Europe Generative AI in BFSI Market Size, Share & Trends Analysis Report By End-User (Banks, Insurance Companies, and Financial Service Providers), By Application), By Country and Growth Forecast, 2024 - 2031

Europe Generative AI in BFSI Market Size, Share & Trends Analysis Report By End-User (Banks, Insurance Companies, and Financial Service Providers), By Application), By Country and Growth Forecast, 2024 - 2031


The Europe Generative AI in BFSI Market would witness market growth of 32.4% CAGR during the forecast period (2024-2031).

The Germany market dominated the Europe Generative AI in BFSI Market by Country in 2023, and would continue to be a dominant market till 2031; thereby, achieving a market value of $554.7 Million by 2031. The UK market is expected to witness a CAGR of 31.3% during (2024 - 2031). Additionally, The France market would register a CAGR of 33.8% during (2024 - 2031).

The consumer experience is one of the most apparent effects of generative AI in BFSI. Customers' expectations for financial services have also evolved as they become accustomed to rapid, on-demand services in other industries. Generative AI helps banks, insurers, and financial firms meet these demands by powering intelligent virtual assistants, personalized product recommendations, and chatbots that deliver real-time, conversational support.

For example, through generative AI, financial firms can create highly personalized customer interactions, tailoring recommendations and advice to individual preferences and past behaviors. This level of personalization not only enhances the customer experience but also deepens engagement, as customers feel that their financial needs are being met in a uniquely tailored manner. Studies indicate that companies using AI to personalize customer interactions report higher satisfaction rates and stronger customer loyalty. With AI handling routine inquiries and providing personalized advice, human staff can focus on more complex client needs, thus improving service efficiency and customer trust.

Austria's financial sector increasingly integrates generative AI technologies to enhance operational efficiency and customer service. A notable example is Raiffeisen Bank International (RBI), which has implemented AI-driven chatbots to provide personalized customer support, streamline interactions, and improve user experience. Austria’s banking sector also showed resilience, with a 10% year-on-year rise in aggregated operating profit in 2021, paired with a significant 60% decrease in risk provisioning. Total profits rose to €6.1 billion, signaling a strong post-pandemic recovery. The Austrian government's support for digital innovation, including initiatives like the "Artificial Intelligence Mission Austria 2030," further encourages the adoption of AI in financial services, fostering a conducive environment for technological advancement in the sector. Hence, the region will present lucrative opportunities for market growth.

Based on End-User, the market is segmented into Banks, Insurance Companies, and Financial Service Providers. Based on Application, the market is segmented into Fraud Detection, Risk Assessment, Customer Experience, Algorithmic Trading, and Other Application. Based on countries, the market is segmented into Germany, UK, France, Russia, Spain, Italy, and Rest of Europe.

List of Key Companies Profiled
  • Accenture PLC
  • SAS Institute Inc.
  • Google LLC
  • Salesforce, Inc.
  • Microsoft Corporation
  • Adobe, Inc.
  • OpenAI, LLC
  • IBM Corporation
  • NVIDIA Corporation
  • Intel Corporation
Europe Generative AI in BFSI Market Report Segmentation

By End-User
  • Banks
  • Insurance Companies
  • Financial Service Providers
By Application
  • Fraud Detection
  • Risk Assessment
  • Customer Experience
  • Algorithmic Trading
  • Other Application
By Country
  • Germany
  • UK
  • France
  • Russia
  • Spain
  • Italy
  • Rest of Europe


Chapter 1. Market Scope & Methodology
1.1 Market Definition
1.2 Objectives
1.3 Market Scope
1.4 Segmentation
1.4.1 Europe Generative AI in BFSI Market, by End-User
1.4.2 Europe Generative AI in BFSI Market, by Application
1.4.3 Europe Generative AI in BFSI Market, by Country
1.5 Methodology for the research
Chapter 2. Market at a Glance
2.1 Key Highlights
Chapter 3. Market Overview
3.1 Introduction
3.1.1 Overview
3.1.1.1 Market Composition and Scenario
3.2 Key Factors Impacting the Market
3.2.1 Market Drivers
3.2.2 Market Restraints
3.2.3 Market Opportunities
3.2.4 Market Challenges
Chapter 4. Competition Analysis – Global
4.1 Market Share Analysis, 2023
4.2 Strategies Deployed in Generative AI in BFSI Market
4.3 Porter Five Forces Analysis
Chapter 5. Europe Generative AI in BFSI Market by End-User
5.1 Europe Banks Market by Country
5.2 Europe Insurance Companies Market by Country
5.3 Europe Financial Service Providers Market by Country
Chapter 6. Europe Generative AI in BFSI Market by Application
6.1 Europe Fraud Detection Market by Country
6.2 Europe Risk Assessment Market by Country
6.3 Europe Customer Experience Market by Country
6.4 Europe Algorithmic Trading Market by Country
6.5 Europe Other Application Market by Country
Chapter 7. Europe Generative AI in BFSI Market by Country
7.1 Germany Generative AI in BFSI Market
7.1.1 Germany Generative AI in BFSI Market by End-User
7.1.2 Germany Generative AI in BFSI Market by Application
7.2 UK Generative AI in BFSI Market
7.2.1 UK Generative AI in BFSI Market by End-User
7.2.2 UK Generative AI in BFSI Market by Application
7.3 France Generative AI in BFSI Market
7.3.1 France Generative AI in BFSI Market by End-User
7.3.2 France Generative AI in BFSI Market by Application
7.4 Russia Generative AI in BFSI Market
7.4.1 Russia Generative AI in BFSI Market by End-User
7.4.2 Russia Generative AI in BFSI Market by Application
7.5 Spain Generative AI in BFSI Market
7.5.1 Spain Generative AI in BFSI Market by End-User
7.5.2 Spain Generative AI in BFSI Market by Application
7.6 Italy Generative AI in BFSI Market
7.6.1 Italy Generative AI in BFSI Market by End-User
7.6.2 Italy Generative AI in BFSI Market by Application
7.7 Rest of Europe Generative AI in BFSI Market
7.7.1 Rest of Europe Generative AI in BFSI Market by End-User
7.7.2 Rest of Europe Generative AI in BFSI Market by Application
Chapter 8. Company Profiles
8.1 Accenture PLC
8.1.1 Company Overview
8.1.2 Financial Analysis
8.1.3 Segmental Analysis
8.1.4 Research & Development Expenses
8.1.5 Recent strategies and developments:
8.1.5.1 Partnerships, Collaborations, and Agreements:
8.1.6 SWOT Analysis
8.2 SAS Institute, Inc.
8.2.1 Company Overview
8.2.2 SWOT Analysis
8.3 Google LLC (Alphabet Inc.)
8.3.1 Company Overview
8.3.2 Financial Analysis
8.3.3 Segmental and Regional Analysis
8.3.4 Research & Development Expense
8.3.5 Recent strategies and developments:
8.3.5.1 Partnerships, Collaborations, and Agreements:
8.3.6 SWOT Analysis
8.4 Salesforce, Inc.
8.4.1 Company Overview
8.4.2 Financial Analysis
8.4.3 Regional Analysis
8.4.4 Research & Development Expenses
8.4.5 SWOT Analysis
8.5 Microsoft Corporation
8.5.1 Company Overview
8.5.2 Financial Analysis
8.5.3 Segmental and Regional Analysis
8.5.4 Research & Development Expenses
8.5.5 Recent strategies and developments:
8.5.5.1 Product Launches and Product Expansions:
8.5.6 SWOT Analysis
8.6 Adobe, Inc.
8.6.1 Company Overview
8.6.2 Financial Analysis
8.6.3 Segmental and Regional Analysis
8.6.4 Research & Development Expense
8.6.5 SWOT Analysis
8.7 OpenAI, L.L.C.
8.7.1 Company Overview
8.7.2 SWOT Analysis
8.8 IBM Corporation
8.8.1 Company Overview
8.8.2 Financial Analysis
8.8.3 Regional & Segmental Analysis
8.8.4 Research & Development Expenses
8.8.5 SWOT Analysis
8.9 NVIDIA Corporation
8.9.1 Company Overview
8.9.2 Financial Analysis
8.9.3 Segmental and Regional Analysis
8.9.4 Research & Development Expenses
8.9.5 SWOT Analysis
8.10. Intel Corporation
8.10.1 Company Overview
8.10.2 Financial Analysis
8.10.3 Segmental and Regional Analysis
8.10.4 Research & Development Expenses
8.10.5 SWOT Analysis

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