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

A-Team Insight Briefs

New Exegy Whitepaper Quantifies High Cost of In-House FPGA Market Data Infrastructure

Subscribe to our newsletter

Exegy has released the second part of its whitepaper detailing the true cost of market data infrastructure. The report quantifies the high expense for firms building and maintaining their own FPGA-based market data feed handlers. Key findings show a firm’s first in-house handler costs approximately $5.35 million, with full North American equities coverage (18 markets) totalling nearly $9.8 million. This is over five times more expensive than Exegy’s equivalent service. Annual maintenance for an in-house system is estimated at $4.59 million, more than double Exegy’s managed service costs.

The report also highlights the significant time investment, estimating 3.5 years for the first handler and 6.5 years for full coverage, compared to 6 months and 20 months respectively with Exegy. This diverts valuable engineering resources from core strategies. Exegy’s new Nexus platform is presented as a solution, using FPGA hardware to deliver ultra-low latency and 36% lower operational costs. It provides the performance benefits of an in-house build without the associated cost, time, and maintenance burden.

Subscribe to our newsletter

Related content

WEBINAR

Upcoming Webinar: Optimising cloud, marketplaces & managed data services

Date: 30 June 2026 Time: 10:00am ET / 3:00pm London / 4:00pm CET Duration: 50 minutes Financial institutions are under mounting pressure to rethink how they source, manage and distribute market data. Rising data volumes, multi-cloud adoption and the operational demands of regulations such as DORA are exposing the limits of legacy infrastructure, and driving...

BLOG

Why Data Governance Is Becoming Critical to the Modern Market Data Stack

The rapid expansion of alternative and specialised market datasets is transforming how financial institutions source, analyse and operationalise information. Alongside traditional market data feeds from exchanges and major vendors, firms now consume a growing array of niche datasets supporting quantitative research, AI workflows and investment decision-making. This surge in data consumption is creating new operational...

EVENT

Eagle Alpha Alternative Data Conference, London, hosted by A-Team Group

Now in its 8th year, the Eagle Alpha Alternative Data Conference managed by A-Team Group, is the premier content forum and networking event for investment firms and hedge funds.

GUIDE

AI in Capital Markets Handbook 2026

AI adoption in capital markets has moved into a more disciplined phase. The priority is now controlled deployment: where AI can be used safely, where it can deliver measurable value, and how outputs can be governed, monitored and evidenced. The 2026 edition of the AI in Capital Markets Handbook examines how AI is being applied...