Market Research Future (MRFR), in its latest report on the Algorithm Trading Market 2020, discusses multiple factors govern the market. A complete analysis on the impact of COVID 19 on the algorithm trading market is availed along with the report. As per MRFR findings, the algorithm trading market value can exceed USD 9.2 billion on the conclusion of the analysis period. The algorithm trading market is expected to thrive at 12.5% CAGR in the forecast period. The surge in the application of automated trading software by top notch financial firm can support the market rise.
The segment evaluation of the global algorithm trading market is done by organization size, trading type deployment mode, and component.
The component based segments of the global algorithm trading global market are solutions and services. The solution segments are platform and software tools. The services segments of the algorithm trading global market are professional services and managed services. The increase in the need for algorithm trading services and solutions can impel the rise of the market.
The trading type based segments of the algorithm trading market are stock markets, foreign exchange, bonds, exchange-traded funds, and crypto currencies. The deployment mode based segments of the algorithm trading global market are cloud and on-premise. The high utility of algorithm trading on cloud platform can promote the expansion of the algorithm trading global market through the analysis period. The organization size based segments of the algorithm trading global market are large enterprise and SMEs. The increase in the adoption of algorithm trading solution by SMEs can support the rise of the market across the analysis period.
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The trends of the algorithm trading market is done across EU, North America, Middle East and Africa, APAC, and South America.
The presence of effective technologies across the North America region is expected to bolster the rise of the regional market. The algorithm trading market in North America is likely to hold the highest share of the global market across the forecast period. The availability of top notch technical expertise and the continuous development in algorithm on Python, MATLAB, Perl, C++, and JAVA can impel the rise of North America algorithm trading market. In Asia Pacific, the rise of the algorithm trading global market through the assessment period can be credited to the continuous digital transformation in the financial sectors. The rise in the dependency on cloud computing is anticipated to support the rise of the algorithm trading market across the assessment period. In addition, the ability of trading software to function on multiple platforms such as mobile and desktops devices can promote the expansion of APAC market. In Europe, the growing popularity of software as a service (SaaS) models that enable end users to store and easily accesses data on devices can promote the rise of the regional market in the years ahead. The higher scalability and accessibility offered by cloud-based trading software can promote the expansion of the regional market. Europe algorithm trading platform market expansion can be attributed to the increase in the integration of machine learning and artificial intelligence in algorithm trading platform.
Tethys (US), Kuberre Systems (US), Thomson Reuters (US), Symphony Fintech (India), InfoReach (US), 63 moons (India), Argo SE (US), Automated Trading SoftTech (India), Vela (US), MetaQuotes Software (Cyprus), Trading Technologies (US), Tata Consulting Services (India), Tata Consulting Services (India), QuantCore Capital Management (China), uTrade (India), Virtue Financial (US), iRageCapital (India), and Software AG (Germany) are some notable names in the Automated Algorithmic Trading System market as profiled by MRFR.
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Table of Contents
1 Executive Summary
2 Scope of The Report
2.1 Market Definition
2.2 Scope of The Study
2.2.1 Research Objectives
2.2.2 Assumptions & Limitations
2.3 Market Structure
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