BIG DATA ANALYTICS IN BANKING MARKET GROWTH RATE, DEVELOPING TRENDS, MANUFACTURERS, COUNTRIES, TYPE AND APPLICATION, GLOBAL FORECAST TO 2023

This report focuses on the global Big Data Analytics in Banking status, future forecast, growth opportunity, key market and key players. The study objectives are to present the Big Data Analytics in Banking development in United States, Europe and China. APAC is expected to have High Adoption Rate Owing to Large Potential. Rapid technological developments in the information technology sector and increasing business operations mark Asia-Pacific (APAC) as the most important market for Big Data in banking during the forecast period. The biggest contributors to this market are China and India that account for most of the revenue in the APAC region. Many organizations in the APAC region are increasingly depending on digital systems to realize their goals. Several vendors, such as SAP and IBM provide wide -range of Big Data analytics services to banks in the region. Some of the core capabilities of these services include real-time monitoring, big cloud services, and other customized dashboards for easier retrieval of data, to ease the workflows. These tools enable organizations for on-the-resource planning and offer modified plans to aid decision-making.

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The Global BIG DATA ANALYTICS IN BANKING MARKET research 2018 covers the current market size and its growth rates based on 5 year history data. The Global Big Data Analytics in Banking Industry provides key statistics on the current market status of the Big Data Analytics in Banking top manufacturers and is a valuable source of guidance and direction for companies and individuals interested in the industry. Firstly, the report provides a basic overview of the industry including its definition, applications and manufacturing technology. Then, the report explores the international major industry players in detail. In this part, the report presents the company profile, product specifications, capacity, production value, and 2013-2018 market shares for each company. Through the statistical analysis, the report depicts the global total market of Big Data Analytics in Banking industry including capacity, production, production value, cost/profit, supply/demand. The total market is further divided by company, by country, and by application/type for the competitive landscape analysis. The report then estimates 2018-2023 market development trends of Big Data Analytics in Banking industry. Analysis of upstream raw materials, downstream demand, and current market dynamics is also carried out. In the end, the report makes some important proposals for a new project of Big Data Analytics in Banking Industry before evaluating its feasibility. Overall, the report provides an in-depth insight of 2013-2023 global Big Data Analytics in Banking industry covering all important parameters.

Customer Analytics is expected to be One of the Prime Software Application. A number of categories, such as defecting customers, loyal customers etc. can be identified through big data analytics and the required reward for each category can be decided. Through such applications, the retention of customers is possible, and the detection of disloyal customers helps the company to reduce the focus on such customers. The buying habits of customers can also be identified, and the sales for each customer can be customized. This customization results in the high response rate for customers and better customer experienced.

In 2017, the global Big Data Analytics in Banking market size was xx million US$ and it is expected to reach xx million US$ by the end of 2025, with a CAGR of xx% during 2018-2025.

The key players covered in this study

IBM

Oracle

SAP SE

Microsoft

HP

Amazon AWS

Google

Hitachi Data Systems

Tableau

New Relic

Market segment by Type, the product can be split into

On-Premise

Cloud

Market segment by Application, split into

Feedback Management

Customer Analytics

Social Media Analytics

Fraud Detection and Management

Others

Market segment by Regions/Countries, this report covers

United States

Europe

China

Japan

Southeast Asia

India

Central & South America

The study objectives of this report are:

To analyze global Big Data Analytics in Banking status, future forecast, growth opportunity, key market and key players.

To present the Big Data Analytics in Banking development in United States, Europe and China.

To strategically profile the key players and comprehensively analyze their development plan and strategies.

To define, describe and forecast the market by product type, market and key regions.

Table of Contents:

1  Report  Overview

        1.1  Study  Scope

        1.2  Key  Market  Segments

        1.3  Players  Covered

        1.4  Market  Analysis  by  Type

                1.4.1  Global  Big  Data  Analytics  in  Banking  Market  Size  Growth  Rate  by  Type  (2013-2025)

                1.4.2  On-Premise

                1.4.3  Cloud

        1.5  Market  by  Application

                1.5.1  Global  Big  Data  Analytics  in  Banking  Market  Share  by  Application  (2013-2025)

                1.5.2  Feedback  Management

                1.5.3  Customer  Analytics

                1.5.4  Social  Media  Analytics

                1.5.5  Fraud  Detection  and  Management

                1.5.6  Others

        1.6  Study  Objectives

        1.7  Years  Considered

2  Global  Growth  Trends

        2.1  Big  Data  Analytics  in  Banking  Market  Size

        2.2  Big  Data  Analytics  in  Banking  Growth  Trends  by  Regions

                2.2.1  Big  Data  Analytics  in  Banking  Market  Size  by  Regions  (2013-2025)

                2.2.2  Big  Data  Analytics  in  Banking  Market  Share  by  Regions  (2013-2018)

        2.3  Industry  Trends and many more………..

Advanced and in-depth research having top down and bottom up end to end methodology and detailed procedures. Our primary research and secondary is carried out by the industry experts and consultant, who have vast research and industry experience. Hence, extreme care is taken from building the TOC till execution of report.

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