Turkey Artificial Intelligence (AI) in Diagnostics Market Report 2022 to 2030

Turkey Artificial Intelligence (AI) in Diagnostics Market Analysis

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Turkey's Artificial Intelligence (AI) in the diagnostics market is projected to grow from $8 Mn in 2022 to $90.91 Mn by 2030, registering a CAGR of 35.5% during the forecast period of 2022-2030. The market will be driven by initiatives and collaborations promoting the development of AI-powered solutions and the rising incidence of chronic conditions. The market is segmented by component & by diagnosis. Some significant players include IBM Watson Health, Siemens Healthineers & Hayriya.

ID: IN10TRDH002 CATEGORY: Digital Health GEOGRAPHY: Turkey AUTHOR: Vidhi Upadhyay

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Turkey Artificial Intelligence (AI) in Diagnostics Market Executive Summary

Turkey's Artificial Intelligence (AI) in the diagnostics market is projected to grow from $8 Mn in 2022 to $90.91 Mn by 2030, registering a CAGR of 35.5% during the forecast period of 2022-2030. Turkey is a thriving market for medical technologies and healthcare services, with a population estimated to be 84 Mn people. It boasts 50 JCI (Joint Commission International) approved hospitals with contemporary facilities that offer high-quality health care at low costs. The mortality rate from heart disease in Turkey is 42%, one percentage point higher than the worldwide standard. According to Globocan 2020, Turkey had 0.233 Mn new cancer cases, with lung cancer accounting for 25.8% of all cancer cases.

In Turkey, the AI diagnostics environment is fast expanding, with various businesses and efforts driving innovation in this space. As artificial intelligence (AI) technologies evolve, they have the potential to significantly enhance healthcare outcomes for people in Turkey and throughout the world.

In October 2022, Lucence and Omnigen, a laboratory diagnostics distributor, formed a new collaboration to provide amplicon-based liquid biopsy testing for cancer in Turkey. Hayriya is a wearable ECG patch developer who measures metrics such as ECG, heart rate, and respiration rate in real-time. The collected data is uploaded to a partner application, which uses artificial intelligence to compare it to the regular heartbeat and identify any aberrant heart rhythms based in turkey. Other startups such as TRAICK, Mandarin Health & GenoDeep are also progressing in the sector in Turkey.

turkey artificial intelligence in diagnostics market

Market Dynamics

Market Growth Drivers

Turkey has attempted to incorporate more health IT technologies into the country's healthcare framework. Several of the health IT products used by the MoH are developed by software developers. Consumers' healthcare information is maintained centrally on MoH servers through an Electronic Health Record (EHR). The Turkish government has recognized the significance of artificial intelligence in healthcare and has initiated programs to promote its use, such as the National Health Information System (NHIS).

Market Restraints

In Turkey, the absence of defined laws and standards for AI-powered diagnostics might be difficult for startups and healthcare providers. The inability to access vast datasets can restrict the accuracy and efficacy of AI-powered diagnostics. The use of artificial intelligence in healthcare poses ethical questions about data privacy, biases, and responsibility, which may restrict its adoption in Turkey. Despite the possible advantages of AI-powered diagnostics, many Turkish healthcare practitioners may be unwilling to utilize the technology owing to a lack of information and comprehension.

Competitive Landscape

Key Players

IBM Watson Health
Siemens Healthineers
Philips Healthcare
GE Healthcare
Google Health
AliveCor, Inc.
Hayriya (TUR)
TRAICK (TUR)
Mandarin Health (TUR)
GenoDeep (TUR)

Healthcare Policies and Regulatory Landscape and Reimbursement Scenario

The Ministry of Health (MoH), which is in charge of developing and executing healthcare policy, is also Turkey's major supplier of healthcare services. The SGK reimburses some medical expenditures incurred by social security users in public and some private hospitals that require the use of particular medical equipment and drugs recognized on the 'National Reimbursed Medical Technologies List' (SUT list). Medical equipment manufacturers that wish to participate in the reimbursement scheme must verify that their products are on the SUT list. Private hospitals are not bound to participate in this reimbursement program, and providers of equipment and medications operate on an account basis with these private hospitals.

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

Artificial Intelligence (AI) in Diagnostics Market Segmentation

By Component Outlook Type (Revenue, USD Billion):
- Software
- Hardware
- Services

By Diagnosis Outlook Type (Revenue, USD Billion):
- Cardiology
- Oncology
- Pathology
- Radiology
- Chest and Lung
- Neurology
- Others

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.