Algorithmic Trading Software Global Market Report 2025
상품코드:1808708
리서치사:The Business Research Company
발행일:On Demand Report
페이지 정보:영문 250 Pages
라이선스 & 가격 (부가세 별도)
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한글목차
알고리즘 트레이딩 소프트웨어 시장 규모는 향후 수년간 강력한 성장이 예상됩니다. 2029년에는 CAGR 8.9%를 나타내 38억 5,000만 달러로 성장할 전망입니다. 예측 기간의 성장은 정량적 거래 전략의 확대와 알고리즘 트레이딩의 채택, 리스크 관리 및 규정 준수 요구 사항의 중요성 증가, 커스터마이징 및 유연성에 대한 요구 증가, 클라우드 기반 솔루션으로의 이동 증가로 인한 것입니다. 예측 기간의 주요 동향으로는 AI와 ML 기술의 통합, 정량 트레이딩 전략의 확대, 클라우드 기반 솔루션의 채용, 알고리즘 트레이딩 소프트웨어에의 얼터너티브 데이터 소스의 통합, 알고리즘 트레이딩의 컴플라이언스에 맞춘 규제 기술(RegTech) 솔루션의 출현, 사용자 경험(UX)과 인터페이스 디자인의 개선에 주력 등을 들 수 있습니다.
향후 5년간의 성장률 8.9%라고 하는 예측은 이 시장의 전회 예측으로부터 0.9%의 소폭의 감소를 반영하고 있습니다. 이 감소는 주로 미국과 다른 국가 간의 관세의 영향 때문입니다. 이는 덴마크와 이스라엘과 같은 주요 지역에서 조달되는 퀀츠 모델링 라이브러리와 높은 빈도 무역 신호 프로세서에 대한 관세를 통해 미국에 직접 영향을 미칠 가능성이 높으며 무역 집행 속도 저하 및 소프트웨어 개발 비용 증가로 이어질 수 있습니다. 또한 상호관세와 무역의 긴장과 한계 증가로 인한 세계경제와 무역에 대한 악영향에 의해 영향이 보다 광범위하게 확대될 것으로 예측됩니다.
클라우드 기반 무역 솔루션의 상승은 알고리즘 트레이딩 소프트웨어 시장 성장을 이끌 것으로 예측됩니다. 클라우드 기반 서비스는 용도과 데이터를 로컬 장치에 저장하는 대신 원격 서버에 호스팅하고 인터넷을 통해 액세스하는 것을 의미합니다. 클라우드 기반 솔루션의 채택이 늘어나고 있는 배경에는 더 높은 유연성, 비용 절감, 위치를 선택하지 않는 데이터에 쉽게 액세스할 수 있어야 합니다. 알고리즘 트레이딩 소프트웨어는 이러한 클라우드 기반 솔루션을 통해 데이터 처리 속도를 높이고 실시간 분석, 트레이딩 전략 확장성을 향상시키는 이점을 얻고 있습니다. 예를 들어, 룩셈부르크에 본사를 둔 정부 간 기관 Eurostat는 2023년 12월 EU 기업의 45.2%가 클라우드 컴퓨팅 서비스를 이용했으며 2021년부터 4.2포인트 증가했다고 보고했습니다. 이러한 서비스는 소프트웨어, 컴퓨팅 능력, 스토리지 용량 등에 대한 액세스를 인터넷을 통해 설명합니다. 그 결과 클라우드 기반 무역 솔루션의 상승이 알고리즘 트레이딩 소프트웨어 시장 성장을 이끌고 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 알고리즘 트레이딩 소프트웨어 : PESTEL 분석(정치, 사회, 기술, 환경, 법적 요인, 성장 촉진요인 및 억제요인)
최종 이용 산업의 분석
세계의 알고리즘 트레이딩 소프트웨어 시장 : 성장률 분석
세계의 알고리즘 트레이딩 소프트웨어 시장 실적 : 규모와 성장(2019-2024년)
세계의 알고리즘 트레이딩 소프트웨어 시장 예측 : 규모와 성장(2024-2029년, 2034년)
세계의 알고리즘 트레이딩 소프트웨어 : 전체 시장 규모(TAM)
제6장 시장 세분화
세계의 알고리즘 트레이딩 소프트웨어 시장 : 구성 요소별, 분석과 예측(2019-2024년, 2024-2029년, 2034년)
솔루션
서비스
세계의 알고리즘 트레이딩 소프트웨어 시장 : 제품별, 분석과 예측(2019-2024년, 2024-2029년, 2034년)
알고리즘 트레이딩 소프트웨어
알고리즘 트레이딩 플랫폼
세계의 알고리즘 트레이딩 소프트웨어 시장 : 배포별, 분석과 예측(2019-2024년, 2024-2029년, 2034년)
클라우드 기반
On-Premise
세계의 알고리즘 트레이딩 소프트웨어 시장 : 용도별, 분석과 예측(2019-2024년, 2024-2029년, 2034년)
투자 은행
펀드
개인 투자자
기타
세계의 알고리즘 트레이딩 소프트웨어 시장 : 솔루션 유형별, 분석과 예측(2019-2024년, 2024-2029년, 2034년)
트레이딩 알고리즘
리스크 관리 솔루션
시장 데이터 피드
백테스팅 솔루션
주문 실행 관리 시스템(OEM)
포트폴리오 관리 솔루션
세계의 알고리즘 트레이딩 소프트웨어 시장 : 서비스 유형별, 분석과 예측(2019-2024년, 2024-2029년, 2034년)
컨설팅 및 자문 서비스
구현 및 통합 서비스
관리형 서비스
유지보수 및 지원 서비스
교육 및 훈련 서비스
제7장 지역별/국가별 분석
세계의 알고리즘 트레이딩 소프트웨어 시장 : 지역별, 분석과 예측(2019-2024년, 2024-2029년, 2034년)
세계의 알고리즘 트레이딩 소프트웨어 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
알고리즘 트레이딩 소프트웨어 시장 : 경쟁 구도
알고리즘 트레이딩 소프트웨어 시장 : 기업 프로파일
AlgoTrader AG
Interactive Brokers LLC
Virtu
Flow Traders Ltd.
DRW Holdings LLC
제31장 기타 주요 기업 및 혁신 기업
TradeStation Group Inc.
Tower Research Capital LLC
Hudson River Trading LLC
Jump Trading LLC
FlexTrade Systems Inc.
NinjaTrader Group LLC
Trading Technologies International Inc.
MetaQuotes Software Corp.
Teza Technologies
RSJ Group
Quantlab Financial LLC
Tradebot Systems Inc
Tethys Technology Inc.
IQBroker LLC
QuantRocket
제32장 세계 시장 경쟁 벤치마킹과 대시보드
제33장 주요 인수합병(M&A)
제34장 최근 시장 동향
제35장 시장의 잠재력이 높은 국가, 전략
알고리즘 트레이딩 소프트웨어 시장(2029년) : 새로운 기회를 제공하는 국가
알고리즘 트레이딩 소프트웨어 시장(2029년) : 새로운 기회를 제공하는 부문
알고리즘 트레이딩 소프트웨어 시장(2029년) : 성장 전략
시장 동향에 의한 전략
경쟁 전략
제36장 부록
KTH
영문 목차
영문목차
Algorithmic trading software automates the execution of trading strategies through predefined rules and algorithms. It enables traders to execute large orders at optimal prices and speeds by leveraging mathematical models and data analysis. This software facilitates rapid decision-making, reduces human error, and enhances trading efficiency in financial markets.
The primary components of algorithmic trading software comprise solutions and services. Algorithmic trading software solutions equip traders with tools and functionalities to develop, test, and execute their strategies. These products, including algorithmic trading software and platforms, can be deployed via cloud-based or on-premise setups. They find applications across various sectors such as investment banks, funds, personal investors, and more.
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 software market research report is one of a series of new reports from The Business Research Company that provides algorithmic trading software market statistics, including algorithmic trading software industry global market size, regional shares, competitors with an algorithmic trading software market share, detailed Algorithmic Trading Software market segments, market trends, and opportunities, and any further data you may need to thrive in the algorithmic trading software industry. This algorithmic trading software research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry
The algorithmic trading software market size has grown strongly in recent years. It will grow from $2.5 billion in 2024 to $2.74 billion in 2025 at a compound annual growth rate (CAGR) of 9.3%. The growth in the historic period can be attributed to rise in regulatory changes, the increasing complexity of financial markets, cost efficiency and operational scalability, the rise of globalization of financial markets, growing demand for alpha generation, and outperformance in investment strategies.
The algorithmic trading software market size is expected to see strong growth in the next few years. It will grow to $3.85 billion in 2029 at a compound annual growth rate (CAGR) of 8.9%. The growth in the forecast period can be attributed to expansion of quantitative trading strategies and the adoption of algorithmic trading, increasing emphasis on risk management and compliance requirements, rise in demand for customization and flexibility, rise in shift toward cloud-based solutions. Major trends in the forecast period include Integration of AI and ML technologies, expansion of quantitative trading strategies, adoption of cloud-based solutions, integration of alternative data sources into algorithmic trading software, the emergence of regulatory technology (RegTech) solutions tailored for algorithmic trading compliance, focus on improving user experience (UX) and interface design.
The forecast of 8.9% growth over the next five years reflects a modest reduction of 0.9% from the previous estimate for this market. 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 tariffs on quantitative modeling libraries and high-frequency trading signal processors, sourced from key regions such as Denmark and Israel, which could lead to slower trade execution speeds and increased software development expenses. 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 rise of cloud-based trading solutions is expected to drive the growth of the algorithmic trading software market. Cloud-based services refer to applications and data hosted on remote servers and accessed via the internet, rather than being stored on local devices. The adoption of cloud-based solutions is increasing due to the demand for greater flexibility, cost savings, and easy access to data from any location. Algorithmic trading software benefits from these cloud-based solutions by enabling faster data processing, real-time analytics, and enhanced scalability for trading strategies, all without requiring extensive local infrastructure. For instance, in December 2023, Eurostat, a Luxembourg-based intergovernmental organization, reported that 45.2% of EU enterprises used cloud computing services in 2023, marking a 4.2 percentage point increase from 2021. These services provide access to software, computing power, storage capacity, and more over the internet. As a result, the rise of cloud-based trading solutions is driving the growth of the algorithmic trading software market.
Key players in the algorithmic trading software market are concentrating on developing next-generation algorithmic trading platforms. These platforms are advanced software systems designed to automate trading strategies in financial markets. For instance, in September 2022, Scotiabank, a multinational banking and financial services company based in Canada, collaborated with BestEx Research Group LLC, a US-based provider of algorithmic trading solutions, to launch a next-generation algorithmic trading platform. This platform is equipped with state-of-the-art technology tailored to meet the specific requirements of Canadian market participants. It aims to offer Scotiabank clients market-leading algorithmic execution quality and superior trading performance, leveraging research-driven logic to minimize costs for institutional investors. This cutting-edge platform, part of Scotiabank's electronic trading product suite called ScotiaRED, provides institutional investors with a seamless order execution experience across the Americas, incorporating research-driven logic to reduce costs and deliver optimal trading performance for clients.
In March 2022, Trading Technologies International Inc., a US-based company specializing in trading platform development, acquired RCM-X for an undisclosed sum. Through this acquisition, Trading Technologies (TT) aims to enhance its platform by integrating RCM-X's new product suite, comprising algorithmic execution strategies, trade analytics, and transaction cost analysis (TCA) services, tailored for institutional clients. RCM-X is a US-based technology company specializing in the development of algorithmic execution strategies and quantitative trading products customized for institutional clients.
Major companies operating in the algorithmic trading software market are AlgoTrader AG, Interactive Brokers LLC, Virtu Financial, Flow Traders Ltd., DRW Holdings LLC, TradeStation Group Inc., Tower Research Capital LLC, Hudson River Trading LLC, Jump Trading LLC, FlexTrade Systems Inc., NinjaTrader Group LLC, Trading Technologies International Inc., MetaQuotes Software Corp., Teza Technologies, RSJ Group, Quantlab Financial LLC, Tradebot Systems Inc, Tethys Technology Inc., IQBroker LLC, QuantRocket, Sierra Chart, QuantConnect Corporation, StockSharp, Wealth-Lab, Python Quants GmbH
North America was the largest region in the algorithmic trading software market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the algorithmic trading software market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
The countries covered in the algorithmic trading software market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.
The algorithmic trading software market consists of revenues earned by entities providing services such as the development, licensing, and maintenance of software solutions designed to automate the execution of trading strategies based on predefined algorithms and rulesets. The market value includes the value of related goods sold by the service provider or included within the service offering. The algorithmic trading software market also includes sales of trading platforms, APIs (application programming interfaces), trading algorithms, market data feeds, and related hardware infrastructure utilized in the development and implementation of algorithmic trading strategies. Values in this market are 'factory gate' values, that is, the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.
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 Software 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 software 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 algorithmic trading software ? 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 software 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: Solutions; Services
2) By Product: Algorithmic Trading Software; Algorithmic Trading Platforms
3) By Deployment: Cloud Based; On Premise
4) By Application: Investment Banks; Funds; Personal Investors; Other Applications
Subsegments:
1) By Solutions: Trading Algorithms; Risk Management Solutions; Market Data Feeds; Backtesting Solutions; Order Execution Management Systems (Oems); Portfolio Management Solutions
2) By Services: Consulting And Advisory Services; Implementation And Integration Services; Managed Services; Maintenance And Support Services; Training And Education Services
Companies Mentioned:AlgoTrader AG; Interactive Brokers LLC; Virtu Financial; Flow Traders Ltd.; DRW Holdings LLC; TradeStation Group Inc.; Tower Research Capital LLC; Hudson River Trading LLC; Jump Trading LLC; FlexTrade Systems Inc.; NinjaTrader Group LLC; Trading Technologies International Inc.; MetaQuotes Software Corp.; Teza Technologies; RSJ Group; Quantlab Financial LLC; Tradebot Systems Inc; Tethys Technology Inc.; IQBroker LLC; QuantRocket; Sierra Chart; QuantConnect Corporation; StockSharp; Wealth-Lab; Python Quants GmbH
3. Algorithmic Trading Software Market Trends And Strategies
4. Algorithmic Trading Software 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 Algorithmic Trading Software Growth Analysis And Strategic Analysis Framework
5.1. Global Algorithmic Trading Software PESTEL Analysis (Political, Social, Technological, Environmental and Legal Factors, Drivers and Restraints)
5.2. Analysis Of End Use Industries
5.3. Global Algorithmic Trading Software Market Growth Rate Analysis
5.4. Global Algorithmic Trading Software Historic Market Size and Growth, 2019 - 2024, Value ($ Billion)
5.5. Global Algorithmic Trading Software Forecast Market Size and Growth, 2024 - 2029, 2034F, Value ($ Billion)
5.6. Global Algorithmic Trading Software Total Addressable Market (TAM)
6.1. Global Algorithmic Trading Software Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
Solutions
Services
6.2. Global Algorithmic Trading Software Market, Segmentation By Product, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
Algorithmic Trading Software
Algorithmic Trading Platforms
6.3. Global Algorithmic Trading Software Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
Cloud Based
On Premise
6.4. Global Algorithmic Trading Software Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
Investment Banks
Funds
Personal Investors
Other Applications
6.5. Global Algorithmic Trading Software Market, Sub-Segmentation Of Solutions, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
Trading Algorithms
Risk Management Solutions
Market Data Feeds
Backtesting Solutions
Order Execution Management Systems (Oems)
Portfolio Management Solutions
6.6. Global Algorithmic Trading Software Market, Sub-Segmentation Of Services, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
Consulting And Advisory Services
Implementation And Integration Services
Managed Services
Maintenance And Support Services
Training And Education Services
7. Algorithmic Trading Software Market Regional And Country Analysis
7.1. Global Algorithmic Trading Software Market, Split By Region, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
7.2. Global Algorithmic Trading Software Market, Split By Country, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
