The global artificial intelligence in medical imaging market reached a value of nearly $3.09 billion in 2025, having grown at a compound annual growth rate (CAGR) of 37.1% since 2020. The market is expected to grow from $3.09 billion in 2025 to $13.22 billion in 2030 at a rate of 33.7%. The market is then expected to grow at a CAGR of 31.2% from 2030 and reach $51.47 billion in 2035.
Growth in the historic period resulted from the rising trauma and road-traffic accident rates, rising adoption of telemedicine and teleradiology, rising global imaging volumes and growing volume of screening and preventive programs. Factors that negatively affected growth in the historic period were data privacy concerns and stringent regulatory approvals.
Going forward, rising geriatric population, increasing prevalence of chronic and lifestyle-related diseases, increasing adoption of AI in government-funded healthcare programs and increasing number of diagnostic and outpatient imaging centers will drive the growth. Factors that could hinder the growth of the artificial intelligence in medical imaging market in the future include high costs of ai integration, limited availability of skilled radiologists and impact of trade war and tariff.
Market trends for the artificial intelligence in medical imaging market include investing in the development of advanced artificial intelligence-powered imaging technologies; development of advanced artificial intelligence-driven diagnostic tools; development of cloud-based platforms and data-driven technologies; prioritizing the development of connected imaging systems and intelligent clinical infrastructure; and emphasizing the development of intelligent imaging technologies and automated system capabilities.
The artificial intelligence in medical imaging market is segmented by technology into deep learning, natural language processing (NLP), machine learning, computer vision techniques and other AI technologies. The deep learning market was the largest segment of the artificial intelligence in medical imaging market segmented by technology, accounting for 54.4% or $1.68 billion of the total in 2025. Going forward, the natural language processing (NLP) segment is expected to be the fastest-growing segment in the artificial intelligence in medical imaging market segmented by technology, at a CAGR of 41.6% during 2025-2030.
The artificial intelligence in medical imaging market is segmented by solution into software tools and services. The software tools was the largest segment of the artificial intelligence in medical imaging market segmented by solution, accounting for 71.1% or $2.2 billion of the total in 2025. Going forward, the services segment is expected to be the fastest-growing segment in the artificial intelligence in medical imaging market segmented by solution, at a CAGR of 43% during 2025-2030.
The artificial intelligence in medical imaging market is segmented by modality into computed tomography (CT) scan, magnetic resonance imaging (MRI), X-rays, ultrasound, nuclear imaging and other modalities. The computed tomography (CT) scan was the largest segment of the artificial intelligence in medical imaging market segmented by modality, accounting for 37% or $1.14 billion of the total in 2025. Going forward, the magnetic resonance imaging (MRI) segment is expected to be the fastest-growing segment in the artificial intelligence in medical imaging market segmented by modality, at a CAGR of 41.8% during 2025-2030.
The artificial intelligence in medical imaging market is segmented by application into digital pathology, oncology, cardiovascular, neurology, lung (respiratory system), breast (mammography), liver (GI), oral diagnostics and other applications. The neurology market was the largest segment of the artificial intelligence in medical imaging market segmented by application, accounting for 22.2% or $688.4 million of the total in 2025. Going forward, the lung (respiratory system) segment is expected to be the fastest-growing segment in the artificial intelligence in medical imaging market segmented by application, at a CAGR of 39.2% during 2025-2030.
The artificial intelligence in medical imaging market is segmented by end-use into hospitals, diagnostic imaging centers and other end-users. The hospitals market was the largest segment of the artificial intelligence in medical imaging market segmented by end-use, accounting for 59.8% or $1.85 billion of the total in 2025. Going forward, the hospitals segment is expected to be the fastest-growing segment in the artificial intelligence in medical imaging market segmented by a end-use, at a CAGR of 34.8% during 2025-2030.
North America was the largest region in the artificial intelligence in medical imaging market, accounting for 42.4% or $1.31 billion of the total in 2025. It was followed by Asia Pacific, Western Europe and then the other regions. Going forward, the fastest-growing regions in the artificial intelligence in medical imaging market will be Asia Pacific and Western Europe where growth will be at CAGRs of 38% and 33.5% respectively. These will be followed by Africa and South America where the markets are expected to grow at CAGRs of 33.5% and 32.7% respectively.
The global artificial intelligence in medical imaging market is fairly concentrated, with large players operating in the market. The top 10 competitors in the market made up 31.20% of the total market in 2024. Siemens Healthineers AG was the largest competitor with a 4.25% share of the market, followed by GE HealthCare Technologies Inc. with 3.84%, Koninklijke Philips NV with 3.78%, Canon Medical Systems with 3.69%, Fujifilm Holdings Corporation with 3.52%, Hologic, Inc. with 3.36%, Agfa Healthcare Corp. with 3.15%, Aidoc Medical Ltd. with 2.67%, Viz.AI Inc. with 2.37% and Qure.ai with 0.58%.
The top opportunities in the artificial intelligence in medical imaging market segmented by technology will arise in the deep learning segment, which will gain $5.4 billion of global annual sales by 2030. The top opportunities in the artificial intelligence in medical imaging market segmented by solution will arise in the software tools segment, which will gain $5.66 billion of global annual sales by 2030. The top opportunities in the artificial intelligence in medical imaging market segmented by modality will arise in the computed tomography (CT) scan segment, which will gain $3.38 billion of global annual sales by 2030. The top opportunities in the artificial intelligence in medical imaging market segmented by application will arise in the neurology segment, which will gain $2.26 billion of global annual sales by 2030. The top opportunities in the artificial intelligence in medical imaging market segmented by end-use will arise in the hospitals segment, which will gain $6.4 billion of global annual sales by 2030. The artificial intelligence in medical imaging market size will gain the most in the USA at $3.44 billion.
Player-adopted strategies in the artificial intelligence in medical imaging market include focus on strengthening its business operations through new launches.
Market-trend-based strategies for the artificial intelligence in medical imaging market include focus on advancing artificial intelligence-enabled imaging systems, focus on advancing artificial intelligence-integrated imaging technologies, focus on developing advanced speech recognition and workflow automation technologies, focus on advancing cloud-based imaging informatics platforms, focus on developing intelligent ultrasound imaging systems that integrate advanced artificial intelligence tools and focus on strategic investments.
To take advantage of the opportunities, the analyst recommends the artificial intelligence in medical imaging companies to focus on advancing real-time ai imaging for surgical precision, focus on ai-integrated imaging systems for efficiency and sustainability, focus on speech recognition and workflow automation for radiology efficiency, focus on cloud-based imaging informatics for scalable ai integration, focus on intelligent ultrasound systems with real-time ai capabilities, focus on strategic investment to scale ai imaging deployment, focus on natural language processing for workflow and data integration gains, focus on services segment for rapid expansion and client retention, focus on mri segment for high growth and advanced imaging demand, expand in emerging markets, continue to focus on developed markets, focus on expanding distribution through integrated healthcare networks, focus on value-based and tiered pricing models, focus on clinical credibility and outcome evidence, focus on targeted education and relationship building, focus on hospitals segment for accelerated growth, focus on lung imaging segment for high growth opportunities.
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Table of Contents
Executive Summary
Artificial Intelligence (AI) In Medical Imaging Global Market Opportunities and Strategies to 2035 provides the strategists; marketers and senior management with the critical information they need to assess the global artificial intelligence (AI) in medical imaging market as it emerges from the COVID-19 shut down.Reasons to Purchase
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Description
Where is the largest and fastest-growing market for artificial intelligence (AI) in medical imaging? How does the market relate to the overall economy; demography and other similar markets? What forces will shape the market going forward? The artificial intelligence (AI) in medical imaging market global report answers all these questions and many more.
The report covers market characteristics; size and growth; segmentation; regional and country breakdowns; competitive landscape; market shares; trends and strategies for this market. It traces the market’s history and forecasts market growth by geography. It places the market within the context of the wider artificial intelligence (AI) in medical imaging; and compares it with other markets.
The report covers the following chapters
- Introduction and Market Characteristics - Brief introduction to the segmentations covered in the market, definitions and explanations about the segments, key products, supply chain and market attractiveness scoring and analysis.
- Key Trends - Highlights the major trends shaping the global market. This section also highlights likely future technologies and developments in the market.
- Growth Analysis and Strategic Analysis Framework Analysis on PESTEL, end use industries, market growth rate, global historic (2020-2025) and forecast (2025-2030, 2035F) market values and drivers and restraints that support and control the growth of the market in the historic and forecast periods, forecast growth contributors and total addressable market (TAM).
- Global Market Size and Growth Global historic (2020-2025) and forecast (2025-2030, 2035F) market values and drivers and restraints that support and control the growth of the market in the historic and forecast periods.
- Regional and Country Analysis - Historic (2020-2025) and forecast (2025-2030, 2035F) market values and growth and market share comparison by region and country.
- Market Segmentation - Contains the market values (2020-2025) (2025-2030, 2035F) and analysis for each segment by technology, by solution, by modality, by application and by end user in the market. historic (2020-2025) and forecast (2025-2030) and (2030-2035) market values and growth and market share comparison by region market.
- Regional Market Size and Growth - Regional market size (2025), historic (2020-2025) and forecast (2025-2030, 2035F) market values and growth and market share comparison of countries within the region. This report includes information on all the regions Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa and major countries within each region.
- Competitive Landscape - Details on the competitive landscape of the market, estimated market shares and company profiles of the leading players.
- Other Major and Innovative Companies Details on the company profiles of other major and innovative companies in the market.
- Competitive Benchmarking - Briefs on the financials comparison between major players in the market.
- Competitive Dashboard - Briefs on competitive dashboard of major players.
- Key Mergers and Acquisitions - Information on recent mergers and acquisitions in the market covered in the report. This section gives key financial details of mergers and acquisitions, which have shaped the market in recent years.
- Recent Developments - Information on recent developments in the market covered in the report.
- Market Opportunities and Strategies - Describes market opportunities and strategies based on findings of the research, with information on growth opportunities across countries, segments and strategies to be followed in those markets.
- Conclusions and Recommendations - This section includes recommendations for artificial intelligence (AI) in medical imaging providers in terms of product/service offerings geographic expansion, marketing strategies and target groups.
- Appendix - This section includes details on the NAICS codes covered, abbreviations and currencies codes used in this report.
Markets Covered:
1) By Technology: Deep Learning; Natural Language Processing (NLP); Machine Learning; Computer Vision Techniques; Other AI Technologies
2) By Solution: Software Tools; Services
3) By Modality: Computed Tomography (CT) Scan; Magnetic Resonance Imaging (MRI); X-Rays; Ultrasound; Nuclear Imaging; Other Modalities
4) By Application: Digital Pathology; Oncology; Cardiovascular; Neurology; Lung (Respiratory System); Breast (Mammography); Liver (GI); Oral Diagnostics; Other Applications
5) By End User: Hospitals; Diagnostic Imaging Centers; Other End-Users
Companies Mentioned: Siemens Healthineers AG; GE HealthCare Technologies Inc.; Koninklijke Philips NV; Canon Medical Systems; Fujifilm Holdings Corporation
Countries: China; India; Japan; Australia; Indonesia; South Korea; USA; Canada; Brazil; UK; Germany; France; Italy; Spain; Russia; Taiwan
Regions: Asia-Pacific; South East Asia; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
Time Series: Five years historic and ten years forecast.
Data: Ratios of market size and growth to related markets; GDP proportions; expenditure per capita; artificial intelligence (AI) in medical imaging indicators comparison.
Data segmentations: country and regional historic and forecast data; market share of competitors; market segments.
Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
Companies Mentioned
- Siemens Healthineers AG
- GE HealthCare Technologies Inc.
- Koninklijke Philips NV
- Canon Medical Systems
- Fujifilm Holdings Corporation
- Hologic, Inc.
- Agfa Healthcare Corp.
- Aidoc Medical Ltd.
- Viz.AI Inc.
- Qure.ai
- Coreline Soft
- Infervision
- Yitu Healthcare
- JLK Inspection
- Deepwise Healthcare
- VUNO
- Lunit
- AIRS Medical
- Neurophet
- Hitachi Medical Corporation
- Ziosoft
- LPIXEL
- AI Medical Service
- Samsung Medison Co. Ltd.
- MEDICAL IP
- DeepBio
- Deepnoid
- iSurgery Co., Ltd
- Shimadzu Corporation
- Annalise.ai
- Enlitic Inc.
- Butterfly Network, Inc.
- HeartFlow, Inc.
- Tempus AI Inc.
- Subtle Medical
- Cortechs.ai
- Perimeter Medical Imaging AI
- Roche Diagnostics
- Bracco Imaging S.p.A.
- Starvision Service GmbH
- FUSE-AI GmbH
- Sectra AB
- Visage Imaging GmbH
- Brainomix Ltd.
- icometrix
- CARPL.ai
- Deepc GmbH
- Radpoint Sp. z o.o.
- Carebot
- Better Medicine
- Care Mentor AI
- United Imaging Healthcare Europe
- Zebra Medical Vision
- Nanox.AI
- ASELSAN
- XERA Medical Systems and Technology Ltd.
- Carestream Health, Inc.
- Rology
Table Information
| Report Attribute | Details |
|---|---|
| No. of Pages | 415 |
| Published | June 2026 |
| Forecast Period | 2025 - 2035 |
| Estimated Market Value ( USD | $ 3.09 Billion |
| Forecasted Market Value ( USD | $ 51.47 Billion |
| Compound Annual Growth Rate | 32.5% |
| Regions Covered | Global |
| No. of Companies Mentioned | 58 |


