Press release
AI in Finance Market Hits New High | Major Giants JPMorgan, Visa, Mastercard, PayPal, Ant Group
Major companies profiled in AI in Finance Market are: JPMorgan, Visa, Mastercard, PayPal, Ant Group, IBM, Google, Microsoft, Oracle, SAP, Salesforce, FIS, Fiserv, Experian, Moody's, Stripe, Square, Upstart, Zest AI, Kensho.
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HTF Market Intelligence projects that the global AI in Finance market will expand at a compound annual growth rate (CAGR) of 17.9% from 2024 to 2033, from USD 18.4 Billion in 2024 to USD 65.2 Billion by 2033.
The following Key Segments Are Covered in Our Report
By Type
Fraud Detection, Robo-Advisors, Algorithmic Trading, Chatbots, Credit Scoring
By Application
Risk Management, Wealth Management, Customer Service, Payments, Compliance
Definition: AI in finance involves the application of machine learning, natural language processing, and predictive analytics to improve financial services. It enhances fraud detection, automates customer support, enables algorithmic trading, improves credit scoring, and personalizes banking services. With the rapid digitalization of banking and payments, AI has become essential for managing risk and improving operational efficiency. Financial institutions use AI for regulatory compliance, anti-money laundering, and real-time transaction monitoring. While concerns over data security and algorithmic bias remain, advancements in explainable AI and blockchain integration are strengthening adoption. AI is now a cornerstone technology reshaping banking, insurance, investments, and payment ecosystems worldwide.
Market Trends:
• Open banking AI, Biometric security, Explainable AI, Embedded finance, AI-driven trading
Market Drivers:
• Rising digital payments, Cyber fraud, Big data usage, Regulatory pressure, Cost efficiency
Market Challenges:
• Regulatory risks, Data privacy, AI bias, Legacy systems, Cyber threats
Dominating Region:
North America
Fastest-Growing Region:
Asia-Pacific
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The titled segments and sub-section of the market are illuminated below:
In-depth analysis of AI in Finance market segments by Types: Fraud Detection, Robo-Advisors, Algorithmic Trading, Chatbots, Credit Scoring
Detailed analysis of AI in Finance market segments by Applications: Risk Management, Wealth Management, Customer Service, Payments, Compliance
Geographically, the detailed analysis of consumption, revenue, market share, and growth rate of the following regions:
• The Middle East and Africa (South Africa, Saudi Arabia, UAE, Israel, Egypt, etc.)
• North America (United States, Mexico & Canada)
• South America (Brazil, Venezuela, Argentina, Ecuador, Peru, Colombia, etc.)
• Europe (Turkey, Spain, Turkey, Netherlands Denmark, Belgium, Switzerland, Germany, Russia UK, Italy, France, etc.)
• Asia-Pacific (Taiwan, Hong Kong, Singapore, Vietnam, China, Malaysia, Japan, Philippines, Korea, Thailand, India, Indonesia, and Australia).
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AI in Finance Market Research Objectives:
- Focuses on the key manufacturers, to define, pronounce and examine the value, sales volume, market share, market competition landscape, SWOT analysis, and development plans in the next few years.
- To share comprehensive information about the key factors influencing the growth of the market (opportunities, drivers, growth potential, industry-specific challenges and risks).
- To analyze the with respect to individual future prospects, growth trends and their involvement to the total market.
- To analyze reasonable developments such as agreements, expansions new product launches, and acquisitions in the market.
- To deliberately profile the key players and systematically examine their growth strategies.
FIVE FORCES & PESTLE ANALYSIS:
In order to better understand market conditions five forces analysis is conducted that includes the Bargaining power of buyers, Bargaining power of suppliers, Threat of new entrants, Threat of substitutes, and Threat of rivalry.
• Political (Political policy and stability as well as trade, fiscal, and taxation policies)
• Economical (Interest rates, employment or unemployment rates, raw material costs, and foreign exchange rates)
• Social (Changing family demographics, education levels, cultural trends, attitude changes, and changes in lifestyles)
• Technological (Changes in digital or mobile technology, automation, research, and development)
• Legal (Employment legislation, consumer law, health, and safety, international as well as trade regulation and restrictions)
• Environmental (Climate, recycling procedures, carbon footprint, waste disposal, and sustainability)
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Points Covered in Table of Content of Global AI in Finance Market:
Chapter 01 - AI in Finance Executive Summary
Chapter 02 - Market Overview
Chapter 03 - Key Success Factors
Chapter 04 - Global AI in Finance Market - Pricing Analysis
Chapter 05 - Global AI in Finance Market Background or History
Chapter 06 - Global AI in Finance Market Segmentation (e.g. Type, Application)
Chapter 07 - Key and Emerging Countries Analysis Worldwide AI in Finance Market
Chapter 08 - Global AI in Finance Market Structure & worth Analysis
Chapter 09 - Global AI in Finance Market Competitive Analysis & Challenges
Chapter 10 - Assumptions and Acronyms
Chapter 11 - AI in Finance Market Research Methodology
Thanks for reading this article; you can also get individual chapter-wise sections or region-wise report versions like North America, LATAM, Europe, Japan, Australia or Southeast Asia.
Contact Us:
Nidhi Bhavsar (PR & Marketing Manager)
HTF Market Intelligence Consulting Private Limited
Phone: +15075562445
sales@htfmarketreport.com
About Author:
HTF Market Intelligence Consulting is uniquely positioned to empower and inspire with research and consulting services to empower businesses with growth strategies, by offering services with extraordinary depth and breadth of thought leadership, research, tools, events, and experience that assist in decision-making.
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