Press release
Algorithmic Trading Market Size & Share, Statistics Report 2024-2033
Algorithmic Trading Market Size
As per the report, the algorithmic trading software market size has grown strongly in recent years. It will grow from $2.28 billion in 2023 to $2.50 billion in 2024 at a compound annual growth rate (CAGR) of 9.7%. The algorithmic trading software market size is expected to see rapid growth in the next few years. It will grow to $3.66 billion in 2028 at a compound annual growth rate (CAGR) of 10%.
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Market Liquidity Boosting Growth of Algorithmic Trading Software Market
The rising market liquidity is expected to propel the growth of the algorithmic trading software market going forward. Market liquidity refers to the process by which assets can be bought or sold in a market without causing significant price changes. The rise in market liquidity can be attributed to increased trading activity, improved market infrastructure, enhanced transparency, and regulatory reforms promoting market efficiency and facilitating faster and more efficient order execution. Algorithmic trading software relies on market liquidity to execute trades swiftly and efficiently. Market liquidity enables algorithmic traders to deploy various trading strategies, including market making, statistical arbitrage, trend following, and volatility trading. For instance, in August 2023, according to the International Monetary Fund, a US-based financial agency, trading volume by institutional investors in crypto exchanges surged over 1700% from around $25 billion to over $450 billion between the second quarters of 2020 and 2021. Therefore, the increasing market liquidity is driving the algorithmic trading software market.
Advancements In Algorithmic Trading Is Enhancing Trade Execution And Performance
Major companies operating in the algorithmic trading software market are focusing on developing generation algorithmic trading platforms. A next-generation algorithmic trading platform is an advanced software system designed to execute automated trading strategies in financial markets. For instance, in September 2022, Scotiabank, a Canada-based multinational banking and financial services company, collaborated with BestEx Research Group LLC, a US-based company that provides algorithmic trading solutions, launched a next-generation algorithmic trading platform. This platform features state-of-the-art technology explicitly tailored to meet the unique needs of Canadian market participants. The platform aims to provide Scotiabank clients with market-leading algorithmic execution quality and top-tier trading performance, leveraging research-driven logic to reduce costs for institutional investors. This cutting-edge platform, part of Scotiabank's suite of electronic trading products called ScotiaRED, offers state-of-the-art technology tailored to meet the unique needs of the Canadian equities market. The platform aims to provide institutional investors with a single-ticket order experience across the Americas, offering research-driven logic to reduce costs and deliver top-tier trading performance for clients.
The algorithmic trading software market covered in this report is segmented -
1) By Component: Solutions, Services
2) By Product: Algorithmic Trading Software, Algorithmic Trading Platforms
3) By Deployment: Cloud Based, On Premise
4) By Application: Investment Banks, Funds, Personal Investors, Other Application
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Major companies operating in the algorithmic trading software market are AlgoTrader AG, Interactive Brokers LLC, Virtu Financial, Flow Traders Ltd., DRW Holdings LLC, TradeStation Group Inc., Tower Research Capital LLC, Hudson River Trading LLC, Jump Trading LLC, FlexTrade Systems Inc., NinjaTrader Group LLC, Trading Technologies International Inc., MetaQuotes Software Corp., Teza Technologies, RSJ Group, Quantlab Financial LLC , Tradebot Systems Inc, Tethys Technology Inc., IQBroker LLC, QuantRocket, Sierra Chart, QuantConnect Corporation, StockSharp, Wealth-Lab, Python Quants GmbH
Contents of the report:
1. Executive Summary
2. Algorithmic Trading Software Market Report Structure
3. Algorithmic Trading Software Market Trends And Strategies
4. Algorithmic Trading Software Market - Macro Economic Scenario
5. Algorithmic Trading Software Market Size And Growth
…..
27. Algorithmic Trading Software Market Competitor Landscape And Company Profiles
28. Key Mergers And Acquisitions
29. Future Outlook and Potential Analysis
30. Appendix
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