Business Analytics in FinTech Market By Component (Solution, Service), By Deployment Mode (On-Premise, Cloud), By Type (Predictive Analytics, Prescriptive Analytics, Descriptive Analytics, Others), By Application (Fraud Detection and Prevention, Customer Management, Sales and Marketing, Workforce Management, Others), By Organization Size (Large Enterprises, Small and Medium Sized Enterprises): Global Opportunity Analysis and Industry Forecast, 2022-2031
Business analytics is the use of different tools and technologies to gather, process, and analyze raw data within the fintech companies, as well as the use of data analytics. Customer segmentation, credit risk management, and fraud detection are examples of business analytics. In addition, as fintech products become more commoditized, business analytics can help fintech companies to stand out and achieve a competitive advantage.
The growth of the business analytics in fintech market is fueled by an increase in the adoption of advanced technologies for fraud detection. Moreover, the market's growth is aided by an increase in demand for data science and predictive modeling in fintech industry. However, the market's expansion is likely to be hampered by a shortage of experienced personnel and expensive implementation costs. In contrast, the advent of sophisticated technologies such as IoT and AI is likely to give significant opportunities for the business analytics in fintech market to grow in the coming years.
The business analytics in fintech market is segmented into component, deployment mode, type, application, organization size, and region. By component, the market is differentiated into solution and service. The service segment is further segregated into professional and managed services. The professional services is further bifurcated into system implementation & integration, support & maintenance, and training & consulting. Depending on deployment mode, it is fragmented into on-premise and cloud. By organization size, it is fragmented into large enterprise and small & medium sized enterprises. By type, the market is differentiated into predictive analytics, prescriptive analytics, descriptive analytics, and others. The applications covered in the study includes fraud detection & prevention, customer management, sales & marketing, workforce management, and others. By organization size, the market is segmented into large enterprises and small and medium sized enterprises. Region wise, the market is analyzed across North America, Europe, Asia-Pacific, and LAMEA.
The business analytics in fintech market analysis includes top companies operating in the market such as Alteryx, Inc., Amazon Web Services, Inc., Aspire systems, Dell Inc., Google, IBM, Knime AG, Microsoft, Mu Sigma, Oracle, SAP SE, SAS Institute Inc., Sisense Inc., Tableau Software, LLC (Salesforce), Zoho Corporation Pvt. Ltd, TIBCO Software Inc., and Finn AI. These players have adopted various strategies to increase their market penetration and strengthen their position in the business analytics in fintech industry.
KEY BENEFITS FOR STAKEHOLDERSThe study provides in-depth analysis of the global business analytics in fintech market along with the current trends and future estimations to illustrate the imminent investment pockets.
Information about key drivers, restrains, & opportunities and their impact analysis on the global business analytics in fintech market size are provided in the report.
The Porter’s five forces analysis illustrates the potency of buyers and suppliers operating in the industry.
The quantitative analysis of the global business analytics in fintech market from 2021 to 2031 is provided to determine the market potential.
Additional company profiles with specific to client's interest
Additional country or region analysis- market size and forecast
Key player details (including location, contact details, supplier/vendor network etc. in excel format)
SWOT Analysis
Key Market SegmentsBy ComponentSolution
Service
Service
Professional Services
Managed Services
By Deployment ModeOn-Premise
Cloud
By TypePredictive Analytics
Prescriptive Analytics
Descriptive Analytics
Others
By ApplicationFraud Detection and Prevention
Customer Management
Sales and Marketing
Workforce Management
Others
By Organization SizeLarge Enterprises
Small and Medium Sized Enterprises
By RegionNorth America
U.S.
Canada
Europe
UK
Germany
France
Italy
Spain
Netherlands
Rest Of Europe
Asia-Pacific
China
Japan
India
Australia
South Korea
Singapore
Rest Of Asia-Pacific
LAMEA
Latin America
Middle East
Africa
Key Market PlayersAlteryx, Inc.
Finn AI
TIBCO Software Inc.
Zoho Corporation Pvt. Ltd.
Tableau Software, LLC (Salesforce)
Aspire Systems
Sisense Inc.
SAS Institute Inc.
SAP SE
Oracle
Mu Sigma
Dell Inc.
Amazon Web Services, Inc.
Google
IBM
Knime AG
Microsoft
Please Note: It will take 7-10 business days to complete the report upon order confirmation.