PUBLISHER: IMARC | PRODUCT CODE: 1347446
PUBLISHER: IMARC | PRODUCT CODE: 1347446
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)
Stock Markets
Exchange-Traded Fund (ETF)
Bonds
Cryptocurrencies
Others
Solutions
Platforms
Software Tools
Services
Professional Services
Managed Services
On-Premises
Cloud
Small and Medium Enterprises
Large Enterprises
North America
Europe
Asia Pacific
Latin America
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.