.jpg)
Prediction Markets’ Institutional Pivot
Feb 2025
Rapid growth across event-based platforms is drawing attention from established exchanges and professional participants. Matt Barrett, CEO at Adaptive, looks at how long-term credibility depends on hard-won lessons from earlier digital market cycles
Image: Adaptive
The fork in the road
The trajectory of prediction markets today — soaring valuations and explosive growth — feels strikingly familiar.
It mirrors the early days of the crypto markets circa 2017–20, with massive innovation coexisting with a regulatory and reputational ambiguity.
The recent US$2 billion investment in Polymarket by Intercontinental Exchange (ICE), the parent company of the NYSE, and alliance between FanDuel and CME Group, could be seen as the prediction market industry’s institutional on-ramp moment. It validates the asset class, not just as a data source, but as a tool for financial risk management.
For institutional players, that infrastructure unlocks use cases beyond politics and sport: real‑time probabilities can inform hedging and risk transfer for weather and climate‑driven exposures (e.g. temperature bands, severe storm frequency), commodity‑adjacent events (e.g. crop yields, shipping bottlenecks, refinery outages), and macro‑policy scenarios (e.g. rate decisions, regulatory rulings). And because ICE intends to distribute event‑driven data to professional buyers, these signals can flow directly into risk, research, and execution pipelines. But validation carries a warning: institutional adoption does not forgive the mistakes of the past; it demands a radical, proactive course correction.
Prediction markets have a unique advantage: they can learn from the painfully expensive lessons that early crypto was forced to learn the hard way. The choice now is between repeating the uncertainty or skipping straight to institutional adoption and compliance.
Learning 1: Prioritise accountability
Early crypto was defined by the rallying cry of ‘code is law’, often leading to a focus on total decentralisation and anonymity at the expense of necessary checks and balances. This resulted in friction, major exchange collapses, and outright regulatory retaliation.
The lesson for prediction markets: Unregulated growth is not viable for a US$100 billion financial asset class.
The Commodity Futures Trading Commission’s (CFTC’s) 2022 settlement with Polymarket is the clearest signal yet.
It confirmed that, where markets look like financial derivatives, regulators will treat them as such. Prediction market operators cannot wait for enforcement to define their perimeter.
They must build compliance from day one, designing their platforms for the licenses and registrations needed.
This proactive stance requires embedding real-time Know Your Client (KYC)/anti-money laundering (AML) features and sophisticated market surveillance into the system, not as an afterthought, but as a core modular component.
Learning 2: Scaling for resilience, not novelty
The early phases of crypto markets focused heavily on rapid experimentation and protocol diversity, often outpacing the development of comprehensive security and risk management frameworks. The resulting technical vulnerabilities and instances of market disruption highlighted the need for greater foundational stability as the sector was looking to mature and attract institutional capital.
The lesson for prediction markets: Resilience is the price of entry to Wall Street.
Institutional investors do not tolerate the downtime or market manipulation risks that plagued early crypto. They require the operational reliability of traditional financial systems, demanding five-nines (99.999 per cent) uptime.
Prediction market technology must be engineered to:
- Operate reliably, around the clock, riding out traffic spikes and performing system upgrades without downtime — the standard for mission-critical systems.
- Maintain observability and security, allowing operators to resolve infrastructure issues before users feel them.
At Adaptive, we see the solution in cloud-native, modular architectures. By adopting the component-based, modular systems used in TradFi, prediction markets can ensure high-availability and prevent localised failure from jeopardising the entire platform.
Learning 3: Converting data into trust, not vice versa
As the new breed of Prediction Market operators consider how to meet the demands of CFTC regulation beyond system safeguards and disaster recovery, attention must turn to the obligation to provide reports for regulatory oversight.
The lesson for prediction markets: The data must be trusted, not just fast.
Prediction market infrastructure must establish a clear, single sequence of events — a transaction log that allows the firm, and any regulator, to replay exactly what happened if there is a dispute. This allows the institutional community to inspect and verify the market’s fairness and move toward transparency.
Adaptive’s blueprint: Skipping the growing pains
The good news is that prediction markets have the gift of foresight. They can skip the chaotic first phase of the learning curve and adopt the formula that unlocked institutional capital for crypto: compliance, transparency, and resilience first.
By leveraging decades of experience building and deploying complex, modular trading systems for TradFi and leading crypto exchanges, Adaptive provides the secure, high-performant, cloud-native tech stack required. We offer the blueprint that allows new exchanges and trading participants to hit the ground running, ready for the rigor of Wall Street today. The time for building the institutional-grade infrastructure for prediction markets is now, ensuring this powerful new asset class fulfills its potential as a mature and regulated financial tool.
The trajectory of prediction markets today — soaring valuations and explosive growth — feels strikingly familiar.
It mirrors the early days of the crypto markets circa 2017–20, with massive innovation coexisting with a regulatory and reputational ambiguity.
The recent US$2 billion investment in Polymarket by Intercontinental Exchange (ICE), the parent company of the NYSE, and alliance between FanDuel and CME Group, could be seen as the prediction market industry’s institutional on-ramp moment. It validates the asset class, not just as a data source, but as a tool for financial risk management.
For institutional players, that infrastructure unlocks use cases beyond politics and sport: real‑time probabilities can inform hedging and risk transfer for weather and climate‑driven exposures (e.g. temperature bands, severe storm frequency), commodity‑adjacent events (e.g. crop yields, shipping bottlenecks, refinery outages), and macro‑policy scenarios (e.g. rate decisions, regulatory rulings). And because ICE intends to distribute event‑driven data to professional buyers, these signals can flow directly into risk, research, and execution pipelines. But validation carries a warning: institutional adoption does not forgive the mistakes of the past; it demands a radical, proactive course correction.
Prediction markets have a unique advantage: they can learn from the painfully expensive lessons that early crypto was forced to learn the hard way. The choice now is between repeating the uncertainty or skipping straight to institutional adoption and compliance.
Learning 1: Prioritise accountability
Early crypto was defined by the rallying cry of ‘code is law’, often leading to a focus on total decentralisation and anonymity at the expense of necessary checks and balances. This resulted in friction, major exchange collapses, and outright regulatory retaliation.
The lesson for prediction markets: Unregulated growth is not viable for a US$100 billion financial asset class.
The Commodity Futures Trading Commission’s (CFTC’s) 2022 settlement with Polymarket is the clearest signal yet.
It confirmed that, where markets look like financial derivatives, regulators will treat them as such. Prediction market operators cannot wait for enforcement to define their perimeter.
They must build compliance from day one, designing their platforms for the licenses and registrations needed.
This proactive stance requires embedding real-time Know Your Client (KYC)/anti-money laundering (AML) features and sophisticated market surveillance into the system, not as an afterthought, but as a core modular component.
Learning 2: Scaling for resilience, not novelty
The early phases of crypto markets focused heavily on rapid experimentation and protocol diversity, often outpacing the development of comprehensive security and risk management frameworks. The resulting technical vulnerabilities and instances of market disruption highlighted the need for greater foundational stability as the sector was looking to mature and attract institutional capital.
The lesson for prediction markets: Resilience is the price of entry to Wall Street.
Institutional investors do not tolerate the downtime or market manipulation risks that plagued early crypto. They require the operational reliability of traditional financial systems, demanding five-nines (99.999 per cent) uptime.
Prediction market technology must be engineered to:
- Operate reliably, around the clock, riding out traffic spikes and performing system upgrades without downtime — the standard for mission-critical systems.
- Maintain observability and security, allowing operators to resolve infrastructure issues before users feel them.
At Adaptive, we see the solution in cloud-native, modular architectures. By adopting the component-based, modular systems used in TradFi, prediction markets can ensure high-availability and prevent localised failure from jeopardising the entire platform.
Learning 3: Converting data into trust, not vice versa
As the new breed of Prediction Market operators consider how to meet the demands of CFTC regulation beyond system safeguards and disaster recovery, attention must turn to the obligation to provide reports for regulatory oversight.
The lesson for prediction markets: The data must be trusted, not just fast.
Prediction market infrastructure must establish a clear, single sequence of events — a transaction log that allows the firm, and any regulator, to replay exactly what happened if there is a dispute. This allows the institutional community to inspect and verify the market’s fairness and move toward transparency.
Adaptive’s blueprint: Skipping the growing pains
The good news is that prediction markets have the gift of foresight. They can skip the chaotic first phase of the learning curve and adopt the formula that unlocked institutional capital for crypto: compliance, transparency, and resilience first.
By leveraging decades of experience building and deploying complex, modular trading systems for TradFi and leading crypto exchanges, Adaptive provides the secure, high-performant, cloud-native tech stack required. We offer the blueprint that allows new exchanges and trading participants to hit the ground running, ready for the rigor of Wall Street today. The time for building the institutional-grade infrastructure for prediction markets is now, ensuring this powerful new asset class fulfills its potential as a mature and regulated financial tool.
NO FEE, NO RISK
100% ON RETURNS If you invest in only one digital assets news source this year, make sure it is your free subscription to The Digital Assets Edge
100% ON RETURNS If you invest in only one digital assets news source this year, make sure it is your free subscription to The Digital Assets Edge
