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

Romania Artificial Intelligence (AI) in Healthcare Market Analysis

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The Romania Artificial Intelligence (AI) In Healthcare Market is projected to grow from $20.01 Mn in 2022 to $401.27 Mn by 2030, registering a CAGR of 45.47% during the forecast period of 2022 - 2030. The market will be driven by the increasing investment in AI infrastructure and expertise development to utilize AI Solutions. The market is segmented by healthcare components & by healthcare applications. Some of the major players include IBM Watson Health, Google Health & Synaptic.

ID: IN10RODH003 CATEGORY: Digital Health GEOGRAPHY: Romania AUTHOR: Vidhi Upadhyay

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Romania Artificial Intelligence (AI) In Healthcare Market Executive Summary

The Romania Artificial Intelligence (AI) In Healthcare Market is projected to grow from $20.01 Mn in 2022 to $401.27 Mn by 2030, registering a CAGR of 45.47% during the forecast period of 2022 - 2030. The Romanian health system is divided into two levels: the national level, which is in charge of implementing government health policy, and the district level, which is in charge of ensuring service delivery in accordance with centrally established rules. The National Health Insurance House oversees the social health insurance system (NHIFH). In 2019, there were 532 hospitals in Romania, with 155 of them being private. Although cancer mortality is on the rise, ischemic heart disease remains the leading cause of death. Romania also faces challenges with managing some infectious diseases, with the EU's highest rate of tuberculosis cases.

Artificial intelligence (AI) is increasingly being adopted and used in healthcare around the world, including in Romania. AI in healthcare can help with disease diagnosis, drug discovery, treatment planning, patient monitoring, and other tasks. In 2019, the Bucharest University of Medicine and Pharmacy "Carol Davila" announced the development of an Artificial Intelligence-based solution capable of predicting the likelihood of a patient developing cardiovascular disease. In addition, Synaptiq a Romania-based startup had developed 'Mediq' AI-based medical data analysis software for healthcare professionals to detect and analyse diseases. The system employs artificial intelligence technology to aid in the process of radiation treatment planning. Clinical data storage, visualisation, pathology detection, and other features are available.

Romania Artificial Intelligence (AI) In Healthcare Market

Market Dynamics

Market Growth Drivers

Several factors influence the adoption and use of Artificial Intelligence (AI) in healthcare in Romania. The potential of AI to enhance patient experiences and boost the effectiveness of medical care is among the key drivers. AI can assist physicians to diagnose diseases, predicting outcomes, and creating personalised treatment plans, resulting in better patient health results. Another driver is the growing accessibility of health records in Romania. Healthcare data digitization, including electronic health records and medical imaging, provides a rich source of data for training and improving AI algorithms.

Market Restraints

Healthcare providers with the requisite experience to develop and implement AI-powered solutions are in scarce. Data privacy concerns remain a significant impediment to AI adoption in healthcare. Patients' healthcare information is sensitive information, and there are questions about how AI systems collect, store, and use it. Furthermore, funding for AI initiatives is scarce. To support the incorporation of AI into healthcare systems, investments in AI infrastructure and skill-building are required.

Competitive Landscape

Key Players

IBM Watson Health
Google Health
Microsoft Healthcare
NVIDIA
Intel Corporation
Amazon Web Services (AWS) Healthcare
Xvision (ROU)
Parol (ROU)
Synaptiq (ROU)
EXIGO (ROU)

Healthcare Policies and Regulatory Landscape

The National Agency for Medicines and Medical Devices (NAMMD), a state entity reporting to the Ministry of Health, oversees access to medical devices in Romania. Medical equipment must bear the CE mark in order to be sold in Romania. The inclusion of the medical device in NAMMD's National Database of Medical Devices is an extra registration step. NAMMD must provide authorization to businesses engaged in the manufacture, import, wholesale distribution, and retail distribution

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.