The latest report by IMARC Group, titled “Algorithmic Trading Market: Global Industry Trends, Share, Size, Growth, Opportunity and Forecast 2022-2027,” offers a comprehensive analysis of the industry, which comprises insights on the global algorithmic trading market share. The report also includes competitor and regional analysis, and contemporary advancements in the market.
The global algorithmic trading market reached a value of US$ 13.0 Billion in 2021. Looking forward, IMARC Group expects the market to reach US$ 24.0 Billion by 2027, exhibiting a CAGR of 11.4% during 2022-2027. Algorithmic trading, also known as automated trading, represents the procedure of utilizing computer programs with a pre-defined set of instructions to administer the trading activity. The instructions depend on prices, timing, quantity, and several other parameters based on numerous mathematical models. Algorithmic trading aims to generate more profits, minimize transactional costs, and enable investors to take control of the trading process by making it more flexible, systematic, and data-driven. It is commonly utilized for high-frequency trading, which involves placing large trade orders and facilitating prompt decision-making. As such, algorithmic trading is widely used by small, medium, and large financial enterprises across countries.
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We are regularly tracking the direct effect of COVID-19 on the market, along with the indirect influence of associated industries. These observations will be integrated into the report.
Global Algorithmic Trading Market Trends:
The increasing emphasis among investors towards building low-risk trading infrastructures and optimizing data management strategies is primarily driving the algorithmic trading market. In addition to this, the expanding adoption of cloud-based applications by financial institutions to enhance their productivity and efficiency is further propelling the market growth. Moreover, the integration of Artificial Intelligence (AI) with automated trading solutions is acting as another significant growth-inducing factor. Besides this, the emerging trend of cloud computing across industry verticals is also positively influencing the global market. Furthermore, the introduction of advanced algorithmic trading solutions to serve various needs of the customers is catalyzing the market growth. Apart from this, the rising demand among traders for quick profit generation techniques is projected to bolster the algorithmic trading market in the coming years.
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Key Market Segmentation:
The competitive landscape of the market has been studied in the report with the detailed profiles of the key players operating in the market.
Some of these key players include:
- Vela Trading Systems LLC
- MetaQuotes Software Corp.
- Trading Technologies International, Inc.
- SAG Deutschland GmbH
- AlgoTrader AG
- uTrade Solutions Pvt Ltd
- Automated Trading Softtech Pvt. Ltd
- Kuberre Systems, Inc.
- InfoReach, Inc.
- Virtu Financial
- Tata Consultancy Services Limited
- Argo Group International Holdings, Ltd.
- Thomson Reuters Holdings Inc.
- iRageCapital Advisory Pvt Ltd,
- 63 moons Technologies Limited
Breakup by Trading Types:
- Foreign Exchange (FOREX)
- Stock Markets
- Exchange-Traded Fund (ETF)
Breakup by Components:
- Software Tools
- Professional Services
- Managed Services
Breakup by Deployment Model:
Breakup by Organization Size:
- Small and Medium Enterprises
- Large Enterprises
Breakup by Region:
- North America (United States, Canada)
- Asia Pacific (China, Japan, India, Australia, Indonesia, Korea, Others)
- Europe (Germany, France, United Kingdom, Italy, Spain, Others)
- Latin America (Brazil, Mexico, Others)
- Middle East and Africa (United Arab Emirates, Saudi Arabia, Qatar, Iraq, Other)
Key highlights of the Report:
- Market Performance (2016-2021)
- Market Outlook (2022-2027)
- COVID-19 Impact on the Market
- Porter’s Five Forces Analysis
- Historical, Current and Future Market Trends
- Market Drivers and Success Factors
- SWOT Analysis
- Structure of the Market
- Value Chain Analysis
- Comprehensive Mapping of the Competitive Landscape
Note: If you need specific information that is not currently within the scope of the report, we can provide it to you as a part of the customization.
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