familiar access patterns, reliable downloads, and straightforward automation for your data team. Our commitment to data quality and technical excellence, combined with accessible delivery options, makes us the trusted choice for institutions that demand both comprehensive historical data and real-time market intelligence

The global Cryptocurrency or crypto market size reached USD 927.4 Million in 2021 and is expected to reach USD 2411.0 Million in 2030 registering a CAGR of 11.1%. Cryptocurrency market growth is primarily driven owing to increasing focus on mitigating financial crisis, increasing need for operationa...

The cryptocurrency market is set to grow from USD 7.08 billion to USD 23.54 billion by 2034, registering a strong CAGR of 14.20% during the forecast period.

Cryptocurrency Market By Size, Share, Trends, Opportunity, and Forecast, 2018-2028, Segmented By Type, By End User, By Region, Competition Forecast and Opportunities

Pages	110
Market Size
Forecast Market Size
CAGR
Fastest Growing Segment
Largest Market
Key Players

The size of the U.S. Cryptocurrency Market market was valued at USD 28.09 billion in 2023 and is projected to reach USD 62.10 billion by 2032, with an expected CAGR of 12.0 % during the forecast period. The U.S. Cryptocurrency market is escalating rapidly, driven by the increasing adoption of digital currencies, the proliferation of cryptocurrency exchanges, and the growing acceptance of blockchain technology. The market is further bolstered by government initiatives to regulate and enhance the accessibility of cryptocurrencies. Key players, such as Coinbase and Kraken, are investing heavily in infrastructure and security measures, fostering trust and confidence among investors. Technological advancements, including the introduction of faster and more secure blockchain networks, are also fueling growth.

Global Cryptocurrency market size is expected to reach $5.43 billion by 2029 at 17.3%, segmented as by type, bitcoin, ethereum, bitcoin cash, ripple, dashcoin, litecoin, other types

Asia Pacific Cryptocurrency Market Size, Share, Growth, Trends, and Forecast 2027, Segmented By Offering, By Process, By Type, By End User, By Country, Competition Forecast and Opportunities

Pages	80
Market Size
Forecast Market Size
CAGR
Fastest Growing Segment
Largest Market
Key Players

India Cryptocurrency Market was valued at USD 3.98 Billion in 2025 and is expected to reach USD 11.07 Billion by 2031 with a CAGR of 18.65%.

Pages	83
Market Size	2025: USD 3.98 Billion
Forecast Market Size	2031: USD 11.07 Billion
CAGR	2026-2031: 18.65%
Fastest Growing Segment	Software
Largest Market	South
Key Players	1. Intel Corporation India Private Limited 2. NVIDIA Corporation 3. Microsoft Corporation India Pvt Ltd 4. Xilinx India Private Limited 5. Advanced Microdevices Pvt. Ltd. 6. Amazon India Pvt Ltd. 7. Unocoin 8. BitGo 9. Coinbase 10. Ripple Labs Private Limited

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