Global AI In Medical Imaging
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The base year for the analysis is 2025. Historical data has been considered for the period from 2022 to 2025. The year 2026 is considered as the estimated base for forecasting, with projections covering the period from 2026 to 2034. When we deliver the report that time we updated report data till the purchase date.
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| Data Timeline | Historical Data: 2022-2025 | Base Year: 2025 | Forecast Period: 2026-2034 |
|---|---|
| AI Technology Segment Analysis | Deep Learning, Natural Language Processing (NLP), Others |
| Application Segment Analysis | Digital Pathology, Oncology, Cardiovascular, Neurology, Lung (Respiratory System), Breast (Mammography), Liver (GI), Oral Diagnostics, Other |
| Solution Segment Analysis | Software Tools/ Platform, Services |
|---|---|
| Modality Segment Analysis | CT Scan, MRI, X-rays, Ultrasound Imaging, Nuclear Imaging |
| End Use Segment Analysis | Hospitals and Clinics, Research Laboratories and Diagnostic Centers, Others (Ambulatory Surgical Centres Intensive care at home etc.) |
| Regions & Countries Analysis |
|
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According to Cognitive Market Research, The Global AI In Medical Imaging Market size is USD 765215.2 million in 2023 and will expand at a compound annual growth rate (CAGR) of 35.20% from 2023 to 2030.
| Market Size | 2021 (A) | 2025 (A) | 2033 (P) | CAGR |
|---|---|---|---|---|
| Global AI In Medical Imaging Market Sales Revenue | xxxx | xxxx | xxxx | 35.2% |
| North America AI In Medical Imaging Market Sales Revenue | xxxx | xxxx | xxxx | 33.4% |
| Europe AI In Medical Imaging Market Sales Revenue | xxxx | xxxx | xxxx | 33.7% |
| Asia Pacific AI In Medical Imaging Market Sales Revenue | xxxx | xxxx | xxxx | 37.2% |
| South America AI In Medical Imaging Market Sales Revenue | xxxx | xxxx | xxxx | 34.6% |
| Middle East AI In Medical Imaging Market Sales Revenue | xxxx | xxxx | xxxx | 34.9% |
AI In Medical Imaging Market is Segmented as below. Particular segment of your interest can be provided without any additional cost. Download the Sample Pages!
The market for artificial intelligence in medical imaging is expanding significantly due to technological breakthroughs and rising consumer demand for accurate and effective diagnostic tools. Artificial intelligence (AI) advancements in natural language processing (NLP) and sophisticated imaging are changing the medical imaging environment, improving diagnosis accuracy, and optimizing healthcare workflows. Introducing our AI-powered Medical Imaging Solution, a cutting-edge technology revolutionizing diagnostics. Leveraging advanced algorithms, it enhances image analysis, accelerates disease detection, and improves accuracy in medical imaging. This transformative product optimizes healthcare workflows, providing precise and timely insights to medical professionals for more effective patient care in the evolving landscape of diagnostic imaging. The smooth integration of AI into medical imaging procedures is greatly aided by software tools, platforms, and services, especially integration and deployment solutions. The market serves a wide range of medical applications, including digital pathology, cancer, cardiology, and neurology. It encompasses multiple imaging modalities, including CT scans, MRIs, X-rays, ultrasound imaging, and nuclear imaging. The diagnostic capabilities of AI are transforming, and key end-users that profit from this are hospitals and clinics, research laboratories, and diagnostic centers.
January 2024: Lunit AI Solutions partners with Samsung to power their X-ray devices with advanced chest screening capabilities.
AI is being used by more professionals in medical imaging because it makes problem identification faster and more accurate. AI analyzes vast amounts of data to assist physicians in deciphering intricate patterns in images of our internal organs. This aids medical professionals in providing us with timely care and more accurate diagnosis. Physicians can perform their duties more effectively, make fewer errors, and expedite our recovery by collaborating with AI. Thus, the demand for AI in medical imaging is growing since it significantly enhances the ability of medical professionals to identify and treat medical conditions.
January 2024: Qure.ai's AI-driven chest X-ray solution receives FDA clearance for enhanced lung nodule detection.
AI is helping doctors detect illnesses early. Using images of our internal organs, AI can identify minor issues that may indicate illness. This is crucial because early detection of illness allows medical professionals to treat us more quickly and potentially even at a lower cost. AI carefully examines and scans these images, assisting medical professionals in identifying minor concerns before they become major ones. When AI is used to detect illness early on, it's like having a superhero assisting medical professionals in identifying and preventing disease. For faster and more effective treatment, more physicians are collaborating with AI.
January 2024: GE HealthCare announces an agreement to acquire MIM Software, a leading provider of advanced 3D visualization and analysis software for medical imaging.
(Source: g-medtech.com/news/ge-healthcare-acquires-mim-software-to-strengthen-digital-solutions/)
Since they are averse to change and wary of utilizing new technologies, many medical practitioners are slow to use AI in medical imaging. The widespread adoption of AI tools into their regular work routines is hampered by this resistance. As a result, medical imaging adoption of AI is slowing down because healthcare practitioners are hesitant to embrace the advantages that AI could offer to their current workflows. For these technologies to be widely accepted and used effectively in the medical industry, it is imperative that we overcome this opposition and inspire healthcare professionals to recognize the potential of AI.
The use of AI in medical imaging was propelled into overdrive by COVID-19, driven by a surge in demand for rapid diagnoses and reduced radiologist workload. Despite initial hiccups in the supply chain and limitations in data, investment in AI development for COVID-19 detection was accelerated by the pandemic, resulting in major advancements in image analysis and workflow automation. This momentum is expected to be sustained, shaping a future market characterized by increased AI adoption and potential cost savings in healthcare.
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The medical imaging AI market is growing rapidly! Though startups are also making waves, major corporations like Siemens and GE are still in the lead. Lung nodules can be found with Qure.ai's AI X-ray solution, and Hyperfine is speeding up chest X-ray readings. Everyone is showcasing their skills; the person with the best technology wins! It's a close race; who will take center stage
(Source: www.itnonline.com/content/researchers-test-large-language-model-preserves-patient-privacy)
Top Companies Market Share in AI In Medical Imaging Industry: (In no particular order of Rank)
| Companies | 2022 (A) | 2023 (A) | 2024 (A) | 2025 (A) |
|---|---|---|---|---|
| Agfa-Gevaert Group | xxxx | xxxx | xxxx | xxxx |
| Ada Health | xxxx | xxxx | xxxx | xxxx |
| Enlitic Inc | xxxx | xxxx | xxxx | xxxx |
| CELLMATIQ GMBH | xxxx | xxxx | xxxx | xxxx |
| GENERAL ELECTRIC COMPANY | xxxx | xxxx | xxxx | xxxx |
| IBM | xxxx | xxxx | xxxx | xxxx |
| NVIDIA CORPORATION | xxxx | xxxx | xxxx | xxxx |
| MICROSOFT | xxxx | xxxx | xxxx | xxxx |
| KONINKLIJKE PHILIPS N.V. | xxxx | xxxx | xxxx | xxxx |
| SIEMENS | xxxx | xxxx | xxxx | xxxx |
*List of Second Tier Companies, List of Third Tier/ Start-up Companies (Inquire with sales executive)
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According to Cognitive Market Research, with a significant 40% regional share, North America demonstrates its supremacy in the AI in medical imaging industry. The region's considerable portion is explained by large expenditures, sophisticated technology integration, and an innovative healthcare ecosystem. This leading position highlights how important North America has been in determining the direction of artificial intelligence in the medical imaging sector.
The fastest-growing region is Asia-Pacific, with a remarkable CAGR of 37.2% and a 23% regional market share. A rise in awareness, the expansion of the healthcare infrastructure, and the demand for advanced medical imaging technology are the main causes of the industry's rapid growth. Asia-Pacific's impressive compound annual growth rate (CAGR) indicates that the region is positioning itself as a major player and will continue to be a driving force behind the worldwide AI in the medical imaging market.
The current report Scope analyzes AI In Medical Imaging Market on 6 major region Split (In case you wish to acquire a specific region edition (more granular data) or any country Edition data then please write us on info@cognitivemarketresearch.com
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According to Cognitive Market Research, the global Ai In Medical Imaging market size was estimated at USD 765215.2 Million, out of which North America held the major market of more than 40% of the global revenue with a market size of USD 306086.08 million in 2023 and will grow at a compound annual growth rate (CAGR) of 33.4 % from 2023 to 2030 due to the growing demand for AI in Medical Imaging products, such as advanced diagnostic tools, along with the influencer culture. Additionally, Product innovation and inclusivity also play key roles in sustaining market growth and demand.
According to Cognitive Market Research, Magnetic Resonance Imaging (MRI) emerges as a popular segment. The region's advanced healthcare infrastructure favors AI applications in MRI for precise diagnostics, treatment planning, and imaging analysis. The demand for AI integration in MRI reflects a commitment to leveraging cutting-edge technology to enhance diagnostic accuracy and patient care across diverse medical disciplines.
According to Cognitive Market Research, the global Ai In Medical Imaging market size was estimated at USD 765215.2 Million, out of which Europe held the major market of more than 30% of the global revenue with market size of USD 229564.56 million in 2023 and will grow at a compound annual growth rate (CAGR) of 33.7 % from 2023 to 2030 due to the increased demand for AI in Medical Imaging products along with the growing inclination towards advanced healthcare solutions in the country. Additionally, the adoption of AI-driven solutions for improved operational efficiency, security protocols, and customer experiences is what's driving the market expansion. According to Cognitive Market Research, Hospitals and Clinics have emerged as the popular end-use segment. The region's healthcare infrastructure, characterized by numerous hospitals and clinics, heavily invests in AI technologies for enhanced diagnostics and treatment planning. The widespread adoption of AI in these settings reflects a commitment to improving patient outcomes, streamlining workflows, and advancing medical research. Additionally, the flexibility of AI applications is evident as they extend to other facilities like Research Laboratories and Diagnostic Centers, demonstrating the diverse applications and growing significance of AI in shaping the future of medical imaging across varied healthcare environments in Europe.
According to Cognitive Market Research, the global AI in Medical Imaging market size was estimated at USD 765215.2 Million, out of which Asia-Pacific held the major market of more than 23% of the global revenue with market size of USD 175999.50 million in 2023 and will grow at a compound annual growth rate (CAGR) of 37.2 % from 2023 to 2030 due to the growing demand for AI in Medical Imaging products, such as advanced diagnostic tools, along with the influencer culture. Additionally, the nation's dedication to technological advancement and the application of AI brings a rise in the market for this region. According to Cognitive Market Research, deep learning has emerged as the dominant AI technology. The region's healthcare sector prioritizes the robust capabilities of deep learning algorithms for medical image interpretation, diagnostics, and treatment planning. This popularity stems from the technology's ability to enhance accuracy and efficiency in radiological processes, contributing to improved patient care and outcomes. As Asia-Pacific continues to advance its healthcare infrastructure, the widespread adoption of deep learning in medical imaging reflects a commitment to leveraging innovative AI technologies for the benefit of patients and the overall enhancement of healthcare services.
According to Cognitive Market Research, the global AI in Medical Imaging market size was estimated at USD 765215.2 Million, out of which Latin America held the major market of more than 5% of the global revenue with market size of USD 38260.76 million in 2023 and will grow at a compound annual growth rate (CAGR) of 34.6 % from 2023 to 2030 due to the increased demand for AI in Medical Imaging products along with the growing inclination. Additionally, a concentration on improving operating capabilities, the upgrading of aviation infrastructure, and the rise in demand for air travel are some of the causes driving the expansion. According to Cognitive Market Research, X-rays stand out as a popular modality segment. The region's healthcare landscape prioritizes the affordability and accessibility of X-ray imaging, aligning with the versatility of AI applications to enhance diagnostic capabilities. The popularity of AI in X-ray imaging underscores efforts to improve healthcare outcomes and diagnostic efficiency in Latin America, catering to the diverse medical needs of the population.
According to Cognitive Market Research, the global AI in Medical Imaging market size was estimated at USD 765215.2 Million, out of which Middle East And Africa held the major market of more than 2% of the global revenue with a market size of USD 15304.30 million in 2023 and will grow at a compound annual growth rate (CAGR) of 34.9 % from 2023 to 2030 due to by increasing tech integration, aviation expansion, and efficiency requirements.
Additionally, as these countries prioritize updating their aviation infrastructure and improving operational efficiency, they elevate the market
According to Cognitive Market Research, deep learning stands out as the favored AI technology. The region's healthcare landscape embraces advanced algorithms for precise medical image analysis, diagnostics, and treatment planning. The popularity of deep learning in medical imaging underscores the commitment to technological advancements in healthcare, aiming to enhance diagnostic accuracy and patient care. As the Middle East and Africa continue to invest in healthcare innovation, the dominance of deep learning technologies reflects a strategic approach to leverage cutting-edge AI for improved medical imaging processes and better healthcare outcomes in the region.
According to Cognitive Market Research, the GCC Countries AI In Medical Imaging market size was valued at USD 6,550.24 million in 2023 and is projected to grow at a CAGR of 35.7% during the forecast period. This is majorly due to the growing demand for AI in Medical Imaging products, such as advanced diagnostic tools, along with the influencer culture. Product innovation and inclusivity also play key roles in sustaining market growth and demand.
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Global AI In Medical Imaging Market Report 2025 Edition talks about crucial market insights with the help of segments and sub-segments analysis. In this section, we reveal an in-depth analysis of the key factors influencing AI In Medical Imaging Industry growth. AI In Medical Imaging market has been segmented with the help of its AI Technology, Application Solution, and others. AI In Medical Imaging market analysis helps to understand key industry segments, and their global, regional, and country-level insights. Furthermore, this analysis also provides information pertaining to segments that are going to be most lucrative in the near future and their expected growth rate and future market opportunities. The report also provides detailed insights into factors responsible for the positive or negative growth of each industry segment.
According to Cognitive Market Research, with its active analysis of large datasets to improve diagnostic accuracy across a range of applications, Deep Learning is the industry leader in artificial intelligence for medical imaging. Simplified processes, fewer mistakes, and better patient outcomes are all examples of its revolutionary impact.
The ability to comprehend and interpret human language is a rapidly developing field known as natural language processing (NLP), which helps with sophisticated medical data analysis and reporting. A wide range of AI applications in medical imaging are shaped by the combined contributions of several AI technologies, all of which are crucial.
The above Chart is for representative purposes and does not depict actual sale statistics. Access/Request the quantitative data to understand the trends and dominating segment of AI In Medical Imaging Industry. Request a Free Sample PDF!
According to Cognitive Market Research, With the greatest market share for AI in medical imaging, oncology uses the technology to accurately identify, diagnose, and plan therapy for cancer.
The fastest-growing use is digital pathology, which is transforming pathology procedures by using digital tissue sample analysis to provide diagnoses that are more precise. Every application area caters to distinct healthcare requirements; the market's dedication to enhancing patient outcomes and diagnostics is seen in the leadership positions held by Digital Pathology and Oncology in terms of size and growth.
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According to Cognitive Market Research, A major portion of the market is occupied by software tools and platforms, which offer the fundamental framework for integrating AI into medical imaging. These tools boost diagnostic capacities by making data analysis and interpretation more efficient.
The fastest-growing solution is in services, especially integration services, which guarantee the smooth integration of AI into current medical imaging systems for maximized workflow productivity. In order to ensure practical applicability in medical settings, deployment services continue to be essential for proper implementation.
According to Cognitive Market Research, the most comprehensive category of medical imaging modalities is CT Scan, which produces fine-grained cross-sectional pictures for a variety of uses. Because it is non-invasive and adaptable, ultrasound imaging stands out as the modality that is expanding the fastest. This is because it can meet the growing demand for better diagnostic capabilities.
While CT Scan is the industry leader, Ultrasound Imaging grows at the fastest rate, indicating its critical position in the changing medical imaging scene.
According to Cognitive Market Research, The largest end-use market is represented by hospitals and clinics, which utilize AI in medical imaging to improve patient care, diagnosis, and treatment planning. The sector with the quickest rate of growth is Research Laboratories and Diagnostic Centers, which can be attributed to an increase in research projects and a growing need for sophisticated diagnostic capabilities.
Intensive Care at Home and Ambulatory Surgical Centers are two more end-use scenarios that highlight the adaptability and versatility of AI technologies by contributing to the diverse adoption of AI in various healthcare environments.
Disclaimer:
| AI Technology | Deep Learning, Natural Language Processing (NLP), Others |
| Application | Digital Pathology, Oncology, Cardiovascular, Neurology, Lung (Respiratory System), Breast (Mammography), Liver (GI), Oral Diagnostics, Other |
| Solution | Software Tools/ Platform, Services |
| Modality | CT Scan, MRI, X-rays, Ultrasound Imaging, Nuclear Imaging |
| End Use | Hospitals and Clinics, Research Laboratories and Diagnostic Centers, Others (Ambulatory Surgical Centres Intensive care at home etc.) |
| List of Competitors | Agfa-Gevaert Group, Ada Health, Enlitic Inc, CELLMATIQ GMBH, GENERAL ELECTRIC COMPANY, IBM, NVIDIA CORPORATION, MICROSOFT, KONINKLIJKE PHILIPS N.V., SIEMENS |
Chapter 1 2026 Geopolitical Outlook - AI In Medical Imaging Market Detailed Analysis
This chapter isn't just about technology; it’s about certainty. We show you how AI is being used in leading industries so you can apply those same 'High-Speed' and 'High-Accuracy' principles to your own market strategy
Chapter 2 AI's Impact on Market - Detailed Qualitative Analysis
This chapter will help you gain GLOBAL Market Analysis of AI In Medical Imaging. Further deep in this chapter, you will be able to review Global AI In Medical Imaging Market Split by various segments and Geographical Split.
Chapter 3 Global Market Analysis
Global Market has been segmented on the basis 5 major regions such as North America, Europe, Asia-Pacific, Middle East & Africa, and Latin America.
You can purchase only the Executive Summary of Global Market (2019 vs 2024 vs 2031)
Global Market Dynamics, Trends, Drivers, Restraints, Opportunities, Only Pointers will be deliverable
This chapter will help you gain North America Market Analysis of AI In Medical Imaging. Further deep in this chapter, you will be able to review North America AI In Medical Imaging Market Split by various segments and Country Split.
Chapter 4 North America Market Analysis
This chapter will help you gain Europe Market Analysis of AI In Medical Imaging. Further deep in this chapter, you will be able to review Europe AI In Medical Imaging Market Split by various segments and Country Split.
Chapter 5 Europe Market Analysis
This chapter will help you gain Asia Pacific Market Analysis of AI In Medical Imaging. Further deep in this chapter, you will be able to review Asia Pacific AI In Medical Imaging Market Split by various segments and Country Split.
Chapter 6 Asia Pacific Market Analysis
This chapter will help you gain South America Market Analysis of AI In Medical Imaging. Further deep in this chapter, you will be able to review South America AI In Medical Imaging Market Split by various segments and Country Split.
Chapter 7 South America Market Analysis
This chapter will help you gain Middle East Market Analysis of AI In Medical Imaging. Further deep in this chapter, you will be able to review Middle East AI In Medical Imaging Market Split by various segments and Country Split.
Chapter 8 Middle East Market Analysis
This chapter will help you gain Middle East Market Analysis of AI In Medical Imaging. Further deep in this chapter, you will be able to review Middle East AI In Medical Imaging Market Split by various segments and Country Split.
Chapter 9 Africa Market Analysis
This chapter provides an in-depth analysis of the market share among key competitors of AI In Medical Imaging. The analysis highlights each competitor's position in the market, growth trends, and financial performance, offering insights into competitive dynamics, and emerging players.
Chapter 10 Competitor Analysis (Subject to Data Availability (Private Players))
(Subject to Data Availability (Private Players))
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
This chapter would comprehensively cover market drivers, trends, restraints, opportunities, and various in-depth analyses like industrial chain, PESTEL, Porter’s Five Forces, and ESG, among others. It would also include product life cycle, technological advancements, and patent insights.
Chapter 11 Qualitative Analysis (Subject to Data Availability)
Segmentation AI Technology Analysis 2019 -2031, will provide market size split by AI Technology. This Information is provided at Global Level, Regional Level and Top Countries Level The report with the segmentation perspective mentioned under this chapters will be delivered to you On Demand. So please let us know if you would like to receive this additional data as well. No additional cost will be applicable for the same.
Chapter 12 Market Split by AI Technology Analysis 2022 - 2034
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Chapter 13 Market Split by Application Analysis 2022 - 2034
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Chapter 14 Market Split by Solution Analysis 2022 - 2034
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Chapter 15 Market Split by Modality Analysis 2022 - 2034
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Chapter 16 Market Split by End Use Analysis 2022 - 2034
Chapter 17 AI In Medical Imaging Price Trend Analysis
Chapter 18 AI In Medical Imaging Import/Export Analysis
Chapter 19 AI In Medical Imaging Production Analysis
Chapter 20 Gap Analysis
Chapter 21 Strategy Analysis
Chapter 22 Profitability and Gross Margin Analysis
Chapter 23 TAM Analysis
This chapter helps you understand the Key Takeaways and Analyst Point of View of the global AI In Medical Imaging market
Chapter 24 Research Findings
Here the analyst will summarize the content of entire report and will share his view point on the current industry scenario and how the market is expected to perform in the near future. The points shared by the analyst are based on his/her detailed in-depth understanding of the market during the course of this report study. You will be provided exclusive rights to interact with the concerned analyst for unlimited time pre purchase as well as post purchase of the report.
Chapter 25 Research Methodology and Sources
1 Data Gathering
2 Data Validation
3 Data Presentation
To maintain the integrity of our proprietary methodology and protect our elite expert network, specific source disclosures are reserved for our full-access partners. Our research framework is anchored by a 70:30 primary-to-secondary ratio, ensuring your strategy is driven by real-time market intelligence rather than recycled, publicly available, or AI-generated data. Every deliverable includes an exhaustive source directory and grants your team direct access to our lead analysts for bespoke strategic consultation.