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Whitepaper · Market data

The $50 Billion
Question.

At a glance

  • $80–⁠150M

    Annual market data spend

    Range observed at Tier-1 asset managers. Industry estimates 2025–2026.

  • 15–⁠30%

    Typical savings range

    Market data spend, through cost savings and avoidance, across engagements led by the Paraxis practitioners. Client specifics under NDA.

  • ~20%+

    Recent fee growth

    Increase in licensing fees over recent three-year periods. Major vendor disclosures.

Why your spend rises even when you cut users.

Formerly circulated as “The $44 Billion Question.” Renamed for 2026 to reflect the current industry spend figure. The analysis, structural forces, and playbook below are the current revision.

Global spending on financial market data and news reached a record $49.2B in 2025 and, at the industry’s trend growth rate, will top $50 billion in 2026. For market data managers, that figure is more than a headline. It reflects a difficult operating reality: renewal increases often feel automatic, new licensing categories can appear mid-cycle, and costs continue to rise even as headcount and user counts decline.

The blunt truth is that market data inflation is increasingly structural. It is not primarily about “too many terminals.” It is about a market that now monetizes systems (non-display and application usage), reach (redistribution inside platforms and downstream channels), outputs (derived data, calculated values, evaluated services), and business success (index and benchmark fees that rise with AUM and product linkage).

Market data is a metered utility. If your meters are weak, your costs will drift upward regardless of procurement heroics.

What the paper covers

  • Why renewal uplifts feel automatic, even when headcount and terminal counts decline.
  • The structural shift to monetizing systems, reach, outputs, and business success, not seats.
  • Where vendor leverage hides in usage rights, redistribution, and audit terms.
  • The four moves that deliver durable savings without disrupting mission-critical access.
  • How to build a procurement calendar that runs itself across renewals, audits, and governance.

Key findings

The structural forces pushing market data costs higher.

  • Exchanges are optimizing data economics

    Data revenue is contractual, recurring, and resilient compared with trading fees. When trading activity softens, data revenue matters more, so expect persistent price pressure and ever-finer fee segmentation.

  • Non-display became capability pricing

    Non-display and new-original-works licensing evolved from a narrow exception into a framework that prices systems, outputs, and distribution breadth. Reclassification creates step-function cost increases.

  • Internal platforms turn efficiency into fee exposure

    Centralizing data and enabling broader access is modernization operationally, and expanded reach commercially. That reach is exactly what modern licensing models monetize.

  • Vendor ecosystems create enterprise dependency

    Integrated data, analytics, workflow, and API platforms raise switching costs and encourage multi-homing. Spend stays sticky until overlap is attacked by function, not just by contract.

  • Index and benchmark data is a success-linked toll road

    AUM-linked pricing with minimums and breakpoints means benchmark costs rise as products grow, even when the data feels unchanged. Product strategy is now market data cost strategy.

  • AI is re-opening the "who is the user" question

    Vendors are writing AI use into license language directly. The safe assumption: an AI copilot or agent querying licensed data is a separately licensable consumer, not a free extension of a seat.

The five leakage points that keep spend sticky.

Across buy-side and sell-side firms, the same leak points appear. Fixing these is where durable savings come from:

  • Duplicate delivery paths: the same content arriving via terminal, feed, managed solution, and API, each with its own commercial logic.
  • Non-display sprawl: applications multiply while licensing classification is not enforced at design time.
  • Stale access and slow offboarding: entitlements persisting after role changes and migrations.
  • Platform fan-out without licensing boundaries: internal APIs and data lakes redistributing beyond the intended scope.
  • Negotiation before cleanup: negotiating against a messy baseline, so savings rebound because the leakage remains.

Negotiation is leverage only after you control your perimeter. Otherwise, you are negotiating in fog. And fog is expensive.

The full paper details the six-pillar framework behind durable savings — usage transparency, perimeter control, demand shaping, distribution engineering, evidence-based negotiation, and cost avoidance — and the licensing-model shifts each pillar answers. Across engagements led by the Paraxis practitioners, the portfolio outcome of that framework has typically landed in the 15–30% range through savings and avoidance combined. Request the paper above, or start a conversation with the practitioners behind it via the cost-optimization practice.