Global AI and Advance Machine Learning in BFSI Market Report (2021 to 2030) – GlobeNewswire

Dublin, Dec. 29, 2021 (GLOBE NEWSWIRE) -- The "AI and Advance Machine Learning in BFSI Market By Component, Deployment Model, Enterprise Size and Application: Global Opportunity Analysis and Industry Forecast, 2021-2030" report has been added to ResearchAndMarkets.com's offering.

Artificial intelligence (AI) in finance is transforming the BFSI industry, as AI is helping the financial industry to streamline and optimize processes ranging from credit decisions to quantitative trading and financial risk management. In addition, advanced machine learning technology is being used to help organizations to improve customer experience and to enhance their market share.

Furthermore, it provides various solutions to the baking sector to replace routine manual work with automation and to increase productivity. In addition, AI and advanced machine learning help in reducing credit default frauds by monitoring transactions to detect suspicious transactions with compliance concerns.

Improvement in data collection technology among the banks and financial institutions positively impacts the growth of the market. In addition, an increase in investment by BFSI companies in AI and machine learning and a rise in customer preferences for personalized financial services boost the growth of the market across the globe.

However, factors such as the higher deployment cost of AI and advance machine learning and lack of skilled labor are limiting the growth of the market. On the contrary, the surge in the adoption of modern applications in the BFSI sector is expected to offer remunerative opportunities for the expansion of the market during the forecast period.

The global AI and advance machine learning in BFSI market is segmented into component, deployment model, enterprise size, application and region. Depending on the component, the market is segregated into solutions and services.

On the basis of deployment model, it is categorized into on-premise and cloud. Depending on enterprise size, it is fragmented into large enterprises and SMEs.

Based on application, the market is divided into fraud & risk management, customer segmentation, sales & marketing, digital assistance and others. Region wise, the market is studied across North America, Europe, Asia-Pacific, and LAMEA.

The key players profiled in the AI and advance machine learning in BFSI market analysis are:

These players have adopted various strategies to increase their market penetration and strengthen their position in the industry.

Key Market Segments

By Component

By Deployment Model

By Enterprise Size

By Application

By Region

Key Topics Covered:

CHAPTER 1: INTRODUCTION1.1. Report description1.2. Key benefits for stakeholders1.3. Key market segments1.4. Research methodology

CHAPTER 2: EXECUTIVE SUMMARY2.1. Key findings2.2. CXO perspective

CHAPTER 3: MARKET OVERVIEW3.1. Market definition and scope3.2. Key forces shaping global artificial intelligence and advanced machine learning in BFSI market3.3. Case studies3.3.1. CargoSmart adopted Tibco advance analytics solution for improving its decision-making capability by using real-time analysis3.3.2. Honeywell International Inc. adopted data and business analytics platform of Expedien Inc. to increase productivity, lower risk costs, accelerate growth, and lower risk of organizations3.4. Market dynamics3.4.1. Drivers3.4.1.1. Increase in investment by BFSI companies in AI and machine learning3.4.1.2. Increasing preferences for personalized financial services3.4.1.3. Increase in collaboration between financial institutes and AI & machine learning solution company3.4.2. Restraint3.4.2.1. Higher deployment cost of AI and advanced machine learning3.4.2.2. Lack of skilled labor3.4.3. Opportunity3.4.3.1. Increase in government initiatives and growth in investments to leverage AI technology3.5. Market evolution/industry roadmap3.6. Impact of government regulations on the global artificial intelligence and advanced machine learning in BFSI market3.7. COVID-19 impact analysis on AI and Advanced Machine Learning in BFSI market3.7.1. Impact on market size3.7.2. Consumer trends, preferences, and budget impact3.7.3. Economic impact3.7.4. Strategies to tackle the negative impact3.7.5. Opportunity window3.8. Key future initiatives3.8.1. Product launches

CHAPTER 4: GLOBAL ARTIFICIAL INTELLIGENCE & ADVANCE MACHINE LEARNING IN BFSI MARKET, BY COMPONENT4.1. Overview4.2. Solution4.3. Service

CHAPTER 5: GLOBAL ARTIFICIAL INTELLIGENCE & ADVANCE MACHINE LEARNING IN BFSI MARKET, BY DEPLOYMENT MODEL5.1. Overview5.2. On-premise5.3. Cloud-based

CHAPTER 6: GLOBAL ARTIFICIAL INTELLIGENCE & ADVANCE MACHINE LEARNING IN BFSI MARKET, BY ENTERPRISE SIZE6.1. Overview6.2. Large enterprise6.3. SMEs

CHAPTER 7: GLOBAL ARTIFICIAL INTELLIGENCE & ADVANCE MACHINE LEARNING IN BFSI MARKET, BY APPLICATION7.1. Overview7.2. Fraud & Risk Management7.3. Customer Segmentation7.4. Sales & Marketing7.5. Digital Assistance7.6. Others

CHAPTER 8: GOBAL ARTIFICIAL INTELLIGENCE & ADVANCE MACHINE LEARNING IN BFSI MARKET, BY REGION8.1. Overview8.2. North America8.3. Europe8.4. Asia-Pacific8.5. LAMEA

CHAPTER 9: COMPETITIVE LANDSCAPE9.1. Key players positioning analysis, 20209.2. Competitive dashboard9.3. Top winning strategies

CHAPTER 10: COMPANY PROFILE10.1. Amazon Web Services, Inc.10.2. BigML, Inc.10.3. Cisco System Inc.10.4. FAIR ISAAC CORPORATION10.5. HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP10.6. INTERNATIONAL BUSINESS MACHINES CORPORATION10.8. MICROSOFT CORPORATION10.9. RapidMiner, Inc.10.10. SAP SE10.11. SAS INSTITUTE INC.

For more information about this report visit https://www.researchandmarkets.com/r/nzvud5

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Global AI and Advance Machine Learning in BFSI Market Report (2021 to 2030) - GlobeNewswire