Algorithmic Trading Global Market Report 2024 - By Report, Size, Share, Drivers, Forecast To 2033

The algorithmic trading market size has grown rapidly in recent years. It will grow from $18.22 billion in 2023 to $20.52 billion in 2024 at a compound annual growth rate (CAGR) of 12.6%. The growth in the historic period can be attributed to the strong emerging markets growth, the rising demand for fast, reliable and effective order execution, the increasing government regulations, the growth in digitalization and increased demand for computing devices such as pcs and laptops.

The algorithmic trading market size is expected to see rapid growth in the next few years. It will grow to $33.87 billion in 2028 at a compound annual growth rate (CAGR) of 13.3%. The growth in the forecast period can be attributed to government support, the global population growth and urbanization, the increasing internet penetration and the increasing adoption of algorithmic trading in financial institutions. Major trends in the forecast period include use of artificial intelligence (ai) to capitalize on the data from digitally driven channels, focus on collaborations and acquisitions to improve their financial strength, product portfolio and geographical presence, focus on new technologies and developing technologically-advanced solutions to strengthen their position in the market.

Market Overview -
Algorithmic trading is a technique that uses scripted computer codes and algorithms to open and close transactions under predefined rules that are programmed into a computer system. It reduces transaction costs and avoids significant price changes.

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The Role Of Increasing Internet Penetration In Fueling Growth Of The Algorithmic Trading Market
Increasing internet penetration is expected to drive the algorithmic trading market going forward. Rising penetration of the internet helps consumers gain access to online platforms to gain knowledge and information about online trading. Online trading is highly dependent on the internet, therefore a rise in internet penetration will support the growth of the market. For example, according to DataReportal, a Singapore-based online reference library, a total of 5.16 billion people around the world used the internet at the start of 2023, which is equivalent to 64.4% of the world's total population. Additionally, in July 2022, according to Livemint, an India-based financial daily newspaper, there are a total of 692 million active internet users in India, including 351 million from rural India and 341 million from urban India. The report estimated that there will be 900 million internet users in India by 2025. Therefore, increasing internet penetration will propel the growth of the algorithmic trading market.

Competitive Landscape -
Major companies operating in the algorithmic trading market report are Virtu Financial Inc, IG Group Holdings Plc, FXCM Group, London Stock Exchange Group Plc, Trade Station, Software AG, Wyden (Algo Trader AG), Symphony Fintech Solutions Pvt Ltd, MetaQuotes Software Corp, 63 Moons Technologies Limited, iRage Capital, AlphaGrep, Kivi Capital, Mansukh Securities, Algoji, Tickeron, Inc, 1000pip Climber Robot, Build Alpha, Coinrule, Trality, IntoDarkness, Hugh, Curate, Avaloq Blockchain, Glencore (GLEN), Barclays, Prudential, Lloyds Banking Group, DTI Algorithmic, BitOasis, Gath3r, MidChains, HAYVN, XTX Markets, ActiveViam, Redline Trading Solutions, Inc, J.P. Morgan, Capital Group, Goldman Sachs, Zen Trading Strategies, SmarttBot, ATOM S/A, Ultrapar Participacoes, Banco Bradesco S.A, Itau Unibanco, Interactive Brokers, AVAtrade, eTORO, Arabeya Online, CalBank PLC, Plus500, XTB, Saxo Bank, City Index

Pioneering Product Developments Shaping The Algorithmic Trading Market
Product innovations are a key trend gaining popularity in the algorithmic trading market. Major players are concentrating their efforts on creating innovative products to sustain their position in the algorithmic trading market. For instance, in July 2021, Rain Technologies, Inc., a Canada-based technology company, launched RAIN TRADER. Rain Trader is a web-based platform that provides automated trading and algorithmic trading models. This platform gives individuals the opportunity to engage in hassle-free, fully automated algorithmic trading.

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Key Segments -
The algorithmic trading market covered in this report is segmented -
1) By Type: Foreign Exchange (FOREX), Stock Markets, Exchange-Traded Fund (ETF), Bonds, Other Types
2) By Component: Solution, Services
3) By Function: Programming, Debugging, Data Extraction, Back-Testing And Optimization, Risk Management
4) By Type Of Traders: Institutional Investors, Retail Investor, Long-Term Trading , Short-Term Traders

Key highlights covered in the report -
1. Detailed market size forecast and historical data analysis
2. Key drivers influencing market growth
3. Identification of upcoming trends and potential opportunities in the market
4. Analysis of major players strategies, to understand competitive dynamics and market positioning
5. Evaluation of regional dynamics

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