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医療画像用AIの世界市場:市場予測・成長機会の分析 (〜2022年)

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

発行 Frost & Sullivan 商品コード 739372
出版日 ページ情報 英文 136 Pages
納期: 即日から翌営業日
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本日の銀行送金レート: 1USD=114.61円で換算しております。
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医療画像用AIの世界市場:市場予測・成長機会の分析 (〜2022年) Growth Opportunities in the Global Medical Imaging Artificial Intelligence Market, Forecast to 2022
出版日: 2018年10月30日 ページ情報: 英文 136 Pages
概要

医療画像分野におけるAIの利用が現実のものとなっています。分析用途がもっともよく知られ、開発・導入が進んでいますが、画像のオーダー、スキャンスケジューリング、画像取得など、イメージングワークフローにおけるその他の各種用途や、臨床試験の患者マッチングなどの前臨床段階における各種用途もAIによる恩恵を受けることができる可能性を秘めています。

当レポートでは、世界の医療画像用AIの市場を調査し、医療画像部門におけるAIの各種用途とメリット、導入部門と利用事例、部門別の収益および収益シェアの予測、コスト削減の効果、投資動向、競合環境、成長機会・成長戦略の分析などをまとめています。

第1章 エグゼクティブダッシュボード

第5章 変革的成長への段階

第2章 AIの概要

  • 市場の定義
  • AIの潜在性の認識
  • AI用途の見極め
  • AI技術のアベイラビリティ
  • ヘルスケア部門におけるAIシステムのカテゴリー化
  • 推進因子と障壁

第3章 医療画像用AIの各種用途

  • 医療画像用AIの市場区分
  • 医療画像用AIの前臨床の各種用途
  • 医療画像用AIのイメージングワークフローにおける各種用途
  • イメージングワークフローにおけるAI用途の成熟度
  • 利用事例・用途:オーダー段階
  • 利用事例・用途:スケジューリング段階
  • 利用事例・用途:取得段階
  • 利用事例・用途:配置段階
  • 利用事例・用途:目視段階
  • 利用事例・用途:解析段階
  • 利用事例・用途:解釈段階
  • 利用事例・用途:意思決定段階
  • 利用事例・用途:レポーティング段階
  • 利用事例・用途:フォローアップ段階

第4章 市場予測

  • 収益予測の調査部門
  • 収益生成タイプ
  • 収益予測
  • 収益・収益シェア予測:部門別
    • 画像分析
    • マシンインテリジェンス
    • コグニティブコンピューティング
    • R&Dサービス

第5章 コスト削減

  • AIの医療画像サービス市場への影響
  • 医療画像用AIによるコスト削減機械
  • プロバイダーによる投資と医療画像用AIによるコストの削減
  • 医療画像用AIソリューションによるコストの削減
  • コスト削減のカテゴリー
  • 生産性 vs 品質
  • 医療画像産業におけるAIによるコスト削減の評価
  • 医療画像用AIの導入シナリオ

第6章 AI市場開発投資

  • 医療画像用AIへの投資
  • 世界の医療画像用AIの投資目標
  • スタートアップ企業投資:地域分析
  • スタートアップ企業環境:地域分析
  • 投資 vs 収益

第7章 競合環境

  • 医療画像用AI:技術スタック
  • 医療画像用AIのR&Dを主導する事業者
  • 医療画像分析用AIの事業者
  • 医療画像用AIにおけるGAFAM:TAFMIGA
  • 新たな医療画像用AI用途の台頭

第8章 ビジョニングシナリオ

  • マクロからミクロへのビジョニング
  • 市場影響因子
  • 10大予測

第9章 成長パイプライン

  • 成長レバー

第10章 ビジョン・戦略:成長機会

  • 成長機会:手動画像分析タスクの高速化とオートメーション
  • 成長機会:現在の画像分析業務の拡大
  • 成長機会:クラウドSaaSアプリケーションのオンデマンド推論
  • 成長機会:AI開発コミュニティへのR&Dサービス
  • 成長機会:認知的医療画像ワークフローツール
  • 成長機会:画像支援手術・放射線療法プランニング
  • 成長機会:ディープラーニングベースの画像再構築
  • 成長機会:インテリジェント医療画像装置
  • 成長機会:エッジへのAIの導入
  • 成長機会:プレシジョンヘルスへの貢献因子としてのAI

第11章 成長機会マトリクス

第12章 成長戦略・実行

第13章 付録

目次
Product Code: MD1C-50

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

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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