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

Poland Artificial Intelligence (AI) in Healthcare Market Analysis

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Poland's Artificial Intelligence (AI) In Healthcare Market is projected to grow from $0.04 Bn in 2022 to $0.81 Bn by 2030, registering a CAGR of 45.67% during the forecast period of 2022-30. The market will be driven by the increasing demand for better healthcare services, the ageing population, and the growing availability of AI-based solutions. The market is segmented by healthcare components & by healthcare applications. Some of the major players include IBM Watson Health, Google Health, Sano & Deepflare.

ID: IN10PLDH003 CATEGORY: Digital Health GEOGRAPHY: Poland AUTHOR: Vidhi Upadhyay

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Poland Artificial Intelligence (AI) In Healthcare Market Executive Summary

Poland's Artificial Intelligence (AI) In Healthcare Market is projected to grow from $0.04 Bn in 2022 to $0.81 Bn by 2030, registering a CAGR of 45.67% during the forecast period of 2022-30. Poland's diverse economy has demonstrated to be one of the most resilient in the EU, recovering strongly in 2021 after a fairly minor 2.2 per cent contraction in GDP in 2020. Long-term inclusive growth and poverty reduction have been supported by a macroeconomic stability framework, efficient uptake of EU investment funds, a good financial sector, increase accessibility to long-term credit, and availability to European labour markets. The leading causes of death continue to be heart disease and stroke, followed by lung cancer and pneumonia. The high mortality rate from respiratory diseases is most likely a result of Poland's high smoking rates.

Artificial intelligence (AI) implementation and utilisation in healthcare are increasing in Poland. Artificial intelligence (AI) technologies such as machine learning, natural language processing, and computer vision are being used in a variety of healthcare applications such as medical imaging, drug discovery, personalised medicine, and clinical decision support. The Medical University of Gdask has created an AI-powered system for skin cancer detection. The system analyses images of skin lesions with algorithms that use machine learning to provide a high-accuracy diagnosis. The Polish government is also investing in AI-based healthcare solutions. The Ministry of Health is developing an AI-based system to anticipate hospitalisation rates and identify patients at high risk of hospitalisation.

Poland Artificial Intelligence (AI) In Healthcare Market

Market Dynamics

Market Growth Drivers

The Polish national AI strategy was adopted by the Council of Ministers in December 2020, with the goal of implementing a Trustworthy AI ethical framework and launching the mechanism of a flourishing Polish AI ecosystem in ethical, legal, technical-operational, and international dimensions.

Growing demand for better healthcare services, an ageing population, and the need to minimise expenses while enhancing patient outcomes are among the key driving forces of AI adoption in healthcare in Poland. Another factor driving AI adoption in healthcare in Poland is increased government and private sector investment in the development of AI-based healthcare solutions. The Ministry of Health, for example, is working on a project to create an AI-based system for predicting hospitalisation rates and identifying patients who are at high risk of hospitalisation.

Market Restraints

There are some constraints that must be overcome. As the use of AI includes the handling and retention of sensitive patient information, one of the major challenges is data privacy and security concerns. Another concern that may limit the adoption of AI-based solutions is the scarcity of skilled professionals in AI and healthcare. The absence of regulatory frameworks for AI in healthcare is another significant impediment that must be addressed in order to ensure the safe and effective use of AI technologies in healthcare.

Competitive Landscape

Key Players

IBM Watson Health
Google Health
Microsoft Healthcare
NVIDIA
Philips Healthcare
Sano (POL)
Molecule. one
StethoMe (POL)
Diagu (POL)
Deepflare (POL)
SOLVEMED Revolutionising (POL)
Holoroad (POL)
Infermedica (POL)

Notable Insights

In June 2022, The ECHAlliance Group announced the organisation of an AI in Health conference in Poland. The AI in Health Conference was Central and Eastern Europe's first large-scale event dedicated to artificial intelligence and health innovation.

In May 2020, Infermedica, a Polish firm, teamed up with Microsoft to digitise early diagnosis.

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.