NEW YORK, May 22, 2019 /PRNewswire/ -- The global
algorithmic trading market size to grow at a Compound Annual Growth
Rate (CAGR) of 11.1% during the forecast period
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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 platforms segment to grow at a higher CAGR during the
forecast period
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.
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.
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%
The report includes the study of the key players offering
algorithmic trading solutions.It profiles major vendors in the
global algorithmic trading market.
The major vendors include Thomson Reuters (US), 63 moons
(India), Virtu Financial (US),
Software AG (Germany), MetaQuotes
Software (Cyprus), Symphony
Fintech (India), InfoReach (US),
Argo SE (US), Kuberre Systems (US), Tata Consulting Services
(India), QuantCore Capital
Management (China), iRageCapital
(India), Automated Trading
SoftTech (India), Tethys (US),
Trading Technologies (US), uTrade (India), Vela (US), and AlgoTrader
(Switzerland). It also includes an
in-depth competitive analysis of the key players in the algorithmic
trading market, along with their company profiles, business
overviews, product offerings, recent developments, and market
strategies.
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.
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