Vietnam AI in Retail and Customer Analytics Market

Vietnam AI in Retail and Customer Analytics Market is worth USD 1.2 Bn, fueled by AI adoption for customer insights, inventory management, and omnichannel strategies in key cities like Hanoi and Ho Chi Minh.

Region:Asia

Author(s):Dev

Product Code:KRAB5447

Pages:81

Published On:October 2025

About the Report

Base Year 2024

Vietnam AI in Retail and Customer Analytics Market Overview

  • The Vietnam AI in Retail and Customer Analytics Market is valued at USD 1.2 billion, based on a five-year historical analysis. This growth is primarily driven by the increasing adoption of AI technologies in retail operations, enhancing customer experience, and optimizing supply chain management. The rise in e-commerce and the demand for personalized shopping experiences have further fueled investments in AI solutions.
  • Key cities such as Ho Chi Minh City and Hanoi dominate the market due to their status as economic hubs with a high concentration of retail businesses and tech startups. The urban population's growing affinity for digital solutions and the presence of major retail chains in these cities contribute significantly to the market's expansion.
  • In 2023, the Vietnamese government implemented a policy to promote the use of AI in various sectors, including retail. This initiative includes a funding allocation of USD 200 million aimed at supporting AI research and development, encouraging local businesses to adopt AI technologies, and enhancing the overall digital infrastructure in the retail sector.
Vietnam AI in Retail and Customer Analytics Market Size

Vietnam AI in Retail and Customer Analytics Market Segmentation

By Type:The market is segmented into various types of AI solutions that cater to different aspects of retail and customer analytics. The subsegments include Customer Insights Tools, Inventory Management Solutions, Sales Forecasting Software, Pricing Optimization Tools, Customer Engagement Platforms, Fraud Detection Systems, and Others. Each of these tools plays a crucial role in enhancing operational efficiency and customer satisfaction.

Vietnam AI in Retail and Customer Analytics Market segmentation by Type.

By End-User:The end-user segmentation includes various retail formats that utilize AI technologies for enhanced customer analytics. This includes Supermarkets and Hypermarkets, Specialty Stores, E-commerce Retailers, Department Stores, Convenience Stores, and Others. Each segment has unique requirements and benefits from tailored AI solutions to improve customer engagement and operational efficiency.

Vietnam AI in Retail and Customer Analytics Market segmentation by End-User.

Vietnam AI in Retail and Customer Analytics Market Competitive Landscape

The Vietnam AI in Retail and Customer Analytics Market is characterized by a dynamic mix of regional and international players. Leading participants such as FPT Corporation, Viettel Group, CMC Corporation, MobiFone, VinGroup, TMA Solutions, VNG Corporation, VCCorp, Momo, ZaloPay, Sendo, Shopee, Lazada, Tiki, Tiki.vn contribute to innovation, geographic expansion, and service delivery in this space.

FPT Corporation

1988

Hanoi, Vietnam

Viettel Group

2004

Hanoi, Vietnam

CMC Corporation

1993

Hanoi, Vietnam

MobiFone

1993

Hanoi, Vietnam

VinGroup

1993

Hanoi, Vietnam

Company

Establishment Year

Headquarters

Group Size (Large, Medium, or Small as per industry convention)

Revenue Growth Rate

Customer Retention Rate

Market Penetration Rate

Pricing Strategy

Product Innovation Rate

Vietnam AI in Retail and Customer Analytics Market Industry Analysis

Growth Drivers

  • Increasing Consumer Demand for Personalization:The Vietnamese retail sector is witnessing a surge in consumer demand for personalized shopping experiences, with 70% of consumers expressing a preference for tailored recommendations. This trend is supported by a 15% increase in online shopping, driven by platforms like Tiki and Shopee, which utilize AI to analyze consumer behavior. As a result, retailers are investing in AI technologies to enhance customer engagement and satisfaction, leading to improved sales and loyalty.
  • Adoption of Omnichannel Retail Strategies:In Vietnam, the omnichannel retail approach is gaining traction, with 60% of retailers implementing integrated online and offline strategies. This shift is supported by a 20% increase in mobile commerce, as consumers increasingly use smartphones for shopping. Retailers are leveraging AI to streamline inventory management and enhance customer interactions across channels, resulting in a more cohesive shopping experience that drives revenue growth and customer retention.
  • Advancements in Data Analytics Technologies:The rapid evolution of data analytics technologies is a key driver for the AI market in Vietnam. In future, the country is expected to see a 25% increase in data generation, fueled by the rise of IoT devices. Retailers are harnessing AI-driven analytics to gain insights into consumer preferences and optimize supply chains. This technological advancement enables businesses to make data-informed decisions, enhancing operational efficiency and competitiveness in the retail landscape.

Market Challenges

  • Data Privacy Concerns:As the AI in retail market expands, data privacy issues are becoming increasingly prominent. In Vietnam, 45% of consumers express concerns about how their data is used, leading to hesitance in adopting AI-driven solutions. The government is also tightening regulations, with the Personal Data Protection Law expected to be enforced in future. This regulatory environment poses challenges for retailers seeking to implement AI technologies while ensuring compliance and maintaining consumer trust.
  • High Implementation Costs:The initial costs associated with implementing AI technologies can be prohibitive for many retailers in Vietnam. On average, small to medium-sized enterprises (SMEs) face implementation costs ranging from $50,000 to $200,000, which can deter investment. Additionally, ongoing maintenance and training expenses further strain budgets. This financial barrier limits the ability of many retailers to adopt advanced AI solutions, hindering overall market growth and innovation.

Vietnam AI in Retail and Customer Analytics Market Future Outlook

The future of the AI in retail and customer analytics market in Vietnam appears promising, driven by technological advancements and evolving consumer preferences. As retailers increasingly adopt AI solutions, the focus will shift towards enhancing customer experiences through personalized services and efficient operations. Furthermore, the integration of AI with emerging technologies, such as blockchain and augmented reality, is expected to reshape the retail landscape, fostering innovation and creating new business models that cater to the demands of a tech-savvy consumer base.

Market Opportunities

  • Growth of E-commerce Platforms:The e-commerce sector in Vietnam is projected to reach $23 billion by future, presenting significant opportunities for AI integration. Retailers can leverage AI to enhance user experiences, optimize logistics, and personalize marketing strategies, ultimately driving sales and customer loyalty in this rapidly expanding market.
  • Integration of AI with IoT Devices:The increasing adoption of IoT devices in Vietnam, expected to reach 50 million by future, offers a unique opportunity for retailers to utilize AI for real-time data analysis. This integration can enhance inventory management, improve customer insights, and streamline operations, positioning retailers to better meet consumer demands and improve profitability.

Scope of the Report

SegmentSub-Segments
By Type

Customer Insights Tools

Inventory Management Solutions

Sales Forecasting Software

Pricing Optimization Tools

Customer Engagement Platforms

Fraud Detection Systems

Others

By End-User

Supermarkets and Hypermarkets

Specialty Stores

E-commerce Retailers

Department Stores

Convenience Stores

Others

By Application

Customer Segmentation

Predictive Analytics

Marketing Automation

Sales Optimization

Customer Experience Management

Others

By Sales Channel

Online Sales

Offline Sales

Direct Sales

Distributors

Others

By Distribution Mode

Direct Distribution

Indirect Distribution

E-commerce Platforms

Retail Partnerships

Others

By Price Range

Budget Solutions

Mid-Range Solutions

Premium Solutions

Others

By Customer Type

B2B Customers

B2C Customers

Government Entities

Others

Key Target Audience

Investors and Venture Capitalist Firms

Government and Regulatory Bodies (e.g., Ministry of Industry and Trade, Ministry of Information and Communications)

Retail Chains and Supermarket Operators

Logistics and Supply Chain Companies

Technology Providers and Software Developers

Data Analytics Firms

Advertising and Marketing Agencies

Financial Institutions and Banks

Players Mentioned in the Report:

FPT Corporation

Viettel Group

CMC Corporation

MobiFone

VinGroup

TMA Solutions

VNG Corporation

VCCorp

Momo

ZaloPay

Sendo

Shopee

Lazada

Tiki

Tiki.vn

Table of Contents

Market Assessment Phase

1. Executive Summary and Approach


2. Vietnam AI in Retail and Customer Analytics Market Overview

2.1 Key Insights and Strategic Recommendations

2.2 Vietnam AI in Retail and Customer Analytics Market Overview

2.3 Definition and Scope

2.4 Evolution of Market Ecosystem

2.5 Timeline of Key Regulatory Milestones

2.6 Value Chain & Stakeholder Mapping

2.7 Business Cycle Analysis

2.8 Policy & Incentive Landscape


3. Vietnam AI in Retail and Customer Analytics Market Analysis

3.1 Growth Drivers

3.1.1 Increasing Consumer Demand for Personalization
3.1.2 Adoption of Omnichannel Retail Strategies
3.1.3 Advancements in Data Analytics Technologies
3.1.4 Government Support for Digital Transformation

3.2 Market Challenges

3.2.1 Data Privacy Concerns
3.2.2 High Implementation Costs
3.2.3 Lack of Skilled Workforce
3.2.4 Resistance to Change from Traditional Retailers

3.3 Market Opportunities

3.3.1 Growth of E-commerce Platforms
3.3.2 Integration of AI with IoT Devices
3.3.3 Expansion of Mobile Payment Solutions
3.3.4 Rising Investment in Retail Technology Startups

3.4 Market Trends

3.4.1 Increasing Use of Predictive Analytics
3.4.2 Shift Towards Customer-Centric Business Models
3.4.3 Enhanced Focus on Sustainability in Retail
3.4.4 Growth of AI-Powered Chatbots for Customer Service

3.5 Government Regulation

3.5.1 Data Protection Laws
3.5.2 E-commerce Regulations
3.5.3 AI Ethics Guidelines
3.5.4 Tax Incentives for Technology Adoption

4. SWOT Analysis


5. Stakeholder Analysis


6. Porter's Five Forces Analysis


7. Vietnam AI in Retail and Customer Analytics Market Market Size, 2019-2024

7.1 By Value

7.2 By Volume

7.3 By Average Selling Price


8. Vietnam AI in Retail and Customer Analytics Market Segmentation

8.1 By Type

8.1.1 Customer Insights Tools
8.1.2 Inventory Management Solutions
8.1.3 Sales Forecasting Software
8.1.4 Pricing Optimization Tools
8.1.5 Customer Engagement Platforms
8.1.6 Fraud Detection Systems
8.1.7 Others

8.2 By End-User

8.2.1 Supermarkets and Hypermarkets
8.2.2 Specialty Stores
8.2.3 E-commerce Retailers
8.2.4 Department Stores
8.2.5 Convenience Stores
8.2.6 Others

8.3 By Application

8.3.1 Customer Segmentation
8.3.2 Predictive Analytics
8.3.3 Marketing Automation
8.3.4 Sales Optimization
8.3.5 Customer Experience Management
8.3.6 Others

8.4 By Sales Channel

8.4.1 Online Sales
8.4.2 Offline Sales
8.4.3 Direct Sales
8.4.4 Distributors
8.4.5 Others

8.5 By Distribution Mode

8.5.1 Direct Distribution
8.5.2 Indirect Distribution
8.5.3 E-commerce Platforms
8.5.4 Retail Partnerships
8.5.5 Others

8.6 By Price Range

8.6.1 Budget Solutions
8.6.2 Mid-Range Solutions
8.6.3 Premium Solutions
8.6.4 Others

8.7 By Customer Type

8.7.1 B2B Customers
8.7.2 B2C Customers
8.7.3 Government Entities
8.7.4 Others

9. Vietnam AI in Retail and Customer Analytics Market Competitive Analysis

9.1 Market Share of Key Players

9.2 Cross Comparison of Key Players

9.2.1 Company Name
9.2.2 Group Size (Large, Medium, or Small as per industry convention)
9.2.3 Revenue Growth Rate
9.2.4 Customer Retention Rate
9.2.5 Market Penetration Rate
9.2.6 Pricing Strategy
9.2.7 Product Innovation Rate
9.2.8 Customer Satisfaction Score
9.2.9 Operational Efficiency Ratio
9.2.10 Brand Recognition Index

9.3 SWOT Analysis of Top Players

9.4 Pricing Analysis

9.5 Detailed Profile of Major Companies

9.5.1 FPT Corporation
9.5.2 Viettel Group
9.5.3 CMC Corporation
9.5.4 MobiFone
9.5.5 VinGroup
9.5.6 TMA Solutions
9.5.7 VNG Corporation
9.5.8 VCCorp
9.5.9 Momo
9.5.10 ZaloPay
9.5.11 Sendo
9.5.12 Shopee
9.5.13 Lazada
9.5.14 Tiki
9.5.15 Tiki.vn

10. Vietnam AI in Retail and Customer Analytics Market End-User Analysis

10.1 Procurement Behavior of Key Ministries

10.1.1 Budget Allocation Trends
10.1.2 Decision-Making Processes
10.1.3 Vendor Selection Criteria

10.2 Corporate Spend on Infrastructure & Energy

10.2.1 Investment Priorities
10.2.2 Spending Patterns
10.2.3 Budget Constraints

10.3 Pain Point Analysis by End-User Category

10.3.1 Technology Integration Issues
10.3.2 Data Management Challenges
10.3.3 Customer Engagement Difficulties

10.4 User Readiness for Adoption

10.4.1 Training and Support Needs
10.4.2 Technology Familiarity
10.4.3 Change Management Readiness

10.5 Post-Deployment ROI and Use Case Expansion

10.5.1 Performance Metrics
10.5.2 Scalability Potential
10.5.3 Long-term Value Realization

11. Vietnam AI in Retail and Customer Analytics Market Future Size, 2025-2030

11.1 By Value

11.2 By Volume

11.3 By Average Selling Price


Go-To-Market Strategy Phase

1. Whitespace Analysis + Business Model Canvas

1.1 Market Gaps Identification

1.2 Business Model Framework


2. Marketing and Positioning Recommendations

2.1 Branding Strategies

2.2 Product USPs


3. Distribution Plan

3.1 Urban Retail Strategies

3.2 Rural NGO Tie-ups


4. Channel & Pricing Gaps

4.1 Underserved Routes

4.2 Pricing Bands


5. Unmet Demand & Latent Needs

5.1 Category Gaps

5.2 Consumer Segments


6. Customer Relationship

6.1 Loyalty Programs

6.2 After-sales Service


7. Value Proposition

7.1 Sustainability Initiatives

7.2 Integrated Supply Chains


8. Key Activities

8.1 Regulatory Compliance

8.2 Branding Efforts

8.3 Distribution Setup


9. Entry Strategy Evaluation

9.1 Domestic Market Entry Strategy

9.1.1 Product Mix Considerations
9.1.2 Pricing Band Strategy
9.1.3 Packaging Approaches

9.2 Export Entry Strategy

9.2.1 Target Countries
9.2.2 Compliance Roadmap

10. Entry Mode Assessment

10.1 Joint Ventures

10.2 Greenfield Investments

10.3 Mergers & Acquisitions

10.4 Distributor Model


11. Capital and Timeline Estimation

11.1 Capital Requirements

11.2 Timelines for Implementation


12. Control vs Risk Trade-Off

12.1 Ownership Considerations

12.2 Partnerships Evaluation


13. Profitability Outlook

13.1 Breakeven Analysis

13.2 Long-term Sustainability


14. Potential Partner List

14.1 Distributors

14.2 Joint Ventures

14.3 Acquisition Targets


15. Execution Roadmap

15.1 Phased Plan for Market Entry

15.1.1 Market Setup
15.1.2 Market Entry
15.1.3 Growth Acceleration
15.1.4 Scale & Stabilize

15.2 Key Activities and Milestones

15.2.1 Activity Planning
15.2.2 Milestone Tracking

Research Methodology

ApproachModellingSample

Phase 1: Approach1

Desk Research

  • Analysis of industry reports from Vietnamese retail associations and market research firms
  • Review of government publications on AI adoption in retail and customer analytics
  • Examination of academic journals and white papers focusing on AI technologies in the retail sector

Primary Research

  • Interviews with retail executives and decision-makers in AI implementation
  • Surveys targeting data analysts and customer experience managers in retail
  • Focus groups with consumers to understand perceptions of AI in retail

Validation & Triangulation

  • Cross-validation of findings through multiple expert interviews and industry reports
  • Triangulation of data from primary and secondary sources to ensure consistency
  • Sanity checks through feedback from a panel of industry experts

Phase 2: Market Size Estimation1

Top-down Assessment

  • Estimation of the overall retail market size in Vietnam and its growth trajectory
  • Segmentation of the market by AI applications such as customer analytics, inventory management, and personalized marketing
  • Incorporation of macroeconomic factors influencing retail technology adoption

Bottom-up Modeling

  • Collection of data from leading retail companies on their AI spending and implementation rates
  • Estimation of market size based on the number of retail outlets and their average technology investment
  • Analysis of customer engagement metrics to quantify the impact of AI on sales

Forecasting & Scenario Analysis

  • Development of predictive models using historical data on AI adoption rates in retail
  • Scenario analysis based on varying levels of consumer acceptance and regulatory changes
  • Projections of market growth under different economic conditions through 2030

Phase 3: CATI Sample Composition1

Scope Item/SegmentSample SizeTarget Respondent Profiles
AI in Customer Analytics150Marketing Managers, Data Analysts
AI for Inventory Management100Supply Chain Managers, Operations Directors
Personalized Marketing Strategies80Brand Managers, Customer Experience Leaders
Consumer Perception of AI120General Consumers, Focus Group Participants
Retail Technology Adoption Trends90IT Managers, Retail Executives

Frequently Asked Questions

What is the current value of the Vietnam AI in Retail and Customer Analytics Market?

The Vietnam AI in Retail and Customer Analytics Market is valued at approximately USD 1.2 billion, reflecting significant growth driven by the adoption of AI technologies in retail operations and the increasing demand for personalized shopping experiences.

What are the key drivers of growth in the Vietnam AI in Retail Market?

Which cities are leading in the Vietnam AI in Retail Market?

What challenges does the Vietnam AI in Retail Market face?

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