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NEW YORK, USA, November 10, 2022 (GLOBE NEWSWIRE) — Global algorithmic trading market size It will be valued at USD 13.02 billion in 2021 and is expected to reach USD 31.30 billion by 2030, growing at a CAGR of 13.6% between 2021 and 2030. The market for algorithmic trading is growing as financial markets and market surveillance become more integrated. The expansion of financial institutions and the increase in investment have a positive impact on the expansion of the market. Algorithmic trading involves executing a computer program according to a series of predetermined instructions. Some of the orders involve buying and selling items. Markets are expanding faster due to reduced trading costs, automated inspection of various market conditions, and execution of trades at the best prices. High-frequency trading technology is used by algorithmic traders, allowing the company to execute tens of thousands of trades per second.
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Demand on the algorithmic trading industry is expected to be driven by factors such as favorable government regulations, increasing demand for fast, reliable and efficient order execution, increasing demand for market surveillance, and falling trading costs. increase. Increased adoption of API-based trading means faster order execution, allowing investors to execute trades based on insights and analytics, while keeping customers on the analytics app and increasing customer loyalty. increase. API-based trading platforms power digital wealth management solutions to connect with capital markets and provide real-time trading and market data. Algorithmic trading is used by large brokerage firms and institutional investors to reduce the cost of high-volume trading.
During the forecast period, market expansion is expected to be driven by increased investment in trading technologies, especially blockchain, increasing number of well-known algorithmic trading firms, and increasing government support for international trade. Due to changes in technology and increased use of algorithmic trading by various end-users, including banks and financial institutions. During epidemics, buy-side and sell-side desks are reduced, as are commissions and fees. Rising volatility has increased the need for algorithmic trading services and solutions.
Browse 57 market data tables When 52 bodies spread 212 pages and detailed table of contents “Global algorithmic trading market sizeShares and Trends, COVID-19 Impact Analysis Report, By Component (Solutions, Services), By Deployment (On-Premises, Cloud-Based), By Type (Stock Markets, FOREX, Exchange Traded Funds (ETFs), Fixed Income, Cryptocurrencies & Others) , and by Regions (North America, Europe, Asia Pacific, Latin America, Middle East, and Africa), Analysis and Forecast 2021 – 2030”, Click to get the detailed report overview and research scope of this market here:
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The daily trading volume of high-frequency traders is enormous, requiring automated trading powered by software and artificial intelligence, primarily to accelerate trade execution. Therefore, this technology can only be purchased by institutional investors. In addition, they get value gains based on millisecond arbitrage and profit from it. In addition, institutional investors use algorithmic trading according to arbitrage trading strategies when they want to profit from sporadic and small price differences between stocks offered on two different exchanges.
Adoption of AI, ML, and big data in the financial services industry is expected to play a key role in the market growth of algorithmic trading. As technology advances, regulators are also starting to pay attention to how people engage with the market. Some of the world’s largest institutions have started implementing such techniques to advance algorithmic trading.
The solutions segment dominated the market share of the global algorithmic trading market in 2020 due to the advantages of algorithmic trading solutions. This is primarily what drives demand, such as lower transaction costs due to the absence of human intervention and faster and more accurate placement of trading orders. these solutions. The cloud-based segment dominates the market share of the global algorithmic trading market in 2020 as financial firms are increasingly using cloud-based solutions to increase productivity and efficiency. Additionally, cloud-based algorithmic trading solutions are becoming increasingly popular among traders as they ensure efficient process automation, data storage, and cost-effective management.
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The North America region dominates the market share of the global algorithmic trading market due to various factors such as high spending on trading technology and increasing government support for international trade. However, Asia-Pacific is expected to witness the growth of the global algorithmic trading market in the coming years, owing to heavy public and private sector investment in the advancement of trading technology.
Major companies and recent developments: The report also provides an in-depth analysis focused on the company’s current news and developments, including product development, innovations, joint ventures, partnerships, mergers and acquisitions, strategic alliances, and more. This allows for an assessment of the overall competition within the market.
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