Automated Algo Trading Market By Component (Solution, Service), By Deployment Mode (On-premises, Cloud), By Enterprise Size (Large Enterprises, Small and Medium-sized Enterprises (SMEs)), By Application (Trade Execution, Statistical Arbitrage, Liquidity Detection, Others), By Trading Type (Stock Markets, FOREX, ETF, Bonds, Cryptocurrencies, Others): Global Opportunity Analysis and Industry Forecast, 2021-2031
Algorithmic trading is also referred as black-box trading, automated trading, or algo-trading. It is a method that uses a computer program that follows a defined set of instructions or an algorithm to administer trading activity. An algorithm is fed into a computer program to automatically perform the trade whenever the command is entered. An algorithm can be based on different numbers of input pointers such as price, quantity, timing, or other metrics. It offers several benefits to market participants such as it executes trades at the best possible prices, simultaneous automated checks on multiple market conditions; trades timed correctly & instantly; and reduced transaction costs due to lack of human intervention.
Factors such as rise in demand for reliable, fast, & effective order execution, emergence of favorable government regulations, and the need for market surveillance primarily drive the growth of the global automated algo trading market. In addition, rise in demand for reducing the transaction costs fuels the demand for automated algo trading market. However, insufficient risk valuation capabilities may hamper the market growth to some extent. On the contrary, emergence of AI and algorithms in the financial services is expected to provide lucrative opportunities for the market growth during the forecast period. In addition, upsurge in demand for cloud-based solutions is anticipated to be opportunistic for the market growth during the forecast period.
The automated algo trading market is segmented on the basis of component, deployment mode, enterprise size, application, trading type, and region. By component, it is divided into solution and services. By deployment mode, it is bifurcated into on-premises and cloud. By enterprise size, it is segregated into large enterprises and small & medium-sized enterprises. By application, the automated algo trading market is fragmented into trade execution, statistical arbitrage, liquidity detection, and others. The trade execution segment is further categorized into market maker, Over-the-Counter (OTC) market maker, and Electronic Communications Network (ECN). The market maker sub segment is further divided into agency trade and principal trades. By trading type, the automated algo trading market is classified into stock markets, FOREX, ETF, bonds, cryptocurrencies, and others. By region, it is analyzed across North America, Europe, Asia-Pacific, and LAMEA.
The report analyzes the profiles of key players operating in the automated algo trading market such as 63MOONS, AlgoTrader, Argo Software Engineering, Ava Trade Markets Ltd., India Algo, InfoReach, Inc., LEHNER INVESTMENTS, MetaQuotes Ltd, NinjaTrader, QuantConnect, Software AG, Symphony, Tethys Technology, VIRTU Financial Inc., Tata Consultancy Services Limited, Next Algo, and Myalgomate Technologies LLP. These players have adopted various strategies to increase their market penetration and strengthen their position in the automated algo trading industry.
Key Benefits For Stakeholders
This report provides a quantitative analysis of the market segments, current trends, estimations, and dynamics of the automated algo trading market analysis from 2021 to 2031 to identify the prevailing automated algo trading market opportunities.
The market research is offered along with information related to key drivers, restraints, and opportunities.
Porter's five forces analysis highlights the potency of buyers and suppliers to enable stakeholders make profit-oriented business decisions and strengthen their supplier-buyer network.
In-depth analysis of the automated algo trading market segmentation assists to determine the prevailing market opportunities.
Major countries in each region are mapped according to their revenue contribution to the global market.
Market player positioning facilitates benchmarking and provides a clear understanding of the present position of the market players.
The report includes the analysis of the regional as well as global automated algo trading market trends, key players, market segments, application areas, and market growth strategies.
Key Market Segments
By Component
Solution
Service
By Deployment Mode
On-premises
Cloud
By Enterprise Size
Large Enterprises
Small and Medium-sized Enterprises (SMEs)
By Application
Trade Execution
Statistical Arbitrage
Liquidity Detection
Others
By Trading Type
Stock Markets
FOREX
ETF
Bonds
Cryptocurrencies
Others
By Region
North America
U.S.
Canada
Europe
Germany
UK
France
Spain
Rest Of Europe
Asia-Pacific
China
India
Japan
Australia
South Korea
Rest Of Asia-Pacific
LAMEA
Latin America
Middle East
Africa
Key Market Players
63MOONS
AlgoTrader
Argo Software Engineering
Ava Trade Markets Ltd.
India Algo
InfoReach, Inc.
LEHNER INVESTMENTS
MetaQuotes Ltd
NinjaTrader
QuantConnect
Software AG
Symphony
Tethys Technology
VIRTU Financial Inc.
Tata Consultancy Services Limited
Next Algo
Myalgomate Technologies LLP
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