Algorithmic trading refers to a process of execution of orders through pre-programmed and automated trading instructions. It is done to account for variables like volume, timing, and price. An algorithm refers to a set of directions that is used for solution of problems. Computer algorithms send out small portions of the entire order to the market in time.
The growth of the global algorithmic trading market is majorly driven by increased demand for effective, reliable, and fast order execution. It also helps in the reduced cost of transaction, rising demand for surveillance of the market. Increased government regulations are another significant factor estimated to boost the market.
Thomson Reuters Corporation, Argo Software Engineering, Inc., MetaQuotes Software Corp., Kuberre Systems, Symphony Fintech Solutions Pvt. Ltd, and Tata Consulting Services are few of the key companies profiled in the global algorithmic trading market.
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Driven by Increased Investment in Trading Technologies to Drive Growth in North America
Considering regional segmentation, North America is estimated to account for a leading share of the global algorithmic trading market during the tenure of forecast, from 2018 to 2026. The expansion of the region id ascribed to the rapid development and adoption of the algorithm trading procedure. The increased investment in various trading technologies like blockchain, growing support of government for global trading, and increased presence of several vendors in the region are likely to encourage growth of the global algorithmic trading market.
Asia Pacific is likely to come up as a rapidly growing region. The growth of the region is mainly due to huge investment in public and private sector made for improvement of trading technologies. This has led to the augmented demand for algorithmic trading solutions for the automation of trading process.
Demand from the Financial Services Sector is Likely to Spell Growth for the Market
In the financial services sector, coming up of algorithms and artificial intelligence coupled with rising demand for surveillance of the market are likely to steer growth of the global algorithmic trading market in years to come. Demand for algorithmic trading solutions and artificial intelligence in the sector of financial services has been rising constantly. This is likely to lead to the development of the global algorithmic trading market.
In addition, there has been a rise in the adoption of non-equity trading algorithms by asset managers, which is likely to escalate the demand for artificial intelligence in the sector of financial services across the globe. Increased demand for artificial intelligence is likely to boost the global algorithmic trading market. In addition, rising demand for surveillance of the market is likely to emerge as another prominent growth factor for the global algorithmic trading market in years to come. Traders are able to monitor their pattern of investment and trading activities with the help of market surveillance technology.
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The information shared in this review is based on a TMR report, bearing the title, “Algorithmic trading market (Component – Software, Services, and Professional Services; Trading Type – Forex, Stock Markets, Commodities, Bonds, and Cryptocurrency) – Global Industry Analysis, Size, Share, Growth, Trends and Forecast, 2018 to 2026”
The global algorithmic trading is segmented based on:
Component
- Software
- Services
- Professional Services
Trading Type
- Forex
- Stock Markets
- Commodities
- Bonds
- Cryptocurrency
Region
- North America
- US
- Canada
- Europe
- Germany
- France
- Italy
- Spain
- U.K.
- Rest of Europe
- Middle East and Africa
- GCC Countries
- South Africa
- Rest of Middle East and Africa
- Asia Pacific
- China
- Japan
- India
- Australia and New Zealand
- Rest of Asia Pacific
- Latin America
- Brazil
- Mexico
- Rest of Latin America
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