Global AI Medical Imaging Market Growth (Status and Outlook) 2026-2032
Description
The global AI Medical Imaging market size is predicted to grow from US$ 1751 million in 2025 to US$ 11782 million in 2032; it is expected to grow at a CAGR of 31.4% from 2026 to 2032.
AI Medical Imaging refers to the application of artificial intelligence—primarily deep learning and computer vision—across the full lifecycle of medical imaging, including image acquisition, reconstruction, enhancement, interpretation, and reporting. These solutions analyze data from modalities such as X-ray, CT, MRI, ultrasound, mammography, nuclear medicine, and digital pathology to assist clinicians in detecting abnormalities, quantifying anatomical or functional changes, prioritizing urgent cases, and improving workflow efficiency. Most products are delivered as regulated Software as a Medical Device (SaMD) or embedded directly into imaging equipment by OEMs, operating alongside radiologists rather than replacing them. By reducing diagnostic variability, lowering reading time, and enabling earlier disease detection, AI medical imaging has become a critical component of modern radiology and enterprise imaging strategies.
AI medical imaging can be classified by modality (X-ray, CT, MRI, ultrasound, PET, pathology), by function (detection, segmentation, quantification, reconstruction, triage), by deployment (on-premise, cloud SaaS, edge-embedded), by workflow integration point (scanner console, PACS/RIS, enterprise imaging, reporting), and by regulatory/commercial model (standalone SaMD, bundled with hardware, clinical decision support).
Upstream suppliers include imaging equipment manufacturers, detector and sensor providers, GPU and AI accelerator vendors, and cloud infrastructure platforms, as well as hospitals contributing annotated imaging datasets. Midstream players are AI software developers and platform providers responsible for algorithm training, validation, regulatory clearance, and system integration. Downstream customers consist of hospitals, diagnostic imaging centers, teleradiology providers, and integrated delivery networks, typically procuring solutions through enterprise IT budgets or bundled OEM contracts.
Key cost drivers are data acquisition and labeling, model development, regulatory approval, and ongoing software updates. Due to software-centric economics, gross margins commonly exceed 65–75%. Commercially, transactions are dominated by subscription SaaS, per-study pricing, or multi-year enterprise licenses, often bundled with imaging hardware or PACS upgrades. Market trends include rapid FDA/CE approvals, consolidation through M&A, increasing AI platform marketplaces, deeper OEM integration, and expanding adoption in emergency, oncology, and population-scale screening workflows.
LPI (LP Information)' newest research report, the “AI Medical Imaging Industry Forecast” looks at past sales and reviews total world AI Medical Imaging sales in 2025, providing a comprehensive analysis by region and market sector of projected AI Medical Imaging sales for 2026 through 2032. With AI Medical Imaging sales broken down by region, market sector and sub-sector, this report provides a detailed analysis in US$ millions of the world AI Medical Imaging industry.
This Insight Report provides a comprehensive analysis of the global AI Medical Imaging landscape and highlights key trends related to product segmentation, company formation, revenue, and market share, latest development, and M&A activity. This report also analyses the strategies of leading global companies with a focus on AI Medical Imaging portfolios and capabilities, market entry strategies, market positions, and geographic footprints, to better understand these firms’ unique position in an accelerating global AI Medical Imaging market.
This Insight Report evaluates the key market trends, drivers, and affecting factors shaping the global outlook for AI Medical Imaging and breaks down the forecast by Type, by Application, geography, and market size to highlight emerging pockets of opportunity. With a transparent methodology based on hundreds of bottom-up qualitative and quantitative market inputs, this study forecast offers a highly nuanced view of the current state and future trajectory in the global AI Medical Imaging.
This report presents a comprehensive overview, market shares, and growth opportunities of AI Medical Imaging market by product type, application, key players and key regions and countries.
Segmentation by Type:
Hardware
Software
Segmentation by Imaging Modality:
X-ray / CXR
CT
MRI
Ultrasound
Mammography / DBT
Others
Segmentation by Regulatory & Commercial Type:
SaMD
SiP/SiMD
Others
Segmentation by Application:
Public Hospital
Private Hospital
This report also splits the market by region:
Americas
United States
Canada
Mexico
Brazil
APAC
China
Japan
Korea
Southeast Asia
India
Australia
Europe
Germany
France
UK
Italy
Russia
Middle East & Africa
Egypt
South Africa
Israel
Turkey
GCC Countries
The below companies that are profiled have been selected based on inputs gathered from primary experts and analyzing the company's coverage, product portfolio, its market penetration.
Philips
Merative
Butterfly Network
Tempus
Nanox
Microsoft
Viz.ai
Lunit
DiA Imaging
RetinAi
RapidAI
Canon Medical
KONFOONG BIOTECH INTERNATIONAL CO., LTD（KFBIO）
GE
Aidoc
Siemens
Enlitic
BioMind
ANNALISE-AI PTY LTD
icometrix
Please note: The report will take approximately 2 business days to prepare and deliver.
AI Medical Imaging refers to the application of artificial intelligence—primarily deep learning and computer vision—across the full lifecycle of medical imaging, including image acquisition, reconstruction, enhancement, interpretation, and reporting. These solutions analyze data from modalities such as X-ray, CT, MRI, ultrasound, mammography, nuclear medicine, and digital pathology to assist clinicians in detecting abnormalities, quantifying anatomical or functional changes, prioritizing urgent cases, and improving workflow efficiency. Most products are delivered as regulated Software as a Medical Device (SaMD) or embedded directly into imaging equipment by OEMs, operating alongside radiologists rather than replacing them. By reducing diagnostic variability, lowering reading time, and enabling earlier disease detection, AI medical imaging has become a critical component of modern radiology and enterprise imaging strategies.
AI medical imaging can be classified by modality (X-ray, CT, MRI, ultrasound, PET, pathology), by function (detection, segmentation, quantification, reconstruction, triage), by deployment (on-premise, cloud SaaS, edge-embedded), by workflow integration point (scanner console, PACS/RIS, enterprise imaging, reporting), and by regulatory/commercial model (standalone SaMD, bundled with hardware, clinical decision support).
Upstream suppliers include imaging equipment manufacturers, detector and sensor providers, GPU and AI accelerator vendors, and cloud infrastructure platforms, as well as hospitals contributing annotated imaging datasets. Midstream players are AI software developers and platform providers responsible for algorithm training, validation, regulatory clearance, and system integration. Downstream customers consist of hospitals, diagnostic imaging centers, teleradiology providers, and integrated delivery networks, typically procuring solutions through enterprise IT budgets or bundled OEM contracts.
Key cost drivers are data acquisition and labeling, model development, regulatory approval, and ongoing software updates. Due to software-centric economics, gross margins commonly exceed 65–75%. Commercially, transactions are dominated by subscription SaaS, per-study pricing, or multi-year enterprise licenses, often bundled with imaging hardware or PACS upgrades. Market trends include rapid FDA/CE approvals, consolidation through M&A, increasing AI platform marketplaces, deeper OEM integration, and expanding adoption in emergency, oncology, and population-scale screening workflows.
LPI (LP Information)' newest research report, the “AI Medical Imaging Industry Forecast” looks at past sales and reviews total world AI Medical Imaging sales in 2025, providing a comprehensive analysis by region and market sector of projected AI Medical Imaging sales for 2026 through 2032. With AI Medical Imaging sales broken down by region, market sector and sub-sector, this report provides a detailed analysis in US$ millions of the world AI Medical Imaging industry.
This Insight Report provides a comprehensive analysis of the global AI Medical Imaging landscape and highlights key trends related to product segmentation, company formation, revenue, and market share, latest development, and M&A activity. This report also analyses the strategies of leading global companies with a focus on AI Medical Imaging portfolios and capabilities, market entry strategies, market positions, and geographic footprints, to better understand these firms’ unique position in an accelerating global AI Medical Imaging market.
This Insight Report evaluates the key market trends, drivers, and affecting factors shaping the global outlook for AI Medical Imaging and breaks down the forecast by Type, by Application, geography, and market size to highlight emerging pockets of opportunity. With a transparent methodology based on hundreds of bottom-up qualitative and quantitative market inputs, this study forecast offers a highly nuanced view of the current state and future trajectory in the global AI Medical Imaging.
This report presents a comprehensive overview, market shares, and growth opportunities of AI Medical Imaging market by product type, application, key players and key regions and countries.
Segmentation by Type:
Hardware
Software
Segmentation by Imaging Modality:
X-ray / CXR
CT
MRI
Ultrasound
Mammography / DBT
Others
Segmentation by Regulatory & Commercial Type:
SaMD
SiP/SiMD
Others
Segmentation by Application:
Public Hospital
Private Hospital
This report also splits the market by region:
Americas
United States
Canada
Mexico
Brazil
APAC
China
Japan
Korea
Southeast Asia
India
Australia
Europe
Germany
France
UK
Italy
Russia
Middle East & Africa
Egypt
South Africa
Israel
Turkey
GCC Countries
The below companies that are profiled have been selected based on inputs gathered from primary experts and analyzing the company's coverage, product portfolio, its market penetration.
Philips
Merative
Butterfly Network
Tempus
Nanox
Microsoft
Viz.ai
Lunit
DiA Imaging
RetinAi
RapidAI
Canon Medical
KONFOONG BIOTECH INTERNATIONAL CO., LTD（KFBIO）
GE
Aidoc
Siemens
Enlitic
BioMind
ANNALISE-AI PTY LTD
icometrix
Please note: The report will take approximately 2 business days to prepare and deliver.
Table of Contents
131 Pages
- *This is a tentative TOC and the final deliverable is subject to change.*
- 1 Scope of the Report
- 2 Executive Summary
- 3 AI Medical Imaging Market Size by Player
- 4 AI Medical Imaging by Region
- 5 Americas
- 6 APAC
- 7 Europe
- 8 Middle East & Africa
- 9 Market Drivers, Challenges and Trends
- 10 Global AI Medical Imaging Market Forecast
- 11 Key Players Analysis
- 12 Research Findings and Conclusion
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