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The Impact of COVID-19 is included in AI In Medical Imaging Market. Buy it today to get an advantage.

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The future of the AI usage in the global medical imaging market looks promising with opportunities in hospitals, clinics, research laboratories, and others. The use of AI in the global medical imaging market is expected to decline in 2020 due to the global economic recession led by the COVID-19 pandemic. However, the market will witness recovery in the year 2021, and it is expected grow with a CAGR of 29% to 31% from 2020 to 2025. The major drivers for this market are growing number of diagnostic procedure and digital transformation and technological development in the healthcare industry.

A more than 150 page report is developed to help in your business decisions. Sample figures with some insights are shown below. To learn the scope of, benefits, companies researched and other details of AI in medical imaging market report download the report brochure.
 
 
 
 




 
 
 
The study includes trends and forecasts for AI in the global medical imaging market by offering, technology, deployment type, application, clinical application, end user, and region as follows:

By Offering [$M shipment analysis for 2014 – 2025]:
  • Hardware
  • Software
  • Services 

By End User [$M shipment analysis for 2014 – 2025]:
  • Hospitals
  • Clinics
  • Research Laboratories
  • Others 

By Technology [$M shipment analysis for 2014 – 2025]:
  • Deep Learning
  • Computer Vision
  • NLP
  • Others

By Deployment Type [$M shipment analysis for 2014 – 2025]:
  • On-Premise 
  • Cloud

By Application [$M shipment analysis for 2014 – 2025]:
  • X-Ray
  • CT
  • MRI
  • Ultrasound
  • Molecular Imaging

By Clinical Application [$M shipment analysis for 2014 – 2025]:
  • Breast
  • Lung
  • Neurology
  • Cardiovascular
  • Liver
  • Prostate
  • Colon
  • Musculoskeletal
  • Others

By Region [$M shipment analysis for 2014 – 2025]:
  • North America
    • United States
    • Canada
    • Mexico
  • Europe
    • Germany
    • United Kingdom
    • France
    • Italy
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
  • The Rest of the World

Some of the AI in medical imaging market companies profiled in this report include GE Healthcare, Siemens, IBM Corporation, BenevolentAI, Philips Healthcare, and Enlitic

Hospitals will remain the largest end use industry during the forecast period, as they are easily accessible and omnipresent.

North America will remain the largest region during the forecast period due to technologically advanced healthcare infrastructure and high disposable income.




 
Features of AI in Medical Imaging Market
 
  • Market Size Estimates: AI in medical imaging market size estimation in terms of value ($M)
  • Trend and Forecast Analysis: Market trends (2014-2019) and forecast (2020-2025) by various segments and regions.
  • Segmentation Analysis: Market size by offering, technology, deployment type, application, clinical application, and end user
  • Regional Analysis: AI in medical imaging market breakdown by North America, Europe, Asia Pacific, and the Rest of the World.
  • Growth Opportunities: Analysis on growth opportunities in different offering, technology, deployment type, application, clinical application, end user, and regions for AI in medical imaging.
  • Strategic Analysis: This includes M&A, new product development, and competitive landscape for the AI in medical imaging.
  • Analysis of competitive intensity of the industry based on Porter’s Five Forces model.





 
This report answers following 11 key questions
 
Q.1 What are some of the most promising potential, high-growth opportunities for the AI in global medical imaging market by offering (hardware, software, and services), technology (deep learning, computer vision, NLP, and others), deployment type (on-premise and cloud), application (X-ray, CT, MRI, ultrasound, molecular imaging), clinical application (breast, lung, neurology, cardiovascular, liver, prostate, colon, musculoskeletal, and others), end user (hospitals, clinics, research laboratories, and others), and region (North America, Europe, Asia Pacific, and the Rest of the World)?
Q.2 Which segments will grow at a faster pace and why?
Q.3 Which regions will grow at a faster pace and why?
Q.4 What are the key factors affecting market dynamics? What are the drivers and challenges of AI in the medical imaging market?
Q.5 What are the business risks and threats to AI in the medical imaging market?
Q.6 What are emerging trends in AI in the medical imaging market and the reasons behind them?
Q.7 What are some changing demands of customers for AI in the medical imaging market?
Q.8 What are the new developments in AI in the medical imaging market? Which companies are leading these developments?
Q.9 Who are the major AI players in the medical imaging market? What strategic initiatives are being implemented by key players for business growth?
Q.10 What are some of the competitive products and processes of AI in the medical imaging market, and how big of a threat do they pose for loss of market share via material or product substitution?
Q.11 What M&A activities did take place in the last five years in the medical imaging market in terms of AI usage?

Table of Contents

 
1. Executive Summary

2. Market Background and Classifications
2.1: Introduction, Background, and Classifications
2.2: Supply Chain
2.3: Industry Drivers and Challenges

3. Market Trends and Forecast Analysis from 2014 to 2025
3.1: Macroeconomic Trends (2014-2019) and Forecast (2020-2025)
3.2: AI in Global Medical Imaging Market Trends (2014-2019) and Forecast (2020-2025)
3.3: AI in Global Medical Imaging Market by End User
3.3.1: Hospitals
3.3.2: Clinics
3.3.3: Research Laboratories
3.3.4: Others 
3.4: AI in Global Medical Imaging Market by Offering
3.4.1: Hardware
3.4.2: Software
3.4.3: Services 
3.5: AI in Global Medical Imaging Market by Technology
3.5.1: Deep Learning
3.5.2: Computer Vision
3.5.3: NLP
3.5.4: Others 
3.6: AI in Global Medical Imaging Market by Deployment Type
3.6.1: On-Premise 
3.6.2: Cloud 
3.7: AI in Global Medical Imaging Market by Application
3.7.1: X-Ray
3.7.2: CT
3.7.3: MRI
3.7.4: Ultrasound
3.7.5: Molecular Imaging 
3.8: AI in Global Medical Imaging Market by Clinical Applications
3.8.1: Breast
3.8.2: Lung
3.8.3: Neurology
3.8.4: Cardiovascular
3.8.5: Liver
3.8.6: Prostate
3.8.7: Colon
3.8.8: Musculoskeletal
3.8.9: Others 

4. Market Trends and Forecast Analysis by Region from 2014 to 2025
4.1: AI in Global Medical Imaging Market by Region
4.2: North American AI in Medical Imaging Market
4.2.1: Market by End User
4.2.2: Market by Technology
4.2.3: The US AI Market in Medical Imaging
4.2.4: The Canadian AI in Medical Imaging Market
4.2.5: The Mexican AI in Medical Imaging Market
4.3: European AI in Medical Imaging Market 
4.3.1: Market by End User
4.3.2: Market by Technology
4.3.3: German AI in Medical Imaging Market 
4.3.4: United Kingdom AI in Medical Imaging Market
4.3.5: French AI in Medical Imaging Market
4.3.6: Italian AI in Medical Imaging Market
4.4: APAC AI in Medical Imaging Market
4.4.1: Market by End User
4.4.2: Market by Technology
4.4.3: Chinese AI in Medical Imaging Market
4.4.4: Japanese AI in Medical Imaging Market
4.4.5: Indian AI in Medical Imaging Market
4.4.6: South Korean AI in Medical Imaging Market
4.5: ROW AI in Medical Imaging Market
4.5.1: Market by End User
4.5.2: Market by Technology

5. Competitor Analysis
5.1: Product Portfolio Analysis
5.2: Geographical Reach
5.3: Porter’s Five Forces Analysis

6. Growth Opportunities and Strategic Analysis
6.1: Growth Opportunity Analysis
6.1.1: Growth Opportunities for the AI in Global Medical Imaging Market by End User
6.1.2: Growth Opportunities for the AI in Global Medical Imaging Market by Offering
6.1.3: Growth Opportunities for the AI in Global Medical Imaging Market by Technology
6.1.4: Growth Opportunities for the AI in Global Medical Imaging Market by Deployment Type
6.1.5: Growth Opportunities for the AI in Global Medical Imaging Market by Application
6.1.6: Growth Opportunities for the AI in Global Medical Imaging Market by Clinical Applications
6.1.7: Growth Opportunities for the AI in Global Medical Imaging Market by Region 
6.2: Emerging Trends in the AI in Global Medical Imaging Market 
6.3: Strategic Analysis
6.3.1: New Product Development
6.3.2: Capacity Expansion of the AI in Global Medical Imaging Market
6.3.3: Technology Development
6.3.4: Mergers and Acquisitions in the AI in Global Medical Imaging Market

7. Company Profiles of Leading Players
7.1: GE Healthcare
7.2: Siemens
7.3: IBM Corporation
7.4: BenevolentAI
7.5: Philips Healthcare
7.6: Enlitic, Inc 
 
.

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Lucintel has been in the business of market research and management consulting since 2000 and has published over 1000 market intelligence reports in various markets / applications and served over 1,000 clients worldwide. This study is a culmination of four months of full-time effort performed by Lucintel's analyst team. The analysts used the following sources for the creation and completion of this valuable report:
  • In-depth interviews of the major players in this market
  • Detailed secondary research from competitors’ financial statements and published data 
  • Extensive searches of published works, market, and database information pertaining to industry news, company press releases, and customer intentions
  • A compilation of the experiences, judgments, and insights of Lucintel’s professionals, who have analyzed and tracked this market over the years.
Extensive research and interviews are conducted across the supply chain of this market to estimate market share, market size, trends, drivers, challenges, and forecasts. Below is a brief summary of the primary interviews that were conducted by job function for this report.
 
Thus, Lucintel compiles vast amounts of data from numerous sources, validates the integrity of that data, and performs a comprehensive analysis. Lucintel then organizes the data, its findings, and insights into a concise report designed to support the strategic decision-making process. The figure below is a graphical representation of Lucintel’s research process. 
 

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