A Billion-Dollar ($11837 Mn) Boom in Algorithmic Trading: Market Motivates the Market Leaders - Virtu Financial, DRW Trading, Tower Research Capital, Flow Traders, Hudson River Trading, Jump Trading

The report Algorithmic Trading accentuates the various market segment. It also provides extensive researches on market drivers, restrains, opportunities, request factors, market size, estimations, and patterns influencing the global market over the given time period. Besides, Algorithmic Trading also gives overview of the advantages and disadvantages of the technology which is affecting the market and also includes in-depth analysis of major players operating in the market.

This report studies the Algorithmic Trading market status and outlook of global and major regions, from angles of players, regions, product and end Application/industries; this report analyzes the top players in global and major regions, and splits the Algorithmic Trading market by product and Application/end industries.

The global Algorithmic Trading market is valued at 9507 million USD in 2016 and is expected to reach 11837 million USD by the end of 2022, growing at a CAGR of 3.71% between 2016 and 2022.

The Asia-Pacific will occupy for more market share in following years, especially in China, also fast growing India and Southeast Asia regions.

United States will still play an important role which cannot be ignored. Any changes from United States might affect the development trend of Algorithmic Trading.

EU also play important roles in global market, with market size of 3378 million USD in 2016 and will be 4686 million USD in 2022, with a CAGR of 3.65%.

Algorithmic Trading Market Players:

· Virtu Financial

· KCG

· 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

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Market segment by Regions/Countries, this report covers:

· United States

· EU

· Japan

· China

· India

· Southeast Asia

Table of Contents

1 Industry Overview 1
1.1 Algorithmic Trading Market Overview 1
1.1.1 Algorithmic Trading Product Scope 1
1.1.2 Market Status and Outlook 1
1.2 Global Algorithmic Trading Market Size and Analysis by Regions (2012-2017) 2
1.2.1 United States Algorithmic Trading Market Status and Outlook 3
1.2.2 EU Algorithmic Trading Market Status and Outlook 4
1.2.3 Japan Algorithmic Trading Market Status and Outlook 5
1.2.4 China Algorithmic Trading Market Status and Outlook 6
1.2.5 India Algorithmic Trading Market Status and Outlook 7
1.2.6 Southeast Asia Algorithmic Trading Market Status and Outlook 8
1.3 Algorithmic Trading Market by End Users/Application 9
1.3.1 Investment banks 10
1.3.2 Funds 11
1.3.3 Personal Investors 12
2 Global Algorithmic Trading Competition Analysis by Players 14
2.1 Global Algorithmic Trading Market Size (Million USD) by Players (2012-2017) 14
2.2 Competitive Status and Trend 17
2.2.1 Market Concentration Rate 17
2.2.2 Product/Service Differences 18
2.2.3 Algorithmic Trading Strategies 18
2.2.4 New Entrants 20
2.2.5 Acquisitions & Expansions 20
3 Company (Top Players) Profiles and Key Data 21
3.1 Virtu Financial 21
3.1.1 Company Profile 21
3.1.2 Main Business/Business Overview 21
3.1.3 Products, Services and Solutions 22
3.1.4 Virtu Financial Algorithmic Trading Revenue (Million USD) (2012-2017) 22
3.2 KCG 24
3.2.1 Company Profile 24
3.2.2 Main Business/Business Overview 24
3.2.3 Products, Services and Solutions 24
3.2.4 KCG Algorithmic Trading Revenue (Million USD) (2012-2017) 25
3.3 DRW Trading 26
3.3.1 Company Profile 26
3.3.2 Main Business/Business Overview 27
3.3.3 Products, Services and Solutions 27
3.3.4 DRW Trading Algorithmic Trading Revenue (Million USD) (2012-2017) 28
3.4 Optiver 29
3.4.1 Company Profile 29
3.4.2 Main Business/Business Overview 30
3.4.3 Products, Services and Solutions 30
3.4.4 Optiver Algorithmic Trading Revenue (Million USD) (2012-2017) 30

Continued….

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Reason to Buy

- Highlights key business priorities in order to assist companies to realign their business strategies.

- The key findings and recommendations highlight crucial progressive industry trends in the Algorithmic Trading market, thereby allowing players to develop effective long term strategies.

- Develop/modify business expansion plans by using substantial growth offering developed and emerging markets.

- Scrutinize in-depth global market trends and outlook coupled with the factors driving the market, as well as those hindering it.

- Enhance the decision-making process by understanding the strategies that underpin commercial interest with respect to products, segmentation and industry verticals.

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