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Algorithmic Trading Market: Global Industry Trends, Share, Size, Growth, Opportunity and Forecast 2023-2028
Report Format: PDF+Excel | Report ID: SR112023A1641
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Market Overview:
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.
Note: Information in the above chart consists of dummy data and is only shown here for representation purpose. Kindly contact us for the actual market size and trends.
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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.
Key Market Segmentation:
IMARC Group provides an analysis of the key trends in each sub-segment of the global algorithmic trading market report, along with forecasts at the global and regional level from 2023-2028. Our report has categorized the market based on trading type, components, deployment model and organization size.
Breakup by Trading Type:
Note: Information in the above chart consists of dummy data and is only shown here for representation purpose. Kindly contact us for the actual market size and trends.
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- Foreign Exchange (FOREX)
- Stock Markets
- Exchange-Traded Fund (ETF)
- Bonds
- Cryptocurrencies
- Others
Breakup by Components:
- Solutions
- Platforms
- Software Tools
- Services
- Professional Services
- Managed Services
Breakup by Deployment Model:
- On-Premises
- Cloud
Breakup by Organization Size:
- Small and Medium Enterprises
- Large Enterprises
Breakup by Region:
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- North America
- Europe
- Asia Pacific
- Latin America
- Middle East and Africa
Competitive Landscape:
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.
Report Coverage:
| Report Features | Details |
|---|---|
| Base Year of the Analysis | 2022 |
| Historical Period | 2017-2022 |
| Forecast Period | 2023-2028 |
| Units | US$ Billion |
| Segment Coverage | Trading Type, Components, Deployment Model, Organization Size, Region |
| Region Covered | Asia Pacific, Europe, North America, Latin America, Middle East and Africa |
| Companies Covered | 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. |
| Customization Scope | 10% Free Customization |
| Report Price and Purchase Option | Single User License: US$ 2499 Five User License: US$ 3499 Corporate License: US$ 4499 |
| Post-Sale Analyst Support | 10-12 Weeks |
| Delivery Format | PDF and Excel through Email (We can also provide the editable version of the report in PPT/Word format on special request) |
The global algorithmic trading market was valued at US$ 14.0 Billion in 2022.
We expect the global algorithmic trading market to exhibit a CAGR of 12% during 2023-2028.
The growing prominence of high-frequency trading that involves placing large trade orders across multiple markets and facilitate prompt decision-making, is primarily driving the global algorithmic trading market.
The sudden outbreak of the COVID-19 pandemic has led to the rising adoption of algorithmic trading using computer programs with a pre-defined set of instructions to administer a trading activity and allow investors to take control of the trading process remotely through a local device.
Based on the components, the global algorithmic trading market has been divided into solutions and services, where solutions exhibit a clear dominance in the market.
Based on the deployment model, the global algorithmic trading market can be segmented into on-premises and cloud. Currently, cloud model represents the largest market share.
On a regional level, the market has been classified into North America, Europe, Asia Pacific, Middle East and Africa, and Latin America, where North America currently dominates the global market.
Some of the major players in the global algorithmic trading market include 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, 63 Moons Technologies Ltd., etc.
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