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

Poland Artificial Intelligence (AI) in Diagnostics Market Analysis

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Poland’s Artificial Intelligence (AI) in the diagnostics market is projected to grow from $5.8 Mn in 2022 to $xx Mn by 2030, registering a CAGR of xx% during the forecast period of 2022-30. The market will be driven by an increasing number of organizations and industries investing in AI-powered diagnostic solutions and the rising demand for advanced diagnostic solutions. The market is segmented by component & by diagnosis. Some of the major players include IBM Watson Health, Infermedica & Cardiomatics.

ID: IN10PLDH002 CATEGORY: Digital Health GEOGRAPHY: Poland AUTHOR: Vidhi Upadhyay

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Poland Artificial Intelligence (AI) in Diagnostics Market Executive Summary

Poland’s Artificial Intelligence (AI) in the diagnostics market is projected to grow from $5.8 Mn in 2022 to $xx Mn by 2030, registering a CAGR of xx% during the forecast period of 2022-30. Every Polish and European Union resident has the right to seek healthcare under Poland's free public healthcare system. The public system covers 91% of the population but is not universal, with the majority of the uninsured residing overseas yet registering as residents. Individuals who do not have SHI coverage can receive outpatient emergency medical treatment and primary care. According to the Global Cancer Observatory 2020, out of a total population of 37.84 Mn, the number of new cases of cancer was 0.2 Mn with 0.11 Mn deaths registered in Poland. In 2021 the number of fatalities in Poland due to cardiovascular disease was reported to be 49,583 persons.

In recent years, Poland has steadily adopted and used artificial intelligence (AI) in diagnostics, propelled by the desire to increase the accuracy, efficiency, and accessibility of healthcare services. AI is being applied in diagnostic domains such as radiology, pathology, and cardiology. In Poland, an increasing number of enterprises specializing in new technologies that are becoming more useful in healthcare are being established. Startups such as Cardiomatics, Diagu, SOLVEMED Revolutionising, Brain Scan & Infermedica are expanding the market in the country.

poland artificial intelligence in diagnostics market analysis

Market Dynamics

Market Growth Drivers

Artificial intelligence (AI) is gaining traction in diagnostics in Poland, with an increasing number of organizations and industries investing in AI-powered diagnostic solutions. The desire to increase the precision and effectiveness of healthcare services, the growing amount of health data created by patients, and the growing need for personalized healthcare are all key drivers for AI diagnostics in Poland.

Market Restraints

the lack of consistency in the acquisition and evaluation of health data makes developing and training AI systems challenging. Laws and norms governing the use of artificial intelligence in diagnostics are still growing, causing ambiguity and possible danger for businesses and healthcare providers. the high cost of AI-powered diagnostic tools may prevent them from being used by smaller healthcare providers and businesses. Furthermore, there is a deficit of trained AI specialists, making it challenging to design, install, and maintain AI-powered diagnostic tools.

Competitive Landscape

Key Players

GE Healthcare
IBM Watson Health
Siemens Healthineers
Philips Healthcare
Google Health
AliveCor, Inc.
Infermedica (POL)
Cardiomatics (POL)
Diagu (POL)
SOLVEMED Revolutionising (POL)
Brain Scan (POL)

Notable Deals

November 2022, During RSNA 2022, Philips promotes AI-powered diagnostic technologies and transformational workflow solutions
In May 2020, Infermedica, a Polish firm, teamed up with Microsoft to digitize early diagnosis

Healthcare Policies and Regulatory Landscape and Reimbursement Scenario

The Act on Medical Devices of 7 April 2022, as well as a series of supplemental legislation, provide the fundamental regulatory framework for the commercialization of medical devices in Poland. Regulation (EU) 2017/745 on medical devices and Regulation (EU) 2017/746 on in vitro diagnostic medical devices establish the fundamental regulatory framework at the EU level.

The National Health Fund ("NFZ") oversees a nationwide public healthcare system. Insured individuals have the right to public healthcare services aimed at preserving health and avoiding diseases and injuries, as well as early disease diagnosis, treatment, nursing, and disability prevention and limitation. These services are given at no cost. To get access to public healthcare services, individuals must be enrolled in health insurance and make the necessary contributions. Contributions are paid either directly by the insured individual or indirectly by another entity, depending on the circumstances. The majority of Polish pay either mandatory or optional health insurance contributions.

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.