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

Thailand Artificial Intelligence (AI) in Healthcare Market Analysis

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The Thailand Artificial Intelligence (AI) In healthcare market is projected to grow from $0.01 Bn in 2022 to $0.17 Bn by 2030, registering a CAGR of 45.56% during the forecast period of 2022-2030. The market will be driven by the ageing population and government initiatives for digital transformation. The market is segmented by healthcare components & by healthcare applications. Some of the major players include Microsoft Healthcare, Chiiwii Healthtech & Sunday.

ID: IN10THDH003 CATEGORY: Digital Health GEOGRAPHY: Thailand AUTHOR: Vidhi Upadhyay

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Thailand Artificial Intelligence (AI) In Healthcare Market Executive Summary

The Thailand Artificial Intelligence (AI) In healthcare market is projected to grow from $0.01 Bn in 2022 to $0.17 Bn by 2030, registering a CAGR of 45.56% during the forecast period of 2022-30. Thailand's total healthcare expenditure is estimated to be $25.3 billion. By 2026, costs are projected to increase to $47.9 billion. Thailand's healthcare system consists of both private and public facilities. Private hospitals in Bangkok account for approximately 60% of all available hospital beds. Patients benefit from shorter wait times and modern medical equipment at these private facilities. Thailand's medical tourism industry is well-known for providing patients with cancer treatment, fertility assistance, orthopaedics, cardiovascular medicine, and dentistry.

In Thailand, the adoption and utilisation of Artificial Intelligence (AI) in healthcare is still in its initial stages, yet there are multiple initiatives and advancements that indicate the potential for growth in this area. The National Health Security Office has put in place an artificial intelligence-powered system to help with disease surveillance and outbreak response. The rise of digital health startups in Thailand is assisting to accelerate the adoption of AI in healthcare. Many such firms are working on AI-powered solutions to address a variety of healthcare challenges, such as disease diagnosis, drug discovery, and personalised medicine. Doctor Raksa is a Thai startup that provides an artificial intelligence-powered platform for remote monitoring of patients and chronic disease management.

Thailand Artificial Intelligence (AI) In Healthcare Market

Market Dynamics

Market Growth Drivers

Thailand's national development strategy is known as "Thailand 4.0," and it places top importance on investment opportunities in the priority sectors of Biofuels & Biochemicals, Digital Economy, Medical Hub, Automation & Robotics, and Aviation & Logistics. Bangkok ranks 71st in the globe for startup activity. This indicates the presence of urbanised settings, infrastructure, and other elements required for market expansion. Thailand's digital economy growth strategy relies heavily on artificial intelligence. The Digital Government Development Agency (DGA) established a government AI Center in Thailand with the goal of improving the efficiency and effectiveness of government services. The ageing population, the government's thrust for digital transformation, the accessibility of health records, and the advancement of the startup ecosystem are all driving AI in healthcare in Thailand.

Market Restraints

A number of barriers are impeding the adoption of AI in healthcare in Thailand. One of the major challenges is a lack of digital health infrastructure and standards, which can make implementing AI solutions in healthcare settings difficult. Another challenge is addressing data privacy and security concerns, which are critical for the safe and ethical use of AI in healthcare.

Competitive Landscape

Key Players

Microsoft Healthcare
Google Health
NVIDIA
IBM Watson Health
GE Healthcare
Cerner
Chiiwii Healthtech (THA)
Sunday (THA)

Notable Insights

February 2023, A research team from Chulalongkorn University's Faculty of Medicine and Faculty of Engineering in Thailand developed AICute, an AI-based innovative programme to assess the risk of stroke caused by heart disease (Ischemic Stroke), with the goal of assisting hospitals that lack cardiologists in improving the effectiveness of stroke treatment and reducing congestion in hospitals and medical schools.

October 2022, GlaxoSmithKline plc (GSK) collaborates with Mahidol University, Program Management Unit For Competitiveness (PMU-C), and Digital Economy Promotion Agency (depa) to promote the use of artificial intelligence.

August 2022, JLK, a South Korean medical AI company, received Food and Drug Administration Thailand medical device approval for its AI brain image analysis solution.

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.