세계의 인공지능(AI) 암 진단 시장 : 인사이트, 경쟁 구도, 시장 예측(-2032년)

Artificial Intelligence (AI) in Cancer Diagnostics Market Summary

• The global Artificial Intelligence (AI) in Cancer Diagnostics market is expected to increase from USD 1,049.18 million in 2024 to USD 2,434.32 million by 2032, reflecting strong and sustained growth.
• The global Artificial Intelligence (AI) in Cancer Diagnostics market is growing at a CAGR of 11.16% during the forecast period from 2025 to 2032.
• The global Artificial Intelligence (AI) in Cancer Diagnostics market is growing rapidly due to rising cancer incidence, which drives demand for early and accurate detection. Increased integration of AI with medical imaging, including CT scans, MRIs, mammograms, and pathology slides, enhances diagnostic precision, reduces errors, and enables personalized treatment. Strategic initiatives by key market players, such as product launches, collaborations, and acquisitions, are further expanding technological capabilities and market reach. Together, these factors are accelerating AI adoption, improving patient outcomes, and transforming cancer diagnostics.
• The leading companies operating in the Artificial Intelligence (AI) in Cancer Diagnostics market include iCAD, Inc., ibex-ai, Roche Diagnostics, Kheiron Medical Technologies Limited, MVision AI Inc., Siemens Healthineers AG, GE HealthCare, NVIDIA Corporation, Digital Diagnostics Inc., IBM Corporation, Azra AI, ConcertAI, PathAI, Median Technologies, Paige AI Inc., Therapixel, Flatiron, Freenome Holdings Inc., Onc.AI, Sonrai Analytics, and Others.
• North America is expected to remain a dominant force in the Artificial Intelligence (AI) in Cancer Diagnostics market. This can be attributed to the region's high cancer prevalence, increasing demand for advanced diagnostic solutions, strong government support, and substantial investments in AI-driven healthcare technologies. The presence of leading AI developers and prominent medical imaging companies further fuels market expansion. The integration of AI with electronic health records (EHRs), precision medicine, and digital pathology is significantly enhancing the efficiency, accuracy, and speed of cancer detection and diagnosis across the region.
• In the component segment of the Artificial Intelligence (AI) in Cancer Diagnostics market, the software category is estimated to account for the largest market share in 2024.

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

• The Rising Cancer Incidence: The growing incidence of cancer worldwide is a major driver of the Artificial Intelligence (AI) in cancer diagnostics market. As the number of new cancer cases continues to rise, healthcare systems face increasing pressure to provide timely and accurate diagnoses. This urgent need is prompting hospitals and diagnostic centers to adopt AI-based solutions that can detect cancer early, improve prognostic accuracy, and support effective treatment planning. The increasing disease burden directly fuels demand for advanced diagnostic technologies, positioning AI as a critical tool in modern oncology care.
• Increase integration of AI with medical imaging for cancer diagnostics: The integration of AI with medical imaging modalities such as CT scans, MRIs, mammograms, and pathology slides is enhancing the precision, efficiency, and reliability of cancer diagnostics. AI algorithms can process and analyze large volumes of complex imaging data quickly, identify subtle abnormalities that may be missed by human radiologists, and reduce false positives and negatives. This capability not only accelerates diagnosis but also supports personalized treatment planning, ultimately improving patient outcomes and optimizing clinical workflows across healthcare institutions..
• Increase in strategic activities among the key market players across the globe: Strategic activities by key market players, including product launches, mergers, acquisitions, and collaborations, are playing a significant role in shaping the AI in cancer diagnostics market. These initiatives enable companies to expand their technological capabilities, develop innovative AI-driven diagnostic solutions, and extend their global market presence. Collaborative efforts with research institutions, hospitals, and technology providers also accelerate the commercialization of cutting-edge AI tools, fostering innovation and strengthening the adoption of AI technologies in oncology care worldwide.

Artificial Intelligence (AI) in Cancer Diagnostics Market Report Segmentation

This Artificial Intelligence (AI) in Cancer Diagnostics market report offers a comprehensive overview of the global Artificial Intelligence (AI) in Cancer Diagnostics market, highlighting key trends, growth drivers, challenges, and opportunities. It covers detailed market segmentation by Component (Software and Services), Cancer Type (Breast Cancer, Lung Cancer, Colorectal Cancer, Prostate Cancer, Brain & Nervous System Cancers, and Others), End-Users (Hospitals, Diagnostic Centers, 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 (AI) in Cancer Diagnostics market.

Artificial Intelligence (AI) in Cancer 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 (AI) in cancer diagnostics market is being driven by multiple interrelated factors. The rising incidence of cancer worldwide is creating an urgent need for early and accurate detection, prompting healthcare providers to adopt advanced AI-powered diagnostic solutions that can improve prognostic accuracy and support effective treatment planning. Simultaneously, the increasing integration of AI with medical imaging modalities, including CT scans, MRIs, mammograms, and pathology slides, is enhancing diagnostic precision and efficiency.

AI algorithms can rapidly analyze large volumes of complex imaging data, detect subtle abnormalities that may be overlooked by human radiologists, and reduce false positives and negatives, thereby accelerating diagnosis and enabling personalized treatment strategies. In addition, strategic activities among key market players, such as product launches, mergers, acquisitions, and collaborations, are further strengthening the market. These initiatives expand technological capabilities, foster innovation, and broaden the global reach of AI-driven cancer diagnostic solutions.

Collectively, these factors are driving the rapid adoption of AI in oncology, improving patient outcomes, optimizing clinical workflows, and transforming the landscape of cancer diagnostics worldwide.

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

The artificial intelligence in cancer diagnostics market is experiencing substantial growth, driven by the rising incidence of cancer and the increasing demand for early and accurate detection. The integration of AI with medical imaging technologies, including CT scans, MRIs, mammograms, and pathology slides, is enhancing diagnostic precision, minimizing errors, and enabling personalized treatment strategies. Strategic initiatives by leading market players, such as product launches, partnerships, and acquisitions, are further strengthening technological capabilities and expanding market presence. Collectively, these factors are driving widespread adoption of AI, improving patient outcomes, and transforming the landscape of cancer diagnostics globally.

Cancer continues to be a primary driver of market growth. According to DelveInsight analysis, the estimated number of new cancer cases worldwide is expected to reach 21.5 million in 2025, rising to 32.5 million by 2045. Breast cancer accounted for approximately 2.5 million new cases globally in 2025, projected to increase to 3.35 million by 2045, while prostate cancer cases are estimated at 1.55 million in 2025, expected to rise to 2.85 million by 2050. This growing global cancer burden is intensifying the demand for advanced diagnostic solutions, with AI playing a pivotal role in early detection, accuracy, and improving treatment outcomes. Traditional diagnostic methods, such as biopsies and manual interpretation of imaging, are often time-consuming and prone to human error. In contrast, AI-powered solutions automate detection, analyze vast datasets from imaging modalities, and integrate genomic and patient data to support oncologists in developing personalized treatment plans.

The integration of AI with medical imaging is revolutionizing cancer diagnostics by enhancing accuracy, efficiency, and early detection. AI-driven imaging solutions, leveraging deep learning algorithms and computer vision, can detect patterns and anomalies that may be overlooked by human observers. These technologies improve image segmentation, lesion detection, and tumor classification, enabling earlier and more precise diagnoses. Advanced AI models can differentiate between benign and malignant tumors with higher sensitivity and specificity, reducing false positives and unnecessary biopsies. Additionally, AI-powered tools assist in monitoring tumor progression, evaluating treatment responses, and predicting disease recurrence, empowering oncologists to make informed decisions for individualized patient care.

Strategic initiatives by key market players are further accelerating market growth. For instance, in September 2024, Roche expanded its digital pathology platform by integrating over 20 advanced AI algorithms from eight new collaborators through its navify(R) Digital Pathology enterprise software. This initiative enhances cancer research and diagnostic capabilities, providing pathologists with seamless access to cutting-edge AI innovations and strengthening the adoption of AI solutions in clinical practice.

Thus, the combination of rising cancer prevalence, continuous technological innovations, and proactive industry strategies is expected to drive significant growth in the global AI in cancer diagnostics market throughout the forecast period, reshaping oncology care and improving diagnostic precision worldwide.

However, the growth of the global Artificial Intelligence (AI) in cancer diagnostics market, particularly in the machine learning and oncology segments, faces significant challenges. Limited data availability and variable quality pose major obstacles, as AI systems require large, high-quality datasets to train algorithms effectively. Inconsistent or incomplete medical imaging, genomic, and clinical data can compromise model accuracy and reduce diagnostic reliability. Additionally, strict regulatory and ethical concerns further constrain market expansion. AI-driven diagnostic tools must undergo extensive clinical validation to demonstrate safety, accuracy, and efficacy, and navigating complex regulatory frameworks across multiple regions can delay approvals and product launches. Ethical considerations, including patient consent, data privacy, and equitable access, add another layer of complexity to implementation.

Collectively, limited data quality and availability, combined with stringent regulatory and ethical requirements, restrict the full potential of AI in cancer diagnostics, even as these technologies continue to enhance early detection, improve workflow efficiency, and support precision medicine initiatives in oncology.

Artificial Intelligence (AI) in Cancer Diagnostics Market Segment Analysis

Artificial Intelligence (AI) in Cancer Diagnostics Market by Component (Software and Services), Cancer Type (Breast Cancer, Lung Cancer, Colorectal Cancer, Prostate Cancer, Brain & Nervous System Cancers, and Others), End-Users (Hospitals, Diagnostic Centers, and Others), and Geography (North America, Europe, Asia-Pacific, and Rest of the World)

Artificial Intelligence (AI) in Cancer Diagnostics Market Regional Analysis

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

North America, led by the U.S., accounted for a dominant 51% share of the global Artificial Intelligence (AI) in Cancer Diagnostics market in 2024. North America's dominance in the artificial intelligence (AI) in cancer diagnostics market can be attributed to the region's high cancer prevalence, increasing demand for advanced diagnostic solutions, strong government support, and substantial investments in AI-driven healthcare technologies. The presence of leading AI developers and prominent medical imaging companies further fuels market expansion. The integration of AI with electronic health records (EHRs), precision medicine, and digital pathology is significantly enhancing the efficiency, accuracy, and speed of cancer detection and diagnosis across the region.

According to DelveInsight (2025), North America is projected to record approximately 2.9 million new cancer cases in 2025, rising to 3.85 million by 2045. Breast cancer, a major contributor to the overall cancer burden, accounted for around 325,000 new cases in 2025, with numbers expected to increase to 385,000 by 2045. AI-powered diagnostic solutions are playing a critical role in breast cancer detection by analyzing mammograms, ultrasounds, and MRI scans with remarkable precision. These technologies not only reduce false positives and negatives but also enhance diagnostic confidence. Advanced machine learning algorithms can identify subtle imaging patterns that may be overlooked by human radiologists, enabling earlier and more accurate diagnoses. Additionally, AI supports comprehensive risk assessment, tumor classification, and personalized treatment planning by integrating imaging data with genomic and clinical information.

The North American market is further strengthened by strategic initiatives among key industry players, including mergers and acquisitions, regulatory approvals, and new product launches. These activities accelerate technological advancements, expand product portfolios, and reinforce market presence, facilitating the introduction of innovative AI-driven solutions for cancer detection and treatment. For instance, in October 2023, Philips partnered with Quibim, a specialist in imaging biomarkers, to launch AI-powered imaging and reporting solutions for magnetic resonance (MR) prostate screenings. Collaborations of this nature are instrumental in advancing diagnostic capabilities and addressing the region's growing healthcare demands.

Thus, the combination of rising cancer incidence, continuous technological innovation, supportive regulatory frameworks, and proactive industry strategies is expected to propel the AI in cancer diagnostics market in North America throughout the forecast period from 2025 to 2032.

Europe Artificial Intelligence (AI) in Cancer Diagnostics Market Trends

The Europe artificial intelligence (AI) in cancer diagnostics market is experiencing steady growth, supported by well-established healthcare systems, strong research and development capabilities, and favorable government policies promoting digital health adoption. Countries such as Germany, the United Kingdom, France, and the Netherlands are leading the adoption of AI-powered diagnostic tools, particularly in imaging, pathology, and predictive analytics, to enhance early cancer detection, improve diagnostic accuracy, and support personalized treatment strategies.

Collaborative initiatives between hospitals, academic institutions, and technology providers are fostering innovation and accelerating the commercialization of AI solutions. Regulatory frameworks, including the European Union's Medical Device Regulation (MDR) and guidelines on AI in healthcare, are shaping market dynamics by ensuring safety, efficacy, and interoperability of AI-based diagnostic systems. Additionally, the growing integration of cloud computing, big data analytics, and telehealth solutions is enabling scalable and efficient deployment of AI tools across clinical settings. Startups and mid-sized companies are actively contributing to market growth through niche AI applications and innovative platforms, while established players continue to leverage their extensive data resources and technological expertise.

Hence, the European market is marked by a balanced interplay between innovation, regulatory compliance, and technological sophistication, driving the widespread adoption of AI in cancer diagnostics and reinforcing Europe's position as a key player in the global landscape.

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

The Asia-Pacific artificial intelligence (AI) in cancer diagnostics market is witnessing rapid growth, driven by rising cancer prevalence, increasing healthcare expenditure, and the adoption of advanced digital technologies across the region. Countries such as China, Japan, India, and South Korea are emerging as key hubs for AI-driven diagnostic solutions due to significant investments in healthcare infrastructure, government initiatives promoting AI integration, and a growing pool of skilled professionals in data science and medical imaging.

AI applications in imaging, pathology, and genomics are being increasingly utilized to enhance early detection, improve diagnostic accuracy, and enable personalized treatment planning. Collaborations between hospitals, research institutions, and technology providers are accelerating the development and deployment of locally relevant AI solutions, while startups are focusing on cost-effective, scalable platforms to address the diverse healthcare needs of the region. Regulatory frameworks are evolving to accommodate AI-based medical technologies, with authorities emphasizing clinical validation, data privacy, and interoperability standards, thereby fostering greater trust and adoption. Moreover, the integration of cloud computing, telemedicine, and mobile diagnostic tools is expanding access to AI-enabled cancer diagnostics, particularly in rural and underserved areas.

Therefore, the Asia-Pacific market is characterized by dynamic innovation, increasing public and private sector investment, and a strong focus on localized, patient-centric AI solutions, positioning the region as a rapidly growing contributor to the global AI in cancer diagnostics landscape.

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

The following are the leading companies in the Artificial Intelligence (AI) in Cancer Diagnostics market. These companies collectively hold the largest market share and dictate industry trends.

• iCAD, Inc.
• ibex-ai
• Roche Diagnostics
• Kheiron Medical Technologies Limited
• MVision AI Inc.
• Siemens Healthineers AG
• GE HealthCare
• NVIDIA Corporation
• Digital Diagnostics Inc.
• IBM Corporation
• Azra AI
• ConcertAI
• PathAI
• Median Technologies
• Paige AI Inc.
• Therapixel
• Flatiron
• Freenome Holdings Inc.
• Onc.AI
• Sonrai Analytics

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

The competitive landscape of the artificial intelligence (AI) in cancer diagnostics market is moderately concentrated, characterized by the presence of a few dominant players alongside a growing number of emerging startups driving innovation. Established companies such as IBM Watson Health, Google Health, Siemens Healthineers, GE HealthCare, and Philips are leveraging their strong R&D capabilities, extensive data ecosystems, and partnerships with healthcare institutions to strengthen their market positions.

These firms are actively integrating AI into existing imaging and diagnostic platforms, expanding their oncology-focused product portfolios, and investing in predictive analytics and precision medicine solutions. Meanwhile, startups and mid-sized firms are contributing to market dynamism through specialized AI algorithms, cloud-based diagnostic platforms, and advanced pathology solutions targeting niche cancer types.

Strategic collaborations, mergers and acquisitions, and venture funding are becoming key growth strategies, enabling players to enhance their technological depth and expand geographically. Furthermore, the rising demand for interoperable and regulatory-compliant AI tools has prompted companies to prioritize FDA clearances, CE markings, and clinical validation studies to build market credibility. Despite the dominance of major players, the market remains open to innovation, with AI-driven advancements in multi-modal diagnostics, real-time image interpretation, and biomarker discovery creating opportunities for new entrants.

Hence, the competitive landscape reflects a balance between established global leaders and agile innovators, collectively accelerating the adoption of AI technologies in cancer diagnostics while maintaining a moderately concentrated market structure.

Recent Developmental Activities in Artificial Intelligence (AI) in Cancer Diagnostics Market

• In August 2025, Esaote announced FDA approval of its MyLab(TM) A50 and MyLab(TM) A70 ultrasound systems. Previously unveiled internationally, these portable, high-performance imaging platforms are now cleared for U.S. distribution, marking a key milestone in Esaote's commitment to innovation in diagnostic imaging.
• In August 2025, the FDA granted De Novo authorization to ArteraAI Prostate, making it the first AI-powered Software as a Medical Device for prognosticating long-term outcomes in non-metastatic prostate cancer.

Artificial Intelligence (AI) in Cancer Diagnostics Market Segmentation

• Artificial Intelligence (AI) in Cancer Diagnostics by Component Exposure
• Software
• Services
• Artificial Intelligence (AI) in Cancer Diagnostics Application Exposure
• Breast Cancer
• Lung Cancer
• Colorectal Cancer
• Prostate Cancer
• Brain & Nervous System Cancers
• Others
• Artificial Intelligence (AI) in Cancer Diagnostics End-Users Exposure
• Hospitals
• Diagnostic Centre
• Others
• Artificial Intelligence (AI) in Cancer Diagnostics Geography Exposure
• North America Artificial Intelligence (AI) in Cancer Diagnostics Market
• United States Artificial Intelligence (AI) in Cancer Diagnostics Market
• Canada Artificial Intelligence (AI) in Cancer Diagnostics Market
• Mexico Artificial Intelligence (AI) in Cancer Diagnostics Market
• Europe Artificial Intelligence (AI) in Cancer Diagnostics Market
• United Kingdom Artificial Intelligence (AI) in Cancer Diagnostics Market
• Germany Artificial Intelligence (AI) in Cancer Diagnostics Market
• France Artificial Intelligence (AI) in Cancer Diagnostics Market
• Italy Artificial Intelligence (AI) in Cancer Diagnostics Market
• Spain Artificial Intelligence (AI) in Cancer Diagnostics Market
• Rest of Europe Artificial Intelligence (AI) in Cancer Diagnostics Market
• Asia-Pacific Artificial Intelligence (AI) in Cancer Diagnostics Market
• China Artificial Intelligence (AI) in Cancer Diagnostics Market
• Japan Artificial Intelligence (AI) in Cancer Diagnostics Market
• India Artificial Intelligence (AI) in Cancer Diagnostics Market
• Australia Artificial Intelligence (AI) in Cancer Diagnostics Market
• South Korea Artificial Intelligence (AI) in Cancer Diagnostics Market
• Rest of Asia-Pacific Artificial Intelligence (AI) in Cancer Diagnostics Market
• Rest of the World Artificial Intelligence (AI) in Cancer Diagnostics Market
• South America Artificial Intelligence (AI) in Cancer Diagnostics Market
• Middle East Artificial Intelligence (AI) in Cancer Diagnostics Market
• Africa Artificial Intelligence (AI) in Cancer Diagnostics Market

Impact Analysis

AI-Powered Innovations and Applications:

AI-powered innovations and applications are transforming the landscape of cancer diagnostics by enhancing accuracy, efficiency, and personalization in disease detection and management. Advanced machine learning and deep learning algorithms are increasingly being integrated into imaging modalities such as MRI, CT, and PET scans to improve early cancer detection, automate image interpretation, and minimize diagnostic errors. AI-driven tools can analyze complex datasets, including genomic, proteomic, and histopathological information, to identify biomarkers and predict treatment responses, paving the way for precision oncology.

Natural language processing (NLP) applications are also revolutionizing data management by extracting valuable insights from electronic health records, pathology reports, and clinical notes, thereby supporting clinical decision-making and reducing physician workload. Moreover, the adoption of AI-based predictive analytics enables real-time risk assessment and patient stratification, helping clinicians tailor therapies more effectively. Continuous advancements in cloud computing, federated learning, and edge AI are further enabling secure, scalable, and collaborative model development across institutions without compromising patient privacy. Therefore, the integration of AI-powered innovations in cancer diagnostics is not only accelerating diagnostic workflows and improving prognostic accuracy but also driving a paradigm shift toward data-driven, patient-centric oncology care.

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

U.S. tariff policies can significantly influence the growth and competitiveness of artificial intelligence (AI) in cancer diagnostics market by affecting costs, supply chains, and innovation cycles. Tariffs imposed on imported components such as semiconductors, GPUs, imaging hardware, or laboratory reagents increase production and operational expenses for companies developing AI-based diagnostic tools. This escalation in costs often leads to higher prices for hospitals, laboratories, and ultimately patients, potentially slowing the adoption of AI technologies in oncology. Smaller startups may find it especially difficult to sustain innovation under these conditions, as rising hardware and data processing costs can limit their ability to train and update models efficiently. On the other hand, tariff measures may encourage domestic manufacturing and investment in local supply chains, enhancing long-term resilience and reducing reliance on imports. However, transitioning to local production requires substantial time and capital investment, which may cause temporary supply constraints.

Additionally, higher diagnostic costs may influence reimbursement decisions, as payers and healthcare systems become more cautious about covering expensive AI-driven tests. To mitigate these challenges, companies are exploring strategies such as expanding cloud-based operations, seeking tariff exemptions for research tools, or forming international partnerships to balance costs and maintain innovation momentum. In essence, while U.S. tariffs aim to protect domestic industries, their short-term impact on the AI in cancer diagnostics market may include higher costs and slower innovation, even as they potentially strengthen domestic technological capacity over the long term.

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 Cancer Diagnostics market report study

• Market size analysis for the current Artificial Intelligence (AI) in Cancer 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 (AI) in Cancer Diagnostics market.
• Various opportunities available for the other competitors in the Artificial Intelligence (AI) in Cancer 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 (AI) in Cancer Diagnostics market scenario?
• Which are the regions and countries where companies should have concentrated on opportunities for Artificial Intelligence (AI) in Cancer Diagnostics market growth in the future?

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

1. What is the growth rate of Artificial Intelligence (AI) in Cancer Diagnostics market?

• The Artificial Intelligence (AI) in Cancer Diagnostics market is estimated to grow at a CAGR of 11.16% during the forecast period from 2025 to 2032.

2. What is the market for Artificial Intelligence (AI) in Cancer Diagnostics?

• The Artificial Intelligence (AI) in Cancer Diagnostics market was valued at USD 1,049.18 million in 2024, and is expected to reach USD 2,434.32 million by 2032.

3. Which region has the highest share in the Artificial Intelligence (AI) in Cancer Diagnostics market?

• North America is expected to remain a dominant force in the Artificial Intelligence (AI) in Cancer Diagnostics market. This can be attributed to the region's high cancer prevalence, increasing demand for advanced diagnostic solutions, strong government support, and substantial investments in AI-driven healthcare technologies. The presence of leading AI developers and prominent medical imaging companies further fuels market expansion. The integration of AI with electronic health records (EHRs), precision medicine, and digital pathology is significantly enhancing the efficiency, accuracy, and speed of cancer detection and diagnosis across the region.

4. What are the drivers for Artificial Intelligence (AI) in Cancer Diagnostics market?

• The global Artificial Intelligence (AI) in Cancer Diagnostics market is growing rapidly due to rising cancer incidence, which drives demand for early and accurate detection. Increased integration of AI with medical imaging, including CT scans, MRIs, mammograms, and pathology slides, enhances diagnostic precision, reduces errors, and enables personalized treatment. Strategic initiatives by key market players, such as product launches, collaborations, and acquisitions, are further expanding technological capabilities and market reach. Together, these factors are accelerating AI adoption, improving patient outcomes, and transforming cancer diagnostics.

5. Who are the key players operating in the Artificial Intelligence (AI) in Cancer Diagnostics market?

• Some of the key market players operating in the Artificial Intelligence (AI) in Cancer Diagnostics market include iCAD, Inc., ibex-ai, Roche Diagnostics, Kheiron Medical Technologies Limited, MVision AI Inc., Siemens Healthineers AG, GE HealthCare, NVIDIA Corporation, Digital Diagnostics Inc., IBM Corporation, Azra AI, ConcertAI, PathAI, Median Technologies, Paige AI Inc., Therapixel, Flatiron, Freenome Holdings Inc., Onc.AI, Sonrai Analytics, and Others.

Table of Contents

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

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

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

• 2.1 Market at Glance

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

• 3.1 Artificial Intelligence (AI) in Cancer Diagnostics Market Drivers
  • 3.1.1 The rising cancer incidence
  • 3.1.2 Increase the integration of AI with medical imaging for cancer diagnostics
  • 3.1.3 Increase in strategic activities among the key market players across the globe
• 3.2 Artificial Intelligence (AI) in Cancer Diagnostics Market Restraints and Challenges
  • 3.2.1 Limited data availability and quality
  • 3.2.2 Strict regulatory and ethical concerns
• 3.3 Artificial Intelligence (AI) in Cancer Diagnostics Market Opportunity
  • 3.3.1 The rise of cloud computing and AI-based SaaS (Software as a Service) models

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 Cancer 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 Cancer Diagnostics Market Assessment

• 7.1 By Component
  • 7.1.1 Software
  • 7.1.2 Services
• 7.2 By Cancer Type
  • 7.2.1 Breast Cancer
  • 7.2.2 Lung Cancer
  • 7.2.3 Colorectal Cancer
  • 7.2.4 Prostate Cancer
  • 7.2.5 Brain & Nervous System Cancers
  • 7.2.6 Others
• 7.3 By End-Users
  • 7.3.1 Hospitals
  • 7.3.2 Diagnostic Centre
  • 7.3.3 Others
• 7.4 By Geography
  • 7.4.1 North America
    • 7.4.1.1 United States Artificial Intelligence (AI) in Cancer Diagnostics Market Size in USD million (2022-2032)
    • 7.4.1.2 Canada Artificial Intelligence (AI) in Cancer Diagnostics Market Size in USD million (2022-2032)
    • 7.4.1.3 Mexico Artificial Intelligence (AI) in Cancer Diagnostics Market Size in USD million (2022-2032)
  • 7.4.2 Europe
    • 7.4.2.1 France Artificial Intelligence (AI) in Cancer Diagnostics Market Size in USD million (2022-2032)
    • 7.4.2.2 Germany Artificial Intelligence (AI) in Cancer Diagnostics Market Size in USD million (2022-2032)
    • 7.4.2.3 United Kingdom Artificial Intelligence (AI) in Cancer Diagnostics Market Size in USD million (2022-2032)
    • 7.4.2.4 Italy Artificial Intelligence (AI) in Cancer Diagnostics Market Size in USD million (2022-2032)
    • 7.4.2.5 Spain Artificial Intelligence (AI) in Cancer Diagnostics Market Size in USD million (2022-2032)
    • 7.4.2.6 Rest of Europe Artificial Intelligence (AI) in Cancer Diagnostics Market Size in USD million (2022-2032)
  • 7.4.3 Asia-Pacific
    • 7.4.3.1 China Artificial Intelligence (AI) in Cancer Diagnostics Market Size in USD million (2022-2032)
    • 7.4.3.2 Japan Artificial Intelligence (AI) in Cancer Diagnostics Market Size in USD million (2022-2032)
    • 7.4.3.3 India Artificial Intelligence (AI) in Cancer Diagnostics Market Size in USD million (2022-2032)
    • 7.4.3.4 Australia Artificial Intelligence (AI) in Cancer Diagnostics Market Size in USD million (2022-2032)
    • 7.4.3.5 South Korea Artificial Intelligence (AI) in Cancer Diagnostics Market Size in USD million (2022-2032)
    • 7.4.3.6 Rest of Asia-Pacific Artificial Intelligence (AI) in Cancer 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 Cancer Diagnostics Market Size in USD million (2022-2032)
    • 7.4.4.2 Africa Artificial Intelligence (AI) in Cancer Diagnostics Market Size in USD million (2022-2032)
    • 7.4.4.3 South America Artificial Intelligence (AI) in Cancer Diagnostics Market Size In USD Million (2022-2032)

8. Competitive Landscape

9. Startup Funding & Investment Trends

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

• 10.1 iCAD, Inc.
  • 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 ibex-ai
  • 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 Roche Diagnostics
  • 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 Kheiron Medical Technologies Limited
  • 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 MVision AI Inc.
  • 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 Siemens Healthineers AG
  • 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 GE HealthCare
  • 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 NVIDIA Corporation
  • 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 Digital Diagnostics Inc.
  • 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 IBM Corporation
  • 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 Azra AI
  • 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 ConcertAI
  • 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 PathAI
  • 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 Median Technologies
  • 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 Paige AI 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
• 10.16 Therapixel
  • 10.16.1 Company Overview
  • 10.16.2 Company Snapshot
  • 10.16.3 Financial Overview
  • 10.16.4 Product Listing
  • 10.16.5 Entropy
• 10.17 Flatiron,
  • 10.17.1 Company Overview
  • 10.17.2 Company Snapshot
  • 10.17.3 Financial Overview
  • 10.17.4 Product Listing
  • 10.17.5 Entropy
• 10.18 Freenome Holdings Inc.
  • 10.18.1 Company Overview
  • 10.18.2 Company Snapshot
  • 10.18.3 Financial Overview
  • 10.18.4 Product Listing
  • 10.18.5 Entropy
• 10.19 Onc.AI
  • 10.19.1 Company Overview
  • 10.19.2 Company Snapshot
  • 10.19.3 Financial Overview
  • 10.19.4 Product Listing
  • 10.19.5 Entropy
• 10.20 Sonrai Analytics
  • 10.20.1 Company Overview
  • 10.20.2 Company Snapshot
  • 10.20.3 Financial Overview
  • 10.20.4 Product Listing
  • 10.20.5 Entropy

11. KOL Views

12. Project Approach

13. About DelveInsight

14. Disclaimer & Contact Us