의료진단 AI : 시장 인사이트 및 경쟁 구도 및 시장 예측(-2032년)

Artificial Intelligence (AI) in Medical Diagnostics Market Summary

• The global artificial intelligence in medical diagnostics market is expected to increase from USD 1,623.20 million in 2024 to USD 8,081.97 million by 2032, reflecting strong and sustained growth.
• The global artificial intelligence in medical diagnostics market is growing at a CAGR of 22.31% during the forecast period from 2025 to 2032.
• The global artificial intelligence in medical diagnostics market is witnessing rapid growth, driven by the rising prevalence of chronic, genetic, and infectious diseases. AI technologies facilitate early detection, precise diagnosis, and personalized treatment by analyzing complex medical data and identifying subtle patterns. This growth is further strengthened by increased research and development, strategic collaborations, and continuous product innovation by key market players, accelerating clinical adoption across healthcare settings.
• The leading companies operating in the artificial intelligence in medical diagnostics market include GE HealthCare, Aidoc, Qure.ai, Siemens Healthineers, PathAI, Ibex, Owkin, Inc., Imagen Technologies, Aiforia, RADLogics, Tecomet Inc., Prenosis, Inc., Riverain Technologies, Envisionit Deep AI (Pty) Ltd., Deep Bio Inc., Inc., and Others.
• North America is expected to remain a dominant force in the artificial intelligence in medical diagnostics market. This is driven by the increasing burden of chronic diseases such as cancer, lifestyle-related disorders like diabetes, and infectious conditions, including HIV. This growing disease prevalence, combined with a strong healthcare ecosystem, cutting-edge R&D in AI-driven diagnostics, and rapid regulatory approvals, is positioning the U.S. as a global hub for AI-enabled diagnostic innovations.
• In the component segment of the artificial intelligence in medical diagnostics market, the hardware/software category is estimated to account for the largest market share in 2024.

Factors Contributing to the Growth of Artificial Intelligence (AI) in the Medical Diagnostics Market

• The rising cases of chronic and genetic diseases: The increasing prevalence of chronic diseases such as diabetes, cardiovascular disorders, and cancer, along with the growing incidence of genetic disorders, is driving demand for more accurate and timely diagnostics. AI-powered tools can analyze vast datasets, identify early disease markers, and predict disease progression, helping clinicians provide personalized care. This heightened need for precision and efficiency in managing complex health conditions is significantly boosting the adoption of AI medical diagnostic solutions across hospitals, laboratories, and research centers.
• Growing focus on research and development initiatives and the formation of strategic partnerships: Healthcare organizations, technology companies, and research institutions are increasingly investing in research and development to advance AI diagnostic capabilities. Strategic collaborations and partnerships are facilitating the co-creation of innovative solutions, clinical validation of AI models, and faster integration of AI into healthcare workflows. These initiatives accelerate product innovation, improve algorithm accuracy, and increase trust among healthcare providers, thereby driving the overall growth of AI in the medical diagnostics market.
• Increase in product development activities among the key market players: Key market players are actively expanding their product portfolios by developing new AI-driven diagnostic platforms and enhancing existing solutions. These activities include integrating advanced machine learning algorithms, improving user interfaces, and ensuring compliance with regulatory standards. Continuous product innovation not only attracts new customers but also encourages healthcare providers to upgrade their diagnostic infrastructure, thereby fueling market growth and creating competitive differentiation among leading companies.

Artificial Intelligence (AI) in Medical Diagnostics Market Report Segmentation

This artificial intelligence in medical diagnostics market report offers a comprehensive overview of the global artificial intelligence in medical diagnostics market, highlighting key trends, growth drivers, challenges, and opportunities. It covers detailed market segmentation by Component (Hardware/Software and Services), Application (Infectious Disease Diagnostics, Radiology, Oncology, Cardiology, and Others), Technology (Machine Learning, Natural Language Processing, and Others), and Geography. The report provides valuable insights into the competitive landscape, regulatory environment, and market dynamics across major markets, including North America, Europe, and Asia-Pacific. Featuring in-depth profiles of leading industry players and recent product innovations, this report equips businesses with essential data to identify market potential, develop strategic plans, and capitalize on emerging opportunities in the rapidly growing artificial intelligence in medical diagnostics market.

Artificial intelligence (AI) in medical diagnostics refers to the use of advanced computational algorithms, machine learning, and data-driven models to analyze medical data such as imaging, lab results, and patient records to assist in disease detection, diagnosis, and prognosis. By recognizing patterns and anomalies often undetectable to the human eye, AI improves diagnostic accuracy, accelerates decision-making, and supports personalized treatment planning, enhancing patient outcomes and streamlining clinical workflows.

The growth of artificial intelligence in the medical diagnostics market is being strongly propelled by several key factors. The rising prevalence of chronic and genetic diseases, including cancer, cardiovascular disorders, and diabetes, is driving demand for accurate, timely, and personalized diagnostics, making AI-powered tools increasingly essential in clinical practice. This is further supported by a growing focus on research and development initiatives and the formation of strategic partnerships between healthcare providers, technology companies, and research institutions, which accelerate innovation, clinical validation, and seamless integration of AI solutions into healthcare workflows.

Additionally, key market players are actively expanding their product portfolios by developing new AI-driven diagnostic platforms and enhancing existing tools with advanced machine learning algorithms, improved user interfaces, and regulatory compliance. Together, these trends are fostering increased adoption of artificial intelligence in medical diagnostics, improving clinical efficiency, and driving substantial growth in the market.

What are the latest Artificial Intelligence (AI) in Medical Diagnostics Market Dynamics and Trends?

The artificial intelligence in medical diagnostics market is expanding rapidly, driven by the rising prevalence of chronic, genetic, and infectious diseases such as cancer, cardiovascular disorders, neurological conditions, diabetes, rare genetic disorders, and infections, including HIV and hepatitis. This growth is further supported by the increasing adoption of digital health and imaging technologies, along with accelerated product development initiatives by key market players worldwide.

Cancer remains one of the primary drivers of market growth. As per Delveinsight analysis, new cancer cases are projected to reach 21.5 million in 2025, rising sharply to 32.5 million by 2045. This surge underscores the urgent demand for AI-enabled diagnostic solutions, particularly in oncology, where AI-powered imaging and pathology tools are proving highly effective in detecting early-stage tumors, accurately grading cancers, and supporting treatment selection. By enhancing diagnostic speed and precision, these tools help reduce errors and improve patient outcomes.

Beyond oncology, the increasing incidence of cardiovascular and metabolic disorders is accelerating AI adoption in diagnostics. Approximately 640 million people worldwide were living with heart and circulatory diseases, with around 67.5 million new cases reported annually. Similarly, an estimated 536.5 million adults had diabetes in recent years, a figure projected to rise to 643.5 million by 2030 and 783.5 million by 2045. Infectious diseases add further pressure: globally, 304 million people were living with hepatitis B and C, while nearly 39.5 million were living with HIV, including 1.5 million children. These statistics highlight the expanding role of AI in enabling earlier detection, real-time monitoring, and individualized disease management across multiple therapeutic areas.

The growing emphasis on precision diagnostics is also reflected in regulatory developments. In 2023, the U.S. FDA approved 16 new personalized therapies for rare disease patients, up from six approvals in 2022, with seven of these focused on oncology. AI complements this trend by analyzing genomic and clinical datasets, identifying disease risks, predicting therapy responses, and guiding the development of targeted treatment regimens.

Taken together, these trends and statistics underscore not only the rising global health burden but also the urgent need for scalable, intelligent healthcare solutions. As AI continues to integrate into diagnostics, its role in enhancing accuracy, accelerating clinical decision-making, and advancing personalized care will deepen. Consequently, the artificial intelligence in the medical diagnostics market is poised for substantial expansion during the forecast period of 2025 to 2032, redefining the future of global healthcare delivery.

However, the growth of the global artificial intelligence in medical diagnostics market, particularly in the Machine Learning and Oncology segments, faces notable restraints. Data privacy and security concerns remain a critical challenge, as AI systems rely on vast amounts of sensitive patient information, including medical images, genomic data, and electronic health records. Ensuring compliance with data protection regulations and safeguarding against breaches increases operational complexity and may slow adoption. Regulatory hurdles and the need for rigorous clinical validation further constrain growth. AI-driven diagnostic tools, especially those applied in oncology, must undergo extensive testing to demonstrate accuracy, reliability, and clinical utility, which can be time-consuming and costly. These challenges are compounded by the necessity for approval from multiple regulatory bodies across different regions, creating delays in product launches and market penetration.

Collectively, concerns over data security and the stringent regulatory landscape limit the full potential of artificial intelligence in medical diagnostics, despite its proven ability to enhance early detection, improve workflow efficiency, and support precision medicine initiatives in critical areas such as cancer care.

Artificial Intelligence (AI) in Medical Diagnostics Market Segment Analysis

Artificial Intelligence (AI) in Medical Diagnostics Market by Component (Hardware/Software and Services), Application (Infectious Disease Diagnostics, Radiology, Oncology, Cardiology, and Others), Technology (Machine Learning, Natural Language Processing, and Others), and Geography (North America, Europe, Asia-Pacific, and Rest of the World)

Artificial Intelligence (AI) in Medical Diagnostics Market Regional Analysis

North America Artificial Intelligence (AI) in Medical Diagnostics Market Trends

North America, led by the U.S., accounted for a dominant 51% share of the global artificial intelligence in medical diagnostics market in 2024. The North American artificial intelligence in medical diagnostics market is experiencing robust growth, driven by the increasing burden of chronic diseases such as cancer, lifestyle-related disorders like diabetes, and infectious conditions, including HIV. This growing disease prevalence, combined with a strong healthcare ecosystem, cutting-edge R&D in AI-driven diagnostics, and rapid regulatory approvals, is positioning the U.S. as a global hub for AI-enabled diagnostic innovations.

According to DelveInsight analysis (2025), the number of new cancer cases in the United States is projected to reach approximately 2,535,766 in 2025, with the national burden expected to rise significantly to around 3,380,124 cases by 2045. With such alarming figures, AI-based diagnostic technologies are increasingly being adopted to enhance early detection, improve accuracy, and personalize treatment strategies by leveraging genomic, imaging, and clinical data.

Infectious diseases are also fueling market demand. Further analysis reported that in 2024 that an estimated 31,800 new HIV infections occurred 2022 across the U.S., underscoring the critical need for advanced diagnostic platforms capable of enabling timely and precise identification.

AI solutions in diagnostics can significantly reduce turnaround times, identify subtle disease markers invisible to the human eye, and act as valuable decision-support tools for clinicians managing high patient volumes. The growing acceptance of such solutions reflects their potential to address major gaps in traditional diagnostic pathways.

Regulatory support further strengthens the market landscape. For instance, in February 2025, Ibex Medical Analytics received FDA 510(k) clearance for its Ibex Prostate Detect platform, an AI-based in vitro diagnostic tool that generates heat maps to detect early and rare forms of prostate cancer.

This approval highlights the FDA's increasing openness toward AI-powered innovations, encouraging further product development and commercialization in the U.S. diagnostic sector. Several leading players in the U.S. are actively shaping the artificial intelligence in the medical diagnostics space, leveraging their technological expertise and strong industry presence.

Companies such as IBM Watson Health, GE HealthCare, Microsoft (Azure AI for Healthcare), Google Health (DeepMind), and Siemens Healthineers (U.S. operations) are investing heavily in AI platforms that integrate imaging, pathology, and electronic health records to deliver faster and more reliable diagnostic insights.

Startups and specialized companies like PathAI, Freenome, and Tempus are also making significant strides, particularly in oncology diagnostics and precision medicine applications, while partnerships with healthcare providers and research institutes continue to accelerate AI adoption.

Hence, the convergence of rising disease prevalence, robust R&D pipelines, supportive regulatory frameworks, and active participation of global and domestic leaders is anticipated to drive substantial growth in the regional artificial intelligence in medical diagnostics market over the forecast period of 2025 to 2032.

Europe Artificial Intelligence (AI) in Medical Diagnostics Market Trends

The Europe artificial intelligence in medical diagnostics market is experiencing steady growth, driven by advancements in AI technologies, increasing healthcare digitization, and strong regulatory and policy support across the region. The adoption of AI in medical imaging, pathology, cardiology, and oncology is improving diagnostic accuracy, workflow efficiency, and patient outcomes. Investments in smart hospitals, integrated healthcare IT systems, and AI-enabled diagnostic platforms are facilitating widespread implementation, while European governments and health authorities are promoting AI adoption through funding initiatives, pilot programs, and clear regulatory pathways for AI-based medical devices.

Several insights highlight key trends in the region. First, countries such as Germany, the United Kingdom, and France are leading AI adoption due to advanced healthcare infrastructure, high digital literacy, and favorable reimbursement mechanisms. Second, there is an increasing focus on collaborations between AI startups, established medical technology companies, and academic research institutions to develop clinically validated and regulatory-compliant solutions. Third, there is growing emphasis on explainable AI and ethical frameworks to ensure transparency, trust, and safety in clinical decision-making. Additionally, AI-powered predictive diagnostics, remote monitoring, and digital pathology are gaining traction, helping healthcare providers manage patient care more efficiently and reduce diagnostic delays.

Therefore, Europe is positioning itself as a key market for AI in diagnostics, with technological innovation, strategic partnerships, and supportive regulatory environments driving adoption and improving the quality and accessibility of healthcare services across the region.

Asia-Pacific Artificial Intelligence (AI) in Medical Diagnostics Market Trends

The Asia-Pacific artificial intelligence in medical diagnostics market is experiencing strong growth, fueled by rapid technological advancements, rising healthcare demands, and supportive government initiatives. The adoption of AI technologies, including machine learning and deep learning, is improving the accuracy, speed, and efficiency of disease detection, particularly in medical imaging, pathology, and predictive diagnostics. Investments in healthcare infrastructure are facilitating broader deployment of AI-driven diagnostic tools, helping to manage the increasing burden of chronic diseases and the challenges of an aging population. Government policies and incentives are further promoting AI integration in clinical practice, supporting research and development, and enabling healthcare providers to implement innovative diagnostic solutions.

Key market dynamics reveal that countries with advanced healthcare systems, such as Australia, Japan, and South Korea, are likely to lead adoption due to robust infrastructure, higher digital literacy, and favorable reimbursement policies. Meanwhile, emerging economies, including India, China, and Southeast Asian nations, are rapidly expanding AI applications to deliver cost-effective diagnostics, improve accuracy, and reduce patient wait times. Collaborations between local hospitals, AI startups, and global technology firms are increasingly common to develop region-specific solutions tailored to population health needs. Additionally, AI-powered telemedicine and remote diagnostics are gaining traction, particularly in rural and underserved areas, enhancing healthcare accessibility.

Thus, the Asia-Pacific region is set to become a global hub for AI in medical diagnostics, driven by innovation, policy support, and strategic partnerships that expand market growth and improve clinical outcomes.

Who are the major players in the Artificial Intelligence (AI) in Medical Diagnostics Market?

The following are the leading companies in the artificial intelligence in medical diagnostics market. These companies collectively hold the largest market share and dictate industry trends.

• GE HealthCare
• Aidoc
• Qure.ai
• Siemens Healthineers
• PathAI
• Ibex
• Owkin, Inc
• Imagen Technologies
• Aiforia
• RADLogics
• Tecomet Inc.
• Prenosis, Inc.
• Riverain Technologies
• Envisionit Deep AI (Pty) Ltd.
• Deep Bio Inc., Inc.

How is the competitive landscape shaping the Artificial Intelligence (AI) in Medical Diagnostics market?

The competitive landscape of artificial intelligence in medical diagnostics market is rapidly evolving, driven by ongoing technological advancements, strategic partnerships, and growing investment in AI-enabled healthcare solutions. The market is moderately concentrated, comprising established medical technology companies, global tech giants, and innovative startups, all vying for leadership. Key players are focused on developing accurate, efficient, and user-friendly diagnostic platforms, often leveraging deep learning algorithms, cloud-based solutions, and seamless integration with existing hospital information systems. Collaborations with hospitals, research institutions, and technology partners are increasingly common to accelerate product development and clinical validation.

Both startups and established firms are differentiating themselves through specialized applications in radiology, pathology, cardiology, and oncology diagnostics. The entry of major technology companies has intensified competition, resulting in shorter innovation cycles, more diverse product pipelines, and faster adoption of AI-driven diagnostics in clinical practice.

Thus, this moderately concentrated competitive landscape fosters technological innovation, strategic alliances, and clinical validation, ultimately improving diagnostic accuracy, efficiency, and accessibility for healthcare providers and patients.

Recent Developmental Activities in the Artificial Intelligence (AI) in Medical Diagnostics Market

• In April 2025, Roche announced that the U.S. Food and Drug Administration (FDA) had granted Breakthrough Device Designation to its VENTANA(R) TROP2 (EPR20043) RxDx Device. This represents the first time a computational pathology companion diagnostic (CDx) device has received a Breakthrough Device Designation.
• In April 2025, Avant Technologies, Inc., along with its joint venture partner Ainnova Tech, Inc., announced that the U.S. Food and Drug Administration (FDA) is reviewing its pre-submission package for a meeting concerning Avant's VisionAI platform. The technology is designed to transform early disease detection through artificial intelligence.
• In April 2025, Proprio announced that its Paradigm AI surgical guidance platform had received FDA 510(k) clearance to incorporate intraoperative measurements, allowing the first-ever real-time 3D, dynamic, and segmental visualization and measurement of anatomy during surgery.
• In September 2024, Ibex Medical Analytics (Ibex), a leader in AI-powered cancer diagnostics, unveiled the latest enhancements to its Ibex-AI platform. Developed in collaboration with pathologists worldwide who use the platform in daily clinical practice, these new features underscore Ibex's commitment to delivering advanced diagnostic tools designed to support healthcare professionals at the forefront of patient care.

Artificial Intelligence (AI) in Medical Diagnostics Market Segmentation

• Artificial Intelligence (AI) in Medical Diagnostics by Component Exposure
• Hardware/Software
• Services
• Artificial Intelligence (AI) in Medical Diagnostics Application Exposure
• Infectious Disease Diagnostics
• Radiology
• Oncology
• Cardiology
• Others
• Artificial Intelligence (AI) in Medical Diagnostics Technology Exposure
• Machine Learning
• Natural Language Processing
• Others
• Artificial Intelligence (AI) in Medical Diagnostics Geography Exposure
• North America Artificial Intelligence (AI) in Medical Diagnostics Market
• United States Artificial Intelligence (AI) in Medical Diagnostics Market
• Canada Artificial Intelligence (AI) in Medical Diagnostics Market
• Mexico Artificial Intelligence (AI) in Medical Diagnostics Market
• Europe Artificial Intelligence (AI) in Medical Diagnostics Market
• United Kingdom Artificial Intelligence (AI) in Medical Diagnostics Market
• Germany Artificial Intelligence (AI) in Medical Diagnostics Market
• France Artificial Intelligence (AI) in Medical Diagnostics Market
• Italy Artificial Intelligence (AI) in Medical Diagnostics Market
• Spain Artificial Intelligence (AI) in Medical Diagnostics Market
• Rest of Europe Artificial Intelligence (AI) in Medical Diagnostics Market
• Asia-Pacific Artificial Intelligence (AI) in Medical Diagnostics Market
• China Artificial Intelligence (AI) in Medical Diagnostics Market
• Japan Artificial Intelligence (AI) in Medical Diagnostics Market
• India Artificial Intelligence (AI) in Medical Diagnostics Market
• Australia Artificial Intelligence (AI) in Medical Diagnostics Market
• South Korea Artificial Intelligence (AI) in Medical Diagnostics Market
• Rest of Asia-Pacific Artificial Intelligence (AI) in Medical Diagnostics Market
• Rest of the World Artificial Intelligence (AI) in Medical Diagnostics Market
• South America Artificial Intelligence (AI) in Medical Diagnostics Market
• Middle East Artificial Intelligence (AI) in Medical Diagnostics Market
• Africa Artificial Intelligence (AI) in Medical Diagnostics Market

Impact Analysis

AI-Powered Innovations and Applications:

AI-driven innovations are reshaping medical diagnostics by improving accuracy, speed, and accessibility in disease detection and management. Sophisticated algorithms analyze medical imaging, pathology slides, and genomic data with high precision, often identifying abnormalities earlier than conventional methods. In radiology, AI assists in detecting tumors, fractures, and cardiovascular conditions, enhancing workflow efficiency and reducing diagnostic errors. In pathology and oncology, AI platforms support automated slide analysis and tumor classification, enabling faster and more consistent clinical decisions.

Beyond imaging, AI is advancing predictive diagnostics and personalized medicine. Machine learning models can anticipate disease progression, identify high-risk patients, and guide individualized treatment strategies. Natural language processing extracts critical insights from electronic health records, helping clinicians make better-informed decisions. AI-powered chatbots and digital assistants further enhance patient engagement by providing preliminary assessments and care guidance.

Thus, AI is redefining diagnostics through automation, precision, and integrated data analysis. As algorithms continue to learn from larger and more diverse datasets, they are expected to become increasingly reliable and clinically interpretable, supporting the future of personalized, data-driven healthcare.

U.S. Tariff Impact Analysis on the Artificial Intelligence (AI) in Medical Diagnostics Market:

U.S. tariffs significantly affect the Artificial Intelligence (AI) in Medical Diagnostics market by increasing costs and disrupting supply chains. AI diagnostic systems rely heavily on imported components such as semiconductors, sensors, and computing hardware, and tariffs on these items raise production and procurement expenses, slowing adoption by healthcare providers. This added financial burden often results in higher prices for diagnostic services and can delay product launches or clinical implementation.

Tariffs also introduce uncertainty into global supply chains, forcing manufacturers to seek alternative suppliers or relocate production, which adds further costs and delays. Smaller diagnostic firms are particularly vulnerable due to limited financial flexibility. In response, the market is shifting toward domestic sourcing, cloud-based AI platforms, and software-driven solutions that reduce dependence on imported hardware. While tariffs may temporarily slow growth, these adaptations are fostering innovation and supply chain resilience, ultimately strengthening the long-term competitiveness of the U.S. AI diagnostics sector.

How This Analysis Helps Clients

• Cost Management: By understanding the tariff landscape, clients can anticipate cost increases and adjust pricing strategies accordingly, ensuring profitability.
• Supply Chain Optimization: Clients can identify alternative sourcing options and diversify their supply chains to reduce dependency on high-tariff regions, enhancing resilience.
• Regulatory Navigation: Expert guidance on navigating the evolving regulatory environment helps clients maintain compliance and avoid potential legal challenges.
• Strategic Planning: Insights into tariff impacts enable clients to make informed decisions about manufacturing locations, partnerships, and market entry strategies.

Key takeaways from the Artificial Intelligence (AI) in Medical Diagnostics market report study

• Market size analysis for the current artificial intelligence in medical diagnostics market size (2024), and market forecast for 8 years (2025 to 2032)
• Top key product/technology developments, mergers, acquisitions, partnerships, and joint ventures happened over the last 3 years.
• Key companies dominating the artificial intelligence in medical diagnostics market.
• Various opportunities available for the other competitors in the artificial intelligence in medical diagnostics market space.
• What are the top-performing segments in 2024? How these segments will perform in 2032?
• Which are the top-performing regions and countries in the artificial intelligence in medical diagnostics market scenario?
• Which are the regions and countries where companies should have concentrated on opportunities for artificial intelligence in medical diagnostics market growth in the future?

Frequently Asked Questions for the Artificial Intelligence (AI) in Medical Diagnostics Market

1. What is the growth rate of artificial intelligence in medical diagnostics market?

• The artificial intelligence in the medical diagnostics market is estimated to grow at a CAGR of 22.31% during the forecast period from 2025 to 2032.

2. What is the market for artificial intelligence in medical diagnostics?

• The artificial intelligence in medical diagnostics market was valued at USD 1,623.20 million in 2024, and is expected to reach USD 8,081.97 million by 2032.

3. Which region has the highest share in the artificial intelligence in medical diagnostics market?

• North America is expected to remain a dominant force in the artificial intelligence in medical diagnostics market. This is driven by the increasing burden of chronic diseases such as cancer, lifestyle-related disorders like diabetes, and infectious conditions, including HIV. This growing disease prevalence, combined with a strong healthcare ecosystem, cutting-edge R&D in AI-driven diagnostics, and rapid regulatory approvals, is positioning the U.S. as a global hub for AI-enabled diagnostic innovations.

4. What are the drivers for the artificial intelligence in medical diagnostics market?

• The global artificial intelligence in medical diagnostics market is witnessing rapid growth, driven by the rising prevalence of chronic, genetic, and infectious diseases. AI technologies facilitate early detection, precise diagnosis, and personalized treatment by analyzing complex medical data and identifying subtle patterns. This growth is further strengthened by increased research and development, strategic collaborations, and continuous product innovation by key market players, accelerating clinical adoption across healthcare settings.

5. Who are the key players operating in the artificial intelligence in medical diagnostics market?

• Some of the key market players operating in the artificial intelligence in medical diagnostics market include GE HealthCare, Aidoc, Qure.ai, Siemens Healthineers, PathAI, Ibex, Owkin, Inc., Imagen Technologies, Aiforia, RADLogics, Tecomet Inc., Prenosis, Inc., Riverain Technologies, Envisionit Deep AI (Pty) Ltd., Deep Bio Inc., Inc., and Others.

Table of Contents

1. Artificial Intelligence (AI) in Medical Diagnostics Market Report Introduction

• 1.1 Scope of the Study
• 1.2 Market Segmentation
• 1.3 Market Assumption

2. Artificial Intelligence (AI) in Medical Diagnostics Market Executive Summary

• 2.1 Market at Glance

3. Artificial Intelligence (AI) in Medical Diagnostics Market Key Factors Analysis

• 3.1 Artificial Intelligence (AI) in Medical Diagnostics Market Drivers
  • 3.1.1 The rising cases of chronic & genetic diseases
  • 3.1.2 Growing focus on research and development initiatives and the formation of strategic partnerships
  • 3.1.3 Increase in product development activities among the key market players
• 3.2 Artificial Intelligence (AI) in Medical Diagnostics Market Restraints and Challenges
  • 3.2.1 Data privacy and security concerns
  • 3.2.2 Regulatory hurdles and clinical validation issues
• 3.3 Artificial Intelligence (AI) in Medical Diagnostics Market Opportunity
  • 3.3.1 Increasing role of predictive analytics in advancing Artificial Intelligence (AI) healthcare

4. Impact Analysis

• 4.1 AI-Powered Innovations and Applications
• 4.2 U.S. Tariff Impact Analysis

5. Regulatory Analysis

• 5.1 The United States
• 5.2 Europe
• 5.3 Japan
• 5.4 China

6. Artificial Intelligence (AI) in Medical Diagnostics Market Porter's Five Forces Analysis

• 6.1 Bargaining Power of Suppliers
• 6.2 Bargaining Power of Consumers
• 6.3 Threat of New Entrants
• 6.4 Threat of Substitutes
• 6.5 Competitive Rivalry

7. Artificial Intelligence (AI) in Medical Diagnostics Market Assessment

• 7.1 By Component
  • 7.1.1 Hardware/Software
  • 7.1.2 Services
• 7.2 By Application
  • 7.2.1 Infectious Disease Diagnostics
  • 7.2.2 Radiology
  • 7.2.3 Oncology
  • 7.2.4 Cardiology
  • 7.2.5 Others
• 7.3 By Technology
  • 7.3.1 Machine Learning
  • 7.3.2 Natural Language Processing
  • 7.3.3 Others
• 7.4 By Geography
  • 7.4.1 North America
    • 7.4.1.1 United States Artificial Intelligence (AI) in Medical Diagnostics Market Size in USD million (2022-2032)
    • 7.4.1.2 Canada Artificial Intelligence (AI) in Medical Diagnostics Market Size in USD million (2022-2032)
    • 7.4.1.3 Mexico Artificial Intelligence (AI) in Medical Diagnostics Market Size in USD million (2022-2032)
  • 7.4.2 Europe
    • 7.4.2.1 France Artificial Intelligence (AI) in Medical Diagnostics Market Size in USD million (2022-2032)
    • 7.4.2.2 Germany Artificial Intelligence (AI) in Medical Diagnostics Market Size in USD million (2022-2032)
    • 7.4.2.3 United Kingdom Artificial Intelligence (AI) in Medical Diagnostics Market Size in USD million (2022-2032)
    • 7.4.2.4 Italy Artificial Intelligence (AI) in Medical Diagnostics Market Size in USD million (2022-2032)
    • 7.4.2.5 Spain Artificial Intelligence (AI) in Medical Diagnostics Market Size in USD million (2022-2032)
    • 7.4.2.6 Rest of Europe Artificial Intelligence (AI) in Medical Diagnostics Market Size in USD million (2022-2032)
  • 7.4.3 Asia-Pacific
    • 7.4.3.1 China Artificial Intelligence (AI) in Medical Diagnostics Market Size in USD million (2022-2032)
    • 7.4.3.2 Japan Artificial Intelligence (AI) in Medical Diagnostics Market Size in USD million (2022-2032)
    • 7.4.3.3 India Artificial Intelligence (AI) in Medical Diagnostics Market Size in USD million (2022-2032)
    • 7.4.3.4 Australia Artificial Intelligence (AI) in Medical Diagnostics Market Size in USD million (2022-2032)
    • 7.4.3.5 South Korea Artificial Intelligence (AI) in Medical Diagnostics Market Size in USD million (2022-2032)
    • 7.4.3.6 Rest of Asia-Pacific Artificial Intelligence (AI) in Medical Diagnostics Market Size in USD million (2022-2032)
  • 7.4.4 Rest of the World (RoW)
    • 7.4.4.1 Middle East Artificial Intelligence (AI) in Medical Diagnostics Market Size in USD million (2022-2032)
    • 7.4.4.2 Africa Artificial Intelligence (AI) in Medical Diagnostics Market Size in USD million (2022-2032)
    • 7.4.4.3 South America Artificial Intelligence (AI) in Medical Diagnostics Market Size In USD Million (2022-2032)

8. Competitive Landscape

9. Startup Funding & Investment Trends

10. Artificial Intelligence (AI) in Medical Diagnostics Market Company and Product Profiles

• 10.1 GE HealthCare
  • 10.1.1 Company Overview
  • 10.1.2 Company Snapshot
  • 10.1.3 Financial Overview
  • 10.1.4 Product Listing
  • 10.1.5 Entropy
• 10.2 Aidoc
  • 10.2.1 Company Overview
  • 10.2.2 Company Snapshot
  • 10.2.3 Financial Overview
  • 10.2.4 Product Listing
  • 10.2.5 Entropy
• 10.3 Qure.ai
  • 10.3.1 Company Overview
  • 10.3.2 Company Snapshot
  • 10.3.3 Financial Overview
  • 10.3.4 Product Listing
  • 10.3.5 Entropy
• 10.4 Siemens Healthineers
  • 10.4.1 Company Overview
  • 10.4.2 Company Snapshot
  • 10.4.3 Financial Overview
  • 10.4.4 Product Listing
  • 10.4.5 Entropy
• 10.5 PathAI
  • 10.5.1 Company Overview
  • 10.5.2 Company Snapshot
  • 10.5.3 Financial Overview
  • 10.5.4 Product Listing
  • 10.5.5 Entropy
• 10.6 Ibex
  • 10.6.1 Company Overview
  • 10.6.2 Company Snapshot
  • 10.6.3 Financial Overview
  • 10.6.4 Product Listing
  • 10.6.5 Entropy
• 10.7 Owkin, Inc
  • 10.7.1 Company Overview
  • 10.7.2 Company Snapshot
  • 10.7.3 Financial Overview
  • 10.7.4 Product Listing
  • 10.7.5 Entropy
• 10.8 Imagen Technologies
  • 10.8.1 Company Overview
  • 10.8.2 Company Snapshot
  • 10.8.3 Financial Overview
  • 10.8.4 Product Listing
  • 10.8.5 Entropy
• 10.9 Aiforia
  • 10.9.1 Company Overview
  • 10.9.2 Company Snapshot
  • 10.9.3 Financial Overview
  • 10.9.4 Product Listing
  • 10.9.5 Entropy
• 10.10 RADLogics
  • 10.10.1 Company Overview
  • 10.10.2 Company Snapshot
  • 10.10.3 Financial Overview
  • 10.10.4 Product Listing
  • 10.10.5 Entropy
• 10.11 Tecomet Inc.
  • 10.11.1 Company Overview
  • 10.11.2 Company Snapshot
  • 10.11.3 Financial Overview
  • 10.11.4 Product Listing
  • 10.11.5 Entropy
• 10.12 Prenosis, Inc.
  • 10.12.1 Company Overview
  • 10.12.2 Company Snapshot
  • 10.12.3 Financial Overview
  • 10.12.4 Product Listing
  • 10.12.5 Entropy
• 10.13 Riverain Technologies
  • 10.13.1 Company Overview
  • 10.13.2 Company Snapshot
  • 10.13.3 Financial Overview
  • 10.13.4 Product Listing
  • 10.13.5 Entropy
• 10.14 Envisionit Deep AI (Pty) Ltd.
  • 10.14.1 Company Overview
  • 10.14.2 Company Snapshot
  • 10.14.3 Financial Overview
  • 10.14.4 Product Listing
  • 10.14.5 Entropy
• 10.15 Deep Bio Inc.
  • 10.15.1 Company Overview
  • 10.15.2 Company Snapshot
  • 10.15.3 Financial Overview
  • 10.15.4 Product Listing
  • 10.15.5 Entropy

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