The Predictive Analytics in Banking Market is estimated to develop at a substantial CAGR for the duration of the prediction. Key factors such as rapidly growing finance and banking sector, increasing need for advanced analytics solutions for managing huge data and predicting outgoing property payments and customer flow, and high usage of mobile banking applications are expected to boost global market growth.

Over the recent years, financial services companies are focused on improving consumer care services by offering the best, latest, and most secure products and services. Predictive analytics is a powerful tool that is rapidly gaining traction in the banking sector to cater to rising fraudulent activities, identifying financial uncertainties and risks, strategic management errors, legal liabilities, and handling large databases. It involves a wide range of statistical methods including data mining, predictive modelling, machine learning, Internet of Things (IoT), and Artificial Intelligence (AI) to analyze large amounts of information, risk management, and customer segment and predict future consumer behavior.

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Factors such as high penetration of internet and online banking services, rapid adoption of advanced technologies in banking sector and changing consumer patterns, and rising expectations for more flexibility and personalization are expected to drive global market growth during the forecast period.

However, high cost of predictive analytics software, inaccessibility to advanced solutions due to shortage of funds in small to medium enterprises, and rising concerns about data security and privacy violation are some key factors that can hamper overall market growth during the forecast period.

Customer Analytics Segment To Register Rapid Revenue CAGR:

The customer analytics segment revenue is expected to expand at a rapid revenue CAGR over the forecast period attributed to factors such as rising consumer demand for flexible and personalized services and growing need for identifying consumer spending categories and cash flow trends to improve customer relationships.

Large Enterprises Segment to Account for Significant Revenue Share:

The large enterprise segment is expected to account for significantly larger revenue share during the forecast period owing to increasing fraudulent activities in the banking sector, rising penetration of internet and mobile banking, and rapid adoption of predictive analytics to boost data security and understand consumer flow.

North America to Lead in Terms of Revenue Share:

North America is expected to lead the global market in terms of revenue share owing to high usage of mobile banking and online services, rising number of fraudulent activities, money laundering, accounting fraud, increasing awareness among customers, and presence of leading market players. In addition, growing adoption of advanced technologies and increasing demand for advanced analytics solutions in small to large enterprises are expected to drive global market growth in North America going ahead.

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Predictive Analytics in Banking Market By Company:

Accretive Technologies Inc.
Angoss Software Corporation
Information Builders
Salford Systems

For the purpose of this report, Xcellent Insights has segmented the global predictive analytics in banking market based on type, application and region:

Predictive Analytics in Banking Market Segment by Type:

Customer Analytics
White-collar Automation
Credit Scoring
Trading Insight

Predictive Analytics in Banking Market Segment by Application:

Small & Medium Enterprises (SMEs)
Large Enterprises

Predictive Analytics in Banking Market Segment by Region:

North America
United States

Nordic Countries

Asia Pacific
South Korea

Southeast Asia
Rest of Asia

Latin America
Rest of Latin America

Middle East & Africa
Saudi Arabia
Rest of MEA

Key Reasons to Purchase:

Estimates 2023 to 2028 predictive analytics in banking market current market trends and development trends
Market dynamics along with growth opportunities of the market in the years to come
Market segmentation analysis including qualitative and quantitative research incorporating the impact of economic and policy aspects
Regional and country level analysis integrating the demand and supply forces that are influencing the growth of the predictive analytics in banking market
Competitive landscape involving market share of the major players, new strategies and projects adopted by players in the last five years
Comprehensive company profiles covering product offerings, key financial information, SWOT analysis and strategies employed by major market players
Brief about impact of COVID-19 on the global predictive analytics in banking market

Key Questions Addressed:

What revenue CAGR is the global market expected to register during the forecast period?
Which key players are leading in the global predictive analytics in banking market?
What is the expected market size of the global predictive analytics in banking market between 2023 and 2028?
What factors are expected to open new growth avenues and opportunities for existing and emerging market players?
What are some of the key challenges that the global market is expected to face during the forecast period?
Which region is expected to account for largest revenue share over the forecast period?

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