The global AI-based medical imaging market is expected to increase by USD 8.3 billion, at a compound annual growth rate (CAGR) of 31.6% from 2023 to 2029, according to the latest edition of the Global AI-Based Medical Imaging Market Report.

The report covers market size and growth, segmentation, regional breakdowns, competitive landscape, trends and strategies for global AI-based medical imaging market. It presents a quantitative analysis of the market to enable stakeholders to capitalize on the prevailing market opportunities. The report also identifies top segments for opportunities and strategies based on market trends and leading competitors’ approaches.

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This industry report offers market estimates and forecasts of the global market, followed by a detailed analysis of the offering, modality, deployment mode, therapeutic application, workflow, end user, and region. The global market for AI-based medical imaging can be segmented by offering: hardware, software. The software segment is estimated to account for the largest share of the global AI-based medical imaging market. AI-based medical imaging market is further segmented by modality: computed tomography (CT), magnetic resonance (MR), mammography, multi-modality imaging systems, ultrasound, x-ray, others. The CT segment held the largest revenue share in 2022. Based on deployment mode, the AI-based medical imaging market is segmented into: cloud-based, on-premises. Globally, the cloud-based segment made up the largest share of the AI-based medical imaging market. On the basis of therapeutic application, the AI-based medical imaging market also can be divided into: general imaging, specialty imaging. The specialty imaging segment was the largest contributor to the global AI-based medical imaging market in 2022. AI-based medical imaging market by workflow is categorized into: detection, diagnosis and treatment decision support, equipment maintenance, image acquisition, image analysis, predictive analysis and risk assessment, reporting and communication, triage. The AI-based medical imaging market by end user can be segmented into: diagnostic imaging centers, hospitals, other. Based on region, the AI-based medical imaging market is further categorized into: North America, Europe, Asia-Pacific, MEA (Middle East and Africa), Latin America.

The specialty imaging market is further segmented into cardiology, neurology, oncology (breast cancer, lung cancer, others), orthopedics, respiratory, others. The oncology segment held the largest share of the global AI-based medical imaging market in 2022, representing more than 93.4% of the total market.

Market Segmentation
By offering: hardware, software
By modality: computed tomography (CT), magnetic resonance (MR), mammography, multi-modality imaging systems, ultrasound, x-ray, others
By deployment mode: cloud-based, on-premises
By therapeutic application: general imaging, specialty imaging
By workflow: detection, diagnosis and treatment decision support, equipment maintenance, image acquisition, image analysis, predictive analysis and risk assessment, reporting and communication, triage
By end user: diagnostic imaging centers, hospitals, other
By region: North America, Europe, Asia-Pacific, MEA (Middle East and Africa), Latin America

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Manmayi Raval

Manmayi Raval

Research Consultant



The market research report covers the analysis of key stake holders of the global AI-based medical imaging market. Some of the leading players profiled in the report include Agfa-Gevaert N.V., Aidoc Medical Ltd., Arterys Inc., Avicenna.AI SAS, Beijing Infervision Technology Co., Ltd., Blackford Analysis Limited, Butterfly Network, Inc., CellmatiQ GmbH, dentalXrai GmbH, Digital Diagnostics Inc., EchoNous Inc., FUJIFILM Holdings Corporation, GE HealthCare Technologies Inc., Gleamer SAS, HeartVista Inc., Hologic, Inc., Hyperfine, Inc., iCAD Inc., Koninklijke Philips NV, Lunit Inc., Mediaire GmbH, Medo Inc., Merative US L.P. (formerly IBM Watson Health), Mirada Medical Ltd., Nano-X Imaging Ltd. (Zebra Medical Vision, Inc.), Nuance Communications, Inc., Nvidia Corporation, Paige AI, Inc., Perimeter Medical Imaging AI, Inc., Qure.ai Technologies Private Limited, among others. In this report, key players and their strategies are thoroughly analyzed to understand the competitive outlook of the market.
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Scope of the Report
• To analyze and forecast the market size of the global AI-based medical imaging market.
• To classify and forecast the global AI-based medical imaging market based on offering, modality, deployment mode, therapeutic application, workflow, end user, region.
• To identify drivers and challenges for the global AI-based medical imaging market.
• To examine competitive developments such as mergers & acquisitions, agreements, collaborations and partnerships, etc., in the global AI-based medical imaging market.
• To identify and analyze the profile of leading players operating in the global AI-based medical imaging market.

Why Choose This Report
• Gain a reliable outlook of the global AI-based medical imaging market forecasts from 2023 to 2029 across scenarios.
• Identify growth segments for investment.
• Stay ahead of competitors through company profiles and market data.
• The market estimate for ease of analysis across scenarios in Excel format.
• Strategy consulting and research support for three months.
• Print authentication provided for the single-user license.

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Manmayi Raval

Table of Contents

  • TABLE OF CONTENTS
  • FIGURES AND TABLES
  • PART 1. INTRODUCTION
  • · Report description
  • · Objectives of the study
  • · Market segment
  • · Years considered for the report
  • · Currency
  • · Key target audience
  • PART 2. METHODOLOGY
  • PART 3. EXECUTIVE SUMMARY
  • PART 4. MARKET OVERVIEW
  • · Introduction
  • · Drivers
  • · Restraints
  • PART 5. MARKET BREAKDOWN BY OFFERING
  • · Hardware
  • · Software
  • PART 6. MARKET BREAKDOWN BY MODALITY
  • · Computed tomography (CT)
  • · Magnetic resonance (MR)
  • · Mammography
  • · Multi-modality imaging systems
  • · Ultrasound
  • · X-ray
  • · Others
  • PART 7. MARKET BREAKDOWN BY DEPLOYMENT MODE
  • · Cloud-based
  • · On-premises
  • PART 8. MARKET BREAKDOWN BY THERAPEUTIC APPLICATION
  • · General imaging
  • · Specialty imaging
  • PART 9. MARKET BREAKDOWN BY WORKFLOW
  • · Detection
  • · Diagnosis and treatment decision support
  • · Equipment maintenance
  • · Image acquisition
  • · Image analysis
  • · Predictive analysis and risk assessment
  • · Reporting and communication
  • · Triage
  • PART 10. MARKET BREAKDOWN BY END USER
  • · Diagnostic imaging centers
  • · Hospitals
  • · Other
  • PART 11. MARKET BREAKDOWN BY REGION
  • · North America
  • · Europe
  • · Asia-Pacific
  • · MEA (Middle East and Africa)
  • · Latin America
  • PART 12. KEY COMPANIES
  • · Agfa-Gevaert N.V.
  • · Aidoc Medical Ltd.
  • · Arterys Inc.
  • · Avicenna.AI SAS
  • · Beijing Infervision Technology Co., Ltd.
  • · Blackford Analysis Limited
  • · Butterfly Network, Inc.
  • · CellmatiQ GmbH
  • · dentalXrai GmbH
  • · Digital Diagnostics Inc.
  • · EchoNous Inc.
  • · FUJIFILM Holdings Corporation
  • · GE HealthCare Technologies Inc.
  • · Gleamer SAS
  • · HeartVista Inc.
  • · Hologic, Inc.
  • · Hyperfine, Inc.
  • · iCAD Inc.
  • · Koninklijke Philips NV
  • · Lunit Inc.
  • · Mediaire GmbH
  • · Medo Inc.
  • · Merative US L.P. (formerly IBM Watson Health)
  • · Mirada Medical Ltd.
  • · Nano-X Imaging Ltd. (Zebra Medical Vision, Inc.)
  • · Nuance Communications, Inc.
  • · Nvidia Corporation
  • · Paige AI, Inc.
  • · Perimeter Medical Imaging AI, Inc.
  • · Qure.ai Technologies Private Limited
  • *REQUEST FREE SAMPLE TO GET A COMPLETE LIST OF COMPANIES
  • DISCLAIMER

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Global AI-Based Medical Imaging Market 2023-2029

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