Algorithmic Trading Market Insights by Leading Companies Future Growth, Demand Forecast to 2024

With COVID-19 resulting in the economic fallout, numerous economies are working on game-changing improvements to protect their employees and clients. While focusing on the ongoing challenges, the leaders are embracing new plans in order to manage and stay afloat in this competitive environment. 

MarketsandMarkets forecasts the global algorithmic trading market size to grow from USD 11.1 billion in 2019 to USD 18.8 billion by 2024, at a CAGR of 11.1% during 2019–2024. The major growth drivers of the algorithmic trading market include the increasing demand for fast and effective order execution, and reducing transaction costs. The lack of monitoring and insufficient risk valuation capabilities may restrain the growth of the algorithmic trading market.

The algorithmic trading market is segmented on the basis of solutions, such as platforms and software tools. The platforms segment is expected to grow at a rapid pace during the forecast period. An efficient algorithmic trading platform provides maximum control, and high speed for consistent and profitable outputs.

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The Final Report will cover the impact analysis of COVID-19 on this industry: Algorithmic Trading Market Insights by Leading Companies Future Growth, Demand Forecast to 2024

The Exchange Traded Fund (ETF) segment to grow at the highest CAGR during the forecast period
The algorithmic trading market by trading type has been segmented into Foreign Exchange (FOREX), stock markets, ETF, bonds, cryptocurrencies, and others (commodities, assets, Credit Default Swaps, (CDS), Interest Rate Swaps (IRS), and collateral mortgage). The ETF segment to grow at the highest CAGR during the forecast period, due to the growing demand for automated trading and enhanced trading experiences.

Among regions, Asia Pacific (APAC) to grow at the highest CAGR during the forecast period
APAC is expected to grow at the highest CAGR during the forecast period. The increasing investments by the tech companies in major APAC countries, such as China, India, Australia, and Japan, and growing government regulations are expected to drive the growth of the market in APAC.

Get a PDF Sample for more detailed market insights: https://www.sdki.jp/sample-request-106752
The Final Report will cover the impact analysis of COVID-19 on this industry: Algorithmic Trading Market Insights by Leading Companies Future Growth, Demand Forecast to 2024

In-depth interviews were conducted with Chief Executive Officers (CEOs), innovation and technology directors, hedge fund managers, and executives from various key organizations operating in the algorithmic trading market.
 By Company: Tier I: 15%, Tier II: 42%, and Tier III: 43%
 By Designation: C-Level: 62%, Director-Level: 20%, and Others: 18%
 By Region: North America: 40%, APAC: 30%, Europe: 20%, MEA: 5%, and Latin America: 5%

Research coverage
The report segments the global algorithmic trading market by component, solution, service, trading type, deployment mode, enterprise size, and region. The algorithmic trading market by trading type is divided into FOREX, stock markets, ETF, bonds, cryptocurrencies, and others (commodities, assets, CDS, IRS, and collateral mortgage) categories. The component segment comprises solutions and services. The solutions segment is further segmented into platforms and software tools. The services segment is divided into professional services and managed services. The algorithmic trading market by deployment mode is segmented into cloud and on-premises. On the basis of enterprise size, the algorithmic trading market is divided into Small and Medium-sized Enterprises (SMEs) and large enterprises. The report also covers the algorithmic trading market with respect to 5 major regions: North America, Europe, APAC, Latin America, and Middle East and Africa (MEA).

The report would help the market leaders and new entrants in the global algorithmic trading market in the following ways:
1. The report segments the market into various subsegments; hence, it covers the market comprehensively. It provides the closest approximations of the revenue numbers for the overall market and its subsegments. The market numbers are further split across trading types and regions.
2. It helps in understanding the overall growth of the market. It also provides information about key market drivers, restraints, challenges, and opportunities.
3. It helps stakeholders in understanding their competitors better and gaining more insights to strengthen their positions in the market. The study also presents the positioning of the key players based on their product offerings and business strategies.

TABLE OF CONTENTS

1 INTRODUCTION 17
1.1 OBJECTIVES OF THE STUDY 17
1.2 MARKET DEFINITION 17
1.3 MARKET SCOPE 18
1.3.1 MARKET SEGMENTATION 18
1.3.2 REGIONS COVERED 19
1.4 YEARS CONSIDERED FOR THE STUDY 19
1.5 CURRENCY CONSIDERED 20
1.6 STAKEHOLDERS 20
2 RESEARCH METHODOLOGY 21
2.1 RESEARCH DATA 21
2.1.1 SECONDARY DATA 22
2.1.2 PRIMARY DATA 22
2.1.2.1 Breakup of primary profiles 23
2.1.2.2 Key industry insights 23
2.2 MARKET BREAKUP AND DATA TRIANGULATION 24
2.3 MARKET SIZE ESTIMATION 24
2.3.1 TOP-DOWN APPROACH 25
2.3.2 BOTTOM-UP APPROACH 25
2.4 MARKET FORECAST 26
2.5 ASSUMPTIONS FOR THE STUDY 27
2.6 LIMITATIONS OF THE STUDY 28

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