Algorithmic Trading Market Size, Share Analysis, Trends, Key Drivers, Segmentation And Forecast To 2032

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The Business Research Company's latest "Global Algorithmic Trading Opportunities And Strategies Market Report - Forecast To 2032" is the most comprehensive report available in market that will help gain a truly global perspective with data and statistics from over 60 geographies analyzed with more than 7500 market segments. The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by region and by country. It also compares the market's historic and forecast growth and highlights important trends and strategies that can be adopted to beat the competition in the industry

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The global algorithmic trading market reached a value of nearly $16,121.1 million in 2022, having grown at a compound annual growth rate (CAGR) of 13.8% since 2017. The market is expected to grow from $16,121.1 million in 2022 to $28,908.9 million in 2027 at a rate of 12.4%. The market is then expected to grow at a CAGR of 15.7% from 2027 and reach $60,027.1 million in 2032.

Growth in the historic period resulted from 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. Factors that negatively affected growth in the historic period were security concerns associated with online trading and the lack of consistency in algorithmic trading.

Going forward, government support, the global population growth and urbanization, the increasing internet penetration and the increasing adoption of algorithmic trading in financial institutions will drive the growth. Factors that could hinder the growth of the algorithmic trading market in the future include stringent government regulations and the insufficient risk valuation capabilities in algorithmic trading systems

Algorithmic trading, also known as algo 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.

The algorithmic trading market consists of sales of algorithmic trading solutions and services by entities (organizations, sole traders and partnerships) that provide automated trading, wherein investors and traders enter and exit trades as and when the criteria match, as per the computerized instructions.

Major companies in the algorithmic trading market are focusing on using artificial intelligence (AI) to capitalize on the data from digitally driven channels. The technology is being used by several companies that operate in the areas of insurance, asset management and banking. AI-powered trading algorithms analyze enormous volumes of data considerably faster than humans. For example, in November 2022, RBC Capital Markets, a Canadian investment bank providing services in banking, finance and capital markets, launched Aiden Arrival, the second algorithm on the firm's AI-based electronic trading platform. Aiden Arrival builds on the success of the Aiden platform's first solution, a volume-weighted average price (VWAP) algorithm, which aims to reduce arrival price slippage and offer an expanded trading action set that enhances the platform's flexibility and control over the execution trajectory. Further, in February 2021, the Bank of Nova Scotia (operating as Scotiabank), a Canadian banking and financial services company, launched C.MEE, a new technology that leverages big data and artificial intelligence (AI) to enable even better customer experiences (CX) with the Bank. Using AI to predict customer needs, C.MEE provides customers with relevant and timely financial advice when they need it most.

Algorithmic Trading Market Segmentation:
By Type -
The algorithmic trading market is segmented by type into
a) Foreign Exchange (FOREX)
b) Stock Markets
c) Exchange-Traded Fund (ETF)
d) Bonds
e) Other Types

By Component -
The algorithmic trading market is segmented by component into
a) Solution
b) Services

By Function -
The algorithmic trading market is segmented by function into
a) Programming
b) Debugging
c) Data Extraction
d) Back-Testing And Optimization
e) Risk Management

By Type Of Traders -
The algorithmic trading market is segmented by type of traders into
a) Institutional Investors
b) Retail Investor
c) Long-Term Trading
d) Short-Term Traders

Some of the key players involved in the algorithmic trading market are Virtu Financial Inc, IG Group Holdings Plc, FXCM Group, London Stock Exchange Group Plc, TradeStation

The regions covered in the global algorithmic trading market are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

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A Few Points From The Table Of Content
1. Executive Summary
2. Table Of Contents
3. List Of Figures
4. List Of Tables
5. Report Structure
……
18. Competitive Landscape And Company Profiles
19. Key Mergers and Acquisitions
20. Opportunities And Strategies
21. Algorithmic Trading Market, Conclusions And Recommendations
22. Appendix

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