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한글목차
자동 알고리즘 트레이딩 시장 규모는 향후 수년간 급성장할 것으로 전망됩니다. 2029년에는 CAGR 13.2%를 나타내 393억 9,000만 달러로 성장할 전망입니다. 예측 기간의 성장은 자동거래시스템에서의 인공지능과 머신러닝 알고리즘의 이용 증가, 새로운 자산 클래스로의 확대, 실시간 데이터 분석 및 예측 분석 기능에 대한 수요 증가, 환경·사회·거버넌스(ESG) 요인에 대한 주목이 높아지고, 리스크 관리 솔루션의 강화에 기인할 것으로 예측됩니다. 예측 기간의 주요 동향으로는 인공지능(AI)과 머신러닝(ML) 기술의 통합, 클라우드 컴퓨팅 기술의 채용, 데이터 보안과 프라이버시의 중시, 암호화 통화의 채용, 분산형 금융(DeFi) 플랫폼의 출현, 알고리즘 트레이딩 전략에 대한 환경·사회·거버넌스(ESG) 기준의 통합 등이 있습니다.
향후 5년간의 성장률을 13.2%를 나타내 예측한 것은 전회 예측으로부터 0.2%의 소폭의 감소를 반영한 것입니다. 이 감소는 주로 미국과 다른 국가 간의 관세의 영향 때문입니다. 이는 주로 한국과 일본에서 수입되는 저지연 네트워킹 장비와 고주파 거래 서버의 비용 상승을 통해 미국에 직접 영향을 미칠 가능성이 높으며, 세계 시장에서 알고리즘 트레이딩 기업의 경쟁을 저하시킬 수 있습니다. 또한 상호 관세와 무역 긴장 증가와 제한으로 인한 세계 경제와 무역에 대한 악영향으로 인해 그 영향이 더 광범위하게 가해질 수 있습니다.
클라우드 기반 솔루션의 이용 증가가 예상에 따라 자동 알고리즘 트레이딩 시장은 당분간 확대될 것으로 전망됩니다. 클라우드 기반 솔루션에는 인터넷을 통해 호스팅되고 액세스할 수 있는 소프트웨어, 서비스 및 리소스가 포함되어 있으며 확장성, 비용 효율성, 유연성 및 인터넷 연결을 통해 어디서나 액세스할 수 있는 편의성을 제공합니다. 이러한 클라우드 기반 솔루션 채택 증가는 시장 데이터에 실시간 액세스를 제공하고, 신속한 거래 집행을 가능하게 하고, 거래 플랫폼 및 시스템과 원활하게 통합함으로써, 자동 알고리즘 트레이딩를 촉진하고, 상인의 효율성과 수익성을 높입니다. 예를 들어 2023년 1월 구글이 실시한 조사에서는 직원 1,500명 이상의 기업의 IT 리더의 93%가 2022년에는 어떠한 형태로 '거의 클라우드화'했다고 응답했으며, 2년 전의 83%에서 증가한 것으로 나타났습니다. 마찬가지로 48%가 '대부분이 하이브리드'라고 응답했으며 2년 전 40%에서 증가했습니다. 그 결과, 클라우드 기반 솔루션 이용 증가가 자동 알고리즘 트레이딩 시장 성장을 가속하는 요인이 되고 있습니다.
목차
제1장 주요 요약
제2장 시장 특징
제3장 시장 동향과 전략
제4장 시장 : 금리, 인플레이션, 지정학, 무역전쟁과 관세, 코로나 및 회복이 시장에 미치는 영향을 포함한 거시경제 시나리오
제5장 세계의 성장 분석과 전략 분석 프레임워크
세계의 자동 알고리즘 트레이딩 : PESTEL 분석(정치, 사회, 기술, 환경, 법적 요인, 성장 촉진요인과 억제요인)
최종 이용 산업의 분석
세계의 자동 알고리즘 트레이딩 시장 : 성장률 분석
세계의 자동 알고리즘 트레이딩 시장 실적 : 규모와 성장(2019-2024년)
세계의 자동 알고리즘 트레이딩 시장 예측 : 규모와 성장(2024-2029년, 2034년)
세계의 자동 알고리즘 트레이딩 : 전체 시장 규모(TAM)
제6장 시장 세분화
세계의 자동 알고리즘 트레이딩 시장 : 구성 요소별, 분석과 예측(2019-2024년, 2024-2029년, 2034년)
솔루션
서비스
세계의 자동 알고리즘 트레이딩 시장 : 거래 유형별, 분석과 예측(2019-2024년, 2024-2029년, 2034년)
주식 시장
외환 시장
상장지수펀드(ETF)
채권
암호화폐
기타
세계의 자동 알고리즘 트레이딩 시장 : 배포 모드별, 분석과 예측(2019-2024년, 2024-2029년, 2034년)
On-Premise
클라우드
세계의 자동 알고리즘 트레이딩 시장 : 용도별, 분석과 예측(2019-2024년, 2024-2029년, 2034년)
거래 실행
스텔스 및 게이밍
통계적 차익 거래
전략 실행
전자 시장 조성
유동성 탐지
세계의 자동 알고리즘 트레이딩 시장 : 최종 사용자별, 분석과 예측(2019-2024년, 2024-2029년, 2034년)
개인 투자자
신용 조합
신탁
연금 기금
보험사
프라임 브로커
투자 펀드
세계의 자동 알고리즘 트레이딩 시장 : 솔루션 유형별, 분석과 예측(2019-2024년, 2024-2029년, 2034년)
트레이딩 알고리즘
리스크 관리 솔루션
시장 데이터 피드
실행 관리 시스템(EMS)
포트폴리오 관리 솔루션
백테스팅 도구
세계의 자동 알고리즘 트레이딩 시장 : 서비스 유형별, 분석과 예측(2019-2024년, 2024-2029년, 2034년)
컨설팅 및 자문 서비스
통합 및 구현 서비스
관리형 서비스
유지보수 및 지원 서비스
교육 및 훈련 서비스
제7장 지역별/국가별 분석
세계의 자동 알고리즘 트레이딩 시장 : 지역별, 분석과 예측(2019-2024년, 2024-2029년, 2034년)
세계의 자동 알고리즘 트레이딩 시장 : 국가별, 분석과 예측(2019-2024년, 2024-2029년, 2034년)
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
자동 알고리즘 트레이딩 시장 : 경쟁 구도
자동 알고리즘 트레이딩 시장 : 기업 프로파일
Citadel Securities LLC
Virtu Financial Inc.
Susquehanna International Group LLP
Optiver Holding BV
Jane Street Capital LLC
제31장 기타 주요 기업 및 혁신 기업
DRW Holdings LLC
Flow Traders BV
Tower Research Capital LLC
Hudson River Trading LLC
Jump Trading LLC
FlexTrade Systems Inc.
Wolverine Trading LLC
Two Sigma Securities LLC
Quantopian Inc.
Allston Trading LLC
Ronin Capital LLC
XR Trading LLC
Trading Technologies International Inc.
InfoReach Inc.
Geneva Trading LLC
제32장 세계 시장 경쟁 벤치마킹과 대시보드
제33장 주요 인수합병(M&A)
제34장 최근 시장 동향
제35장 시장의 잠재력이 높은 국가, 전략
자동 알고리즘 트레이딩 시장(2029년) : 새로운 기회를 제공하는 국가
자동 알고리즘 트레이딩 시장(2029년) : 새로운 기회를 제공하는 부문
자동 알고리즘 트레이딩 시장(2029년) : 성장 전략
시장 동향에 의한 전략
경쟁 전략
제36장 부록
KTH
영문 목차
영문목차
Automated algorithmic trading involves the utilization of computer algorithms for executing trading decisions automatically, devoid of human intervention. This strategy aims to capitalize on market inefficiencies and swiftly and accurately execute trades, often spanning multiple markets and asset classes. It enables traders to efficiently implement intricate strategies, manage risk, and capitalize on market opportunities.
The main components of automated algorithmic trading consist of solutions and services. A solution component denotes a specific element or module within the overall system that contributes to the functionality and effectiveness of automated trading processes. Diverse trading types encompass stock markets, FOREX, exchange-traded funds (ETFs), bonds, cryptocurrencies, and others. These solutions can be deployed either on-premises or in the cloud to facilitate various applications such as trade execution, stealth or gaming, statistical arbitrage, strategy implementation, electronic market making, and liquidity detection. End-users involved in this domain include personal investors, credit unions, trusts, pension funds, insurance firms, prime brokers, and investment funds.
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 automated algo trading market research report is one of a series of new reports from The Business Research Company that provides automated algo trading market statistics, including the automated algo trading industry global market size, regional shares, competitors with automated algo trading market share, detailed automated algo trading market segments, market trends, and opportunities, and any further data you may need to thrive in the automated algo trading industry. These automated algo trading market research reports deliver a complete perspective of everything you need, with an in-depth analysis of the current and future scenarios of the industry.
The automated algo trading market size has grown rapidly in recent years. It will grow from $21.2 billion in 2024 to $24 billion in 2025 at a compound annual growth rate (CAGR) of 13.2%. The growth in the historic period can be attributed to the increased complexity of financial markets, the rise in the need for cost efficiency, the rise in the globalization of financial markets, and the increased need for effective risk management tools and strategies.
The automated algo trading market size is expected to see rapid growth in the next few years. It will grow to $39.39 billion in 2029 at a compound annual growth rate (CAGR) of 13.2%. The growth in the forecast period can be attributed to the increasing use of artificial intelligence and machine learning algorithms in automated trading systems, expansion into new asset classes, growing demand for real-time data analytics and predictive analytics capabilities, increased focus on environmental, social, and governance (ESG) factors, rise in enhanced risk management solutions. Major trends in the forecast period include the integration of artificial intelligence (AI) and machine learning (ML) technologies, adoption of cloud computing technology, focus on data security and privacy, adoption of cryptocurrencies, the emergence of decentralized finance (DeFi) platforms, and integration of environmental, social, and governance (ESG) criteria into algorithmic trading strategies.
The forecast of 13.2% 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 increased costs of low-latency networking equipment and high-frequency trading servers, primarily imported from South Korea and Japan, potentially reducing the competitiveness of algorithmic trading firms in global markets. 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 rise in the utilization of cloud-based solutions is expected to drive the expansion of the automated algo trading market in the foreseeable future. Cloud-based solutions encompass software, services, or resources hosted and accessed over the Internet, offering scalability, cost-effectiveness, flexibility, and accessibility from any location with an Internet connection. This increased adoption of cloud-based solutions facilitates automated algorithmic trading by providing real-time access to market data, enabling swift execution of trades, and seamlessly integrating with trading platforms and systems, thereby enhancing efficiency and profitability for traders. For example, in January 2023, a survey conducted by Google revealed that 93% of IT leaders from enterprises with 1,500 or more employees claimed they were 'mostly cloud' in some form in 2022, up from 83% two years prior, underscoring the growing prevalence of cloud adoption. Similarly, 48% reported being 'mostly hybrid', up from 40% two years ago. Consequently, the rise in the use of cloud-based solutions is a key driver behind the growth of the automated algo trading market.
Key players in the automated algo trading market are concentrating on the development of advanced solutions, such as fully automated crypto trading software, to enhance trading efficiency and profitability for users. Fully automated crypto trading software refers to specialized solutions designed to execute cryptocurrency trading strategies automatically without manual intervention. For instance, in March 2023, SMARD LLC launched a fully automated crypto trading software that empowers users to trade on the cryptocurrency market without the need for programming or extensive knowledge of the crypto space. Leveraging sophisticated algorithms and machine learning, this software executes trades automatically, continuously monitoring market conditions to make informed decisions. Its aim is to optimize trading efficiency by offering algorithmic trading capabilities supported by academic research and multiple strategies.
In March 2022, Trading Technologies International Inc. acquired RCM-X to enhance the value proposition of its trading platform by integrating RCM-X's product suite of algorithmic execution strategies, trade analytics, and transaction cost analysis (TCA) services. RCM-X specializes in developing automated execution algorithms and quantitative trading products tailored for institutional clients, contributing to Trading Technologies' commitment to providing advanced solutions for algorithmic trading.
Major companies operating in the automated algo trading market are Citadel Securities LLC, Virtu Financial Inc., Susquehanna International Group LLP, Optiver Holding B.V., Jane Street Capital LLC, DRW Holdings LLC, Flow Traders B.V., Tower Research Capital LLC, Hudson River Trading LLC, Jump Trading LLC, FlexTrade Systems Inc., Wolverine Trading LLC, Two Sigma Securities LLC, Quantopian Inc., Allston Trading LLC, Ronin Capital LLC, XR Trading LLC, Trading Technologies International Inc., InfoReach Inc., Geneva Trading LLC, Tethys Technology Inc., AlgoTrader GmbH, Cloud9Trader, KCG Holdings Inc., QuantConnect Corporation
North America was the largest region in the automated algo trading market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the automated algo trading market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
The countries covered in the automated algo trading market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.
The automated algo trading market includes revenues earned by entities by providing services, such as back testing and optimization, real-time market data feeds, portfolio management, and integration with brokerage platforms. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included.
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.
Automated Algo 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 automated algo 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.
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Where is the largest and fastest growing market for automated algo 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 automated algo 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 market characteristics section of the report defines and explains the market.
The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
The forecasts are made after considering the major factors currently impacting the market. These include:
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.
Market segmentations break down the market into sub markets.
The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth.
The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
The trends and strategies section analyses the shape of the market as it emerges from the crisis and suggests how companies can grow as the market recovers.
Scope
Markets Covered:1) By Component: Solution; Service
2) By Trading Type: Stock Markets; FOREX; Exchange Traded Funds (ETF); Bonds; Cryptocurrencies; Other Trading types
3) By Deployment Mode: On-Premises; Cloud
4) By Application: Trade Execution; Stealth Or Gaming; Statistical Arbitrage; Strategy Implementation; Electronic Market Making; Liquidity Detection
5) By End User: Personal Investors; Credit Unions; Trusts; Pension Funds; Insurance Firms; Prime Brokers; Investment Funds
Subsegments:
1) By Solution: Trading Algorithms; Risk Management Solutions; Market Data Feeds; Execution Management Systems (Ems); Portfolio Management Solutions; Backtesting Tools
2) By Service: Consulting And Advisory Services; Integration And Implementation Services; Managed Services; Maintenance And Support Services; Training And Education Services
Companies Mentioned:Citadel Securities LLC; Virtu Financial Inc.; Susquehanna International Group LLP; Optiver Holding B.V.; Jane Street Capital LLC; DRW Holdings LLC; Flow Traders B.V.; Tower Research Capital LLC; Hudson River Trading LLC; Jump Trading LLC; FlexTrade Systems Inc.; Wolverine Trading LLC; Two Sigma Securities LLC; Quantopian Inc.; Allston Trading LLC; Ronin Capital LLC; XR Trading LLC; Trading Technologies International Inc.; InfoReach Inc.; Geneva Trading LLC; Tethys Technology Inc.; AlgoTrader GmbH; Cloud9Trader; KCG Holdings Inc.; QuantConnect Corporation
Regions: Asia-Pacific; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
Time Series: Five years historic and ten years forecast.
Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita,
Data Segmentations: country and regional historic and forecast data, market share of competitors, market segments.
Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
Delivery Format: PDF, Word and Excel Data Dashboard.
Table of Contents
1. Executive Summary
2. Automated Algo Trading Market Characteristics
3. Automated Algo Trading Market Trends And Strategies
4. Automated Algo Trading Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Trade Wars and Tariffs, And Covid And Recovery On The Market
4.1. Supply Chain Impact from Tariff War & Trade Protectionism
5. Global Automated Algo Trading Growth Analysis And Strategic Analysis Framework
5.1. Global Automated Algo Trading PESTEL Analysis (Political, Social, Technological, Environmental and Legal Factors, Drivers and Restraints)
5.2. Analysis Of End Use Industries
5.3. Global Automated Algo Trading Market Growth Rate Analysis
5.4. Global Automated Algo Trading Historic Market Size and Growth, 2019 - 2024, Value ($ Billion)
5.5. Global Automated Algo Trading Forecast Market Size and Growth, 2024 - 2029, 2034F, Value ($ Billion)
5.6. Global Automated Algo Trading Total Addressable Market (TAM)
6. Automated Algo Trading Market Segmentation
6.1. Global Automated Algo Trading Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
Solution
Service
6.2. Global Automated Algo Trading Market, Segmentation By Trading Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
Stock Markets
FOREX
Exchange Traded Funds (ETF)
Bonds
Cryptocurrencies
Other Trading Types
6.3. Global Automated Algo Trading Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
On-Premises
Cloud
6.4. Global Automated Algo Trading Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
Trade Execution
Stealth Or Gaming
Statistical Arbitrage
Strategy Implementation
Electronic Market Making
Liquidity Detection
6.5. Global Automated Algo Trading Market, Segmentation By End User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
Personal Investors
Credit Unions
Trusts
Pension Funds
Insurance Firms
Prime Brokers
Investment Funds
6.6. Global Automated Algo Trading Market, Sub-Segmentation Of Solution, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
Trading Algorithms
Risk Management Solutions
Market Data Feeds
Execution Management Systems (Ems)
Portfolio Management Solutions
Backtesting Tools
6.7. Global Automated Algo Trading Market, Sub-Segmentation Of Service, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
Consulting And Advisory Services
Integration And Implementation Services
Managed Services
Maintenance And Support Services
Training And Education Services
7. Automated Algo Trading Market Regional And Country Analysis
7.1. Global Automated Algo Trading Market, Split By Region, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
7.2. Global Automated Algo Trading Market, Split By Country, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
