Algorithmic Trading Market Forecast (2024-2031), Size, Share
预计算法交易市场规模在 2023 年至 2031 年期间的复合年增长率为 12.8%。自从现代交易所引入匹配引擎以来,算法交易已在世界各地使用。通过消除人为限制,此类技术进步增强了市场处理交易和订单的能力。从而推动了算法交易市场的增长。
算法交易市场分析
预计算法交易的必要性将受到有利的政府指导方针、对可靠、快速和有效订单执行的需求不断增长、对市场监督的需求不断增长以及交易成本不断降低的推动。大型机构投资者和经纪公司使用算法交易来削减大宗交易的费用。此外,预计金融服务和人工智能 (AI) 算法的发展将在预测期内产生有利可图的市场扩张机会。预计对基于云的解决方案的需求增加也将支持算法交易市场的增长。
算法交易市场概览
- 算法交易是一种自动化交易,其中计算机程序用于有效地执行一组定义的指令或指南,包括根据不同的市场数据出售或购买资产。
- 此外,定义的规则或指令集基于数量、价格、时间或任何数学模型。投资者和交易者正在采用算法交易解决方案,因为它可以帮助他们以最佳价格执行交易。
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算法交易市场:
复合年增长率(2023 - 2031)12.8%- 2023 年市场规模
XX 百万美元 - 市场规模 2031
美元 XX 百万美元
市场动态
- 云计算解决方案的采用日益广泛
- 算法交易市场技术进步日新月异
- 人工智能(AI)在金融服务领域的出现
关键人物;主力;重要一员
- 63 摩恩斯科技有限公司
- 算法交易者
- Argo 软件工程
- InfoReach 公司
- Kuberre Systems, Inc.
- MetaQuotes 有限公司
- 路孚特
- 交响乐
- 塔塔咨询服务有限公司
- VIRTU 金融公司
区域概况
- 北美
- 欧洲
- 亚太
- 南美洲和中美洲
- 中东和非洲
市场细分
- 平台
- 软件工具
- 专业服务和托管服务
- 云端和本地
- 外汇
- 示例 PDF 通过定性和定量分析展示了内容结构和信息的性质。
算法交易市场驱动因素
金融服务领域人工智能(AI)的兴起推动算法交易市场
- 一些金融服务公司正在加大对人工智能和机器学习的采用,以利用来自数字驱动渠道的信息。这进一步导致了过去几年数据驱动投资的发展趋势。
- 算法交易的使用由于其完全自动化、易于多样化的能力以及快速的交易执行而激增。
算法交易市场报告细分分析
- 根据部署情况,算法交易市场分为本地部署和云端部署。预计云端部署将在 2023 年占据算法交易市场的大部分份额。
- 基于云的算法交易平台预计将在市场增长中发挥关键作用,因为它具有多种优势,例如获取最大利润、自动化交易程序、轻松维护交易数据、可扩展性、成本效益和高效管理。
算法交易市场份额按地区分析
算法交易市场的范围主要分为五个区域——北美、欧洲、亚太地区、中东和非洲以及南美。2023 年,北美占据了算法交易市场份额的主导地位。区域增长可以归因于该地区有多家市场参与者。这些供应商还在实施各种增长战略,以巩固其在市场上的地位。预计在预测期内,许多因素(例如对交易技术的投资增加以及政府对全球交易活动的支持不断增加)将有助于北美市场的区域增长。
算法交易市场报告范围
报告属性 | 细节 |
---|---|
2023 年的市场规模 | XX 百万美元 |
2031 年市场规模 | XX 百万美元 |
全球复合年增长率(2023 - 2031) | 12.8% |
历史数据 | 2021-2022 |
预测期 | 2024-2031 |
涵盖的领域 | 按解决方案
|
覆盖地区和国家 | 北美
|
市场领导者和主要公司简介 |
|
- 示例 PDF 通过定性和定量分析展示了内容结构和信息的性质。
“算法交易市场分析”根据类型、模式、分销渠道和地理位置进行调查。根据解决方案,市场分为平台和软件工具。根据服务前景,市场分为专业服务和托管服务。根据部署,市场分为云和本地。根据交易类型,市场分为外汇 (FOREX)、股票市场、交易所交易基金(ETF)、债券、加密货币等。根据交易者类型,市场分为机构投资者、长期交易者、短期交易者和散户投资者。根据地理位置,市场分为北美、欧洲、亚太地区、中东和非洲以及南美。
算法交易市场新闻和最新发展
公司在市场上采用无机和有机战略,例如并购。以下列出了一些近期的关键市场发展:
- 2022 年 10 月,伦敦证券交易所集团旗下企业 Refinitiv 宣布推出个性化、安全且无摩擦的全球数字入职解决方案,以支持企业简化其客户入职方式。Refinitiv 的数字客户入职解决方案提供了一个完全可配置的用户界面,使组织能够提供可通过移动、网络和 API 交付的产品应用程序流程。[来源:Refinitiv,公司网站]
算法交易市场报告覆盖范围和交付成果
算法交易市场预测是根据各种二手和一手研究结果估算的,例如主要公司出版物、协会数据和数据库。市场报告“算法交易市场规模和预测(2021-2031 年)”对市场进行了详细分析,涵盖以下领域:
- 范围内涵盖的所有主要细分市场的全球、区域和国家层面的市场规模和预测。
- 市场动态,例如驱动因素、限制因素和关键机遇。
- 未来的主要趋势。
- 详细的 PEST 和 SWOT 分析
- 全球和区域市场分析涵盖主要市场趋势、主要参与者、法规和最新的市场发展。
- 行业格局和竞争分析,包括市场集中度、热图分析、关键参与者和最新发展。
- 详细的公司简介。
Report Coverage
Revenue forecast, Company Analysis, Industry landscape, Growth factors, and Trends
Segment Covered
This text is related
to segments covered.
Regional Scope
North America, Europe, Asia Pacific, Middle East & Africa, South & Central America
Country Scope
This text is related
to country scope.
Frequently Asked Questions
The global algorithmic trading market was estimated to grow at a CAGR of 12.8% during 2023 - 2031.
Growing technological adoption and adoption of automated algorithmic trading are the major factors that propel the global algorithmic trading market.
The emergence of Artificial Intelligence (AI) and Machine Learning (ML) in algorithmic trading is anticipated to play a significant role in the global algorithmic trading market in the coming years.
The key players holding principal shares in the global algorithmic trading market are 63 moons Technologies Limited, AlgoTrader, Argo Software Engineering, InfoReach, Inc., and Kuberre Systems, Inc.
The Insight Partners performs research in 4 major stages: Data Collection & Secondary Research, Primary Research, Data Analysis and Data Triangulation & Final Review.
- Data Collection and Secondary Research:
As a market research and consulting firm operating from a decade, we have published and advised several client across the globe. First step for any study will start with an assessment of currently available data and insights from existing reports. Further, historical and current market information is collected from Investor Presentations, Annual Reports, SEC Filings, etc., and other information related to company’s performance and market positioning are gathered from Paid Databases (Factiva, Hoovers, and Reuters) and various other publications available in public domain.
Several associations trade associates, technical forums, institutes, societies and organization are accessed to gain technical as well as market related insights through their publications such as research papers, blogs and press releases related to the studies are referred to get cues about the market. Further, white papers, journals, magazines, and other news articles published in last 3 years are scrutinized and analyzed to understand the current market trends.
- Primary Research:
The primarily interview analysis comprise of data obtained from industry participants interview and answers to survey questions gathered by in-house primary team.
For primary research, interviews are conducted with industry experts/CEOs/Marketing Managers/VPs/Subject Matter Experts from both demand and supply side to get a 360-degree view of the market. The primary team conducts several interviews based on the complexity of the markets to understand the various market trends and dynamics which makes research more credible and precise.
A typical research interview fulfils the following functions:
- Provides first-hand information on the market size, market trends, growth trends, competitive landscape, and outlook
- Validates and strengthens in-house secondary research findings
- Develops the analysis team’s expertise and market understanding
Primary research involves email interactions and telephone interviews for each market, category, segment, and sub-segment across geographies. The participants who typically take part in such a process include, but are not limited to:
- Industry participants: VPs, business development managers, market intelligence managers and national sales managers
- Outside experts: Valuation experts, research analysts and key opinion leaders specializing in the electronics and semiconductor industry.
Below is the breakup of our primary respondents by company, designation, and region:
Once we receive the confirmation from primary research sources or primary respondents, we finalize the base year market estimation and forecast the data as per the macroeconomic and microeconomic factors assessed during data collection.
- Data Analysis:
Once data is validated through both secondary as well as primary respondents, we finalize the market estimations by hypothesis formulation and factor analysis at regional and country level.
- Macro-Economic Factor Analysis:
We analyse macroeconomic indicators such the gross domestic product (GDP), increase in the demand for goods and services across industries, technological advancement, regional economic growth, governmental policies, the influence of COVID-19, PEST analysis, and other aspects. This analysis aids in setting benchmarks for various nations/regions and approximating market splits. Additionally, the general trend of the aforementioned components aid in determining the market's development possibilities.
- Country Level Data:
Various factors that are especially aligned to the country are taken into account to determine the market size for a certain area and country, including the presence of vendors, such as headquarters and offices, the country's GDP, demand patterns, and industry growth. To comprehend the market dynamics for the nation, a number of growth variables, inhibitors, application areas, and current market trends are researched. The aforementioned elements aid in determining the country's overall market's growth potential.
- Company Profile:
The “Table of Contents” is formulated by listing and analyzing more than 25 - 30 companies operating in the market ecosystem across geographies. However, we profile only 10 companies as a standard practice in our syndicate reports. These 10 companies comprise leading, emerging, and regional players. Nonetheless, our analysis is not restricted to the 10 listed companies, we also analyze other companies present in the market to develop a holistic view and understand the prevailing trends. The “Company Profiles” section in the report covers key facts, business description, products & services, financial information, SWOT analysis, and key developments. The financial information presented is extracted from the annual reports and official documents of the publicly listed companies. Upon collecting the information for the sections of respective companies, we verify them via various primary sources and then compile the data in respective company profiles. The company level information helps us in deriving the base number as well as in forecasting the market size.
- Developing Base Number:
Aggregation of sales statistics (2020-2022) and macro-economic factor, and other secondary and primary research insights are utilized to arrive at base number and related market shares for 2022. The data gaps are identified in this step and relevant market data is analyzed, collected from paid primary interviews or databases. On finalizing the base year market size, forecasts are developed on the basis of macro-economic, industry and market growth factors and company level analysis.
- Data Triangulation and Final Review:
The market findings and base year market size calculations are validated from supply as well as demand side. Demand side validations are based on macro-economic factor analysis and benchmarks for respective regions and countries. In case of supply side validations, revenues of major companies are estimated (in case not available) based on industry benchmark, approximate number of employees, product portfolio, and primary interviews revenues are gathered. Further revenue from target product/service segment is assessed to avoid overshooting of market statistics. In case of heavy deviations between supply and demand side values, all thes steps are repeated to achieve synchronization.
We follow an iterative model, wherein we share our research findings with Subject Matter Experts (SME’s) and Key Opinion Leaders (KOLs) until consensus view of the market is not formulated – this model negates any drastic deviation in the opinions of experts. Only validated and universally acceptable research findings are quoted in our reports.
We have important check points that we use to validate our research findings – which we call – data triangulation, where we validate the information, we generate from secondary sources with primary interviews and then we re-validate with our internal data bases and Subject matter experts. This comprehensive model enables us to deliver high quality, reliable data in shortest possible time.