Algorithmic Trading Market Demand and Players AlgoTrader GmbH, Trading Technologies International, Inc., Tethys Technology, Inc., Tower Research Capital LLC, Lime Brokerage

Global algorithmic trading market was valued at US$ 10,346.6 Mn in 2018 and is expected to exhibit a CAGR of 10.7% over the forecast period to reach US$ 25,257.0 Mn in 2027.

Growing demand for AI-based services in the financial sector is driving growth of the algorithmic trading market. In algorithmic trading, AI helps to adopt market conditions, learn from experiences and make trade decisions accordingly. Trading houses such as Blackrock, Renaissance Technologies, and Two Sigma among others use AI for selecting stocks. According to Coherent Market Insights, in 2018, about 37% of the financial institutions in India invested in artificial intelligence-focused technologies, and around 68% plan to adopt it in the near future. Therefore, increasing adoption of AI in the financial sector is expected to drive growth of the algorithmic trading market over the forecast period. Moreover, increasing adoption of non-equity trading algorithms by institutional asset managers is another factor driving growth of the algorithmic trading market.

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Major Keyplayers Like : AlgoTrader GmbH

Trading Technologies International Inc.
Tethys Technology Inc.
Tower Research Capital LLC
Lime Brokerage LLC
InfoReach Inc.
FlexTrade Systems Inc.
Hudson River Trading LLC
Citadel LLC
Virtu Financial.
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Scope of the Algorithmic Trading Market report is as follows:

To define and segment the market for Algorithmic Trading.
To analyse and forecast the market size & share of Algorithmic Trading, in terms of value and volume ($)
Raw Material Supply and Downstream Consumer Information are provided in Algorithmic Trading Industry report.
Market forecasts including market volumes, Value ($), Consumption is provided by regions, by types, and by applications.

Key Trends and Analysis of the Global Algorithmic Trading Market:
Among applications, the commodity trading segment is expected to exhibit the highest growth rate during the forecast period. Trading firms mostly use algorithmic trading as it eliminate human errors. Algorithmic trading is used across various applications in the finance industry such as forex, stock markets, commodities, bonds and cryptocurrency. Commodity trading is one of the dominating markets in algorithmic trading. For instance, according to a paper published by Commodity Futures Trading Commission (CFTC), in the U.S. trading market, the level of automation and speed of trading is increasing. This increase has been more prevalent for asset classes or contract groups where automation penetration had been low compared to rest of the market. Furthermore, according to CFTC (The U.S. Commodity Futures Trading Commission), on the basis of trading activity from November 1, 2014 to October 31, 2016, trading in energy-related contracts in the prior period (before 2014) was around 47% automated. In 2016, this had increased to around 57%; agricultural commodities had increased similarly from 38 to 48%, FX (foreign exchange) increased from 80 to 83%.

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Key Highlights of the Table of Contents:

Algorithmic Trading Market Study Coverage:It includes key manufacturers covered, key market segments, the scope of
products offered in the global Colposcopy market, years considered, and study objectives. Furthermore, it
touches the segmentation study provided in the report on the basis of the type of product and applications.

Algorithmic Trading Market Executive Summary: This section emphasizes on the key studies, market growth rate,
competitive landscape, market drivers, trends, and issues in addition to the macroscopic indicators.

Algorithmic Trading Market Production by Region: The report provides information related to import and export,
production, revenue, and key players of all regional markets studied are covered in this section.

Algorithmic Trading Market Profile of Manufacturers: Analysis of each market player profiled is detailed in this
section. This also provides SWOT analysis, products, production, value, capacity, and other vital factors of
the individual player.

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