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LAMEA Artificial Intelligence in Diagnostics Market By Diagnosis Type (Radiology, Oncology, Neurology, Cardiology, Chest & Lungs, Pathology and Other Diagnosis Types), By Component (Services, Software and Hardware), By Country, Industry Analysis and Forecast, 2020 - 2026

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    Report

  • 81 Pages
  • July 2020
  • Region: Africa, Middle East
  • Marqual IT Solutions Pvt. Ltd (KBV Research)
  • ID: 5137599
The Latin America, Middle East and Africa Artificial Intelligence in Diagnostics Market is expected to witness market growth of 28.7% CAGR during the forecast period (2020-2026).

Early diagnosis of any chronic condition is also effective in reducing medication compilations. This helps to decide on treatment protocols. There are numerous diagnosis and recovery guidelines that show that artificial intelligence is a health benefit. The goal of artificial intelligence is to make computers more effective in solving difficult health problems, and by using computers, businesses can analyze data gathered by diagnosing various chronic diseases. Some of the fields covered will show how artificial intelligence is helpful in the diagnosis and treatment of multiple chronic diseases.

Increasing demand for reducing treatment costs, optimizing patient care, and reducing computer downtime is one of the reasons driving the use of artificial intelligence in diagnostics. In addition, increasing demand for low-cost diagnostic techniques, effective and efficient analysis of findings, and rapid generation of diagnostic data are few other factors expected to drive the diagnostic AI market.

Throughout health care, machine vision has demonstrated important use in medicine and in the treatment of a few diseases. Robotic surgery uses machine vision to identify distances or a particular body part. Computer vision applications have accurate diagnostic tests while eliminating false positives. Technology can potentially eliminate the need for redundant surgical procedures and expensive therapies. Computer vision algorithms that are developed using a large amount of training data will predict the slightest appearance of a disease that human doctors can overlook due to their sensory limitations.

Based on Diagnosis Type, the market is segmented into Radiology, Oncology, Neurology, Cardiology, Chest & Lungs, Pathology and Other Diagnosis Types. Based on Component, the market is segmented into Services, Software and Hardware. Based on countries, the market is segmented into Brazil, Argentina, UAE, Saudi Arabia, South Africa, Nigeria, and Rest of LAMEA.

The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include General Electric (GE) Co. (GE Healthcare), Siemens AG (Siemens Healthineers), Aidoc Medical Ltd., AliveCor, Inc., Imagen Technologies, Inc., VUNO, Inc., IDx Technologies, Inc., NovaSignal Corporation, Riverain Technologies, LLC, and Zebra Medical Vision Ltd.

Scope of the Study

Market Segmentation:

By Diagnosis Type
  • Radiology
  • Oncology
  • Neurology
  • Cardiology
  • Chest & Lungs
  • Pathology and
  • Other Diagnosis Types

By Component
  • Services
  • Software and
  • Hardware

By Country
  • Brazil
  • Argentina
  • UAE
  • Saudi Arabia
  • South Africa
  • Nigeria
  • Rest of LAMEA

Companies Profiled
  • General Electric (GE) Co. (GE Healthcare)
  • Siemens AG (Siemens Healthineers)
  • Aidoc Medical Ltd.
  • AliveCor, Inc.
  • Imagen Technologies, Inc.
  • VUNO, Inc.
  • IDx Technologies, Inc.
  • NovaSignal Corporation
  • Riverain Technologies, LLC
  • Zebra Medical Vision Ltd.

Unique Offerings from the Publisher
  • Exhaustive coverage
  • Highest number of market tables and figures
  • Subscription based model available
  • Guaranteed best price
  • Assured post sales research support with 10% customization free

Table of Contents

Chapter 1. Market Scope & Methodology
1.1 Market Definition
1.2 Objectives
1.3 Market Scope
1.4 Segmentation
1.4.1 LAMEA Artificial Intelligence in Diagnostics Market, by Diagnosis Type
1.4.2 LAMEA Artificial Intelligence in Diagnostics Market, by Component
1.4.3 LAMEA Artificial Intelligence in Diagnostics Market, by Country
1.5 Methodology for the research
Chapter 2. Market Overview
2.1 Introduction
2.1.1 Overview
2.1.2 Market Composition and Scenario
2.2 Key Factors Impacting the Market
2.2.1 Market Drivers
2.2.2 Market Restraints
Chapter 3. Competition Analysis - Global
3.1 Recent Industry Wide Strategic Developments
3.1.1 Partnerships, Collaborations and Agreements
3.1.2 Product Launches and Product Expansions
3.1.3 Approvals
3.2 Top Winning Strategies
3.2.1 Key Leading Strategies: Percentage Distribution (2016-2020)
3.2.2 Key Strategic Move: (Partnerships, Collaborations, and Agreements : 2017, Nov – 2020, Jun) Leading Players
Chapter 4. LAMEA Artificial Intelligence in Diagnostics Market by Diagnosis Type
4.1 LAMEA Radiology Market by Country
4.2 LAMEA Oncology Market by Country
4.3 LAMEA Neurology Market by Country
4.4 LAMEA Cardiology Market by Country
4.5 LAMEA Chest & Lungs Market by Country
4.6 LAMEA Pathology Market by Country
4.7 LAMEA Other Diagnosis Types Market by Country
Chapter 5. LAMEA Artificial Intelligence in Diagnostics Market by Component
5.1 LAMEA Services Market by Country
5.2 LAMEA Software Market by Country
5.3 LAMEA Hardware Market by Country
Chapter 6. LAMEA Artificial Intelligence in Diagnostics Market by Country
6.1 Brazil Artificial Intelligence in Diagnostics Market
6.1.1 Brazil Artificial Intelligence in Diagnostics Market by Diagnosis Type
6.1.2 Brazil Artificial Intelligence in Diagnostics Market by Component
6.2 Argentina Artificial Intelligence in Diagnostics Market
6.2.1 Argentina Artificial Intelligence in Diagnostics Market by Diagnosis Type
6.2.2 Argentina Artificial Intelligence in Diagnostics Market by Component
6.3 UAE Artificial Intelligence in Diagnostics Market
6.3.1 UAE Artificial Intelligence in Diagnostics Market by Diagnosis Type
6.3.2 UAE Artificial Intelligence in Diagnostics Market by Component
6.4 Saudi Arabia Artificial Intelligence in Diagnostics Market
6.4.1 Saudi Arabia Artificial Intelligence in Diagnostics Market by Diagnosis Type
6.4.2 Saudi Arabia Artificial Intelligence in Diagnostics Market by Component
6.5 South Africa Artificial Intelligence in Diagnostics Market
6.5.1 South Africa Artificial Intelligence in Diagnostics Market by Diagnosis Type
6.5.2 South Africa Artificial Intelligence in Diagnostics Market by Component
6.6 Nigeria Artificial Intelligence in Diagnostics Market
6.6.1 Nigeria Artificial Intelligence in Diagnostics Market by Diagnosis Type
6.6.2 Nigeria Artificial Intelligence in Diagnostics Market by Component
6.7 Rest of LAMEA Artificial Intelligence in Diagnostics Market
6.7.1 Rest of LAMEA Artificial Intelligence in Diagnostics Market by Diagnosis Type
6.7.2 Rest of LAMEA Artificial Intelligence in Diagnostics Market by Component
Chapter 7. Company Profiles
7.1 General Electric (GE) Co. (GE Healthcare)
7.1.1 Company Overview
7.1.2 Financial Analysis
7.1.3 Segmental and Regional Analysis
7.1.4 Research & Development Expense
7.1.5 Recent strategies and developments:
7.1.5.1 Partnerships, Collaborations, and Agreements:
7.1.5.2 Product Launches and Product Expansions:
7.1.5.3 Approvals:
7.2 Siemens AG (Siemens Healthineers)
7.2.1 Company Overview
7.2.2 Financial Analysis
7.2.3 Segmental and Regional Analysis
7.2.4 Research & Development Expense
7.2.5 Recent strategies and developments:
7.2.5.1 Partnerships, Collaborations, and Agreements:
7.3 Aidoc Medical Ltd.
7.3.1 Company Overview
7.3.2 Recent strategies and developments:
7.3.2.1 Product Launches and Product Expansions:
7.3.2.2 Partnerships, Collaborations, and Agreements:
7.4 AliveCor, Inc.
7.4.1 Company Overview
7.4.2 Recent strategies and developments:
7.4.2.1 Partnerships, Collaborations, and Agreements:
7.4.2.2 Product Launches and Product Expansions:
7.5 Imagen Technologies, Inc.
7.5.1 Company Overview
7.6 VUNO, Inc.
7.6.1 Company Overview
7.6.2 Recent strategies and developments:
7.6.2.1 Approvals:
7.7 IDx Technologies, Inc.
7.7.1 Company overview
7.7.2 Recent strategies and developments:
7.7.2.1 Partnerships, Collaborations, and Agreements:
7.8 NovaSignal Corporation
7.8.1 Company Overview
7.9 Riverain Technologies, LLC
7.9.1 Company Overview
7.10 Zebra Medical Vision Ltd.
7.10.1 Company overview
7.10.2 Recent strategies and developments:
7.10.2.1 Partnerships, Collaborations, and Agreements:
7.10.2.2 Approvals:

Companies Mentioned

  • General Electric (GE) Co. (GE Healthcare)
  • Siemens AG (Siemens Healthineers)
  • Aidoc Medical Ltd.
  • AliveCor, Inc.
  • Imagen Technologies, Inc.
  • VUNO, Inc.
  • IDx Technologies, Inc.
  • NovaSignal Corporation
  • Riverain Technologies, LLC
  • Zebra Medical Vision Ltd.

Methodology

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