Global AI-Based Medical Imaging Market

AI can help in several aspects of medical imaging applications such as reducing false positives, increasing overall accuracy, saving time, and providing more detailed and accurate readings. AI can be utilized in areas like x-rays, MRI, CT scans, mammography, and other types of medical imaging. One of the applications of AI-based medical imaging involves the detection and diagnosis of tumors or lesions. The AI-based algorithms can pinpoint the location and characteristics of the affected area more accurately than the human eye, increasing the chances of early detection and better patient outcomes. AI-based medical imaging can also help in the diagnosis and management of specific diseases, such as Alzheimer’s and Parkinson’s disease. By comparing and analyzing digital images of the brain with the patient’s medical history, AI can help physicians make a more accurate diagnosis while identifying the disease at an earlier stage.
According to the latest data, the market size of the global AI-based medical imaging sector is expected to rise by USD 8.3 billion with a CAGR of 31.57% by the end of 2029.

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.

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 was the largest contributor to the global AI-based medical imaging market in 2022. 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. According to the research, the CT segment had the largest share in the global AI-based medical imaging market. Based on deployment mode, the AI-based medical imaging market is segmented into: cloud-based, on-premises. The cloud-based segment held the largest revenue share in 2022. On the basis of therapeutic application, the AI-based medical imaging market also can be divided into: general imaging, specialty imaging. Globally, the specialty imaging segment made up the largest share of the AI-based medical imaging market. 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 image analysis segment was the largest contributor to the global AI-based medical imaging market in 2022. The AI-based medical imaging market by end user can be segmented into: diagnostic imaging centers, hospitals, other. According to the research, the hospitals segment had the largest share in the global AI-based medical imaging market. 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 is estimated to account for the largest share of the global AI-based medical imaging market, accounting for 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

The report explores the recent developments and profiles of key vendors in the Global AI-Based Medical Imaging Market, including 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, Siemens Healthineers AG, Subtle Medical Inc., Synopsys Inc., TeraRecon, Inc. (EnvoyAI), United Imaging Intelligence Co., Ltd., VUNO Inc., 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.

Global AI-Based Medical Imaging Market

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Global AI-Based Medical Imaging Market - Report Scope
REPORT ATTRIBUTE

DETAILS

Base Year

2022

Forecast Year

2023-2029

CAGR (2023-2029)

31.57%

Pages

100

Key Players

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, Siemens Healthineers AG, Subtle Medical Inc., Synopsys Inc., TeraRecon Inc. (EnvoyAI), United Imaging Intelligence Co. Ltd., VUNO Inc.

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