Algorithmic Trading Market Report 2021: Global Industry Trends, market challenges, Share, Size, Growth, Opportunity and Forecast Till 2026 with COVID-19 Impact | Tower Research Capital, Virtu Financial, Tradebot Systems

Global “Algorithmic Trading Market” research report provides an in-depth analysis of the industry to study the key influencers and barriers to entry in the industry. It provides a snapshot of the key factors driving and influencing the growth of the Global Algorithmic Trading market, including snapshots of key competition, market trends with forecast for the next few years (2021-2026), growth rate, and global Algorithmic Trading market. This report likewise takes into account the global Algorithmic Trading market share, competitive scene, market share, size, development rate, future patterns and market drivers. The study elucidates the basic trends and impact of various factors driving the market along with their impact on the evolution of the Algorithmic Trading market.

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International key players need to tap into potential addressable market in emerging economies :

Tower Research Capital
Virtu Financial
Tradebot Systems
Teza Technologies
Optiver
IMC
Quantlab Financial
Spot Trading
Hudson River Trading
Sun Trading
RSJ Algorithmic Trading
DRW Trading
Jump Trading
Flow Traders

Product Type Segmentation Includes :
On-Premise
Cloud-Based

Application Segmentation Includes :
Investment Banks
Funds
Personal Investors
Others

Table of Contents

1. Report Overview
2. Global Growth Trends by Regions
3. Competition Landscape by Key Players
4. Breakdown Data by Type (2021-2026)
5. Algorithmic Trading Market Breakdown Data by Application (2021-2026)
6. Key Players Profiles
7. Analyst's Viewpoints/Conclusions

Algorithmic trading, or automated trading, is a form of automation that uses a computer program to execute a defined set of instructions or rules involving the buying and selling of an asset in relation to various market data. A defined set of guidelines or rules is based on timing, quantity, price, or any mathematical model. It offers several advantages to market participants, such as executing trades at the best possible price. Simultaneous automatic check of multiple market conditions Accurate and instantaneous trades. Reduced transaction costs due to lack of human intervention.On the basis of component, the Solutions segment had the highest growth in algorithm trading market share in 2020 and is expected to maintain its dominance in the coming years.

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The demand for algorithmic trading solutions is driven primarily by benefits such as reduced transaction costs due to lack of human intervention and immediate and accurate placement of trading orders. In addition, market participants are introducing advanced algorithmic trading solutions to meet the diverse needs of their clients. For example, in September 2019 BNP Paribas introduced an upgraded FX trading platform with real-time analytics and interactive algorithms. However, the services sector is expected to witness the highest growth due to widespread adoption of professional services among end users as it ensures the effective functioning of algorithmic trading solutions throughout the process.

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Reasons to Purchase Global Algorithmic Trading Market Report:
1. The report presents categorized and summarized data based on types, regions, companies, and applications of the product
2. Detailed Overview of Algorithmic Trading market size will help deliver clients and businesses making strategies.
3. The report presents a competitive market scenario among major players of the industry, a proper understanding of the growth opportunities, and the important strategies of top players in the global keyword market.
4. Gives analysis of various perspectives of the market with the help of Porter’s five forces analysis
5. This report also provides data on the developments made by important players and stakeholders in the market, along with a competitive analysis.

Some of the key questions answered in this report:

• What is the global (North America, Europe, Asia-Pacific, South America, Middle East and Africa) sales value, production value, consumption value, import and export of Algorithmic Trading?
• Who are the global key manufacturers of the Algorithmic Trading Industry? How is their operating situation (capacity, production, sales, price, cost, gross, and revenue)?
• What are the Algorithmic Trading market opportunities and threats faced by the vendors in the global Algorithmic Trading Industry?
• Which application/end-user or product type may seek incremental growth prospects? What is the market share of each type and application?
• What focused approach and constraints are holding the Algorithmic Trading market?
• What are the different sales, marketing, and distribution channels in the global industry?
• What are the upstream raw materials and manufacturing equipment of Algorithmic Trading along with the manufacturing process of Algorithmic Trading?
• What are the key market trends impacting the growth of the Algorithmic Trading market?
• Economic impact on the Algorithmic Trading industry and development trend of the Algorithmic Trading industry.
• What are the market opportunities, market risk, and market overview of the Algorithmic Trading market?
• What are the key drivers, restraints, opportunities, and challenges of the Algorithmic Trading market, and how they are expected to impact the market?
• What is the Algorithmic Trading market size at the regional and country-level?

The global algorithmic trading market share was dominated by the cloud sector in 2020, and is expected to maintain its dominance in the coming years due to the increasing adoption of cloud-based applications by financial institutions to improve productivity and efficiency. In addition, cloud-based algorithmic trading solutions are gaining popularity among traders because they ensure effective automation of process and data maintenance along with cost-friendly management. This factor further propels the growth of the segment during the forecast period.

North America dominates the algorithmic trading market due to several factors including heavy investment in trading technology and increased government support for global trading. In addition, there is an extensive presence of algorithmic trading vendors in the region, which promotes the growth of the market. However, the Asia Pacific region is expected to witness the highest growth rate during the forecast period owing to significant investments from the public and private sectors to improve trading skills, driving the demand for algorithmic trading solutions that automate trading processes.

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