세계의 알고리즘 트레이딩 시장 보고서(2025년)
Algorithmic Trading Global Market Report 2025
상품코드 : 1808168
리서치사 : The Business Research Company
발행일 : On Demand Report
페이지 정보 : 영문 250 Pages
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한글목차

알고리즘 트레이딩 시장은 향후 수년간 급성장할 것으로 전망됩니다. 2029년까지 CAGR 14.9%로 381억 3,000만 달러로 성장할 전망입니다. 예측 기간의 성장은 정부 지원, 세계 인구 증가와 도시화, 인터넷 보급률 증가, 금융기관에서의 알고리즘 트레이딩 채용 증가 등을 요인으로 들 수 있습니다. 예측 기간의 주요 동향으로는 디지털 주도 채널로부터 데이터를 활용하기 위한 인공지능(AI)의 활용, 재무 체질, 제품 포트폴리오, 지리적 존재감을 향상시키기 위한 제휴와 인수에의 주력, 시장에서의 지위를 강화하기 위한 신기술에의 주력, 그리고 첨단 기술 솔루션의 개척 등이 있습니다.

향후 5년간 예측되는 성장률 14.9%는 과거 예측에서 0.2% 감소하였습니다. 이러한 성장 감소는 주로 미국과 다른 국가 간의 관세의 영향 때문입니다. 이 영향은 오스트리아, 아일랜드 등 주요 지역에서 공급되는 저지연 집행 엔진과 시장 감정 분석 애플리케이션 프로그래밍 인터페이스(API) 공급망 혼란을 통해 미국에 직접 영향을 미칠 가능성이 높아 금융기관의 거래 효율 저하 및 인프라 비용 증가로 이어질 수 있습니다. 또한 상호 관세와 무역 긴장 증가와 제한으로 인한 세계 경제와 무역에 대한 악영향으로 인해 그 영향이 더 광범위하게 늘어날 것으로 보입니다.

알고리즘 트레이딩 시장의 성장은 인터넷 보급률 증가에 의해 촉진될 것으로 예측됩니다. 인터넷 이용이 세계적으로 계속 증가하고 온라인 거래에 대한 정보와 지식을 얻기 위한 온라인 플랫폼에 대한 액세스를 사람들에게 제공함으로써 알고리즘 트레이딩 시장은 수익을 창출합니다. 온라인 거래는 인터넷 연결에 크게 의존하고 있으며 인터넷 보급률이 급증하면 시장 성장을 지원할 가능성이 높습니다. 예를 들어, DataReportal에 따르면 2023년 초에 세계 인구의 64.4%에 해당하는 51억 6,000만 명이 인터넷을 이용했음이 밝혀졌습니다. 인도에서는 2022년 7월에 6억 9,200만 명의 활성 인터넷 사용자가 있었으며, 2025년에는 9억 명으로 증가할 것으로 예측됩니다. 이 추세는 알고리즘 트레이딩 시장을 전진시키는 데 있어서 인터넷 보급률 증가가 중요한 역할을 한다는 것을 보여줍니다.

목차

제1장 주요 요약

제2장 시장 특징

제3장 시장 동향과 전략

제4장 시장 : 금리, 인플레이션, 지정학, 무역 전쟁과 관세, 그리고 코로나 및 회복이 시장에 미치는 영향을 포함한 거시 경제 시나리오

제5장 세계의 성장 분석과 전략 분석 프레임워크

제6장 시장 세분화

제7장 지역별/국가별 분석

제8장 아시아태평양 시장

제9장 중국 시장

제10장 인도 시장

제11장 일본 시장

제12장 호주 시장

제13장 인도네시아 시장

제14장 한국 시장

제15장 서유럽 시장

제16장 영국 시장

제17장 독일 시장

제18장 프랑스 시장

제19장 이탈리아 시장

제20장 스페인 시장

제21장 동유럽 시장

제22장 러시아 시장

제23장 북미 시장

제24장 미국 시장

제25장 캐나다 시장

제26장 남미 시장

제27장 브라질 시장

제28장 중동 시장

제29장 아프리카 시장

제30장 경쟁 구도와 기업 프로파일

제31장 기타 주요 기업 및 혁신 기업

제32장 세계 시장 경쟁 벤치마킹과 대시보드

제33장 주요 인수 합병(M&A)

제34장 최근 시장 동향

제35장 시장의 잠재력이 높은 국가, 부문, 전략

제36장 부록

CSM
영문 목차

영문목차

Algorithmic trading is a methodology employing scripted computer codes and algorithms to execute transactions according to predetermined rules Programed into a computer system. This approach serves to minimize transaction costs and prevent substantial price fluctuations.

The primary categories of algorithmic trading encompass stock market trading, foreign exchange (forex), exchange-traded funds (ETFs), bonds, and other financial instruments. A stock market represents a platform where buyers and sellers engage in the exchange of equity shares from public corporations. The key elements involved in algorithmic trading are solutions and services designed for programming, debugging, data extraction, back-testing, optimization, and risk management functions. These tools find application among institutional investors, long-term traders, and short-term traders alike.

Note that the outlook for this market is being affected by rapid changes in trade relations and tariffs globally. The report will be updated prior to delivery to reflect the latest status, including revised forecasts and quantified impact analysis. The report's Recommendations and Conclusions sections will be updated to give strategies for entities dealing with the fast-moving international environment.

The sharp rise in U.S. tariffs and the ensuing trade tensions in spring 2025 are having a considerable impact on the financial sector, particularly in the areas of investment strategies and risk management. The increased tariffs have intensified market volatility, leading institutional investors to adopt more cautious approaches and driving greater demand for hedging solutions. Banks and asset managers are encountering higher costs in cross-border transactions as disrupted global supply chains and declining corporate earnings weigh on equity market performance. At the same time, insurance providers are facing elevated claims risks linked to supply chain interruptions and trade-related business losses. Furthermore, reduced consumer spending and weaker export demand are limiting credit growth and dampening investment appetite. In response to these challenges, the sector must focus on diversification, accelerate digital transformation, and strengthen scenario planning to manage the heightened economic uncertainty and safeguard profitability.

The algorithmic trading market research report is one of a series of new reports from The Business Research Company that provides algorithmic trading market statistics, including algorithmic trading industry global market size, regional shares, competitors with algorithmic trading market share, detailed algorithmic trading market segments, market trends, and opportunities, and any further data you may need to thrive in the algorithmic trading industry. This algorithmic trading market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenarios of the industry.

The algorithmic trading market size has grown strongly in recent years. It will grow from $19.95 billion in 2024 to $21.89 billion in 2025 at a compound annual growth rate (CAGR) of 9.7%. 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 $38.13 billion in 2029 at a compound annual growth rate (CAGR) of 14.9%. 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 development of technologically advanced solutions to strengthen their position in the market.

The forecast of 14.9% growth over the next five years reflects a slight reduction of 0.2% from the previous projection. This reduction is primarily due to the impact of tariffs between the US and other countries. This is likely to directly affect the US through supply chain disruptions for low-latency execution engines and market sentiment analysis application programming interface (APIs), sourced from key regions such as Austria and Ireland, which could lead to reduced trading efficiency and increased infrastructure costs for financial institutions. The effect will also be felt more widely due to reciprocal tariffs and the negative effect on the global economy and trade due to increased trade tensions and restrictions.

The anticipated growth in the algorithmic trading market is expected to be propelled by the increasing penetration of the internet. As internet usage continues to rise globally, providing people with access to online platforms for information and knowledge about online trading, the algorithmic trading market stands to benefit. Online trading relies heavily on internet connectivity, and the surge in internet penetration is likely to support market growth. For instance, as of the beginning of 2023, an estimated 5.16 billion individuals worldwide, equivalent to 64.4% of the global population, were using the internet, according to DataReportal. In India, there were 692 million active internet users in July 2022, with projections indicating an increase to 900 million users by 2025. This trend underscores the significant role of increasing internet penetration in driving the algorithmic trading market forward.

Government support is anticipated to be a key driver of growth in the algorithmic trading market. Governments worldwide are actively supporting the trading sector to develop innovative solutions that better serve the industry. For example, in December 2022, Chinese authorities prepared to launch the state-controlled 'China Digital Asset Trading Platform' in collaboration with various entities, facilitating the trading of non-fungible tokens (NFTs) and other digital assets. Similarly, the UK initiated live testing of crypto blockchain technology in June 2022, focusing on financial market activities such as trading and settlement, as part of its efforts to become a global crypto hub. The UK is actively creating a favorable regulatory environment to attract investments and promote the use of blockchain technology and crypto assets. Consequently, government support is expected to drive advancements in the trading industry, leading to increased demand for the algorithmic trading market.

Major companies in the algorithmic trading market are focusing on product innovations, such as AI-based tools, to enhance trade analysis and optimize trading strategies for better decision-making and performance. An AI-based tool is a software application that employs artificial intelligence technologies, including machine learning and natural language processing, to analyze data and automate decision-making processes. For instance, in October 2024, Octa, a Malaysia-based international broker offering online trading services, launched OctaVision, an AI-based tool integrated into its trading platform. This tool is designed to enhance trade analysis and provide personalized recommendations for traders. By utilizing advanced AI algorithms to analyze trading sessions, this innovative solution helps users refine their decision-making skills and ultimately improve their trading performance.

Companies operating in the algorithmic trading market are placing a strong focus on leveraging new technologies and developing technologically advanced solutions to bolster their market standing. An example of this is Octanom Tech, an InvesTech company based in India, which, in January 2023, unveiled the first artificial intelligence-backed platform named 'Hedged.' This platform provides investment and trading solutions to retail investors, offering hedged options trades driven by proprietary algorithms. 'Hedged' also features curated micro-sized investment funds with built-in hedges, aiming to safeguard investors' wealth from market volatility. This strategic approach of introducing innovative products aligns with the broader trend in the algorithmic trading market, where companies seek to stay competitive by offering advanced and technologically sophisticated solutions.

In March 2022, Trading Technologies International Inc., a leading US-based technology company specializing in professional trading software, infrastructure, and data solutions, successfully acquired RCM-X for an undisclosed sum. This strategic acquisition serves to enhance Trading Technologies' product portfolio, particularly in the areas of algorithmic execution strategies, trade analytics, and Transaction Cost Analysis (TCA) services. The integration of RCM-X's expertise and offerings is aimed at further elevating the overall customer experience for Trading Technologies. RCM-X, a financial technology company based in the United States, is recognized for its development of algorithmic execution strategies and quantitative trading products.

Major companies operating in the algorithmic trading market include 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, Barclays, DTI Algorithmic, BitOasis, MidChains, HAYVN, XTX Markets, ActiveViam, Redline Trading Solutions, Inc, J.P. Morgan, Capital Group, Goldman Sachs, Zen Trading Strategies, SmarttBot, Banco Bradesco S.A, Itau Unibanco, Interactive Brokers, AVAtrade, eTORO, Arabeya Online, Plus500, XTB, Saxo Bank, City Index

North America was the largest region in the algorithmic trading market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the algorithmic trading market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

The countries covered in the algorithmic trading market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Italy, Spain, Canada.

Algorithmic trading includes revenues earned by entities by providing automated trading services, financial services, trade executions, and system architecture management. The market value includes the value of related goods sold by the service provider or included within the service offering.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

Algorithmic Trading Global Market Report 2025 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses on algorithmic trading market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

Reasons to Purchase

Where is the largest and fastest growing market for algorithmic trading ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The algorithmic trading market global report from the Business Research Company answers all these questions and many more.

The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.

The forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.

Scope

Table of Contents

1. Executive Summary

2. Algorithmic Trading Market Characteristics

3. Algorithmic Trading Market Trends And Strategies

4. Algorithmic Trading Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Trade Wars and Tariffs, And Covid And Recovery On The Market

5. Global Algorithmic Trading Growth Analysis And Strategic Analysis Framework

6. Algorithmic Trading Market Segmentation

7. Algorithmic Trading Market Regional And Country Analysis

8. Asia-Pacific Algorithmic Trading Market

9. China Algorithmic Trading Market

10. India Algorithmic Trading Market

11. Japan Algorithmic Trading Market

12. Australia Algorithmic Trading Market

13. Indonesia Algorithmic Trading Market

14. South Korea Algorithmic Trading Market

15. Western Europe Algorithmic Trading Market

16. UK Algorithmic Trading Market

17. Germany Algorithmic Trading Market

18. France Algorithmic Trading Market

19. Italy Algorithmic Trading Market

20. Spain Algorithmic Trading Market

21. Eastern Europe Algorithmic Trading Market

22. Russia Algorithmic Trading Market

23. North America Algorithmic Trading Market

24. USA Algorithmic Trading Market

25. Canada Algorithmic Trading Market

26. South America Algorithmic Trading Market

27. Brazil Algorithmic Trading Market

28. Middle East Algorithmic Trading Market

29. Africa Algorithmic Trading Market

30. Algorithmic Trading Market Competitive Landscape And Company Profiles

31. Algorithmic Trading Market Other Major And Innovative Companies

32. Global Algorithmic Trading Market Competitive Benchmarking And Dashboard

33. Key Mergers And Acquisitions In The Algorithmic Trading Market

34. Recent Developments In The Algorithmic Trading Market

35. Algorithmic Trading Market High Potential Countries, Segments and Strategies

36. Appendix

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