Product Code: ETC4467266 | Publication Date: Jul 2023 | Updated Date: Feb 2025 | Product Type: Report | |
Publisher: 6Wresearch | No. of Pages: 85 | No. of Figures: 45 | No. of Tables: 25 | |
Thailand healthcare sector is embracing Artificial Intelligence (AI) to improve patient care, diagnosis, and operational efficiency. AI applications in healthcare, such as medical image analysis and predictive analytics, are gaining traction.
The artificial intelligence (AI) in healthcare market in Thailand is experiencing significant expansion, driven by the growing recognition of AI potential to enhance medical diagnostics, treatment planning, and patient care. Increasing healthcare digitization, coupled with a focus on data-driven decision-making, is fostering the integration of AI technologies in the healthcare sector. Government support for healthcare innovation and a rising demand for personalized medicine contribute to the growth of the AI in healthcare market in Thailand.
The Thailand Artificial Intelligence in Healthcare market faces challenges related to data privacy, ethical considerations, and regulatory frameworks. Balancing the use of AI for healthcare innovation with concerns about patient confidentiality and informed consent is crucial. Developing standards for AI algorithms in medical diagnosis and treatment requires collaboration among healthcare professionals, AI developers, and regulatory authorities. Moreover, ensuring transparency and accountability in AI-driven healthcare solutions is essential for building trust among healthcare providers and the public. Collaborative efforts to establish ethical guidelines and regulatory frameworks are necessary to address these challenges and foster the responsible adoption of AI in healthcare.
The Artificial Intelligence in Healthcare market in Thailand witnessed accelerated growth during the COVID-19 pandemic as the healthcare sector sought innovative solutions for diagnostics and patient care. The demand for AI-driven healthcare technologies surged. Challenges related to data privacy and regulatory considerations influenced market dynamics. However, companies in this sector adapted by focusing on robust AI algorithms and addressing ethical concerns. The market demonstrated resilience by contributing to the integration of artificial intelligence in healthcare systems, enhancing diagnostic accuracy and patient outcomes.
Revolutionizing healthcare with AI applications, key players such as IBM Watson Health and Siemens Healthineers significantly contribute to the Artificial Intelligence in Healthcare market in Thailand. IBM Watson Health is a healthcare technology company offering AI-powered solutions that impact areas like medical imaging, drug discovery, and patient care in Thailand. Siemens Healthineers, a global medical technology company, provides AI applications for medical diagnostics, influencing sectors such as radiology, pathology, and healthcare analytics in Thailand. These companies play a crucial role in advancing Artificial Intelligence in Healthcare for improved diagnostics, treatment planning, and patient outcomes.
1 Executive Summary |
2 Introduction |
2.1 Key Highlights of the Report |
2.2 Report Description |
2.3 Market Scope & Segmentation |
2.4 Research Methodology |
2.5 Assumptions |
3 Thailand Artificial Intelligence in Healthcare Market Overview |
3.1 Thailand Country Macro Economic Indicators |
3.2 Thailand Artificial Intelligence in Healthcare Market Revenues & Volume, 2021 & 2031F |
3.3 Thailand Artificial Intelligence in Healthcare Market - Industry Life Cycle |
3.4 Thailand Artificial Intelligence in Healthcare Market - Porter's Five Forces |
3.5 Thailand Artificial Intelligence in Healthcare Market Revenues & Volume Share, By Offering, 2021 & 2031F |
3.6 Thailand Artificial Intelligence in Healthcare Market Revenues & Volume Share, By Technology , 2021 & 2031F |
4 Thailand Artificial Intelligence in Healthcare Market Dynamics |
4.1 Impact Analysis |
4.2 Market Drivers |
4.3 Market Restraints |
5 Thailand Artificial Intelligence in Healthcare Market Trends |
6 Thailand Artificial Intelligence in Healthcare Market, By Types |
6.1 Thailand Artificial Intelligence in Healthcare Market, By Offering |
6.1.1 Overview and Analysis |
6.1.2 Thailand Artificial Intelligence in Healthcare Market Revenues & Volume, By Offering, 2021-2031F |
6.1.3 Thailand Artificial Intelligence in Healthcare Market Revenues & Volume, By Hardware, 2021-2031F |
6.1.4 Thailand Artificial Intelligence in Healthcare Market Revenues & Volume, By Software, 2021-2031F |
6.1.5 Thailand Artificial Intelligence in Healthcare Market Revenues & Volume, By Services, 2021-2031F |
6.2 Thailand Artificial Intelligence in Healthcare Market, By Technology |
6.2.1 Overview and Analysis |
6.2.2 Thailand Artificial Intelligence in Healthcare Market Revenues & Volume, By Machine Learning, 2021-2031F |
6.2.3 Thailand Artificial Intelligence in Healthcare Market Revenues & Volume, By NLP, 2021-2031F |
6.2.4 Thailand Artificial Intelligence in Healthcare Market Revenues & Volume, By Context-aware Computing, 2021-2031F |
6.2.5 Thailand Artificial Intelligence in Healthcare Market Revenues & Volume, By Computer Vision, 2021-2031F |
7 Thailand Artificial Intelligence in Healthcare Market Import-Export Trade Statistics |
7.1 Thailand Artificial Intelligence in Healthcare Market Export to Major Countries |
7.2 Thailand Artificial Intelligence in Healthcare Market Imports from Major Countries |
8 Thailand Artificial Intelligence in Healthcare Market Key Performance Indicators |
9 Thailand Artificial Intelligence in Healthcare Market - Opportunity Assessment |
9.1 Thailand Artificial Intelligence in Healthcare Market Opportunity Assessment, By Offering, 2021 & 2031F |
9.2 Thailand Artificial Intelligence in Healthcare Market Opportunity Assessment, By Technology , 2021 & 2031F |
10 Thailand Artificial Intelligence in Healthcare Market - Competitive Landscape |
10.1 Thailand Artificial Intelligence in Healthcare Market Revenue Share, By Companies, 2024 |
10.2 Thailand Artificial Intelligence in Healthcare Market Competitive Benchmarking, By Operating and Technical Parameters |
11 Company Profiles |
12 Recommendations |
13 Disclaimer |