Mexico Artificial Intelligence (AI) in Healthcare Market Report 2022 to 2030

Mexico Artificial Intelligence (AI) in Healthcare Market Analysis

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Mexico's Artificial Intelligence (AI) in the healthcare market is projected to grow from $0.1 Bn in 2022 to $2.08 Bn by 2030, registering a CAGR of 45.47% during the forecast period of 2022-2030. The market will be driven by the increase in demand for improved healthcare services and government initiatives in improving healthcare infrastructure. The market is segmented by healthcare components & by healthcare applications. Some of the major players include IBM Watson Health, PROSPERiA & WelbeCare.

ID: IN10MXDH003 CATEGORY: Digital Health GEOGRAPHY: Mexico AUTHOR: Vidhi Upadhyay

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Mexico Artificial Intelligence (AI) in Healthcare Market Executive Summary

The Mexico Artificial Intelligence (AI) in Healthcare Market is projected to grow from $0.1 Bn in 2022 to $2.08 Bn by 2030, registering a CAGR of 45.47% during the forecast period of 2022 - 2030. Mexico's budget for 2022 included a 14.6% rise in healthcare sector resources, primarily to address Covid-19, but it additionally prioritizes first and second-level care for high-speciality diseases like diabetes, cancer, and heart disease. Public healthcare organisations provide 70-80 % of the total of all health services nationwide, while private health organizations serve 25-30% of the Mexican population. Mexico recorded 704,358 more deaths than expected between 2020 and 2021, with COVID-19 being the leading cause, followed by heart disease and diabetes.

Adoption and utilization of artificial intelligence (AI) in healthcare in Mexico is still in its beginning phases, but it is rapidly expanding into a variety of applications such as telemedicine, which has been rapidly adopted in Mexico, particularly during the COVID-19 pandemic. In Mexico, many hospitals are implementing Hospital Information Systems (HIS) that use AI algorithms to aid in medical decisions, allocation of resources, and predictive modeling. AI-powered medical imaging technologies, such as computer-aided diagnosis (CAD) systems, are increasingly being used in Mexico to aid in disease detection and diagnosis. Moreover, various Mexico-based startups such as PROSPERiA, Unima, Mural Med & AGEMED have been utilizing AI solutions to leverage healthcare services.

Mexico Artificial Intelligence (AI) In Healthcare Market

Market Dynamics

Market Growth Drivers

Mexico is experiencing an increase in demand for improved healthcare services, especially among rural residents. Mexico generates a lot of healthcare data, such as electronic health records, medical images, and genomics data. AI can assist in the processing of this data and provide insights to enhance decision-making. The Mexican government has expressed a strong desire to promote the use of AI in healthcare. Several attempts have been made, including investments in R&D and the creation of a regulatory framework. AI advancements such as natural language processing, computer vision, and machine learning are allowing for the creation of more advanced healthcare applications.

Market Restraints

Mexico continues to face healthcare infrastructure challenges, particularly in rural areas, such as a lack of internet connectivity and outdated IT infrastructure. The use of AI in healthcare necessitates access to sensitive patient data, which raises privacy and security concerns. Implementing AI applications in healthcare can necessitate significant resources, both human and monetary. Smaller healthcare providers may have difficulty investing in AI technologies.

Competitive Landscape

Key Players

IBM Watson Health
Google DeepMind Health
Microsoft Healthcare
Amazon Web Services (AWS) Healthcare
General Electric (GE) Healthcare
NVIDIA Healthcare
WelbeCare (MEX)
PROSPERiA (MEX)
Yana (MEX)
Unima (MEX)
Mural Med (MEX)
Thermy (MEX)
RobboCoach (MEX)

Notable Insights

July 2022, Cardo Health is collaborating with Prosperia, an MIT Media Lab social impact spinoff, to bring digital healthcare to Mexico. Prosperia has developed an integrated AI-based solution to massify diabetes detection and treatment and is now looking to expand its services, offering high-quality digital healthcare to Mexico's 130 million residents.

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

Artifical Intelligence (AI) in Healthcare Market Segmentation

The 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.