Algorithmic Trading Market 2023 | Size to Hit US$ 26.8 Billion at a CAGR of 12% by 2028 | IMARC Group

According to the latest report by IMARC Group, titled "Algorithmic Trading Market: Global Industry Trends, Share, Size, Growth, Opportunity and Forecast 2023-2028," offers a comprehensive analysis of the industry, which comprises insights on the global algorithmic trading market. The report also includes competitor and regional analysis, and contemporary advancements in the market.

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 at a CAGR of 12% during 2023-2028.

Algorithmic trading, also called algo trading, utilizes computer programs and algorithms to execute trades automatically based on pre-defined rules and conditions. These rules can be based on market trends, price movements, and other technical indicators. It is used in financial markets, including stocks, currencies, and commodities, to execute trades quickly, accurately, and efficiently. It enables traders to analyze and respond to market changes in real time and reduce the risk of human error. It has become increasingly popular in recent years, with the growth of high-frequency trading and the availability of advanced technologies.

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Global Algorithmic Trading Market Trends:

The global market is primarily driven by the increasing adoption of automation and artificial intelligence in trading and investment strategies. In line with this, the growing demand for advanced trading technologies is significantly contributing to market growth. Furthermore, the rising need for speed and accuracy in executing trades is positively influencing the market. Apart from this, the key players are heavily investing in R&D to develop new algorithms and trading strategies.

Moreover, the emergence of Machine Learning (ML) and Artificial Intelligence (AI) in financial services is strengthening the market. Additionally, the widespread utilization of automated trading software by banking organizations, the escalating consumption of cloud-based solutions, and an expansion in need for market monitoring software are providing a boost to the market.

Explore the Full Report with TOC & List of Figures: https://www.imarcgroup.com/algorithmic-trading-market

Competitive Landscape:

The competitive landscape of the market has been studied in the report with 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.
• 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

Key Market Segmentation:

Breakup by Trading Types:

• Foreign Exchange (FOREX)
• Stock Markets
• Exchange-Traded Fund (ETF)
• Bonds
• Cryptocurrencies
• Others

Breakup by Components:

• Solutions
o Platforms
o Software Tools
• Services
o Professional Services
o Managed Services

Breakup by Deployment Model:

• On-Premises
• Cloud

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 (2017-2022)
• Market Outlook (2023-2028)
• 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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This release was published on openPR.