| Product Code: ETC10082538 | Publication Date: Sep 2024 | Updated Date: Sep 2025 | Product Type: Market Research Report | |
| Publisher: 6Wresearch | Author: Shubham Padhi | No. of Pages: 75 | No. of Figures: 35 | No. of Tables: 20 |
1 Executive Summary |
2 Introduction |
2.1 Key Highlights of the Report |
2.2 Report Description |
2.3 Market Scope & Segmentation |
2.4 Research Methodology |
2.5 Assumptions |
3 Vietnam Predictive Analytics in Banking Market Overview |
3.1 Vietnam Country Macro Economic Indicators |
3.2 Vietnam Predictive Analytics in Banking Market Revenues & Volume, 2021 & 2031F |
3.3 Vietnam Predictive Analytics in Banking Market - Industry Life Cycle |
3.4 Vietnam Predictive Analytics in Banking Market - Porter's Five Forces |
3.5 Vietnam Predictive Analytics in Banking Market Revenues & Volume Share, By Component, 2021 & 2031F |
3.6 Vietnam Predictive Analytics in Banking Market Revenues & Volume Share, By Deployment Model, 2021 & 2031F |
3.7 Vietnam Predictive Analytics in Banking Market Revenues & Volume Share, By Organization Size, 2021 & 2031F |
3.8 Vietnam Predictive Analytics in Banking Market Revenues & Volume Share, By Application, 2021 & 2031F |
4 Vietnam Predictive Analytics in Banking Market Dynamics |
4.1 Impact Analysis |
4.2 Market Drivers |
4.2.1 Increasing adoption of digital technologies in the banking sector in Vietnam |
4.2.2 Growing need for data-driven decision-making in banking operations |
4.2.3 Rising demand for personalized banking services to enhance customer experience |
4.3 Market Restraints |
4.3.1 Lack of skilled professionals in the field of predictive analytics in Vietnam |
4.3.2 Concerns regarding data privacy and security in banking analytics |
4.3.3 Limited awareness and understanding of the benefits of predictive analytics among banking institutions in Vietnam |
5 Vietnam Predictive Analytics in Banking Market Trends |
6 Vietnam Predictive Analytics in Banking Market, By Types |
6.1 Vietnam Predictive Analytics in Banking Market, By Component |
6.1.1 Overview and Analysis |
6.1.2 Vietnam Predictive Analytics in Banking Market Revenues & Volume, By Component, 2021- 2031F |
6.1.3 Vietnam Predictive Analytics in Banking Market Revenues & Volume, By Solutions, 2021- 2031F |
6.1.4 Vietnam Predictive Analytics in Banking Market Revenues & Volume, By Services, 2021- 2031F |
6.2 Vietnam Predictive Analytics in Banking Market, By Deployment Model |
6.2.1 Overview and Analysis |
6.2.2 Vietnam Predictive Analytics in Banking Market Revenues & Volume, By Cloud-based, 2021- 2031F |
6.2.3 Vietnam Predictive Analytics in Banking Market Revenues & Volume, By On-premises, 2021- 2031F |
6.3 Vietnam Predictive Analytics in Banking Market, By Organization Size |
6.3.1 Overview and Analysis |
6.3.2 Vietnam Predictive Analytics in Banking Market Revenues & Volume, By Large Enterprises, 2021- 2031F |
6.3.3 Vietnam Predictive Analytics in Banking Market Revenues & Volume, By Small and Medium-sized Enterprises, 2021- 2031F |
6.4 Vietnam Predictive Analytics in Banking Market, By Application |
6.4.1 Overview and Analysis |
6.4.2 Vietnam Predictive Analytics in Banking Market Revenues & Volume, By Fraud Detection and Prevention, 2021- 2031F |
6.4.3 Vietnam Predictive Analytics in Banking Market Revenues & Volume, By Customer Management, 2021- 2031F |
6.4.4 Vietnam Predictive Analytics in Banking Market Revenues & Volume, By Sales and Marketing, 2021- 2031F |
6.4.5 Vietnam Predictive Analytics in Banking Market Revenues & Volume, By Workforce Management, 2021- 2031F |
6.4.6 Vietnam Predictive Analytics in Banking Market Revenues & Volume, By Others, 2021- 2031F |
7 Vietnam Predictive Analytics in Banking Market Import-Export Trade Statistics |
7.1 Vietnam Predictive Analytics in Banking Market Export to Major Countries |
7.2 Vietnam Predictive Analytics in Banking Market Imports from Major Countries |
8 Vietnam Predictive Analytics in Banking Market Key Performance Indicators |
8.1 Percentage increase in the number of banks implementing predictive analytics solutions |
8.2 Average time taken to implement predictive analytics projects in banking sector |
8.3 Percentage improvement in customer satisfaction scores after implementing predictive analytics solutions |
8.4 Increase in the number of predictive analytics-related job postings in the banking industry in Vietnam |
8.5 Percentage reduction in operational costs achieved through the use of predictive analytics. |
9 Vietnam Predictive Analytics in Banking Market - Opportunity Assessment |
9.1 Vietnam Predictive Analytics in Banking Market Opportunity Assessment, By Component, 2021 & 2031F |
9.2 Vietnam Predictive Analytics in Banking Market Opportunity Assessment, By Deployment Model, 2021 & 2031F |
9.3 Vietnam Predictive Analytics in Banking Market Opportunity Assessment, By Organization Size, 2021 & 2031F |
9.4 Vietnam Predictive Analytics in Banking Market Opportunity Assessment, By Application, 2021 & 2031F |
10 Vietnam Predictive Analytics in Banking Market - Competitive Landscape |
10.1 Vietnam Predictive Analytics in Banking Market Revenue Share, By Companies, 2024 |
10.2 Vietnam Predictive Analytics in Banking Market Competitive Benchmarking, By Operating and Technical Parameters |
11 Company Profiles |
12 Recommendations |
13 Disclaimer |
Export potential enables firms to identify high-growth global markets with greater confidence by combining advanced trade intelligence with a structured quantitative methodology. The framework analyzes emerging demand trends and country-level import patterns while integrating macroeconomic and trade datasets such as GDP and population forecasts, bilateral import–export flows, tariff structures, elasticity differentials between developed and developing economies, geographic distance, and import demand projections. Using weighted trade values from 2020–2024 as the base period to project country-to-country export potential for 2030, these inputs are operationalized through calculated drivers such as gravity model parameters, tariff impact factors, and projected GDP per-capita growth. Through an analysis of hidden potentials, demand hotspots, and market conditions that are most favorable to success, this method enables firms to focus on target countries, maximize returns, and global expansion with data, backed by accuracy.
By factoring in the projected importer demand gap that is currently unmet and could be potential opportunity, it identifies the potential for the Exporter (Country) among 190 countries, against the general trade analysis, which identifies the biggest importer or exporter.
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