Leading Growth Driver in the Generative Artificial Intelligence (AI) In Finance Market in 2025: Rising Demand For Personalized Financial Services Driving Growth In Generative AI In Finance Driver's Influence

"What Are the Market Size and Growth Forecast for the Generative Artificial Intelligence (AI) In Finance Market?
The market for generative artificial intelligence (AI) in finance has seen rapid expansion in the last few years. Expected to increase from $2.05 billion in 2024 to $2.83 billion in 2025, the compound annual growth rate (CAGR) is predicted to be 38.3%. Factors contributing to growth in the earlier years include the digitalization of services, demand for more tailored customer responses, increased importance of security and trust in financial services, issues related to data privacy and security, and observance of regulatory compliance and governance.

In the coming years, the market size for generative AI in the finance sector is projected to experience significant growth, set to expand to $10.29 billion by 2029 with a compound annual growth rate (CAGR) of 38.1%. A number of factors could contribute to the growth during this predicted period, such as increased productivity, the usage of generative AI for detecting and preventing fraud, the automated handling of intricate financial tasks via sophisticated generative AI, the improvement of customer experience within the financial sector, and the enhancement of operational efficiency while cutting costs. Some major trends to look out for during the prognosticated period would include the development of inventive solutions, data analysis and reporting, chatbots powered by AI, the incorporation of machine learning (ML), and breakthroughs in AI tools.

What Is Contributing to the Growth of the Generative Artificial Intelligence (AI) In Finance Market?
The expansion of generative artificial intelligence (AI) in the finance sector is anticipated to be propelled by the escalating demand for personalized financial services. This term refers to distinctive financial solutions and advice that have been specifically modified to align with the unique requirements, preferences, and situations of individual clients. The rising need for personalized financial services is a consequence of customer expectations, a longing for superior financial control, and improved risk management. Generative AI merges data from a range of sources, including social media, transaction histories, and financial accounts, to provide a more thorough and individualized perspective of a client's monetary situation. For example, a survey conducted by MX Technologies among 150 finance industry leaders and decision-makers from the U.S. and Canada in May 2024, reported that an overwhelming majority (81%) of data strategy leaders deem it crucial to personalize experiences based on consumer financial data for the future. Moreover, 45% of consumers believed that their encounters with finance-related mobile apps were modified specifically for them. Additionally, 36% of consumers are willing to securely share their financial information from all of their accounts in order to obtain personalized advice and insights in one unified place. Thus, the increasing demand for personalized financial services is stimulating the growth of generative AI in the finance market.

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Which Key Market Leaders Are Driving Generative Artificial Intelligence (AI) In Finance Industry Growth?
Major companies operating in the generative artificial intelligence (AI) in finance market are Alphabet Inc., International Business Machines Corporation, The Allstate Corporation, The Goldman Sachs Group Inc., Mastercard Incorporated, Intuit Inc., S&P Global Inc., Plaid Inc., SAS Institute Inc., Klarna Inc., Qlik Technologies Inc., C3.ai Inc., AlphaSense Inc., Marqeta Inc., Upstart Holdings Inc., Hugging Face Inc., ZestFinance Inc., TrueLayer Limited, Featurespace Limited, Numerai Inc.

How Is the Generative Artificial Intelligence (AI) In Finance Market Evolving?
Key players in the generative artificial intelligence (AI) sector for finance are focusing on the innovation of solutions such as responsible generative AI. These are aimed at equipping banks with the ability to boost efficiency and earnings while also promoting ethical AI usage. Responsible generative AI solutions are crafted to safely and ethically implement AI technologies, specifically in areas with high stakes. For example, Temenos AG, a software firm based in Switzerland, released the first Responsible Generative AI solutions specifically created for the core banking and finance industry in May 2024. These generative AI features can be applied in customer operations and product design, permitting banks to fabricate real-time products influenced by customer preferences. Temenos' Generative AI allows users to conduct natural language inquiries to rapidly produce distinctive insights and reports, thus accelerating the availability of crucial data for business decision-makers. For instance, it offers immediate and comprehensible answers about the most lucrative customers based on their category and demographics.

What Are the Main Segments in the Generative Artificial Intelligence (AI) In Finance Market?
The generative artificial intelligence (AI) in finance market covered in this report is segmented -

1) By Technology: Deep Learning Technology; Natural Language Processing Technology; Computer Vision Technology; Reinforcement Learning Technology; Other Technologies
2) By Deployment Model: Cloud Deployment; On-Premises Deployment; Hybrid Deployment
3) By Application: Risk Management; Fraud Detection; Investment Research; Trading Algorithms; Other Applications

Subsegments:
1) By Deep Learning Technology: Fraud Detection And Prevention; Algorithmic Trading; Credit Scoring And Risk Assessment; Predictive Analytics For Investment
2) By Natural Language Processing (NLP) Technology: Sentiment Analysis For Financial Markets; Chatbots And Virtual Assistants; Document And Contract Analysis; Speech Recognition For Customer Service
3) By Computer Vision Technology: Image-Based Fraud Detection; Visual Data Extraction From Documents; Video Analytics For Security And Surveillance; Automated Financial Document Processing
4) By Reinforcement Learning Technology: Portfolio Management And Optimization; Trading Strategy Development; Risk Management In Trading; Personalized Financial Advisory Services
5) By Other Technologies: Hybrid AI Models (Combination Of Multiple AI Techniques); AI For Blockchain And Cryptocurrency Analysis; AI-Based Financial Data Analytics Platforms

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Which Geographic Area Leads the Generative Artificial Intelligence (AI) In Finance Market?
North America was the largest region in the generative artificial intelligence (AI) in finance market in 2024. Asia-Pacific is expected to be the fastest growing region in the market going forward. The regions covered in the generative artificial intelligence (AI) in finance market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

What Is Covered In The Generative Artificial Intelligence (AI) In Finance Global Market Report?

- Market Size Analysis: Analyze the generative artificial intelligence (ai) in finance Market size by key regions, countries, product types, and applications.
- Market Segmentation Analysis: Identify various subsegments within the generative artificial intelligence (ai) in finance Market for effective categorization.
- Key Player Focus: Focus on key players to define their market value, share, and competitive landscape.
- Growth Trends Analysis: Examine individual growth trends and prospects in the market.
- Market Contribution: Evaluate contributions of different segments to the overall generative artificial intelligence (ai) in finance market growth.
- Growth Drivers: Detail key factors influencing market growth, including opportunities and drivers.
- Industry Challenges: Analyze challenges and risks affecting the generative artificial intelligence (ai) in finance market.
- Competitive Developments: Analyze competitive developments, such as expansions, agreements, and new product launches in the market.

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