Prediction Markets: How Retail Behaviors are Reshaping the New Financial Interface

Think about the last time you watched a game, followed an election, or had a strong opinion on where crypto was heading. Now imagine being able to act on that conviction instantly, right from your wallet. That's what prediction markets are making possible – and they're growing faster than most people realize.

We partnered with Polymarket and Dune Analytics to look at how 1.29 million wallets actually behaved in Q1 2026. Not the headlines, not the projections – the real onchain data behind who's trading, what they're trading, and why they keep coming back.

Here are seven insights the data revealed.

Prediction markets in 2026 don't look like Wall Street. They look like a consumer app.

Tier by User Trading Volume	Number of Active Users	Share	Avg. Trading Volume
Whale (>$100K)	31,705	2.5%	$1.35M
Heavy ($10K–$100K)	196,463	15.2%	$27.5K
Medium ($1K–$10K)	392,803	30.4%	$3.6K
Light ($100–$1K)	351,926	27.2%	$392
Micro (<$100)	319,637	24.7%	$35

Polymarket u ser n umber and t rading v olume in Q1 2026

In Q1, 82.3% of Polymarket users traded under $10,000 for the entire quarter. Only 2.5% crossed $100,000. The average micro user traded just $35, and the average light user traded $392. This is millions of people making small trades on outcomes they care about – not a handful of institutions moving large positions.

And the market is scaling fast. Monthly volume surged from roughly $1.2 billion in 2025 to $25.7 billion by March 2026. Bernstein projects the category could hit $240 billion in annual volume this year and reach $1 trillion by 2030. All of that growth, right now, is being powered by retail.

This was one of the most interesting patterns in the data. As users get more active, they don't increase their trade sizes. They explore more categories and come back more often.

Tier by User Trading Volume in Q1	Avg. Categories Traded	Avg. Active Days	Avg. Active Weeks
Whale (>$100K)	3.16	37.0	7.8
Heavy ($10K–$100K)	3.00	16.8	5.0
Medium ($1K–$10K)	2.34	9.9	3.7
Light ($100–$1K)	1.99	5.7	3.1
Micro (<$100)	1.45	2.5	2.0

Polymarket u ser a ctivity in Q1 2026

Micro users averaged 2.5 active days and traded across 1.45 categories, while mid-tier users reached 9.9 active days and over 2.3 categories. The pattern is consistent: more engagement leads to more breadth, not bigger bets.

Each new category a user explores becomes another reason to return. This shows that retention is not driven by taking bigger risks, but by expanding the range of opportunities users can engage with.

Most users start with what they know. Crypto accounted for 39.6% of activity among the smallest traders in Q1. Bitcoin alone drew 593,000 users and $5.42 billion in volume, with a median trade of just $3.16. Across Ethereum, Solana, and XRP, median bets sat around $2 to $3. The barrier to entry is practically zero.

Sub-Category	Trading Volume (USD)	Number of Users	Median Trade (USD)
Bitcoin	$5.42B	593K	$3.16
Ethereum	$1.19B	294K	$3.11
Solana	$420M	185K	$2.73
XRP	$308M	132K	$2.67
Crypto (Other)	$279M	136K	$4.28
Memecoins	$5.6M	11K	$1.47

Polymarket crypto trading volume and users in Q1 2026

But here's the thing – crypto's share gradually drops as users get more active, falling to 36.8% among mid-tier traders. It's the most effective onboarding tool in the category, but it's not what keeps people around long-term.

As users go deeper, they shift toward real-world events – and sports leads the way. Sports participation rose from 22.7% among micro users to 29.2% among mid-tier users, while politics held steady at roughly 26–28% across all segments.

Retail trade size by category (Q1 2026)

Sports generated $10.1 billion in Q1 volume – the largest category on Polymarket. March alone surged 45%, driven by the NBA season and NCAA March Madness. The reason is structural: frequent games, clear outcomes, and emotional stakes create a natural loop where users watch, predict, and come back for the next one.

Sport Type	Trading Volume (USD)	Number of Users	Median Trade (USD)
Basketball	$4.01B	397K	~$6.30
Football (Soccer)	$2.84B	661K	~$5.00
Esports	$1.46B	198K	~$7.00
Ice Hockey	$691M	124K	$5.60
Tennis	$664M	73K	$5.71
American Football	$470M	108K	~$6.70
Combat Sports (e.g. UFC/MMA)	$128M	40K	~$8.30
Cricket	$106M	25K	$7.99
Baseball	$104M	31K	$5.07
Motorsports (e.g. F1)	$78M	37K	$4.21
Golf	$70M	40K	$3.71

Polymarket sports trading volume and users in Q1 2026

The reach is global. NBA led with $3.11 billion across 300,000 users. NCAA Basketball added $900 million. Football leagues, including the EPL ($540 million), Champions League ($448 million), and La Liga ($368 million) brought in significant international participation.

Within sports, esports deserves its own spotlight. League of Legends ($657 million), CS2 ($536 million), and Dota 2 ($209 million) collectively generated roughly $1.47 billion in Q1 – on par with some of the biggest traditional leagues.

Sub-Category	Sport Type	Trading Volume (USD)	Number of Users	Median Trade (USD)
NBA	Basketball	$3.11B	300K	$7.31
NCAA Basketball	Basketball	$900M	97K	$5.30
NHL	Ice Hockey	$691M	124K	$5.60
LoL	Esports	$657M	68K	$9.40
EPL	Football (Soccer)	$540M	117K	$5.60
CS2	Esports	$536M	72K	$6.12
Champions League	Football (Soccer)	$448M	123K	$6.65
NFL	American Football	$401M	97K	$5.25
La Liga	Football (Soccer)	$368M	97K	$5.48
Dota 2	Esports	$209M	35K	$6.35
Ligue 1	Football (Soccer)	$162M	40K	$5.88
UFC/MMA	Combat Sports	$110M	28K	$8.60
Cricket	Cricket	$106M	25K	$7.99
MLB	Baseball	$104M	31K	$5.07
Formula 1	Motorsports	$78M	37K	$4.21

Polymarket top 15 sport titles in Q1 2026

What sets esports apart is depth. Despite smaller user bases, median bet sizes run between $6 and $9+, consistently higher than football (~$5) or basketball (~$6). That signals stronger conviction per user and makes esports one of the most naturally aligned verticals for crypto-native prediction market audiences.

Across every category, one pattern holds: the more often users can engage, the more likely they are to come back.

Polymarket trading volume (USD billion)

Category	Jan'26	Feb'26	Mar'26	Q1 Total
Sports	$3.05B	$2.89B	$4.19B	$10.1B
Crypto	$1.91B	$2.39B	$2.96B	$7.3B
Politics	$1.49B	$1.51B	$1.98B	$5.0B
Pop Culture	$155M	$95M	$135M	$385M
Finance	$104M	$116M	$112M	$332M
Weather	$40M	$59M	$145M	$244M
Science & Tech	$36M	$39M	$41M	$117M

Polymarket trading volume by category (Q1 2026)

Sports leads this trend, but it extends further. Weather markets surged 263% in March, driven by daily prediction loops like temperature forecasts. Crypto, as an always-on market, generated $7.3 billion in Q1 (+55%). Politics grew to $5 billion (+33%), following steady news-driven cycles.

Prediction markets are shifting from one-off event trading to increasing adoption. Frequency drives retention and the categories with built-in recurrence are winning.

Beyond trading, prediction markets are starting to serve a bigger role: real-time pricing for global uncertainty.

Political markets generated $5 billion in Q1, with geopolitics alone accounting for $2.41 billion across 377,000 users. Elections contributed $942 million, but activity is no longer concentrated around singular moments. It reflects ongoing engagement with policy, trade relations, and macro developments.

Category	Jan'26	Feb'26	Mar'26	Q1 Total
Sports	$3.05B	$2.89B	$4.19B	$10.1B
Crypto	$1.91B	$2.39B	$2.96B	$7.3B
Politics	$1.49B	$1.51B	$1.98B	$5.0B
Pop Culture	$155M	$95M	$135M	$385M
Finance	$104M	$116M	$112M	$332M
Weather	$40M	$59M	$145M	$244M
Science & Tech	$36M	$39M	$41M	$117M

Polymarket crypto trading volume and users in Q1 2026

The ripple effect is showing up in how information flows. Prediction market probabilities are increasingly cited alongside polls, economic indicators, and analyst forecasts in mainstream coverage. These markets aren't just reflecting what people think but becoming part of how macro narratives take shape.

Prediction markets are moving from occasional trades to a thriving industry. The infrastructure is maturing. Categories are expanding. The challenge now isn't building more markets – it's helping users discover, interpret, and act on them with minimal friction.

That's what we're building toward at Bitget Wallet – AI-powered insights and smart money tracking baked directly into the experience, so you can go from opinion to action in seconds. As these markets become part of how people engage with the world every day, the interface that connects you to them matters more than ever.

Read the full report for the complete dataset by Dune Analytics and methodology.

Bitget Wallet is an everyday finance app designed to make crypto simple, secure, and usable in daily life. Serving over 90 million users worldwide, it offers an all-in-one self-custodial platform to send, spend, save and invest crypto. The app is powered by Onchain Payments Matrix, a coordination infrastructure connecting global financial rails to enable stablecoin payments at scale and programmable settlement for AI-driven transactions. Users can access crypto cards, QR payments, bank transfers, on- and off-ramps, and an in-app marketplace to spend digital assets across online and offline merchants. Backed by a $700 million user protection fund, Bitget Wallet supports faster, borderless onchain finance while ensuring users retain full control of their assets and private keys.

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