The Global AI in Medical Imaging Market was valued at USD 1.72 billion in 2022 and is projected to reach USD 14.9 billion by 2029, growing at a CAGR of 36.07 % during the forecast period. The global AI (Artificial Intelligence) in medical imaging market is growing, with an increased adoption of AI technology in various aspects of medical imaging. This market involves the integration of artificial intelligence algorithms and techniques into medical imaging systems, such as X-ray, MRI, CT scans, ultrasound and others. These AI-powered solutions are designed to enhance the accuracy, efficiency and diagnostic capabilities of medical imaging leading to improved patient care and outcomes. A number of reasons, including the expanding demand for precise and effective diagnostic tools, the prevalence of chronic diseases, and the need for personalised therapy have an impact on the industry. By quickly analysing huge amounts of medical data, AI in the medical imaging sector has the potential to streamline workflow procedures, help with early disease detection, and aid in treatment planning. With the help of this technology radiologists and other healthcare professionals may make smarter decisions that will improve patient care and lower expenses. The availability of massive datasets along with improvements in AI algorithms and deep learning techniques are accelerating the growth of this business. To analyse medical images and extract pertinent data for automated and accurate interpretations, machine learning algorithms and neural networks are being developed. As it helps with image interpretation and offers decision support, the integration of AI in medical imaging market systems is anticipated to solve the dearth of qualified radiologists in some areas. North America and Europe currently dominate the global AI in medical imaging market, owing to their advanced healthcare infrastructure, significant investments in research and development and strong presence of key industry players. The market is projected to witness substantial growth in the Asia-Pacific region. This is attributed to the increasing healthcare expenditure, rising adoption of digital healthcare solutions and the need for improved diagnostic capabilities in developing countries. Government initiatives and collaborations between healthcare organizations and technology providers are further propelling the market growth. The implementation of AI algorithms and techniques into medical imaging systems has the potential to revolutionize healthcare by enabling earlier detection, precise diagnoses and more personalized treatment approaches.To know about the Research Methodology :- Request Free Sample Report Market Drivers for AI in Medical Imaging Market: Growing Demand for Accurate and Efficient Diagnostics: The increasing occurrence chronic diseases, such as cancer and cardiovascular disorders, has created a significant demand for accurate and efficient diagnostic tools. AI in medical imaging market offers the potential to improve the speed and accuracy of diagnoses by analyzing complex medical images and identifying subtle abnormalities that may be overlooked by humans. The technology has the ability to enhance the sensitivity and specificity of medical imaging, enabling early disease detection and facilitating timely interventions for improved patient outcomes. Advancements in AI Algorithms and Deep Learning Techniques: Rapid advancements in AI algorithms and deep learning techniques have pushed for the growth of AI in medical imaging market. Machine learning models and neural networks are being developed to analyze large datasets of medical images allowing for automated and precise interpretations. These algorithms learn from vast amounts of data, enabling continuous improvement in accuracy and performance. The development of sophisticated AI models has the potential to transform medical imaging by providing radiologists and clinicians with valuable insights, aiding in treatment planning and reducing diagnostic errors. Opportunities for AI in Medical Imaging: The integration of AI in medical imaging systems presents opportunities for improved workflow efficiency and increased productivity in healthcare facilities. AI algorithms automate repetitive tasks, such as image analysis and annotation, allowing radiologists and clinicians to focus on more complex cases. AI-powered systems also facilitate seamless integration with electronic health records (EHRs) and picture archiving and communication systems (PACS), enabling streamlined data management and retrieval. AI in medical imaging market offers personalized medicine and treatment planning. Medical images are analyzed in a comprehensive and quantitative manner, providing clinicians with valuable insights into individual patient characteristics. This enables the development of tailored treatment plans based on the unique needs and characteristics of each patient. AI-powered systems assist in predicting treatment response, assessing disease progression and optimizing therapeutic strategies, leading to more effective and personalized patient care. Restraints for AI in Medical Imaging: The use of sensitive medical data gives rise to privacy and security concerns. To preserve the confidentiality and safety of patient information, certain regulations and processes must be followed. The widespread deployment of AI in the medical imaging business could be hampered by data breaches or unauthorised access to patient data. For market participants, finding a balance between data accessibility and privacy will be a major difficulty. Regulations and legal standards must be met for AI to be used in medical imaging. The creation and implementation of AI algorithms for medical applications must adhere to strict guidelines, such as those established by governing organisations and medical device authorities. The swift integration of AI in medical imaging market systems is hampered by the difficult and time-consuming process of securing regulatory approvals and guaranteeing compliance. The rapidly changing nature of AI technology makes it difficult for regulators to keep up with developments and create rules that guarantee patient safety and efficacy.
Challenges for AI in Medical Imaging Market:
A major challenge in AI in medical imaging market is the interpretability and explainability of AI algorithms. Deep learning models, which are commonly used in medical imaging, operate as black boxes, making it difficult to understand the underlying reasoning behind their predictions. This lack of interpretation hinders the trust and acceptance of AI systems by healthcare professionals. Efforts are made to develop explainable AI models that provide clinicians with insights into how decisions are reached enabling them to validate and understand the recommendations made by AI algorithms. Integrating AI technology into existing medical imaging infrastructure is challenging. Healthcare facilities often have legacy systems and diverse imaging devices that may not be compatible with AI algorithms or require significant modifications for seamless integration. Developing interoperability standards and ensuring compatibility between AI solutions and existing infrastructure pose technical challenges.Market Trends for AI in Medical Imaging Market:
Recognizing the potential of AI in improving diagnostic accuracy and patient outcomes, healthcare organizations are partnering with AI companies to integrate their solutions into existing medical imaging workflows. These collaborations enable the development of customized AI algorithms tailored to specific clinical needs and facilitate the seamless integration of AI technology into healthcare settings. Computer vision techniques enable AI algorithms to analyze medical images with higher precision, detecting and characterizing abnormalities more accurately. Natural language processing capabilities enhance the extraction of valuable information from radiology reports, allowing AI systems to integrate textual data with image analysis for comprehensive diagnostics. Edge computing enables the processing and analysis of medical images directly at the point of acquisition, reducing latency and enabling real-time decision-making. This trend is particularly beneficial in time-sensitive scenarios, such as emergency radiology. Additionally, cloud-based solutions offer scalability, flexibility and centralized data storage for AI-powered medical imaging systems. Cloud platforms facilitate seamless collaboration and sharing of AI models, enabling access to advanced AI capabilities across multiple healthcare facilities. AI algorithms are being developed to assist in the detection and characterization of specific pathologies, aid in treatment planning and monitor disease progression in subspecialties of medical imaging, such as oncology, neurology and cardiology. The utilization of AI in subspecialties allows for more targeted and specialized diagnostic capabilities, enhancing the accuracy and precision of medical imaging in specific clinical domains. This trend is driven by the need for specialized expertise and the potential for improved patient outcomes in subspecialty areas.Segmentation of the AI in Medical Imaging Market:
By Imaging Modality: This segmentation divides the market based on the different types of imaging modalities that incorporate AI technology, such as X-ray, MRI, CT scans, ultrasound and others. Each modality presents unique challenges and opportunities for AI integration and understanding the market dynamics within specific imaging modalities provide insights into the adoption and growth potential of AI in each segment. By Technology: This segmentation focuses on the different AI technologies used in medical imaging, including machine learning, deep learning, natural language processing, computer vision and others. Each technology offers distinct capabilities and applications within medical imaging and analyzing the market by technology help identify trends and opportunities specific to each AI approach. By Application: This segmentation classifies the market based on the applications of AI in medical imaging, such as oncology, neurology, cardiology, radiology and others. Different medical specialties and subspecialties have specific imaging requirements and diagnostic challenges and understanding the application-specific market dynamics reveal the potential for AI adoption in each domain. By End User: This segmentation categorizes the market based on the end users of AI in medical imaging market, including hospitals, diagnostic centers, research institutionsand others. Analyzing the market by end user helps identify the key stakeholders and their specific needs and preferences, providing insights into the adoption patterns and growth potential in different healthcare settings. By Imaging Mode: This segmentation categorizes the market based on the deployment models of AI in medical imaging market, such as cloud-based solutions, on-premises installations and hybrid models. Each deployment model offers unique advantages and considerations and understanding the preferences and adoption trends within different deployment models provide insights into market dynamics and customer preferences. Segmenting the market based on applications allows companies to focus on specific medical specialties and tailor their AI solutions accordingly as each specialty has unique imaging requirements, diagnostic challenges and potential for AI integration. By developing specialized AI algorithms and solutions for these applications, companies cater to the specific needs of healthcare providers, improve diagnostic accuracy and enhance patient outcomes. The application-based segmentation aligns with the evolving trends and demands in healthcare, where specialists require advanced imaging technologies and AI support for accurate and efficient diagnoses. It also enables companies to position themselves as domain experts in specific medical fields and build strong relationships with healthcare providers within those specialties.Regional Analysis of the AI in Medical Imaging Market:
North America holds a significant share in the AI in medical imaging market. The region is characterized by a well-established healthcare infrastructure, advanced research and development capabilitiesand high levels of investment in medical technologies. The presence of major market players and academic institutions driving AI innovation contributes to the market's growth. Moreover, favorable government initiatives, such as increased funding for research and development in healthcare and AI, further propel the market in this region. Europe is another prominent region in the AI in medical imaging market. It exhibits strong market growth due to the region's well-developed healthcare systems, robust investment in medical researchand a focus on technological advancements. European countries emphasize patient-centric care, which encourages the adoption of AI technology in medical imaging to enhance diagnostic accuracy and improve patient outcomes. Additionally, supportive regulatory frameworks and collaborations between industry stakeholders and research organizations contribute to market growth in this region. The Asia-Pacific region presents significant growth potential for the AI in medical imaging market. Rapidly developing economies, such as China, Indiaand Japan, are witnessing increased healthcare expenditure, technological advancementsand a rising demand for advanced medical imaging solutions. The region is witnessing a growing focus on AI integration in healthcare to address healthcare challenges and improve patient care. Furthermore, collaborations between regional governments, healthcare institutions and AI technology providers are driving the adoption of AI in medical imaging market in the Asia-Pacific region. Latin America is an emerging market by improving healthcare infrastructure, growing healthcare expenditure and a rising demand for advanced diagnostic tools. Government initiatives aimed at enhancing healthcare services and digital transformation in healthcare are contributing to the adoption of AI in medical imaging market. While the market is still developing, there are ample growth opportunities in this region, especially in countries like Brazil and Mexico, which are witnessing increased investments in healthcare technologies. The Middle East & Africa region is gradually embracing AI technology in medical imaging. Governments in the region are investing in healthcare infrastructure and promoting advanced healthcare technologies. The market growth is influenced by the rising prevalence of chronic diseases, increasing demand for advanced diagnostic tools and the adoption of digital healthcare solutions. Although the market is relatively nascent, collaborations between regional and international companies, along with government initiatives, are expected to drive the growth of AI in medical imaging in the Middle East & Africa region.Competitive Analysis of the AI in Medical Imaging Market:
AI in medical imaging market is a competitive landscape with a mix of established players, emerging companies and technological innovators. A comprehensive competitive analysis provides valuable insights into the market structure, the level of competition and key strategies adopted by players in the industry. The market structure of the AI in medical imaging industry is evolving and dynamic. Established companies with expertise in medical imaging technologies, such as GE Healthcare, Siemens Healthineers And Philips Healthcare, have made significant investments in AI research and development. These companies leverage their brand reputation, extensive distribution network and strong relationships with healthcare providers to gain a competitive edge. In addition, there is a presence of specialized AI companies, startups and research institutions that focus on developing AI algorithms and solutions specifically for medical imaging applications. The AI in medical imaging market is driven by continuous technological innovation. Companies are investing in research and development to improve AI algorithms, enhance image analysis capabilities and develop advanced AI-powered diagnostic tools. Startups and research institutions are also actively contributing to technological advancements in the field.Collaborations between technology providers, research organizations and healthcare institutions are fostering innovation, leading to the development of novel AI applications in medical imaging. Intellectual property plays a crucial role in the competitive landscape of the AI in medical imaging market. Companies invest in patent filings to protect their innovative AI algorithms, imaging techniques and diagnostic solutions. Holding strong patents provide a competitive advantage by preventing competitors from using similar technologies or requiring licensing agreements for their use. Companies with a robust portfolio of patents in AI and medical imaging have a stronger position in the market. The AI in medical imaging market presents both opportunities and barriers to new entrants. While advancements in AI technology have lowered the entry barrier to some extent, establishing credibility, acquiring specialized expertise and accessing large and diverse datasets remain challenges for new entrants. Moreover, complying with regulatory requirements, obtaining necessary certifications and gaining trust from healthcare providers is time-consuming and resource-intensive. Established players with a strong market presence and established relationships with healthcare institutions have an advantage in terms of trust, customer base and distribution networks.AI in Medical Imaging Market Scope: Inquire before buying
AI in Medical Imaging Market Report Coverage Details Base Year: 2022 Forecast Period: 2023-2029 Historical Data: 2017 to 2022 Market Size in 2022: USD 1.72 Bn. Forecast Period 2023 to 2029 CAGR: 36.07 % Market Size in 2029: USD 14.9 Bn. Segments Covered: by Imaging Mode X-ray MRI(Magnetic Resonance Imaging) Computed Tomography scans Ultrasound Imaging Others by Technology Machine Learning Natural Language Processing Others by Application Oncology Neurology Cardiology Radiology Others by End-User Hospitals Diagnostic Centers Research Institutions by Deployment Mode On-Premise Cloud Based AI in Medical Imaging Market, by Region
North America (United States, Canada and Mexico) Europe (UK, France, Germany, Italy, Spain, Sweden, Austria and Rest of Europe) Asia Pacific (China, South Korea, Japan, India, Australia, Indonesia, Malaysia, Vietnam, Taiwan, Bangladesh, Pakistan and Rest of APAC) Middle East and Africa (South Africa, GCC, Egypt, Nigeria and Rest of ME&A) South America (Brazil, Argetina and Rest of South America)Key Players in the AI in Medical Imaging Market:
1. North America: 2. GE Healthcare (United States) 3. IBM Watson Health (United States) 4. NVIDIA Corporation (United States) 5. Aidoc (United States) 6. Butterfly Network (United States) 7. Europe: 8. Siemens Healthineers (Germany) 9. Philips Healthcare (Netherlands) 10. Sectra AB (Sweden) 11. Agfa-Gevaert Group (Belgium) 12. Zebra Medical Vision (Israel) 13. Asia Pacific: 14. Canon Medical Systems Corporation (Japan) 15. Ping An Healthcare and Technology Company Limited (China) 16. Infervision (China) 17. Carestream Health (United States, with a strong presence in Asia Pacific) 18. Huiying Medical Technology Co., Ltd. (China) 19. Latin America: 20. Grupo Fleury (Brazil) 21. Hospital Alemão Oswaldo Cruz (Brazil) 22. Inbrain Neuroelectronics (Spain, with operations in Latin America) 23. Inova (Mexico) 24. Radiologia Integrada (Chile) 25. Middle East and Africa: 26. AIDoc Medical (Israel) 27. AlemHealth (United Arab Emirates) 28. Quantib (South Africa) 29. Mirai Medical (South Africa) FAQs: 1. What are the growth drivers for the Medical Imaging Market? Ans. The need for efficient and accurate diagnostic tools, the rising prevalence of chronic diseases are the major drivers for the AI in Medical Imaging Market . 2. What is the major restraint for the AI in Medical Imaging Market growth? Ans. Privacy and data security concerns and regulatory compliance are a major restraining factor for the AI in Medical Imaging Market growth. 3. Which region is expected to lead the global AI in Medical Imaging Market during the forecast period? Ans. North America and Europe are expected to lead the global AI in Medical Imaging Market during the forecast period with Asia Pacific to be the fastest growing region of the market. 4. What is the projected market size & growth rate of the Medical Imaging Market? Ans. The AI in Medical Imaging Market size was valued at USD 1.72 Bn. in 2022 and the total revenue is expected to grow at a CAGR of 36.07% from 2022 to 2029, reaching nearly USD 14.9 Billion. 5. What segments are covered in the AI in Medical Imaging Market report? Ans. The segments covered in the AI in Medical Imaging Market report are Deployment type, Imaging type, technology used, application, end user.
1. AI in Medical Imaging Market Introduction 1.1. Study Assumption and Market Definition 1.2. Scope of the Study 1.3. Executive Summary 2. AI in Medical Imaging Market: Dynamics 2.1. AI in Medical Imaging Market Trends 2.2. AI in Medical Imaging Market Dynamic 2.2.1.1. AI in Medical Imaging Market Drivers 2.2.1.2. AI in Medical Imaging Market Restraints 2.2.1.3. AI in Medical Imaging Market Opportunities 2.2.1.4. AI in Medical Imaging Market Challenges 2.3. PORTER’s Five Forces Analysis 2.4. PESTLE Analysis 2.5. Technology Roadmap for AI in Medical Imagine 2.6. Regulatory Landscape by Region 2.7. Key Opinion Leader Analysis for AI in Medical Imaging Industry 2.8. Analysis of Government Schemes and Initiatives for AI in Medical Imaging Industry 2.9. AI in Medical Imaging Market Trade Analysis 2.10. The Global Pandemic Impact on AI in Medical Imaging Market 2.11. AI Technologies in Medical Imaging 2.11.1. Impact of Quantum Computing 2.11.2. Explainable AI in Medical Diagnostics 2.11.3. Integration of Robotics in Imaging Processes 2.11.4. AI-Generated Synthetic Data for Training Models 2.12. Clinical Validation and Use Cases 2.12.1. AI in Personalized Medicine 2.12.2. Predictive Analytics for Disease Prevention 2.12.3. Enhancing Radiologist Workflow Efficiency 3. AI in Medical Imaging Market: Global Market Size and Forecast by Segmentation by Demand and Supply Side (by Value in USD Million) 2022-2029 3.1. AI in Medical Imaging Market Size and Forecast, by Imaging Mode (2022-2029) 3.1.1.1. X-ray 3.1.1.2. MRI(Magnetic Resonance Imaging) 3.1.1.3. Computed Tomography scans 3.1.1.4. Ultrasound Imaging 3.1.1.5. Others 3.2. AI in Medical Imaging Market Size and Forecast, by Technology (2022-2029) 3.2.1.1. Machine Learning 3.2.1.2. Natural Language Processing 3.2.1.3. Others 3.3. AI in Medical Imaging Market Size and Forecast, by Application (2022-2029) 3.3.1.1. Oncology 3.3.1.2. Neurology 3.3.1.3. Cardiology 3.3.1.4. Radiology 3.3.1.5. Others 3.4. AI in Medical Imaging Market Size and Forecast, by End-User (2022-2029) 3.4.1.1. Hospitals 3.4.1.2. Diagnostic Centers 3.4.1.3. Research Institutions 3.5. AI in Medical Imaging Market Size and Forecast, by Deployment Mode (2022-2029) 3.5.1.1. On-Premise 3.5.1.2. Cloud Based 3.6. AI in Medical Imaging Market Size and Forecast, by region (2022-2029) 3.6.1.1. North America 3.6.1.2. Europe 3.6.1.3. Asia Pacific 3.6.1.4. Middle East and Africa 3.6.1.5. South America 4. North America AI in Medical Imaging Market Size and Forecast by Segmentation (by Value in USD Million) 2022-2029 4.1. North America AI in Medical Imaging Market Size and Forecast, by Imaging Mode (2022-2029) 4.1.1.1. X-ray 4.1.1.2. MRI(Magnetic Resonance Imaging) 4.1.1.3. Computed Tomography scans 4.1.1.4. Ultrasound Imaging 4.1.1.5. Others 4.2. North America AI in Medical Imaging Market Size and Forecast, by Technology (2022-2029) 4.2.1.1. Machine Learning 4.2.1.2. Natural Language Processing 4.2.1.3. Others 4.3. North America AI in Medical Imaging Market Size and Forecast, by Application (2022-2029) 4.3.1.1. Oncology 4.3.1.2. Neurology 4.3.1.3. Cardiology 4.3.1.4. Radiology 4.3.1.5. Others 4.4. North America AI in Medical Imaging Market Size and Forecast, by End-User (2022-2029) 4.4.1.1. Hospitals 4.4.1.2. Diagnostic Centers 4.4.1.3. Research Institutions 4.5. North America AI in Medical Imaging Market Size and Forecast, by Deployment Mode (2022-2029) 4.5.1.1. On-Premise 4.5.1.2. Cloud Based 4.6. North America AI in Medical Imaging Market Size and Forecast, by Country (2022-2029) 4.6.1. United States 4.6.1.1. United States AI in Medical Imaging Market Size and Forecast, by Imaging Mode (2022-2029) 4.6.1.1.1. X-ray 4.6.1.1.2. MRI(Magnetic Resonance Imaging) 4.6.1.1.3. Computed Tomography scans 4.6.1.1.4. Ultrasound Imaging 4.6.1.1.5. Others 4.6.1.2. United States AI in Medical Imaging Market Size and Forecast, by Technology (2022-2029) 4.6.1.2.1. Machine Learning 4.6.1.2.2. Natural Language Processing 4.6.1.2.3. Others 4.6.1.3. United States AI in Medical Imaging Market Size and Forecast, by Application (2022-2029) 4.6.1.3.1. Oncology 4.6.1.3.2. Neurology 4.6.1.3.3. Cardiology 4.6.1.3.4. Radiology 4.6.1.3.5. Others 4.6.1.4. United States AI in Medical Imaging Market Size and Forecast, by End-User (2022-2029) 4.6.1.4.1. Hospitals 4.6.1.4.2. Diagnostic Centers 4.6.1.4.3. Research Institutions 4.6.1.5. United States AI in Medical Imaging Market Size and Forecast, by Deployment Mode (2022-2029) 4.6.1.5.1. On-Premise 4.6.1.5.2. Cloud Based 4.6.2. Canada 4.6.2.1. Canada AI in Medical Imaging Market Size and Forecast, by Imaging Mode (2022-2029) 4.6.2.1.1. X-ray 4.6.2.1.2. MRI(Magnetic Resonance Imaging) 4.6.2.1.3. Computed Tomography scans 4.6.2.1.4. Ultrasound Imaging 4.6.2.1.5. Others 4.6.2.2. Canada AI in Medical Imaging Market Size and Forecast, by Technology (2022-2029) 4.6.2.2.1. Machine Learning 4.6.2.2.2. Natural Language Processing 4.6.2.2.3. Others 4.6.2.3. Canada AI in Medical Imaging Market Size and Forecast, by Application (2022-2029) 4.6.2.3.1. Oncology 4.6.2.3.2. Neurology 4.6.2.3.3. Cardiology 4.6.2.3.4. Radiology 4.6.2.3.5. Others 4.6.2.4. Canada AI in Medical Imaging Market Size and Forecast, by End-User (2022-2029) 4.6.2.4.1. Hospitals 4.6.2.4.2. Diagnostic Centers 4.6.2.4.3. Research Institutions 4.6.2.5. Canada AI in Medical Imaging Market Size and Forecast, by Deployment Mode (2022-2029) 4.6.2.5.1. On-Premise 4.6.2.5.2. Cloud Based 4.6.3. Mexico 4.6.3.1. Mexico AI in Medical Imaging Market Size and Forecast, by Imaging Mode (2022-2029) 4.6.3.1.1. X-ray 4.6.3.1.2. MRI(Magnetic Resonance Imaging) 4.6.3.1.3. Computed Tomography scans 4.6.3.1.4. Ultrasound Imaging 4.6.3.1.5. Others 4.6.3.2. Mexico AI in Medical Imaging Market Size and Forecast, by Technology (2022-2029) 4.6.3.2.1. Machine Learning 4.6.3.2.2. Natural Language Processing 4.6.3.2.3. Others 4.6.3.3. Mexico AI in Medical Imaging Market Size and Forecast, by Application (2022-2029) 4.6.3.3.1. Oncology 4.6.3.3.2. Neurology 4.6.3.3.3. Cardiology 4.6.3.3.4. Radiology 4.6.3.3.5. Others 4.6.3.4. Mexico AI in Medical Imaging Market Size and Forecast, by End-User (2022-2029) 4.6.3.4.1. Hospitals 4.6.3.4.2. Diagnostic Centers 4.6.3.4.3. Research Institutions 4.6.3.5. Mexico AI in Medical Imaging Market Size and Forecast, by Deployment Mode (2022-2029) 4.6.3.5.1. On-Premise 4.6.3.5.2. Cloud Based 5. Europe AI in Medical Imaging Market Size and Forecast by Segmentation (by Value in USD Million) 2022-2029 5.1. Europe AI in Medical Imaging Market Size and Forecast, by Imaging Mode (2022-2029) 5.2. Europe AI in Medical Imaging Market Size and Forecast, by Technology (2022-2029) 5.3. Europe AI in Medical Imaging Market Size and Forecast, by Application (2022-2029) 5.4. Europe AI in Medical Imaging Market Size and Forecast, by End-User (2022-2029) 5.5. Europe AI in Medical Imaging Market Size and Forecast, by Deployment Mode (2022-2029) 5.6. Europe AI in Medical Imaging Market Size and Forecast, by Country (2022-2029) 5.6.1. United Kingdom 5.6.1.1. United Kingdom AI in Medical Imaging Market Size and Forecast, by Imaging Mode (2022-2029) 5.6.1.2. United Kingdom AI in Medical Imaging Market Size and Forecast, by Technology (2022-2029) 5.6.1.3. United Kingdom AI in Medical Imaging Market Size and Forecast, by Application(2022-2029) 5.6.1.4. United Kingdom AI in Medical Imaging Market Size and Forecast, by End-User (2022-2029) 5.6.1.5. United Kingdom AI in Medical Imaging Market Size and Forecast, by Deployment Mode (2022-2029) 5.6.2. France 5.6.2.1. France AI in Medical Imaging Market Size and Forecast, by Imaging Mode (2022-2029) 5.6.2.2. France AI in Medical Imaging Market Size and Forecast, by Technology (2022-2029) 5.6.2.3. France AI in Medical Imaging Market Size and Forecast, by Application(2022-2029) 5.6.2.4. France AI in Medical Imaging Market Size and Forecast, by End-User (2022-2029) 5.6.2.5. France AI in Medical Imaging Market Size and Forecast, by Deployment Mode (2022-2029) 5.6.3. Germany 5.6.3.1. Germany AI in Medical Imaging Market Size and Forecast, by Imaging Mode (2022-2029) 5.6.3.2. Germany AI in Medical Imaging Market Size and Forecast, by Technology (2022-2029) 5.6.3.3. Germany AI in Medical Imaging Market Size and Forecast, by Application (2022-2029) 5.6.3.4. Germany AI in Medical Imaging Market Size and Forecast, by End-User (2022-2029) 5.6.3.5. Germany AI in Medical Imaging Market Size and Forecast, by Deployment Mode (2022-2029) 5.6.4. Italy 5.6.4.1. Italy AI in Medical Imaging Market Size and Forecast, by Imaging Mode (2022-2029) 5.6.4.2. Italy AI in Medical Imaging Market Size and Forecast, by Technology (2022-2029) 5.6.4.3. Italy AI in Medical Imaging Market Size and Forecast, by Application(2022-2029) 5.6.4.4. Italy AI in Medical Imaging Market Size and Forecast, by End-User (2022-2029) 5.6.4.5. Italy AI in Medical Imaging Market Size and Forecast, by Deployment Mode (2022-2029) 5.6.5. Spain 5.6.5.1. Spain AI in Medical Imaging Market Size and Forecast, by Imaging Mode (2022-2029) 5.6.5.2. Spain AI in Medical Imaging Market Size and Forecast, by Technology (2022-2029) 5.6.5.3. Spain AI in Medical Imaging Market Size and Forecast, by Application (2022-2029) 5.6.5.4. Spain AI in Medical Imaging Market Size and Forecast, by End-User (2022-2029) 5.6.5.5. Spain AI in Medical Imaging Market Size and Forecast, by Deployment Mode (2022-2029) 5.6.6. Sweden 5.6.6.1. Sweden AI in Medical Imaging Market Size and Forecast, by Imaging Mode (2022-2029) 5.6.6.2. Sweden AI in Medical Imaging Market Size and Forecast, by Technology (2022-2029) 5.6.6.3. Sweden AI in Medical Imaging Market Size and Forecast, by Application (2022-2029) 5.6.6.4. Sweden AI in Medical Imaging Market Size and Forecast, by End-User (2022-2029) 5.6.6.5. Sweden AI in Medical Imaging Market Size and Forecast, by Deployment Mode (2022-2029) 5.6.7. Austria 5.6.7.1. Austria AI in Medical Imaging Market Size and Forecast, by Imaging Mode (2022-2029) 5.6.7.2. Austria AI in Medical Imaging Market Size and Forecast, by Technology (2022-2029) 5.6.7.3. Austria AI in Medical Imaging Market Size and Forecast, by Application (2022-2029) 5.6.7.4. Austria AI in Medical Imaging Market Size and Forecast, by End-User (2022-2029) 5.6.7.5. Austria AI in Medical Imaging Market Size and Forecast, by Deployment Mode (2022-2029) 5.6.8. Rest of Europe 5.6.8.1. Rest of Europe AI in Medical Imaging Market Size and Forecast, by Imaging Mode (2022-2029) 5.6.8.2. Rest of Europe AI in Medical Imaging Market Size and Forecast, by Technology (2022-2029) 5.6.8.3. Rest of Europe AI in Medical Imaging Market Size and Forecast, by Application (2022-2029) 5.6.8.4. Rest of Europe AI in Medical Imaging Market Size and Forecast, by End-User (2022-2029) 5.6.8.5. Rest of Europe AI in Medical Imaging Market Size and Forecast, by Deployment Mode (2022-2029) 6. Asia Pacific AI in Medical Imaging Market Size and Forecast by Segmentation (by Value in USD Million) 2022-2029 6.1. Asia Pacific AI in Medical Imaging Market Size and Forecast, by Imaging Mode (2022-2029) 6.2. Asia Pacific AI in Medical Imaging Market Size and Forecast, by Technology (2022-2029) 6.3. Asia Pacific AI in Medical Imaging Market Size and Forecast, by Application (2022-2029) 6.4. Asia Pacific AI in Medical Imaging Market Size and Forecast, by End-User (2022-2029) 6.5. Asia Pacific AI in Medical Imaging Market Size and Forecast, by Deployment Mode (2022-2029) 6.6. Asia Pacific AI in Medical Imaging Market Size and Forecast, by Country (2022-2029) 6.6.1. China 6.6.1.1. China AI in Medical Imaging Market Size and Forecast, by Imaging Mode (2022-2029) 6.6.1.2. China AI in Medical Imaging Market Size and Forecast, by Technology (2022-2029) 6.6.1.3. China AI in Medical Imaging Market Size and Forecast, by Application (2022-2029) 6.6.1.4. China AI in Medical Imaging Market Size and Forecast, by End-User (2022-2029) 6.6.1.5. China AI in Medical Imaging Market Size and Forecast, by Deployment Mode (2022-2029) 6.6.2. S Korea 6.6.2.1. S Korea AI in Medical Imaging Market Size and Forecast, by Imaging Mode (2022-2029) 6.6.2.2. S Korea AI in Medical Imaging Market Size and Forecast, by Technology (2022-2029) 6.6.2.3. S Korea AI in Medical Imaging Market Size and Forecast, by Application (2022-2029) 6.6.2.4. S Korea AI in Medical Imaging Market Size and Forecast, by End-User (2022-2029) 6.6.2.5. S Korea AI in Medical Imaging Market Size and Forecast, by Deployment Mode (2022-2029) 6.6.3. Japan 6.6.3.1. Japan AI in Medical Imaging Market Size and Forecast, by Imaging Mode (2022-2029) 6.6.3.2. Japan AI in Medical Imaging Market Size and Forecast, by Technology (2022-2029) 6.6.3.3. Japan AI in Medical Imaging Market Size and Forecast, by Application (2022-2029) 6.6.3.4. Japan AI in Medical Imaging Market Size and Forecast, by End-User (2022-2029) 6.6.3.5. Japan AI in Medical Imaging Market Size and Forecast, by Deployment Mode (2022-2029) 6.6.4. India 6.6.4.1. India AI in Medical Imaging Market Size and Forecast, by Imaging Mode (2022-2029) 6.6.4.2. India AI in Medical Imaging Market Size and Forecast, by Technology (2022-2029) 6.6.4.3. India AI in Medical Imaging Market Size and Forecast, by Application (2022-2029) 6.6.4.4. India AI in Medical Imaging Market Size and Forecast, by End-User (2022-2029) 6.6.4.5. India AI in Medical Imaging Market Size and Forecast, by Deployment Mode (2022-2029) 6.6.5. Australia 6.6.5.1. Australia AI in Medical Imaging Market Size and Forecast, by Imaging Mode (2022-2029) 6.6.5.2. Australia AI in Medical Imaging Market Size and Forecast, by Technology (2022-2029) 6.6.5.3. Australia AI in Medical Imaging Market Size and Forecast, by Application (2022-2029) 6.6.5.4. Australia AI in Medical Imaging Market Size and Forecast, by End-User (2022-2029) 6.6.5.5. Australia AI in Medical Imaging Market Size and Forecast, by Deployment Mode (2022-2029) 6.6.6. Indonesia 6.6.6.1. Indonesia AI in Medical Imaging Market Size and Forecast, by Imaging Mode (2022-2029) 6.6.6.2. Indonesia AI in Medical Imaging Market Size and Forecast, by Technology (2022-2029) 6.6.6.3. Indonesia AI in Medical Imaging Market Size and Forecast, by Application (2022-2029) 6.6.6.4. Indonesia AI in Medical Imaging Market Size and Forecast, by End-User (2022-2029) 6.6.6.5. Indonesia AI in Medical Imaging Market Size and Forecast, by Deployment Mode (2022-2029) 6.6.7. Malaysia 6.6.7.1. Malaysia AI in Medical Imaging Market Size and Forecast, by Imaging Mode (2022-2029) 6.6.7.2. Malaysia AI in Medical Imaging Market Size and Forecast, by Technology (2022-2029) 6.6.7.3. Malaysia AI in Medical Imaging Market Size and Forecast, by Application (2022-2029) 6.6.7.4. Malaysia AI in Medical Imaging Market Size and Forecast, by End-User (2022-2029) 6.6.7.5. Malaysia AI in Medical Imaging Market Size and Forecast, by Deployment Mode (2022-2029) 6.6.8. Vietnam 6.6.8.1. Vietnam AI in Medical Imaging Market Size and Forecast, by Imaging Mode (2022-2029) 6.6.8.2. Vietnam AI in Medical Imaging Market Size and Forecast, by Technology (2022-2029) 6.6.8.3. Vietnam AI in Medical Imaging Market Size and Forecast, by Application(2022-2029) 6.6.8.4. Vietnam AI in Medical Imaging Market Size and Forecast, by End-User (2022-2029) 6.6.8.5. Vietnam AI in Medical Imaging Market Size and Forecast, by Deployment Mode (2022-2029) 6.6.9. Taiwan 6.6.9.1. Taiwan AI in Medical Imaging Market Size and Forecast, by Imaging Mode (2022-2029) 6.6.9.2. Taiwan AI in Medical Imaging Market Size and Forecast, by Technology (2022-2029) 6.6.9.3. Taiwan AI in Medical Imaging Market Size and Forecast, by Application (2022-2029) 6.6.9.4. Taiwan AI in Medical Imaging Market Size and Forecast, by End-User (2022-2029) 6.6.9.5. Taiwan AI in Medical Imaging Market Size and Forecast, by Deployment Mode (2022-2029) 6.6.10. Rest of Asia Pacific 6.6.10.1. Rest of Asia Pacific AI in Medical Imaging Market Size and Forecast, by Imaging Mode (2022-2029) 6.6.10.2. Rest of Asia Pacific AI in Medical Imaging Market Size and Forecast, by Technology (2022-2029) 6.6.10.3. Rest of Asia Pacific AI in Medical Imaging Market Size and Forecast, by Application (2022-2029) 6.6.10.4. Rest of Asia Pacific AI in Medical Imaging Market Size and Forecast, by End-User (2022-2029) 6.6.10.5. Rest of Asia Pacific AI in Medical Imaging Market Size and Forecast, by Deployment Mode (2022-2029) 7. Middle East and Africa AI in Medical Imaging Market Size and Forecast by Segmentation (by Value in USD Million) 2022-2029 7.1. Middle East and Africa AI in Medical Imaging Market Size and Forecast, by Imaging Mode (2022-2029) 7.2. Middle East and Africa AI in Medical Imaging Market Size and Forecast, by Technology (2022-2029) 7.3. Middle East and Africa AI in Medical Imaging Market Size and Forecast, by Application (2022-2029) 7.4. Middle East and Africa AI in Medical Imaging Market Size and Forecast, by End-User (2022-2029) 7.5. Middle East and Africa AI in Medical Imaging Market Size and Forecast, by Deployment Mode (2022-2029) 7.6. Middle East and Africa AI in Medical Imaging Market Size and Forecast, by Country (2022-2029) 7.6.1. South Africa 7.6.1.1. South Africa AI in Medical Imaging Market Size and Forecast, by Imaging Mode (2022-2029) 7.6.1.2. South Africa AI in Medical Imaging Market Size and Forecast, by Technology (2022-2029) 7.6.1.3. South Africa AI in Medical Imaging Market Size and Forecast, by Application (2022-2029) 7.6.1.4. South Africa AI in Medical Imaging Market Size and Forecast, by End-User (2022-2029) 7.6.1.5. South Africa AI in Medical Imaging Market Size and Forecast, by Deployment Mode (2022-2029) 7.6.2. GCC 7.6.2.1. GCC AI in Medical Imaging Market Size and Forecast, by Imaging Mode (2022-2029) 7.6.2.2. GCC AI in Medical Imaging Market Size and Forecast, by Technology (2022-2029) 7.6.2.3. GCC AI in Medical Imaging Market Size and Forecast, by Application (2022-2029) 7.6.2.4. GCC AI in Medical Imaging Market Size and Forecast, by End-User (2022-2029) 7.6.2.5. GCC AI in Medical Imaging Market Size and Forecast, by Deployment Mode (2022-2029) 7.6.3. Nigeria 7.6.3.1. Nigeria AI in Medical Imaging Market Size and Forecast, by Imaging Mode (2022-2029) 7.6.3.2. Nigeria AI in Medical Imaging Market Size and Forecast, by Technology (2022-2029) 7.6.3.3. Nigeria AI in Medical Imaging Market Size and Forecast, by Application (2022-2029) 7.6.3.4. Nigeria AI in Medical Imaging Market Size and Forecast, by End-User (2022-2029) 7.6.3.5. Nigeria AI in Medical Imaging Market Size and Forecast, by Deployment Mode (2022-2029) 7.6.4. Rest of ME&A 7.6.4.1. Rest of ME&A AI in Medical Imaging Market Size and Forecast, by Imaging Mode (2022-2029) 7.6.4.2. Rest of ME&A AI in Medical Imaging Market Size and Forecast, by Technology (2022-2029) 7.6.4.3. Rest of ME&A AI in Medical Imaging Market Size and Forecast, by Application (2022-2029) 7.6.4.4. Rest of ME&A AI in Medical Imaging Market Size and Forecast, by End-User (2022-2029) 7.6.4.5. Rest of ME&A AI in Medical Imaging Market Size and Forecast, by Deployment Mode (2022-2029) 8. South America AI in Medical Imaging Market Size and Forecast by Segmentation (by Value in USD Million) 2022-2029 8.1. South America AI in Medical Imaging Market Size and Forecast, by Imaging Mode (2022-2029) 8.2. South America AI in Medical Imaging Market Size and Forecast, by Technology (2022-2029) 8.3. South America AI in Medical Imaging Market Size and Forecast, by Application(2022-2029) 8.4. South America AI in Medical Imaging Market Size and Forecast, by End-User (2022-2029) 8.5. South America AI in Medical Imaging Market Size and Forecast, by Deployment Mode (2022-2029) 8.6. South America AI in Medical Imaging Market Size and Forecast, by Country (2022-2029) 8.7.1. Brazil 8.6.1.1. Brazil AI in Medical Imaging Market Size and Forecast, by Imaging Mode (2022-2029) 8.6.1.2. Brazil AI in Medical Imaging Market Size and Forecast, by Technology (2022-2029) 8.6.1.3. Brazil AI in Medical Imaging Market Size and Forecast, by Application (2022-2029) 8.6.1.4. Brazil AI in Medical Imaging Market Size and Forecast, by End-User (2022-2029) 8.6.1.5. Brazil AI in Medical Imaging Market Size and Forecast, by Deployment Mode (2022-2029) 8.7.2. Argentina 8.6.2.1. Argentina AI in Medical Imaging Market Size and Forecast, by Imaging Mode (2022-2029) 8.6.2.2. Argentina AI in Medical Imaging Market Size and Forecast, by Technology (2022-2029) 8.6.2.3. Argentina AI in Medical Imaging Market Size and Forecast, by Application (2022-2029) 8.6.2.4. Argentina AI in Medical Imaging Market Size and Forecast, by End-User (2022-2029) 8.6.2.5. Argentina AI in Medical Imaging Market Size and Forecast, by Deployment Mode (2022-2029) 8.7.3. Rest Of South America 8.6.3.1. Rest Of South America AI in Medical Imaging Market Size and Forecast, by Imaging Mode (2022-2029) 8.6.3.2. Rest Of South America AI in Medical Imaging Market Size and Forecast, by Technology (2022-2029) 8.6.3.3. Rest Of South America AI in Medical Imaging Market Size and Forecast, by Application (2022-2029) 8.6.3.4. Rest Of South America AI in Medical Imaging Market Size and Forecast, by End-User (2022-2029) 8.6.3.5. Rest Of South America AI in Medical Imaging Market Size and Forecast, by Deployment Mode (2022-2029) 9. Global AI in Medical Imaging Market: Competitive Landscape 9.1. MMR Competition Matrix 9.2. Competitive Landscape 9.3. Key Players Benchmarking 9.3.1. Company Name 9.3.2. Business Segment 9.3.3. End-user Segment 9.3.4. Revenue (2022) 9.3.5. Company Locations 9.4. Leading AI in Medical Imaging Market Companies, by market capitalization 9.5. Market Structure 9.5.1. Market Leaders 9.5.2. Market Followers 9.5.3. Emerging Players 9.6. Mergers and Acquisitions Details 10. Company Profile: Key Players 10.1. GE Healthcare (United States) 10.1.1. Company Overview 10.1.2. Business Portfolio 10.1.3. Financial Overview 10.1.4. SWOT Analysis 10.1.5. Strategic Analysis 10.1.6. Recent Developments 10.2. IBM Watson Health (United States) 10.3. NVIDIA Corporation (United States) 10.4. Aidoc (United States) 10.5. Butterfly Network (United States) 10.6. Siemens Healthineers (Germany) 10.7. Philips Healthcare (Netherlands) 10.8. Sectra AB (Sweden) 10.9. Agfa-Gevaert Group (Belgium) 10.10. Zebra Medical Vision (Israel) 10.11. Canon Medical Systems Corporation (Japan) 10.12. Ping An Healthcare and Technology Company Limited (China) 10.13. Infervision (China) 10.14. Carestream Health (United States, with a strong presence in Asia Pacific) 10.15. Huiying Medical Technology Co., Ltd. (China) 10.16. Grupo Fleury (Brazil) 10.17. Hospital Alemão Oswaldo Cruz (Brazil) 10.18. Inbrain Neuroelectronics (Spain, with operations in Latin America) 10.19. Inova (Mexico) 10.20. Radiologia Integrada (Chile) 10.21. AIDoc Medical (Israel) 10.22. AlemHealth (United Arab Emirates) 10.23. Quantib (South Africa) 10.24. Mirai Medical (South Africa) 11. Key Findings 12. Industry Recommendations 13. AI in Medical Imaging Market: Research Methodology