Report Descriptions:

The Global AI in Medical Imaging Market was estimated at USD 1.83 billion in 2025 and is projected to reach USD 35.58 billion by 2035, reflecting a robust CAGR of 43.55% over the forecast period from 2025 to 2035. The AI in Medical Imaging market report offers a comprehensive and nuanced view of the industry, moving beyond conventional analysis. It provides a thorough examination of the market’s dynamics, encompassing a detailed exploration of the factors propelling growth, such as evolving economic conditions, advancements in technology, shifts in regulatory policies, and changes in consumer behavior. Furthermore, the report discusses the projected Compound Annual Growth Rate (CAGR), providing stakeholders with a clear understanding of the market's expected growth trajectory and offering data-driven insights into future market dynamics.

The AI in Medical Imaging market under analysis is characterized by dynamic growth and evolving trends that are reshaping the competitive landscape. With 2025 serving as the base year for this AI in Medical Imaging market study, recent data highlights a significant expansion driven by technological advancements, rising consumer demand, and a growing focus on innovation. Companies are refining their go-to-market (GTM) strategies to effectively capture these emerging opportunities and respond to the rapidly changing market dynamics.

Key trends influencing the AI in Medical Imaging market include the rapid adoption of digital technologies, the integration of sustainable practices, and the increasing importance of customer experience. These trends are not only driving growth but also creating new challenges for industry participants, who must adapt their GTM strategies to navigate regulatory changes, supply chain disruptions, and fluctuating economic conditions. Despite these challenges, the AI in Medical Imaging market is poised for sustained growth, with emerging markets playing a critical role in the expansion of the industry.

Looking ahead, the AI in Medical Imaging market is forecasted to continue its upward momentum through 2035, supported by ongoing investments in research and development, strategic partnerships, and mergers and acquisitions. Companies that can effectively tailor their GTM strategies to the evolving market landscape, innovate, and meet shifting consumer demands are likely to achieve sustained success. AI in Medical Imaging market report provides a comprehensive analysis of the current market environment and offers valuable insights into the key drivers, challenges, and opportunities that will shape the industry's future over the next decade. This report offers a comprehensive analysis of market dynamics across various segments, regions, and countries, incorporating both qualitative and quantitative data. It covers the period from 2017 to 2035, providing a detailed examination of historical performance, current market conditions, and future projections.

Historical Analysis (2017-2024): The report presents a thorough review of market trends, performance metrics, and growth trajectories for the years 2017 through 2024. This historical perspective is crucial for understanding past market behavior and identifying patterns that influence current and future market dynamics.

Forecast and Projections (2026-2035) : Building on historical data, the report provides forward-looking insights, including market forecasts and growth projections from 2026 to 2035. It details anticipated market trends, emerging opportunities, and potential challenges across different segments, regions, and countries.

Compound Annual Growth Rate (CAGR): The report includes a precise calculation of the compound annual growth rate (CAGR) for the forecast period of 2026 to 2035. This metric will be instrumental in assessing the expected growth trajectory and the overall market potential during the forecast period.

The AI in Medical Imaging market refers to the integration of artificial intelligence technologies—primarily machine learning and deep learning—into systems that process, analyse, and interpret medical images. Key technologies include advanced algorithms for image recognition, pattern detection, and automated diagnostics. Applications cover diagnostic support, workflow optimization, predictive analytics, and early disease detection across imaging modalities such as X-ray, MRI, CT, and ultrasound.

AI is revolutionizing medical imaging by enhancing how doctors diagnose and care for patients. From accurately spotting tumours and fractures to predicting how a disease might progress, AI is becoming an invaluable tool in healthcare. It helps radiologists by automatically analysing and segmenting images, which makes planning treatments more precise and efficient. By streamlining routine tasks and flagging urgent cases faster, AI not only saves time but also helps detect diseases earlier—often before symptoms even appear—leading to better outcomes for patients.

• As hospitals generate massive amounts of imaging data daily from advanced technologies like CT, MRI, and ultrasound, manually analysing this information has become nearly impossible—making AI indispensable for managing data efficiently, reducing errors, and speeding up diagnoses.
• A global shortage of skilled radiologists, especially in rural and underserved regions, has highlighted the need for AI tools that can automate routine tasks, support less-experienced clinicians, and help prioritize urgent cases.
• Governments are also playing a vital role by investing in AI research, launching digital health programs, and backing startups focused on medical imaging innovation. This support is helping expand access to AI-powered diagnostics and accelerating technological progress.
• The rising prevalence of chronic diseases like cancer and heart conditions, along with an aging global population, is increasing the need for early, accurate, and personalized diagnosis—something AI is particularly well-suited to deliver.
• The growing integration of AI with electronic health records (EHRs) and cloud platforms is transforming how healthcare systems operate by enabling secure data sharing, remote diagnostics, and advanced analytics.

• One of the biggest concerns is data privacy and security—healthcare providers must handle sensitive patient information with extreme care, and complying with complex regulations like HIPAA and GDPR can be both difficult and expensive.
• Another major barrier is the high upfront cost of implementing AI, including the need for specialized infrastructure, software, and staff training. This can be especially daunting for smaller clinics or hospitals with limited budgets.
• Integrating AI into existing systems also adds technical complexity.
• The regulatory landscape is still catching up with technology. Getting approval from agencies like the FDA is often a long and costly process, and the absence of clear, standardized guidelines makes it harder for developers to bring solutions to market.
• Many clinicians remain hesitant to adopt AI tools, especially those that work like a “black box” with little explanation of how they reach conclusions. To build trust and encourage wider use, there’s growing demand for explainable AI.

North America continues to lead the way in AI-powered medical imaging, driven by strong healthcare systems, substantial spending, and early adoption of advanced imaging technologies like MRI, CT, and X-ray—all now increasingly enhanced by AI. In both the U.S. and Canada, hospitals are quickly integrating AI into clinical workflows, supported by major tech players like Microsoft, IBM, and Intel, as well as a vibrant startup ecosystem.

Europe is emerging as a strong player in the AI medical imaging space, led by countries like Germany, the UK, and France. The region benefits from robust government support, cutting-edge healthcare systems, and industry giants like Siemens and Philips driving innovation.

Asia Pacific is emerging as the fastest-growing region for AI in medical imaging, powered by countries like China, India, Japan, South Korea, and Australia. A wave of digital transformation is sweeping through healthcare, supported by proactive government policies, funding, and collaborations between public and private sectors.

Latin America is gradually emerging as a promising market for AI in medical imaging, with countries like Brazil, Mexico, and Argentina leading the way. While adoption is still catching up to North America and Europe, there's growing momentum—especially in urban hospitals and larger healthcare facilities.

Middle East and Africa: AI in medical imaging is gradually gaining traction, especially in countries like Saudi Arabia, the UAE, South Africa, and Israel. While still in the early stages, there's growing interest as governments push to modernize healthcare systems and tackle challenges like physician shortages and the need for more precise diagnostics.

AI Driving Innovation in US Medical Imaging: The United States stands at the forefront of the global AI in medical imaging market, thanks to its advanced healthcare infrastructure and strong investment in cutting-edge technologies. With a growing burden of chronic diseases like cancer, heart disease, and neurological conditions, there's a pressing need for faster, more accurate diagnostics—and AI is stepping in to meet that demand.

Germany is driving growth in AI medical imaging: Germany stands out as a key player in Europe's AI medical imaging landscape, thanks to its advanced healthcare system, strong investment in medical technology, and high demand for diagnostic imaging. Hospitals are beginning to integrate AI tools into their daily operations, and there’s growing interest in cloud-based imaging and collaborative innovation between universities and the tech industry.

Japan's Rise in AI-Driven Medical Imaging: Japan is quickly becoming a leader in AI-powered medical imaging, thanks to its tech-savvy population, a high burden of chronic and age-related illnesses, and strong government backing for digital healthcare. With one of the world’s highest concentrations of advanced imaging tools, Japan places a strong emphasis on early detection.

• Competition in the AI medical imaging market is intense, driven by rapid technological innovation and the need to meet strict regulatory standards. Companies are constantly advancing their AI models—using techniques like deep learning and neural networks—to deliver faster, more accurate image analysis.
• Success also hinges on meeting rigorous regulatory requirements from agencies like the FDA, MDR, and PMDA, which ensure that these tools are safe, effective, and secure.
• Cost-effectiveness plays a big role too, especially in budget-conscious or resource-limited settings, where scalable solutions with clear returns on investment are more likely to be adopted.
• Seamless integration with existing systems like PACS and EHRs is another key factor, as healthcare providers favour tools that fit easily into their current workflows.
• What truly sets some solutions apart, however, is how well they perform in real-world clinical environments—high accuracy, speed, and user-friendly interfaces.
• Strong customer support—through training, regular updates, and responsive troubleshooting—can make a big difference in long-term adoption.
• Features like support for multiple imaging modalities, real-time insights, and cloud-based platforms also give certain tools a competitive edge.

Key players in the market: Siemens Healthineers AG, GE HealthCare Technologies, Inc., Koninklijke Philips N.V., IBM (Watson Health), NVIDIA Corporation, Agfa-Gevaert Group/Agfa HealthCare, Fujifilm Holdings Corporation, Canon Medical Systems, Aidoc, Butterfly Network, Inc., Lunit Inc., Arterys Inc., Viz.ai, Inc., Caption Health, Digital Diagnostics Inc., and other players.

• In February 2025, the Madras Medical Mission (MMM) in Chennai took a major step forward in cardiac care by opening an AI-powered centre dedicated to heart health. The facility features cutting-edge imaging tools, including a modern cath lab that uses AI to support diagnostics for procedures like angioplasty and stenting.
• In May 2023, GE HealthCare received 510(k) clearance from the U.S. FDA for its latest innovation, Precision DL—a cutting-edge deep learning image processing software. This marks a significant step forward in the company’s growing Effortless Recon DL lineup, aimed at making advanced imaging faster, clearer, and more efficient for healthcare providers.

Study Period for the AI in Medical Imaging Market:

AI in Medical Imaging Market

Report Highlights:

Our team of experienced researchers has meticulously gathered and analyzed data to deliver a thorough examination of market dynamics, competitive landscape, and emerging technologies. With a focus on delivering actionable intelligence, this report aims to empower decision-makers with the information needed to make informed choices and stay ahead of the competition. Whether you are a seasoned industry player or a new entrant, our market research report serves as a strategic tool to navigate the complexities of the market, aiding in successful business planning and growth strategies.

Key Chapters of our AI in Medical Imaging Market Report includes:

Market Dynamics, Variables, and Industry Analysis:

This chapter of our AI in Medical Imaging market report provides an in-depth examination of the factors shaping the industry landscape. This section typically encompasses several key elements to offer a comprehensive understanding of the industry landscape such as market drivers & restraints analysis, market opportunities & trend analysis, market size & growth analysis, competitive analysis, SWOT analysis, business environment tools such as Porter's five forces & PESTEL analysis, Ansoff Matrix analysis, penetration & growth prospect analysis, regulatory framework & reimbursement scenario analysis, impact of macro & micro economic factors analysis such as Covid-19 impact, GDP growth, market inflation, U.S.- China trade war, Russia-Ukraine war impact, and supply chain analysis.

Segment Analysis & Forecast to 2035:

The segment analysis chapter of AI in Medical Imaging market report is a critical section that delves into a detailed examination of the market's various segments. Segmentation involves dividing the market into distinct categories based on certain criteria to better understand and address the diverse needs of consumers. This chapter typically follows the introduction and provides a more granular view of the market, offering valuable insights for businesses and stakeholders. The components of the chapter lude segment definitions to understand the inclusions and exclusions of the study, assumptions, market size estimates and growth trend analysis of each segment, qualitative analysis of the segment, technological advancements, market penetration rate, market adoption rate, market share examination by each segment, segment growth drivers and restraint barriers, consumer behaviour and challenge analysis.

Regional Market Analysis & Forecast to 2035:

The chapter in AI in Medical Imaging market research report is a pivotal section that examines and predicts the market dynamics and trends specific to different geographical regions. This chapter is crucial for businesses and stakeholders seeking a comprehensive understanding of how the market behaves across various locations, enabling them to tailor strategies and make informed decisions based on regional variations. The regional analysis chapter of our AI in Medical Imaging market report is classified into regions & country-level. The chapter consists of North America (U.S., Canada), Europe (UK, Germany, France, Italy, Spain, Russia, Sweden, Denmark, Norway, Rest of Europe), Asia Pacific (Japan, China, India, Australia, South Korea, Thailand, Rest of Asia Pacific), Latin America (Brazil, Mexico, Argentina, Colombia, Rest of Latin America), Middle East & Africa (South Africa, Saudi Arabia, UAE, Kuwait, Rest of Middle East & Africa).

AI in Medical Imaging Market

Competitive Analysis & Company Profiles:

This section of a AI in Medical Imaging market report is a crucial segment that provides a comprehensive overview of the competitive landscape within the market. This section is vital for businesses, investors, and stakeholders seeking insights into key players, their market positioning, strengths, weaknesses, strategies, and potential impacts on the overall market dynamics. The chapter includes research methodology used to analyse the market competition, list of key players operating in the market, detailed company profile section which includes company overview, business verticals, financial performance, product/services benchmarking, geographical presence, and strategic initiatives.

• Siemens Healthineers AG
• GE HealthCare Technologies, Inc.
• Koninklijke Philips N.V.
• IBM (Watson Health)
• NVIDIA Corporation
• Agfa‑Gevaert Group/Agfa HealthCare
• Fujifilm Holdings Corporation
• Canon Medical Systems
• Aidoc
• Butterfly Network, Inc.
• Lunit Inc.
• Arterys Inc.
• Viz.ai, Inc.
• Caption Health
• Digital Diagnostics Inc.

AI in Medical Imaging Market

Report Scope:

Based on Technology, the AI in Medical Imaging market is segmented into:

• Deep Learning
• Natural Language Processing (NLP)
• Others (e.g.
• Computer Vision)

Based on Application, the AI in Medical Imaging market is segmented into:

• Neurology
• Respiratory & Pulmonary
• Cardiology
• Breast Screening
• Orthopedics
• Others

Based on Modality, the AI in Medical Imaging market is segmented into:

• CT Scan
• MRI
• X-rays
• Ultrasound
• Nuclear Imaging

Based on End User, the AI in Medical Imaging market is segmented into:

• Hospitals
• Diagnostic Imaging Centers
• Others

Key Reasons to Acquire the AI in Medical Imaging Market Research Report:

• This report offers a comprehensive analysis of the AI in Medical Imaging market from 2017 to 2035, including market segments, current trends, estimations, and dynamics
• It also provides information on key drivers, restraints, and opportunities
• Porter's five forces analysis is used to assess the potency of buyers and suppliers, helping stakeholders make profit-oriented business decisions and strengthen their supplier-buyer network
• The report includes an in-depth analysis of the AI in Medical Imaging market segmentation to identify prevailing market opportunities
• Major countries in each region are mapped according to their revenue contribution to the global market
• Market player positioning is also analyzed to facilitate benchmarking and provide a clear understanding of the present position of the market players
• The report includes an analysis of the regional and global AI in Medical Imaging market trends, key players, market segments, application areas, and market growth strategies

AI in Medical Imaging Market

Available Customizations:

With the given market data, Quintile Reports offers customizations according to the company's specific needs. The following customization options are available for the report:

• You may ask for a global, regional, or country-specific report.
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• You may ask for specific competitors/players to be profiled.

AI in Medical Imaging Market Report

Statistics for the 2024 AI in Medical Imaging market share, size, and revenue growth rate were created by Quintile Report™. AI in Medical Imaging analysis includes a market forecast outlook for 2035 and a historical overview. Get a free PDF sample of this market analysis, please get in touch with our principal analyst at sales@quintilereports.com