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COVID-19 Impact on Global AI In Medical Imaging Market Size, Status and Forecast 2020-2026

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1 Report Overview

  • 1.1 Study Scope
  • 1.2 Key Market Segments
  • 1.3 Players Covered: Ranking by AI In Medical Imaging Revenue
  • 1.4 Market Analysis by Type
    • 1.4.1 Global AI In Medical Imaging Market Size Growth Rate by Type: 2020 VS 2026
    • 1.4.2 Software
    • 1.4.3 Hardware
  • 1.5 Market by Application
    • 1.5.1 Global AI In Medical Imaging Market Share by Application: 2020 VS 2026
    • 1.5.2 Hospitals
    • 1.5.3 Clinics
    • 1.5.4 Others
  • 1.6 Coronavirus Disease 2019 (Covid-19): AI In Medical Imaging Industry Impact
    • 1.6.1 How the Covid-19 is Affecting the AI In Medical Imaging Industry
      • 1.6.1.1 AI In Medical Imaging Business Impact Assessment - Covid-19
      • 1.6.1.2 Supply Chain Challenges
      • 1.6.1.3 COVID-19’s Impact On Crude Oil and Refined Products
    • 1.6.2 Market Trends and AI In Medical Imaging Potential Opportunities in the COVID-19 Landscape
    • 1.6.3 Measures / Proposal against Covid-19
      • 1.6.3.1 Government Measures to Combat Covid-19 Impact
      • 1.6.3.2 Proposal for AI In Medical Imaging Players to Combat Covid-19 Impact
  • 1.7 Study Objectives
  • 1.8 Years Considered

2 Global Growth Trends by Regions

  • 2.1 AI In Medical Imaging Market Perspective (2015-2026)
  • 2.2 AI In Medical Imaging Growth Trends by Regions
    • 2.2.1 AI In Medical Imaging Market Size by Regions: 2015 VS 2020 VS 2026
    • 2.2.2 AI In Medical Imaging Historic Market Share by Regions (2015-2020)
    • 2.2.3 AI In Medical Imaging Forecasted Market Size by Regions (2021-2026)
  • 2.3 Industry Trends and Growth Strategy
    • 2.3.1 Market Top Trends
    • 2.3.2 Market Drivers
    • 2.3.3 Market Challenges
    • 2.3.4 Porter’s Five Forces Analysis
    • 2.3.5 AI In Medical Imaging Market Growth Strategy
    • 2.3.6 Primary Interviews with Key AI In Medical Imaging Players (Opinion Leaders)

3 Competition Landscape by Key Players

  • 3.1 Global Top AI In Medical Imaging Players by Market Size
    • 3.1.1 Global Top AI In Medical Imaging Players by Revenue (2015-2020)
    • 3.1.2 Global AI In Medical Imaging Revenue Market Share by Players (2015-2020)
    • 3.1.3 Global AI In Medical Imaging Market Share by Company Type (Tier 1, Tier 2 and Tier 3)
  • 3.2 Global AI In Medical Imaging Market Concentration Ratio
    • 3.2.1 Global AI In Medical Imaging Market Concentration Ratio (CR5 and HHI)
    • 3.2.2 Global Top 10 and Top 5 Companies by AI In Medical Imaging Revenue in 2019
  • 3.3 AI In Medical Imaging Key Players Head office and Area Served
  • 3.4 Key Players AI In Medical Imaging Product Solution and Service
  • 3.5 Date of Enter into AI In Medical Imaging Market
  • 3.6 Mergers & Acquisitions, Expansion Plans

4 Breakdown Data by Type (2015-2026)

  • 4.1 Global AI In Medical Imaging Historic Market Size by Type (2015-2020)
  • 4.2 Global AI In Medical Imaging Forecasted Market Size by Type (2021-2026)

5 AI In Medical Imaging Breakdown Data by Application (2015-2026)

  • 5.1 Global AI In Medical Imaging Market Size by Application (2015-2020)
  • 5.2 Global AI In Medical Imaging Forecasted Market Size by Application (2021-2026)

6 North America

  • 6.1 North America AI In Medical Imaging Market Size (2015-2020)
  • 6.2 AI In Medical Imaging Key Players in North America (2019-2020)
  • 6.3 North America AI In Medical Imaging Market Size by Type (2015-2020)
  • 6.4 North America AI In Medical Imaging Market Size by Application (2015-2020)

7 Europe

  • 7.1 Europe AI In Medical Imaging Market Size (2015-2020)
  • 7.2 AI In Medical Imaging Key Players in Europe (2019-2020)
  • 7.3 Europe AI In Medical Imaging Market Size by Type (2015-2020)
  • 7.4 Europe AI In Medical Imaging Market Size by Application (2015-2020)

8 China

  • 8.1 China AI In Medical Imaging Market Size (2015-2020)
  • 8.2 AI In Medical Imaging Key Players in China (2019-2020)
  • 8.3 China AI In Medical Imaging Market Size by Type (2015-2020)
  • 8.4 China AI In Medical Imaging Market Size by Application (2015-2020)

9 Japan

  • 9.1 Japan AI In Medical Imaging Market Size (2015-2020)
  • 9.2 AI In Medical Imaging Key Players in Japan (2019-2020)
  • 9.3 Japan AI In Medical Imaging Market Size by Type (2015-2020)
  • 9.4 Japan AI In Medical Imaging Market Size by Application (2015-2020)

10 Southeast Asia

  • 10.1 Southeast Asia AI In Medical Imaging Market Size (2015-2020)
  • 10.2 AI In Medical Imaging Key Players in Southeast Asia (2019-2020)
  • 10.3 Southeast Asia AI In Medical Imaging Market Size by Type (2015-2020)
  • 10.4 Southeast Asia AI In Medical Imaging Market Size by Application (2015-2020)

11 India

  • 11.1 India AI In Medical Imaging Market Size (2015-2020)
  • 11.2 AI In Medical Imaging Key Players in India (2019-2020)
  • 11.3 India AI In Medical Imaging Market Size by Type (2015-2020)
  • 11.4 India AI In Medical Imaging Market Size by Application (2015-2020)

12 Central & South America

  • 12.1 Central & South America AI In Medical Imaging Market Size (2015-2020)
  • 12.2 AI In Medical Imaging Key Players in Central & South America (2019-2020)
  • 12.3 Central & South America AI In Medical Imaging Market Size by Type (2015-2020)
  • 12.4 Central & South America AI In Medical Imaging Market Size by Application (2015-2020)

13 Key Players Profiles

  • 13.1 General Electric
    • 13.1.1 General Electric Company Details
    • 13.1.2 General Electric Business Overview and Its Total Revenue
    • 13.1.3 General Electric AI In Medical Imaging Introduction
    • 13.1.4 General Electric Revenue in AI In Medical Imaging Business (2015-2020))
    • 13.1.5 General Electric Recent Development
  • 13.2 IBM Watson Health
    • 13.2.1 IBM Watson Health Company Details
    • 13.2.2 IBM Watson Health Business Overview and Its Total Revenue
    • 13.2.3 IBM Watson Health AI In Medical Imaging Introduction
    • 13.2.4 IBM Watson Health Revenue in AI In Medical Imaging Business (2015-2020)
    • 13.2.5 IBM Watson Health Recent Development
  • 13.3 Philips Healthcare
    • 13.3.1 Philips Healthcare Company Details
    • 13.3.2 Philips Healthcare Business Overview and Its Total Revenue
    • 13.3.3 Philips Healthcare AI In Medical Imaging Introduction
    • 13.3.4 Philips Healthcare Revenue in AI In Medical Imaging Business (2015-2020)
    • 13.3.5 Philips Healthcare Recent Development
  • 13.4 SAMSUNG
    • 13.4.1 SAMSUNG Company Details
    • 13.4.2 SAMSUNG Business Overview and Its Total Revenue
    • 13.4.3 SAMSUNG AI In Medical Imaging Introduction
    • 13.4.4 SAMSUNG Revenue in AI In Medical Imaging Business (2015-2020)
    • 13.4.5 SAMSUNG Recent Development
  • 13.5 Medtronic
    • 13.5.1 Medtronic Company Details
    • 13.5.2 Medtronic Business Overview and Its Total Revenue
    • 13.5.3 Medtronic AI In Medical Imaging Introduction
    • 13.5.4 Medtronic Revenue in AI In Medical Imaging Business (2015-2020)
    • 13.5.5 Medtronic Recent Development
  • 13.6 EchoNous
    • 13.6.1 EchoNous Company Details
    • 13.6.2 EchoNous Business Overview and Its Total Revenue
    • 13.6.3 EchoNous AI In Medical Imaging Introduction
    • 13.6.4 EchoNous Revenue in AI In Medical Imaging Business (2015-2020)
    • 13.6.5 EchoNous Recent Development
  • 13.7 Enlitic
    • 13.7.1 Enlitic Company Details
    • 13.7.2 Enlitic Business Overview and Its Total Revenue
    • 13.7.3 Enlitic AI In Medical Imaging Introduction
    • 13.7.4 Enlitic Revenue in AI In Medical Imaging Business (2015-2020)
    • 13.7.5 Enlitic Recent Development
  • 13.8 Siemens Healthcare
    • 13.8.1 Siemens Healthcare Company Details
    • 13.8.2 Siemens Healthcare Business Overview and Its Total Revenue
    • 13.8.3 Siemens Healthcare AI In Medical Imaging Introduction
    • 13.8.4 Siemens Healthcare Revenue in AI In Medical Imaging Business (2015-2020)
    • 13.8.5 Siemens Healthcare Recent Development
  • 13.9 Intel
    • 13.9.1 Intel Company Details
    • 13.9.2 Intel Business Overview and Its Total Revenue
    • 13.9.3 Intel AI In Medical Imaging Introduction
    • 13.9.4 Intel Revenue in AI In Medical Imaging Business (2015-2020)
    • 13.9.5 Intel Recent Development
  • 13.10 NVIDIA
    • 13.10.1 NVIDIA Company Details
    • 13.10.2 NVIDIA Business Overview and Its Total Revenue
    • 13.10.3 NVIDIA AI In Medical Imaging Introduction
    • 13.10.4 NVIDIA Revenue in AI In Medical Imaging Business (2015-2020)
    • 13.10.5 NVIDIA Recent Development

14 Analyst's Viewpoints/Conclusions

    15 Appendix

    • 15.1 Research Methodology
      • 15.1.1 Methodology/Research Approach
      • 15.1.2 Data Source
    • 15.2 Disclaimer

    This report focuses on the global AI In Medical Imaging status, future forecast, growth opportunity, key market and key players. The study objectives are to present the AI In Medical Imaging development in North America, Europe, China, Japan, Southeast Asia, India and Central & South America.

    The key players covered in this study
    General Electric
    IBM Watson Health
    Philips Healthcare
    SAMSUNG
    Medtronic
    EchoNous
    Enlitic
    Siemens Healthcare
    Intel
    NVIDIA

    Market segment by Type, the product can be split into
    Software
    Hardware
    Market segment by Application, split into
    Hospitals
    Clinics
    Others

    Market segment by Regions/Countries, this report covers
    North America
    Europe
    China
    Japan
    Southeast Asia
    India
    Central & South America

    The study objectives of this report are:
    To analyze global AI In Medical Imaging status, future forecast, growth opportunity, key market and key players.
    To present the AI In Medical Imaging development in North America, Europe, China, Japan, Southeast Asia, India and Central & South America.
    To strategically profile the key players and comprehensively analyze their development plan and strategies.
    To define, describe and forecast the market by type, market and key regions.

    In this study, the years considered to estimate the market size of AI In Medical Imaging are as follows:
    History Year: 2015-2019
    Base Year: 2019
    Estimated Year: 2020
    Forecast Year 2020 to 2026
    For the data information by region, company, type and application, 2019 is considered as the base year. Whenever data information was unavailable for the base year, the prior year has been considered.

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