As market data suppliers multiply, competitive advantage is shifting away from proprietary platforms toward vendor-neutral interfaces. Here's why MCP, AI, and standardized data access could reshape the future of financial market infrastructure.

Replacing a legacy capital markets platform like Front Arena is costly, risky, and often unnecessary. By extending the core with a modern integration layer, banks can deliver real-time analytics, regulatory reporting, and digital client experiences while preserving the stability of their existing trading systems. The key is treating market data, reference data, and transaction data as distinct modernization challenges.

Europe's transition to T+1 settlement is far more than a one-day reduction in the settlement cycle. It is a fundamental transformation of market infrastructure, requiring greater automation, higher-quality data, and real-time post-trade operations across Europe's fragmented capital markets.

As AI agents, APIs and automated workflows increasingly consume market data directly, traditional user based licensing models are coming under pressure. This article explores why market data licensing must evolve from a human display model into a governance and control layer for machine driven data use, with stronger focus on non display usage, machine identity, entitlements, auditability and infrastructure level controls

At AsiaFIC 2026, a recurring theme emerged across discussions on agentic AI, interoperability, governance, and cloud infrastructure: AI readiness is increasingly becoming an architecture challenge. As financial institutions move from AI experimentation to production deployment, fragmented market data, inconsistent operational contexts, and disconnected enterprise systems are creating new barriers to scale. The firms best positioned for AI success may not be those with access

24/5 trading is no longer just about extending market hours. It reflects a deeper structural shift driven by global participation, evolving asset classes, and the growing demand for continuous access. As the debate intensifies, the real question is how markets will adapt their underlying structure to balance accessibility, liquidity, and stability.

Market data is reaching its AWS moment. What was once a procurement function—buying feeds and managing vendors—is becoming a strategic orchestration challenge. As AI expands data volumes and cloud delivery becomes standard, firms must move beyond ownership toward control. The competitive edge now lies in vendor-neutral integration, standardized data, cost transparency, and scalable governance. Infrastructure is no longer overhead—it is strategy.

As AI moves into production across financial services, Model Context Protocol (MCP) is emerging as a potential standard for AI-ready market data access, raising new questions about data delivery, governance, and interoperability.

Network topology impacts data distribution speed in microsecond trading. Learn how proximity hosting and intelligent routing eliminate latency bottlenecks.

Cloud migration isn't just about moving servers. Discover how financial services can reimagine market data infrastructure from first principles.