Digital Health
Mexico Artificial Intelligence (AI) in Diagnostics Market Analysis
Mexico's Artificial Intelligence (AI) in the diagnostics market is projected to grow from $15 Mn in 2022 to $xx Mn 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 availability of cutting-edge information technology. The market is segmented by component & by diagnosis. Some of the major players include IBM Watson Health, Siemens Healthineers & PROSPERiA.
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Mexico Artificial Intelligence (AI) in Diagnostics Market Executive Summary
The Mexico Artificial Intelligence (AI) in the diagnostics market is projected to grow from $15 Mn in 2022 to $xx Mn by 2030, registering a CAGR of xx% during the forecast period of 2022 - 2030. Mexico's healthcare system is a hybrid of state and private providers. The private healthcare sector is equally important in Mexico's healthcare system, particularly for those who can afford it. Private healthcare institutions are often seen to provide better treatment than public facilities, but for a greater cost. According to WHO statistics from 2020, the number of coronary heart disease deaths in Mexico reached 116,238 (or 18.83% of total fatalities).
The usage of diagnostic AI in Mexico is rapidly increasing, with exciting research and initiatives taking place in a range of medical fields like radiology, pathology, oncology, cardiology, neurology, and others. While there are still challenges to overcome, such as regulatory limits and data availability problems, the potential benefits of diagnostic AI are considerable, and it is projected to play an increasingly important role in Mexico’s healthcare in the future years. Artificial intelligence (AI) is expected to have a substantial impact on Mexico’s medical practice.
Market Dynamics
Market Growth Drivers
Mexico unveiled its Artificial Intelligence (AI) plan in 2018. In addition, in 2018, nine organizations from various sectors formed the IA2030Mx citizen alliance, emphasizing the need for a nationwide, interdisciplinary, multi-sector, and inclusive exercise to establish a plan of action that would benefit the government, academia, civil society, and industry. Furthermore, the rising frequency of chronic illnesses, the rising need for more precise and effective diagnostic solutions, and the availability of cutting-edge information technology are likely to propel market growth.
Market Restraints
The lack of standardized healthcare data is one of the most significant challenges. AI systems cannot be properly taught without a consistent and dependable dataset. Furthermore, there may be privacy and security considerations that limit the sharing of healthcare data. Another issue is the shortage of trained workers. AI algorithms necessitate the development and maintenance of trained individuals, and Mexico may experience a scarcity of workers with essential abilities.
Competitive Landscape
Key Players
- IBM Watson Health
- Siemens Healthineers
- Philips Healthcare
- GE Healthcare
- Google Health
- Lunit Inc.
- PROSPERiA (MEX)
- Unima (MEX)
- Thermy (MEX)
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
- In June 2022, PROSPERiA, an AI-based firm, acquired $2 Mn in seed funding to increase the scope of its diagnostic solutions to the rest of Mexico. PROSPERiA's solutions for identifying chronic illnesses in developing markets, which were first introduced in 2021, have already been utilized to screen 10,000 patients, discovering over 4,500 probable pathologies
Healthcare Policies and Regulatory Landscape
The Federal Commission for Protection against Sanitary Risks (COFEPRIS), a decentralized Ministry of Health entity, is in charge of applying and enforcing the regulatory framework with respect to pharmaceuticals, biologicals, and medical devices. The General Health Law (Ley General de Salud) (HL) and its Regulations are the major pieces of law regulating the authorization, price, and reimbursement of medical devices. COFEPRIS's Guidelines and Official Norms (NOMS) augment these laws and regulations.
Reimbursement Scenario
Social security institutions solely oriented to formal workers, with funding coming from the federal government, the employer, and the employee, such as the Mexican Institute of Social Security (IMSS), Institute of Social Security for State Workers (ISSSTE), Specialised state entities for representatives of the military and navy force (ISSFAM), PEMEX Medical Services, for Mexican petroleum workers, and Public institutions exclusively directed to formal workers, such as the: Mexican Institute of Social Security (IMSS), Institute of Social Security for State Workers (ISSSTE), Specialised public institutions for (INSABI). as well as public health institutes.
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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The rising frequency of chronic illnesses and the availability of cutting-edge information technology are the major drivers of Artificial Intelligence (AI) in the diagnostics market in Mexico.
IBM Watson Health, Siemens Healthineers, Philips Healthcare, GE Healthcare, Google Health, AliveCor, Inc., Lunit Inc., PROSPERiA, Unima & Thermy are the major players in the Artificial Intelligence (AI) in the Diagnostics market in Mexico.
Artificial Intelligence (AI) in the diagnostics market in Mexico is segmented by component and by diagnosis.
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