The global Automated Algo Trading Market is anticipated to grow at a stupendous CAGR of around 10.6% during the forecast period from 2022 to 2032. Growth is attributable to the rising popularity of automated algo trading among end users like personal investors and credit unions.
Report Attribute | Details |
---|---|
Automated Algo Trading Market Projected Growth Rate (2022 to 2032) | 10.6% CAGR |
Estimated Base Year Value (2021) | USD 13,260.4 Million |
Expected Market Value (2022) | USD 14,520.1 Million |
Expected Market Value (2032) | USD 39,715.3 Million |
The penetration of modern technologies is rapidly changing the way of traditional investment models or trading methods by automating all trading related processes. Latest trading platforms like automated algo trading have reduced the transitional costs and human errors, and significantly made the whole trading process cheaper and less cumbersome.
Automated algo trading uses a computer program that follows a defined set of instructions to place a trade (buying or selling of an asset). The defined set of instructions are based on quantity, price, timing or any other mathematical model. It initiates profit opportunities at great frequency and speed, by programming the computers to follow a specific set of calculations, guidelines, and instructions.
Rapid shift towards automated algo trading for taking the decisions at a very fast pace by reducing human errors is emerging as a key factor accelerating the growth of automated algo trading market.
Automated algo trading makes trading more systematic by eliminating human trader’s emotional impact on it. These platforms execute trading at the best prices and allow continuous monitoring of the trade market throughout the day and night. Adoption of automated algo trading therefore diversifies trading and allows businesses to make sure that there are no missed opportunities. In automated algo trading, the algorithms stick to an unwavering trading plan involving the trade’s price, timing, quantity and other mathematical parameters.
With growing penetration of advanced trading technologies across developed and developing economies and increasing participation of international markets, the global automated algo trading market is forecast to grow at prolific pace during the forecast period.
The liquidity in equity market due to integration of financial markets is a major factor that would drive the automated algo trading market during the forecast period.
Various end users including personal investors, credit unions, insurance firms, prime brokers, and multi-national investment banks are vigorously investing in adopting and upgrading the automated algo trading platforms. This will continue to boost market growth in the forthcoming years.
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The robust expansion of automated algo trading market is attributable to the growing demand for fast, effective, and reliable order execution, favorable government regulations, reducing transactional costs, and rising demand for market surveillance.
During the last few years, demand for automated algo trading has risen at an incredible pace and the trend is likely to continue during the forecast period. It offers various advantages by executing trades at best possible prices and reducing transaction costs as well as manual errors.
Automated algo trading is being increasingly used by leading brokerage houses, personal investors, credit unions, insurance firms etc. to cut down costs associated with trading. Adoption of automated algo trading enables faster and easier execution of orders, which makes it ideal for exchanges. It is especially ideal for situations where a human trader is not able to handle enormous numbers of trading.
Similarly, rising penetration of artificial intelligence (AI) and machine learning across financial services companies and other trading businesses is expected to generate lucrative growth opportunities within the global automated algo trading market during the assessment period.
Additionally, introduction of advanced automated algo trading platforms by market players to serve various needs of end users is anticipated to further expand the size of automated algo trading market in future.
Despite the growing popularity of automated algo trading, there are various factors that are likely to challenge market growth during the forecast period. Some of these factors are the increase in the amount of data to be processed and certain risks such as sudden system failure, erroneous network connectivity, imperfect algorithms, and time lags in order and executions, associated with automated algo trading solutions.
Moreover, lack of availability of modern facilities and poor awareness about automated algo trading across various emerging nations is also limiting the market growth.
As per FMI, North America was the largest market for automated algo trading in 2022 and is expected to retain its dominant position during the forecast period, owing to the owing to the increasing investments in trading technologies, heavy presence of leading market vendors, favorable government support, and significant penetration of automated algo trading solutions in the financial markets.
Countries like the United States are becoming the ideal destinations for automated algo trading vendors due to growing adoption of modern trading technologies and increase in the number of end users.
According to Future Market Insights, the Asia Pacific automated algo trading market is expected to grow at a healthy CAGR during the forecast period from 2022 to 2032, owing to the rapid economic boom in countries like China and India, growing consumer awareness about the benefits of automated algo trading, and increasing investments by public and private sectors for enhancing their trading technologies.
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Some of the key participants present in the global automated algo trading market include Vela, AlgoTerminal LLC, AlgoTrader GmbH, Cloud9Trader, Quantopian, InfoReach, Inc., Trading Technologies International, Inc., QuantConnect, Tethys Technology, and Citadel, among others.
These leading market players are constantly introducing innovative automated algo trading solutions to help end users in smoothly running their businesses. Besides this, they have adopted growth strategies such as mergers, acquisitions, and partnerships to expand their global footprint.
Report Attribute | Details |
---|---|
Growth Rate | CAGR of 10.6% from 2022 to 2032 |
Base Year for Estimation | 2021 |
Historical Data | 2015 to 2020 |
Forecast Period | 2022 to 2032 |
Quantitative Units | Revenue in USD Million and CAGR from 2022 to 2032 |
Report Coverage | Revenue Forecast, Volume Forecast, Company Ranking, Competitive Landscape, Growth Factors, Trends and Pricing Analysis |
Segments Covered | Application, End User, Region |
Regions Covered | North America; Latin America; Western Europe; Eastern Europe; APEJ; Japan; Middle East and Africa |
Key Countries Profiled | USA, Canada, Brazil, Argentina, Germany, UK, France, Spain, Italy, Nordics, BENELUX, Australia & New Zealand, China, India, ASEAN, GCC, South Africa |
Key Companies Profiled | Vela; AlgoTerminal LLC; AlgoTrader GmbH; Cloud9Trader; Quantopian; InfoReach, Inc.; Trading Technologies International, Inc.; QuantConnect; Tethys Technology; Citadel |
Customization | Available Upon Request |
FMI projects the global automated algo trading market to expand at around 10.5% to 11.0% CAGR between 2022 and 2032.
North America will continue to remain the most lucrative market for automated algo trading during the forecast period.
Vela, AlgoTerminal LLC, AlgoTrader GmbH, Cloud9Trader, and Quantopian, InfoReach, Inc. are some prominent market players operating in the automated algo trading market.
1. Executive Summary 2. Market Overview 3. Market Background 4. Global Market Analysis 2017 to 2021 and Forecast, 2022 to 2032 5. Global Market Analysis 2017 to 2021 and Forecast 2022 to 2032, By Solution 5.1. Automated Trading Platforms 5.2. Algorithmic Trading Bots (API) 5.3. Services 6. Global Market Analysis 2017 to 2021 and Forecast 2022 to 2032, By Trading Application 6.1. Forex 6.2. Stocks 6.3. Commodities 6.4. Bonds 6.5. Cryptocurrencies 7. Global Market Analysis 2017 to 2021 and Forecast 2022 to 2032, By End User 7.1. Retail Traders 7.2. Institutional Traders 7.3. Asset Management Company (AMC) 7.4. Others 8. Global Market Analysis 2017 to 2021 and Forecast 2022 to 2032, By Region 8.1. North America 8.2. Latin America 8.3. Europe 8.4. East Asia 8.5. South Asia & Pacific 8.6. MEA 9. North America Market Analysis 2017 to 2021 and Forecast 2022 to 2032, By Country 10. Latin America Market Analysis 2017 to 2021 and Forecast 2022 to 2032, By Country 11. Europe Market Analysis 2017 to 2021 and Forecast 2022 to 2032, By Country 12. East Asia Market Analysis 2017 to 2021 and Forecast 2022 to 2032, By Country 13. South Asia & Pacific Market Analysis 2017 to 2021 and Forecast 2022 to 2032, By Country 14. MEA Market Analysis 2017 to 2021 and Forecast 2022 to 2032, By Country 15. Key Countries Market Analysis 16. Market Structure Analysis 17. Competition Analysis 17.1. Alpha Novae Ltd 17.2. AlgoTrader 17.3. Inteligex LLC 17.4. Trading Technologies International, Inc. 17.5. SquareOff 17.6. Greeksoft Technology 17.7. NinjaTrader, LLC 17.8. AvaTrade 17.9. Kx Systems, Inc. 17.10. Flip Investor, Inc. 17.11. Kuberre Systems 17.12. Horizon Software 17.13. Finvasia 17.14. InfoReach, Inc. 18. Assumptions & Acronyms Used 19. Research Methodology
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