Industry Outlook
The Asia Pacific Artificial Intelligence (AI) in Medical Diagnostics market accounted for USD 0.286 Billion in 2024 and is expected to reach USD 5.86 Billion by 2035, growing at a CAGR of around 31.6% between 2025 and 2035. The Asia Pacific Artificial Intelligence (AI) in Medical Diagnostics Market signifies the surge of AI applications across the healthcare ecosystem to improve diagnostic accuracy and efficiency. AI diagnostic tools that analyze medical data, including images, lab results, and patient history, are part of this market. Demand factors include increasing healthcare spending, the increasing burden of chronic disease, and the advances of machine learning and data analytics. Also, the drive for faster and more accurate diagnostics, especially where there is limited access to specialists, drives demand for AI.
Report Scope:
Parameter | Details |
---|
Largest Market | China |
Fastest Growing Market | India |
Base Year | 2024 |
Market Size in 2024 | USD 0.286 Billion |
CAGR (2025-2035) | 31.6% |
Forecast Years | 2025-2035 |
Historical Data | 2018-2024 |
Market Size in 2035 | USD 5.86 Billion |
Countries Covered | China, Japan, India, Australia, South Korea, Singapore, Taiwan, Indonesia, Thailand, Malaysia, Philippines, Vietnam, and Others |
What We Cover | What We Cover Market growth drivers, restraints, opportunities, Porter’s five forces analysis, PESTLE analysis, value chain analysis, regulatory landscape, pricing analysis by segments and region, company market share analysis, and 10 companies with scope for including additional 15 companies upon request |
Segments Covered | Application, Disease, and Country |
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Market Dynamics
- Increasing demand for accurate and timely medical diagnoses across populations
Several critical factors drive the Asia Pacific Artificial Intelligence (AI) in Medical Diagnostics Market. Firstly, the rate of chronic illnesses among people is rising, which drives demand for prompt, accurate diagnosis. Another factor is the rising cost and investment in digital health technology with healthcare infrastructure. The aging population is contributing to the demand for efficient diagnosis. Moreover, the aging population increases the need for efficient diagnostic solutions.
The Australian Institute of Health and Welfare estimates that over 4 million people in Australia suffer from chronic illnesses, underscoring the urgent need for improved diagnostic instruments. These factors all show the potential for AI to deliver transformative change to healthcare delivery in the Asia Pacific.
- Resistance to change among healthcare providers and traditional practice holders.
Resistance to change by healthcare providers and those aligned with traditional practices is a major constraint to the uptake of artificial intelligence (AI) in the medical diagnostics market in the Asia Pacific. Many consider themselves experts in established diagnostic practices and may demonstrate a reluctance to consider the reliability and accuracy of new AI solutions. Much of the resistance relates to a fear of job loss, lack of training on AI technology, or concerns about data collection and data privacy. Innovations will move slower among existing medical systems and structures. When there is resistance in the form of policy development or practices that change slowly, healthcare can lose valuable opportunities to drive innovation for quality, safety, efficiency, and improved outcomes. Avoiding the unwillingness to accept will require organizations to invest in education and learning and coexist in the belief system of AI value in healthcare.
- Innovations in imaging technologies provide new applications for AI in diagnostics.
The Asia Pacific region has a tremendous opportunity to leverage artificial intelligence (AI) to improve the accuracy of medical diagnosis with recent technological advancements in imaging. AI-enhanced magnetic resonance imaging (MRI) and computerized tomography (CT) scans provide more accurate and faster diagnoses, meeting the increasing demands for efficiency in health care. Countries in the Asia Pacific can leverage their diverse populations and related healthcare needs to benefit from the application of technology and AI to improve patient outcomes, provide more efficient workflow practices, and reduce costs. The partnership between technology and healthcare providers will lead to new AI innovations that will mold improved applications in disease detection and monitoring.
Industry Experts Opinion
“Qure.ai has become a trusted medical imaging AI partner to hospitals and healthcare organizations around the world. Our work is helping to unlock clinical efficiencies and drive up the standard of care delivered to patients in the focus areas of TB, Lung Cancer, and Stroke.”
- Prashant Warier Co-founder and CEO of Qure.ai
Segment Analysis
Based on the Application, the market of Asia Pacific Artificial Intelligence (AI) in Medical Diagnostics has been classified into Imaging Diagnostics, Genomic Diagnostics, Laboratory Diagnostics, Preventive Diagnostics, and Clinical Decision Support. In the Asia Pacific Artificial Intelligence (AI) in Medical Diagnostics Market, Imaging Diagnostics represents the largest segment. The rapid adoption of new imaging technologies, along with the ability of AI to improve imaging interpretation, leads to its prominence. AI algorithms improve the precision and efficiency in the detection of diseases such as cancer and cardiovascular diseases, making the diagnostic processes reliable.
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Furthermore, the escalating occurrence of chronic diseases and demand for early diagnosis drives the use of AI in imaging diagnostics, making it an important area for healthcare innovation in the region.
Based on the Disease, the market of Asia Pacific Artificial Intelligence (AI) in Medical Diagnostics has been classified into Oncology, Cardiovascular Diseases, Neurological Disorders, Respiratory Diseases, Diabetes, Infectious Diseases, and Others. In the Asia Pacific Artificial Intelligence (AI) in Medical Diagnostics Market, Oncology stands out as the most dominant segment.
The use of AI improves the precision of imaging and analysis of pathology to enable early detection and personalized treatment solutions. Considering that healthcare systems signal a focus on early access to care and improved patient outcomes, utilization of AI in oncology medical diagnostics is paramount. This focus on AI, streamlining medical diagnostic workflows to dispense a faster range of tests, also empowers healthcare providers to address the increasing burden of cancer.
Regional Analysis
China is a key player in the Asia Pacific Artificial Intelligence (AI) in Medical Diagnostics Market, driven by rapid advancements in healthcare technology and significant government investment. Levels of AI use continue to rise in the use of medical imaging data, genomics, and data analysis and evaluation, both within hospitals and in the research sector. A cooperative ecosystem for AI in healthcare diagnostics emerges across the country, and the pace of adoption will create artificial intelligence applications and transformations at pace.
India is becoming one of the major growing markets within the market segment of artificial intelligence (AI) for medical diagnostics. India is dominating this market segment due in part to its large population, growing demand for health services, and increasing technology ecosystem.
Investments in AI research and government-funded digitization programs for the healthcare system are immensely accelerating the creation and adoption of AI solutions. The establishment of startups creating AI-based diagnostic products and services is also improving access to quality care on some level in more rural locations.
Competitive Landscape
The Asia Pacific Artificial Intelligence (AI) Medical Diagnostics market faces competition due to rapid technological breakthroughs and the rising need for cost-effective healthcare treatments. Key players like Siemens Healthineers and GE Healthcare are leading because of the implementation of AI into imaging to achieve precision and accuracy. IBM Watson Health is creating data-driven insights to support individualized therapies, while Philips Healthcare integrated AI-based analytics into their patient monitoring systems. Recent efforts, like Aidoc's deployment of AI tools for real-time radiology in hospitals and Qure.ai's recent financing to improve their AI algorithms for better radiological assessments.
Asia Pacific Artificial Intelligence (AI) in Medical Diagnostics Market, Company Shares Analysis, 2024
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Recent Developments:
- In August 2024, The National Healthcare Group (NHG) is implementing artificial intelligence (AI) technologies to enhance screening for lung and heart diseases, aiming to improve early detection and diagnostic accuracy.
- In May 2024, Fortis Healthcare is enhancing its mental health services by integrating artificial intelligence (AI) to improve diagnostics and personalized treatment plans. This initiative aims to provide better patient care and outcomes in response to the growing demand for mental health support.
Report Coverage:
By Application
- Imaging Diagnostics
- Genomic Diagnostics
- Laboratory Diagnostics
- Preventive Diagnostics
- Clinical Decision Support
By Disease
- Oncology
- Cardiovascular Diseases
- Neurological Disorders
- Respiratory Diseases
- Diabetes
- Infectious Diseases
- Others
By Region
Asia Pacific
- China
- Japan
- India
- Australia
- South Korea
- Singapore
- Taiwan
- Indonesia
- Thailand
- Malaysia
- Philippines
- Vietnam
- Rest of Asia Pacific
List of Companies
- Siemens Healthineers
- GE Healthcare
- Philips Healthcare
- IBM Watson Health
- Zebra Medical Vision
- Aidoc
- PathAI
- Tempus
- Fujifilm
- CureMetrix
- BioMind
- Qure.ai
- Aiforia Technologies
- eHealth Technologies
- DeepMind Health
Frequently Asked Questions (FAQs)
The Asia Pacific Artificial Intelligence (AI) in Medical Diagnostics market accounted for USD 0.286 Billion in 2024 and is expected to reach USD 5.86 Billion by 2035, growing at a CAGR of around 31.6% between 2025 and 2035.
Key growth opportunities in the Asia Pacific Artificial Intelligence (AI) in the Medical Diagnostics market include Innovations in imaging technologies providing new diseases for AI in diagnostics, increasing investments in AI startups and innovative diagnostic technology solutions, Shift towards personalized medicine allowing tailored AI diagnostic tools development.
The application type is currently leading in the Asia Pacific Artificial Intelligence (AI) in Medical Diagnostics Market due to Imaging Diagnostics. Imaging diagnostics is the largest segment due to the swift adoption of advanced imaging technologies and AI's capability to enhance image interpretation. AI algorithms boost the accuracy and efficiency of disease detection, particularly for conditions like cancer and cardiovascular diseases, thereby increasing the reliability of diagnostic processes.
China is expected to remain the dominant country due to the growing focus on digital healthcare. The country's robust tech ecosystem fosters innovation, with leading companies developing AI solutions for medical imaging and disease detection, enhancing diagnostic capabilities across healthcare facilities.
India is the fastest-growing country in Asia Pacific Artificial Intelligence (AI) in the Medical Diagnostics Market due to the burgeoning startup ecosystem and increasing adoption of digital health technologies. Government initiatives and collaborations with academic institutions are driving research and development in AI applications for diagnostics, particularly in medical imaging and predictive analytics.
Key operating players in the Asia Pacific Artificial Intelligence (AI) in the Medical Diagnostics market are Siemens Healthineers, GE Healthcare, Philips Healthcare, IBM Watson Health, Zebra Medical Vision, and Aidoc. Siemens Healthineers leads the Asia Pacific Artificial Intelligence in Medical Diagnostics market with its advanced imaging solutions and AI-driven analytics, enhancing diagnostic accuracy and patient outcomes.
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