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

A-Team Insight Blogs

Exchanges Increase Market Data Revenue at Greater Rate than Traditional Vendors

Subscribe to our newsletter

The acquisition of Interactive Data (IDC) by Intercontinental Exchange (ICE) will make ICE the third largest market data vendor after Bloomberg and Thomson Reuters. It will also increase exchanges’ market data revenue, which in 2014 rose 12.05% to $3.26 billion. In the same period, traditional data vendors grew market data revenue by 4.07% to close on $27 billion.

Despite the 2014 gap in market data revenue between exchanges and traditional data vendors, Burton-Taylor International Consulting, a specialist in the financial market data space, expects further convergence of market data sales and distribution to increase competition between traditional vendors and exchanges.

The consultancy forecasts the future of the financial market data industry in a report entitled ‘Global Market Data Convergence – 2015’, which shows a five-year compound annual growth rate of 3.3% for traditional market data revenue and 6.3% for exchange market data revenue.

Breaking down 2014 market data revenue generated by traditional vendors, the reports shows that the Americas accounted for 46.2%, ahead of EMEA on 36.3% and Asia on 17.8%. Asia showed the greatest growth at 6.64% and EMEA the least at 1.74%. In terms of market segments, investment management and fixed income sales and trading delivered the strongest growth in 2014, driven by the need for pricing, reference and valuation data.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: Streamlining trading and investment processes with data standards and identifiers

Financial institutions are integrating not only greater volumes of data for use across their organisation but also more varieties of data. As well, that data is being applied to more use cases than ever before, especially regulatory compliance and ESG integration. Due to this increased complexity of institutions’ data needs, however, information often arrives into...

BLOG

13 Leading AI-Based Data Management Capability Providers

Institutions are facing huge operational burdens as they ingest huge volumes of data, demand real-time analytics and face stringent regulatory scrutiny. Consequently, the new data landscape is rendering traditional data management systems inadequate for the growing number of use cases to which data is being deployed. This has necessitated a shift towards modern data management...

EVENT

AI in Capital Markets Summit London

The AI in Capital Markets Summit will explore current and emerging trends in AI, the potential of Generative AI and LLMs and how AI can be applied for efficiencies and business value across a number of use cases, in the front and back office of financial institutions. The agenda will explore the risks and challenges of adopting AI and the foundational technologies and data management capabilities that underpin successful deployment.

GUIDE

Enterprise Data Management

The current financial crisis has highlighted that financial institutions do not have a sufficient handle on their data and has prompted many of these institutions to re-evaluate their approaches to data management. Moreover, the increased regulatory scrutiny of the financial services community during the past year has meant that data management has become a key...