A new research study from HTF MI with title Global Algorithmic Trading Market Size, Status and Forecast 2019-2025 provides an in-depth assessment of the Algorithmic Trading including key market trends, upcoming technologies, industry drivers, challenges, regulatory policies, key players company profiles and strategies. The research study provides forecasts for Algorithmic Trading investments till 2022.
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If you are involved in the Algorithmic Trading industry or intend to be, then this study will provide you comprehensive outlook. It’s vital you keep your market knowledge up to date segmented by Investment Banks, Funds, Personal Investors & Others, , On-Premise & Cloud-Based and major players. If you have a different set of players/manufacturers according to geography or needs regional or country segmented reports we can provide customization according to your requirement.
Algorithmic Trading are mainly used in investment banks, pension funds, mutual funds, hedge funds, etc. And investment banks were the most widely used area which took up about 48% of the global total in 2016.
USA is the largest countries of Algorithmic Trading (trading service) in the world in the past few years and it will keep increasing in the next few years. USA market took up about 52% the global market in 2016, while Europe was about 40%.
USA, Germany, UK, France, Belgium, Canada, Japan, etc. are now the key developers of Algorithmic Trading. There are some vendors with poor quality products in China, but the Chinese market is still much smaller than the USA at present.
Top 10 took up more than 50% of the global market in 2016. Virtu Financial, KCG, DRW Trading, Optiver, IMC, Flow Traders, etc. which have leading technology and market position, are well-known suppliers around the world.
In 2018, the global Algorithmic Trading market size was xx million US$ and it is expected to reach xx million US$ by the end of 2025, with a CAGR of xx% during 2019-2025.
This report focuses on the global Algorithmic Trading status, future forecast, growth opportunity, key market and key players. The study objectives are to present the Algorithmic Trading development in United States, Europe and China.
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The Study is segmented by following Product Type: , On-Premise & Cloud-Based
Major applications/end-users industry are as follows: Investment Banks, Funds, Personal Investors & Others
Geographically, this report is segmented into several key Regions such as United States, Europe, China, Japan, Southeast Asia, India & Central & South America, with production, consumption, revenue (million USD), and market share and growth rate of Global Algorithmic Trading in these regions, from 2012 to 2022 (forecast)
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Major companies covered in the report: Virtu Financial, DRW Trading, Optiver, Tower Research Capital, Flow Traders, Hudson River Trading, Jump Trading, RSJ Algorithmic Trading, Spot Trading, Sun Trading, Tradebot Systems, IMC, Quantlab Financial & Teza Technologies
This study also contains company profiling, product picture and specifications, sales, market share and contact information of various international, regional, and local vendors of Global Algorithmic Trading Market. The market competition is constantly growing higher with the rise in technological innovation and M&A activities in the industry. Moreover, many local and regional vendors are offering specific application products for varied end-users. The new vendor entrants in the market are finding it hard to compete with the international vendors based on quality, reliability, and innovations in technology.
Some of the key questions answered in this report:
– Detailed Overview of Global Algorithmic Trading market helps deliver clients and businesses making strategies.
– Influential factors that are thriving demand and constraints in the market.
– What is the market concentration? Is it fragmented or highly concentrated?
– What trends, challenges and barriers will impact the development and sizing of Algorithmic Trading market?
– SWOT Analysis of each key players mentioned along with its company profile with the help of Porter’s five forces tool mechanism to compliment the same.
– What growth momentum or acceleration market carries during the forecast period?
– Which region is going to tap highest market share in future?
– What Application/end-user category or Product Type may see incremental growth prospects?
– What would be the market share of key countries like United States, France, UK, Germany, Italy, Canada, Australia, Japan, China or Brazil etc.?
– What focused approach and constraints are holding the market tight?
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There are 15 Chapters to display the Global Algorithmic Trading market.
Chapter 1, About Executive Summary to describe Definition, Specifications and Classification of Algorithmic Trading market, Applications [Investment Banks, Funds, Personal Investors & Others], Market Segment by Regions;
Chapter 2, to analyze objective of the study.
Chapter 3, to display Research methodology and techniques.
Chapter 4 and 5 , to show the Overall Market Analysis, segmentation analysis, characteristics;
Chapter 6 and 7, to show the Market size, share and forecast; Five forces analysis (bargaining Power of buyers/suppliers), Threats to new entrants and market condition;
Chapter 8 and 9, to show analysis by regional segmentation[United States, Europe, China, Japan, Southeast Asia, India & Central & South America ], comparison, leading countries and opportunities; Regional Marketing Type Analysis, Supply Chain Analysis
Chapter 10, focus on identifying the key industry influencer’s, overview of decision framework accumulated through Industry experts and strategic decision makers;
Chapter 11 and 12, Market Trend Analysis, Drivers, Challenges by consumer behavior, Marketing Channels and demand & supply.
Chapter 13 and 14, describe about the vendor landscape (classification and Market Positioning)
Chapter 15, deals with Global Algorithmic Trading Market sales channel, distributors, traders, dealers, Research Findings and Conclusion, appendix and data source.
Thanks for reading this article; you can also get individual chapter wise section or region wise report version like North America, Europe or Asia.
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