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

Argentina Artificial Intelligence (AI) in Diagnostics Market Analysis

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Argentina's Artificial Intelligence (AI) in the diagnostics market is projected to grow from $xx Bn in 2022 to $xx Bn by 2030, registering a CAGR of xx% during the forecast period of 2022-2030. The market will be driven by the rising frequency of chronic illnesses and the growing requirement for more accurate and efficient diagnostic instruments. The market is segmented by component & by diagnosis. Some of the major players include IBM Watson Health, Siemens Healthineers & ÜMA.

ID: IN10ARDH002 CATEGORY: Digital Health GEOGRAPHY: Argentina AUTHOR: Vidhi Upadhyay

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Argentina Artificial Intelligence (AI) in Diagnostics Market Executive Summary

Argentina's Artificial Intelligence (AI) in the Diagnostics market is projected to grow from $xx Bn in 2022 to $xx Bn by 2030, registering a CAGR of xx% during the forecast period of 2022 - 2030. Argentina's healthcare system is divided into four components: public hospitals, Social Security/union-run health insurance, private medical insurance (prepagas), and PAMI. Argentina's healthcare is often regarded as the best in Latin America. In big cities such as Buenos Aires, Córdoba, and Mendoza, the grade of treatment is typically considered outstanding. According to the most recent WHO statistics published in 2020, the number of Coronary Heart Disease fatalities in Argentina reached 48,765, accounting for 17.64% of all deaths.

AI would enable doctors to evaluate huge volumes of data, such as medical imaging, test results, and patient history, to make more educated and accurate diagnoses. It might be used to detect cancer, prioritize critical medical imaging findings, highlight urgent anomalies, help radiologists target life-threatening patients, diagnose cardiac arrhythmias, predict stroke prognosis, and support in chronic disease management. An AI-based diagnostic tool for COVID-19 was created by a team of researchers from the University of Buenos Aires. The technology analyses chest X-rays to discover disease-related patterns.

Market Dynamics

Market Growth Drivers

The Argentine Association of Pathology and the National University of La Plata had started an initiative to create an AI-based system for breast cancer diagnosis. The method identifies malignant cells by analyzing scans of tissue samples. The increased demand for healthcare services as a result of a growing and aging population entails the development of more efficient and accurate diagnostic technologies. Furthermore, the growing accessibility to healthcare data, including electronic health records and other digital health technologies, is contributing to the growth of AI in diagnostics. Advances in AI technology, such as new algorithms and techniques, are also contributing to the growth of AI in diagnostics. Additionally, there is rising support in Argentina from both the government and the commercial sector, which may contribute financing and resources for the development and implementation of AI-based diagnostic tools. Overall, these factors are driving the growth of AI in diagnostics in Argentina and have the potential to improve healthcare outcomes in the country.

Market Restraints

The absence of consistent data and standards is one of the most significant challenges. This makes developing and validating AI models challenging. Another difficulty is the scarcity of resources for AI-based diagnostic tool research and development. This difficulty is exacerbated by the high cost of technology and a lack of investment in healthcare facilities in some sections of the country.

Competitive Landscape

Key Players

IBM Watson Health
Siemens Healthineers
Philips Healthcare
GE Healthcare
Google Health
Lunit Inc.
Qure AI
ÜMA (ARG)
Entelai (ARG)

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
December 2020, AstraZeneca collaborates with Qure.ai to enhance early-stage lung cancer diagnosis and reduce death rates across South America, Asia, the Middle East, and Africa

Healthcare Policies and Regulatory Landscape

Argentina's major health authority is the National Ministry of Health (MoH). The National Agency of Medicines, Food, and Medical Technology ("ANMAT") was established as the national health authority in charge of registering and/or granting authorization to individuals and businesses that participate in the supply, generation, manufacturing, fractioning, import, and export, storage of goods, and commercialization of pharmaceutical products and medical devices, as well as managing the implementation of such activities.

Reimbursement Scenario

In Argentina, the national healthcare insurance system, known as the National Institute of Social Services for Retirees and Pensioners (INSSJP), is mostly responsible for the reimbursement of health solutions. The amount of payment, however, might vary based on the individual remedy and the patient's insurance coverage.

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.

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IBM Watson Health, Siemens Healthineers, Philips Healthcare, GE Healthcare, Google Health, Lunit Inc., Qure AI, ÜMA & Entelai are the major players of Artificial Intelligence (AI) in the diagnostics market in Argentina.

The rising frequency of chronic illnesses and the growing requirement for more accurate and efficient diagnostic instruments are the two major drivers of Artificial Intelligence (AI) in the diagnostics market in Argentina.

Artificial Intelligence (AI) in the diagnostics market in Argentina is segmented by component and by diagnosis.