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According to the Foreclaro Global Research, the
Global
Artificial Intelligence (AI) in Medical Imaging Market size was valued at USD
1384.7 million in 2024.
The report “Global Artificial Intelligence (AI) in Medical Imaging Market
Segmentation, By Components (Software, Hardware, Services), By Technology
(Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP),
Computer Vision), By Deployment Model (Cloud-Based Solutions, On-Premises
Solutions, Edge Computing Solutions), By Modality (X-ray, Magnetic Resonance
Imaging (MRI), Computed Tomography (CT), Ultrasound, Mammography, Positron
Emission Tomography (PET), Single Photon Emission Computed Tomography (SPECT),
Other Imaging Modalities (e.g., Fluoroscopy, Thermography), By Application
(Neurology, Cardiology, Oncology, Pulmonology, Orthopedics, Breast Imaging,
Abdominal & Pelvic Imaging, Others), By End Users (Hospitals, Diagnostic
Imaging Centers, Academic & Research Institutions, Pharmaceutical &
Biotechnology Companies, Contract Research Organizations (CROs), Outpatient
Clinics)- Industry Trends and Forecast to 2033” gives a detailed insight
into current market dynamics and provides analysis on future market growth.
The Artificial Intelligence (AI) in Medical
Imaging Market expands rapidly because the demand for fast and precise
diagnostic tools grows alongside increasing global chronic disease rates.
Computer vision and deep learning technologies in artificial intelligence
enhance image analysis accuracy and reduce diagnostic errors while helping
radiologists streamline their workflows. Healthcare systems that prioritize
operational efficiency and disease early detection consider AI-powered imaging
solutions vital for clinical decision-making across oncology neurology
cardiology and pulmonology.
The market's strong growth meets challenges
including expensive implementation and complicated regulations and worries
about protecting data privacy. AI-powered systems require expertise and
infrastructure which small healthcare facilities generally lack for successful
implementation. Provider-tech partnerships and cloud solutions present
significant healthcare opportunities as government support for digital
transformation continues to grow. Future market growth and continuous
innovation will receive a significant boost from the integration of AI with
advanced imaging technologies and electronic health records (EHR).
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Global
Artificial Intelligence (AI) in Medical Imaging Market Report Highlights
· In the AI medical imaging market,
software stands out as the primary component because it performs essential
functions like disease detection and image enhancement while interfacing
smoothly with various imaging tools and hospital systems.
· Deep Learning (DL) and Machine
Learning (ML) technologies occupy the leading edge of the technology sector
through their precise image analysis abilities while they automate routine
tasks to advance decision-making processes in domains such as radiology and
oncology.
· Multisite healthcare organizations
together with those in emerging markets quickly embrace cloud-based deployment
models to gain scalable solutions which cut costs and support remote diagnostic
teamwork.
· Diagnostic centers along with
hospitals use X-ray MRI and CT scans with AI integration as these imaging
modalities allow AI to boost image reconstruction speed while improving
segmentation and anomaly detection performance.
· Hospitals and diagnostic imaging
centers hold the largest market share among end users because they increasingly
require improved diagnostic efficiency and patient outcomes while AI solutions
assist in reducing radiologist workloads.
· North America becomes the global
market leader through major companies like GE Healthcare, IBM Watson Health and
NVIDIA. The Asia-Pacific region will experience the most rapid growth by
combining healthcare digitization efforts and government initiatives with
increasing advanced diagnostic needs in China Japan and India.
Foreclaro
Global Research has segmented the Artificial Intelligence (AI) in Medical
Imaging Market report based on product type, application, end user, and region:
Artificial
Intelligence (AI) in Medical Imaging Market, Components Outlook (Revenue - USD
Million, 2020 - 2033)
Software
Hardware
Services
Artificial
Intelligence (AI) in Medical Imaging Market, Technology Outlook (Revenue - USD
Million, 2020 - 2033)
Machine
Learning (ML)
Deep
Learning (DL)
Natural
Language Processing (NLP)
Computer
Vision
Artificial
Intelligence (AI) in Medical Imaging Market, Deployment Model Outlook (Revenue
- USD Million, 2020 - 2033)
Cloud-Based
Solutions
On-Premises
Solutions
Edge
Computing Solutions
Artificial
Intelligence (AI) in Medical Imaging Market, Modality Outlook (Revenue - USD
Million, 2020 - 2033)
X-ray
Magnetic
Resonance Imaging (MRI)
Computed
Tomography (CT)
Ultrasound
Mammography
Positron
Emission Tomography (PET)
Single
Photon Emission Computed Tomography (SPECT)
Other
Imaging Modalities (e.g., Fluoroscopy, Thermography)
Artificial
Intelligence (AI) in Medical Imaging Market, Application Outlook (Revenue - USD
Million, 2020 - 2033)
Neurology
Cardiology
Oncology
Pulmonology
Orthopedics
Breast
Imaging
Abdominal
& Pelvic Imaging
Others
Artificial
Intelligence (AI) in Medical Imaging Market, End User Outlook (Revenue - USD
Million, 2020 - 2033)
Hospitals
Diagnostic
Imaging Centers
Academic
& Research Institutions
Pharmaceutical
& Biotechnology Companies
Contract
Research Organizations (CROs)
Outpatient
Clinics
Artificial
Intelligence (AI) in Medical Imaging Market, Regional Outlook (Revenue - USD
Million, 2020 - 2033)
North
America
· United States
· Canada
· Mexico
Europe
· United Kingdom
· Germany
· France
· Spain
· Italy
· Rest of Europe
Asia
Pacific
· China
· India
· Japan
· Australia
· South Korea
· Rest of Asia Pacific
Latin
America
· Brazil
· Argentina
· Rest of Latin America
Middle East
& Africa
· Saudi Arabia
· South Africa
· Rest of MEA
Artificial Intelligence (AI) in Medical Imaging
Market Key Players
· Siemens Healthineers
· GE Healthcare
· Philips Healthcare
· IBM Watson Health
· NVIDIA Corporation
· Microsoft
· Butterfly Network
· Enlitic
· Qure.ai
· Aidoc
· Arterys
· Zebra Medical Vision
· Oxipit
· Quibim
