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

Italy Artificial Intelligence (AI) in Diagnostics Market Analysis

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Italy's Artificial Intelligence (AI) in the diagnostics market is projected to grow from $0.02 Bn in 2022 to $0.26 Bn by 2030, registering a CAGR of 34.5% during the forecast period of 2022-30. The market will be driven by the increased prevalence of chronic illnesses, the demand for enhanced diagnostic accuracy, and the availability of innovative AI and machine learning technologies. The market is segmented by component & by diagnosis. Some of the major players include GE Healthcare, IBM Watson Health & Infermedica.

ID: IN10ITDH002 CATEGORY: Digital Health GEOGRAPHY: Italy AUTHOR: Vidhi Upadhyay

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Italy Artificial Intelligence (AI) in Diagnostics Market Executive Summary

Italy's Artificial Intelligence (AI) in the diagnostics market is projected to grow from $0.02 Bn in 2022 to $0.26 Bn by 2030, registering a CAGR of 34.5% during the forecast period of 2022-30. The Italian public health system is regarded as one of the greatest in the world, with nearly all patient expenditures covered. The system emphasizes both preventative and curative care. The Servizio Sanitario Nazionale (SSN), Italy's national health service, offers inhabitants with free or inexpensive healthcare, including access to health personnel (GPs), treatment at government hospitals, subsidized drugs, lab facilities, ambulance services, and some specialist care. According to WHO statistics published in 2020, the number of Coronary Heart Disease fatalities in Italy reached 97,116, accounting for 17.89% of all deaths.

Improved imaging systems, smart robots, wearable technology, AI-based data processing, and simulation platforms are some examples of AI capabilities. It has applications in a variety of sectors such as Radiology, Pathology, Oncology, Cardiology, Neurology, and others. The first Pervasive Artificial Intelligence Laboratory (PAI Lab) was launched in Pisa in April 2021. The PAI laboratory arose from the necessity to pool expertise, infrastructure, and resources to address the scientific problems posed by an AI that is rapidly becoming a widespread technology. 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.

italy artificial intelligence in diagnostics market analysis

Market Dynamic

Market Growth Drivers

The Artificial Intelligence (AI) in Diagnostics market in Italy is quickly expanding, owing to factors such as the increased prevalence of chronic illnesses, the demand for enhanced diagnostic accuracy, and the availability of innovative AI and machine learning technologies. In Italy, a huge number of creative start-ups and established organisations, both local and international are creating and deploying AI-based diagnostic solutions. The Italian government has aggressively supported the expansion of AI in diagnostics through efforts including as R&D funding, the construction of a legal framework, and investment in digital infrastructure. The Ministry of Economic Development has established a national AI plan that includes steps to assist the development and deployment of AI-based diagnostic solutions.

Market Restraints

There are also various obstacles and constraints that must be solved in the Italian AI in Diagnostics sector. They include technical difficulties like the requirement for high-quality data and system compatibility, as well as regulatory compliance issues like data privacy and security. Moreover, better coordination between multiple players in the healthcare ecosystem, such as healthcare providers, technology firms, and regulators, is required in Italy.

Competitive Landscape

Key Players

GE Healthcare
IBM Watson Health
Siemens Healthineers
Philips Healthcare
Google Health
AliveCor, Inc.
Riverain Technologies
Infermedica (ITA)
GenomeUp (ITA)
MedLea (ITA)
Novartis

Notable Deals

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.

Healthcare Policies and Regulatory Landscape & Reimbursement Scenario

According to the Italian plan, an ethical regulatory framework for AI must promote openness, accountability, and dependability in order to foster people' confidence and involvement in a healthy AI ecosystem. The Ministry of Technological Innovation and Digitalisation's 2020 Strategy for Technological Innovation and Digitalisation envisages the formation of an 'Alliance for Sustainable Artificial Intelligence' to provide core principles for the development of trustworthy AI solutions. The national AI strategy also highlights the necessity of public education campaigns on the features, prospects, and hazards of AI, as well as its possible abuse.

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.