About a-team Marketing Services
The knowledge platform for the financial technology industry
The knowledge platform for the financial technology industry

A-Team Insight Blogs

European Exchanges’ Reliance on Market Data Revenues Stifles Growth and Innovation, MSP Study Finds

Subscribe to our newsletter

A study by Market Structure Partners (MSP) has highlighted how Europe’s largest stock exchanges are increasingly relying on market data sales to maintain overall revenues despite a significant downturn in equity trading volumes, market share, and customer base. The research, commissioned by a coalition of trade and industry associations, critiques the evolving fee structures of Deutsche Börse, Euronext, London Stock Exchange Group (LSEG), Nasdaq Nordics, and SIX Swiss Exchange, suggesting that these practices stifle market growth and innovation.

The report notes that total equity market revenues, which comprise both trading and market data income, have remained relatively stable due to rising market data fees. This trend persists even though the costs associated with producing and disseminating market data have not materially increased, and many exchanges continue to operate on decade-old trading platforms.

“We’re essentially arguing that market data should be free because it wouldn’t exist without trading,” says Niki Beattie, CEO of MSP. “In a competitive trading market but a non-competitive data market, incumbent exchanges profit from mandatory data purchases, which means that while trading fees are under pressure, data fees are not.  This is stifling innovation and competition. Alternative venues also rely on data to attract business, yet incumbents justify their data charges as cost recovery while overlooking that these other venues face costs that can mostly only be recovered from trading fees.”

The study points to complex and arbitrary fee structures, with pricing varying based on data consumption methods, user types, competitive status, and device usage. Notably, machine-based data usage is now 35 to 97 times more expensive than human-based usage compared to 2017. Competitors such as alternative trading platforms and independent index providers have faced the steepest increases, with non-display data costs rising by up to 481% for trading platforms, and index providers facing increases of 97% to 170% across multiple exchanges.

“Hundreds of thousands of end users access market data through third-party vendors that bear the costs of dissemination, not the exchanges,” points out Beattie. “Yet, exchanges impose premiums unrelated to their own costs—such as fees for machine usage or multiple devices—even though users provide and maintain that hardware. Since exchanges already recover their costs through trading fees, charging based on how businesses use data or how many people access it is unjustified. We spoke to small fintech businesses who say navigating the complexities in contracts can cause indeterminate financial risks that prevent businesses from getting off the ground.”

The report calls for regulatory intervention to ensure that market data pricing aligns with trading activity, proposing that data be treated as a by-product of trading rather than a standalone revenue stream. Without such measures, MSP argues that legislative action may be necessary to refocus exchanges on market growth and ensure greater transparency in data fee structures across the financial ecosystem.

Beattie emphasises that making market data free would resolve many issues and accelerate the creation of a consolidated tape. “Regulators often ask whether a consolidated tape would solve these problems, but that’s putting the cart before the horse. Addressing data costs first would remove vested interests, allowing any technology provider to deliver consolidated data. If regulators cannot make data free, they must establish clear definitions for exchange and trading venue licenses—and revoke them when behaviours undermine market integrity.”

Subscribe to our newsletter

Related content

WEBINAR

Upcoming Webinar: Navigating the Build vs Buy Dilemma: Cloud Strategies for Accelerating Quantitative Research

Date: 20 May 2026 Time: 10:00am ET / 3:00pm London / 4:00pm CET Duration: 50 minutes For many quantitative trading firms and asset managers, building a self-provisioned historical market data environment remains one of the most time-consuming and resource-intensive steps in establishing a new research capability. Sourcing data, normalising symbologies, handling corporate actions and maintaining...

BLOG

Market Data Users Flag ‘Important Gaps’ in EU Consolidated Tape Plans

As the European Union forges ahead with its ambitious plan for a consolidated tape (CT), key market data user groups have raised concerns, identifying “important gaps” in the current framework. In a joint letter to the European Securities and Markets Authority (ESMA) and the European Commission, EFAMA, EPTA, and Protiviti have outlined a series of...

EVENT

AI in Capital Markets Summit London

Now in its 3rd year, the AI in Capital Markets Summit returns with a focus on the practicalities of onboarding AI enterprise wide for business value creation. Whilst AI offers huge potential to revolutionise capital markets operations many are struggling to move beyond pilot phase to generate substantial value from AI.

GUIDE

Complex Event Processing

Over the past couple of years, Complex Event Processing has emerged as a hot technology for the financial markets, and its flexibility has been leveraged in applications as diverse as market data cleansing, to algorithmic trading, to compliance monitoring, to risk management. CEP is a solution to many problems, which is one reason why the...