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 reached USD 150.0 Million in 2024 and is expected to grow to USD 1,300.0 Million by 2033, exhibiting a CAGR of 24.2% during 2025-2033. Growth is driven by demand for AI-powered diagnostic tools that enhance treatment planning and improve patient outcomes. The market benefits from advances in AI algorithms and increased adoption of digital health technologies, enabling precise diagnosis and personalized healthcare delivery.
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
- Current Market Size: USD 150.0 Million (2024)
- CAGR: 24.2% during 2025-2033
- Forecast Period: 2025-2033
- Advances in AI algorithms and machine learning improve diagnosis accuracy and patient care efficiency.
- Increasing adoption of Electronic Health Records (EHRs) creates large data repositories for AI analysis.
- Rising demand for cost-effective healthcare solutions is driving AI technology integration.
- Growth in chronic diseases and aging population fuel need for AI-driven telemedicine and remote monitoring.
- AI-enabled predictive analytics optimize healthcare resources and reduce costs.
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MARKET GROWTH FACTORS
The South Korea artificial intelligence (AI) in healthcare market size is primarily driven by advancements in AI algorithms and machine learning techniques that have significantly improved the accuracy and efficiency of medical diagnosis, treatment planning, and patient care. These technical innovations enable healthcare providers to quickly and precisely analyze vast amounts of patient data, leading to personalized treatment strategies. The surge in AI-powered diagnostic tools helps identify patterns and anomalies that are not easily detectable by humans, which leads to better patient outcomes and precise treatment planning.
Another significant growth factor is the increasing adoption of electronic health records (EHRs) and digital health technologies. These technologies have created vast repositories of medical data, which present fertile ground for AI-driven insights and decision-making. The availability of digital data accelerates AI's ability to enhance clinical decision-making and streamline administrative healthcare processes, thus optimizing healthcare providers' workflow efficiencies.
Additionally, the rising demand for cost-effective healthcare solutions is stimulating healthcare organizations to integrate AI technologies into their operations. AI-powered predictive analytics and preventive healthcare tools enable early identification of high-risk patients, helping anticipate disease outbreaks and streamline workflows. This integration leads to reduced healthcare costs and improvements in patient outcomes. Furthermore, the growing prevalence of chronic diseases and an aging population in South Korea require innovative solutions like AI-driven telemedicine platforms, remote monitoring devices, and virtual health assistants, empowering patients to manage their health actively while easing the burden on healthcare systems.
MARKET SEGMENTATION
Offering Insights:
- Hardware: Includes physical AI systems and devices used in healthcare.
- Software: Covers AI software solutions for healthcare applications.
- Services: Encompasses consulting, implementation, and support services related to AI in healthcare.
Technology Insights:
- Machine Learning: AI techniques that enable systems to learn from data.
- Context-Aware Computing: Technologies that interpret contextual information to enhance AI decisions.
- Natural Language Processing: AI methods for understanding and processing human language.
- Others: Additional AI technologies applied in healthcare.
Application Insights:
- Robot-Assisted Surgery: AI-enabled robotic systems assisting in surgical procedures.
- Virtual Nursing Assistant: AI-based virtual assistants to support nursing care.
- Administrative Workflow Assistance: AI tools to streamline healthcare administrative tasks.
- Fraud Detection: AI applications for identifying fraudulent activities in healthcare.
- Dosage Error Reduction: Systems to minimize medication dosage errors.
- Clinical Trial Participant Identifier: AI methods to identify suitable clinical trial candidates.
- Preliminary Diagnosis: AI tools aiding initial patient diagnosis.
- Others: Other AI applications in healthcare not specifically categorized.
End User Insights:
- Healthcare Providers: Hospitals and clinics using AI technology.
- Pharmaceutical and Biotechnology Companies: Entities using AI for drug development and research.
- Patients: End user beneficiaries of AI healthcare solutions.
- Others: Additional stakeholders using AI in the healthcare sector.
REGIONAL INSIGHTS
The dominant region in South Korea for the AI in healthcare market includes the Seoul Capital Area, Yeongnam (Southeastern Region), Honam (Southwestern Region), Hoseo (Central Region), and others. The report provides a comprehensive analysis of these major regional markets. Specific market shares and CAGRs by region are not provided in the source.
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