France Artificial Intelligence in Healthcare Market Report 2022 to 2030

France Artificial Intelligence (AI) in Healthcare Market Analysis

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France's Artificial Intelligence (AI) in the healthcare market is projected to grow from $0.19 Bn in 2022 to $3.55 Bn by 2030, registering a CAGR of 44.22% during the forecast period of 2022-30. The market will be driven by the increasing healthcare demands and the strong healthcare system of France. The market is segmented by healthcare components & by healthcare applications. Some of the major players include IBM Watson Health, Therapixel & Moon Surgical.

ID: IN10FRDH003 CATEGORY: Digital Health GEOGRAPHY: France AUTHOR: Vidhi Upadhyay

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France Artificial Intelligence (AI) in Healthcare Market Executive Summary

France's Artificial Intelligence (AI) in the healthcare market is projected to grow from $0.19 Bn in 2022 to $3.55 Bn by 2030, registering a CAGR of 44.22% during the forecast period of 2022 - 2030. France is the world's seventh-largest economy, with an estimated GDP of $2.94 trillion in 2021 and $2.63 trillion in 2022, and Europe's third-largest economy after Germany and the United Kingdom. Cancer and cardiovascular illnesses had the greatest impact in France in 2019, accounting for around 3.83 and 2.31 million DALYs, respectively. The leading causes of death continue to be coronary heart disease, Alzheimer's disease, dementia, stroke, and lung cancer in France.

In France, artificial intelligence (AI) is playing an increasingly crucial role in healthcare, with a number of enterprises and academic organizations developing and deploying AI-powered solutions to improve patient outcomes and expedite healthcare procedures. Medical imaging is an important area of focus for AI in healthcare in France. Therapixel, a French firm, has developed an AI-powered breast cancer detection system that has been certified for use in French hospitals. AI is being used by companies such as Owkin to analyze massive volumes of medical data in order to identify novel drug targets and produce more effective medical therapies. Awell Health, based in Paris, has created an AI-powered platform that assists hospitals and clinics in managing patient flows, optimizing resource allocation, and improving the overall service quality.

france artificial intelligence in healthcare market

Market Dynamics

Market Growth Drivers

With an aging population and rising healthcare expenses, France's healthcare systems are under increasing pressure to develop ways to deliver more efficient and effective care. France has a strong healthcare system that produces an extensive amount of patient data, such as electronic health records and medical imaging. Large datasets are required to train and refine AI algorithms, making France a perfect setting for the development of AI-powered healthcare solutions. The French government has been a strong supporter of AI innovation, investing in R&D and establishing a favorable legislative framework for the adoption of AI-powered healthcare solutions. All of these add up to the expansion of the AI Healthcare market in the forecast years.

Market Restraints

Even though the French government has been supportive of AI innovation, there are still legislative challenges that must be resolved. There are concerns about data privacy and the possibility of bias in AI systems, which must be properly handled to ensure patient safety. In France, as in many other countries, the adoption of new technology can be delayed. Some healthcare providers may be hesitant to implement AI-powered solutions owing to job displacement fears or a lack of expertise with the technology. While there is an increasing interest in AI-powered healthcare solutions, funding for these initiatives might be difficult to come by. Many healthcare providers in France may lack the resources to invest in new technologies, and funding from government or private sources may be scarce. All of the above factors may contribute to slowing down the adoption of AI in Healthcare in France.

Competitive Landscape

Key Players

IBM Watson Health
Google Health
NVIDIA Corporation
GE Healthcare
Philips Healthcare
Siemens Healthineers
Therapixel (FRA)
Owkin (FRA)
Awell Health (FRA)
Diabeloop (FRA)
Lifen (FRA)
Dreem (FRA)
Synapse Medicine (FRA)
Moon Surgical (FRA)
Aqemia (FRA)

Notable Insights

January 2023, GE HealthCare has agreed to acquire IMACTIS (Grenoble, France), a pioneer in the rapidly expanding field of computed tomography (CT) interventional guidance across a wide range of care areas
January 2023, based in Marseille, France Volta Medical, a health tech business that develops unique Artificial Intelligence (AI) algorithms to treat cardiac arrhythmias, announced a €36M Series B round of funding
September 2022, Owkin, an artificial intelligence (AI) biotech firm, announced today the approval for use in Europe of two first-in-class quick, cheap AI-based diagnostic products targeted to enhance outcomes for patients with breast cancer and colorectal cancer

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 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.