Business Concepts
Prediction Markets: A Manager's Guide to Crowd Forecasting
A prediction market turns real-money bets into live probabilities. See how Kalshi and Polymarket's 2026 data stacks up against Fed and Wall Street forecasts.
A prediction market lets people trade contracts tied to the outcome of a real event, and the resulting price becomes a live probability. In 2026 these markets stopped being a curiosity. Kalshi and Polymarket now move more money in a single month than the entire legal U.S. sports betting industry averaged all through 2025.
Quick answer
A prediction market is a trading platform where people buy and sell contracts tied to a real event, and the market price acts as a probability. A 2026 Federal Reserve staff paper found Kalshi's odds on inflation and jobs data matched or beat professional economist surveys. For managers, that makes prediction markets a usable, if noisy, input alongside traditional forecasts.
Key takeaways
- Combined Kalshi and Polymarket volume hit $44.8 billion in June 2026, more than three times the average monthly handle across every legal U.S. sportsbook in 2025.
- A 2026 Federal Reserve staff paper found Kalshi's odds on CPI, payrolls and rate decisions matched or beat Bloomberg surveys and Fed funds futures.
- Academic research on Polymarket's earnings contracts found them less biased than Wall Street analyst consensus and faster to react to new price signals.
- The platforms are not interchangeable: sports contracts drive 80 to 87 percent of Kalshi's volume, while Polymarket's real depth sits in politics and world events.
- Bloomberg Terminal and Dow Jones now distribute this data, so institutional finance already treats prediction markets as a forecasting input.
What a prediction market actually is
Strip away the crypto branding and the mechanics are simple. Traders buy a contract that pays $1 if an event happens and $0 if it does not. The live price of that contract, somewhere between zero and one dollar, gets read directly as a probability.
That is the same logic economists call the wisdom of the crowd, except with real money attached instead of just an opinion. Cash at risk tends to punish sloppy guessing and reward people who actually hold better information. That edge over a normal opinion poll is the entire pitch behind treating these markets as a forecasting tool.
Businesses already lean on structured tools to turn uncertain information into a decision, from a paced decision making model to a full playbook of core concepts. A prediction market is simply one more input into that same process, not a replacement for it.
How big the market got in 2026
The scale shift happened fast. Kalshi and Polymarket posted a combined $44.8 billion in monthly volume by June 2026, according to data reported by FalconX. That is more than three times the roughly $14 billion average monthly handle across every legal U.S. sportsbook in 2025.
Sports contracts drove most of that surge. Polymarket's World Cup Winner market topped $4 billion in bets by July 8, 2026, the largest single sports market in the platform's history. Kalshi's own World Cup contract pulled in more than $800 million over the same stretch.
Retail platforms noticed the traffic. Robinhood's prediction markets product, built through a Kalshi partnership, became the company's fastest growing revenue line, with annualized revenue climbing roughly four times over in a single quarter to $435 million.
Do prediction markets actually forecast better than experts?
This is the question that actually matters for a manager, and the 2026 evidence is stronger than the hype around it. A Federal Reserve staff paper found Kalshi's implied probabilities on CPI, nonfarm payrolls, unemployment, GDP and Fed rate decisions matched or outperformed Bloomberg surveys, Blue Chip forecasts and Fed funds futures.
Kalshi's odds reportedly carried a perfect track record on the single most likely outcome heading into recent Fed rate decisions, based on Forbes reporting on the research. That is a stronger claim than most quarterly forecasting products ever make.
A separate academic paper on Polymarket's corporate earnings contracts found similar results. Contracts tied to whether a company beats its EPS estimate were less biased and more precise than analyst consensus. They also absorbed fresh stock price information faster than traditional forecasts typically update.
A market with real money on the line has no incentive to be polite about a bad forecast.
Kalshi vs Polymarket: pick the platform that matches your question
The two platforms are not interchangeable tools, and treating them that way is the most common mistake a manager will make. Each one has a different center of gravity, and that shapes which signal is actually worth trusting.
| Platform | Where the volume actually sits | Best use for a manager |
|---|---|---|
| Kalshi | Sports, roughly 80 to 87 percent of volume | Macro and Fed rate signals, despite the sports heavy book |
| Polymarket | Politics and world events | Election, regulatory and geopolitical risk questions |
Pew Research Center's 2026 analysis found sports made up 80 percent of Kalshi's volume since mid-2024, compared with just 39 percent on Polymarket, whose real strength is politics and world events. On Kalshi specifically, 87 percent of March 2026 volume, $9.9 billion of $11.39 billion, came from sports contracts alone.
That sports concentration does not automatically disqualify the Fed rate contracts, since the underlying economic markets still trade with enough volume to be informative on their own. It does mean a manager should check contract level volume before treating any single price as a clean signal.
How to actually use this signal at work
Treat a prediction market price the way you would treat one more analyst forecast, not an oracle. It belongs in the same business concepts toolkit as your internal planning assumptions and existing consensus estimates, not above them.
The data is already flowing into professional workflows. Polymarket signed a data distribution deal with Dow Jones consumer platforms in January 2026, following an earlier integration into the Bloomberg Terminal. Traders and analysts already see these odds sitting next to research on the 10 year treasury yield and other rate expectations.
For manufacturers already tracking overproduction risk in their supply chain, a heavily traded macro contract can flag a demand shift before the internal numbers catch up.
Retail platforms are following the same cautious path. Wealthsimple is piloting a Wealthsimple Predict product for Canadian investors, limited to economic indicator, financial and climate contracts. That is a narrower and more defensible scope than a general betting platform.
The real risks before you rely on it
None of this makes prediction markets a clean substitute for your own forecasting process. Documented insider trading cases, including a bet tied to advance knowledge of Nicolas Maduro's capture, show these markets can be manipulated by people holding private information.
Thin liquidity on niche contracts is the other trap. A market with only a few thousand dollars in open interest can be moved by a single large bettor, which makes the price far less reliable than a heavily traded contract like a Fed rate decision or a World Cup winner.
Use prediction markets as a supplementary check, not a primary planning tool. The same discipline that applies to any single data source, verify before you commit, applies here too. Running a proper SWOT analysis before a big call still matters more than one probability on a screen.
Frequently asked questions
What makes a prediction market different from a normal opinion poll?
Real money on the line, often called skin in the game, gives traders a financial incentive to be accurate rather than just vocal. That incentive tends to aggregate distributed information into a single probability faster and with less bias than an unpaid poll.
Do prediction markets actually beat the Fed and Wall Street economists?
On several key indicators, yes. A 2026 Federal Reserve staff paper found Kalshi's odds on CPI, jobs data, GDP and Fed rate decisions matched or outperformed Bloomberg surveys, Blue Chip forecasts and Fed funds futures.
Can prediction markets predict company earnings better than analysts?
Academic research on Polymarket's earnings contracts found them less biased and more precise than Wall Street analyst consensus. They also absorbed new stock price information faster than typical forecast updates.
Is Kalshi or Polymarket the better platform for business forecasting?
It depends on the question. Kalshi's book is 80 to 87 percent sports, so its Fed and macro contracts trade in a smaller pool, while Polymarket's real depth sits in politics and world events, making it the stronger choice for those questions.