Vietnam Artificial Intelligence (AI) in Healthcare Market Report 2022 to 2030

Vietnam Artificial Intelligence (AI) in Healthcare Market Analysis

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Vietnam's Artificial Intelligence (AI) In Healthcare Market is projected to grow from $0.03 Bn in 2022 to $xx Bn by 2030, registering a CAGR of xx% during the forecast period of 2022-2030. The market will be driven by the improvement in regulatory frameworks and collaboration between government, industry, and academia. The market is segmented by healthcare components & by healthcare applications. Some of the major players include GE Healthcare, IBM Watson Health & VinBrain.

ID: IN10VNDH003 CATEGORY: Digital Health GEOGRAPHY: Vietnam AUTHOR: Vidhi Upadhyay

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Vietnam Artificial Intelligence (AI) In Healthcare Market Executive Summary

Vietnam's Artificial Intelligence (AI) In Healthcare Market is projected to grow from $0.03 Bn in 2022 to $xx Bn by 2030, registering a CAGR of xx% during the forecast period of 2022-30. In 2021, Vietnam turned into a lower-middle-income country with a GDP per capita of USD $3694.02. According to the International Monetary Fund's (IMF) World Economic Outlook, Vietnam's GDP in 2021 was around USD $368 billion, ranking it fifth in Southeast Asia and 41st in the world. Along with the decline in birth rates, Vietnam's ageing population is increasing the demand for healthcare services and products. According to the WHO, noncommunicable diseases (NCDs) are a growing cause of death and morbidity in Vietnam, accounting for approximately 77% of all deaths.

With growing adoption and application in recent years, Vietnam is gradually adopting the use of Artificial Intelligence (AI) in the healthcare sector. In Vietnam, artificial intelligence (AI) is being used to analyse medical images such as X-rays, CT scans, and MRIs to identify potential health problems in patients. It is additionally being utilized to analyse immense quantities of patient information to anticipate potential health problems and recommend personalised treatment plans. AI-powered robots are employed in hospitals to perform tasks such as disinfection, medication delivery, and even surgical procedures. AI-powered chatbots are being used to provide patients with personalised medical advice and support. Vietnam can become a leader in employing AI in healthcare in the Asia Pacific region by enhancing patient experiences, lowering costs, and streamlining with the right investment in infrastructure, technical expertise, and regulatory frameworks.

Vietnam Artificial Intelligence (AI) In Healthcare Market

Market Dynamics

Market Growth Drivers

According to an international ranking, Vietnam ranks 26th in the world in an AI research capacity. The gap between AI research in Vietnam and that of European countries such as Poland and Spain is not massive. The government has established policies in place to promote the creation of AI applications, such as the national strategy for researching, developing, and applying AI by 2030. According to the strategy, the country will increase AI R&D and turn the market into an important technology field in Vietnam during the Industry 4.0 revolution. There are also a large number of innovative startups that are incorporating AI into new products and services. The Intelligent Healthcare System for Vietnamese People is one of them (VAIPE) Moreover factors such as Growing demand for quality healthcare services and increasing use of digital technologies play an important role in the adoption and expansion of the market.

Market Restraints

In Vietnam, there is a lack of technical expertise in AI and data science, which may limit the implementation and utilisation of these healthcare technologies. A shortage of infrastructure, such as high-speed internet and cloud computing, can also limit AI's adoption in healthcare. The lack of regulations governing the use of AI in healthcare can create uncertainty and limit the technology's adoption. The cost of implementing AI technologies in healthcare can be prohibitively expensive, limiting their use, particularly in resource-constrained settings.

Competitive Landscape

Key Players

GE Healthcare
IBM Watson Health
VinBrain (VNM)
Viettel Group (VNM)
NVIDIA Corporation
Vingroup (VNM)
Siemens Healthineers
FPT Software (VNM)

Notable Insights

January 2023, VinBrain, an AI healthcare software company backed by Vietnam's largest conglomerate Vingroup, announced a formal collaboration with Microsoft. VinBrain will use DrAid, it's AI-powered pathology solution suite that can detect 21 disease indicators in the heart, lungs, and bone.

April 2022, KT Corp The telecom company entered into a contract with Hanoi Medical University (HMU) to conduct a pilot telemedicine service for chronic disease patients. KT and HMU will collaborate to create chronic disease management services, conduct medical AI research, and train local medical professionals in Vietnam.

1. Executive Summary
1.1 Digital Health Overview
1.2 Global Scenario
1.3 Country Overview
1.4 Healthcare Scenario in Country
1.5 Digital Health Policy in Country
1.6 Recent Developments in the Country

2. Market Size and Forecasting
2.1 Market Size (With Excel and Methodology)
2.2 Market Segmentation (Check all Segments in Segmentation Section)

3. Market Dynamics
3.1 Market Drivers
3.2 Market Restraints

4. Competitive Landscape
4.1 Major Market Share

4.2 Key Company Profile (Check all Companies in the Summary Section)

4.2.1 Company
4.2.1.1 Overview
4.2.1.2 Product Applications and Services
4.2.1.3 Recent Developments
4.2.1.4 Partnerships Ecosystem
4.2.1.5 Financials (Based on Availability)

5. Reimbursement Scenario
5.1 Reimbursement Regulation
5.2 Reimbursement Process for Diagnosis
5.3 Reimbursement Process for Treatment

6. Methodology and Scope

Artifical Intelligence (AI) in Healthcare Market Segmentation

The Artificial Intelligence (AI) in Healthcare Market is segmented as mentioned below:

By Healthcare Component (Revenue, USD Billion):

Software Solutions
Hardware
Services

By Healthcare Applications (Revenue, USD Billion):

Robot-Assisted Suregery
Virtual Assistants
Administrative Workflow Assistants
Connected Machines
Diagnosis
Clinical Trials
Fraud Detection
Cybersecurity
Dosage Error Reduction

Methodology for Database Creation

Our database offers a comprehensive list of healthcare centers, meticulously curated to provide detailed information on a wide range of specialties and services. It includes top-tier hospitals, clinics, and diagnostic facilities across 30 countries and 24 specialties, ensuring users can find the healthcare services they need.

Additionally, we provide a comprehensive list of Key Opinion Leaders (KOLs) based on your requirements. Our curated list captures various crucial aspects of the KOLs, offering more than just general information. Whether you're looking to boost brand awareness, drive engagement, or launch a new product, our extensive list of KOLs ensures you have the right experts by your side. Covering 30 countries and 36 specialties, our database guarantees access to the best KOLs in the healthcare industry, supporting strategic decisions and enhancing your initiatives.

How Do We Get It?

Our database is created and maintained through a combination of secondary and primary research methodologies.

1. Secondary Research

With many years of experience in the healthcare field, we have our own rich proprietary data from various past projects. This historical data serves as the foundation for our database. Our continuous process of gathering data involves:

Analyzing historical proprietary data collected from multiple projects.
Regularly updating our existing data sets with new findings and trends.
Ensuring data consistency and accuracy through rigorous validation processes.

With extensive experience in the field, we have developed a proprietary GenAI-based technology that is uniquely tailored to our organization. This advanced technology enables us to scan a wide array of relevant information sources across the internet. Our data-gathering process includes:

Searching through academic conferences, published research, citations, and social media platforms
Collecting and compiling diverse data to build a comprehensive and detailed database
Continuously updating our database with new information to ensure its relevance and accuracy

2. Primary Research

To complement and validate our secondary data, we engage in primary research through local tie-ups and partnerships. This process involves:

Collaborating with local healthcare providers, hospitals, and clinics to gather real-time data.
Conducting surveys, interviews, and field studies to collect fresh data directly from the source.
Continuously refreshing our database to ensure that the information remains current and reliable.
Validating secondary data through cross-referencing with primary data to ensure accuracy and relevance.

Combining Secondary and Primary Research

By integrating both secondary and primary research methodologies, we ensure that our database is comprehensive, accurate, and up-to-date. The combined process involves:

Merging historical data from secondary research with real-time data from primary research.
Conducting thorough data validation and cleansing to remove inconsistencies and errors.
Organizing data into a structured format that is easily accessible and usable for various applications.
Continuously monitoring and updating the database to reflect the latest developments and trends in the healthcare field.

Through this meticulous process, we create a final database tailored to each region and domain within the healthcare industry. This approach ensures that our clients receive reliable and relevant data, empowering them to make informed decisions and drive innovation in their respective fields.