Vietnam artificial intelligence market size reached USD 752.5 Million in 2024. Looking forward, IMARC Group expects the market to reach USD 2,806.7 Million by 2033, exhibiting a growth rate (CAGR) of 14.96% during 2025-2033. The increasing digitalization of Vietnamese businesses, rising e-commerce activities, the implementation of favorable governmental policies, growing technology application in the healthcare sector, establishment of smart cities, and the rising collaboration between educational institutions and tech companies represent some of the key factors driving the market.

IMARC Group provides an analysis of the key trends in each segment of the market, along with forecasts at the country level for 2025-2033. Our report has categorized the market based on component, technology, and industry.

In 2023, around ***** researches on Artificial Intelligence (AI) were published in Vietnam, indicating a slight decrease in the number of research publications on this topic from the year before. In the last decade, the number of publications on AI in the country had been growing year after year.

In Vietnam Artificial Intelligence in Healthcare Market, offering valuable insights, key market trends, competitive landscape, and future outlook to support strategic decision.

In Vietnam Artificial Intelligence in Agriculture Market, offering valuable insights, key market trends, competitive landscape, and future outlook to support strategic decision.

The Vietnam Artificial Intelligence As A Service (AIaaS) market is poised for substantial growth, with healthcare, manufacturing, and retail sector.

As of May 2024, OKXE Inc. was the leading Artificial Intelligence (AI) startup in Vietnam, with a total capital investment value of ** million U.S. dollars. The value of venture capital investment in AI in Vietnam peaked in 2021, reaching ** million U.S. dollars.

Vietnam Artificial Intelligence (AI) Networks Market is valued at USD 755 million, driven by adoption in healthcare, finance, and manufacturing with government investments boosting growth.

In 2023, Vietnam ranked **th place globally in the Government AI Readiness Index, indicating a downgrade of the country's ranking in this index from the year before. The Government AI Readiness Index aims to explore how ready a government is when it comes to the implementation of Artificial Intelligence in delivering public services to their citizens. It looks at the governmental and technological process of a country that contributes to the AI readiness.

In Vietnam Artificial Intelligence In Drug Discovery Market , was valued at approximately USD 10.11 billion in 2022 and is projected to reach USD 12.45 billion by 2029,

In 2023, the value of venture capital investments into Artificial Intelligence in Vietnam reached ** million U.S. dollars. In that year, there were ten capital investments in Artificial Intelligence in the country.

For ** percent of surveyed Vietnamese artificial intelligence (AI) companies, the main challenge was market adoption which results from the talent shortage, existing competitive market and technical uncertainty in the field. In general, AI market adoption faces strategic, technological and resource challenges.

IntroductionIn this study, we developed a simplified artificial intelligence to support the clinical decision-making of medical personnel in a resource-limited setting.MethodsWe selected seven infectious disease categories that impose a heavy disease burden in the central Vietnam region: mosquito-borne disease, acute gastroenteritis, respiratory tract infection, pulmonary tuberculosis, sepsis, primary nervous system infection, and viral hepatitis. We developed a set of questionnaires to collect information on the current symptoms and history of patients suspected to have infectious diseases. We used data collected from 1,129 patients to develop and test a diagnostic model. We used XGBoost, LightGBM, and CatBoost algorithms to create artificial intelligence for clinical decision support. We used a 4-fold cross-validation method to validate the artificial intelligence model. After 4-fold cross-validation, we tested artificial intelligence models on a separate test dataset and estimated diagnostic accuracy for each model.ResultsWe recruited 1,129 patients for final analyses. Artificial intelligence developed by the CatBoost algorithm showed the best performance, with 87.61% accuracy and an F1-score of 87.71. The F1-score of the CatBoost model by disease entity ranged from 0.80 to 0.97. Diagnostic accuracy was the lowest for sepsis and the highest for central nervous system infection.ConclusionSimplified artificial intelligence could be helpful in clinical decision support in settings with limited resources.

In 2021, Ha Noi University of Science and Technology published *** research on Artificial Intelligence (AI), making it the institution with the most AI publications in Vietnam that year. Ton Duc Thang University followed with over *** publications in the same research field.

In US Artificial Intelligence in Healthcare Market, offering valuable insights, key market trends, competitive landscape, and future outlook to support strategic decision.

Vietnam chatbot market size reached USD 31.2 Million in 2024. Looking forward, IMARC Group expects the market to reach USD 207.1 Million by 2033, exhibiting a growth rate (CAGR) of 18.50% during 2025-2033. The market is being driven by several key factors, including an increasing need for improved customer service, a rising trend in using messaging platforms to offer efficient customer solutions, and a growing uptake of over-the-top (OTT) platforms for streaming movies, series, and documentaries.

IMARC Group provides an analysis of the key trends in each segment of the market, along with forecasts at the country level for 2025-2033. Our report has categorized the market based on type, product, application, organization size, and vertical.

In 2023, there were *** capital investments in Artificial Intelligence (AI) in Vietnam. In that year, the investment value of this segment of the country reached a peak of ** million U.S. dollars.

Background: This study aimed to develop a theoretical model to explore the behavioral intentions of medical students to adopt an AI-based Diagnosis Support System.Methods: This online cross-sectional survey used the unified theory of user acceptance of technology (UTAUT) to examine the intentions to use an AI-based Diagnosis Support System in 211 undergraduate medical students in Vietnam. Partial least squares (PLS) structural equational modeling was employed to assess the relationship between latent constructs.Results: Effort expectancy (β = 0.201, p < 0.05) and social influence (β = 0.574, p < 0.05) were positively associated with initial trust, while no association was found between performance expectancy and initial trust (p > 0.05). Only social influence (β = 0.527, p < 0.05) was positively related to the behavioral intention.Conclusions: This study highlights positive behavioral intentions in using an AI-based diagnosis support system among prospective Vietnamese physicians, as well as the effect of social influence on this choice. The development of AI-based competent curricula should be considered when reforming medical education in Vietnam.

The Vietnam ICT market exhibits robust growth, projected to reach $8.30 billion in 2025, expanding at a Compound Annual Growth Rate (CAGR) of 9.92% from 2025 to 2033. This significant expansion is fueled by several key drivers. Firstly, increasing government initiatives promoting digital transformation and infrastructure development are laying a solid foundation for technological advancements. Secondly, the rapid growth of e-commerce and digital services within the BFSI (Banking, Financial Services, and Insurance), IT & Telecom, and retail sectors is creating substantial demand for ICT solutions. Furthermore, a burgeoning young population with high smartphone penetration and internet usage is driving the adoption of advanced technologies. The market is segmented by type (hardware including network switches, routers, servers, and storage; software; IT and infrastructure services encompassing cloud solutions; and telecommunication services) and by industry vertical (BFSI, IT & Telecom, Government, Retail & E-commerce, Manufacturing, Energy & Utilities, and others). Leading players like Microsoft, Cisco, Viettel, and Qualcomm are actively shaping the market landscape through strategic investments and technological innovation. However, challenges remain, including infrastructure limitations in certain regions and the need for continuous skills development to support the growing technological demands. The forecast period of 2025-2033 promises continued expansion, driven by rising disposable incomes and increased government spending on digital infrastructure projects. This growth will likely be most pronounced in segments like cloud computing and software, reflecting the global shift towards digitalization. While challenges like cybersecurity threats and the digital divide need to be addressed, the overall outlook for the Vietnam ICT market remains positive, with substantial opportunities for both domestic and international players. The strong government support for digitalization, coupled with the dynamic private sector, ensures a favorable environment for sustained growth throughout the forecast period. The continuing expansion of 4G and 5G networks will further boost the market's growth potential, particularly within the telecommunication services sector. Recent developments include: July 2024: Google and the Vietnam National Innovation Centre (NIC) launched the 'Build for the AI Future' initiative to address challenges and promote comprehensive AI development in Vietnam. This comprehensive program was designed to accelerate the country's progress in AI through two strategies, including building talent and start-ups., April 2024: Alibaba, the global cloud service provider, announced plans to build a data center in Vietnam to store data locally due to compliance with legal requirements. The company relies on government-owned facilities.. Key drivers for this market are: Rising Smart City Initiatives Leading to Revamp of Technology Infrastructure, Digital Transformation and Industrial Automation; Increasing Investment on Key Technologies (Cloud Technology and Artificial Intelligence). Potential restraints include: Rising Smart City Initiatives Leading to Revamp of Technology Infrastructure, Digital Transformation and Industrial Automation; Increasing Investment on Key Technologies (Cloud Technology and Artificial Intelligence). Notable trends are: IT and Infrastructure Services (Including Cloud) Are Expected to Drive the Market.

In 2023, the value of venture capital investments into Artificial Intelligence (AI) startups in the financial and insurance services industry in Vietnam reached *** million U.S. dollars. In that year, the total investment value in this segment in the country amounted to ** million U.S. dollars.

This dataset offers comprehensive insights into the perspectives of Natural Science teachers in Vietnam on the integration of Artificial Intelligence (AI) into their instructional practices, as reported by 7,877 lower secondary school teachers from 11 provinces across the country. Five key dimensions were explored from the teachers’ perspectives: (1) teachers’ perceptions of AI and its benefits; (2) frequency of AI tool usage in teaching; (3) evaluation of AI's effectiveness in supporting instructional practices; (4) Challenges encountered; and (5) teachers' desires and recommendations for enhancing the effectiveness of AI application in teaching. This dataset is valuable for researchers, educators, policymakers, and curriculum developers as a basis for identifying training needs and developing strategies for effective AI integration in lower secondary schools. Moreover, it may benefit broader educational research communities, offering a reference point for investigating AI adoption in science education at other educational levels and subjects within the K–12 system.