Published by A2Z Market Research
Posted on September 23, 2021
4 min readLast updated: February 2, 2026
The report explores predictive analytics in banking, highlighting key players, market trends, and financial risk management strategies.
Predictive analytics is an advanced analytics technology that identifies the current trend of organizations and controls the financial risks for the organization using historical data and current data. The predictive analytics uses a wide variety of techniques such as statistics, data mining, data modeling, machine learning, and artificial intelligence. These techniques are widely adopted for identifying financial uncertainty, accidents, strategic management errors, and legal liabilities.
Leading market players and manufacturers are studied to help give a brief idea about them in the report. The challenges faced by them and the reasons they are on that position is explained to help make a well informed decision. Competitive landscape of Predictive Analytics in Banking market is given presenting detailed insights into the company profiles, developments, merges, acquisitions, economic status and best SWOT analysis.
The top companies of this market are Accretive Technologies Inc., Angoss Software Corporation, FICO, HP, IBM, Information Builders, KXEN Inc., Microsoft, Oracle, Salford Systems.
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This report gives a detailed and comprehensive understanding of Predictive Analytics in Banking market. With precise data covering all key aspects of the existing market, this report offers existing data of leading manufacturers. Understanding of the market condition by compliance of accurate historical data regarding each and every segment for the forecast period is mentioned. Leading factors affecting the growth of the market in a positive and negative perspective is examined and evaluated and projected in the report in detail. Insightful views and case studies from various industry experts help make the report more authentic.
Predictive Analytics in Banking market has been studied in terms of all parameters such as applications, types, products and many other. Each and every data leading to growth or fall of the respective segments have been explained. Entire supply chain with respect to Predictive Analytics in Banking market is studied in depth and is conveyed in the most comprehensive way possible. The reasons there is going to be an increasing trend to this market are studied and are elaborated. Driving forces, restraints and opportunities are given to help give a better picture of this market investment for the forecast period.
The report provides insights on the following pointers:
Market Penetration: Comprehensive information on the product portfolios of the top players in the {keywords[1]} market.
Competitive Assessment: In-depth assessment of the market strategies, geographic and business segments of the leading players in the market.
Product Development/Innovation: Detailed insights on the upcoming technologies, R&D activities, and product launches in the market.
Market Development: Comprehensive information about emerging markets. This report analyzes the market for various segments across geographies.
Market Diversification: Exhaustive information about new products, untapped geographies, recent developments, and investments in the {keywords[1]} market.
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Considering regions, major parts of the globe are covered with depth of research including North America, Asia Pacific, Europe, the Middle East & Africa and Latin America. The consumption, revenue, market value, production, share and growth rate of Predictive Analytics in Banking market from 2018 to 2025 is been covered.
It also gives detailed insight into the competitive landscape and the vendors of Predictive Analytics in Banking market with detailed business profiles of the key players. Data about the companies, specifications of their respective products, various portfolios, fanatical overview, generation of revenue, recent developments and upcoming challenges about Predictive Analytics in Banking are well explained. A complete SWOT analysis including growth opportunities of this market is done to help make well informed market selection.
The research provides answers to the following key questions:
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The article focuses on predictive analytics in the banking market, examining key players and market trends.
Techniques include statistics, data mining, machine learning, and artificial intelligence.
Key players include Accretive Technologies, Angoss Software Corporation, and FICO.
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