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What Is the Forecast for the Artificial Intelligence (AI) In Trading Market Growth in 2025?

The market size for artificial intelligence (AI) in trading has seen a rapid escalation in the past few years. The market, which is projected to be worth $21.59 billion in 2024, will see a growth to $24.53 billion in 2025, marking a compound annual growth rate (CAGR) of 13.6%. This growth in the historical period is due to a surge in demand for custom-tailored trading solutions, the swift integration of generative AI in diverse business roles, increased incorporation of the cloud, the need for real-time processing, and the escalating volume of financial data.

What Is the Forecast for the Artificial Intelligence (AI) In Trading Market Size Through 2029?

In the coming years, the market size of artificial intelligence (AI) in trading is set to experience swift expansion, reaching a valuation of $40.47 billion by 2029 with a compound annual growth rate (CAGR) of 13.3%. This growth during the projected period can be credited to factors such as the rising acceptance of algorithmic trading, increased demand for advanced trading strategies, focused efforts on crafting regulatory frameworks, the growth of AI in cybersecurity, and the surge in demand for automated, data-driven trading solutions. In this forecast period, the market will be shaped by trends such as the advancement in AI technologies, the merging of machine learning with AI within algorithmic trading systems, the emergence of innovations in neural networks, progress in natural language processing (NLP), and technological breakthroughs.

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What are the Key Market Players in Artificial Intelligence (AI) In Trading Market and How They’re Evolving?

Major companies operating in the artificial intelligence (AI) in trading market are Citigroup Inc., IBM Corporation, Fidelity Investments, NVIDIA Corporation, Sentient Technologies, Addepar Inc., DataRobot Inc., AlphaSense Inc., VoxSmart Limited, Kensho Technologies, Sentieo Inc., Trade Ideas LLC, Numerai, Imperative Execution Inc., Kavout Corporation, Rebellion Research, EidoSearch Inc., Hudson Labs, EquBot Inc., Tickeron Inc., TrendSpider Inc.

What Are the Primary Growth Drivers in the Artificial Intelligence (AI) In Trading Market?

The escalation in cloud integration is projected to boost the advancement of the AI in trading market in the future. Cloud integration is essentially about configuring various cloud-based systems and services to operate cohesively, facilitating fluid data exchange and synchronized management across different platforms. The surge in cloud integration is attributed to several factors including improved efficiency and automation, heightened data accessibility, cost reduction, and immediate insights. AI in trading amplifies cloud integration by providing on-the-spot data analysis and predictive analytics, resulting in enhanced decision-making and productivity. For example, as per the Statistical Office of the European Communities, a Europe-based agency, in 2023, 42.5% of businesses in the EU bought cloud computing services primarily for email, file storage, and office software. This signifies a 4.2 percentage point escalation compared to the proportion of businesses that procured cloud computing services in 2021. Consequently, the amplified cloud integration has stimulated the expansion of AI in the trading market.

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What Are the Leading Segments in the Global Artificial Intelligence (AI) In Trading Industry?

The artificial intelligence (AI) in trading market covered in this report is segmented –

1) By Type: Software, Services

2) By Deployment Mode: Cloud-Based, On-Premise

3) By Application: Automotive, Information Technology (IT) And Telecommunication, Transportation And Logistics, Energy And Utilities, Healthcare, Retail, Manufacturing, Other Applications

Subsegments:

1) By Software: AI-Driven Trading Platforms, Algorithmic Trading Software, Predictive Analytics Tools For Market Forecasting, Sentiment Analysis Tools, Risk Management And Assessment Software, Portfolio Management Software With AI Capabilities, Market Surveillance And Compliance Tools

2) By Services: AI Consulting And Strategy Development For Trading, AI System Integration And Implementation Services, Custom Algorithm Development Services, Training And Education Services For AI In Trading, Performance Monitoring And Optimization Services, Managed AI Services For Trading Operations, Data Analytics Services For Trading Insights

Which Industry Trends Are Shaping the Future of the Artificial Intelligence (AI) In Trading Market?

Major firms in the AI in trading market are providing innovative technology such as AI-powered analytic platforms. These platforms aim to improve trading strategies, fine-tune investment choices, and offer real-time market analysis. They are designed to allow traders wider access to advanced trading tools that were originally targeted towards institutional investors. For example, TradeWire, a fintech startup based in UAE, introduced TradeAI to the market in December 2023. This AI-driven analytical platform for traders leverages advanced AI to analyze broad financial data and generate useful insights, surpassing basic analytics. It incorporates interactive instruments for successful strategy implementation including comprehensive financial report scrutiny, a modifiable economic itinerary, smart screeners, lively infographics, robust big data investigations, tailored news, notifications, and custom automation for indicators and strategies.

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What Is the Regional Outlook for the Artificial Intelligence (AI) In Trading Market?

North America was the largest region in the artificial intelligence (AI) in trading market in 2024. The regions covered in the artificial intelligence (AI) in trading market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

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This Report Delivers Insight On:

1. How big is the artificial intelligence (ai) in trading market, and how is it changing globally?

2. Who are the major companies in the artificial intelligence (ai) in trading market, and how are they performing?

3. What are the key opportunities and risks in the artificial intelligence (ai) in trading market right now?

4. Which products or customer segments are growing the most in the artificial intelligence (ai) in trading market?

5. What factors are helping or slowing down the growth of the artificial intelligence (ai) in trading market?

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