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Vietnam Causal AI Market

Publisher Ken Research
Published Oct 28, 2025
Length 90 Pages
SKU # AMPS20597579

Description

Vietnam Causal AI Market Overview

The Vietnam Causal AI Market is valued at USD 55 million, based on a five-year historical analysis. This growth is primarily driven by the increasing adoption of AI technologies across sectors such as healthcare, finance, manufacturing, and retail, as organizations seek to leverage data for better decision-making, operational efficiency, and competitive advantage. The surge in demand for explainable AI, regulatory compliance, and the need for actionable business insights further accelerates market expansion .

Key cities such as Ho Chi Minh City and Hanoi dominate the market due to their robust technological infrastructure, a high concentration of tech startups, and significant investments in digital transformation initiatives. These urban centers are pivotal in fostering innovation, attracting AI talent, and serving as hubs for both domestic and international AI solution providers .

The "National Strategy on Research, Development and Application of Artificial Intelligence until 2030" issued by the Prime Minister of Vietnam in 2021, and administered by the Ministry of Science and Technology, mandates a comprehensive framework for AI development. This includes a dedicated budget for AI research and development, incentives for AI startups, and clear compliance requirements for data privacy and ethical AI deployment .

Vietnam Causal AI Market Segmentation

By Technology:

The technology segment of the market includes various sub-segments such as Causal Inference Engines, Structural Causal Models (SCM), Counterfactual Simulation Tools, Graph-Based Causal Modeling, and Other Technologies. Among these,

Causal Inference Engines

are leading due to their ability to provide actionable insights from complex data sets, which is crucial for businesses aiming to optimize their operations and strategies. The demand for explainable and transparent AI models, especially in regulated industries, is driving adoption of these technologies .

By End-Use Industry:

The end-use industry segment encompasses Healthcare & Life Sciences, Financial Services, Retail & E-commerce, Manufacturing, Government & Public Sector, Technology & IT Services, and Others. The

Healthcare & Life Sciences

sector is currently the dominant segment, driven by the increasing need for precision medicine, improved patient outcomes, and regulatory requirements for transparency in AI-driven diagnostics and treatment recommendations. Financial services and retail are also rapidly adopting causal AI to enhance fraud detection, risk management, and personalized marketing .

Vietnam Causal AI Market Competitive Landscape

The Vietnam Causal AI Market is characterized by a dynamic mix of regional and international players. Leading participants such as FPT Corporation, Viettel Group, CMC Corporation, MobiFone, VNPT (Vietnam Posts and Telecommunications Group), TMA Solutions, VNG Corporation, VCCorp (Vietnam Communications Corporation), NextTech Group, VinaSource, CMC Telecom, Bkav Corporation, MISA JSC, Zalo (VNG Digital Services), VinAI Research (Vingroup) 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

VNPT

1995

Hanoi, Vietnam

Company

Establishment Year

Headquarters

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

Revenue Growth Rate

Number of Causal AI Deployments

Customer Acquisition Cost

Customer Retention Rate

Market Penetration Rate (Vietnam Causal AI Market)

Vietnam Causal AI Market Industry Analysis

Growth Drivers

Increasing Demand for Data-Driven Decision Making:

The Vietnamese economy is projected to grow by

6.6%

in future, driving businesses to adopt data-driven strategies. Companies are increasingly leveraging data analytics to enhance operational efficiency, with a reported

70%

of firms investing in data analytics tools. This trend is fueled by the need for real-time insights, enabling organizations to make informed decisions that align with market demands and consumer preferences, thus propelling the Causal AI market forward.

Expansion of Digital Infrastructure:

Vietnam's digital economy is expected to reach

$57 billion

in future, supported by significant investments in digital infrastructure. The government has allocated approximately

$1.5 billion

for enhancing internet connectivity and data centers. This expansion facilitates the deployment of Causal AI technologies, allowing businesses to harness vast amounts of data effectively. Improved infrastructure is crucial for enabling AI applications across various sectors, including finance, retail, and healthcare, thereby driving market growth.

Rising Investments in AI Technologies:

In future, Vietnam is anticipated to invest over

$1 billion

in AI technologies, reflecting a growing recognition of AI's potential. This investment is supported by both private and public sectors, with major tech firms establishing AI research centers in the country. The influx of capital is expected to accelerate the development of Causal AI solutions, enhancing their applicability in various industries, including manufacturing and logistics, thus fostering market expansion.

Market Challenges

Lack of Skilled Workforce in AI:

Vietnam faces a significant skills gap in AI, with an estimated shortage of

300,000

AI professionals in future. This shortage hampers the effective implementation of Causal AI technologies across industries. Educational institutions are struggling to keep pace with the rapid technological advancements, resulting in a workforce that lacks the necessary expertise. This challenge poses a barrier to the widespread adoption of AI solutions, limiting market growth potential.

Data Privacy and Security Concerns:

With the rise of AI technologies, data privacy and security have become critical issues in Vietnam. The country has seen a

40%

increase in cyberattacks in future, raising concerns among businesses regarding data protection. The lack of robust regulatory frameworks further complicates the situation, as companies hesitate to adopt Causal AI solutions due to fears of data
eaches and non-compliance with emerging data protection laws, thereby stifling market growth.

Vietnam Causal AI Market Future Outlook

The future of the Vietnam Causal AI market appears promising, driven by ongoing advancements in technology and increasing digitalization across sectors. As businesses continue to recognize the value of AI in enhancing operational efficiency and customer engagement, the demand for Causal AI solutions is expected to rise. Furthermore, collaboration with international AI firms will likely foster innovation and knowledge transfer, positioning Vietnam as a competitive player in the global AI landscape, while addressing local challenges through tailored solutions.

Market Opportunities

Growth in E-Commerce and Online Services:

The e-commerce sector in Vietnam is projected to reach

$35 billion

in future, creating significant opportunities for Causal AI applications. Businesses can leverage AI to optimize supply chains, enhance customer experiences, and personalize marketing strategies, thus driving growth in this rapidly expanding market segment.

Potential for AI in Healthcare Applications:

Vietnam's healthcare expenditure is expected to increase to

$20 billion

in future, presenting opportunities for Causal AI in diagnostics and patient management. AI technologies can improve healthcare delivery, streamline operations, and enhance patient outcomes, making it a vital area for investment and development in the coming years.

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Table of Contents

90 Pages
1. Vietnam Causal AI Market Overview
1.1. Definition and Scope
1.2. Market Taxonomy
1.3. Market Growth Rate
1.4. Market Segmentation Overview
2. Vietnam Causal AI Market Size (in USD Bn), 2019–2024
2.1. Historical Market Size
2.2. Year-on-Year Growth Analysis
2.3. Key Market Developments and Milestones
3. Vietnam Causal AI Market Analysis
3.1. Growth Drivers
3.1.1. Increasing demand for data-driven decision making
3.1.2. Expansion of digital infrastructure
3.1.3. Rising investments in AI technologies
3.1.4. Government initiatives promoting AI adoption
3.2. Restraints
3.2.1. Lack of skilled workforce in AI
3.2.2. Data privacy and security concerns
3.2.3. High implementation costs
3.2.4. Limited awareness of Causal AI benefits
3.3. Opportunities
3.3.1. Growth in e-commerce and online services
3.3.2. Potential for AI in healthcare applications
3.3.3. Development of smart city projects
3.3.4. Collaboration with international AI firms
3.4. Trends
3.4.1. Increasing integration of AI with IoT
3.4.2. Adoption of AI in customer service automation
3.4.3. Focus on ethical AI practices
3.4.4. Rise of AI-driven analytics platforms
3.5. Government Regulation
3.5.1. Data protection laws and compliance
3.5.2. AI research funding initiatives
3.5.3. Guidelines for AI usage in public sectors
3.5.4. Regulations on AI transparency and accountability
3.6. SWOT Analysis
3.7. Stakeholder Ecosystem
3.8. Competition Ecosystem
4. Vietnam Causal AI Market Segmentation, 2024
4.1. By Technology (in Value %)
4.1.1. Causal Inference Engines
4.1.2. Structural Causal Models (SCM)
4.1.3. Counterfactual Simulation Tools
4.1.4. Graph-Based Causal Modeling
4.1.5. Others
4.2. By End-Use Industry (in Value %)
4.2.1. Healthcare & Life Sciences
4.2.2. Financial Services
4.2.3. Retail & E-commerce
4.2.4. Manufacturing
4.2.5. Government & Public Sector
4.2.6. Technology & IT Services
4.2.7. Others
4.3. By Application (in Value %)
4.3.1. Fraud Detection & Risk Management
4.3.2. Customer Insights & Personalization
4.3.3. Supply Chain Optimization
4.3.4. Marketing Automation & Campaign Optimization
4.3.5. Policy Impact Analysis
4.3.6. Precision Medicine & Treatment Optimization
4.3.7. Others
4.4. By Deployment Model (in Value %)
4.4.1. On-Premises
4.4.2. Cloud-Based
4.4.3. Hybrid
4.5. By Company Size (in Value %)
4.5.1. Small Enterprises
4.5.2. Medium Enterprises
4.5.3. Large Enterprises
4.6. By Pricing Model (in Value %)
4.6.1. Subscription-Based
4.6.2. Pay-Per-Use
4.6.3. One-Time License Fee
4.6.4. Others
5. Vietnam Causal AI Market Cross Comparison
5.1. Detailed Profiles of Major Companies
5.1.1. FPT Corporation
5.1.2. Viettel Group
5.1.3. CMC Corporation
5.1.4. MobiFone
5.1.5. VNPT (Vietnam Posts and Telecommunications Group)
5.2. Cross Comparison Parameters
5.2.1. Revenue
5.2.2. Number of Employees
5.2.3. Headquarters Location
5.2.4. Inception Year
5.2.5. Market Penetration Rate
6. Vietnam Causal AI Market Regulatory Framework
6.1. Industry Standards
6.2. Compliance Requirements and Audits
6.3. Certification Processes
7. Vietnam Causal AI Market Future Size (in USD Bn), 2025–2030
7.1. Future Market Size Projections
7.2. Key Factors Driving Future Market Growth
8. Vietnam Causal AI Market Future Segmentation, 2030
8.1. By Technology (in Value %)
8.2. By End-Use Industry (in Value %)
8.3. By Application (in Value %)
8.4. By Deployment Model (in Value %)
8.5. By Company Size (in Value %)
8.6. By Region (in Value %)
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