IMARC Group has recently released a new research study titled “South Korea Artificial Intelligence (AI) in Healthcare Market Report by Offering (Hardware, Software, Services), Technology (Machine Learning, Context-Aware Computing, Natural Language Processing, and Others), Application (Robot-Assisted Surgery, Virtual Nursing Assistant, Administrative Workflow Assistance, Fraud Detection, Dosage Error Reduction, Clinical Trial Participant Identifier, Preliminary Diagnosis, and Others), End User (Healthcare Providers, Pharmaceutical and Biotechnology Companies, Patients, and Others), and Region 2025-2033”, offers a detailed analysis of the market drivers, segmentation, growth opportunities, trends and competitive landscape to understand the current and future market scenarios.
South Korea Artificial Intelligence (AI) in Healthcare Market Overview
The South Korea Artificial Intelligence (AI) in Healthcare Market size was valued at USD 150.0 Million in 2024. It is forecasted to reach USD 1,300.0 Million by 2033, growing at a CAGR of 24.2% during 2025-2033. The market is driven primarily by rising demand for AI-powered diagnostic tools that enhance precise treatment planning and improve patient outcomes through advanced pattern and anomaly detection unachievable by human observation alone.
Study Assumption Years
- Base Year: 2024
- Historical Year/Period: 2019-2024
- Forecast Year/Period: 2025-2033
South Korea Artificial Intelligence (AI) in Healthcare Market Key Takeaways
- The market size was USD 150.0 Million in 2024, expected to reach USD 1,300.0 Million by 2033.
- The market is projected to grow at a CAGR of 24.2% from 2025 to 2033.
- The growth forecast covers the period from 2025 to 2033.
- Advancements in AI algorithms and machine learning have improved diagnosis accuracy and treatment.
- Increasing adoption of electronic health records and digital technologies is facilitating AI-driven insights.
- The demand for cost-effective healthcare and optimized resource use is driving AI integration.
- Aging population and chronic disease prevalence encourage AI-driven telemedicine and remote monitoring solutions.
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