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Risk analytics benefit in handling risks by taking out guesswork from risk-related issues using technologies and several techniques. Increasing complexities in business processes and Increasing business process automation are encouraging the market for risk analytics. Furthermore, the fintech industry is continuously witnessing innovation, which makes it prone to related risks. Risk analytics mainly help organizations in knowing the existence of risk within many business functions. It simplifies organizations to correctly recognize, define and manage their risk. New expansions in the risk analytics are converting the market and enhancing its capability. A new development, real-time risk analytics, for instance, is an advanced version of conventional risk analytics methods. Real time risk analytics solution deals with processing, examining and calculating risk on a real time basis. There are many ways in which banks of all types of financial organizations are applying analytics to better alleviate and manage risk. Increasing business process automation and increasing complexities in business processes are encouraging the market for risk analytics.
Risk Analytics Market is projected to grow up to US$ 52.70 billion by 2028 growing at a CAGR of 14.8% during the forecasting period 2023-2028
Report Scope
The global market report scope consists of a comprehensive study covering primary factors impacting the industry trends. The study includes analysis of regional and country-level market dynamics. The scope also consists of competitive overview offering company market shares coupled with company profiles for key revenue contributing companies. The report scope covers a detailed competitive outlook covering market shares and profiles of key participants in the market share.
Major Market Players
The key players of the market are IBM, Oracle, SAP, SAS Institute, Moody’s Corporation, FIS, Verisk Analytics, Inc., AxiomSL, Inc., Gurucul, Provenir, Risk Edge Solutions, BRIDGEi2i Analytics Solutions, Recorded Future, Inc., DataFactZ, and Digital Fineprint
The Risk Analytics Market report has been categorized as below
By Deployment Mode
By Organization Size
By Risk Mode
By Vertical
By Component
By Region
The years considered for the study are as follows:
Key Questions Addressed by the Report
Why Buy this Report:
1. Risk Analytics Market Introduction
1.1. Key Insights
1.2. Report Overview
1.3. Markets Covered
1.4. Stakeholders
2. Research Methodology
2.1. Research Scope
2.2. Market Research Process
2.3. Research Data Analysis
2.4. Market Size Estimation
3. Executive Summary
4. Market Overview
4.1. Introduction
4.2. Market Drivers and Restraints
5. By Deployment Mode
5.1. Key Points
5.2. Cloud
5.3. On-premises
6. By Vertical
6.1. Key Points
6.2. Banking & Financial Services
6.3. Insurance
6.4. Manufacturing
6.5. Transportation & Logistics
6.6. Retail & Consumer Goods
6.7. IT & Telecom
6.8. Government & Defense
6.9. Healthcare & Life Sciences
6.10. Energy & Utilities
6.11. Others
7. By Component
7.1. Key Points
7.2. Software
7.2.1. Extract, Transform & Load Tools
7.2.2. Risk Calculation Engines
7.2.3. Scorecard & Visualization Tools
7.2.4. Dashboard Analytics & Risk Reporting Tools
7.2.5. GRC Software
7.2.6. Others
7.3. Services
7.3.1. Professional Services
7.3.2. Managed Services
8. By Risk Mode
8.1. Key Points
8.2. Strategic Risk
8.3. Operational Risk
8.4. Financial Risk
8.5. Others
9. By Organization Size
9.1. Key Points
9.2. Large Enterprises
9.3. Small & Medium-Sized Enterprises
10. By Region
10.1. Key Points
10.2. North America
10.3. Europe
10.4. Asia Pacific
10.5. Rest of the World
11. Company Profile
(Profile contain company overview, products/services, financials & recent developments)
11.1. IBM
11.2. Oracle
11.3. SAP
11.4. SAS Institute
11.5. Moody’s Corporation
11.6. FIS
11.7. Verisk Analytics, Inc.
11.8. AxiomSL, Inc.
11.9. Gurucul
11.10. Provenir
11.11. Risk Edge Solutions
11.12. BRIDGEi2i Analytics Solutions
11.13. Recorded Future, Inc.
11.14. DataFactZ
11.15. Digital Fineprint
The Risk Analytics Market report has been categorized as below
By Deployment Mode
By Organization Size
By Risk Mode
By Vertical
By Component
By Region