Summary
A New Market Study, titled “Algorithm Trading Industry Upcoming Trends, Growth Drivers and Challenges” has been featured on Market Research Future.
Market Synopsis
Market Research Future (MRFR), in its latest report on the Algorithm Trading Industry 2020, discusses multiple factors govern the market. A complete analysis on the impact of COVID 19 on the Algorithm Trading Industry is availed along with the report. As per MRFR findings, the Algorithm Trading Industry value can exceed USD 9.2 billion on the conclusion of the analysis period. The Algorithm Trading Industry is expected to thrive at 12.5% CAGR in the forecast period. The surge in the application of automated trading software by top notch financial firm can support the market rise.
Market Segmentation
The segment evaluation of the Algorithm Trading Industry is done by organization size, trading type deployment mode, and component.
The component based segments of the global algorithm trading global market are solutions and services. The solution segments are platform and software tools. The services segments of the algorithm trading global market are professional services and managed services. The increase in the need for algorithm trading services and solutions can impel the rise of the market.
The trading type based segments of the Algorithm Trading Industry are stock markets, foreign exchange, bonds, exchange-traded funds, and crypto currencies. The deployment mode based segments of the algorithm trading global market are cloud and on-premise. The high utility of algorithm trading on cloud platform can promote the expansion of the algorithm trading global market through the analysis period. The organization size based segments of the algorithm trading global market are large enterprise and SMEs. The increase in the adoption of algorithm trading solution by SMEs can support the rise of the market across the analysis period.
Regional Analysis
The trends of the Algorithm Trading Industry is done across EU, North America, Middle East and Africa, APAC, and South America.
The presence of effective technologies across the North America region is expected to bolster the rise of the regional market. The Algorithm Trading Industry in North America is likely to hold the highest share of the global market across the forecast period. The availability of top notch technical expertise and the continuous development in algorithm on Python, MATLAB, Perl, C++, and JAVA can impel the rise of North America Algorithm Trading Industry. In Asia Pacific, the rise of the algorithm trading global market through the assessment period can be credited to the continuous digital transformation in the financial sectors. The rise in the dependency on cloud computing is anticipated to support the rise of the Algorithm Trading Industry across the assessment period. In addition, the ability of trading software to function on multiple platforms such as mobile and desktops devices can promote the expansion of APAC market. In Europe, the growing popularity of software as a service (SaaS) models that enable end users to store and easily accesses data on devices can promote the rise of the regional market in the years ahead. The higher scalability and accessibility offered by cloud-based trading software can promote the expansion of the regional market. Europe algorithm trading platform market expansion can be attributed to the increase in the integration of machine learning and artificial intelligence in algorithm trading platform.
Key Players
Tethys (US), Kuberre Systems (US), Thomson Reuters (US), Symphony Fintech (India), InfoReach (US), 63 moons (India), Argo SE (US), Automated Trading SoftTech (India), Vela (US), MetaQuotes Software (Cyprus), Trading Technologies (US), Tata Consulting Services (India), Tata Consulting Services (India), QuantCore Capital Management (China), uTrade (India), Virtue Financial (US), iRageCapital (India), and Software AG (Germany) are some notable names in the Automated Algorithmic Trading System market as profiled by MRFR.
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Major Key Points in Table of Content
1 Executive Summary
1.1 Market Attractiveness Analysis
1.1.1 By Component
1.1.2 By Trading Type
1.1.3 By Deployment Mode
1.1.4 By Organization Size
1.1.5 Algorithm Trading Industry, By Region
….
- Company Profiles
12.1 Thomson Reuters
12.1.1 Company Overview
12.1.2 Product/Business Segment Overview
12.1.3 Financial Updates
12.1.4 Key Developments
12.1.5 Key Strategies
12.2 InfoReach.
12.2.1 Company Overview
12.2.2 Product/Business Segment Overview
12.2.3 Financial Updates
12.2.4 Key Developments
12.2.5 Key Strategies
12.3 63 Moons
12.3.1 Company Overview
12.3.2 Product/Business Segment Overview
12.3.3 Financial Updates
12.3.4 Key Developments
12.3.5 Key Strategies
12.4 Argo SE
12.4.1 Company Overview
12.4.2 Product/Business Segment Overview
12.4.3 Financial Updates
12.4.4 Key Developments
12.4.5 Key Strategies
12.5 MetaQuotes Software
12.5.1 Company Overview
12.5.2 Product/Business Segment Overview
12.5.3 Financial Updates
12.5.4 Key Developments
12.5.5 Key Strategies
12.6 Automated Trading SoftTech
12.7 Tethys
12.8 Trading Technologies
12.9 UTrade
12.10 Tata Consulting Services
12.11 Vela
12.12 Virtu Financial
12.13 Symphony Fintech
12.14 Kuberre Systems
12.15 Software AG
Continued….
Complete Report Details @ https://www.marketresearchfuture.com/reports/algorithm-trading-market-8016
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OverviewThe algorithm trading industry is projected to grow at a CAGR of 12.5% during the forecast period.
As per the algorithm trading industry’s research report, the global market for algorithm trading is projected to grow swiftly by US$ 20.9 billion by 2024.
Additionally, the market on the basis of trading type, is segmented into bonds, cryptocurrencies, exchange-traded funds, stock markets, and foreign exchange.
On the basis of components, the market for algorithm trading is segmented based on solutions and services.Major elements such as lack of transparency could obstruct the algorithm trading growth.
The algorithm trading industry research report provides an extensive understanding of the algorithm trading industry based on the information and forecasts till 2024.Regional OverviewNorth America, Europe, Asia Pacific and the rest of the world regional market for algorithm trading are predominantly covered in the global algorithm trading industry research report.
In Asia-Pacific (APAC) region, the country-level algorithm trading industrys covered are Japan, India, China, and others.
OverviewThe algorithm trading industry is projected to grow at a CAGR of 12.5% during the forecast period.
As per the algorithm trading market research report, the global market for algorithm trading is projected to grow swiftly by US$20.9 billion by 2027.
According to analysts, the increase in adoption of automated trading software as well as increase in the demand will drive the market growth during the forecast period.
Additionally, the market on the basis of trading type, is segmented into bonds, cryptocurrencies, exchange-traded funds, stock markets, and foreign exchange.
On the basis of components, the market for algorithm trading is segmented based on solutions and services.Request a Free Sample @ https://www.marketresearchfuture.com/sample_request/8016Major elements such as lack of transparency could obstruct the algorithm trading market growth.
The algorithm trading market research report provides an extensive understanding of the algorithm trading market based on the information and forecasts till 2024.Regional OverviewNorth America, Europe, Asia Pacific and the rest of the world regional market for algorithm trading are predominantly covered in the global algorithm trading market research report.
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The Anatomy of the cryptocurrency market: The exceptions are always there; still, some features or factors (above basics) which makes the cryptocurrency so demanding in the CFD market are:Some Basic Keyword of the Cryptocurrency Market1) Adaptive Scaling: Adaptive scaling indicates that virtual currencies are made with standards to ensure that they operate satisfactorily in different types of scales (including both small and large scales).Example of adaptive scaling: The famous Bitcoin is programmed such that it allows mining of bitcoin consecutively in approximately every ten minutes.
Also, other methods are included in electronic coins to grant for adaptive scaling such as restricting the supply over a period (for creating scarcity) and declining the reward given on mining (because more coins are mined)2) Cryptographic: The cryptocurrencies make use of the technique known as cryptography to manage the production of digital coins and to validate transactions.3) Decentralised: A centralised authority (mainly government) controls the currencies being circulated in the market; thus, their production and creation can be in control of the third party.
However, the transaction and creation of cryptocurrency are open sources, guided by computer code, and depends on peer-to-peer networks.
No single entity can affect or control the currency fully.4) Digital: A Physical object (for example, USD in earlier times was backed by gold and existing by paper money) defines the conventional form of currency.
No physical entity or object exists in it.5) Open Sources: The cryptocurrency market is an open-source market.
It means that the developer can make APIs without spending money on fees, and anyone can join or use the network.6) Proof-of-work: Most cryptocurrency markets use a system known as a proof-of-work system.
