With 7.2% CAGR, Algorithmic Trading Market Size Worth USD 3.56 Billion by 2030
According to Fortune Business Insights, the global algorithmic trading market size is projected to reach USD 3.56 billion in 2030, at a CAGR of 7.2% during the forecast period, 2023-2030
Pune, India, Feb. 20, 2023 (GLOBE NEWSWIRE) — The global algorithmic trading market size was USD 2.03 billion in 2022 and is slated to rise from USD 2.19 billion in 2023 to USD 3.56 billion by 2030 at a 7.2% CAGR during the forecast period. Fortune Business Insights™ presents this information in a report titled, “Algorithmic Trading Market Forecast, 2023-2030.”
Algorithmic trading is a technique for placing buy and sell orders that uses a computer that has been programmed to follow a specific set of instructions for entering a trade to make money more quickly and frequently. Algo trading, automated trading, and black-box trading are other names for it. These algorithms aid in the purchase, creation, and automatic market sending of orders via the brokerage platform.
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Key Industry Development:
October 2021 – Brady Technologies took over Igloo Trading Solutions to boost its presence in the European energy markets. The acquisition benefits energy traders by allowing them to implement more profitable trading strategies through innovative data intelligence and market connectivity.
Report Scope & Segmentation
| Report Coverage | Details |
| Forecast Period | 2023 to 2030 |
| Forecast Period 2023 to 2030 CAGR | 7.2% |
| 2030 Value Projection | USD 3.56 Billion |
| Base Year | 2022 |
| Algorithmic Trading Market Size in 2022 | USD 2.03 Billion |
| Historical Data for | 2019 to 2021 |
| No. of Pages | 150 |
| Segments Covered | Type, Deployment, End-user and Geography |
Key Takeaways
- Algorithmic trading market size in North America was USD 0.88 billion in 2022
- Major driving factors include low-maintenance, cost-effectiveness and increasing adoption of cloud solutions
- By Type, the stock market segment holds the maximum market share
- Global demand is driven by increasing adoption of short-term traders
- The increasing adoption of cloud based solutions will drive the market in the forecast period, 2023-2030
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Drivers and Restraints
Rise of AI and ML Across the Financial Sector to Transform Market Outlook
Since algorithms are the most economical for low-maintenance trades, headcount reductions and changes to sales desks have resulted from their use, giving rise to increasing algorithmic trading. The ability to automatically surrender orders to exchanges rather than brokers has been a key innovation in reducing trading costs. These factors drive the market forward.
Contrarily, it is anticipated that the lack of precision and consistency in algorithms may impede market expansion.
Segments:
Stock Market Segment to Capture Major Share Through 2030
The market is segmented into stock market, exchange-traded fund, foreign exchange, cryptocurrencies, bonds, and others. Among these, the stock market segment is likely to capture the maximum market share as it is among the leading asset classes for trading numerous securities.
Demand for Cloud-based Solutions to Surge in the Coming Years
Based on deployment, the market is bifurcated into on premise and cloud. The cloud segment holds the maximum algorithmic trading market share owing to wider adoption across financial institutions.
Short-term Traders to Create Monumental Demand During 2023-2030
In terms of end-user, the market is divided into long-term traders, short-term traders, institutional investors, and retail investors. Among these, short-term traders will generate maximum demand owing to greater, faster profits.
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Regional Insights
North America to Hold Maximum Market Share During the Forecast Period
During the forecast period, North America is anticipated to dominate the market share. The region is a leader in the development and implementation of algorithmic trading solutions, due to the surging number of market players. Large-scale investments in trading technology and better federal support for global trade drive the regional growth.
Meanwhile, the algorithmic trading market growth in Asia Pacific is expanding owing to significant expenditures made by both the public and private sectors to advance trading technology.
Competitive Landscape
Market Players Focus on New Product Launches to Strengthen Market Position
Leading market players are vying to expand market reach by offering solutions tailored to their respective industries. To establish a firm regional foothold, these players strategically collaborate with and take over local competitors. In order gain a wider market share, these companies are focusing on developing innovative products and efficient marketing techniques. The expanding volume of international trade is anticipated to bring about profitable chances for market players.
List of the Companies Profiled in the Report:
- Tradetron (U.S.)
- Tickblaze LLC (U.S.)
- Wyden (U.S.)
- TradeStation (U.S.)
- InfoReach, Inc. (U.S.)
- Symphony (U.S.)
- ALGOTRADERS (U.S.)
- Argo Software Engineering (U.S.)
- FXCM Group (U.S.)
- Tata Consultancy Services Limited (U.S.)
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Major Table of Contents:
- Global Algorithmic Trading Market Size Estimates and Forecasts, By Segments, 2019-2030
- Key Findings
- By Type (USD)
- Stock Market
- Foreign Exchange
- Exchange-Traded Fund
- Bonds
- Cryptocurrencies
- Others
- By Deployment (USD)
- Cloud
- On-Premise
- By End User (USD)
- Short-term Traders
- Long-term Traders
- Retail Investors
- Institutional Investors
- By Region (USD)
- North America
- South America
- Europe
- Middle East & Africa
- Asia Pacific
- North America Algorithmic Trading Market Size Estimates and Forecasts, By Segments, 2019-2030
- Key Findings
- By Type (USD)
- Stock Market
- Foreign Exchange
- Exchange-Traded Fund
- Bonds
- Cryptocurrencies
- Others
- By Deployment (USD)
- Cloud
- On-Premise
- By End User (USD)
- Short-term Traders
- Long-term Traders
- Retail Investors
- Institutional Investors
- By Country (USD)
- United States
- Canada
- Mexico
- South America Algorithmic Trading Market Size Estimates and Forecasts, By Segments, 2019-2030
- Key Findings
- By Type (USD)
- Stock Market
- Foreign Exchange
- Exchange-Traded Fund
- Bonds
- Cryptocurrencies
- Others
- By Deployment (USD)
- Cloud
- On-Premise
- By End User (USD)
- Short-term Traders
- Long-term Traders
- Retail Investors
- Institutional Investors
- By Country (USD)
- Brazil
- Argentina
- Rest of South America
TOC Continued…!
FAQs
How big is the algorithmic trading market?
Algorithmic trading market size was USD 2.03 billion in 2022.
How fast is the algorithmic trading market growing?
The algorithmic trading market will exhibit a CAGR of 7.2% during the forecast period, 2023-2030
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