Zema Global Expands Commodity Data With Marex
The partnership integrates extensive commodity pricing and historical data into Zema Global’s data infrastructure.
Updated on Oct. 20, 2026 in Oil and Gas
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Zema Global has expanded its partnership with Marex to integrate a wide array of pricing, curve, and historical datasets into its decisioning infrastructure. The collaboration covers commodity markets across Europe, North America, and Asia.
Why it matters
This partnership enables customers to access a broader environment for commodity valuation, trading, and risk management workflows. It aims to reduce the technical burden of integrating external market data into existing business platforms.
The integrated datasets cover a broad spectrum of energy and industrial products, including crude oil, refined products, petrochemicals, LNG, and renewable energy credits. Marex provides daily curves and live market data for these sectors.
The players
Zema Global
Zema Global is a technology provider specializing in data infrastructure for commodity and energy markets.
Marex
Marex is a financial services firm that provides brokerage, liquidity provision, and market price discovery.
The details
Zema Global's infrastructure ingests and organizes these data sources, including brokerage and price discovery services from Marex, for direct use in client risk systems. The datasets span essential energy categories such as natural gas, coal, freight, and biofuels.
Timeline
The companies announced the expansion of the data partnership on October 20, 2026.
Market Landscape
This collaboration reflects the ongoing industry trend toward data-silo consolidation in commodity trading platforms. It positions Zema Global to compete more effectively by providing a more comprehensive decision environment against rivals in the sector.
Clients using Zema Global infrastructure will likely experience improved workflow efficiency when accessing Marex market data. This change reduces the manual technical work typically required to incorporate external pricing sources into internal risk models.
The takeaway
Centralizing disparate market datasets into a single infrastructure can significantly streamline complex commodity trading operations. Businesses should evaluate how such automated integrations reduce their internal technical overhead and data management costs.
Further reading
For more on industry infrastructure, see the latest updates in our Oil and Gas section.
Source note: This article includes information reported by FinanceFeeds.
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