Global AI-based Imaging Diagnosis Market Growth 2025-2031
Description
The global AI-based Imaging Diagnosis market size is predicted to grow from US$ 1484 million in 2025 to US$ 6609 million in 2031; it is expected to grow at a CAGR of 28.3% from 2025 to 2031.
The impact of the latest U.S. tariff measures and the corresponding policy responses from countries worldwide on market competitiveness, regional economic performance, and supply chain configurations will be comprehensively evaluated in this report.
AI-based imaging diagnosis refers to the application of artificial intelligence technologies—such as deep learning, computer vision, and image recognition algorithms—to automatically process and analyze medical imaging data, including X-rays, CT scans, MRI, ultrasound, and digital pathology. These systems assist healthcare professionals in disease screening, detection, classification, and risk prediction, significantly enhancing diagnostic accuracy and efficiency. Widely used in clinical areas such as lung disease, stroke, breast cancer, fractures, and diabetic retinopathy, AI-based imaging diagnosis is a core component of intelligent healthcare and precision medicine.
United States market for AI-based Imaging Diagnosis is estimated to increase from US$ million in 2024 to US$ million by 2031, at a CAGR of % from 2025 through 2031.
China market for AI-based Imaging Diagnosis is estimated to increase from US$ million in 2024 to US$ million by 2031, at a CAGR of % from 2025 through 2031.
Europe market for AI-based Imaging Diagnosis is estimated to increase from US$ million in 2024 to US$ million by 2031, at a CAGR of % from 2025 through 2031.
Global key AI-based Imaging Diagnosis players cover Siemens Healthineers, GE Healthcare, Philips, Canon Healthcare, Fujifilm, etc. In terms of revenue, the global two largest companies occupied for a share nearly % in 2024.
LP Information, Inc. (LPI) ' newest research report, the “AI-based Imaging Diagnosis Industry Forecast” looks at past sales and reviews total world AI-based Imaging Diagnosis sales in 2024, providing a comprehensive analysis by region and market sector of projected AI-based Imaging Diagnosis sales for 2025 through 2031. With AI-based Imaging Diagnosis sales broken down by region, market sector and sub-sector, this report provides a detailed analysis in US$ millions of the world AI-based Imaging Diagnosis industry.
This Insight Report provides a comprehensive analysis of the global AI-based Imaging Diagnosis landscape and highlights key trends related to product segmentation, company formation, revenue, and market share, latest development, and M&A activity. This report also analyzes the strategies of leading global companies with a focus on AI-based Imaging Diagnosis portfolios and capabilities, market entry strategies, market positions, and geographic footprints, to better understand these firms’ unique position in an accelerating global AI-based Imaging Diagnosis market.
This Insight Report evaluates the key market trends, drivers, and affecting factors shaping the global outlook for AI-based Imaging Diagnosis 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-based Imaging Diagnosis.
This report presents a comprehensive overview, market shares, and growth opportunities of AI-based Imaging Diagnosis market by product type, application, key manufacturers and key regions and countries.
Segmentation by Type:
X-ray
CT
MRI
Ultrasound
Other
Segmentation by Application:
Hospital
Diagnostic Center
Other
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 analysing the company's coverage, product portfolio, its market penetration.
Siemens Healthineers
GE Healthcare
Philips
Canon Healthcare
Fujifilm
Carestream Health
Samsung
Shimadzu
Konica Minolta
United Imaging
Esaote
SonoScape
Mindray
Wandon Medical
Anke
Hologic
Envista Holdings
Dentsply Sirona
Vatech
Planmeca
Key Questions Addressed in this Report
What is the 10-year outlook for the global AI-based Imaging Diagnosis market?
What factors are driving AI-based Imaging Diagnosis market growth, globally and by region?
Which technologies are poised for the fastest growth by market and region?
How do AI-based Imaging Diagnosis market opportunities vary by end market size?
How does AI-based Imaging Diagnosis break out by Type, by Application?
Please note: The report will take approximately 2 business days to prepare and deliver.
The impact of the latest U.S. tariff measures and the corresponding policy responses from countries worldwide on market competitiveness, regional economic performance, and supply chain configurations will be comprehensively evaluated in this report.
AI-based imaging diagnosis refers to the application of artificial intelligence technologies—such as deep learning, computer vision, and image recognition algorithms—to automatically process and analyze medical imaging data, including X-rays, CT scans, MRI, ultrasound, and digital pathology. These systems assist healthcare professionals in disease screening, detection, classification, and risk prediction, significantly enhancing diagnostic accuracy and efficiency. Widely used in clinical areas such as lung disease, stroke, breast cancer, fractures, and diabetic retinopathy, AI-based imaging diagnosis is a core component of intelligent healthcare and precision medicine.
United States market for AI-based Imaging Diagnosis is estimated to increase from US$ million in 2024 to US$ million by 2031, at a CAGR of % from 2025 through 2031.
China market for AI-based Imaging Diagnosis is estimated to increase from US$ million in 2024 to US$ million by 2031, at a CAGR of % from 2025 through 2031.
Europe market for AI-based Imaging Diagnosis is estimated to increase from US$ million in 2024 to US$ million by 2031, at a CAGR of % from 2025 through 2031.
Global key AI-based Imaging Diagnosis players cover Siemens Healthineers, GE Healthcare, Philips, Canon Healthcare, Fujifilm, etc. In terms of revenue, the global two largest companies occupied for a share nearly % in 2024.
LP Information, Inc. (LPI) ' newest research report, the “AI-based Imaging Diagnosis Industry Forecast” looks at past sales and reviews total world AI-based Imaging Diagnosis sales in 2024, providing a comprehensive analysis by region and market sector of projected AI-based Imaging Diagnosis sales for 2025 through 2031. With AI-based Imaging Diagnosis sales broken down by region, market sector and sub-sector, this report provides a detailed analysis in US$ millions of the world AI-based Imaging Diagnosis industry.
This Insight Report provides a comprehensive analysis of the global AI-based Imaging Diagnosis landscape and highlights key trends related to product segmentation, company formation, revenue, and market share, latest development, and M&A activity. This report also analyzes the strategies of leading global companies with a focus on AI-based Imaging Diagnosis portfolios and capabilities, market entry strategies, market positions, and geographic footprints, to better understand these firms’ unique position in an accelerating global AI-based Imaging Diagnosis market.
This Insight Report evaluates the key market trends, drivers, and affecting factors shaping the global outlook for AI-based Imaging Diagnosis 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-based Imaging Diagnosis.
This report presents a comprehensive overview, market shares, and growth opportunities of AI-based Imaging Diagnosis market by product type, application, key manufacturers and key regions and countries.
Segmentation by Type:
X-ray
CT
MRI
Ultrasound
Other
Segmentation by Application:
Hospital
Diagnostic Center
Other
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 analysing the company's coverage, product portfolio, its market penetration.
Siemens Healthineers
GE Healthcare
Philips
Canon Healthcare
Fujifilm
Carestream Health
Samsung
Shimadzu
Konica Minolta
United Imaging
Esaote
SonoScape
Mindray
Wandon Medical
Anke
Hologic
Envista Holdings
Dentsply Sirona
Vatech
Planmeca
Key Questions Addressed in this Report
What is the 10-year outlook for the global AI-based Imaging Diagnosis market?
What factors are driving AI-based Imaging Diagnosis market growth, globally and by region?
Which technologies are poised for the fastest growth by market and region?
How do AI-based Imaging Diagnosis market opportunities vary by end market size?
How does AI-based Imaging Diagnosis break out by Type, by Application?
Please note: The report will take approximately 2 business days to prepare and deliver.
Table of Contents
136 Pages
- *This is a tentative TOC and the final deliverable is subject to change.*
- 1 Scope of the Report
- 2 Executive Summary
- 3 Global by Company
- 4 World Historic Review for AI-based Imaging Diagnosis by Geographic Region
- 5 Americas
- 6 APAC
- 7 Europe
- 8 Middle East & Africa
- 9 Market Drivers, Challenges and Trends
- 10 Manufacturing Cost Structure Analysis
- 11 Marketing, Distributors and Customer
- 12 World Forecast Review for AI-based Imaging Diagnosis by Geographic Region
- 13 Key Players Analysis
- 14 Research Findings and Conclusion
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