Turkey Artificial Intelligence (AI) in Healthcare Market Analysis

Turkey Artificial Intelligence (AI) in Healthcare Market Analysis


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Turkey's Artificial Intelligence (AI) In Healthcare Market is projected to grow from $0.06 Bn in 2022 to $1.12 Bn by 2030, registering a CAGR of 45.72% during the forecast period of 2022 - 2030. The market will be driven by the country's growing demand for healthcare services and government initiatives to promote the use of AI in healthcare. The market is segmented by healthcare components & by healthcare applications. Some of the major players include IBM Watson Health, Hayriya & Mandarin Health.

ID: IN10TRDH003 CATEGORY: Digital Health GEOGRAPHY: Turkey AUTHOR: Vidhi Upadhyay

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Turkey Artificial Intelligence (AI) In Healthcare Market Executive Summary

Turkey's Artificial Intelligence (AI) In Healthcare Market is projected to grow from $0.06 Bn in 2022 to $1.12 Bn by 2030, registering a CAGR of 45.72% during the forecast period of 2022 - 2030. According to a recent study published in The Lancet, Turkey's healthcare system ranks 60th out of 195 countries. The country's growing number of medical schools and professionals is evidence of this. Turkey's healthcare expenditure as a share of GDP was 4.6 per cent of GDP, putting the country last among OECD-European countries. Despite this, total health expenditure has been progressively rising in recent years, reaching nearly 354 Bn Turkish lira in 2021. Ischemic heart disease (21.5%), Stroke (11.8%), Lung cancer (38.3%), COPD (18.1%), Alzheimer's disease (35.6%) & Diabetes (3.9%) are the top causes of death in turkey.

Artificial intelligence (AI) in healthcare is still in its early stages in Turkey, but it is rapidly expanding. Because of the country's large population, rising healthcare expenditure, and shortage of healthcare professionals, there is a lot of interest in AI-driven healthcare solutions. Various facilities such as Memorial Healthcare Group, Acıbadem Healthcare Group, Cerrahpasa Medical Faculty Hospital, Istanbul Aydın University VM Medical Park Florya Hospital & Ankara City Hospital are using AI to improve patient outcomes and reduce healthcare costs. In Turkey, private sector businesses are additionally making investments in AI-driven healthcare solutions. Local entrepreneurs are creating AI-powered medical devices such as diagnostic tools and wearable sensors, while global corporations are collaborating with local healthcare providers to provide AI-based solutions.

Turkey Artificial Intelligence (AI) In Healthcare Market

Market Dynamics

Market Growth Drivers

Turkey's government has released the country's National Artificial Intelligence Strategy for 2021-2025. The Turkish government had announced an ambitious policy blueprint aimed at making the country's AI sector account for at least 5% of GDP by 2025. The government has announced several other initiatives to promote the use of AI in healthcare, including the "Digital Health Transformation Program," which aims to provide residents across the nation with electronic health records, telemedicine services, and AI-powered health applications. The country's growing demand for healthcare services as the population grows and chronic diseases become more prevalent. Moreover, there is a great deal of interest in AI healthcare solutions in Turkey from entrepreneurs and investors. Local startups are creating AI-powered medical devices and software, while global corporations are collaborating with local healthcare providers to provide AI-based solutions.

Market Restraints

There are also a few barriers to the expansion of AI in healthcare in Turkey. One of the most significant ones is the lack of a regulatory framework for AI in healthcare, which can lead to data privacy and security issues. Another challenge is the country's scarcity of skilled AI professionals, which can constrain the growth and adoption of AI solutions. Finally, more investment in research and development is required to develop AI-powered solutions that meet the particular requirements of the Turkish healthcare system.

Competitive Landscape

Key Players

  • IBM Watson Health
  • Google Health
  • Microsoft Healthcare
  • Philips Healthcare
  • NVIDIA Corporation
  • Digime3D (TUR)
  • Hayriya (TUR)
  • TRAICK (TUR)
  • Mandarin Health (TUR)
  • Biokido (TUR)
  • Labenko (TUR)

Notable Insights

In February 2021, GE Healthcare partnered with an Istanbul-based healthcare digitalisation thought leader to accelerate artificial intelligence (AI) development in software development in Turkey.

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.

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Last updated on: 29 March 2023
Updated by: Dhruv Joshi

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