Global AI-Enabled Imaging Modalities Market Growth (Status and Outlook) 2026-2032
Description
The global AI-Enabled Imaging Modalities market size is predicted to grow from US$ 7318 million in 2025 to US$ 14740 million in 2032; it is expected to grow at a CAGR of 10.9% from 2026 to 2032.
AI-supported medical imaging refers to hardware and software systems that utilize artificial intelligence technologies (such as deep learning and computer vision) to automatically analyze, detect lesions, quantitatively assess, and assist in the diagnosis of medical images such as X-rays, CT scans, MRIs, and ultrasounds. The aim is to improve the efficiency, accuracy, and standardization of image interpretation. The upstream of its industry chain includes medical imaging equipment manufacturers (such as GE, Siemens, and United Imaging), high-performance computing chips (GPUs/TPUs), and medical data storage and cloud computing service providers. The midstream consists of AI algorithm companies, medical imaging AI software developers, and system integrators. The downstream covers hospital radiology departments, health check-up centers, third-party imaging centers, and primary healthcare institutions. Commercialization is achieved through software licensing, SaaS subscriptions, or bundled sales with equipment. Due to high technological barriers, long clinical validation cycles, and strong compliance requirements, the gross profit margin of mature products generally remains between 60% and 85%, significantly higher than that of traditional medical software.
Currently, AI medical imaging has moved from technological research and development to an accelerated phase of clinical application, achieving large-scale application in areas such as pulmonary nodules, stroke, fractures, breast cancer, and liver diseases. China, the United States, and the European Union have successively established approval pathways for AI software in medical devices (such as NMPA Class III certificates and FDA SaMD) to promote compliant product launches. The industry is evolving from "single-disease-assisted detection" to "full-process intelligent workflow," deeply integrating into image acquisition, reconstruction, image interpretation, report generation, and follow-up management. At the same time, large-scale models (such as medical vision-language models) are emerging, driving breakthroughs in cross-modal analysis and general image understanding capabilities.
LPI (LP Information)' newest research report, the “AI-Enabled Imaging Modalities Industry Forecast” looks at past sales and reviews total world AI-Enabled Imaging Modalities sales in 2025, providing a comprehensive analysis by region and market sector of projected AI-Enabled Imaging Modalities sales for 2026 through 2032. With AI-Enabled Imaging Modalities sales broken down by region, market sector and sub-sector, this report provides a detailed analysis in US$ millions of the world AI-Enabled Imaging Modalities industry.
This Insight Report provides a comprehensive analysis of the global AI-Enabled Imaging Modalities 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-Enabled Imaging Modalities portfolios and capabilities, market entry strategies, market positions, and geographic footprints, to better understand these firms’ unique position in an accelerating global AI-Enabled Imaging Modalities market.
This Insight Report evaluates the key market trends, drivers, and affecting factors shaping the global outlook for AI-Enabled Imaging Modalities 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-Enabled Imaging Modalities.
This report presents a comprehensive overview, market shares, and growth opportunities of AI-Enabled Imaging Modalities market by product type, application, key players and key regions and countries.
Segmentation by Type:
AI-Enhanced X-ray
AI-Enhanced CT
AI-Enhanced MRI
AI-Enhanced Ultrasound
AI-Enhanced PET/SPECT
Segmentation by AI Function:
Image Reconstruction & Denoising
Lesion Detection & Segmentation
Quantitative Analysis & Biomarker Extraction
Diagnostic Decision Support
Workflow Automation
Segmentation by Deployment Mode:
On-Device AI Imaging
Cloud-Based AI Imaging
Hybrid AI Imaging Solutions
Segmentation by Application:
Oncology Imaging
Cardiovascular Imaging
Neurology & Brain Imaging
Orthopedic & Musculoskeletal Imaging
Abdominal & Pulmonary Imaging
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
Siemens Healthineers AG.
GE HealthCare
Canon, Inc.
Agfa HealthCare
Hologic
Fujifilm
Konica Minolta, Inc.
United Health Imaging
Exo Imaging
Nanox
Butterfly Network, Inc.
Hyperfine
Aidoc
MRIguidance
Synaptiq
Please note: The report will take approximately 2 business days to prepare and deliver.
AI-supported medical imaging refers to hardware and software systems that utilize artificial intelligence technologies (such as deep learning and computer vision) to automatically analyze, detect lesions, quantitatively assess, and assist in the diagnosis of medical images such as X-rays, CT scans, MRIs, and ultrasounds. The aim is to improve the efficiency, accuracy, and standardization of image interpretation. The upstream of its industry chain includes medical imaging equipment manufacturers (such as GE, Siemens, and United Imaging), high-performance computing chips (GPUs/TPUs), and medical data storage and cloud computing service providers. The midstream consists of AI algorithm companies, medical imaging AI software developers, and system integrators. The downstream covers hospital radiology departments, health check-up centers, third-party imaging centers, and primary healthcare institutions. Commercialization is achieved through software licensing, SaaS subscriptions, or bundled sales with equipment. Due to high technological barriers, long clinical validation cycles, and strong compliance requirements, the gross profit margin of mature products generally remains between 60% and 85%, significantly higher than that of traditional medical software.
Currently, AI medical imaging has moved from technological research and development to an accelerated phase of clinical application, achieving large-scale application in areas such as pulmonary nodules, stroke, fractures, breast cancer, and liver diseases. China, the United States, and the European Union have successively established approval pathways for AI software in medical devices (such as NMPA Class III certificates and FDA SaMD) to promote compliant product launches. The industry is evolving from "single-disease-assisted detection" to "full-process intelligent workflow," deeply integrating into image acquisition, reconstruction, image interpretation, report generation, and follow-up management. At the same time, large-scale models (such as medical vision-language models) are emerging, driving breakthroughs in cross-modal analysis and general image understanding capabilities.
LPI (LP Information)' newest research report, the “AI-Enabled Imaging Modalities Industry Forecast” looks at past sales and reviews total world AI-Enabled Imaging Modalities sales in 2025, providing a comprehensive analysis by region and market sector of projected AI-Enabled Imaging Modalities sales for 2026 through 2032. With AI-Enabled Imaging Modalities sales broken down by region, market sector and sub-sector, this report provides a detailed analysis in US$ millions of the world AI-Enabled Imaging Modalities industry.
This Insight Report provides a comprehensive analysis of the global AI-Enabled Imaging Modalities 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-Enabled Imaging Modalities portfolios and capabilities, market entry strategies, market positions, and geographic footprints, to better understand these firms’ unique position in an accelerating global AI-Enabled Imaging Modalities market.
This Insight Report evaluates the key market trends, drivers, and affecting factors shaping the global outlook for AI-Enabled Imaging Modalities 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-Enabled Imaging Modalities.
This report presents a comprehensive overview, market shares, and growth opportunities of AI-Enabled Imaging Modalities market by product type, application, key players and key regions and countries.
Segmentation by Type:
AI-Enhanced X-ray
AI-Enhanced CT
AI-Enhanced MRI
AI-Enhanced Ultrasound
AI-Enhanced PET/SPECT
Segmentation by AI Function:
Image Reconstruction & Denoising
Lesion Detection & Segmentation
Quantitative Analysis & Biomarker Extraction
Diagnostic Decision Support
Workflow Automation
Segmentation by Deployment Mode:
On-Device AI Imaging
Cloud-Based AI Imaging
Hybrid AI Imaging Solutions
Segmentation by Application:
Oncology Imaging
Cardiovascular Imaging
Neurology & Brain Imaging
Orthopedic & Musculoskeletal Imaging
Abdominal & Pulmonary Imaging
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
Siemens Healthineers AG.
GE HealthCare
Canon, Inc.
Agfa HealthCare
Hologic
Fujifilm
Konica Minolta, Inc.
United Health Imaging
Exo Imaging
Nanox
Butterfly Network, Inc.
Hyperfine
Aidoc
MRIguidance
Synaptiq
Please note: The report will take approximately 2 business days to prepare and deliver.
Table of Contents
125 Pages
- *This is a tentative TOC and the final deliverable is subject to change.*
- 1 Scope of the Report
- 2 Executive Summary
- 3 AI-Enabled Imaging Modalities Market Size by Player
- 4 AI-Enabled Imaging Modalities by Region
- 5 Americas
- 6 APAC
- 7 Europe
- 8 Middle East & Africa
- 9 Market Drivers, Challenges and Trends
- 10 Global AI-Enabled Imaging Modalities Market Forecast
- 11 Key Players Analysis
- 12 Research Findings and Conclusion
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