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AI対応イメージングモダリティの世界市場 (2020-2030):12カ国の分析・予測

Global AI-Enabled Imaging Modalities Market: 12 Countries Analysis - Analysis and Forecast, 2020-2030

出版日: | 発行: BIS Research Inc. | ページ情報: 英文 208 Pages | 納期: 即日から翌営業日

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AI対応イメージングモダリティの世界市場 (2020-2030):12カ国の分析・予測
出版日: 2020年09月17日
発行: BIS Research Inc.
ページ情報: 英文 208 Pages
納期: 即日から翌営業日
  • 全表示
  • 概要
  • 図表
  • 目次
概要

世界のAI対応イメージングモダリティの市場規模は予測期間中23.32%のCAGRで推移し、2019年の2億1440万米ドルから、2030年には26億4960万米ドルの規模に成長すると予測されています。

医療インフラ開発への投資が増加しており、治療および診断支援におけるAI対応イメージングモダリティの有効性が実証されています。また、臨床上の意思決定における複雑さの増大、放射線科医の作業負荷の増大、莫大なR&D費などの要因も同市場の成長を推進しています。一方で、AIなどの先進技術の導入に対する医師の消極的姿勢や、ヘルスケアデータに関するプライバシーおよびセキュリティ上の懸念などが市場のさらなる成長の障壁となる可能性があります。

当レポートでは、世界のAI対応イメージングモダリティの市場を調査し、市場の定義と概要、新型コロナウイルス感染症 (COVID-19) およびその他の市場影響因子の分析、法規制の枠組み、市場規模の推移・予測、モダリティ・ワークフロー・用途・地域など各種区分別の内訳、競合環境、主要企業のプロファイルなどをまとめています。

第1章 製品の定義

第2章 調査範囲

第3章 調査手法

第4章 産業考察

  • 産業エコシステム
  • 規制の枠組み
  • COVID-19の影響

第5章 競合情勢

  • 主な発展と戦略
  • 市場シェア分析
  • 成長シェア分析

第6章 市場シナリオ

  • 前提因子・制約
  • 市場規模・予測
  • 潜在的機会
  • 市場力学
    • 影響分析
    • 市場成長推進因子
    • 市場成長抑制因子
  • 主要ベンダー

第7章 市場分析・予測:モダリティ別

  • 概要
  • CT
  • MR
  • 超音波
  • X線
  • PET
  • その他

第8章 市場分析・予測:ワークフロー別

  • 概要
  • 画像取得
  • 画像分析
  • 検出
  • 診断・治療の意思決定支援
  • 予測分析・リスク評価
  • トリアージ
  • レポーティング・コミュニケーション

第9章 市場分析・予測:用途別

  • 概要
  • 心臓病
    • 乳癌
    • 肺癌
    • その他
  • 神経系
  • 呼吸器系
  • その他

第10章 市場分析・予測:地域別

  • 北米
  • 欧州
  • アジア太平洋
  • その他の地域

第11章 企業プロファイル

  • Agfa-Gevaert Group
  • Butterfly Network, Inc.
  • Canon, Inc.
  • Exo
  • Fujifilm Holdings Corporation
  • General Electric Company
  • Hyperfine
  • Hologic, Inc.
  • Konica Minolta, Inc.
  • Koninklije Philips N.V.
  • Nanox
  • Siemens Healthineers AG
  • Tissue Differentiation Intelligence, LLC (TDi)
  • United Imaging Healthcare
  • Yor Labs, Inc.
図表

List of Tables

  • Table 1: Impact Analysis of Market Drivers
  • Table 2: Impact Analysis of Market Restraints
  • Table 6.1: Impact Analysis of Market Drivers
  • Table 6.2: Impact Analysis of Market Restraints

List of Figures

  • Figure 1: Applications of AI in Healthcare
  • Figure 2: Share of Key Developments and Strategies, February 2016 - July 2020
  • Figure 3: Imaging Modality Providers Leading Global AI-Enabled Imaging Modalities Market, 2020
  • Figure 4: Global AI-Enabled Imaging Modalities Market, 2019-2030
  • Figure 5: Global AI-Enabled Imaging Modalities Market Share (by Workflow), 2019 and 2030
  • Figure 6: Global AI-Enabled Imaging Modalities Market Share (by Therapeutic Application), 2019 and 2030
  • Figure 7: Global AI-Enabled Imaging Modalities Market Share (by Modality), 2019 and 2030
  • Figure 8: Global AI-Enabled Imaging Modalities Market Regional Snapshot
  • Figure 2.1: Global AI-Enabled Imaging Modalities Market Segmentation
  • Figure 3.1: Research Methodology
  • Figure 3.2: Primary Research Methodology
  • Figure 3.3: Secondary Research
  • Figure 3.4: Data Triangulation
  • Figure 3.5: Assumptions and Limitations
  • Figure 4.1: Industry Ecosystem
  • Figure 5.1: Share of Key Developments and Strategies, February 2016-July 2020
  • Figure 5.2: Share of New Offerings, February 2016-July 2020
  • Figure 5.3: Share of Partnerships, Alliances & Business Expansions, February 2016- July 2020
  • Figure 5.4: Share of Regulatory & Legal Approvals, February 2016-July 2020
  • Figure 5.5: Share of Funding Activities, February 2016-July 2020
  • Figure 5.6: Share of Mergers & Acquisition, February 2016-July 2020
  • Figure 5.7: Market Share Analysis: Global AI-Enabled Imaging Modalities Market (Imaging Modality Providers), 2020
  • Figure 5.8: Market Share Analysis: Global AI-Enabled Imaging Modalities Market (by Imaging Modality Provider), 2019
  • Figure 5.9: Growth Share Matrix: Global AI-Enabled Imaging Modalities Market (by Modality), 2019-2030
  • Figure 5.10: Growth Share Matrix: Global AI-Enabled Imaging Modalities Market (by Workflow), 2019-2030
  • Figure 5.11: Growth Share Matrix: Global AI-Enabled Imaging Modalities Market (by Therapeutic Application), 2019-2030
  • Figure 6.1: Global AI-Enabled Imaging Modalities Market, 2019-2030
  • Figure 7.1: Global AI-Enabled Imaging Modalities Market (by Modality), 2019-2030
  • Figure 7.2: Global AI-Enabled Imaging Modalities Market (by CT), 2019-2030
  • Figure 7.3: Global AI-Enabled Imaging Modalities Market (by Magnetic Resonance), 2019-2030
  • Figure 7.4: Global AI-Enabled Imaging Modalities Market (by Ultrasound), 2019-2030
  • Figure 7.5: Global AI-Enabled Imaging Modalities Market (by X-Ray), 2019-2030
  • Figure 7.6: Global AI-Enabled Imaging Modalities Market (by Positron Emission Tomography (PET)), 2019-2030
  • Figure 7.7: Global AI-Enabled Imaging Modalities Market (by Other Modalities), 2019-2030
  • Figure 8.1: Global AI-Enabled Imaging Modalities Market (Image Acquisition), 2019-2030
  • Figure 8.2: Global AI-Enabled Imaging Modalities Market (Image Analysis), 2019-2030
  • Figure 8.3: Global AI-Enabled Imaging Modalities Market (Detection), 2019-2030
  • Figure 8.4: Global AI-Enabled Imaging Modalities Market (Diagnosis and Treatment Decision Support), 2019-2030
  • Figure 8.5: Global AI-Enabled Imaging Modalities Market (Predictive Analysis and Risk Assessment), 2019-2030
  • Figure 8.6: Global AI-Enabled Imaging Modalities Market (Triage), 2019-2030
  • Figure 8.7: Global AI-Enabled Imaging Modalities Market (Reporting and Communication), 2019-2030
  • Figure 9.1: Global AI-Enabled Imaging Modalities Market (by Therapeutic Application), 2019 and 2030
  • Figure 9.2: Global AI-Enabled Imaging Modalities Market (Cardiology), 2019-2030
  • Figure 9.3: Applications of AI in Cancer Imaging
  • Figure 9.4: Global AI-Enabled Imaging Modalities Market (Oncology), 2019-2030
  • Figure 9.5: Global AI-Enabled Imaging Modalities Market (Neurology), 2019-2030
  • Figure 9.6: Global AI-Enabled Imaging Modalities Market (Pulmonology), 2019-2030
  • Figure 9.7: Global AI-Enabled Imaging Modalities Market (Others), 2019-2030
  • Figure 10.1: Global AI-Enabled Imaging Modalities Market Scenario, 2019 and 2030
  • Figure 10.2: North America AI-Enabled Imaging Modalities Market, 2019-2030
  • Figure 10.3: North America AI-Enabled Imaging Modalities Market: Market Dynamics
  • Figure 10.4: North America AI-Enabled Imaging Modalities Market (by Country), 2019-2030
  • Figure 10.5: U.S. AI-Enabled Imaging Modalities Market, 2019-2030
  • Figure 10.6: Canada AI-Enabled Imaging Modalities Market, 2019-2030
  • Figure 10.7: Europe AI-Enabled Imaging Modalities Market, 2019-2030
  • Figure 10.8: Europe AI-Enabled Imaging Modalities Market: Market Dynamics
  • Figure 10.9: Europe AI-Enabled Imaging Modalities Market (by Country), 2019-2030
  • Figure 10.10: U.K. AI-Enabled Imaging Modalities Market, 2019-2030
  • Figure 10.11: Germany AI-Enabled Imaging Modalities Market, 2019-2030
  • Figure 10.12: France AI-Enabled Imaging Modalities Market, 2019-2030
  • Figure 10.13: Spain AI-Enabled Imaging Modalities Market, 2019-2030
  • Figure 10.14: Italy AI-Enabled Imaging Modalities Market, 2019-2030
  • Figure 10.15: Rest-of-Europe AI-Enabled Imaging Modalities Market, 2019-2030
  • Figure 10.16: Asia-Pacific AI-Enabled Imaging Modalities Market, 2019-2030
  • Figure 10.17: Asia-Pacific AI-Enabled Imaging Modalities Market: Market Dynamics
  • Figure 10.18: Asia-Pacific AI-Enabled Imaging Modalities Market (by Country), 2019-2030
  • Figure 10.19: China AI-Enabled Imaging Modalities Market, 2019-2030
  • Figure 10.20: Japan AI-Enabled Imaging Modalities Market, 2019-2030
  • Figure 10.21: Australia and New Zealand AI-Enabled Imaging Modalities Market, 2019-2030
  • Figure 10.22: South Korea AI-Enabled Imaging Modalities Market, 2019-2030
  • Figure 10.23: Singapore AI-Enabled Imaging Modalities Market, 2019-2030
  • Figure 10.24: Rest-of-Asia-Pacific AI-Enabled Imaging Modalities Market, 2019-2030
  • Figure 10.25: Rest-of-the-World AI-Enabled Imaging Modalities Market, 2019-2030
  • Figure 11.1: Shares of Key Company Profiles
  • Figure 11.2: Agfa-Gevaert Group: Product Offerings for the Global AI-Enabled Imaging Modalities Market
  • Figure 11.3: Agfa-Gevaert Group: Overall Financials ($Billion), 2017-2019
  • Figure 11.4: Agfa-Gevaert Group: Net Revenue (by Business Segment), $Billion, 2017-2019
  • Figure 11.5: Agfa-Gevaert Group: Revenue (by Region), $Billion, 2017-2019
  • Figure 11.6: Agfa-Gevaert Group: R&D Expenditure, 2017-2019
  • Figure 11.7: Butterfly Network, Inc.: Product Offerings for the Global AI-Enabled Imaging Modalities Market
  • Figure 11.8: Canon, Inc.: Product Offerings for the AI-Enabled Imaging Modalities Market
  • Figure 11.9: Canon, Inc.: Overall Financials ($Billion), 2017-2019
  • Figure 11.10: Canon, Inc.: Net Revenue (by Business Segment), $Billion, 2017-2019
  • Figure 11.11: Canon, Inc.: Revenue (by Region), $Billion, 2017-2019
  • Figure 11.12: Canon, Inc.: R&D Expenditure, 2017-2019
  • Figure 11.13: Exo: Product Offerings for the Global AI-Enabled Imaging Modalities Market
  • Figure 11.14: Fujifilm Holdings Corporation: Product Offerings for the Global AI-Enabled Imaging Modalities Market
  • Figure 11.15: Fujifilm Holdings Corporation: Overall Financials, 2017-2019
  • Figure 11.16: Fujifilm Holdings Corporation Net Revenue (by Business Segment), 2017-2019
  • Figure 11.17: Fujifilm Holdings Corporation: Net Revenue (by Region), 2016-2018
  • Figure 11.18: Fujifilm Holdings Corporation: R&D Expense, 2016-2018
  • Figure 11.19: General Electric Company: Product Offerings for the Global AI-Enabled Imaging Modalities Market
  • Figure 11.20: General Electric Company: Overall Financials, 2017-2019
  • Figure 11.21: General Electric Company Net Revenue (by Business Segment), 2017-2019
  • Figure 11.22: General Electric Company: Net Revenue (by Region), 2017-2019
  • Figure 11.23: General Electric Company: R&D Expenditure, 2017-2019
  • Figure 11.24: Hyperfine: Product Offerings for the AI-Enabled Imaging Modalities Market
  • Figure 11.25: Hologic, Inc.: Product Offerings for the AI-Enabled Imaging Modalities Market
  • Figure 11.26: Hologic, Inc.: Overall Financials ($Billion), 2017-2019
  • Figure 11.27: Hologic, Inc.: Net Revenue (by Business Segment), $Billion, 2017-2019
  • Figure 11.28: Hologic, Inc.: Revenue (by Region), $Billion, 2017-2019
  • Figure 11.29: Hologic, Inc.: R&D Expenditure, 2017-2019
  • Figure 11.30: Konica Minolta, Inc.: Product Offerings for the Global AI-Enabled Imaging Modalities Market
  • Figure 11.31: Konica Minolta, Inc.: Overall Financials ($Billion), 2017-2019
  • Figure 11.32: Konica Minolta, Inc.: Net Revenue (by Business Segment), $Billion, 2017-2019
  • Figure 11.33: Konica Minolta, Inc.: Revenue (by Region), $Billion, 2017-2019
  • Figure 11.34: Konica Minolta, Inc.: R&D Expenditure, 2017-2019
  • Figure 11.35: Koninklijke Philips N.V.: Product Offerings for the Global AI-Enabled Imaging Modalities Market
  • Figure 11.36: Koninklijke Philips N.V.: Overall Financials, 2017-2019
  • Figure 11.37: Koninklijke Philips N.V. Net Revenue (by Business Segment), 2017-2019
  • Figure 11.38: Koninklijke Philips N.V.: Net Revenue (by Region), 2017-2019
  • Figure 11.39: Koninklijke Philips N.V.: R&D Expenditure, 2017-2019
  • Figure 11.40: Nanox: Product Offerings for the Global AI-Enabled Imaging Modalities Market
  • Figure 11.41: Siemens Healthineers AG: Product Offerings for the Global AI-Enabled Imaging Modalities Market
  • Figure 11.42: Siemens Healthineers AG: Overall Financials, 2017-2019
  • Figure 11.43: Siemens Healthineers AG Net Revenue (by Business Segment), 2017-2019
  • Figure 11.44: Siemens Healthineers AG: Net Revenue (by Region), 2017-2019
  • Figure 11.45: Siemens Healthineers AG: R&D Expenditure, 2017-2019
  • Figure 11.46: Tissue Differentiation Intelligence, LLC: Product Offerings for the Global AI-Enabled Imaging Modalities Market
  • Figure 11.47: United Imaging Healthcare: Product Offerings for the Global AI-Enabled Imaging Modalities Market
  • Figure 11.48: Yor Labs, Inc.: Product Offerings for the Global AI-Enabled Imaging Modalities Market
目次
Product Code: BHR0904SA

"Global AI-Enabled Imaging Modalities Market to Reach $2.64 Billion by 2030."

Market Report Coverage - Global AI-Enabled Imaging Modalities

Market Segmentation

  • Therapeutic Application - Cardiology, Oncology (Breast, Lung, Other Cancer Types), Neurology, Pulmonology, and Others
  • Modality- Computed Tomography (CT), MRI, X-Ray, Ultrasound, Positron Emission Tomography (PET), Other Modalities
  • Workflow- Image Acquisition, Image Analysis, Detection, Diagnosis, and Treatment Decision Support, Predictive Analysis & Risk Assessment, Triage, Reporting and Communication

Regional Segmentation

  • North America- U.S. and Canada
  • Europe- Germany, U.K, Italy, Spain, France, and Rest-of-Europe
  • Asia-Pacific- Japan, China, South Korea, Australia and New Zealand, Singapore and Rest-of-Asia-Pacific
  • Rest-of-the-World

Growth Drivers

  • Need for Personalized and Standardized Patient-centric Care
  • Accurate and Speed Diagnosis
  • Increasing Radiologist Workload
  • Evolving Hardware Technologies and Data Quality Acquired

Market Challenges

  • Legal Implications of AI systems
  • Stringent Regulatory Requirements
  • Rise in Medical Imaging Expenses
  • Data Security and Privacy Issues

Market Opportunities

  • Standardization of Radiology Practice
  • Voluminous Medical Imaging Data
  • Decline in Imaging Reimbursement
  • Increasing Participation

Key Companies Profiled

Koninklijke Philips N.V., Siemens Healthineers AG., General Electric Company, Canon, Inc., Agfa, Hologic, Fujifilm, and Konica Minolta, Inc., United Health Imaging, Exo, Yorlabs, Nanox, TDI, Butterfly Network, Inc., and Hyperfine

Key Questions Answered in this Report:

  • What are the various AI-enabled imaging modalities and systems available in the market?
  • What is the current market size and future potential of these products?
  • What are the major market drivers, challenges, and opportunities in the global AI-enabled imaging modalities market?
  • What are the guidelines implemented by different government bodies to regulate the approval of AI-enabled imaging modalities?
  • What are the key technological developments on which the current industry leaders are spending a major share of their research and development (R&D) investments?
  • Who are the leading players holding dominating shares in the global AI-enabled imaging modalities market, currently?
  • What are the key strategies incorporated by the players of global AI-enabled imaging modalities market, to sustain the competition and retain their supremacy?
  • What is the current revenue contribution of different modality types and how are these contributions expected to evolve in the forecast period?
  • What is the current revenue contribution of different therapeutic applications and how are these contributions expected to be evolved in the forecast period?
  • What is the current demand contributions of different workflow types and how are these contributions expected to evolve in the forecast period?
  • Which countries contribute to the major share of current demand and which countries hold significant scope for expansion for business activities, by players of the global AI-enabled imaging modalities market?

Overview on the Global AI-Enabled Imaging Modalities Market

Global AI-enabled imaging modalities market is currently witnessing a significant change in the market landscape. There is rising investment in development of healthcare infrastructure, increasing evidences for efficient and promising results in treatment and diagnosis assistance. Thus, this is leading to potential growth opportunities for the AI-enabled imaging modalities market. Moreover, there is an extensive entry of emerging players developing AI powered imaging systems, and software companies into the healthcare space. All these predominant factors have led to a significant rise in sales of AI-based imaging modality systems across the globe.

Global AI-Enabled Imaging Modalities Market Forecast, 2020-2030

The global AI-enabled imaging modalities market was valued at $214.4 million in 2019 and is anticipated to reach $2,649.6 million by 2030, growing at a CAGR of 23.32%, during the forecast period 2020-2030. The increasing complexities in clinical decision making, rising radiologist workload, and huge R&D investments are the major factors fueling the market growth. In addition to these factors, there are significant challenges and restraints, which are restricting the market growth. These challenges include the physicians' reluctance toward the adoption of advanced technologies such as AI and the privacy and security concerns related to healthcare data. Hence, it is anticipated that these trends will have a significant impact on healthcare service robots market in the next five years, and the market will grow multifold.

Competitive Landscape

The global AI-enabled imaging modalities market consists of numerous large-scale as well as small-scale manufacturers and vendors. Presently, with the increasing adoption of AI in healthcare, the manufacturers in the market have ample number of opportunities to expand their offerings and to establish a strong foothold in the market.

During February 2016-July 2020, the market witnessed approximately 40 new offerings, 32 partnerships, alliances & business expansions, 27 regulatory & legal approvals, 13 funding activities, six mergers & acquisition, and one procurement & sales.

Most of the manufacturers in the market are incorporating collaborations and partnerships with not only other companies but also the university and research institutions as the key strategies to develop novel AI-embedded medical imaging systems and attain a strong financial position in the market.

The key players contributing to the global AI-enabled Imaging modalities market are Koninklijke Philips N.V., Siemens Healthineers AG., General Electric Company, Canon, Inc., Butterfly Network, Inc., Hyperfine, United Imaging Healthcare, Exo, Yorlabs, Agfa-Gevaert Group, Hologic, Inc, Fujifilm, Konica Minolta, Inc., Nanox, and Tissue Differentiation Imaging (TDI), among others.

Table of Contents

1 Product Definition

2 Research Scope

  • 2.1 Scope of Work

3 Research Methodology

  • 3.1 Primary Research
  • 3.2 Secondary Research
  • 3.3 Data Sources and Categorization
  • 3.4 Criteria for Company Profiles
  • 3.5 Market Estimation and Forecast Methodology
  • 3.6 Data Triangulation
  • 3.7 Assumptions and Limitations

4 Industry Insights

  • 4.1 Industry Ecosystem
  • 4.2 Regulatory Framework
    • 4.2.1 North America
      • 4.2.1.1 Regulatory Requirements in U.S.
      • 4.2.1.2 Regulatory Requirements in Canada
    • 4.2.2 Europe
    • 4.2.3 Other Countries
  • 4.3 Impact of COVID-19
    • 4.3.1 Impact on Clinical Settings and Clinical Decision-Making
    • 4.3.2 Impact on AI-Based Imaging Modality Manufacturers
    • 4.3.3 Conclusion

5 Competitive Landscape

  • 5.1 Key Developments and Strategies
    • 5.1.1 New Offerings
    • 5.1.2 Partnerships, Alliances, and Business Expansions
    • 5.1.3 Regulatory and Legal Approvals
    • 5.1.4 Funding Activities
    • 5.1.5 Mergers and Acquisitions
    • 5.1.6 Procurement and Sales
  • 5.2 Market Share Analysis
    • 5.2.1 Market Share Analysis: Global AI-Enabled Imaging Modalities Market (Imaging Modality Providers)
  • 5.3 Growth Share Analysis
    • 5.3.1 Growth Share Matrix (by Modality)
    • 5.3.2 Growth Share Matrix (by Workflow)
    • 5.3.3 Growth Share Matrix (by Therapeutic Application)

6 Global AI-Enabled Imaging Modalities Market Scenario

  • 6.1 Assumptions and Limitations
  • 6.2 Global AI-Enabled Imaging Modalities Market Size and Forecast
  • 6.3 Potential Opportunities - AI-Enabled Imaging Modalities
    • 6.3.1 Standardization of Radiology Practice
    • 6.3.2 Voluminous Medical Imaging Data Requiring Analysis
    • 6.3.3 Decline in Imaging Reimbursement Forcing Facilities for Accelerated and Accurate Performance
    • 6.3.4 Increasing Participation
  • 6.4 Market Dynamics
    • 6.4.1 Impact Analysis
      • 6.4.1.1 Impact Analysis of Market Drivers and Market Restraints, 2019-2030
    • 6.4.2 Market Drivers
      • 6.4.2.1 Need for Personalized and Standardized Patient-Centric Care
      • 6.4.2.2 Accurate and Rapid Diagnosis Enabled by Artificial Intelligence
      • 6.4.2.3 Increasing Workload of Radiologists
      • 6.4.2.4 Evolving Hardware Technologies and Data Quality
    • 6.4.3 Market Restraints
      • 6.4.3.1 Lag in Regulatory Approvals
      • 6.4.3.2 Legal Implications of AI Systems
      • 6.4.3.3 Rise in Medical Imaging Expenses
      • 6.4.3.4 Data Security and Privacy Issues
      • 6.4.3.5 Lack of Trained Staff
  • 6.5 Key Vendors

7 Global AI-Enabled Imaging Modalities Market (by Modality)

  • 7.1 Overview
  • 7.2 Computed Tomography (CT)
  • 7.3 Magnetic Resonance (MR)
  • 7.4 Ultrasound
  • 7.5 X-Ray
  • 7.6 Positron Emission Tomography (PET)
  • 7.7 Other Modalities

8 Global AI-Enabled Imaging Modalities Market (by Workflow), 2019-2030

  • 8.1 Overview
  • 8.2 Image Acquisition
  • 8.3 Image Analysis
  • 8.4 Detection
  • 8.5 Diagnosis and Treatment Decision Support
  • 8.6 Predictive Analysis and Risk Assessment
  • 8.7 Triage
  • 8.8 Reporting and Communication

9 Global AI-Enabled Imaging Modalities Market (by Therapeutic Application)

  • 9.1 Overview
  • 9.2 Cardiology
  • 9.3 Oncology
    • 9.3.1 Breast Cancer
    • 9.3.2 Lung Cancer
    • 9.3.3 Other cancer types
  • 9.4 Neurology
  • 9.5 Pulmonology
  • 9.6 Others

10 Global AI-Enabled Imaging Modalities Market (by Region)

  • 10.1 Overview
  • 10.2 North America
    • 10.2.1 Market Footprint: North America AI-Enabled Imaging Modalities Market
    • 10.2.2 North America AI-Enabled Imaging Modalities Market (by Country)
      • 10.2.2.1 U.S.
      • 10.2.2.2 Canada
  • 10.3 Europe
    • 10.3.1 Market Footprint: Europe AI-Enabled Imaging Modalities Market
    • 10.3.2 Europe AI-Enabled Imaging Modalities Market (by Country)
      • 10.3.2.1 U.K.
      • 10.3.2.2 Germany
      • 10.3.2.3 France
      • 10.3.2.4 Spain
      • 10.3.2.5 Italy
      • 10.3.2.6 Rest-of-Europe
  • 10.4 Asia-Pacific
    • 10.4.1 Market Footprint: Asia-Pacific AI-Enabled Imaging Modalities Market
    • 10.4.2 Asia-Pacific AI-Enabled Imaging Modalities Market (by Country)
      • 10.4.2.1 China
      • 10.4.2.2 Japan
      • 10.4.2.3 Australia and New Zealand
      • 10.4.2.4 South Korea
      • 10.4.2.5 Singapore
      • 10.4.2.6 Rest-of-Asia-Pacific
  • 10.5 Rest-of-the-World (RoW)
    • 10.5.1 Market Footprint: Rest-of-the-World AI-Enabled Imaging Modalities Market

11 Company Profiles

  • 11.1 Overview
  • 11.2 Agfa-Gevaert Group
    • 11.2.1 Company Overview
    • 11.2.2 Role of Agfa-Gevaert Group in the Global AI-Enabled Imaging Modalities Market
    • 11.2.3 Financials
    • 11.2.4 Agfa-Gevaert Group: SWOT Analysis
  • 11.3 Butterfly Network, Inc.
    • 11.3.1 Company Overview
    • 11.3.2 Role of Butterfly Network, Inc. in the Global AI-Enabled Imaging Modalities Market
    • 11.3.3 Butterfly Network, Inc.: SWOT Analysis
  • 11.4 Canon, Inc.
    • 11.4.1 Company Overview
    • 11.4.2 Role of Canon, Inc. in the Global AI-Enabled Imaging Modalities Market
    • 11.4.3 Financials
    • 11.4.4 Canon, Inc.: SWOT Analysis
  • 11.5 Exo
    • 11.5.1 Company Overview
    • 11.5.2 Role of Exo in the Global AI-Enabled Imaging Modalities Market
    • 11.5.3 Exo: SWOT Analysis
  • 11.6 Fujifilm Holdings Corporation
    • 11.6.1 Company Overview
    • 11.6.2 Role of Fujifilm Holdings Corporation in the Global AI-Enabled Imaging Modalities Market
    • 11.6.3 Financials
      • 11.6.3.1 Key Insights About the Financial Health of the Company
    • 11.6.4 Fujifilm Holdings Corporation: SWOT Analysis
  • 11.7 General Electric Company
    • 11.7.1 Company Overview
    • 11.7.2 Role of General Electric Company in the Global AI-Enabled Imaging Modalities Market
    • 11.7.3 Financials
      • 11.7.3.1 Key Insights About the Financial Health of the Company
    • 11.7.4 General Electric Company: SWOT Analysis
  • 11.8 Hyperfine
    • 11.8.1 Company Overview
    • 11.8.2 Role of Hyperfine in the Global AI-Enabled Imaging Modalities Market
    • 11.8.3 Hyperfine: SWOT Analysis
  • 11.9 Hologic, Inc.
    • 11.9.1 Company Overview
    • 11.9.2 Role of Hologic, Inc. in the Global AI-Enabled Imaging Modalities Market
    • 11.9.3 Financials
    • 11.9.4 Hologic, Inc.: SWOT Analysis
  • 11.10 Konica Minolta, Inc.
    • 11.10.1 Company Overview
    • 11.10.2 Role of Konica Minolta, Inc. in the Global AI-Enabled Imaging Modalities Market
    • 11.10.3 Financials
    • 11.10.4 Konica Minolta, Inc.: SWOT Analysis
  • 11.11 Koninklije Philips N.V.
    • 11.11.1 Company Overview
    • 11.11.2 Role of Koninklijke Philips N.V. in the Global AI-Enabled Imaging Modalities Market
    • 11.11.3 Financials
      • 11.11.3.1 Key Insights About the Financial Health of the Company
    • 11.11.4 Koninklijke Philips N.V.: SWOT Analysis
  • 11.12 Nanox
    • 11.12.1 Company Overview
    • 11.12.2 Role of Nanox in the Global AI-Enabled Imaging Modalities Market
    • 11.12.3 SWOT Analysis: Nanox
  • 11.13 Siemens Healthineers AG
    • 11.13.1 Company Overview
    • 11.13.2 Role of Siemens Healthineers AG in the Global AI-Enabled Imaging Modalities Market
    • 11.13.3 Financials
      • 11.13.3.1 Key Insights About the Financial Health of the Company
    • 11.13.4 Siemens Healthineers AG: SWOT Analysis
  • 11.14 Tissue Differentiation Intelligence, LLC (TDi)
    • 11.14.1 Company Overview
    • 11.14.2 Role of Tissue Differentiation Intelligence, LLC (TDi) in the Global AI-Enabled Imaging Modalities Market
    • 11.14.3 SWOT Analysis: Tissue Differentiation Intelligence, LLC (TDi)
  • 11.15 United Imaging Healthcare
    • 11.15.1 Company Overview
    • 11.15.2 Role of United Imaging Healthcare in the Global AI-Enabled Imaging Modalities Market
    • 11.15.3 United Imaging Healthcare: SWOT Analysis
  • 11.16 Yor Labs, Inc.
    • 11.16.1 Company Overview
    • 11.16.2 Role of Yor Labs, Inc. in the Global AI-Enabled Imaging Modalities Market
    • 11.16.3 Yor Labs, Inc.: SWOT Analysis
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