Press release
Algorithmic Trading Market Latest Trends, Driving Factors, Segmentations, and Key Industry Players 63 moons technologies, AlgoTrader, Argo Software Engineering, Citadel
The Global Algorithmic Trading Market size was valued at USD 13.2 billion in 2021 and is anticipated to grow to USD 33.6 billion by 2030, registering a CAGR of 13.6% during the projection period. Favorable government regulations, expanding demand for quick, dependable, and effective order execution, increased demand for market surveillance, and decreasing transaction costs are expected to drive the need for the algorithmic trading business.
๐๐๐ญ ๐๐๐ฆ๐ฉ๐ฅ๐ ๐๐จ๐ฉ๐ฒ ๐จ๐ ๐๐๐ฉ๐จ๐ซ๐ญ@ https://www.extrapolate.com/sample/Information-Technology-Communication-IoT/algorithmic-trading-market/25999
A development in stock market technology is algorithmic trading, often known as algo trading, automated trading, or black box trading. An algorithm is a collection of instructions that computer software follows while placing a transaction in order to earn profits at a rate and frequency that is unattainable for human traders. The adoption of algorithmic trading, which benefits financial markets, is increasing in developed nations such as The United, India, the United Kingdom, and South Korea.
๐๐จ๐ฅ๐ฎ๐ญ๐ข๐จ๐ง ๐๐๐ ๐ฆ๐๐ง๐ญ ๐ญ๐จ ๐๐จ๐ฆ๐ข๐ง๐๐ญ๐ ๐๐๐ซ๐ค๐๐ญ ๐๐ฐ๐ข๐ง๐ ๐ญ๐จ ๐๐๐ฃ๐จ๐ซ ๐๐๐ง๐๐๐ข๐ญ๐ฌ ๐๐ก๐๐ญ ๐ข๐ญ ๐๐ซ๐จ๐ฏ๐ข๐๐๐ฌ
On the basis of components, the global algorithmic trading market is segmented into solutions and services. The solution segment has dominated the market share in 2021 and is expected to continue its dominance throughout the projection period due to the major benefits that algorithmic trading solutions offer, such as decreased transaction costs due to the absence of human intervention and quick and accurate trade order placement, which primarily fuel demand for these solutions.
In addition to this, major participants operating in the global market are implementing cutting-edge algorithmic trading techniques in order to address a variety of consumer demands. All of these aforementioned factors are anticipated to boost the growth of the segment in the upcoming years.
๐๐ง๐๐ซ๐๐๐ฌ๐๐ ๐๐ฌ๐ ๐จ๐ ๐๐ฅ๐จ๐ฎ๐-๐๐๐ฌ๐๐ ๐๐๐ซ๐ฏ๐ข๐๐๐ฌ ๐ญ๐จ ๐ ๐ฎ๐๐ฅ ๐๐๐ซ๐ค๐๐ญ ๐๐ซ๐จ๐ฐ๐ญ๐ก
The market for algorithmic trading is anticipated to experience substantial growth throughout the projection period due to the growing popularity of cloud-based services, cloud computing, and cloud-based trading solutions. For backtesting, run-time series analysis, and trading strategies when placing trades, traders use cloud services. to increase productivity, security, better data management, sustainability, etc.
The adoption of AI, ML, and big data by the financial services sector is projected to have a substantial impact on the market expansion for algorithmic trading. Regulators are starting to take notice of how individuals interact with the market as a result of technological improvements. These technologies are now being used by some of the biggest organizations in the world to develop algorithmic trading.
๐๐ซ๐จ๐ฐ๐ฌ๐ ๐๐จ๐ซ๐ ๐๐๐ญ๐๐ข๐ฅ๐ฌ ๐๐ข๐ญ๐ก ๐๐๐@ https://www.extrapolate.com/Information-Technology-Communication-IoT/algorithmic-trading-market/25999
๐๐๐ฒ ๐๐ง๐๐ฎ๐ฌ๐ญ๐ซ๐ฒ ๐๐ฅ๐๐ฒ๐๐ซ๐ฌ ๐ญ๐จ ๐ ๐จ๐๐ฎ๐ฌ ๐จ๐ง ๐๐ซ๐๐๐ญ๐ข๐ง๐ ๐๐ฎ๐ญ๐ญ๐ข๐ง๐ -๐๐๐ ๐ ๐๐ซ๐จ๐๐ฎ๐๐ญ๐ฌ ๐ญ๐จ ๐๐ซ๐จ๐ฐ ๐๐ก๐๐ข๐ซ ๐๐๐ซ๐ค๐๐ญ ๐๐ก๐๐ซ๐
A significant number of market participants globally have led to a moderate degree of market fragmentation for algorithmic trading. Key organizations focus on creating cutting-edge products and successful marketing tactics in order to maintain and grow their market share. Taking PlatinX as an example, the company received USD 5 million in funding in May 2022 to assist in the expansion of its Algo Trading Software.
๐๐๐๐๐ข๐ง๐ ๐๐๐ฒ ๐๐ฅ๐๐ฒ๐๐ซ๐ฌ ๐๐ซ๐จ๐๐ข๐ฅ๐๐ ๐ข๐ง ๐ญ๐ก๐ ๐๐ฅ๐จ๐๐๐ฅ ๐๐ฅ๐ ๐จ๐ซ๐ข๐ญ๐ก๐ฆ๐ข๐ ๐๐ซ๐๐๐ข๐ง๐ ๐๐๐ซ๐ค๐๐ญ:
-63 moons technologies limited
-AlgoTrader
-Argo Software Engineering
-Citadel LLC
-FlexTrade Systems, Inc.
-Hudson River Trading
-InfoReach, Inc.
-Lime Trading Corp.
-MetaQuotes Ltd
-Refinitiv Limited
-Software AG
-Symphony
๐๐๐๐๐ง๐ญ ๐๐ง๐๐ฎ๐ฌ๐ญ๐ซ๐ฒ ๐๐๐ฏ๐๐ฅ๐จ๐ฉ๐ฆ๐๐ง๐ญ๐ฌ -
๐๐ฎ๐ง๐ ๐๐๐๐
โข The newest version 6.4 of AlgoTrader's Broker Desk solution, which enables traders to offer crypto & digital asset trading to consumers, has been released.
โข Refinitiv's Electronic Trading solution (ET) has been adopted by Alexbank in order to boost its operations in Egypt and increase its market share in both domestic and foreign exchange (FX) markets.
๐๐ก๐ ๐๐ฅ๐ ๐จ๐ซ๐ข๐ญ๐ก๐ฆ๐ข๐ ๐๐ซ๐๐๐ข๐ง๐ ๐๐๐ซ๐ค๐๐ญ ๐๐๐ง ๐๐ ๐๐๐ ๐ฆ๐๐ง๐ญ๐๐ ๐๐๐ฌ๐๐ ๐๐ง:
๐๐ฒ ๐๐จ๐ฆ๐ฉ๐จ๐ง๐๐ง๐ญ
-Solution
-Services
๐๐ฒ ๐๐๐ฉ๐ฅ๐จ๐ฒ๐ฆ๐๐ง๐ญ
-On-premise
-Cloud-based
๐๐ฒ ๐๐ฒ๐ฉ๐
-Stock Markets
-FOREX
-Exchange-Traded Fund (ETF)
-Bonds
-Cryptocurrencies
-Others
๐๐ฒ ๐๐๐ ๐ข๐จ๐ง
-North America- U.S., Mexico, Canada
-Europe- UK, France, Germany, Italy, Spain, Rest of Europe
-Asia-Pacific- China, Japan, India, South Korea, Rest of Asia Pacific
-South America- Brazil, Argentina, Colombia, Rest of South America
-The Middle East and Africa- GCC, South Africa, Rest of Middle East & Africa
๐๐ง๐ช๐ฎ๐ข๐ซ๐ ๐๐๐จ๐ฎ๐ญ ๐๐๐ฉ๐จ๐ซ๐ญ@ https://www.extrapolate.com/enquire/Information-Technology-Communication-IoT/algorithmic-trading-market/25999
๐๐จ๐ซ๐ญ๐ก ๐๐ฆ๐๐ซ๐ข๐๐ ๐ญ๐จ ๐๐๐๐ ๐๐๐ซ๐ค๐๐ญ ๐๐ก๐๐ซ๐ ๐๐ฐ๐ข๐ง๐ ๐ญ๐จ ๐๐ง๐๐ซ๐๐๐ฌ๐ข๐ง๐ ๐๐ง๐ฏ๐๐ฌ๐ญ๐ฆ๐๐ง๐ญ๐ฌ ๐ข๐ง ๐๐ซ๐๐๐ข๐ง๐ ๐๐๐๐ก๐ง๐จ๐ฅ๐จ๐ ๐ข๐๐ฌ
North America is estimated to lead the market for algorithmic trading. The increasing investments in trading technologies (such as blockchain), the expanding presence of algorithmic trading suppliers, and the expanding government support for international trade will be the primary drivers of market expansion throughout the course of the projection period.
The demand for algorithmic trading solutions to automate trading processes is, however, expected to be strongest in the Asia Pacific region throughout the projected period due to considerable governmental and private sector investments in developing their trading technology.
๐๐๐๐๐ ๐๐ ๐๐๐๐๐๐๐๐:
Chapter 1. Executive Summary
Chapter 2. Research Methodology
Chapter 3. Market Outlook
Chapter 4. COVID-19 Impact On Algorithmic Trading Market
Chapter 5. Global Algorithmic Trading Market Overview, By Component, 2017 - 2030(USD Million)
Chapter 6. Global Algorithmic Trading Market Overview, By Deployment, 2017 - 2030(USD Million)
Chapter 7. Global Algorithmic Trading Market Overview, By Type, 2017 - 2030(USD Million)
Chapter 8. Global Algorithmic Trading Market Overview, By Geography, 2017 - 2030(USD Million)
Chapter 9. North America Algorithmic Trading Market Overview, By Countries, 2017 - 2030(USD Million)
....Continued
๐๐จ๐ง๐ญ๐๐๐ญ ๐๐ฌ:
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