Latin America Artificial Intelligence (AI) in Diagnostics Market Analysis

Latin America Artificial Intelligence (AI) in Diagnostics Market Analysis


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This report presents a strategic analysis of the Latin America Artificial Intelligence (AI) in the Diagnostics Market and a forecast for its development in the medium and long term. It provides a broad overview of the market dynamics, trends and insights, growth drivers and restraints, segmentation, competitive landscape, healthcare policies and regulatory framework, reimbursement scenario, challenges, and future outlook. This is one of the most comprehensive reports about Latin America Artificial Intelligence (AI) in the Diagnostics Market, offering unmatched value, accuracy, and expert insights.

ID: IN10LADH002 CATEGORY: Digital Health GEOGRAPHY: Latin America

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Latin America Artificial Intelligence (AI) in Diagnostics Market Executive Summary

Total spending in Latin American regions like Argentina and Brazil is driven by large shares of out-of-pocket and private voluntary insurance expenditures; whereas publicly mandated and supported financing in Chile and Uruguay dominates the composition of the health sector. Several Latin American countries like Argentina, Brazil, Uruguay, and Chile spend at levels observed in universal coverage systems of high-income countries, which typically spend between 8% to 11% of their GDP on health.

The cost of healthcare in places such as Mexico, Columbia, and Panama is significantly less than in the US, despite offering excellent quality of care. Compared to the US, medical procedures in Mexico and Costa Rica can save you 36% – 89% and 44% – 89%, respectively.

The region is home to more than 18,000 hospitals, and Latin America offers plenty of choices for healthcare. One shocking Latin American healthcare statistic is that Brazil is home to more hospitals than in the US alone, with 6,451 hospitals in 2021. Additionally, 42.6% of the top hospitals in Latin America are located in Columbia. The best hospitals in Latin America are located in larger cities, while facilities in remote and rural areas often do not suffice.

Digital healthcare is developing globally as a result of IT technology development and the emergence of remote patient monitoring (RPM) solutions. RPM has developed into a useful tool for enhancing clinical assessment and decision-making while lowering the likelihood of hospitalization. With the prevalence of cancer, diabetes and cardiovascular diseases rising, RPM service use is also anticipated to rise. Additionally, as the aging population grows, more of them are choosing independent, healthy lifestyles, which will probably increase the adoption of RPM solutions.

AI in medical diagnostics includes AI solutions that aid physicians with medical decision-making. AI-based solutions can be used to diagnose cancer, triage critical findings in medical imaging, flag acute abnormalities, help radiologists prioritize life-threatening cases, diagnose cardiac arrhythmias, predict stroke outcomes, and help with the management of chronic diseases.

Market Size and Key Findings

The Global Artificial Intelligence (AI) in Diagnostics market is estimated to be valued at US$ 93.5 Bn in 2021 and is expected to exhibit a CAGR of 38.1% over the forecast period (2021-2030).

Latin America Artificial Intelligence (AI) in Diagnostics Market Size (In USD Bn) (2021-2030F)

Market Dynamics

Market Growth Drivers Analysis

Large and complicated data are produced at various stages of the care delivery process as a result of the growing digitalization and use of information technologies in the healthcare sector. In the field of medical diagnostics, big data includes, among other things, the information generated by clickstream and online & social media interactions, as well as readings from medical equipment including sensors, ECGs, X-rays, and other imaging devices, as well as medical claims and other billing records. It also includes biometric data. With the increasing acceptance of EHRs, digital laboratory slides, and high-resolution radiological images among healthcare practitioners over the past ten years, big data and analytical solutions have become exponentially more sophisticated and widely used. Particularly in the US, one of the top five big data businesses in healthcare. The usage of bidirectional patient portals, which enable patients to upload data and photos to their EMRs, is anticipated to result in a rise in the volume of big data in medical diagnostics in the upcoming years

Market Restraints

With the use of AI technology, doctors can better diagnose and treat patients. However, it has been noted that doctors are reluctant to adopt new technology. For instance, doctors mistakenly believe that AI would eventually supplant them in the medical field. Because empathy and persuasion are considered to be human abilities, doctors and radiologists think that the use of technology cannot entirely replace the need for a physician. It's also feared that patients may have an unhealthy preference for these technologies and avoid critical in-person treatments, which might put long-term doctor-patient relationships at risk. Many medical practitioners are skeptical of AI's ability to correctly diagnose patient problems.

As a result, it is difficult to persuade providers that AI-based solutions are economical, effective, and secure options that provide doctors with convenience and improved patient care. Healthcare organizations are, however, more open to the potential advantages of AI-based solutions and the variety of fields they may be used in. As a result, it's possible that in the years to come, physicians and radiologists may be more receptive to AI-based healthcare technology.

Competitive Landscape

Key Players

The prominent players operating in this market include Aidoc; AliveCor, Inc.; Vuni, Inc.; Digital Diagnostics, Inc.; Siemens Healthineers; Neural Analytics; Riverain Technologies; Zebra Medical Vision, Inc; GE Healthcare; Imagen Technologies

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

Insights10 will provide you with the reports within 10 key parameters which are:

  1. Market Overview
  2. Market Growth Drivers & Restraints
  3. Epidemiology of Disease Type
  4. Market Segmentation
  5. Market Share
  6. Competitive Landscape
  7. Key Company Profiles
  8. Healthcare Policies & Regulatory Framework
  9. Reimbursement Scenario
  10. Factors Driving Future Growth

Based on our many years of experience, we believe that these are the parameters that are critical to decision-making for business stakeholders. Our focused approach to developing reports focused on 10 key parameters, enabled us to arrive at the name “Insights10”.

 

Stage I: Market Data Collection

Primary Interviews: We have developed a network of experts, freelancers, and researchers across countries through which we engage with local experts to gather key data points and assumptions about each market. We also engage regularly with some of the best market research agencies such as Atheneum, GuidePoint, GLG, etc. to conduct surveys and interviews, and build intelligence. We have language translators as a part of our team, who between them can cover 30+ languages allowing us to extract better local insights.

Secondary Data Collection: We have developed strong expertise and experience in secondary data collection methods for developing unique data sets and research material. We gather data from multiple reliable sources to maintain a high level of accuracy and consistency. The market data is analyzed and forecasted using appropriate statistical and coherent models. The report offers an overall analysis of the market size, growth, and market share as well as a segment-level analysis of the specific market. Our report includes precise, to-the-point information related to the overall market, competition, growth drivers, challenges, regulatory updates, and competition.

Data Sources: We have access to multiple highly reliable free and subscription data sources. We have many years of experience to understand which sources are more dependable for what and which to prefer for the reliable and latest information. The key sources of information include the following, but are not limited to:

 

 

Stage II: Market Data Analysis and Statistical Model

Market Trends: We generally look at macro parameters and micro indicators. The macro parameters include changes in government policies, demand and supply of the market, government intervention programs, and major market share. The micro indicators are GDP growth, market size, market volume, etc. We also understand nuances specific to each country like the US, Canada, India, Germany, etc., and have worked across 60+ countries and hence not only understand global trends but how these differ by country, how payment models, market structure, cultural parameters, etc. differ in each country.

Market Sizing and Analysis: Our expert data analytics team has created various market forecast models by employing the top-down approach i.e. starting with the large overall market and segmenting different areas and the bottom-up approach i.e. starting with population and epidemiology and rolling up based on spend, etc., estimating the size of the market, and distributing among the geographic and/or product segments.

The top-down approach is mainly used for new product forecasting and the bottom-up approach is used for demand estimation of any product for different countries summed up to form the total market. We are able to round off insights and build stronger forecasts because we always do both these methods and triangulate the final numbers.

The study on the market covers the analysis of the leading geographies such as Asia-Pacific, Africa, Europe, Middle East, North America, and  Latin America for the period of 2022 to 2030. The qualitative analysis covers the industry landscape and trends, market opportunities, competitive landscape, and policy and regulatory scenario, and the quantitative analysis covers different market estimates and forecasts.

Data Triangulation & Validation:

Data triangulation of various sources and results of the research are carried out by benchmarking with reliable sources such as industry statistics, statistical databases, and company-level averages, etc.

We make sure to finalize the numbers in alignment with the market research. Firstly, our internal experts ensure thorough validation and checking to ensure accurate and precise analysis and then validation is also done using a multiple-data analysis model. Two-level validation is done and entails the finalization of the report scope and the way of representation pattern.

 

 

Stage III: Interpretation and Presentation

Analysis & Interpretation: The information gathered is then analyzed and synthesized. The second series of interviews are done if necessary to check and validate. The future opportunities are analyzed by understanding product commercialization and many other factors. It also comprises the analysis of data discrepancies observed across various data sources. Information procured from secondary and primary results is then, interpreted by considering the following parameters: (a partial list)

  • Establishing market drivers and trends
  • Analyzing the regulatory landscape to understand future growth
  • Market Segment based analysis to obtain revenue/volume
  • ​Analyzing current needs and determining penetration to estimate the market

Insights: Our reports deliver actionable insights backed with supporting facts and figures to assist you in achieving exemplary growth. Our in-depth analyses are interspersed with relevant insights and statistics to offer an executive-level view of a given market. The description helps in correlating many minor factors affecting the market and their impact on the different segments within the market.

Data curated from the analysis and interpretation are drawn to portray all in one consolidated report.

Presentation & Reporting: The market research report is presented in different forms such as charts by using a scientific approach for easy understanding. Historic, current, and future analysis is provided for each market in terms of both value and volume. The size of the market is interpreted in the US Dollar value and the respective unit, based on the product, for volume consumption.

The foreign exchange rates are calculated on the respective dates and for the respective regions covered in the study.

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This report addresses

  • Intelligent insights to take informed business decisions
  • Qualitative, acute and result oriented market analysis
  • Market size and forecasts from 2022 to 2030
  • Opportunities for expansion and in-depth market analysis
  • Segmentation and regional revenue forecasts
  • Analysis of the market share and competitive landscape
  • Strategic Recommendations to chart future course of action
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Last updated on: 12 June 2024
Updated by: Riya Doshi

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