Latin America Artificial Intelligence (AI) in Diagnostics Market Analysis

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