The Latin America, Middle East and Africa Artificial Intelligence (AI) in Healthcare Market would witness market growth of 44.8% CAGR during the forecast period (2024-2031).
The Brazil market dominated the LAMEA Artificial Intelligence (AI) in Healthcare Market by Country in 2023, and would continue to be a dominant market till 2031; thereby, achieving a market value of $4,746.7 million by 2031. The Argentina market is showcasing a CAGR of 45.6% during (2024 - 2031). Additionally, The UAE market would register a CAGR of 44.3% during (2024 - 2031).
Generative adversarial networks (GANs) are a type of deep learning model that can generate synthetic data samples that closely resemble real medical images, pathology slides, or genomic sequences. GANs are being used to augment limited datasets, create diverse training examples, and simulate rare medical conditions, enhancing the robustness and generalization of AI models.
Furthermore, AR and VR technologies provide immersive environments for medical professionals to visualize complex anatomical structures, medical procedures, and surgical techniques. AI algorithms can be integrated into AR/VR platforms to enhance visualization, simulate surgical scenarios, and provide real-time guidance during procedures, improving surgical accuracy and reducing complications.
AI-powered chatbots are used to provide patients with personalized health advice and information in the UAE. These chatbots can answer questions, provide information about symptoms and treatments, and even schedule appointments with healthcare providers in the UAE. AI algorithms analyze medical images such as X-rays, MRIs, and CT scans in UAE. These algorithms can detect abnormalities and assist radiologists in making more accurate and timely diagnoses in the UAE. AI is being used to analyze large volumes of patient data to identify patterns and predict health outcomes in the UAE. This allows healthcare providers to intervene early, potentially preventing the progression of diseases and improving patient outcomes in the UAE. Thus, due to these aspects, the artificial intelligence (AI) in healthcare market will expand across the LAMEA region in upcoming years.
Based on Offering, the market is segmented into Software, Hardware (Processors, Memory, and Network), and Services. Based on Software Platform, the market is segmented into Application Program Interface (API), and Machine Learning Framework. Based on Software Solution, the market is segmented into On-premise, and Cloud. Based on Technology, the market is segmented into Machine Learning, Natural Language Processing, Context-aware Computing, and Computer Vision. Based on End-use, the market is segmented into Healthcare Providers, Healthcare Companies, Healthcare Payers, Patients, and Others. Based on Application, the market is segmented into Patient Data & Risk Analysis, Virtual Assistants, Wearables, Medical Imaging & Diagnostics, Cybersecurity, Mental Health, In-Patient Care & Hospital Management, Precision Medicine, Drug Discovery & Development, Lifestyle Management & Remote Patient Monitoring, Healthcare Assistance Robots, Research, Others. Based on countries, the market is segmented into Brazil, Argentina, UAE, Saudi Arabia, South Africa, Nigeria, and Rest of LAMEA.
The Brazil market dominated the LAMEA Artificial Intelligence (AI) in Healthcare Market by Country in 2023, and would continue to be a dominant market till 2031; thereby, achieving a market value of $4,746.7 million by 2031. The Argentina market is showcasing a CAGR of 45.6% during (2024 - 2031). Additionally, The UAE market would register a CAGR of 44.3% during (2024 - 2031).
Generative adversarial networks (GANs) are a type of deep learning model that can generate synthetic data samples that closely resemble real medical images, pathology slides, or genomic sequences. GANs are being used to augment limited datasets, create diverse training examples, and simulate rare medical conditions, enhancing the robustness and generalization of AI models.
Furthermore, AR and VR technologies provide immersive environments for medical professionals to visualize complex anatomical structures, medical procedures, and surgical techniques. AI algorithms can be integrated into AR/VR platforms to enhance visualization, simulate surgical scenarios, and provide real-time guidance during procedures, improving surgical accuracy and reducing complications.
AI-powered chatbots are used to provide patients with personalized health advice and information in the UAE. These chatbots can answer questions, provide information about symptoms and treatments, and even schedule appointments with healthcare providers in the UAE. AI algorithms analyze medical images such as X-rays, MRIs, and CT scans in UAE. These algorithms can detect abnormalities and assist radiologists in making more accurate and timely diagnoses in the UAE. AI is being used to analyze large volumes of patient data to identify patterns and predict health outcomes in the UAE. This allows healthcare providers to intervene early, potentially preventing the progression of diseases and improving patient outcomes in the UAE. Thus, due to these aspects, the artificial intelligence (AI) in healthcare market will expand across the LAMEA region in upcoming years.
Based on Offering, the market is segmented into Software, Hardware (Processors, Memory, and Network), and Services. Based on Software Platform, the market is segmented into Application Program Interface (API), and Machine Learning Framework. Based on Software Solution, the market is segmented into On-premise, and Cloud. Based on Technology, the market is segmented into Machine Learning, Natural Language Processing, Context-aware Computing, and Computer Vision. Based on End-use, the market is segmented into Healthcare Providers, Healthcare Companies, Healthcare Payers, Patients, and Others. Based on Application, the market is segmented into Patient Data & Risk Analysis, Virtual Assistants, Wearables, Medical Imaging & Diagnostics, Cybersecurity, Mental Health, In-Patient Care & Hospital Management, Precision Medicine, Drug Discovery & Development, Lifestyle Management & Remote Patient Monitoring, Healthcare Assistance Robots, Research, Others. Based on countries, the market is segmented into Brazil, Argentina, UAE, Saudi Arabia, South Africa, Nigeria, and Rest of LAMEA.
List of Key Companies Profiled
- Koninklijke Philips N.V.
- Microsoft Corporation
- Siemens Healthineers AG (Siemens AG)
- Intel Corporation
- NVIDIA Corporation
- Google LLC (Alphabet Inc.)
- GE HealthCare Technologies, Inc.
- Medtronic PLC
- Amazon Web Services, Inc. (Amazon.com, Inc.)
- Oracle Corporation
Market Report Segmentation
By Offering- Software
- Software Platform
- Application Program Interface (API)
- Machine Learning Framework
- Software Solution
- On-premise
- Cloud
- Hardware
- Processors
- Memory
- Network
- Services
- Machine Learning
- Natural Language Processing
- Context-aware Computing
- Computer Vision
- Healthcare Providers
- Healthcare Companies
- Healthcare Payers
- Patients
- Others
- Patient Data & Risk Analysis
- Virtual Assistants
- Wearables
- Medical Imaging & Diagnostics
- Cybersecurity
- Mental Health
- In-Patient Care & Hospital Management
- Precision Medicine
- Drug Discovery & Development
- Lifestyle Management & Remote Patient Monitoring
- Healthcare Assistance Robots
- Research
- Others
- Brazil
- Argentina
- UAE
- Saudi Arabia
- South Africa
- Nigeria
- Rest of LAMEA
Table of Contents
Chapter 1. Market Scope & Methodology
Chapter 2. Market at a Glance
Chapter 3. Market Overview
Chapter 4. Competition Analysis - Global
Chapter 5. LAMEA Artificial Intelligence (AI) in Healthcare Market by Offering
Chapter 6. LAMEA Artificial Intelligence (AI) in Healthcare Market by Technology
Chapter 7. LAMEA Artificial Intelligence (AI) in Healthcare Market by End-use
Chapter 8. LAMEA Artificial Intelligence (AI) in Healthcare Market by Application
Chapter 9. LAMEA Artificial Intelligence (AI) in Healthcare Market by Country
Chapter 10. Company Profiles
Companies Mentioned
- Koninklijke Philips N.V.
- Microsoft Corporation
- Siemens Healthineers AG (Siemens AG)
- Intel Corporation
- NVIDIA Corporation
- Google LLC (Alphabet Inc.)
- GE HealthCare Technologies, Inc.
- Medtronic PLC
- Amazon Web Services, Inc. (Amazon.com, Inc.)
- Oracle Corporation
Methodology
LOADING...
