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Market Research Report

Growth Opportunities in the Global Medical Imaging Artificial Intelligence Market, Forecast to 2022

Published by Frost & Sullivan Product code 739372
Published Content info 136 Pages
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Growth Opportunities in the Global Medical Imaging Artificial Intelligence Market, Forecast to 2022
Published: October 30, 2018 Content info: 136 Pages
Description

Emerging Use Cases, Revenue, and Industry Savings Potential

Artificial Intelligence (AI) for medical imaging is a reality now. While image analysis applications are the most advanced, adopted, and well-known, there are several other use cases which are probably not as well-known or thought of. Applications across the imaging workflow, beginning with the ordering of images by a physician, scheduling of the scans, image acquisitions, assignment of the studies, viewing those studies, analyzing (or the aforementioned image analysis example), interpreting, deciding, reporting, and follow-up can all benefit from using AI. However, all these applications lie in the clinical side of medical imaging; AI can have preclinical applications as well that aim to serve the medical research aspects of healthcare (imaging biomarker validations or patient-matching for clinical trials, for example).

We segment the market applications into image analysis (which is the most dominant area), cognitive applications (which deal with non-pixel data-related AI), machine intelligence (or ‘smart' medical imaging equipment), and research and development services around AI solutions for providers and other business-to-business vendors. We believe the market will grow with double-digit rates year-on-year, with image analysis being the predominant segment, but we will also see machine intelligence becoming the second largest segment by the end of this forecast period. Considering the types of applications AI has within the medical imaging industry, it is without a doubt that it will impact all aspects of the medical imaging services industry, which includes diagnostic and imaging equipment, imaging informatics as well as professional services sectors. These sectors will reap a significant return on investments (ROI) by implementing AI by productivity and quality gains. Despite this, we find the investments in the field to be gradually slowing down, but we also feel it may pick up again.

Research Scope:

This study analyzes over 135 global companies active in the AI for medical imaging space and mapping their solutions along the application segments described above. It also identifies some of the leading global providers involved in AI research for medical imaging. Additionally, it summarizes initiatives by larger tech companies, including the GAFAM companies. Overall, it has several analyses around the startup landscape, regulatory approvals, kinds of investments in this industry and their expected ROI, adoption in the industry, revenue forecasts, and also growth opportunities.

Key Issues Addressed:

  • What is artificial intelligence, and how does it play a role in healthcare and specifically in medical imaging? What are the various use cases for AI in medical imaging, across the imaging workflow? Which are the representative companies that either have or can support AI solutions for each of these areas?
  • What is the estimated market or revenue size for AI in medical imaging, and what would be the expected growth until 2022? How does that compare with medical imaging services industry's savings resulting from investing and implementing AI solutions?
  • What does the competitive landscape look like?
  • By when will AI be adopted in the mainstream in medical imaging?
  • What are the top 10 predictions for this market, and what are the top 10 growth opportunities in this space?
Table of Contents
Product Code: MD1C-50

Table of Contents

1. EXECUTIVE DASHBOARD

  • Purpose of this Experiential Study
  • 5 Step Process to Transformational Growth
  • Strategic Imperatives for AI for Medical Imaging Market

2. GROWTH ENVIRONMENT-INTRODUCTION TO ARTIFICIAL INTELLIGENCE

  • Market Definitions
  • Recognizing AI Potential
  • Discerning AI Applications
  • Understanding Available AI Techniques
  • How to Categorize AI Systems in Healthcare
  • Drivers and Restraints for AI in Medical Imaging

3. GROWTH ENVIRONMENT-MEDICAL IMAGING AI APPLICATIONS

  • Medical Imaging AI Market Segmentation
  • Medical Imaging AI Market Segmentation (continued)
  • Preclinical Applications for Medical Imaging AI
  • Medical Imaging AI Applications Across Imaging Workflow
  • Maturity of AI Applications Along the Clinical Imaging Workflow
  • Use Cases and Applications at Ordering Stage
  • Use Cases and Applications at Scheduling Stage
  • Use Cases and Applications at Acquisition Stage
  • Use Cases and Applications at Assigning Stage
  • Use Cases and Applications at Viewing Stage
  • Use Cases and Applications at Analysis Stage
  • Use Cases and Applications at Interpretation Stage
  • Use Cases and Applications at Decision Stage
  • Use Cases and Applications at Reporting Stage
  • Use Cases and Applications at Follow-up Stage

4. GROWTH ENVIRONMENT-MARKET FORECASTS

  • Segment Scope for Revenue Forecasts
  • Types of Revenue Generators in AI for Medical Imaging Market
  • Revenue Forecast
  • Revenue Forecast Discussion
  • Percent Revenue Forecast by Segment
  • Percent Revenue Forecast Discussion by Segment
  • Revenue Forecast by Segment
  • Revenue Forecast Discussion-Image Analysis
  • Revenue Forecast Discussion-Machine Intelligence
  • Revenue Forecast Discussion-Cognitive Computing
  • Revenue Forecast Discussion-R&D Services

5. GROWTH ENVIRONMENT-INDUSTRY SAVINGS

  • AI's Impact on Medical Imaging Services Market
  • Medical Imaging AI Savings Opportunity
  • Provider Investment and Savings from Medical Imaging AI Applications
  • Savings Generated by Medical Imaging AI Solutions
  • Categories of Industry Savings
  • Productivity Vs. Quality Gains
  • Assessing Medical Imaging Industry Savings Using AI
  • Medical Imaging AI Applications Adoption Scenarios
  • Adoption of Medical Imaging AI Solutions-Discussion

6. GROWTH ENVIRONMENT-AI MARKET DEVELOPMENT INVESTMENTS

  • Medical Imaging AI Investments
  • Medical Imaging AI Investments (continued)
  • Global Targets for Medical Imaging AI Investments
  • Regional Analysis of Startup Investment
  • Regional Analysis of Startup Investment (continued)
  • Regional Analysis of Startup Investment (continued)
  • Regional Analysis of Startup Landscape
  • Investments Vs. Revenues
  • Investments Vs. Revenues (continued)
  • Investments Vs. Revenues (continued)
  • Investments Vs. Revenues (continued)

7. GROWTH ENVIRONMENT-COMPETITIVE LANDSCAPE

  • Medical Imaging AI-Technology Stack
  • Global Provider Organizations Leading Charge in Medical Imaging AI R&D
  • Universe of Medical Image Analysis AI Companies
  • Universe of Medical Image Analysis AI Companies (continued)
  • The GAFAM of Medical Imaging AI-TAFMIGA
  • Rise of New Medical Imaging AI Applications During 2009-2022
  • Rise of New Medical Imaging AI Applications During 2009-2022 (continued)

8. VISIONING SCENARIOS

  • Macro to Micro Visioning
  • Trends/Factors Impacting the Medical Imaging AI Market
  • Top 10 Predictions for AI in Medical Imaging Market
  • Top 10 Predictions for AI in Medical Imaging Market (continued)

9. GROWTH PIPELINE

  • Levers for Growth

10. VISION AND STRATEGY-GROWTH OPPORTUNITIES

  • Growth Opportunity 1-Acceleration and Automation of Manual Image Analysis Tasks
  • Growth Opportunity 1-Acceleration and Automation of Manual Image Analysis Tasks (continued)
  • Potential of Growth Opportunity 1-Acceleration and Automation of Manual Image Analysis Tasks
  • Economic Model Supporting Growth Opportunity 1-Acceleration and Automation of Manual Image Analysis Tasks
  • Economic Model Supporting Growth Opportunity 1-Acceleration and Automation of Manual Image Analysis Tasks (continued)
  • Growth Opportunity 2-Augmentation of Current Image Analysis Practices
  • Growth Opportunity 2-Augmentation of Current Image Analysis Practices (continued)
  • Potential of Growth Opportunity 2-Augmentation of Current Image Analysis Practices
  • Growth Opportunity 3-On-demand Inferencing of Cloud-based SaaS Apps
  • Growth Opportunity 3-On-demand Inferencing of Cloud-based SaaS Apps (continued)
  • Growth Opportunity 3-On-demand Inferencing of Cloud-based SaaS Apps (continued)
  • Growth Opportunity 4-R&D Services to the AI Development Community
  • Growth Opportunity 4-R&D Services to the AI Development Community (continued)
  • Illustration of Growth Opportunity 4-R&D Services to the AI Development Community
  • Illustration of Growth Opportunity 4-R&D Services to the AI Development Community (continued)
  • Growth Opportunity 5-Cognitive Medical Imaging Workflow Tools
  • Growth Opportunity 5-Cognitive Medical Imaging Workflow Tools (continued)
  • Growth Opportunity 5-Cognitive Medical Imaging Workflow Tools (continued)
  • Growth Opportunity 6-Image-guided Procedures and Radiotherapy Treatment Planning
  • Growth Opportunity 6-Image-guided Procedures and Radiotherapy Treatment Planning (continued)
  • Growth Opportunity 6-Image-guided Procedures and Radiotherapy Treatment Planning (continued)
  • Growth Opportunity 7-Deep Learning-based Image Reconstruction
  • Growth Opportunity 7-Deep Learning-based Image Reconstruction (continued)
  • Growth Opportunity 7-Deep Learning-based Image Reconstruction (continued)
  • Advances in Growth Opportunity 7-Deep Learning-based Image Reconstruction in MRI
  • Growth Opportunity 8-Intelligent Medical Imaging Machines
  • Growth Opportunity 8-Intelligent Medical Imaging Machines (continued)
  • Growth Opportunity 8-Intelligent Medical Imaging Machines (continued)
  • Growth Opportunity 9-AI Applied at the Edge
  • Growth Opportunity 9-AI Applied at the Edge (continued)
  • Growth Opportunity 9-AI Applied at the Edge (continued)
  • Growth Opportunity 10-AI as a Contributor of Precision Health
  • Growth Opportunity 10-AI as a Contributor of Precision Health (continued)
  • Growth Opportunity 10-AI as a Contributor of Precision Health (continued)
  • Growth Opportunity 10-AI as a Contributor of Precision Health(continued)
  • Summarized Growth Opportunities

11. GROWTH OPPORTUNITIES MATRIX

  • Identifying Your Company's Growth Zone
  • Growth Opportunities 1-10-Vision and Strategy
  • Growth Opportunities Matrix

12. GROWTH STRATEGY AND IMPLEMENTATION

  • Growth Strategies for Your Company
  • Prioritized Opportunities through Implementation
  • Legal Disclaimer

13. APPENDIX

  • Abbreviations and Acronyms Used
  • AI Development Engagement Models
  • AI Development Engagement Models (continued)
  • List of Exhibits
  • List of Exhibits (continued)
  • List of Exhibits (continued)
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