Italy Artificial Intelligence in Healthcare Market Report 2022 to 2030

Italy Artificial Intelligence (AI) in Healthcare Market Analysis

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Italy's Artificial Intelligence (AI) in the healthcare market is projected to grow from $0.17 Bn in 2022 to $3.19 Bn by 2030, registering a CAGR of 44.72% during the forecast period of 2022-30. The market will be driven by increasing demand for innovative and effective healthcare services, the rising availability of healthcare data, and the implementation of electronic health records (EHRs). The market is segmented by healthcare components & by healthcare applications. Some of the major players include IBM Watson Health, Google Health, TeiaCare & surgiQ.

ID: IN10ITDH003 CATEGORY: Digital Health GEOGRAPHY: Italy AUTHOR: Vidhi Upadhyay

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Italy Artificial Intelligence (AI) in Healthcare Market Executive Summary

Italy's Artificial Intelligence (AI) in Healthcare Market is projected to grow from $0.17 Bn in 2022 to $3.19 Bn by 2030, registering a CAGR of 44.72% during the forecast period of 2022-30. The Italian National Health Service (SSN) is largely decentralized, with each area responsible for coordinating and delivering health services to the people. The federal government determines the national benefits package and funds regional health systems. As in the majority of high-income nations, the leading causes of mortality in Italy are cardiovascular diseases and cancer, and as of 2020, infectious respiratory disorders. In Italy, the AI market increased by +27% in 2021 (380 million euros), more than doubling its value in just two years.

In Italy, artificial intelligence (AI) is progressively being adopted and used in healthcare. Medical imaging is one of the primary areas where AI is employed in healthcare in Italy. AI is being used by researchers at the University of Bologna to create a program that can detect symptoms of lung cancer in CT images with high accuracy. AI is also being utilized to increase diagnostic test accuracy. Researchers at the University of Brescia, for instance, have created an AI-based tool that can predict the likelihood of acquiring Alzheimer's disease by assessing a patient's medical history, genetics, and brain scans. Furthermore, AI is being used in the advancement of precision medicine. AI is also being utilized to improve healthcare delivery in Italy, in addition to these applications. Patients are using chatbots and virtual assistants to arrange appointments, get health information, and manage chronic diseases. AI-powered solutions are also being utilized to improve patient monitoring and early disease identification.

In 2022, the University of Turin joined a diversified portfolio of partners that includes Synlab Italia, Synlab SDN, BioCheckUp, the Institute Italiano di Tecnologia, the University of Naples Federico II, ART-ER Attractiveness Research Territory, and Fondazione Bruno Kessler. Artificial intelligence (AI) is rapidly shifting the Italian healthcare business and is poised to become a crucial tool for healthcare practitioners, researchers, and politicians.

Italy artificial intelligence in healthcare market report 2022 to 2030

Market Dynamics

Market Growth Drivers

The Italian Ministry of Economic Development presented a basic outline of their National AI plan for public comment in October 2020. (Italy, 2020). The draught AI plan gives a long-term vision for AI development that is sustainable. Moreover, the increasing demand for innovative and effective healthcare services is one of the major growth drivers of AI in healthcare in Italy. The aging population, increased chronic diseases, and rising healthcare expenses put pressure on the healthcare system to discover more effective and cost-effective ways to provide care.

Furthermore, the rising availability of healthcare data and the implementation of electronic health records (EHRs) are pushing the expansion of AI in healthcare. The massive volumes of data produced by EHRs, medical devices, and wearables can be utilized to train AI algorithms, which can then assist physicians in making more accurate diagnoses, identifying high-risk patients, and personalizing treatment programs.

Market Restraints

There are also various barriers to the expansion of AI in healthcare in Italy. One of the key concerns is the absence of healthcare data standardization and interoperability. Data created by multiple healthcare providers and systems may be incompatible, making data integration and analysis challenging. This has the potential to limit the effectiveness of AI systems and impede their adoption in healthcare. Another challenge is the limitation of money and resources for AI research and development in healthcare. While there are various AI startups and companies focusing on healthcare in Italy, they frequently encounter financial limits and struggle to expand their solutions to a larger market. Furthermore, there are ethical and legal problems with the use of AI in healthcare, such as data privacy and bias that could potentially limit the market expansion.

Notable Insights

February 2023, GE HealthCare to Acquire Caption Health The acquisition adds AI-enabled image guiding to the ultrasound device portfolios of GE HealthCare's $3 billion Ultrasound division
In November 2021, GE Healthcare introduced several artificial-intelligence-powered systems and technologies to improve imaging, diagnostics, genetic analysis, and clinical processes and collaborated with Optellum and Cambridge

Competitive Landscape

Key Players

IBM Watson Health
Google Health
NVIDIA Corporation
GE Healthcare
Philips Healthcare
Amazon Web Services
TeiaCare (ITA)
Horus Technology (ITA)
surgiQ (ITA)
Amiko (ITA)
RiAtlas (ITA)
MyWay Genetics (ITA)

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

Italy Artificial Intelligence (AI) in Healthcare Market Segmentation

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.