Algorithm Trading Market Eyeing Admirable Growth due to Rising Adoption of Cloud-Based Solutions

Market Analysis

The global algorithm trading market will touch USD 38.25 billion at a 12.35% CAGR by 2030, as per the recent Market Research Future report.

Drivers

Emergence of AI in Financial Services to Boost Market Growth

The emergence of AI in financial services will boost market growth over the forecast period. Several financial services organizations are increasing their AI and ML adoption of capitalizing on the information from the digitally driven channels. It has further resulted in the growing trend of the data-driven investment in the past few years. AI-driven trading systems efficiently analyse data in ample amounts much faster compared to people would do this.

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Key Companies in the Algorithm Trading Market Include

Eminent market players in the algorithm trading market report include,

• Thomson Reuters (US)
• 63 moons (India)
• InfoReach (US)
• Argo SE (US)
• MetaQuotes Software (Cyprus)
• Automated Trading SoftTech (India)
• Tethys (US)
• Trading Technologies (US)
• uTrade (India)
• Tata Consulting Services (India)
• Vela (US)
• Virtu Financial (US)
• Symphony Fintech (India)
• Kuberre Systems (US)
• iRageCapital (India)
• Software AG (Germany)
• QuantCore Capital Management (China)
• ALGOTRADES – Automated Algorithmic Trading System (US).

Opportunities

Rising Adoption of Cloud-Based Solutions to offer Robust Opportunities

The rising adoption of cloud-based services, solutions, & cloud computing for the algorithmic trading will offer robust opportunities for the algorithm trading market over the forecast period. Traders utilize the cloud services for trading strategies, back-testing, & run-time series analysis with the executing trade. The traders select cloud computing because this is capital intensive for building a person’s own data center for services like trading networks, data management, backup and recovery, and data storage.

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Restraints and Challenges

Lack of Consistency to act as Market Restraint

The lack of consistency, the lack of accuracy in algorithms, and lack of risk valuation capacities may act as market restraints over the forecast period.

Market Segmentation

The global algorithm trading market is bifurcated based on deployment, organization size, trading type, and component.

By component, professional services will lead the market over the forecast period.

By trading type, stock markets will domineer the market over the forecast period.

By organization size, large enterprise will spearhead the market over the forecast period.

By deployment, large enterprise will spur the market over the forecast period.

COVID-19 Analysis

The COVID-19 epidemic possessed a positive effect on the algorithm trading market. The outbreak propelled the growth considerably for the rising shift towards algorithmic trading for making decisions in a rapid pace via cutting human errors. Besides, various industry players have introduced innovative algorithm trading services at the time of the epidemic for serving increased trading volumes better.

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Regional Analysis

North America to Head Algorithm Trading Market

North America will head the algorithm trading market over the forecast period for the accessibility of higher technical expertise in Canada and the US coupled with the early use of ML and AI along with its integration with algorithm trading. The accessibility of high technical expertise both in Canada and the US, increasing investments in blockchain, the increasing presence of algorithmic trading suppliers, & the expanding government backing especially for international trading are further fuelling market growth.

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Tags: Algorithmic Trading Market Share, Algorithmic Trading Market Size, Algorithm Trading Market, algorithm trading market making, algo trading marketplace, algorithmic trading market manipulation See Campaign: https://www.marketresearchfuture.com/reports/algorithm-trading-market-8016

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