Summary

MARKET OUTLOOK
Triton’s report estimates that the Latin America artificial intelligence (AI) in healthcare market is set to gain a CAGR of 38.16% during the projected period 2024-2032. Brazil, Mexico, and the Rest of Latin America are examined in this report.
In recent years, Mexico has witnessed a notable rise in the utilization of Artificial Intelligence (AI) within the healthcare sector. Additionally, hospitals across Mexico are integrating Hospital Information Systems (HIS) empowered by AI algorithms. These systems assist in medical decision-making, resource allocation, and predictive modeling. Furthermore, the adoption of AI-powered medical imaging technologies, such as computer-aided diagnosis (CAD) systems, is on the rise. These technologies play a pivotal role in enhancing disease detection and diagnosis in the Mexican healthcare landscape.
Chile’s Ministry of Economy has initiated a specialized unit known as the Future and Social Adoption of Technology (FAST), encompassing AI. This unit employs AI to enhance healthcare services, focusing on disease diagnosis and treatment. The utilization of AI in healthcare across Latin America is swiftly expanding, fueled by the demand for enhanced healthcare services, technological progress, and the accumulation of vast and intricate healthcare data.

COMPETITIVE OUTLOOK
The notable companies in the AI in healthcare market include GE Healthcare, Google LLC, Microsoft Corporation, Siemens Healthineers AG, and IBM Corporation.

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Table of Contents

TABLE OF CONTENTS
1. LATIN AMERICA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET - SUMMARY
2. INDUSTRY OUTLOOK
2.1. PORTER’S FIVE FORCES ANALYSIS
2.1.1. BUYERS POWER
2.1.2. SUPPLIERS POWER
2.1.3. SUBSTITUTION
2.1.4. NEW ENTRANTS
2.1.5. INDUSTRY RIVALRY
2.2. MARKET MATURITY ANALYSIS
2.3. VALUE CHAIN ANALYSIS
2.3.1. DATA WAREHOUSE
2.3.2. ARTIFICIAL INTELLIGENCE (AI) ANALYSIS
2.3.3. SOFTWARE DEVELOPMENT
2.4. KEY BUYING CRITERIA
2.4.1. APPLICATION
2.4.2. TECHNOLOGY
2.4.3. INTEGRATION WITH EXISTING INFRASTRUCTURE
2.5. REGULATORY FRAMEWORK
2.6. KEY MARKET STRATEGIES
2.6.1. ACQUISITIONS
2.6.2. PRODUCT LAUNCHES
2.6.3. COLLABORATIONS
2.7. MARKET DRIVERS
2.7.1. ADOPTION OF AI BEING SUPPORTED BY LARGE VOLUMES OF HEALTHCARE DATA
2.7.2. PERSONALIZED MEDICINE IN TESTS FOR CLINICAL DECISION-MAKING
2.7.3. INCREASING START-UPS IN AI AND MACHINE LEARNING
2.8. MARKET CHALLENGES
2.8.1. COST CONSTRAINTS AND A LOW RETURN ON INVESTMENT (ROI)
2.8.2. CHALLENGES IN SUSTAINING DATA SECURITY
2.8.3. SLOW ADOPTION OF AI-BASED TECHNOLOGIES
2.9. MARKET OPPORTUNITIES
2.9.1. EXPANDING APPLICATIONS OF AI IN THE HEALTHCARE INDUSTRY
2.9.2. RISING DEMAND FOR AI IN DRUG DISCOVERY
2.9.3. STRONG FOCUS ON THE DEVELOPMENT OF PRECISION MEDICINE AND PERSONALIZED DRUGS
2.9.4. AI USED TO ESTABLISH A REAL-TIME MONITORING SYSTEM
2.10. ANALYST PERSPECTIVE
3. LATIN AMERICA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET - BY SOLUTION
3.1. SOFTWARE
3.2. SERVICES
3.3. HARDWARE
4. LATIN AMERICA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET - BY TECHNOLOGY
4.1. NATURAL LANGUAGE PROCESSING
4.2. QUERYING METHOD
4.3. CONTEXT AWARE PROCESSING
4.4. DEEP LEARNING
5. LATIN AMERICA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET - BY TYPE
5.1. ROBOT-ASSISTED SURGERY
5.2. VIRTUAL NURSING ASSISTANT
5.3. ADMINISTRATIVE WORKFLOW ASSISTANCE
5.4. FRAUD DETECTION
5.5. DOSAGE ERROR REDUCTION
5.6. CLINICAL TRIAL PARTICIPANT IDENTIFIER
5.7. PRELIMINARY DIAGNOSIS
5.8. OTHER APPLICATIONS
6. LATIN AMERICA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET - BY INDUSTRY VERTICAL
6.1. HEALTHCARE PROVIDERS
6.2. PHARMACEUTICAL AND BIOTECHNOLOGY COMPANIES
6.3. PAYERS
6.4. ACOS AND MCOS
6.5. PATIENTS
7. LATIN AMERICA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET – BY COUNTRY OUTLOOK
7.1. BRAZIL
7.1.1. BRAZIL ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET FORECAST & PROSPECTS
7.2. MEXICO
7.2.1. MEXICO ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET FORECAST & PROSPECTS
7.3. REST OF LATIN AMERICA
7.3.1. REST OF LATIN AMERICA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET FORECAST & PROSPECTS
8. COMPETITIVE LANDSCAPE
8.1. GE HEALTHCARE
8.1.1. OVERVIEW
8.1.2. PRODUCT LIST
8.1.3. KEY STRENGTHS
8.1.4. KEY CHALLENGES
8.2. GENERAL VISION INC
8.2.1. OVERVIEW
8.2.2. PRODUCT LIST
8.3. GOOGLE LLC
8.3.1. OVERVIEW
8.3.2. PRODUCT LIST
8.3.3. KEY STRENGTHS
8.3.4. KEY CHALLENGES
8.4. IBM CORPORATION
8.4.1. OVERVIEW
8.4.2. PRODUCT LIST
8.4.3. KEY STRENGTHS
8.4.4. KEY CHALLENGES
8.5. INTEL CORPORATION
8.5.1. OVERVIEW
8.5.2. PRODUCT LIST
8.5.3. KEY STRENGTHS
8.5.4. KEY CHALLENGES
8.6. KONINKLIJKE PHILIPS NV
8.6.1. COMPANY OVERVIEW
8.6.2. PRODUCTS
8.6.3. KEY STRENGTHS
8.6.4. KEY CHALLENGES
8.7. MEDTRONIC PLC
8.7.1. COMPANY OVERVIEW
8.7.2. PRODUCT LIST
8.7.3. KEY STRENGTHS
8.7.4. KEY CHALLENGES
8.8. MICROSOFT CORPORATION
8.8.1. COMPANY OVERVIEW
8.8.2. PRODUCT LIST
8.8.3. KEY STRENGTHS
8.8.4. KEY CHALLENGES
8.9. NVIDIA CORPORATION
8.9.1. OVERVIEW
8.9.2. PRODUCT LIST
8.9.3. KEY STRENGTHS
8.9.4. KEY CHALLENGES
8.10. ONCORA MEDICAL
8.10.1. OVERVIEW
8.10.2. PRODUCT LIST
8.11. RECURSION PHARMACEUTICALS INC
8.11.1. OVERVIEW
8.11.2. PRODUCTS
8.12. STRYKER CORPORATION
8.12.1. OVERVIEW
8.12.2. PRODUCT LIST
8.12.3. KEY STRENGTHS
8.12.4. KEY CHALLENGES
8.13. SIEMENS HEALTHINEERS AG
8.13.1. OVERVIEW
8.13.2. PRODUCT LIST
8.13.3. KEY STRENGTHS
8.13.4. KEY CHALLENGES
9. RESEARCH METHODOLOGY & SCOPE
9.1. RESEARCH SCOPE & DELIVERABLES
9.1.1. OBJECTIVES OF STUDY
9.1.2. SCOPE OF STUDY
9.2. SOURCES OF DATA
9.2.1. PRIMARY DATA SOURCES
9.2.2. SECONDARY DATA SOURCES
9.3. RESEARCH METHODOLOGY
9.3.1. EVALUATION OF PROPOSED MARKET
9.3.2. IDENTIFICATION OF DATA SOURCES
9.3.3. ASSESSMENT OF MARKET DETERMINANTS
9.3.4. DATA COLLECTION
9.3.5. DATA VALIDATION & ANALYSIS

LIST OF TABLES
TABLE 1: LATIN AMERICA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY COUNTRY OUTLOOK, HISTORICAL YEARS, 2020-2023 (IN $ MILLION)
TABLE 2: LATIN AMERICA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY COUNTRY OUTLOOK, FORECAST YEARS, 2024-2032 (IN $ MILLION)
TABLE 3: LIST OF ACQUISITIONS
TABLE 4: LIST OF PRODUCT LAUNCHES
TABLE 5: LIST OF COLLABORATIONS
TABLE 6: LATIN AMERICA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY SOLUTION, 2024-2032 (IN $ MILLION)
TABLE 7: LATIN AMERICA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY TECHNOLOGY, 2024-2032 (IN $ MILLION)
TABLE 8: LATIN AMERICA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY TYPE, 2024-2032 (IN $ MILLION)
TABLE 9: LATIN AMERICA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY INDUSTRY VERTICAL, 2024-2032 (IN $ MILLION)
TABLE 10: LATIN AMERICA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY COUNTRY OUTLOOK, 2024-2032 (IN $ MILLION)

LIST OF FIGURES
FIGURE 1: PORTER’S FIVE FORCES ANALYSIS
FIGURE 2: MARKET MATURITY ANALYSIS
FIGURE 3: VALUE CHAIN ANALYSIS
FIGURE 4: LATIN AMERICA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY SOLUTION, 2023 & 2032 (IN %)
FIGURE 5: LATIN AMERICA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY SOFTWARE, 2024-2032 (IN $ MILLION)
FIGURE 6: LATIN AMERICA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY SERVICES, 2024-2032 (IN $ MILLION)
FIGURE 7: LATIN AMERICA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY HARDWARE, 2024-2032 (IN $ MILLION)
FIGURE 8: LATIN AMERICA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY TECHNOLOGY, 2023 & 2032 (IN %)
FIGURE 9: LATIN AMERICA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY NATURAL LANGUAGE PROCESSING, 2024-2032 (IN $ MILLION)
FIGURE 10: LATIN AMERICA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY QUERYING METHOD, 2024-2032 (IN $ MILLION)
FIGURE 11: LATIN AMERICA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY CONTEXT AWARE PROCESSING, 2024-2032 (IN $ MILLION)
FIGURE 12: LATIN AMERICA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY DEEP LEARNING, 2024-2032 (IN $ MILLION)
FIGURE 13: LATIN AMERICA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY TYPE, 2023 & 2032 (IN %)
FIGURE 14: LATIN AMERICA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY ROBOT-ASSISTED SURGERY, 2024-2032 (IN $ MILLION)
FIGURE 15: LATIN AMERICA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY VIRTUAL NURSING ASSISTANT, 2024-2032 (IN $ MILLION)
FIGURE 16: LATIN AMERICA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY ADMINISTRATIVE WORKFLOW ASSISTANCE, 2024-2032 (IN $ MILLION)
FIGURE 17: LATIN AMERICA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY FRAUD DETECTION, 2024-2032 (IN $ MILLION)
FIGURE 18: LATIN AMERICA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY DOSAGE ERROR REDUCTION, 2024-2032 (IN $ MILLION)
FIGURE 19: LATIN AMERICA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY CLINICAL TRIAL PARTICIPANT IDENTIFIER, 2024-2032 (IN $ MILLION)
FIGURE 20: LATIN AMERICA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY PRELIMINARY DIAGNOSIS, 2024-2032 (IN $ MILLION)
FIGURE 21: LATIN AMERICA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY OTHER TYPES, 2024-2032 (IN $ MILLION)
FIGURE 22: LATIN AMERICA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY INDUSTRY VERTICAL, 2023 & 2032 (IN %)
FIGURE 23: LATIN AMERICA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY HEALTHCARE PROVIDERS, 2024-2032 (IN $ MILLION)
FIGURE 24: LATIN AMERICA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY PHARMACEUTICAL AND BIOTECHNOLOGY COMPANIES, 2024-2032 (IN $ MILLION)
FIGURE 25: LATIN AMERICA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY PAYERS, 2024-2032 (IN $ MILLION)
FIGURE 26: LATIN AMERICA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY ACOS AND MCOS, 2024-2032 (IN $ MILLION)
FIGURE 27: LATIN AMERICA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY PATIENTS, 2024-2032 (IN $ MILLION)
FIGURE 28: LATIN AMERICA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY COUNTRY OUTLOOK, 2023 & 2032 (IN %)
FIGURE 29: BRAZIL ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET 2024-2032 (IN $ MILLION)
FIGURE 30: MEXICO ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET 2024-2032 (IN $ MILLION)
FIGURE 31: REST OF LATIN AMERICA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET 2024-2032 (IN $ MILLION)