Vietnam Artificial Intelligence in Healthcare Market Size, Share, Trends and Forecast by Offering, Technology, Application, End User, and Region, 2026-2034

Vietnam Artificial Intelligence in Healthcare Market Summary:

The Vietnam artificial intelligence in healthcare market size reached USD 1,784.01 Thousand in 2025. The market is projected to reach USD 22,479.54 Thousand by 2034, growing at a CAGR of 32.52% during 2026-2034. The market is driven by ambitious government-led digital transformation initiatives and strategic national AI policies that position healthcare as a priority sector for technological adoption. Moreover, the rapid expansion of AI-powered diagnostic tools and healthcare platforms, coupled with extensive training programs for medical professionals, is supporting the market growth. Additionally, the increasing establishment of public-private partnerships between international technology giants and Vietnamese healthcare institutions is expanding the Vietnam artificial intelligence in healthcare market share.

Vietnam Artificial Intelligence in Healthcare Market Outlook (2026-2034):

The Vietnam artificial intelligence in healthcare market is positioned for accelerated growth, driven by comprehensive government strategies to modernize the healthcare system through digital transformation and AI adoption. The establishment of national AI research centers, coupled with substantial investments in healthcare digitalization infrastructure totaling approximately USD 1.26 billion in 2024, is expected to catalyze innovation. Additionally, the growing burden of non-communicable diseases and an aging population are creating urgent demand for AI-powered diagnostic tools, telemedicine platforms, and predictive analytics systems that can enhance early disease detection and treatment efficiency throughout the forecast period.

Impact of AI:

Artificial intelligence is fundamentally transforming Vietnam's healthcare landscape by enabling advanced diagnostic capabilities, optimizing clinical workflows, and supporting predictive healthcare delivery models. AI technologies are being integrated into medical imaging analysis, electronic health record systems, and patient monitoring platforms to enhance diagnostic accuracy and reduce physician workload. As Vietnam pursues its 2045 vision of achieving high-income nation status, AI is recognized as a critical enabler for improving healthcare quality, expanding access to medical services in remote areas, and positioning Vietnam as a regional hub for AI-driven clinical trials and pharmaceutical development within Southeast Asia.

Market Dynamics:

Key Market Trends & Growth Drivers:

Government-Led Digital Transformation and National AI Strategy Implementation

The Vietnamese government has positioned artificial intelligence as a cornerstone of national healthcare modernization through comprehensive policy frameworks and substantial financial commitments. The Ministry of Health has implemented Decision 5316/QD-BYT, which establishes a strategic roadmap for digital transformation in healthcare through 2030, emphasizing electronic medical records, smart health information technology systems, and AI integration across clinical and administrative functions. The National Digital Transformation Program allocates funds specifically for healthcare digitalization, targeting electronic health record coverage and comprehensive AI deployment in diagnostics and treatment optimization. These initiatives are complemented by Resolution 57-NQ/TW, which identifies science, technology, and digital transformation as breakthrough priorities for national development. The government has set ambitious targets to position Vietnam among the top leading AI nations in Southeast Asia as well as globally in AI research and development by 2030. In July 2025, the Vietnamese Ministry of Health launched the "AI Opportunities for Healthcare Workers" initiative to train at least 15,000 healthcare professionals between 2025 and 2026 in artificial intelligence applications, equipping the medical workforce with necessary skills to lead the sector's digital transformation. This comprehensive approach to workforce development, infrastructure investment, and regulatory framework establishment is creating an enabling environment that accelerates AI adoption across public and private healthcare institutions, directly supporting the Vietnam artificial intelligence in healthcare market growth.

Expansion of AI-Powered Healthcare Infrastructure and Services

Vietnam is experiencing rapid proliferation of AI-enabled healthcare technologies and platforms designed to address critical gaps in diagnostic capabilities and treatment efficiency. Leading technology corporations including FPT, Viettel, and VinGroup have established dedicated AI research centers and deployed practical healthcare solutions across major hospitals and medical facilities. AI applications are being implemented in medical imaging analysis, where machine learning algorithms support radiologists in detecting abnormalities in CT scans, MRIs, and X-rays with enhanced accuracy. Virtual nursing assistants and administrative workflow automation tools are reducing operational burdens on healthcare staff, enabling more time for direct patient care. The development of AI-powered clinical decision support systems is improving treatment planning and medication management, particularly for complex conditions requiring multidisciplinary approaches. These platforms, developed with advanced large language models trained on real medical data from multiple hospital departments, demonstrate the practical application of AI in streamlining clinical workflows. The proliferation of such technologies across Vietnam's healthcare ecosystem is transforming service delivery models and establishing new standards for diagnostic precision and patient care quality.

Growing Public-Private Partnerships and International Collaborations

Strategic partnerships between Vietnamese healthcare institutions, domestic technology corporations, and international AI leaders are catalyzing innovation and accelerating market development. These collaborations combine Vietnam's growing technological talent pool with global expertise in AI development and healthcare applications. Major international technology companies are establishing research and development centers in Vietnam, recognizing the country's potential as a regional hub for AI innovation. FPT Corporation, Vietnam's largest technology services provider, has outlined comprehensive AI roadmaps for the pharmaceutical sector through 2028, including centralized data systems, AI laboratory pilots, and blockchain integration to combat counterfeit medications. The company's Healthcare Innovation Forum brings together government officials, healthcare providers, pharmaceutical companies, and technology partners to advance digital transformation objectives. These partnerships are facilitating technology transfer, providing access to advanced computing infrastructure, and enabling Vietnamese researchers and healthcare professionals to participate in cutting-edge AI development projects that will shape the future of healthcare delivery throughout Southeast Asia.

Key Market Challenges:

Data Quality Limitations and Infrastructure Disparities

The effective deployment of artificial intelligence in healthcare fundamentally depends on access to large-scale, high-quality datasets for training and validating AI algorithms, a requirement that presents significant challenges in Vietnam's current healthcare landscape. Many healthcare facilities, particularly in rural and provincial areas, continue to rely on paper-based record-keeping systems or maintain inconsistent digital data storage practices that complicate data extraction and aggregation efforts. The absence of standardized data collection protocols across different hospitals and medical centers results in heterogeneous datasets with varying levels of completeness, accuracy, and format consistency. This fragmentation hinders the development of robust AI models capable of generalizing across diverse patient populations and clinical scenarios. The lack of unified national frameworks for meaningful and secure clinical data exchange compounds these difficulties, as hospitals and research institutions struggle to share information while ensuring patient privacy and regulatory compliance. Building comprehensive, representative datasets requires substantial resources for data cleaning, standardization, annotation, and labeling, particularly when collecting images and clinical information from multiple centers with different equipment specifications and documentation practices. Until Vietnam establishes robust data governance frameworks, interoperability standards, and equitable infrastructure investments across all healthcare facilities, the full potential of AI technologies will remain constrained, particularly for applications requiring diverse training data to ensure equitable performance across different demographic groups and geographic regions.

Shortage of Qualified AI-Healthcare Professionals

Vietnam confronts a critical shortage of professionals possessing interdisciplinary expertise in both healthcare and artificial intelligence, a gap that significantly impedes the effective development, deployment, and maintenance of AI systems in clinical settings. The successful integration of AI into healthcare requires specialists who can bridge the technical complexities of machine learning, data science, and algorithm development with deep understanding of clinical workflows, medical terminology, diagnostic processes, and patient care protocols. Currently, Vietnam has limited numbers of such interdisciplinary experts capable of translating clinical needs into technical specifications, evaluating AI system outputs within proper medical contexts, and ensuring that deployed technologies align with established medical standards and ethical principles. Healthcare professionals, including doctors, nurses, and radiologists, often lack formal training in AI technologies, data analytics, and digital tools, limiting their ability to effectively utilize AI-powered diagnostic systems and interpret AI-generated insights within their clinical decision-making processes. The technology sector faces similar constraints, with insufficient numbers of AI engineers and data scientists who possess the specialized medical domain knowledge necessary to develop clinically relevant and safe AI applications. This talent gap is exacerbated by limited incentive structures for professionals to pursue interdisciplinary careers combining healthcare and technology, inadequate curriculum integration of AI topics in medical education programs, and insufficient continuing professional development opportunities for practicing clinicians. Addressing this challenge requires comprehensive reforms in medical and technical education, establishment of specialized training programs, and creation of collaborative frameworks that enable ongoing dialogue and knowledge exchange between healthcare practitioners and AI developers.

Incomplete Legal and Regulatory Framework

The rapid advancement and deployment of artificial intelligence technologies in healthcare have outpaced the development of comprehensive legal and regulatory frameworks necessary to ensure patient safety, data privacy, algorithmic accountability, and ethical AI use in Vietnam. Current regulations provide insufficient guidance on essential issues including the approval process for AI-based medical devices, certification standards for AI diagnostic tools, liability frameworks for AI-assisted clinical decisions, and mechanisms for ongoing monitoring of AI system performance in real-world clinical environments. Data privacy and security regulations, while evolving, have not fully addressed the unique challenges posed by AI systems that require access to large volumes of sensitive medical information for training and operation. The absence of clear legal standards for data sharing between healthcare institutions, research organizations, and technology companies complicates collaborative AI development efforts and creates risks of privacy breaches or unauthorized data use. Ethical concerns regarding algorithmic bias, fairness in AI-driven healthcare resource allocation, transparency in AI decision-making processes, and the appropriate balance between human clinical judgment and AI recommendations remain largely unaddressed in existing policy frameworks. Healthcare institutions and technology companies face uncertainty about compliance requirements, quality assurance obligations, and potential legal liability associated with AI deployment, which can inhibit investment and innovation. The development of robust regulatory frameworks requires balancing multiple competing priorities: fostering innovation and technological advancement while ensuring patient safety, protecting sensitive health data while enabling research and development, and establishing clear accountability structures while avoiding excessive bureaucratic burdens. Until Vietnam develops comprehensive, clear, and enforceable regulations specifically addressing AI in healthcare, the market will face obstacles related to trust, adoption, and sustainable growth.

Vietnam Artificial Intelligence in Healthcare Market Report Segmentation:

IMARC Group provides an analysis of the key trends in each segment of the Vietnam artificial intelligence in healthcare market, along with forecasts at the country and regional levels for 2026-2034. The market has been categorized based on offering, technology, application, and end user.

Analysis by Offering:

• Hardware
• Software
• Services

The report has provided a detailed breakup and analysis of the market based on the offering. This includes hardware, software, and services.

Analysis by Technology:

• Machine Learning
• Context-aware Computing
• Natural Language Processing
• Others

A detailed breakup and analysis of the market based on the technology have also been provided in the report. This includes machine learning, context-aware computing, natural language processing, and others.

Analysis by Application:

• Robot-assisted Surgery
• Virtual Nursing Assistant
• Administrative Workflow Assistance
• Fraud Detection
• Dosage Error Reduction
• Clinical Trial Participant Identifier
• Preliminary Diagnosis
• Others

The report has provided a detailed breakup and analysis of the market based on the application. This includes robot-assisted surgery, virtual nursing assistant, administrative workflow assistance, fraud detection, dosage error reduction, clinical trial participant identifier, preliminary diagnosis, and others.

Analysis by End User:

• Healthcare Providers
• Pharmaceutical and Biotechnology Companies
• Patients
• Others

A detailed breakup and analysis of the market based on the end user have also been provided in the report. This includes healthcare providers, pharmaceutical and biotechnology companies, patients, and others.

Analysis by Region:

• Northern Vietnam
• Central Vietnam
• Southern Vietnam

The report has also provided a comprehensive analysis of all the major regional markets, which include Northern Vietnam, Central Vietnam, and Southern Vietnam.

Competitive Landscape:

The Vietnam artificial intelligence in healthcare market exhibits a dynamic competitive landscape characterized by the convergence of established domestic technology conglomerates, emerging specialized AI startups, and international technology giants entering through strategic partnerships and acquisitions. Competition centers on technological capabilities, clinical validation of AI algorithms, integration with existing healthcare systems, and relationships with major hospital networks and government health agencies. Domestic leaders such as FPT, Viettel, VNPT, and VinGroup leverage their extensive technology infrastructure, substantial R&D investments, and established government relationships to deploy AI solutions across multiple healthcare applications. These companies benefit from deep understanding of local healthcare workflows, regulatory environments, and infrastructure constraints that enable tailored solution development. International players including NVIDIA, Fujifilm, and various specialized medical AI companies are establishing presence through acquisitions, joint ventures, and technology partnerships, bringing advanced algorithms, global best practices, and substantial capital resources to accelerate market development and elevate technological standards across the ecosystem.

Vietnam Artificial Intelligence in Healthcare Industry Latest Developments:

• July 2025: The Vietnam Health Summit 2025 took place in Hanoi, focusing on the theme “Big Data and Artificial Intelligence in Medical Diagnosis and Treatment.” The event, co-organized by AVSE Global and the 108 Military Central Hospital with support from VINIF, gathered over 30 international experts and 300 participants to discuss the use of AI and Big Data in healthcare innovation, clinical care, and mental health.

Vietnam Artificial Intelligence in Healthcare Market Report Coverage:

Key Questions Answered in This Report:

• How has the Vietnam artificial intelligence in healthcare market performed so far and how will it perform in the coming years?
• What is the breakup of the Vietnam artificial intelligence in healthcare market on the basis of offering?
• What is the breakup of the Vietnam artificial intelligence in healthcare market on the basis of technology?
• What is the breakup of the Vietnam artificial intelligence in healthcare market on the basis of application?
• What is the breakup of the Vietnam artificial intelligence in healthcare market on the basis of end user?
• What is the breakup of the Vietnam artificial intelligence in healthcare market on the basis of region?
• What are the various stages in the value chain of the Vietnam artificial intelligence in healthcare market?
• What are the key driving factors and challenges in the Vietnam artificial intelligence in healthcare market?
• What is the structure of the Vietnam artificial intelligence in healthcare market and who are the key players?
• What is the degree of competition in the Vietnam artificial intelligence in healthcare market?

Key Benefits for Stakeholders:

• IMARC's industry report offers a comprehensive quantitative analysis of various market segments, historical and current market trends, market forecasts, and dynamics of the Vietnam artificial intelligence in healthcare market from 2020-2034.
• The research report provides the latest information on the market drivers, challenges, and opportunities in the Vietnam artificial intelligence in healthcare market.
• Porter's five forces analysis assist stakeholders in assessing the impact of new entrants, competitive rivalry, supplier power, buyer power, and the threat of substitution. It helps stakeholders to analyze the level of competition within the Vietnam artificial intelligence in healthcare industry and its attractiveness.
• Competitive landscape allows stakeholders to understand their competitive environment and provides an insight into the current positions of key players in the market.