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Artificial Intelligence (AI) in Medical Imaging Market - By Technology (Deep Learning, Machine Learning, Computer Vision), Clinical Application (Neurology, Digital Pathology), Modalities (X-ray, CT, MRI, Ultrasound), End-user (Hospitals, Clinics), Global Forecast 2023 - 2032

  • Report ID: GMI5378
  • Published Date: Jul 2023
  • Report Format: PDF

Report Content

Chapter 1   Methodology & Scope

1.1    Market scope & definition

1.2    Base estimates & calculations

1.3    Forecast parameters

1.4    COVID-19 impact analysis at global level

1.5    Data validation

1.6    Data Sources

1.6.1    Primary

1.6.2    Secondary

1.6.2.1   Paid sources

1.6.2.2   Unpaid sources

Chapter 2   Executive Summary

2.1    Artificial intelligence in medical imaging market 360° synopsis, 2018 - 2032

2.1.1    Business trends

2.1.2    Regional trends

2.1.3    Modality trends

2.1.4    Application trends

2.1.5    End-use trends

Chapter 3   Artificial Intelligence in Medical Imaging Industry Insights

3.1    Industry ecosystem analysis

3.2    Industry impact forces

3.2.1    Growth drivers

3.2.1.1   Technological advancements in AI increase its applications in medical imaging

3.2.1.2   Global shortage of radiologists will increase the adoption of AI in medical imaging

3.2.1.3   Improved diagnostic accuracy and treatment planning offered by AI in medical imaging

3.2.1.4   Huge R&D investment from growing ecosystem of market players

3.2.2    Industry pitfalls & challenges

3.2.2.1   Slow regulatory approval process

3.2.2.2   Patient harm due to AI errors

3.3    Growth potential analysis

3.3.1    By modality

3.3.2    By application

3.3.3    By end-user

3.4    COVID- 19 impact analysis

3.5    Regulatory landscape

3.5.1    U.S.

3.5.2    Europe

3.6    Benefits offered by machine learning in medical imaging

3.6.1    Patient management and scheduling

3.6.2    Image acquisition

3.6.3    Image analysis

3.6.4    Medical image reporting

3.6.5    Treatment planning & follow-up

3.7    Challenges for AI in medical imaging

3.8    Porter's analysis

3.9    PESTEL analysis

Chapter 4   Competitive Landscape, 2022

4.1    Introduction

4.2    Company matrix analysis, 2022

4.3    Competitive analysis of major market players

4.4    Strategic outlook matrix

4.5    Strategy dashboard, 2022

Chapter 5   Artificial Intelligence in Medical Imaging Market Size and Forecast, By Modality (USD Million)

5.1    Key trends, by modality

5.2    X-ray

5.3    Computed tomography (CT)

5.4    Magnetic Resonance Imaging (MRI)

5.5    Ultrasound imaging

5.6    Molecular imaging

Chapter 6   Artificial Intelligence in Medical Imaging Market Size and Forecast, By Application (USD Million)

6.1    Key trends, by application

6.2    Breast imaging

6.3    Lung imaging

6.4    Neurology

6.5    Cardiovascular applications

6.6    Liver imaging

6.7    Other applications

Chapter 7   Artificial Intelligence in Medical Imaging Market Size and Forecast, By End-use (USD Million)

7.1    Key trends, by end-use

7.2    Hospitals

7.3    Clinics

7.4    Diagnostic centers

7.5    Other end users

Chapter 8   Artificial Intelligence in Medical Imaging Market Size and Forecast, By Region (USD Million)

8.1    Key trends, by region

8.2    North America

8.2.1    U.S.

8.2.2    Canada

8.3    Europe

8.3.1    Germany

8.3.2    UK

8.3.3    France

8.3.4    Spain

8.3.5    Italy

8.3.6    Rest of Europe

8.4    Asia Pacific

8.4.1    Japan

8.4.2    China

8.4.3    India

8.4.4    Australia

8.4.5    Rest of Asia Pacific

8.5    Latin America

8.5.1    Brazil

8.5.2    Mexico

8.5.3    Rest of Latin America

8.6    Middle East & Africa

8.6.1    South Africa

8.6.2    Saudi Arabia

8.6.3    Rest of Middle East & Africa

Chapter 9   Company Profiles

9.1    Arterys Inc.

9.2    DIGITAL DIAGNOSTICS INC.

9.3    GE Healthcare

9.4    IBM Watson Health

9.5    InformAI, LLC

9.6    Intel Corporation

9.7    Koninklijke Philips N.V.

9.8    Lunit Inc.

9.9    Nanox Imaging LTD.

9.10    Siemens Healthcare GmbH
 

Authors: Mariam Faizullabhoy, Gauri Wani

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Premium Report Details

  • Base Year: 2022
  • Companies covered: 10
  • Tables & Figures: 214
  • Countries covered: 19
  • Pages: 150
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