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Global Algorithmic Trading Spend (Databook)

Published by: Datamonitor

Published: Dec. 5, 2006 - 10 Pages


Table of Contents


OVERVIEW


CATALYST


SUMMARY


METHODOLOGY


GLOBAL ALGORITHMIC TRADING SPEND (DATABOOK)
Introduction
Sell-side front office trading and market data technology spend
Buy-side front office trading and market data technology spend
Sell-side algorithmic trading spend, split by product
Buy-side algorithmic trading spend, split by product

APPENDIX
Definitions
Extended methodology
Further reading
Ask the analyst
Datamonitor consulting

List of Tables
Table 1: Sell-side front office trading and market data technology spend
Table 2: Buy-side front office trading and market data technology spend
Table 3: Sell-side algorithmic trading spend, split by product
Table 4: Buy-side algorithmic trading spend, split by product

List of Figures
Figure 1: Sell-side front office trading and market data technology spend
Figure 2: Buy-side front office trading and market data technology spend
Figure 3: Sell-side algorithmic trading spend, split by product
Figure 4: Sell-side algorithmic trading spend, split by product
Figure 5: Buy-side algorithmic trading spend, split by product
Figure 6: Buy-side algorithmic trading spend, split by product

Abstract

Introduction

This databook will provide readers with a statistical and graphic overview of global front office trading technology spend, drilling further into algorithmic trading spending figures. The data will show splits between buy-side and sell-side institutions and also individual product areas.

Scope
  • Provides current and forecasted algorithmic trading spend data until 2009
  • Breaks down IT spend by product
Highlights

The buy-side's algorithmic trading spending figures will rise at a CAGR of 22.9% globally between the period 2005-2009.

Reasons to Purchase
  • Understand the size of front office technology spend globally
  • Understand the growth of algorithmic trading spend in different product areas
  • Plan your strategy with confidence drawing on forecasts in this report


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