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

Italy Artificial Intelligence (AI) in Medical Imaging Market Analysis

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Italy's artificial intelligence (AI) in medical Imaging market size was valued at $36 Mn in 2022 and is estimated to expand at a compound annual growth rate (CAGR) of 34.9% from 2022 to 2030 and will reach $395 Mn. The market is segmented by AI technology, solution, modality, application, and end User. Due to developments in AI and machine learning algorithms that are enabling the creation of more precise and effective medical imaging software, the Italy Artificial Intelligence (AI) in the Medical Imaging market will expand. Some of the key players in this market are Canon Medical Systems, Barco, Medtronic, GE Healthcare, Siemens Healthineers, Hologic, Koninklijke Philips, Fujifilm, Brainomix, Quibim, and others.

ID: IN10ITDH023 CATEGORY: Digital Health GEOGRAPHY: Italy AUTHOR: Chandani Patel

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Italy Artificial Intelligence (AI) in Medical Imaging

Market Executive Summary

Italy's artificial intelligence (AI) in medical Imaging market size was valued at $36 Mn in 2022 and is estimated to expand at a compound annual growth rate (CAGR) of 34.9% from 2022 to 2030 and will reach $395 Mn. Italy's health expenditure on AI technology is not readily available. However, according to a report by Market Research Future, the Italy Artificial Intelligence (AI) in the Medical Imaging market is expected to grow at a CAGR of 35.3% from 2019 to 2025.

Accurate illness diagnosis and treatment are made possible by medical imaging, which is a crucial component of healthcare. Technology and digital data have revolutionised the photographic industry. As a result, over the past several years, the adoption of AI-based solutions in the healthcare industry has expanded. In the future years, these factors are expected to propel the market for artificial intelligence in medical imaging.

Palpation was one of the few imaging diagnostic techniques accessible in the past; however, today, there are several techniques available, including x-ray, CT, MRI, and (3D) ultrasound. The market for AI in medical imaging is supported by the use of AI to enhance accuracy, speed up interpretation, and decrease repetition for radiologists.

There are various regions in Italy where Artificial Intelligence (AI) is being used in Medical Imaging. For example, in the region of Lombardy, the IRCCS San Raffaele Scientific Institute has implemented an AI-powered image analysis system for early detection of breast cancer. In the Emilia-Romagna region, a research project called PECULIAR is being conducted to develop AI-based tools for precision oncology. The University of Naples Federico II in the Campania region is using AI algorithms to analyze brain MRI images and predict the progression of Alzheimer's disease. Similarly, the University of Catania in Sicily is working on an AI system to detect lung nodules from CT scans. Therefore, the demand for AI in medical imaging in Italy will increase in the coming years.

italy AI in medical imaging-market

Market Dynamics

Market Growth Drivers

The market drivers for Artificial Intelligence (AI) in Medical Imaging in Italy include the need to improve diagnostic accuracy and efficiency, reduce healthcare costs, and improve patient outcomes. AI technology can help in early detection of diseases, identification of subtle changes in medical images, and improving the accuracy of diagnoses. Additionally, the increasing prevalence of chronic diseases and the aging population in Italy are also driving the demand for AI in medical imaging.

Market restraints:

The major restraints for the AI in medical imaging market in Italy include concerns related to data privacy and security, lack of awareness among healthcare professionals about AI technology, and regulatory challenges. The implementation of AI technology requires significant changes in the current healthcare infrastructure and processes, and this can be a barrier to adoption. The lack of standardization and interoperability of AI systems is also a major challenge in the Italian market.

Competitive Landscape

Key Players

Esaote
Canon Medical Systems
Barco
Medtronic
GE Healthcare
Siemens Healthineers
Hologic
Koninklijke Philips
Fujifilm
Brainomix
Quibim
Ultromics
Mirada Medical
Kheiron Medical
Zebra Medical Vision
Aidoc
Lunit
Vuno
icometrix
MaxQ AI

Recent Developments

Some of the leading companies in Italy's AI in Medical Imaging market include Esaote S.p.A., Brainance S.r.l., and Aiforia Technologies Oy. Esaote S.p.A. is a medical technology company that develops and produces diagnostic imaging systems, including MRI, ultrasound, and X-ray systems. Brainance S.r.l. is a start-up that develops AI algorithms to aid in the diagnosis of neurological disorders using MRI scans. Aiforia Technologies Oy is a Finnish company that provides AI-powered image analysis software for pathology and medical research.

Healthcare Policies and Regulatory Landscape

The main regulatory body for healthcare in Italy is the Italian Ministry of Health, which oversees the development and implementation of policies related to healthcare, medical devices, and pharmaceuticals. In addition, the Italian Medicines Agency (AIFA) is responsible for regulating medical devices and pharmaceuticals in the country.

The use of AI in medical imaging falls under the broader umbrella of medical devices, which are regulated by the European Union (EU) through the Medical Device Regulation (MDR). The MDR applies to all medical devices, including those that incorporate AI or machine learning technologies, and requires that they undergo a rigorous process of testing and certification before they can be marketed and sold in the EU.

In addition, the General Data Protection Regulation (GDPR) applies to the use of personal data in healthcare, including data used in medical imaging. The GDPR establishes strict rules for the collection, use, and storage of personal data, including requirements for informed consent, data security, and the right to be forgotten. Overall, while there are no specific regulations in Italy that address the use of AI in medical imaging, healthcare providers and medical device manufacturers must comply with EU regulations and the GDPR when developing and implementing AI technologies in healthcare. It is also important to note that regulations and policies are subject to change over time, and healthcare professionals and industry stakeholders should stay up-to-date on any new developments or updates to existing regulations.

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 Medical Imaging Market Segmentation

By AI Technology

Deep Learning
Natural Language Processing (NLP)
Others

By Solution

Software Tools/ Platform
Services
- Integration
- Deployment

By Modality

When compared to CT scans, magnetic resonance imaging can produce pictures that are free of imperfections. Due to its efficiency in obtaining details and better-quality pictures of soft tissues, the MRI is frequently seen as a superior alternative to X-rays. Utilizing optical coherence tomography, three-dimensional interactions between the retina and membranes are made possible in order to control the vitreoretinal disease.

CT Scan
MRI
X-rays
Ultrasound Imaging
Nuclear Imaging

By Application

The market is dominated by the digital pathology segment, which can be linked to pathologists' rising productivity. A validation tool for image analytics is provided by digital pathology, helping pathologists process more slides in less time. This facilitates early illness identification and quicker therapy initiation. AI and digital pathology also assist doctors in making patient-centered decisions. The oncology market is also expected to grow in popularity as more individuals become aware of cancer and its increased incidence in the public. Personalized therapy is made possible by artificial intelligence algorithms that identify and comprehend the nature of malignancies. The second section focUses on AI-driven diagnostic imaging for the heart, brain, breast, and mouth.

Digital Pathology
Oncology
Cardiovascular
Neurology
Lung (Respiratory System)
Breast (Mammography)
Liver (GI)
Oral Diagnostics
Other

By End Use

The market is dominated by the healthcare sector. This is becaUse hospitals are widely dispersed and accessible; hence, many patients like hospitals. The market for medical imaging AI is also anticipated to benefit from favorable reimbursement regulations. During the anticipated time, diagnostic centers are anticipated to grow in popularity. This may be attributable to elements including rising patient awareness and a desire for diagnostic procedures and tests, all of which are fueling the market's expansion. Due to its ease in providing high-quality medical facilities in remote places, particularly rural ones, the ambulatory category is expected to develop at a quicker CAGR throughout the projection period. The availability of qualified surgeons and a surplAustralia of the necessary equipment are contributing to the expansion of the hospital market. Government assistance in emerging nations is likely to boost hospital infrastructure and technologies throughout the forecast period, which is anticipated to caUse the hospital segment to see growth.

Hospital and Healthcare Providers
Patients
Pharmaceuticals and Biotechnology Companies
Healthcare Payers
Others

Methodology for Database Creation

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How Do We Get It?

Our database is created and maintained through a combination of secondary and primary research methodologies.

1. Secondary Research

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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.