Algorithmic Trading Market: Global Industry Trends, Share, Size, Growth, Opportunity and Forecast 2023-2028
2022 年，全球算法交易市場價值達到 140 億美元。展望未來，IMARC 集團預計到 2028 年，市場規模將達到 268 億美元，2023-2028 年年複合成長率為 12%。
IMARC Group 的最新報告深入洞察了全球算法交易市場，涵蓋了其所有重要方面。內容涵蓋從宏觀市場概況到微觀細節的行業表現、近期趨勢、關鍵市場促進因素和挑戰、SWOT分析、波特五力分析、價值鏈分析等。該報告是行業參與者必讀的內容，投資者、研究人員、顧問、商業策略師以及所有擁有任何股份或計劃以任何方式進軍算法交易市場的人。
The global algorithmic trading market reached a value of US$ 14.0 Billion in 2022. Looking forward, IMARC Group expects the market to reach US$ 26.8 Billion by 2028, exhibiting a CAGR of 12% during 2023-2028.
Algorithmic trading, or Algo-trading, is the procedure of using computer programs with a pre-defined set of instructions to administer a trading activity. The instructions are based on prices, timing, quantity and numerous other parameters of a mathematical model. It aims to generate profits, reduce transactional costs and allow investors to take control of the trading process through a computer. Apart from this, algo-trading makes the market more flexible, as well as systematic, by ruling out any human influences. It is also used for high-frequency trading (HFT) that involves placing large trade orders across multiple markets and facilitate prompt decision-making.
Algo-trading enables quick profit generation and an increased frequency, which is practically impossible for any human trader. This benefit of algorithmic trading is the key factor driving the market growth. Enterprises are emphasizing on policies for building low-risk infrastructure and optimizing data management strategies through algorithmic trading. Furthermore, the emergence of Artificial Intelligence (AI) is acting as a major growth-inducing factor for the market. The AI assists in creating efficient trading opportunities through portfolio diversification and the global distribution of savings, along with risk sharing. In addition to this, the rising trend of cloud computing across both the developed and emerging nations is also catalyzing the growth of the market. Vendors offer cloud-based trading options to automate the trading process, reduce operational costs, and provide transactional flexibility to consumers. Dealers are also establishing risk management platforms with the aim to provide market surveillance monitoring and detect fraudulent activities in the automated trading system.
IMARC Group's latest report provides a deep insight into the global algorithmic trading market covering all its essential aspects. This ranges from macro overview of the market to micro details of the industry performance, recent trends, key market drivers and challenges, SWOT analysis, Porter's five forces analysis, value chain analysis, etc. This report is a must-read for industry players, investors, researchers, consultants, business strategists, and all those who have any kind of stake or are planning to foray into the algorithmic trading market in any manner.
IMARC Group provides an analysis of the key trends in each segment of the global algorithmic trading market report, along with forecasts at the global and regional levels from 2023-2028. Our report has categorized the market based on trading type, components, deployment model and organization size.
Foreign Exchange (FOREX)
Exchange-Traded Fund (ETF)
Small and Medium Enterprises
Middle East and Africa
The report has also analyzed the competitive landscape of the market with some of the key players being Vela Trading Systems LLC, Meta-Quotes Limited, Trading Technologies International Inc., Software AG, AlgoTrader, uTrade Solutions Private Limited, Automated Trading SoftTech Private Limited, Kuberre Systems Inc., InfoReach Inc., Virtu Financial Inc., Tata Consultancy Services, Argo Group International Holdings Limited, Thomson Reuters Corporation, iRageCapital Advisory Private Limited, and 63 Moons Technologies Ltd.