Overspending on proprietary feeds and connectivity far above cost to provide
Definition
Industry disclosures show that exchanges charge markups of 900–1,800% over cost for depth‑of‑book data, 2,000–4,200% for physical connectivity, and 500–1,800% for logical connectivity compared with a venue’s own cost to provide comparable services.[4] These recurring charges substantially increase operating costs for trading firms, broker‑dealers, and data vendors that depend on these feeds and connections.
Key Findings
- Financial Impact: For an active broker or trading firm purchasing multiple prop feeds and high‑performance connectivity, this can run into several million dollars per year in avoidable spend compared with cost‑reflective pricing.[4]
- Frequency: Monthly (recurring exchange invoices for data and connectivity)
- Root Cause: Market power and limited competition in proprietary market data and colocation services; opaque fee structures and limited cost‑based oversight allow exchanges to set high tariffs unrelated to marginal cost.[2][4]
Why This Matters
This pain point represents a significant opportunity for B2B solutions targeting Securities and Commodity Exchanges.
Affected Stakeholders
Heads of trading and execution, CIOs/CTOs of broker‑dealers and trading firms, Market data procurement and vendor management, Exchange connectivity and infrastructure teams, Buy‑side trading desks relying on vendor pass‑through costs
Deep Analysis (Premium)
Financial Impact
$1-2M annually in prop data overspend for surveillance operations. • $2-4M annually in unchallengeable overspend passed to providers. • $3-6M yearly aggregate overspend across data vendor members.
Current Workarounds
Ad hoc benchmarking and cost-justification using scattered spreadsheets, internal cost allocation models in Excel, emailed rate cards, and manual reconciliation of invoices against complex fee schedules instead of a systematic cost-reflective pricing framework. • Cost modeling in spreadsheets to justify SIP vs. prop feed decisions. • Limiting prop feed subscriptions and using shadow IT for data reconstruction.
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Methodology & Sources
Data collected via OSINT from regulatory filings, industry audits, and verified case studies.
Related Business Risks
Under‑licensed and under‑reported market data usage causing recurring revenue leakage
Complex fee and licensing structures driving billing disputes and rework
Delayed collections from disputed and manually reconciled market data invoices
Innovation and trading capacity constrained by high and rigid data licensing costs
Regulatory challenges and rule changes tied to conflicts of interest in market data sales
Unauthorized redistribution and gray‑market use of exchange market data
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