Prediction Market Statistics 2026: The Complete Industry Data Report


Last updated: August 2026
Data sources: CFTC filings, company announcements, press reports, on-chain data, academic research
Note: Figures marked with (R) are reported/estimated and should be verified against primary sources.
Key Takeaways: The Data Summary
The industry grew from ~$500M to ~$15.8B to ~$63.5B–$64B in volume between 2022 and 2025. That is a 127x increase in three years. No other financial market category grew that fast.cnbc+3
Polymarket and Kalshi control ~70–80% of prediction market volume. The market is consolidating around two dominant players with different regulatory structures.
The 2024 election was the industry's breakout moment. Over $3.6B+ in combined election volume on Polymarket alone. Polymarket's correct Trump pricing generated more mainstream credibility than a decade of academic research. 1000
Prediction markets outperform polls on accuracy. 75–85% accuracy on major political events vs 65–72% for traditional polling. 1008
The US regulatory framework is settled enough for growth but not final. Kalshi's court win set precedent. The CFTC is the primary regulator. State-level gambling legislation remains a risk.
Polymarket's US re-entry is the single biggest variable for 2026–2027. If it happens, the addressable market doubles overnight.
An IPO is coming. Whether it's Kalshi or Polymarket first, a prediction market company will go public between 2026 and 2028. Kalshi reached a $22B valuation in early 2026. The search data (8,100 monthly for "kalshi stock," 5,400 for "polymarket stock") proves retail demand exists.
Weather, sports, and economics are the next growth verticals. Politics drove the initial wave. Diversification into non-political categories will drive the next wave. Kalshi's sports volume surged 80x from $180M monthly to $14.4B monthly in one year. 1002
The user base is young, educated, male, and crypto-aware. Median age 28–40. 45%+ college or graduate educated. 75–85% male. 40–50% own crypto. This demographic will age into higher incomes and larger position sizes. 1006
The industry is still early. $63.5B–$240B+ in annual volume sounds large until you compare it to $200B+ in US sports betting or $600B+ in global derivatives. Prediction markets are less than 2% of the addressable market they could eventually capture.
Part 1: Industry Overview & Market Size
The Numbers That Define the Industry
Prediction markets went from a niche academic experiment to a multi-billion-dollar industry in under three years. The growth curve is not gradual. It is vertical.
Here is the macro picture as of early 2026:
Metric | 2022 | 2023 | 2024 | 2025 (R) | 2026 (Proj.) |
|---|---|---|---|---|---|
Total industry trading volume | ~$500M | ~$1.5B | ~$15.8B | ~$63.5B–$64B (R) | ~$240B+ (Bernstein) |
Number of active platforms (major) | 4–5 | 7–8 | 10–12 | 14–16 | 18–20+ |
Registered/funded users (all platforms) | ~500K | ~2M | ~8M+ | ~12M+ (R) | ~18M+ (R) |
Combined valuation of top 3 platforms | ~$300M | ~$600M | ~$2B+ | ~$23.5B+ (R) | TBD |
CFTC-regulated platforms (US) | 1 | 1 | 2 | 3+ | 4+ (R) |
Countries with active prediction markets | ~15 | ~25 | ~40+ | ~60+ (R) | ~80+ (R) |
The single biggest catalyst was the 2024 US presidential election. Polymarket alone processed over $3.6 billion in election-related trading volume on the presidential race alone between January and November 2024. Kalshi processed an estimated $1 billion or more in election contracts after winning its court case against the CFTC in September 2024.
Combined, those two platforms handled more election-related trading volume than the entire prediction market industry had processed in all prior years combined.
That is not incremental growth. That is a phase change.
Volume Growth: Year Over Year
Year | Estimated Total Volume | YoY Growth |
|---|---|---|
2020 | ~$50M | — |
2021 | ~$150M | +200% |
2022 | ~$500M | +233% |
2023 | ~$1.5B | +200% |
2024 | ~$15.8B | +953% |
2025 (R) | ~$63.5B–$64B | +300–400% (R) |
2026 (Proj.) | ~$240B+ (Bernstein) | +275–400% (R) |
The 2024 spike was election-driven. The 2025–2026 projections assume normalization: no single event will match the 2024 election for volume, but the baseline is permanently higher because millions of new users entered the ecosystem and stayed. Some analysts forecast up to $1.3T in 2026 trading volume as institutional adoption accelerates.cnbc+3
Market Share by Platform (2025 Estimated)
Platform | Estimated Volume Share | Primary Market Focus |
|---|---|---|
Polymarket | ~45–50% (R) | Politics, crypto, global events |
Kalshi | ~25–30% (R) | US-regulated: economics, sports, weather, politics |
PredictIt | ~3–5% (R) | US politics (declining) |
Manifold Markets | ~5–8% (R) | Play-money / social prediction |
Metaculus | ~2–4% (R) | Forecasting / research |
Others (Betfair, Smarkets, smaller) | ~10–15% (R) | Mixed |
Polymarket dominates on raw volume because it operates globally with no per-user caps and uses crypto rails for instant settlement. Kalshi dominates on regulatory legitimacy in the US and is the only CFTC-designated contract market offering retail prediction markets domestically.
Part 2: Platform-by-Platform Statistics
Kalshi: The Regulated Player
Founded: 2018 by Tarek Mansour and Luana Lopes Lara
Launched: 2021
Regulation: CFTC-designated contract market (DCM), first of its kind
Headquarters: New York, USA
Funding & Valuation
Round | Date | Amount | Lead Investor | Valuation |
|---|---|---|---|---|
Seed | 2019 | $2M (R) | — | — |
Series A | 2021 | $11.2M | Charles Schwab, others | ~$50M (R) |
Series B | 2024 | $30M | Sequoia Capital | ~$200M (R) |
Series E | Late 2025 | ~$1B | Coatue, others | ~$11B (R) |
Series F | Early 2026 | ~$1B | Coatue | $22B (R) |
Kalshi's valuation trajectory is closely watched because it is the most likely candidate for a prediction market IPO in the US regulatory framework. Searches for "kalshi stock" (8,100 monthly), "kalshi stock ipo" (30 monthly), and "kalshi valuation" (2,400 monthly) reflect sustained investor interest.
Key Operating Statistics
Metric | Figure |
|---|---|
Total markets listed (cumulative, 2021–2025) | 10,000+ (R) |
Active markets at any given time | 500–1,500 (R) |
Registered users (2025) | 1M+ (R) |
2024 election volume | $1B+ (R) |
Sports markets launched | 2024–2025 |
Fee structure | Variable; ~$0.02–$0.07 per contract spread |
Minimum trade size | $1 |
Settlement | USD via bank transfer |
Legal & Regulatory Milestones
Date | Event |
|---|---|
Jan 2021 | CFTC grants DCM designation |
2022 | CFTC initially blocks election-related markets |
Sep 2024 | DC Circuit Court rules in Kalshi's favor, allowing election markets |
Nov 2024 | Kalshi lists 2024 presidential election contracts |
2025 | Expansion into sports, weather, entertainment markets |
2025–2026 | Ongoing CFTC oversight and compliance framework |
The September 2024 court ruling was the single most important legal event in US prediction market history. It established that the CFTC could not arbitrarily prohibit event contracts on public elections, setting precedent for the entire industry.
Kalshi Sports Betting Data
Kalshi's entry into sports was a strategic move to compete with traditional sportsbooks. Key data points:
Kalshi offers event contracts on NFL, NBA, MLB, NHL, MMA, tennis, and soccer outcomes
Contracts are structured as binary Yes/No, not traditional point spreads
Volume on sports markets surged 80x from $180M monthly at the start of 2025 to $14.4B monthly by March 2026 1002
Sports accounted for 89% of Kalshi's $263.5M fee revenue in 2025
The NCAA raised concerns about college sports contracts in 2025
Kalshi does not offer player prop markets (individual athlete performance), which distinguishes it from traditional sportsbooks
Polymarket: The Crypto-Native Giant
Founded: 2020 by Shayne Coplan
Blockchain: Polygon (Ethereum Layer 2)
Settlement currency: USDC (stablecoin)
Headquarters: New York / global operations
US status: Previously restricted; working toward re-entry (as of 2025–2026)
Funding & Valuation
Round | Date | Amount | Lead Investor | Valuation |
|---|---|---|---|---|
Seed | 2020 | $4M | — | — |
Series A | 2021 | $25M | — | ~$200M (R) |
Series B | May 2024 | $70M | Founders Fund (Peter Thiel) | ~$1B |
Secondary/tender (R) | 2025 | Undisclosed | Undisclosed | $1.5B+ (R) |
Polymarket's $1 billion valuation from the Founders Fund round in May 2024 made it the most valuable private prediction market company in the world. Searches for "polymarket stock" (5,400 monthly), "polymarket stock ipo" (70 monthly), and "how to invest in polymarket stock" (70 monthly) show persistent retail interest in equity exposure.
Key Operating Statistics
Metric | Figure |
|---|---|
Total lifetime trading volume | $10B+ (R) |
2024 election volume (Jan–Nov) | $3.6B+ (presidential race alone) (R) |
Peak daily volume (Oct 2024) | $100M+ (R) |
Registered wallets/users | 3M+ (R) |
Peak concurrent users (Nov 2024) | 1M+ (R) |
Active markets at peak | 1,000+ |
Market categories | Politics, sports, crypto, weather, entertainment, science, economics |
Fee structure | 0% trading fee (gas fees on Polygon apply) |
Minimum trade | No minimum (fractional shares) |
Settlement | USDC on Polygon |
The 2024 Election: Polymarket's Defining Moment
The 2024 US presidential election was the event that put Polymarket on the mainstream map.
Data Point | Figure |
|---|---|
Total election market volume | $3.6B+ (presidential race alone) (R) |
Largest single position | ~$85M (French trader "Théo," Trump) |
Polymarket's final Trump probability (Nov 4) | ~63% |
Actual polling average (final) | ~50/50 |
Outcome | Trump won |
Accuracy assessment | Correct (markets outperformed polls) |
Media mentions of Polymarket (Nov 2024) | 10,000+ articles (R) |
New user signups (Oct–Nov 2024) | 1M+ (R) |
Polymarket's correct pricing of the 2024 election, when traditional polling showed a near-toss-up, was the single most-cited argument for prediction market accuracy in mainstream media. It generated an estimated $100M+ in free media coverage (R). 1000
CFTC Settlement & US Re-Entry
Date | Event |
|---|---|
Jan 2022 | CFTC fines Polymarket $1.4M for offering unregistered binary options |
2022–2024 | US users restricted from trading |
2024–2025 | Reports of Polymarket exploring US re-entry via acquisition or partnership |
2025–2026 | Ongoing regulatory discussions (status evolving) |
The $1.4M fine was small relative to Polymarket's volume, but the restriction forced the platform to operate without US users for two years. Re-entry into the US market, if achieved, could double or triple Polymarket's addressable user base.
PredictIt: The Legacy Platform
Founded: 2014
Operated by: Victoria University of Wellington, New Zealand
Regulation: CFTC no-action letter (2014)
Status: Declining / transitioning (as of 2025–2026)
Key Statistics
Metric | Figure |
|---|---|
Peak annual volume (2020) | ~$100M (R) |
2024 volume | ~$20M (R) |
2025 volume | ~$5–10M (R) |
Per-user contract limit | $850 per market |
Fee on profits | 10% |
Withdrawal fee | 5% |
Active markets | ~100–200 |
User base | ~100K active (R) |
Primary focus | US politics |
PredictIt's decline is structural, not cyclical. The $850 per-market cap, 10% profit fee, and 5% withdrawal fee make it uncompetitive against Kalshi (no per-market cap, lower fees) and Polymarket (zero trading fees, no caps). User migration to competitors accelerated after the 2024 election.
Searches for "predictit shutting down" (50 monthly) and "predictit fees" (50 monthly) reflect user awareness of the platform's limitations and uncertain future.
Other Notable Platforms
Platform | Type | Volume (2025 est.) | Notes |
|---|---|---|---|
Manifold Markets | Play-money / social | Low real-money | Focus on forecasting quality, not gambling |
Metaculus | Forecasting community | N/A (no money) | Used by researchers, AI labs, governments |
Smarkets | Exchange betting | ~$500M+ (R) | UK-based, traditional betting exchange |
Betfair | Exchange betting | ~$5B+ (R) | Largest betting exchange globally |
DraftKings / FanDuel | Sportsbooks exploring prediction | TBD | Regulatory discussions ongoing |
Part 3: User Demographics & Behavior
Who Trades Prediction Markets?
Prediction market users skew younger, more male, more tech-literate, and more politically engaged than traditional bettors.
Demographic Breakdown (2025 Estimated)
Demographic | Prediction Markets | Traditional Sports Betting |
|---|---|---|
Male / Female split | ~75–85% / 15–25% (R) | ~70% / 30% (R) |
Median age | 28–40 (R) | 35–44 (R) |
College degree or higher | ~45% (19% college, 26% graduate) (R) | ~45% (R) |
Household income >$75K | ~55% (R) | ~48% (R) |
Crypto ownership | ~40–50% (R) | ~15% (R) |
Self-identified "investor" vs "bettor" | ~60% "investor" (R) | ~30% "investor" (R) |
The "investor vs bettor" framing matters because it drives search behavior. Users searching "is kalshi a good way to make money" (90 monthly), "kalshi trading strategy" (70 monthly), and "how to make money on kalshi reddit" (140 monthly) are framing their activity as investing, not gambling. 1006
Geographic Distribution (Polymarket, 2025 Estimated)
Region | Estimated User Share |
|---|---|
North America (ex-US, due to restrictions) | ~25% (R) |
Europe | ~30% (R) |
Asia | ~20% (R) |
South America | ~12% (R) |
Africa / Middle East | ~8% (R) |
Other | ~5% (R) |
Note: US users were restricted from Polymarket between 2022 and 2025. If US access is restored, North America's share could jump to 40–50% within 12 months.
User Behavior Patterns
Behavior | Data Point |
|---|---|
Average position size (Polymarket) | $50–$200 (R) |
Average position size (Kalshi) | $20–$100 (R) |
Most-traded category (all platforms) | Politics / elections |
Second most-traded category | Crypto prices |
Third most-traded category | Sports outcomes |
Peak trading hours | 7 PM–11 PM ET |
Peak trading days | Sundays (sports), Election Day, Fed meeting days |
Average holding period | 3–14 days (R) |
Percentage of users who trade more than once | ~45% (R) |
Percentage of users active after 30 days | ~25–30% (R) |
Part 4: Accuracy, Regulation & Legal Data
How Accurate Are Prediction Markets?
This is the question journalists, academics, and regulators ask most. The data is compelling.
Historical Accuracy Rates
Study / Source | Sample | Accuracy |
|---|---|---|
Berg, Forsythe, Nelson, Rietz (2008) | Iowa Electronic Markets, 1988–2004 | 74% correct (vs 69% for polls) |
Graefe et al. (2014) | Multiple election cycles | 76% correct |
Polymarket 2024 Election | US Presidential, Senate, House | ~85% correct on major races (R) |
Kalshi 2024 Election (post-court ruling) | US Presidential | Correct (Trump win) |
Metaculus (2020–2025) | 5,000+ resolved questions | ~72% within confidence interval |
FiveThirtyEight comparison (2024) | Prediction markets vs polling | Markets outperformed polls by 4–7 points on accuracy |
The 2024 election was the strongest evidence yet. Polymarket priced Trump's probability at 60–65% in the final week while polling aggregates showed a near-toss-up. The market was right. The polls were not.
This single data point generated more mainstream media coverage of prediction markets than the previous decade combined. 1008
Accuracy by Category
Category | Estimated Accuracy |
|---|---|
Binary political events (elections, legislation) | 75–85% (R) |
Economic indicators (Fed rates, jobs) | 70–80% (R) |
Sports outcomes | 65–75% (R) |
Weather events | 60–75% (R) |
Crypto price thresholds | 50–60% (R) |
Entertainment / awards | 65–80% (R) |
Prediction markets are most accurate on events with high information aggregation (elections, economic data) and least accurate on events with high randomness (individual crypto price movements, weather one-degree thresholds).
Regulatory Landscape: 2026 Status
United States
Regulator / Body | Status |
|---|---|
CFTC | Primary regulator. Kalshi is a designated contract market. Polymarket settled in 2022. |
SEC | No direct jurisdiction over prediction markets (binary contracts, not securities) |
State gambling commissions | Varies. Some states have introduced legislation to classify prediction markets as gambling |
Federal legislation | "Prediction Markets Are Gambling Act" introduced (140 monthly searches). Not passed as of 2026 |
Court precedent | Kalshi v. CFTC (Sep 2024): CFTC cannot arbitrarily prohibit election contracts |
Key Legal Data Points
Event | Date | Outcome |
|---|---|---|
CFTC v. Polymarket settlement | Jan 2022 | $1.4M fine, US trading restricted |
Kalshi v. CFTC (election markets) | Sep 2024 | Kalshi wins. Election contracts allowed |
"Prediction Markets Are Gambling Act" | 2024–2025 | Introduced, not passed |
"Public Integrity in Financial Prediction Markets Act" | 2024 | Introduced, addresses insider trading |
State-level gambling bills | 2024–2026 | Multiple states considering; none passed as of early 2026 |
International Regulation
Jurisdiction | Status |
|---|---|
United Kingdom | Regulated under gambling law. Betfair, Smarkets operate legally |
European Union | Varies by country. No unified prediction market framework |
Australia | Regulated. Some platforms operate under financial services licenses |
Singapore | Restricted. MAS has not approved prediction markets |
Canada | Provincial regulation. Limited prediction market activity |
Japan | Restricted |
Brazil | Growing market. Regulatory framework under development |
Insider Trading & Enforcement
Data Point | Figure |
|---|---|
Documented insider trading cases (prediction markets) | <10 globally (R) |
Largest enforcement action | Polymarket CFTC settlement ($1.4M, 2022) |
"Prediction markets insider trading" searches | 170 monthly |
Kalshi surveillance system | Automated, CFTC-monitored |
Polymarket on-chain transparency | All trades visible on Polygon blockchain |
The low number of insider trading cases reflects both the relative newness of the industry and the transparency of on-chain settlement. However, as volume grows, enforcement attention will increase. The "Public Integrity in Financial Prediction Markets Act" (20 monthly searches) specifically targets insider trading in prediction markets.
Part 5: Growth Projections, Competition & Future Outlook
Revenue Models: How Platforms Make Money
Platform | Primary Revenue | Secondary Revenue |
|---|---|---|
Kalshi | Trading fees / spread | Data licensing, API access |
Polymarket | No trading fees (currently) | Potential future fees, data, partnerships |
PredictIt | 10% profit fee + 5% withdrawal | None |
Manifold | None (play money) | Donations, enterprise |
Betfair / Smarkets | Commission on winnings (2–5%) | Premium API, data feeds |
Searches for "how do prediction markets make money" (170 monthly) and "prediction market stocks" (260 monthly) show growing investor interest in the business model itself, not just the trading.
Polymarket's zero-fee model is notable. It is currently subsidized by venture capital. The question of how it monetizes at scale is one of the key open questions heading into a potential IPO.
Competitive Landscape: 2026 and Beyond
New Entrants & Expansion
Company | Move | Status |
|---|---|---|
DraftKings | Exploring prediction market contracts | Regulatory discussions |
FanDuel | Monitoring prediction market space | No public launch |
Robinhood | Reportedly exploring event contracts | Unconfirmed |
Coinbase | Crypto prediction market features | Limited |
Kalshi | Expanding into sports, weather, entertainment | Active |
Polymarket | Pursuing US re-entry | In progress |
Manifold | Growing social forecasting user base | Active |
Betfair / Smarkets | Traditional exchange betting expanding into event markets | Active |
Searches for "kalshi vs polymarket vs draftkings" (10 monthly) and "fanduel prediction markets reddit" (10 monthly) indicate early user awareness of the sportsbook-to-prediction-market crossover.
Market Share Projections (2027)
Scenario | Polymarket Share | Kalshi Share | Others |
|---|---|---|---|
Polymarket re-enters US | 50–55% | 25–30% | 15–20% |
Polymarket remains restricted | 35–40% | 35–40% | 20–25% |
Major sportsbook enters | 30–35% | 25–30% | 35–40% |
The single biggest variable is Polymarket's US access. If restored, Polymarket's global crypto-native infrastructure gives it a structural advantage in speed and cost. If blocked, Kalshi becomes the dominant US platform by default.
Growth Projections: 2026–2030
Metric | 2026 (Proj.) | 2028 (Proj.) | 2030 (Proj.) |
|---|---|---|---|
Global industry volume | ~$240B+ (Bernstein) | ~$400–500B | ~$1T+ (Bernstein) |
US-regulated volume | ~$50–80B | ~$150–200B | ~$300–400B |
Number of active users (global) | 18–25M | 50–75M | 100M+ |
Number of major platforms | 18–20 | 25–30 | 30–40 |
Prediction market IPOs completed | 0–1 | 1–2 | 2–3 |
Sportsbook integration | Early | Moderate | Widespread |
Regulatory frameworks established | 5–10 countries | 20–30 countries | 50+ countries |
These projections assume:
No major regulatory crackdown in the US or EU
At least one major platform IPO between 2026 and 2028
Continued growth in sports and weather market categories
AI-driven trading bots increasing volume but not fundamentally changing market structure
Some analysts forecast up to $1.3T in 2026 trading volume as institutional adoption accelerates.cnbc+3
The Weather Market Opportunity
One of the fastest-growing verticals within prediction markets is weather. This is directly relevant to traders on Polymarket and Kalshi.
Data Point | Figure |
|---|---|
WMO probability of record heat year (2026–2030) | 86% |
El Niño development probability (late 2026) | Elevated |
Weather markets on Polymarket (active) | 20–50 at any time (R) |
Weather markets on Kalshi (active) | 10–30 at any time (R) |
Average weather market volume | $10K–$100K per contract (R) |
Peak weather market volume (heat waves) | $500K+ per contract (R) |
The intersection of climate change, improved forecasting technology, and prediction market infrastructure creates a structural growth opportunity in weather trading through 2030.

Editor-in-Chief
Ezekiel Njuguna is the Editor-in-Chief of Predictions Market Fans, where he helps make probabilistic thinking clear and practical for readers. With a strong focus on quantitative research and market mechanics, he leads the site’s technical guides, including a detailed breakdown of Kalshi Combos. His writing connects economic theory with real-world trading strategy, including practical discussions of how yield-bearing tools can support active bankroll management.
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