AI Trading Bot Statistics 2026: Market, Platforms and MEV Data

Trading bots now drive at least half of all Solana DEX volume, climbing as high as 70% on the busiest days, according to market data summaries from CoinGecko and Backpack Exchange. The figure is one signal of how completely automated systems have taken over the trade execution layer, both on traditional venues and inside crypto’s most active networks.

Key Takeaways

• The global algorithmic trading market reached $57.65 billion in 2025 and is projected to hit $150.36 billion by 2033 at a 12.73% CAGR, per multi-source synthesis citing JPMorgan and industry analysts.
• Approximately 78% of all US equity trades were executed through algorithmic systems by 2024, with JPMorgan’s 2023 estimate placing the share between 60-73%.
• 3Commas serves more than 500,000 users worldwide, while Cryptohopper has grown to over 100,000 users, according to platform-published figures.
• Ethereum generated approximately $129 million in MEV-related revenue during Q2 2025, with validators capturing up to 72% of extracted value, according to The Block, citing Flashbots data.
• Sandwich attacks cost traders roughly $60 million in annual losses on Ethereum, with monthly extraction falling from nearly $10 million in late 2024 to about $2.5 million by October 2025, according to EigenPhi data summarized in academic research.
• The FTC documented $5.7 billion in 2024 investment scam losses, a 24% year-over-year increase, with crypto-paid scams reaching $863 million in the first three quarters of 2025 alone.
• The October 10, 2025 flash crash liquidated more than $19 billion in leveraged positions during a Binance outage that ran from 20:50 to 22:00 UTC, with the exchange later allocating $283 million in user compensation.

Editor’s Choice

• Pionex processes more than $60 billion in monthly trading volume, serves 5 million users globally, and offers 16+ built-in bots without subscription fees.
• Trojan, the largest Telegram trading bot, has logged nearly $24.2 billion in lifetime volume across over 2 million total users and roughly 20,000 daily active traders.
• The global crypto trading bot market reached $47.43 billion in 2025 and is projected to hit $54.07 billion in 2026, according to Business Research Insights.
• QuantConnect serves more than 275,000 quants and engineers, executing $5 billion in notional monthly trading volume across stocks, options, ETFs, and crypto.
• Citadel LLC held the largest single-firm market share in high-frequency trading at 19% by 2025, with the global high-frequency trading market expected to grow to over $11.05 billion that year, according to Grand View Research figures.
• MEV Blocker has served over 4.5 million unique wallets and protected more than $60 billion in DEX volume, paying out 6,177 ETH in cumulative rebates as of May 2025.

Recent Developments

• February 2026: A market analysis published via Research and Markets projected the global algorithmic trading market at an estimated $44.34 billion by 2030, with Virtu Financial, IG Group, FXCM Group, and TradeStation named as leading players.
• December 2025: Bitcoin traded down to roughly $24,111 on Binance’s BTC/USD1 pair before snapping back to $87,000 in seconds.
• November 2025: BingX disclosed 287,000+ users running its Spot Grid bot and 160,000+ running Futures Grid, with combined investment exceeding 1.27 billion USDT.
• October 2025: A macro-driven flash crash on October 10 wiped out over $19 billion in leveraged positions across exchanges, with Binance reporting intermittent outages between 20:50 and 22:00 UTC.
• July 2025: The European Securities and Markets Authority (ESMA) published a Risk Analysis on Maximal Extractable Value, examining MEV’s implications for crypto market structure and investor protection.
• April 2025: Several tokens on Binance, including ACT, DEXE, and DF, dropped as much as 50% within 30 minutes.

Sources: Research and Markets, Binance Square, BingX Learn, ESMA, market reporting

Global Algorithmic Trading Market Size

• The global algorithmic trading market was valued at $51.14 billion in 2024, rising to $57.65 billion in 2025.
• Forecasts project the market to reach $150.36 billion by 2033 at a compound annual growth rate of 12.73%.
• An alternative projection from Research and Markets sets the 2030 figure at $44.34 billion with a 15.4% CAGR, reflecting different methodology and scope assumptions.
• Institutional desks generated roughly 61.16% of 2025 algorithmic trading market revenue, backed by multi-asset mandates and dedicated colocation footprints.
• North America commanded an estimated 39.7% of global algorithmic trading market share in 2026, according to industry market sizing.
• Retail investors are projected to contribute roughly 38.5% of 2026 algorithmic trading market share.

Source: Research and Markets, Business Research Insights, industry projections. Forecasts vary widely across publishers because methodology and scope (asset classes covered, retail-versus-institutional inclusion) differ; the bracketed range reflects this dispersion rather than internal contradiction.

By the numbers: According to industry projections summarized by Business Research Insights: the global algorithmic trading market grew from $51.14 billion in 2024 to $57.65 billion in 2025 and is forecast to reach $150.36 billion by 2033 at a 12.73% CAGR. Institutional desks account for roughly 61.16% of that revenue.

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Crypto Trading Bot Market Statistics

• The global crypto trading bot market was valued at $47.43 billion in 2025, according to Business Research Insights.
• Projections place the segment at $54.07 billion in 2026 and $200.1 billion by 2035 at an estimated 14% CAGR.
• The narrower AI-specific crypto trading bot segment is projected to grow at a 13.9% CAGR between 2025 and 2035.
• Cloud-based bot deployment dominates the market.
• Roughly 70% of global trading volume across markets is now handled by algorithms, with most of it coming from institutional bots rather than retail traders.

Reading these figures requires care, since 10-year market-size projections embed wide assumption bands.

For wider context on user growth across the industry, our crypto adoption rates by country tracker pairs adoption signal with this trading-bot market size data. Demographic breakdowns are covered in our crypto user demographics data coverage.

Algorithmic Share of Equity Trading Volume

• Approximately 78% of all US equity trades were executed through algorithmic systems by 2024.
• JPMorgan estimated that between approximately 60-73% of US equity trading was algorithmic in 2023, with peak estimates reaching 80%.
• Buy-side execution data shows roughly 37% of 2023 trading volume routed through algorithms or smart-order routers, an increase from 35% the prior year.
• The narrower buy-side share figure measures order flow originating from asset managers, while the 78% market figure reflects total executed volume across all market participants.
• Across crypto venues, at least half of all Solana DEX volume is attributed to arbitrage bots, climbing as high as 70% on certain days.

Retail vs Institutional Bot Adoption

• Institutional desks account for an estimated 61.16% of 2025 algorithmic trading market revenue.
• Retail investors are projected to represent roughly 38.5% of the 2026 algorithmic trading market by participant type.
• Bitsgap reported over 4.7 million bots launched on its platform and $9.46 billion in user funds connected as of November 2025.
• Bitsgap also reported an average 11% thirty-day Grid Bot return at that snapshot. Past performance does not guarantee future results.
• OKX disclosed that nearly 1 million users have experimented with its bot suite, with reported aggregate gains topping 31 million across grid, DCA, rebalancing, and arbitrage products.

Source: Business Research Insights, OKX Help Center, Bitsgap data.

Key finding: According to OKX’s published bot data, nearly 1 million users have run bots on the platform, with reported aggregate gains topping 31 million across grid, DCA, rebalancing, and arbitrage products. The figure illustrates how exchange-native bots have absorbed a meaningful share of retail automation.

Trading Bot Platform Market Share

• 3Commas serves more than 500,000 users worldwide and targets high-volume traders, professional managers, and asset managers via API connectivity.
• Cryptohopper, a European-based platform founded in 2017, supports over 100,000 users.
• Pionex runs 5 million users globally with over $60 billion in monthly trading volume and 16+ built-in bots at no subscription cost.
• OKX has logged nearly 1 million users across its bot catalog, with aggregate reported gains topping 31 million.
• BingX reported 287,000+ Spot Grid users and 160,000+ Futures Grid users, with combined investment exceeding 1.27 billion USDT as of November 2025.
• Bitsgap has launched over 4.7 million bots and connected $9.46 billion in user funds.

Source: 3Commas, Cryptohopper, Pionex, OKX, BingX, Bitsgap published platform statistics.

For deeper platform-level context, our crypto exchange market data coverage tracks the venues hosting most of this bot activity. Bot operators routing through Indian rails should also review our UPI transaction data page for fiat on-ramp constraints.

Solana Telegram Bot Activity

• Trojan is the largest Telegram trading bot, with nearly $24.2 billion in lifetime volume and over 2 million total users.
• Trojan reports approximately 20,000 daily active users and over 100,000 trades daily.
• BONKbot is the second-largest Telegram bot with $14.1 billion in lifetime volume across 526,000+ total users.
• Other popular Telegram trading bots on Solana include Maestro, Sol Trading Bot, and Bloom Bot, with Photon widely used for fast manual trading and new token launches.
• At least half of Solana DEX volume is attributable to arbitrage bots, with peak readings as high as 70% on certain days, according to market data summarized across CoinGecko and Backpack Exchange.

Source: CoinGecko Learn, Backpack Exchange Learn.

MEV Bot Revenue and Distribution

• Ethereum generated approximately $129 million in MEV-related revenue during Q2 2025, according to The Block, citing Flashbots data.
• Ethereum mainnet MEV averaged over $500,000 per day in 2023 before stabilizing at approximately $300,000 daily by 2024.
• Independent searchers retain only about 17% of MEV profits, with validators capturing up to 72% and builders around 10% of extracted value on Ethereum post-Merge.
• Roughly 90% of Ethereum blocks are built via MEV-Boost, the relay infrastructure that Flashbots pioneered.
• MEV Blocker has served over 4.5 million unique wallets, paid out 6,177 ETH in cumulative rebates (with 4,079 ETH in 2024 alone), and protected over $60 billion of DEX volume as of May 2025.
• Arbitrage bots typically pay 50-60% of their profits as priority tips to validators, compressing the searcher take.

Source: The Block citing Flashbots data.

By the numbers: According to The Block summarizing Flashbots data: Ethereum generated approximately $129 million in MEV-related revenue during Q2 2025. Validators capture up to 72% of extracted value, builders take roughly 10%, and independent searchers retain only about 17% post-Merge. The asymmetry shows how thoroughly infrastructure-tier actors dominate on-chain extraction.

This is the asymmetry retail SaaS bot users rarely see: The lion’s share of MEV routes to validators and builders, not to consumer subscribers.

For the broader on-chain settlement context, our decentralized finance statistics hub covers the protocols where this MEV activity occurs. Wallet-level exposure to MEV is tracked further in our MetaMask wallet data coverage.

Sandwich Attack Statistics

• Monthly extraction from sandwich attacks on Ethereum dropped from nearly $10 million in late 2024 to about $2.5 million by October 2025, according to EigenPhi data.
• Sandwich attacks account for roughly $60 million in annual trader losses on Ethereum, with block builders capturing most of the value through gas fees.
• A single month recorded 125,829 sandwich attacks with estimated total gas fees of $7.89 million. The figures cover October 2024.
• An academic study found 2,932 private sandwich attacks affecting 3,126 private victim transactions between November and December of that year, with aggregate user losses of $409,236.97 and attacker profits of nearly $293,785.95.
• Roughly 70% of all sandwich attacks are associated with a single entity known as jaredfromsubway.eth, one of the most active MEV searchers.

Source: EigenPhi data summarized in academic research (arXiv:2512.17602).

DeFi Liquidation Bot Profitability

• Liquidators on Aave have earned an average of 7.5% profit per liquidation, based on Q2 2024 data.
• Aave liquidation bonuses range between 5% and 10% of collateral value depending on the asset and borrower configuration.
• Sky (formerly MakerDAO) recorded $124 million in Q1 2025 revenue, primarily from lending fees and liquidation penalties, per Blockworks reporting.
• Aave’s Q2 2025 fees reached $122.13 million with net revenue of $17.16 million, according to Blockworks.
• Aave v3 ecosystem TVL hit $69 billion by August 2025, capturing roughly 62% of the DeFi lending share.

Source: Blockworks, Aave protocol disclosures.

High-Frequency Trading Firm Statistics

• The global high-frequency trading market was estimated at $10.36 billion in 2024 and is expected to reach over $11.05 billion in 2025, according to Grand View Research.
• The HFT market is projected to grow to $16.03 billion by 2030 at a 7.7% CAGR.
• Citadel LLC holds the largest single-firm market share at 19% in 2025, more than any other listed player.
• North America commands over 41% of the global HFT market by 2025.
• The US HFT market alone reached more than $6.1 billion in 2025.
• Major HFT firms include Latour Trading, Susquehanna International Group, Jane Street, Two Sigma Investments, Jump Trading, Citadel Securities, Optiver, DRW Holdings, Tower Research Capital, and Hudson River Trading.

Source: Grand View Research high frequency trading market report.

Backtesting vs Live Performance Reality

• Backtests assume perfect execution with no slippage and no latency, conditions that rarely hold in live markets.
• A strategy showing 0.4% profit per trade can turn unprofitable when factoring in 0.2% commission and 0.3% slippage.
• Bitsgap’s reported 11% thirty-day Grid Bot average return reflects platform-level snapshot data and does not guarantee user-level outcomes. Past performance does not guarantee future results.
• Overfitting risk is meaningful: testing 1,000 random strategy variations is statistically guaranteed to surface a winner by chance, with no live-market signal.
• Walk-forward testing splits, where a system is trained on older data and tested on newer data, reduce curve-fit risk versus single-period backtests.

Source: Industry trading research, platform-published backtest disclosures.

Past performance does not guarantee future results.

Bot Reliability During Flash Crashes

• The October 10, 2025 flash crash wiped out over $19 billion in leveraged positions across exchanges in a single session.
• Binance experienced intermittent outages from 20:50 to 22:00 UTC during the October 10 crash, with users reporting failed order executions and price-feed discrepancies.
• Binance allocated $283 million in compensation to affected users following the October crash.
• On April 1, 2025, ACT, DEXE, and DF tokens dropped as much as 50% within 30 minutes on Binance.
• On December 24, 2025, Bitcoin briefly traded down to $24,111 on the BTC/USD1 pair before snapping back to roughly $87,000 within seconds.

Why it matters: According to Binance’s own incident summary: the October 10, 2025 flash crash liquidated more than $19 billion in leveraged positions while the exchange experienced intermittent outages from 20:50 to 22:00 UTC. Binance later allocated $283 million in compensation. The event illustrates the reliability gap automated strategies face during the precise moments they are most needed.

This is the second asymmetry bot marketing rarely surfaces: API-bound stop-losses cannot confirm at the moment a position needs to exit.

For the broader event-driven volatility context, our crypto exchange market share data page tracks how venues absorb (or fail to absorb) these moments.

Trading Bot Fraud and Ponzi Statistics

• The FTC documented $5.7 billion in 2024 investment scam losses, a 24% year-over-year increase.
• 79% of consumers who reported an investment-related scam said they lost money, with a median per-victim loss exceeding $9,000.
• Crypto-paid investment scams reached $863 million through the first three quarters of 2025, an increase of roughly $300 million versus the same period in 2024.
• In 2024, brothers Jonathan and Tanner Adam ran a $60 million Ponzi scheme that promised 13.5% monthly returns from a fictional cross-exchange arbitrage bot.
• Investment-scam contact via social media grew from 4,889 reports in 2020 to 26,569 in 2024, a fivefold-plus increase.

Source: FTC press release, March 2025.

Regulatory Status of Algorithmic Trading

• The SEC’s 2025 Examination Priorities flagged scrutiny on whether AI-driven and algorithmic trading systems are performing as advertised to investors.
• The SEC defines a “digital investment advisory service” as advice generated by software-based models, algorithms, or applications based on personal information clients supply.
• Internet Investment Advisers must provide investment advice exclusively through their websites and cannot offer human-directed client-specific advice under SEC rules.
• The SEC expects investment advisers to maintain compliance policies and disclosures covering AI use across portfolio management, trading, marketing, and compliance.
• ESMA published a July 2025 Risk Analysis examining MEV and its implications for crypto market structure, signaling that EU regulators are reviewing on-chain extraction practices.

Source: SEC.gov, ESMA published research.

For users tracking regulatory enforcement patterns, our SEC crypto enforcement data hub aggregates the relevant filings and orders. Fraud and security incident benchmarks live in our crypto security and fraud data tracker.

CoinLaw’s coverage of more than 2,400 articles points to a recurring pattern across regulatory cycles: AI-driven trading enforcement follows visible failures rather than preceding them. The 2024 Adam Ponzi case and the SEC’s 2025 examination priorities fit that pattern.

Frequently Asked Questions (FAQs)

Conclusion

Trading bots now drive at least half of all Solana DEX volume, climbing as high as 70% on the busiest days. The broader automated trading ecosystem captured $129 million in Q2 2025 Ethereum MEV, inside a $11.05 billion global HFT market, with 78% of US equity trades now executed by algorithms. The retail layer anchors on 3Commas at 500,000+ users, Pionex at 5 million, and Bitsgap at over 4.7 million bots launched, running grid strategies on exchange APIs.

Validators capture up to 72% of MEV; builders take 10%; independent searchers retain only about 17% post-Merge. The October 10, 2025 flash crash wiped out over $19 billion in leverage during a Binance outage. Past performance does not guarantee future results. The growth path through 2033 projects $150.36 billion in market size for traders who understand both the data above and the gaps between marketing claims and live execution.