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Big Data Analytics in Banking Market Analysis By Application(Customer analytics, Risk & compliance analytics, Operational analytics, Fraud detection & management), By Deployment Mode(On-premise, Cloud), By Analytics Type(Predictive analytics, Prescriptive analytics, Descriptive analytics) & Forecast 2024-2035

  • PUBLISHED ON
  • 9/22/2022
  • NO OF PAGES
  • 271
  • CATEGORY
  • Banking & Finance

Market Overview:

Big data analytics in banking market is expected to witness significant growth in the coming years, driven by the increasing adoption of big data analytics technology by financial institutions to gain a competitive advantage in the market. The growing demand for enhanced customer experience, regulatory compliance, and cost reduction is also contributing to the market growth. Furthermore, the rise in the volume of data generated from various sources, including customer transactions, social media, and IoT devices, is fueling the adoption of big data analytics in the banking industry. The market can be segmented based on solutions, deployment models, services, organization size, and regions. The Asia-Pacific region is expected to witness the fastest growth due to the increasing adoption of big data analytics by financial institutions in emerging economies like China and India. Despite the challenges posed by the COVID-19 pandemic and the ongoing Russia-Ukraine war, the market is expected to continue its growth trajectory in the future.

Understanding customer preferences to improve personalized and targeted products and services

The adoption of big data analytics in banking has contributed to the growth of the market. The banking industry's need for better insights and decision-making capabilities, coupled with the increasing volume and complexity of financial data generated by banking operations, has driven the adoption of big data analytics. By leveraging advanced analytical tools and techniques, big data analytics processes large and diverse datasets to uncover hidden patterns and generate actionable insights. This helps banks to make more informed decisions, optimize processes, and enhance customer experience. Furthermore, big data analytics is also being used in banking for fraud detection and prevention, risk management, and regulatory compliance. With the increasing focus on data privacy and security, big data analytics solutions are being developed to ensure compliance with regulations and protect sensitive customer data. Overall, the adoption of big data analytics in banking is driven by the need for more advanced and efficient data analysis to improve decision-making, reduce costs, and enhance customer experience while ensuring regulatory compliance and data security, thereby driving the Big Data Analytics in Banking Market Growth.

The growing demand for personalized banking services is another significant driving factor for the Big Data Analytics in Banking market. Customers today expect personalized services from their banks, which can be achieved through the use of big data analytics. With the help of big data analytics, banks can gain insights into customer behavior and preferences, allowing them to offer tailored products and services. This not only enhances customer experience but also helps banks to increase customer loyalty and retention. Additionally, the rising adoption of mobile banking and digital payment platforms has further fueled the demand for big data analytics in the banking sector. As more customers use these platforms, banks require a solution to analyze the large volumes of data generated, enabling them to gain insights into customer behavior and improve their services. Overall, the combination of these driving factors is expected to continue driving the growth of the Big Data Analytics in Banking market in the coming years.

Segmentation:

By Application:

·         Customer analytics

·         Risk & compliance analytics

·         Operational analytics

·         Fraud detection & management

·         Others

By Deployment Mode:

·         On-premise

·         Cloud

By Analytics Type:

·         Predictive analytics

·         Prescriptive analytics

·         Descriptive analytics

Geography:

There are several factors contributing to the fast growth of the big data analytics in banking market in the Asia-Pacific region. One of the main reasons is the increasing adoption of digital technologies in the banking sector in countries like China and India, which has led to a massive growth in the volume of data generated. Additionally, the increasing focus on customer experience and personalization is also driving the adoption of big data analytics in the region. Furthermore, the growing number of fintech startups in the region is also contributing to the growth of the market, as these companies are leveraging big data analytics to gain insights into customer behavior and preferences, and to develop innovative products and services. Finally, the favorable government initiatives and policies promoting the adoption of digital technologies in the banking sector is also driving the growth of the big data analytics in banking market in the Asia-Pacific region.

Impact of COVID-19 on the global Edge AI Software Market:

The COVID-19 pandemic has had a significant impact on the Big Data Analytics in Banking market. With the implementation of social distancing and remote work policies, there has been a surge in online banking activity, leading to an increased need for data analytics to handle the increased volume of data. Additionally, the pandemic has highlighted the importance of risk management and fraud detection in the banking industry, further driving the demand for big data analytics solutions. However, the pandemic has also caused economic uncertainties and financial losses for many banks, leading to budget cuts and delays in investments in new technologies, including big data analytics. Overall, the impact of COVID-19 on the Big Data Analytics in Banking market has been a mix of challenges and opportunities, with the long-term effects still uncertain.

Impact of the Russia-Ukraine War on the global Edge AI Software Market:

The Russia-Ukraine war could potentially have an impact on the Big Data Analytics in Banking market, particularly in the regions of Europe and Russia. The economic and political instability caused by the war could lead to a slowdown in the growth of the market in these regions. Additionally, the impact of trade sanctions and restrictions imposed on Russia by the international community could also have an effect on the market. It could lead to a reduction in the adoption of big data analytics solutions in the banking sector in Russia, which could have a ripple effect on the overall growth of the market. However, the exact impact of the Russia-Ukraine war on the Big Data Analytics in Banking market remains to be seen and will depend on various factors, including the duration and intensity of the conflict.

Company Profiles:

·         IBM Corporation

·         Oracle Corporation

·         SAP SE

·         Microsoft Corporation

·         Infosys Limited

·         Accenture PLC

·         Amazon Web Services

·         Tableau Software

·         Hitachi Vantara

·         Palantir Technologies

·         Wipro Limited

·         Teradata Corporation

·         Dell Technologies

·         Cloudera Inc.

·         SAS Institute Inc.


Global Big Data Analytics in Banking Market: Regional Analysis
All the regional segmentation has been studied based on recent and future trends, and the market is forecasted throughout the prediction period. The countries covered in the regional analysis of the Global Big Data Analytics in Banking market report are U.S., Canada, and Mexico in North America, Germany, France, U.K., Russia, Italy, Spain, Turkey, Netherlands, Switzerland, Belgium, and Rest of Europe in Europe, Singapore, Malaysia, Australia, Thailand, Indonesia, Philippines, China, Japan, India, South Korea, Rest of Asia-Pacific (APAC) in the Asia-Pacific (APAC), Saudi Arabia, U.A.E, South Africa, Egypt, Israel, Rest of Middle East and Africa (MEA) as a part of Middle East and Africa (MEA), and Argentina, Brazil, and Rest of South America as part of South America.

Global Big Data Analytics in Banking Market: Market Size Estimation
Both the top-down and bottom-up approaches were used to estimate and validate the size of the market and to estimate the size of various other dependent sub-markets of various marketspaces. The key players in the markets are identified through secondary research, and their market contributions in different applications across regions and globally were determined through primary and secondary research. This entire process included the study of the annual and financial reports of the top market players and extensive interviews for key insights with industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares, splits, and breakdowns were determined using secondary sources and verified through primary sources. All the possible parameters that affect the market covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analysed to arrive at the final quantitative and qualitative data. This data has been consolidated, and detailed inputs and analysis from Analytics Market Research added before being presented in this report.

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Base Year: 2023
Historic Year: 2016-2022
Forecast: 2024-2035


1 Big Data Analytics in Banking Market Definition and Overview
1.1 Objectives of the Study
1.2 Overview of Big Data Analytics in Banking
1.3 Big Data Analytics in Banking Market Scope and Market Size Estimation
1.4 Market Segmentation
1.4.1 Types of Big Data Analytics in Banking
1.4.2 Applications of Big Data Analytics in Banking
1.5 Market Exchange Rate

2 Research Method and Logic
2.1 Methodology
2.2 Research Data Source

3 Market Competition Analysis
3.1 Alation Market Performance Analysis
3.1.1 Alation Basic Information
3.1.2 Product and Service Analysis
3.1.3 Strategies for Company to Deal with the Impact of COVID-19
3.1.4 Alation Sales, Value, Price, Gross Margin 2016-2021
3.2 VMware Market Performance Analysis
3.2.1 VMware Basic Information
3.2.2 Product and Service Analysis
3.2.3 Strategies for Company to Deal with the Impact of COVID-19
3.2.4 VMware Sales, Value, Price, Gross Margin 2016-2021
3.3 SAP SE Market Performance Analysis
3.3.1 SAP SE Basic Information
3.3.2 Product and Service Analysis
3.3.3 Strategies for Company to Deal with the Impact of COVID-19
3.3.4 SAP SE Sales, Value, Price, Gross Margin 2016-2021
3.4 Alteryx Market Performance Analysis
3.4.1 Alteryx Basic Information
3.4.2 Product and Service Analysis
3.4.3 Strategies for Company to Deal with the Impact of COVID-19
3.4.4 Alteryx Sales, Value, Price, Gross Margin 2016-2021
3.5 Hitachi Data Systems Market Performance Analysis
3.5.1 Hitachi Data Systems Basic Information
3.5.2 Product and Service Analysis
3.5.3 Strategies for Company to Deal with the Impact of COVID-19
3.5.4 Hitachi Data Systems Sales, Value, Price, Gross Margin 2016-2021
3.6 Amazon AWS Market Performance Analysis
3.6.1 Amazon AWS Basic Information
3.6.2 Product and Service Analysis
3.6.3 Strategies for Company to Deal with the Impact of COVID-19
3.6.4 Amazon AWS Sales, Value, Price, Gross Margin 2016-2021
3.7 Google Market Performance Analysis
3.7.1 Google Basic Information
3.7.2 Product and Service Analysis
3.7.3 Strategies for Company to Deal with the Impact of COVID-19
3.7.4 Google Sales, Value, Price, Gross Margin 2016-2021
3.8 Splunk Enterprise Market Performance Analysis
3.8.1 Splunk Enterprise Basic Information
3.8.2 Product and Service Analysis
3.8.3 Strategies for Company to Deal with the Impact of COVID-19
3.8.4 Splunk Enterprise Sales, Value, Price, Gross Margin 2016-2021
3.9 New Relic Market Performance Analysis
3.9.1 New Relic Basic Information
3.9.2 Product and Service Analysis
3.9.3 Strategies for Company to Deal with the Impact of COVID-19
3.9.4 New Relic Sales, Value, Price, Gross Margin 2016-2021
3.10 Oracle Market Performance Analysis
3.10.1 Oracle Basic Information
3.10.2 Product and Service Analysis
3.10.3 Strategies for Company to Deal with the Impact of COVID-19
3.10.4 Oracle Sales, Value, Price, Gross Margin 2016-2021
3.11 HP Market Performance Analysis
3.11.1 HP Basic Information
3.11.2 Product and Service Analysis
3.11.3 Strategies for Company to Deal with the Impact of COVID-19
3.11.4 HP Sales, Value, Price, Gross Margin 2016-2021
3.12 Splice Machine Market Performance Analysis
3.12.1 Splice Machine Basic Information
3.12.2 Product and Service Analysis
3.12.3 Strategies for Company to Deal with the Impact of COVID-19
3.12.4 Splice Machine Sales, Value, Price, Gross Margin 2016-2021
3.13 Tableau Market Performance Analysis
3.13.1 Tableau Basic Information
3.13.2 Product and Service Analysis
3.13.3 Strategies for Company to Deal with the Impact of COVID-19
3.13.4 Tableau Sales, Value, Price, Gross Margin 2016-2021
3.14 Microsoft Market Performance Analysis
3.14.1 Microsoft Basic Information
3.14.2 Product and Service Analysis
3.14.3 Strategies for Company to Deal with the Impact of COVID-19
3.14.4 Microsoft Sales, Value, Price, Gross Margin 2016-2021
3.15 Teradata Market Performance Analysis
3.15.1 Teradata Basic Information
3.15.2 Product and Service Analysis
3.15.3 Strategies for Company to Deal with the Impact of COVID-19
3.15.4 Teradata Sales, Value, Price, Gross Margin 2016-2021
3.16 IBM Market Performance Analysis
3.16.1 IBM Basic Information
3.16.2 Product and Service Analysis
3.16.3 Strategies for Company to Deal with the Impact of COVID-19
3.16.4 IBM Sales, Value, Price, Gross Margin 2016-2021

4 Market Segment by Type, Historical Data and Market Forecasts
4.1 Global Big Data Analytics in Banking Production and Value by Type
4.1.1 Global Big Data Analytics in Banking Production by Type 2016-2021
4.1.2 Global Big Data Analytics in Banking Market Value by Type 2016-2021
4.2 Global Big Data Analytics in Banking Market Production, Value and Growth Rate by Type 2016-2021
4.2.1 On-Premise Market Production, Value and Growth Rate
4.2.2 Cloud Market Production, Value and Growth Rate
4.3 Global Big Data Analytics in Banking Production and Value Forecast by Type
4.3.1 Global Big Data Analytics in Banking Production Forecast by Type 2021-2026
4.3.2 Global Big Data Analytics in Banking Market Value Forecast by Type 2021-2026
4.4 Global Big Data Analytics in Banking Market Production, Value and Growth Rate by Type Forecast 2021-2026
4.4.1 On-Premise Market Production, Value and Growth Rate Forecast
4.4.2 Cloud Market Production, Value and Growth Rate Forecast

5 Market Segment by Application, Historical Data and Market Forecasts
5.1 Global Big Data Analytics in Banking Consumption and Value by Application
5.1.1 Global Big Data Analytics in Banking Consumption by Application 2016-2021
5.1.2 Global Big Data Analytics in Banking Market Value by Application 2016-2021
5.2 Global Big Data Analytics in Banking Market Consumption, Value and Growth Rate by Application 2016-2021
5.2.1 Feedback Management Market Consumption, Value and Growth Rate
5.2.2 Customer Analytics Market Consumption, Value and Growth Rate
5.2.3 Social Media Analytics Market Consumption, Value and Growth Rate
5.2.4 Fraud Detection and Management Market Consumption, Value and Growth Rate
5.2.5 Others Market Consumption, Value and Growth Rate
5.3 Global Big Data Analytics in Banking Consumption and Value Forecast by Application
5.3.1 Global Big Data Analytics in Banking Consumption Forecast by Application 2021-2026
5.3.2 Global Big Data Analytics in Banking Market Value Forecast by Application 2021-2026
5.4 Global Big Data Analytics in Banking Market Consumption, Value and Growth Rate by Application Forecast 2021-2026
5.4.1 Feedback Management Market Consumption, Value and Growth Rate Forecast
5.4.2 Customer Analytics Market Consumption, Value and Growth Rate Forecast
5.4.3 Social Media Analytics Market Consumption, Value and Growth Rate Forecast
5.4.4 Fraud Detection and Management Market Consumption, Value and Growth Rate Forecast
5.4.5 Others Market Consumption, Value and Growth Rate Forecast

6 Global Big Data Analytics in Banking by Region, Historical Data and Market Forecasts
6.1 Global Big Data Analytics in Banking Sales by Region 2016-2021
6.2 Global Big Data Analytics in Banking Market Value by Region 2016-2021
6.3 Global Big Data Analytics in Banking Market Sales, Value and Growth Rate by Region 2016-2021
6.3.1 North America
6.3.2 Europe
6.3.3 Asia Pacific
6.3.4 South America
6.3.5 Middle East and Africa
6.4 Global Big Data Analytics in Banking Sales Forecast by Region 2021-2026
6.5 Global Big Data Analytics in Banking Market Value Forecast by Region 2021-2026
6.6 Global Big Data Analytics in Banking Market Sales, Value and Growth Rate Forecast by Region 2021-2026
6.6.1 North America
6.6.2 Europe
6.6.3 Asia Pacific
6.6.4 South America
6.6.5 Middle East and Africa

7 United State Market Size Analysis 2016-2026
7.1 United State Big Data Analytics in Banking Value and Market Growth 2016-2021
7.2 United State Big Data Analytics in Banking Sales and Market Growth 2016-2021
7.3 United State Big Data Analytics in Banking Market Value Forecast 2021-2026

8 Canada Market Size Analysis 2016-2026
8.1 Canada Big Data Analytics in Banking Value and Market Growth 2016-2021
8.2 Canada Big Data Analytics in Banking Sales and Market Growth 2016-2021
8.3 Canada Big Data Analytics in Banking Market Value Forecast 2021-2026

9 Germany Market Size Analysis 2016-2026
9.1 Germany Big Data Analytics in Banking Value and Market Growth 2016-2021
9.2 Germany Big Data Analytics in Banking Sales and Market Growth 2016-2021
9.3 Germany Big Data Analytics in Banking Market Value Forecast 2021-2026

10 UK Market Size Analysis 2016-2026
10.1 UK Big Data Analytics in Banking Value and Market Growth 2016-2021
10.2 UK Big Data Analytics in Banking Sales and Market Growth 2016-2021
10.3 UK Big Data Analytics in Banking Market Value Forecast 2021-2026

11 France Market Size Analysis 2016-2026
11.1 France Big Data Analytics in Banking Value and Market Growth 2016-2021
11.2 France Big Data Analytics in Banking Sales and Market Growth 2016-2021
11.3 France Big Data Analytics in Banking Market Value Forecast 2021-2026

12 Italy Market Size Analysis 2016-2026
12.1 Italy Big Data Analytics in Banking Value and Market Growth 2016-2021
12.2 Italy Big Data Analytics in Banking Sales and Market Growth 2016-2021
12.3 Italy Big Data Analytics in Banking Market Value Forecast 2021-2026

13 Spain Market Size Analysis 2016-2026
13.1 Spain Big Data Analytics in Banking Value and Market Growth 2016-2021
13.2 Spain Big Data Analytics in Banking Sales and Market Growth 2016-2021
13.3 Spain Big Data Analytics in Banking Market Value Forecast 2021-2026

14 Russia Market Size Analysis 2016-2026
14.1 Russia Big Data Analytics in Banking Value and Market Growth 2016-2021
14.2 Russia Big Data Analytics in Banking Sales and Market Growth 2016-2021
14.3 Russia Big Data Analytics in Banking Market Value Forecast 2021-2026

15 China Market Size Analysis 2016-2026
15.1 China Big Data Analytics in Banking Value and Market Growth 2016-2021
15.2 China Big Data Analytics in Banking Sales and Market Growth 2016-2021
15.3 China Big Data Analytics in Banking Market Value Forecast 2021-2026

16 Japan Market Size Analysis 2016-2026
16.1 Japan Big Data Analytics in Banking Value and Market Growth 2016-2021
16.2 Japan Big Data Analytics in Banking Sales and Market Growth 2016-2021
16.3 Japan Big Data Analytics in Banking Market Value Forecast 2021-2026

17 South Korea Market Size Analysis 2016-2026
17.1 South Korea Big Data Analytics in Banking Value and Market Growth 2016-2021
17.2 South Korea Big Data Analytics in Banking Sales and Market Growth 2016-2021
17.3 South Korea Big Data Analytics in Banking Market Value Forecast 2021-2026

18 Australia Market Size Analysis 2016-2026
18.1 Australia Big Data Analytics in Banking Value and Market Growth 2016-2021
18.2 Australia Big Data Analytics in Banking Sales and Market Growth 2016-2021
18.3 Australia Big Data Analytics in Banking Market Value Forecast 2021-2026

19 Thailand Market Size Analysis 2016-2026
19.1 Thailand Big Data Analytics in Banking Value and Market Growth 2016-2021
19.2 Thailand Big Data Analytics in Banking Sales and Market Growth 2016-2021
19.3 Thailand Big Data Analytics in Banking Market Value Forecast 2021-2026

20 Brazil Market Size Analysis 2016-2026
20.1 Brazil Big Data Analytics in Banking Value and Market Growth 2016-2021
20.2 Brazil Big Data Analytics in Banking Sales and Market Growth 2016-2021
20.3 Brazil Big Data Analytics in Banking Market Value Forecast 2021-2026

21 Argentina Market Size Analysis 2016-2026
21.1 Argentina Big Data Analytics in Banking Value and Market Growth 2016-2021
21.2 Argentina Big Data Analytics in Banking Sales and Market Growth 2016-2021
21.3 Argentina Big Data Analytics in Banking Market Value Forecast 2021-2026

22 Chile Market Size Analysis 2016-2026
22.1 Chile Big Data Analytics in Banking Value and Market Growth 2016-2021
22.2 Chile Big Data Analytics in Banking Sales and Market Growth 2016-2021
22.3 Chile Big Data Analytics in Banking Market Value Forecast 2021-2026

23 South Africa Market Size Analysis 2016-2026
23.1 South Africa Big Data Analytics in Banking Value and Market Growth 2016-2021
23.2 South Africa Big Data Analytics in Banking Sales and Market Growth 2016-2021
23.3 South Africa Big Data Analytics in Banking Market Value Forecast 2021-2026

24 Egypt Market Size Analysis 2016-2026
24.1 Egypt Big Data Analytics in Banking Value and Market Growth 2016-2021
24.2 Egypt Big Data Analytics in Banking Sales and Market Growth 2016-2021
24.3 Egypt Big Data Analytics in Banking Market Value Forecast 2021-2026

25 UAE Market Size Analysis 2016-2026
25.1 UAE Big Data Analytics in Banking Value and Market Growth 2016-2021
25.2 UAE Big Data Analytics in Banking Sales and Market Growth 2016-2021
25.3 UAE Big Data Analytics in Banking Market Value Forecast 2021-2026

26 Saudi Arabia Market Size Analysis 2016-2026
26.1 Saudi Arabia Big Data Analytics in Banking Value and Market Growth 2016-2021
26.2 Saudi Arabia Big Data Analytics in Banking Sales and Market Growth 2016-2021
26.3 Saudi Arabia Big Data Analytics in Banking Market Value Forecast 2021-2026

27 Market Dynamic Analysis and Development Suggestions
27.1 Market Drivers
27.2 Market Development Constraints
27.3 PEST Analysis
27.3.1 Political Factors
27.3.2 Economic Factors
27.3.3 Social Factors
27.3.4 Technological Factors
27.4 Industry Trends Under COVID-19
27.4.1 Risk Assessment on COVID-19
27.4.2 Assessment of the Overall Impact of COVID-19 on the Industry
27.4.3 Pre COVID-19 and Post COVID-19 Market Scenario
27.5 Market Entry Strategy Analysis
27.5.1 Market Definition
27.5.2 Client
27.5.3 Distribution Model
27.5.4 Product Messaging and Positioning
27.5.5 Price
27.6 Advice on Entering the Market

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Case Study- Automotive Sector

One of the key manufacturers of automotive had plans to invest in electric utility vehicles. The electric cars and associated markets being a of evolving nature, the automotive client approached Straits Research for a detailed insight on the market forecasts. The client specifically asked for competitive analysis, regulatory framework, regional prospects studied under the influence of drivers, challenges, opportunities, and pricing in terms of revenue and sales (million units).

Solution

The overall study was executed in three stages, intending to help the client meet its objective of precisely understanding the entire market before deciding on an investment. At first, secondary research was conducted considering political, economic, social, and technological parameters to get a gist of the various aspects of the market. This stage of the study concluded with the derivation of drivers, opportunities, and challenges. It also laid substantial emphasis on understanding and collecting data not only on a global scale but also on the regional and country levels. Data Extraction through Primary Research

The second stage involved primary research in which several market players and automotive parts suppliers were contacted to study their viewpoint concerning the development of their market and production capacity, clientele, and product line. This stage concluded in a brief understanding of the competitive ecosystem and also glanced through the strategies and pricing of the companies profiled.

Market Estimates and Forecast

In the final stage of the study, market forecasts for the electric utility were derived using multiple market engineering approaches. This data helped the client to get an overview of the market and accelerate the process of investment.

Case Study- ICT Sector

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Conclusion

The report aided the client in understanding the market trends, including country-level business scenarios, consumer behavior, and trends in 50 countries. The report also provided financial insights of crucial players and detailed market estimations and forecasts till 2028.


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