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Asia Pacific Artificial Intelligence (AI) in Medical Diagnostics Market Size, Share & Industry Trends Analysis Report by Application (In Vivo Diagnostics and In Vitro Diagnostics), End-user, Component (Services and Software), Country and Growth Forecast, 2022-2028

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    Report

  • 151 Pages
  • October 2022
  • Region: Asia Pacific
  • Marqual IT Solutions Pvt. Ltd (KBV Research)
  • ID: 5694422
The Asia Pacific Artificial Intelligence (AI) in Medical Diagnostics Market should witness market growth of 41.0% CAGR during the forecast period (2022-2028).

Artificial Intelligence, or AI, is becoming increasingly prevalent in the medical industry, particularly in diagnosis and therapy management. Recently, a massive number of research studies have been done on how AI might aid clinical judgments and improve clinicians' judgment. Accurate diagnosis is a vital component of healthcare systems worldwide. Additionally, a number of outpatients throughout the world obtain an inaccurate diagnosis, with errors being particularly prevalent for serious medical diseases and posing a risk of severe patient harm.

In recent years, machine learning and artificial intelligence have developed into potent diagnostic aids. This technology could transform healthcare by enabling more accurate diagnostics. The new method addresses the limitations of its predecessors by incorporating causal reasoning into machine learning. Traditionally, the diagnosis was exclusively based on connections between symptoms and the most probable reason.

Using artificial intelligence, researchers are advancing cardiovascular health at multiple institutions. Hospitals and research institutions will use artificial intelligence to program computers to analyze and respond to data swiftly and precisely for improved treatment outcomes. Programs are capable of detecting heart problems, treating strokes, and boosting diagnostic radiography capabilities, among other duties. Personalized computational modeling of patient hearts is making progress in generating models that account for the individual geometry and structure of the heart in addition to other patient-specific data.

The adoption of AI is increasing at a rapid pace throughout the region. According to the Ministry of IT and Electronics, the Indian government has adopted a number of measures to encourage upskilling and reskilling in the artificial intelligence field. In conjunction with NASSCOM, the Ministry of Electronics and IT has launched FutureSkills PRIME, a B2C framework for re-skilling/ up-skilling of IT experts in 10 sectors. Emerging technologies comprise Artificial Intelligence. The government issued the National Strategy for Artificial Intelligence in June 2018 and plans to establish an ecosystem for the study and application of AI. With the constantly increasing adoption of AI technologies in India, the demand for AI in medical diagnosis would also increase and this factor would boost the growth of the regional market.

The China market dominated the Asia Pacific Artificial Intelligence (AI) in Medical Diagnostics Market by Country in 2021; thereby, achieving a market value of $543 million by 2028. The Japan market is registering a CAGR of 40.1% during (2022-2028). Additionally, The India market would showcase a CAGR of 41.9% during (2022-2028).

Based on Application, the market is segmented into In Vivo Diagnostics and In Vitro Diagnostics. Based on Vivo Diagnostics Specialty Type, the market is segmented into Radiology, Cardiology, Neurology, Obstetrics/gynecology, Ophthalmology and Others. Based on Vivo Diagnostics Modality Type, the market is segmented into Computed Tomography, X-Ray & Ultrasound, Magnetic Resonance Imaging and Others. Based on End-user, the market is segmented into In Hospitals, Diagnostics Imaging Centers, Diagnostics Laboratories and Others. Based on Component, the market is segmented into Services and Software. Based on countries, the market is segmented into China, Japan, India, South Korea, Singapore, Malaysia, and Rest of Asia Pacific.

The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include Microsoft Corporation, Nvidia Corporation, IBM Corporation, Intel Corporation, Google LLC, Siemens Healthineers AG (Siemens AG), General Electric (GE) Co. (GE Healthcare), Xilinx, Inc., Digital Diagnostics, Inc. and InformAI, LLC

Scope of the Study

By Application

  • In Vivo Diagnostics
    • Vivo Diagnostics Specialty Type
      • Radiology
      • Cardiology
      • Neurology
      • Obstetrics/gynecology
      • Ophthalmology
      • Others
    • Vivo Diagnostics Modality Type
      • Computed Tomography
      • X-Ray & Ultrasound
      • Magnetic Resonance Imaging
      • Others
    • In Vitro Diagnostics

By End-user

  • Hospitals
  • Diagnostics Imaging Centers
  • Diagnostics Laboratories
  • Others

By Component

  • Services
  • Software

By Country

  • China
  • Japan
  • India
  • South Korea
  • Singapore
  • Malaysia
  • Rest of Asia Pacific

Key Market Players

List of Companies Profiled in the Report:

  • Microsoft Corporation
  • Nvidia Corporation
  • IBM Corporation
  • Intel Corporation
  • Google LLC
  • Siemens Healthineers AG (Siemens AG)
  • General Electric (GE) Co. (GE Healthcare)
  • Xilinx, Inc.
  • Digital Diagnostics, Inc.
  • InformAI, LLC

Unique Offerings

  • Exhaustive coverage
  • The 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 Asia Pacific Artificial Intelligence (AI) in Medical Diagnostics Market, by Application
1.4.2 Asia Pacific Artificial Intelligence (AI) in Medical Diagnostics Market, by End-user
1.4.3 Asia Pacific Artificial Intelligence (AI) in Medical Diagnostics Market, by Component
1.4.4 Asia Pacific Artificial Intelligence (AI) in Medical Diagnostics Market, by Country
1.5 Research Methodology
Chapter 2. Market Overview
2.1 Introduction
2.1.1 Overview
2.1.1.1 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 The Cardinal Matrix
3.2 Recent Industry Wide Strategic Developments
3.2.1 Partnerships, Collaborations and Agreements
3.2.2 Product Launches and Product Expansions
3.2.3 Acquisition and Mergers
3.2.4 Approvals and Trials
3.3 Market Share Analysis, 2021
3.4 Top Winning Strategies
3.4.1 Key Leading Strategies: Percentage Distribution (2018-2022)
3.4.2 Key Strategic Move: (Product Launches and Product Expansions: 2018, Nov - 2022, Oct) Leading Players
Chapter 4. Asia Pacific Artificial Intelligence (AI) in Medical Diagnostics Market by Application
4.1 Asia Pacific In Vivo Diagnostics Market by Country
4.2 Asia Pacific Artificial Intelligence (AI) in Medical Diagnostics Market by In Vivo Diagnostics Specialty Type
4.2.1 Asia Pacific Radiology Market by Country
4.2.2 Asia Pacific Cardiology Market by Country
4.2.3 Asia Pacific Neurology Market by Country
4.2.4 Asia Pacific Obstetrics/gynecology Market by Country
4.2.5 Asia Pacific Ophthalmology Market by Country
4.2.6 Asia Pacific Others Market by Country
4.3 Asia Pacific Artificial Intelligence (AI) in Medical Diagnostics Market by In Vivo Diagnostics Modality Type
4.3.1 Asia Pacific Computed Tomography Market by Country
4.3.2 Asia Pacific X-Ray & Ultrasound Market by Country
4.3.3 Asia Pacific Magnetic Resonance Imaging Market by Country
4.3.4 Asia Pacific Others Market by Country
4.4 Asia Pacific In Vitro Diagnostics Market by Country
Chapter 5. Asia Pacific Artificial Intelligence (AI) in Medical Diagnostics Market by End-user
5.1 Asia Pacific Hospitals Market by Country
5.2 Asia Pacific Diagnostics Imaging Centers Market by Country
5.3 Asia Pacific Diagnostics Laboratories Market by Country
5.4 Asia Pacific Others Market by Country
Chapter 6. Asia Pacific Artificial Intelligence (AI) in Medical Diagnostics Market by Component
6.1 Asia Pacific Services Market by Country
6.2 Asia Pacific Software Market by Country
Chapter 7. Asia Pacific Artificial Intelligence (AI) in Medical Diagnostics Market by Country
7.1 China Artificial Intelligence (AI) in Medical Diagnostics Market
7.1.1 China Artificial Intelligence (AI) in Medical Diagnostics Market by Application
7.1.1.1 China Artificial Intelligence (AI) in Medical Diagnostics Market by In Vivo Diagnostics Specialty Type
7.1.1.2 China Artificial Intelligence (AI) in Medical Diagnostics Market by In Vivo Diagnostics Modality Type
7.1.2 China Artificial Intelligence (AI) in Medical Diagnostics Market by End-user
7.1.3 China Artificial Intelligence (AI) in Medical Diagnostics Market by Component
7.2 Japan Artificial Intelligence (AI) in Medical Diagnostics Market
7.2.1 Japan Artificial Intelligence (AI) in Medical Diagnostics Market by Application
7.2.1.1 Japan Artificial Intelligence (AI) in Medical Diagnostics Market by In Vivo Diagnostics Specialty Type
7.2.1.2 Japan Artificial Intelligence (AI) in Medical Diagnostics Market by In Vivo Diagnostics Modality Type
7.2.2 Japan Artificial Intelligence (AI) in Medical Diagnostics Market by End-user
7.2.3 Japan Artificial Intelligence (AI) in Medical Diagnostics Market by Component
7.3 India Artificial Intelligence (AI) in Medical Diagnostics Market
7.3.1 India Artificial Intelligence (AI) in Medical Diagnostics Market by Application
7.3.1.1 India Artificial Intelligence (AI) in Medical Diagnostics Market by In Vivo Diagnostics Specialty Type
7.3.1.2 India Artificial Intelligence (AI) in Medical Diagnostics Market by In Vivo Diagnostics Modality Type
7.3.2 India Artificial Intelligence (AI) in Medical Diagnostics Market by End-user
7.3.3 India Artificial Intelligence (AI) in Medical Diagnostics Market by Component
7.4 South Korea Artificial Intelligence (AI) in Medical Diagnostics Market
7.4.1 South Korea Artificial Intelligence (AI) in Medical Diagnostics Market by Application
7.4.1.1 South Korea Artificial Intelligence (AI) in Medical Diagnostics Market by In Vivo Diagnostics Specialty Type
7.4.1.2 South Korea Artificial Intelligence (AI) in Medical Diagnostics Market by In Vivo Diagnostics Modality Type
7.4.2 South Korea Artificial Intelligence (AI) in Medical Diagnostics Market by End-user
7.4.3 South Korea Artificial Intelligence (AI) in Medical Diagnostics Market by Component
7.5 Singapore Artificial Intelligence (AI) in Medical Diagnostics Market
7.5.1 Singapore Artificial Intelligence (AI) in Medical Diagnostics Market by Application
7.5.1.1 Singapore Artificial Intelligence (AI) in Medical Diagnostics Market by In Vivo Diagnostics Specialty Type
7.5.1.2 Singapore Artificial Intelligence (AI) in Medical Diagnostics Market by In Vivo Diagnostics Modality Type
7.5.2 Singapore Artificial Intelligence (AI) in Medical Diagnostics Market by End-user
7.5.3 Singapore Artificial Intelligence (AI) in Medical Diagnostics Market by Component
7.6 Malaysia Artificial Intelligence (AI) in Medical Diagnostics Market
7.6.1 Malaysia Artificial Intelligence (AI) in Medical Diagnostics Market by Application
7.6.1.1 Malaysia Artificial Intelligence (AI) in Medical Diagnostics Market by In Vivo Diagnostics Specialty Type
7.6.1.2 Malaysia Artificial Intelligence (AI) in Medical Diagnostics Market by In Vivo Diagnostics Modality Type
7.6.2 Malaysia Artificial Intelligence (AI) in Medical Diagnostics Market by End-user
7.6.3 Malaysia Artificial Intelligence (AI) in Medical Diagnostics Market by Component
7.7 Rest of Asia Pacific Artificial Intelligence (AI) in Medical Diagnostics Market
7.7.1 Rest of Asia Pacific Artificial Intelligence (AI) in Medical Diagnostics Market by Application
7.7.1.1 Rest of Asia Pacific Artificial Intelligence (AI) in Medical Diagnostics Market by In Vivo Diagnostics Specialty Type
7.7.1.2 Rest of Asia Pacific Artificial Intelligence (AI) in Medical Diagnostics Market by In Vivo Diagnostics Modality Type
7.7.2 Rest of Asia Pacific Artificial Intelligence (AI) in Medical Diagnostics Market by End-user
7.7.3 Rest of Asia Pacific Artificial Intelligence (AI) in Medical Diagnostics Market by Component
Chapter 8. Company Profiles
8.1 Microsoft Corporation
8.1.1 Company Overview
8.1.2 Financial Analysis
8.1.3 Segmental and Regional Analysis
8.1.4 Research & Development Expenses
8.1.5 Recent Strategies and Developments
8.1.5.1 Partnerships, Collaborations, and Agreements
8.1.5.2 Product Launches and Product Expansions
8.1.5.3 Acquisition and Mergers
8.1.6 SWOT Analysis
8.2 NVIDIA Corporation
8.2.1 Company Overview
8.2.2 Financial Analysis
8.2.3 Segmental and Regional Analysis
8.2.4 Research & Development Expense
8.2.5 Recent Strategies and Developments
8.2.5.1 Product Launches and Product Expansions
8.2.6 SWOT Analysis
8.3 IBM Corporation
8.3.1 Company Overview
8.3.2 Financial Analysis
8.3.3 Regional & Segmental Analysis
8.3.4 Research & Development Expenses
8.3.5 Recent Strategies and Developments
8.3.5.1 Partnerships, Collaborations, and Agreements
8.3.5.2 Product Launches and Product Expansions
8.3.6 SWOT Analysis
8.4 Intel Corporation
8.4.1 Company Overview
8.4.2 Financial Analysis
8.4.3 Segmental and Regional Analysis
8.4.4 Research & Development Expenses
8.4.5 Recent Strategies and Developments
8.4.5.1 Product Launches and Product Expansions
8.4.6 SWOT Analysis
8.5 Google LLC
8.5.1 Company Overview
8.5.2 Financial Analysis
8.5.3 Segmental and Regional Analysis
8.5.4 Research & Development Expense
8.5.5 Recent Strategies and Developments
8.5.5.1 Partnerships, Collaborations, and Agreements
8.5.5.2 Product Launches and Product Expansions
8.5.6 SWOT Analysis
8.6 Siemens Healthineers AG (Siemens AG)
8.6.1 Company Overview
8.6.2 Financial Analysis
8.6.3 Segmental and Regional Analysis
8.6.4 Research & Development Expense
8.6.5 Recent Strategies and Developments
8.6.5.1 Partnerships, Collaborations, and Agreements
8.6.5.2 Product Launches and Product Expansions
8.6.5.3 Acquisition and Mergers
8.6.5.4 Approvals and Trials
8.6.6 SWOT Analysis
8.7 General Electric (GE) Co. (GE Healthcare)
8.7.1 Company Overview
8.7.2 Financial Analysis
8.7.3 Segmental and Regional Analysis
8.7.4 Research & Development Expense
8.7.5 Recent Strategies and Developments
8.7.5.1 Partnerships, Collaborations, and Agreements
8.7.5.2 Product Launches and Product Expansions
8.7.6 SWOT Analysis
8.8 Xilinx, Inc. (Advanced Micro Devices, Inc.)
8.8.1 Company Overview
8.8.2 Financial Analysis
8.8.3 Segmental and Regional Analysis
8.8.4 Research & Development Expenses
8.8.5 Recent Strategies and Developments
8.8.5.1 Partnerships, Collaborations, and Agreements
8.8.5.2 Acquisition and Mergers
8.9 Digital Diagnostics, Inc.
8.9.1 Company Overview
8.9.2 Recent Strategies and Developments
8.9.2.1 Partnerships, Collaborations, and Agreements
8.9.2.2 Acquisition and Mergers
8.10. InformAI, LLC
8.10.1 Company Overview

Companies Mentioned

  • Microsoft Corporation
  • Nvidia Corporation
  • IBM Corporation
  • Intel Corporation
  • Google LLC
  • Siemens Healthineers AG (Siemens AG)
  • General Electric (GE) Co. (GE Healthcare)
  • Xilinx, Inc.
  • Digital Diagnostics, Inc.
  • InformAI, LLC

Methodology

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