The global demand for Banking Credit Analytics Market is presumed to reach the market size of nearly USD 3803.23 MN by 2030 from USD 998.19 MN in 2022 with a CAGR of 18.2% under the study period 2023 - 2030.
Banking credit analytics refers to the process of using data analytics, statistical models, and other advanced techniques to analyze and assess credit risk in the banking industry. It involves the evaluation of borrowers' creditworthiness, the likelihood of loan default, and the overall credit portfolio performance.
The rise in credit risk due to economic uncertainties and global events has led to a growing demand for advanced credit analytics to assess and manage potential risks effectively. Stricter regulatory requirements have also compelled banks to adopt these solutions to comply with Basel III and IFRS 9 regulations. The abundance of data from diverse sources offers opportunities for in-depth credit risk analysis and predictive modelling. Advancements in analytics technology, including data analytics, AI, and machine learning, have enabled more sophisticated credit risk assessments, leading to the adoption of credit analytics solutions. Additionally, the growth of digital lending platforms and the demand for personalized credit decisions have further driven its usage in the banking industry. Credit analytics streamlines credit risk assessment processes enhances efficiency, and leads to cost savings for banks. It enables banks to optimize credit portfolios, mitigate non-performing loan risks, and gain a competitive advantage through risk-based pricing strategies. As the importance of credit risk management continues to grow, the banking credit analytics market is expected to witness further growth and innovation, catering to the evolving needs of the banking sector.
The research report covers Porter’s Five Forces Model, Market Attractiveness Analysis, and Value Chain analysis. These tools help to get a clear picture of the industry’s structure and evaluate the competition attractiveness at a global level. Additionally, these tools also give an inclusive assessment of each segment in the global market of banking credit analytics. The growth and trends of banking credit analytics industry provide a holistic approach to this study.
This section of the banking credit analytics market report provides detailed data on the segments at country and regional level, thereby assisting the strategist in identifying the target demographics for the respective product or services with the upcoming opportunities.
By Component
By Deployment Mode
By Application
This section covers the regional outlook, which accentuates current and future demand for the Banking Credit Analytics market across North America, Europe, Asia-Pacific, Latin America, and Middle East & Africa. Further, the report focuses on demand, estimation, and forecast for individual application segments across all the prominent regions.
The research report also covers the comprehensive profiles of the key players in the market and an in-depth view of the competitive landscape worldwide. The major players in the Banking Credit Analytics market include ICRA limited, FIS, BNP Paribas, Wells Fargo, Citigroup, Fitch solutions, IBM CORPORATION, Moody's Analytics, Inc., S&P global, CRISIL Ltd. This section consists of a holistic view of the competitive landscape that includes various strategic developments such as key mergers & acquisitions, future capacities, partnerships, financial overviews, collaborations, new product developments, new product launches, and other developments.
1 . PREFACE
1.1. Report Description
1.1.1. Objective
1.1.2. Target Audience
1.1.3. Unique Selling Proposition (USP) & offerings
1.2. Research Scope
1.3. Research Methodology
1.3.1. Market Research Process
1.3.2. Market Research Methodology
2 . EXECUTIVE SUMMARY
2.1. Highlights of Market
2.2. Global Market Snapshot
3 . BANKING CREDIT ANALYTICS – INDUSTRY ANALYSIS
3.1. Introduction - Market Dynamics
3.2. Market Drivers
3.3. Market Restraints
3.4. Opportunities
3.5. Industry Trends
3.6. Porter’s Five Force Analysis
3.7. Market Attractiveness Analysis
3.7.1 Market Attractiveness Analysis By Component
3.7.2 Market Attractiveness Analysis By Deployment Mode
3.7.3 Market Attractiveness Analysis By Application
3.7.4 Market Attractiveness Analysis By Region
4 . VALUE CHAIN ANALYSIS
4.1. Value Chain Analysis
4.2. Raw Material Analysis
4.2.1. List of Raw Materials
4.2.2. Raw Material Manufactures List
4.2.3. Price Trend of Key Raw Materials
4.3. List of Potential Buyers
4.4. Marketing Channel
4.4.1. Direct Marketing
4.4.2. Indirect Marketing
4.4.3. Marketing Channel Development Trend
5 . GLOBAL BANKING CREDIT ANALYTICS MARKET ANALYSIS BY COMPONENT
5.1 Overview by Component
5.2 Historical and Forecast Data
5.3 Analysis by Component
5.4 Solution Historic and Forecast Sales by Regions
5.5 Service Historic and Forecast Sales by Regions
6 . GLOBAL BANKING CREDIT ANALYTICS MARKET ANALYSIS BY DEPLOYMENT MODE
6.1 Overview by Deployment Mode
6.2 Historical and Forecast Data
6.3 Analysis by Deployment Mode
6.4 On-premise Historic and Forecast Sales by Regions
6.5 Cloud Historic and Forecast Sales by Regions
7 . GLOBAL BANKING CREDIT ANALYTICS MARKET ANALYSIS BY APPLICATION