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市场调查报告书
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肿瘤学人工智慧市场按产品类型、技术、癌症类型、应用和最终用途划分 - 2025-2030 年全球预测

Artificial Intelligence in Oncology Market by Product Type, Technology, Cancer Type, Application, End-Use - Global Forecast 2025-2030
出版日期: | 出版商: 360iResearch | 英文 181 Pages | 商品交期: 最快1-2个工作天内

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肿瘤学人工智慧市场预计将从 2024 年的 232.5 亿美元成长到 2025 年的 276.7 亿美元，复合年增长率为 20.23%，到 2030 年将达到 702.6 亿美元。

主要市场统计数据
基准年 2024 年 232.5亿美元
预计 2025 年 276.7亿美元
预测年份 2030 702.6亿美元
复合年增长率（%） 20.23%

人工智慧已成为重塑肿瘤学领域的关键力量，推动了重新定义临床工作流程和患者照护的突破。在科技与医疗保健交叉的时代，先进的演算法和资料分析的整合为更准确的诊断、个人化的治疗计划以及提高医疗保健环境中的业务效率铺平了道路。本报告检验了先进的人工智慧解决方案如何不仅提高诊断准确性，而且在加速药物发现和优化治疗计划方面发挥关键作用。

人工智慧在肿瘤学领域的发展以重要的技术进步为特点，增强了决策和预测患者结果的可能性。从影像分析到预测模型，这些发展凸显了更具活力、反应更快的癌症治疗趋势。此外，随着多学科团队结合临床医生和技术人员的能力，利用人工智慧来解释复杂的资料模式并提供可行的见解，医疗保健领域正在经历模式转移。医疗专业知识与最尖端科技的结合为应对该领域的新挑战和释放新机会奠定了坚实的基础。

人工智慧推动肿瘤学的变革

人工智慧不仅仅是一种渐进式创新，它代表了肿瘤学领域的根本性转变。一系列突破性的转变正在重新定义医疗保健提供者处理癌症诊断、治疗计划和患者管理的方式。机器学习、进阶影像处理和预测分析的整合正在开启一个新时代，传统方法将被重新设计，以实现更高的准确性和效率。

自动成像和即时手术辅助等创新应用正在将理论可能性转化为常规临床现实。这次转型之旅的基础是演算法、资料管理技术和感测器系统的不断改进，这些改进使得人工智慧驱动的应用程式更加可靠和扩充性。此外，云端基础和本地解决方案的趋势为医疗保健提供者提供了灵活性，使他们能够无缝适应不断变化的监管要求和患者期望。

这种转变的影响显而易见，包括诊断错误减少、决策流程加快以及整体患者体验明显改善。透过将人工智慧与现有的医疗保健基础设施无缝集成，行业相关人员正在设定新的基准，有望彻底改变患者照护并重新定义整个肿瘤学领域的业务标准。

洞察关键细分市场 详细研究市场动态

对市场的详细分析表明，复杂而分层的细分结构正在推动创新并刺激肿瘤学领域的成长。第一层细分是基于产品类型，市场分为硬体、服务和软体解决方案。在硬体方面，重点是诊断影像和机器人手术系统；而在服务方面，重点是咨询和实施服务。软体解决方案部分进一步细分为云端基础的解决方案和内部部署工具，每个解决方案都为医疗保健提供者提供了独特的优势。

基于技术的细分透过分析电脑视觉、机器学习、自然语言处理和机器人流程自动化等领域进一步丰富了这一观点。电脑视觉是一个复杂的领域，涉及 3D 重建、影像识别和视讯分析，所有这些对于准确的诊断成像都至关重要。机器学习是透过深度学习、监督学习和无监督学习的子集进行探索的，而自然语言处理涵盖资料註释、情绪分析和文字探勘，以促进更细緻入微的洞察。机器人流程自动化的进步支持自动化工作流程、临床文件和流程映射的创新。

此外，市场细分也延伸到以癌症类型细分，全面涵盖乳癌、子宫颈癌、大肠癌、食道癌、肝癌、肺癌、皮肤癌、胃癌、甲状腺癌等，可以详细了解按疾病分類的趋势。市场区隔进一步将市场分为诊断、药物发现、结果预测、个人化医疗和治疗计划。每个应用类别中都有子领域，例如影像分析、分子诊断、诊断病理学、临床试验设计、先导化合物发现、药物发现中的标靶识别，以及结果预测、个人化医疗和治疗计划。最后，最终用途细分将市场分为诊断实验室、医院、製药公司和研究机构等应用，并进一步细分为基因组检测实验室、病理实验室、各种医院类型、製造商分类以及包括学术机构和生物技术公司在内的研究机构。

这种分层细分不仅说明了市场动态的多样性，也说明了客製化人工智慧应用程式满足整个肿瘤学领域特定需求的潜力。利用这些细分的见解，相关人员可以发现推动创新和业务效率并加强患者照护的市场和机会。

目录

第 1 章 简介

第二章调查方法

第三章执行摘要

第四章 市场概况

第五章 市场洞察

  • 市场动态
    • 驱动程式
      • 全球癌症患者数量不断增加，需要创新的人工智慧解决方案来加强护理。
      • 政府对医疗保健领域人工智慧研究的倡议和资助推动了肿瘤学领域的创新和应用
    • 限制因素
      • 开发和部署人工智慧的高成本和互通性问题
    • 机会
      • 肿瘤治疗提供者与 AI 技术提供者之间的重要伙伴关係
      • 远端医疗和远端监控的普及将带来人工智慧增强的远距肿瘤服务和护理
    • 任务
      • 确保公平性和减轻人工智慧演算法中的偏见以提供公平的肿瘤治疗的挑战
  • 市场区隔分析
    • 产品类型：资料管理和针对性决策的软体解决方案的重大开发
    • 最终用途：人工智慧解决方案的进步将提高学名药製造商的生产效率和品管措施
  • 波特五力分析
  • PESTEL 分析
    • 政治的
    • 经济
    • 社会的
    • 技术的
    • 合法的
    • 环境

第六章 肿瘤学人工智慧市场（依产品类型）

  • 硬体
    • 诊断影像系统
    • 机器人手术系统
  • 服务
    • 咨询服务
    • 实施服务
  • 软体解决方案
    • 云端基础的解决方案
    • 本地工具

7. 肿瘤学人工智慧市场（依技术划分）

  • 电脑视觉
    • 3D 重建
    • 影像识别
    • 影片分析
  • 机器学习
    • 深度学习
    • 监督学习
    • 无监督学习
  • 自然语言处理
    • 资料註释
    • 情绪分析
    • 文字探勘
  • 机器人流程自动化
    • 自动化工作流程
    • 临床文献
    • 流程图

8. 肿瘤学人工智慧市场（以癌症类型划分）

  • 乳癌
  • 子宫颈癌
  • 大肠直肠癌
  • 食道癌
  • 肝癌
  • 肺癌
  • 皮肤癌
  • 胃癌
  • 甲状腺癌

第九章 肿瘤学人工智慧市场的应用

  • 诊断
    • 影像分析
    • 分子诊断
    • 病理
    • 筛检
  • 药物研发
    • 临床试验设计
    • 先导发现
    • 目标识别
  • 结果预测
    • 併发症预测
    • 回应预测
    • 活力可视化
  • 个人化医疗
    • 生物标誌物识别
    • 基因资料数据分析
    • 优化治疗
  • 治疗计划
    • 化疗方案
    • 放射治疗计划
    • 手术计划

第 10 章 肿瘤学人工智慧市场（依最终用途划分）

  • 诊断实验室
    • 基因组检测设施
    • 病理实验室
  • 医院
    • 私立医院
    • 公立医院
  • 製药公司
    • 非专利药製造商
    • 创新公司
  • 研究组织
    • 学术机构
    • 生技公司

11. 美国肿瘤学人工智慧市场

  • 阿根廷
  • 巴西
  • 加拿大
  • 墨西哥
  • 美国

12. 亚太地区肿瘤学人工智慧市场

  • 澳洲
  • 中国
  • 印度
  • 印尼
  • 日本
  • 马来西亚
  • 菲律宾
  • 新加坡
  • 韩国
  • 台湾
  • 泰国
  • 越南

13. 欧洲、中东和非洲地区肿瘤学人工智慧市场

  • 丹麦
  • 埃及
  • 芬兰
  • 法国
  • 德国
  • 以色列
  • 义大利
  • 荷兰
  • 奈及利亚
  • 挪威
  • 波兰
  • 卡达
  • 俄罗斯
  • 沙乌地阿拉伯
  • 南非
  • 西班牙
  • 瑞典
  • 瑞士
  • 土耳其
  • 阿拉伯聯合大公国
  • 英国

第十四章 竞争格局

  • 2024 年市场占有率分析
  • FPNV 定位矩阵，2024 年
  • 竞争情境分析
  • 战略分析与建议

公司列表

  • Amazon Web Services, Inc.
  • Arterys, Inc.
  • Berg LLC
  • Bristol-Myers Squibb Company
  • Butterfly Network, Inc.
  • F. Hoffmann-La Roche Ltd.
  • Flatiron Health, Inc.
  • Freenome Holdings, Inc.
  • GE Healthcare
  • Google LLC by Alphabet Inc.
  • IBM Corporation
  • Intel Corporation
  • Koninklijke Philips NV
  • Medial EarlySign Ltd.
  • Microsoft Corporation
  • Nvidia Corporation
  • Oncora Medical, Inc.
  • Paige.AI Inc.
  • PathAI, Inc.
  • Siemens Healthineers AG
  • Tempus Labs, Inc.
  • Ultromics Limited
  • Viz.ai, Inc.
  • Zebra Medical Vision Ltd.
Product Code: MRR-5319A8C1C0D9

The Artificial Intelligence in Oncology Market was valued at USD 23.25 billion in 2024 and is projected to grow to USD 27.67 billion in 2025, with a CAGR of 20.23%, reaching USD 70.26 billion by 2030.

KEY MARKET STATISTICS
Base Year [2024] USD 23.25 billion
Estimated Year [2025] USD 27.67 billion
Forecast Year [2030] USD 70.26 billion
CAGR (%) 20.23%

Artificial Intelligence has emerged as a pivotal force in reshaping the landscape of oncology, facilitating breakthroughs that redefine clinical workflows and patient care. In an era where technology converges with medicine, the integration of advanced algorithms and data analytics paves the way for more precise diagnostics, personalized treatment plans, and improved operational efficiencies in healthcare environments. This report examines how sophisticated AI solutions are not only augmenting diagnostic accuracy but are also playing an instrumental role in accelerating drug discovery and optimizing treatment planning.

The evolution of AI in oncology is marked by significant technological advancements that enhance decision-making and patient outcome predictability. From image analysis to predictive modeling, these developments underscore a trend toward more dynamic and responsive cancer care. Furthermore, the healthcare landscape is witnessing a paradigm shift as interdisciplinary teams, combining the prowess of clinicians and technologists, leverage AI to interpret complex data patterns and deliver actionable insights. The convergence of medical expertise with state-of-the-art technology lays a robust foundation for addressing emerging challenges and unlocking new opportunities within the sector.

Transformative Shifts in the Oncology Landscape Driven by AI

Artificial Intelligence is not just an incremental innovation; it represents a radical transformation in the field of oncology. A series of groundbreaking shifts are redefining how healthcare providers approach cancer diagnosis, treatment planning, and patient management. The integration of machine learning, advanced image processing, and predictive analytics has ushered in a new era where traditional methods are reimagined for greater precision and efficiency.

Innovative applications such as automated diagnostic imaging and real-time surgical assistance are turning theoretical possibilities into everyday clinical realities. This transformative journey is supported by continuous improvements in algorithms, data management technologies, and sensor systems, which collectively bolster the reliability and scalability of AI-driven applications. Furthermore, the trend towards cloud-based and on-premise solutions offers flexibility to healthcare providers, allowing them to adapt seamlessly to evolving regulatory requirements and patient expectations.

The impact of these shifts is evident in the reduction of diagnostic errors, faster decision-making processes, and a marked improvement in the overall patient experience. By seamlessly integrating AI with existing healthcare infrastructures, industry stakeholders are setting new benchmarks that promise to revolutionize patient care and redefine operational standards across the oncology spectrum.

Key Segmentation Insights: A Detailed Examination of Market Dynamics

An in-depth analysis of the market reveals a complex and tiered segmentation structure that is driving innovation and fueling growth in the realm of oncology. One layer of segmentation is based on product type, where the market is dissected into hardware, services, and software solutions. Within hardware, significant emphasis is placed on diagnostic imaging systems and robotic surgical systems, while the services category delves into both consulting and implementation services. The software solutions segment further subdivides into cloud-based solutions and on-premise tools, each offering unique advantages to healthcare providers.

The segmentation based on technology further enriches this perspective by analyzing segments such as computer vision, machine learning, natural language processing, and robotic process automation. Computer vision is intricately studied in relation to 3D reconstruction, image recognition, and video analysis, which are critical for precise imaging diagnostics. Machine learning is explored through its subsets of deep learning, supervised learning, and unsupervised learning, while natural language processing covers data annotation, sentiment analysis, and text mining to facilitate more nuanced insights. Advances in robotic process automation underpin innovations in automated workflows, clinical documentation, and process mapping.

Additionally, the market analysis extends to segmentation by cancer type, which comprehensively covers breast cancer, cervical cancer, colorectal cancer, esophageal cancer, liver cancer, lung cancer, skin cancer, stomach (gastric) cancer, and thyroid cancer, providing a granular view of disease-specific trends. Application segmentation further categorizes the market into diagnostics, drug discovery, outcome prediction, personalized medicine, and treatment planning. Each application category opens up subdomains such as imaging analytics, molecular diagnostics, and pathology under diagnostics; clinical trial design, lead discovery, and target identification in drug discovery; and, similarly, specialized focus areas across outcome prediction, personalized medicine, and treatment planning. Finally, the end-use segmentation distinguishes the market along the use in diagnostic laboratories, hospitals, pharmaceutical companies, and research institutions, with further drilling down into genomic testing facilities, pathology labs, varied hospital types, manufacturer classifications, and research institutions including academic and biotech entities.

This layered segmentation not only illustrates the diversity of market dynamics but also signals the potential for tailored AI applications that cater to specific needs across the oncology spectrum. By leveraging these segmented insights, stakeholders can identify niches and opportunities that drive both innovation and operational efficiency while enhancing patient care.

Based on Product Type, market is studied across Hardware, Services, and Software Solutions. The Hardware is further studied across Diagnostic Imaging Systems and Robotic Surgical Systems. The Services is further studied across Consulting Services and Implementation Services. The Software Solutions is further studied across Cloud-Based Solutions and On-Premise Tools.

Based on Technology, market is studied across Computer Vision, Machine Learning, Natural Language Processing, and Robotic Process Automation. The Computer Vision is further studied across 3D Reconstruction, Image Recognition, and Video Analysis. The Machine Learning is further studied across Deep Learning, Supervised Learning, and Unsupervised Learning. The Natural Language Processing is further studied across Data Annotation, Sentiment Analysis, and Text Mining. The Robotic Process Automation is further studied across Automated Workflows, Clinical Documentation, and Process Mapping.

Based on Cancer Type, market is studied across Breast Cancer, Cervical Cancer, Colorectal Cancer, Esophageal Cancer, Liver Cancer, Lung Cancer, Skin Cancer, Stomach (Gastric) Cancer, and Thyroid Cancer.

Based on Application, market is studied across Diagnostics, Drug Discovery, Outcome Prediction, Personalized Medicine, and Treatment Planning. The Diagnostics is further studied across Imaging Analytics, Molecular Diagnostics, Pathology, and Screening. The Drug Discovery is further studied across Clinical Trials Design, Lead Discovery, and Target Identification. The Outcome Prediction is further studied across Complication Prediction, Response Prediction, and Survival Rate Visualization. The Personalized Medicine is further studied across Biomarker Identification, Genomic Data Analysis, and Therapeutic Optimization. The Treatment Planning is further studied across Chemotherapy Planning, Radiation Therapy Planning, and Surgical Planning.

Based on End-Use, market is studied across Diagnostic Laboratories, Hospitals, Pharmaceutical Companies, and Research Institutions. The Diagnostic Laboratories is further studied across Genomic Testing Facilities and Pathology Labs. The Hospitals is further studied across Private Hospitals and Public Hospitals. The Pharmaceutical Companies is further studied across Generic Manufacturers and Innovator Companies. The Research Institutions is further studied across Academic Institutions and Biotech Firms.

Key Regional Insights: Navigating Global Opportunities in Oncology

Regional dynamics play a critical role in shaping the adoption and expansion of AI-driven oncology solutions. The Americas continue to be at the forefront, driven by significant investments in healthcare technology and well-established research ecosystems. In this region, robust regulatory frameworks coupled with a high level of digital infrastructure support the rapid implementation of AI applications, thereby enhancing both diagnostic capabilities and treatment planning.

In contrast, the Europe, Middle East & Africa region presents a diverse mix of opportunities and challenges. European nations have long been pioneers in integrating technological advancements within their healthcare systems, benefiting from collaborative research and stringent regulatory standards. Meanwhile, emerging markets in the Middle East and Africa are rapidly embracing innovative healthcare technologies, leveraging AI to improve access to quality care and bridge the gap in service delivery.

The Asia-Pacific region is marked by dynamic growth, with substantial investments in research and development fueling advancements in oncology. The expanding digital ecosystem, combined with a large patient base and government initiatives towards healthcare modernization, makes Asia-Pacific a fertile ground for implementing advanced AI solutions. These regional insights underscore the importance of tailoring strategies to local market needs while exploiting global opportunities presented by the transformative capabilities of AI in oncology.

Based on Region, market is studied across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas is further studied across Argentina, Brazil, Canada, Mexico, and United States. The United States is further studied across California, Florida, Illinois, New York, Ohio, Pennsylvania, and Texas. The Asia-Pacific is further studied across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Taiwan, Thailand, and Vietnam. The Europe, Middle East & Africa is further studied across Denmark, Egypt, Finland, France, Germany, Israel, Italy, Netherlands, Nigeria, Norway, Poland, Qatar, Russia, Saudi Arabia, South Africa, Spain, Sweden, Switzerland, Turkey, United Arab Emirates, and United Kingdom.

Key Company Insights: Industry Leaders Driving Innovation in Oncology

Leading companies are at the heart of the AI revolution in oncology, each contributing to the rapid evolution of technology and clinical practice. The involvement of industry giants and innovative startups is reshaping the competitive landscape. Amazon Web Services, Inc. stands out as a prominent force, offering cloud computing power that underpins many AI solutions. Arterys, Inc. and Berg LLC are making significant strides with advanced analytical tools that integrate seamlessly into clinical workflows.

Bristol-Myers Squibb Company plays a vital role in bridging the gap between pharmaceuticals and AI, while Butterfly Network, Inc. is celebrated for its breakthrough innovations in portable imaging devices. The contributions of F. Hoffmann-La Roche Ltd. and Flatiron Health, Inc. further highlight a commitment to leveraging data for enhanced diagnostic accuracy and treatment personalization. Freenome Holdings, Inc. is at the forefront of early cancer detection, using AI to analyze complex datasets for early intervention.

Major technology providers such as GE Healthcare, Google LLC by Alphabet Inc., and IBM Corporation bring exceptional expertise in data processing and machine learning. Intel Corporation and Koninklijke Philips N.V. are innovating in the hardware space with advanced imaging and diagnostic instruments. Medial EarlySign Ltd., Microsoft Corporation, Nvidia Corporation, and Oncora Medical, Inc. are collectively advancing the field through integrated solutions that combine clinical data with AI insights. Emerging leaders like Paige.AI Inc., PathAI, Inc., Siemens Healthineers AG, Tempus Labs, Inc., Ultromics Limited, Viz.ai, Inc., and Zebra Medical Vision Ltd. also contribute significantly by harnessing novel technologies that promise to transform every aspect of oncology care.

This varied collection of industry players not only underscores the global commitment to advancing cancer care but also hints at the synergies that will continue to drive innovation in AI-driven oncology solutions.

The report delves into recent significant developments in the Artificial Intelligence in Oncology Market, highlighting leading vendors and their innovative profiles. These include Amazon Web Services, Inc., Arterys, Inc., Berg LLC, Bristol-Myers Squibb Company, Butterfly Network, Inc., F. Hoffmann-La Roche Ltd., Flatiron Health, Inc., Freenome Holdings, Inc., GE Healthcare, Google LLC by Alphabet Inc., IBM Corporation, Intel Corporation, Koninklijke Philips N.V., Medial EarlySign Ltd., Microsoft Corporation, Nvidia Corporation, Oncora Medical, Inc., Paige.AI Inc., PathAI, Inc., Siemens Healthineers AG, Tempus Labs, Inc., Ultromics Limited, Viz.ai, Inc., and Zebra Medical Vision Ltd.. Actionable Recommendations for Strategic Leadership in AI-Driven Oncology

Industry leaders are encouraged to adopt a forward-thinking approach that capitalizes on the transformative potential of AI in oncology. It is crucial to align investment strategies with emerging trends in technology, segmentation, and regional market dynamics. Decision-makers should prioritize the integration of robust AI systems that enhance diagnostic accuracy and streamline treatment processes, ensuring that clinical innovations translate into tangible patient benefits.

To secure a competitive edge, organizations must focus on fostering collaborative environments where cross-disciplinary teams can innovate effectively. By investing in strong data infrastructure and scalable AI solutions, healthcare providers can better manage the complexities of modern oncology care. Additionally, tailored strategies that consider regional regulatory frameworks and local market needs are imperative. Leaders must harness insights derived from detailed segmentation analysis-ranging from product type and specific technological advancements to cancer types and end-user scenarios-to ensure that strategic initiatives are both data-driven and contextually relevant.

Moreover, partnerships with leading technology providers and academic institutions should be prioritized to facilitate research and development. This collaboration could drive the refinement of algorithms and promote the standardization of AI applications in clinical settings. Lastly, continuous monitoring of key performance indicators and regular updates to strategic plans will ensure that organizations remain agile in the face of evolving industry trends, thereby transforming challenges into growth opportunities.

Conclusion: Embracing the Future of Oncology with AI Innovation

The synthesis of advanced AI technologies with the intricacies of oncology care represents a landmark shift in the healthcare industry. As this analysis has demonstrated, the evolution of AI in oncology is characterized by transformative shifts in clinical practice, multifaceted market segmentation, dynamic regional influences, and the significant participation of key industry players. These elements together form the backbone of a future where predictive analytics, automated diagnostic systems, and personalized treatment planning are not merely aspirational goals but integral components of everyday clinical practice.

Central to this paradigm shift is the recognition that the convergence of technology, data science, and clinical expertise heralds significant improvements in patient outcomes, operational efficiencies, and overall healthcare delivery. By moving beyond traditional methodologies and embracing innovative AI-driven solutions, the industry is set to redefine standards of care in a rapidly evolving medical landscape.

This comprehensive overview reaffirms the importance of adopting an integrated approach that not only recognizes the current industry capabilities but also anticipates future challenges and opportunities. The continued collaboration between technology innovators and healthcare providers will be critical in steering the oncology sector toward a new era of precision, efficiency, and patient-centric care.

Table of Contents

1. Preface

  • 1.1. Objectives of the Study
  • 1.2. Market Segmentation & Coverage
  • 1.3. Years Considered for the Study
  • 1.4. Currency & Pricing
  • 1.5. Language
  • 1.6. Stakeholders

2. Research Methodology

  • 2.1. Define: Research Objective
  • 2.2. Determine: Research Design
  • 2.3. Prepare: Research Instrument
  • 2.4. Collect: Data Source
  • 2.5. Analyze: Data Interpretation
  • 2.6. Formulate: Data Verification
  • 2.7. Publish: Research Report
  • 2.8. Repeat: Report Update

3. Executive Summary

4. Market Overview

5. Market Insights

  • 5.1. Market Dynamics
    • 5.1.1. Drivers
      • 5.1.1.1. Rising prevalence of cancer cases globally necessitates innovative AI solutions to enhance care
      • 5.1.1.2. Government initiatives and funding for AI research in healthcare drive innovation and adoption in oncology
    • 5.1.2. Restraints
      • 5.1.2.1. High costs associated with AI development and deployment along with interoperability issues
    • 5.1.3. Opportunities
      • 5.1.3.1. Significant partnerships between oncology care provider and AI technology providers
      • 5.1.3.2. Surge in telemedicine and remote monitoring bolsters AI-enabled remote oncology services and care
    • 5.1.4. Challenges
      • 5.1.4.1. Challenges in ensuring fairness and mitigating biases in AI algorithms to provide equitable oncology care
  • 5.2. Market Segmentation Analysis
    • 5.2.1. Product Type: Significant development of the software solutions for data management and targeted decision-making
    • 5.2.2. End-Use: Advancements in AI solutions to enhance production efficiencies and quality control measures for generic manufacturers
  • 5.3. Porter's Five Forces Analysis
    • 5.3.1. Threat of New Entrants
    • 5.3.2. Threat of Substitutes
    • 5.3.3. Bargaining Power of Customers
    • 5.3.4. Bargaining Power of Suppliers
    • 5.3.5. Industry Rivalry
  • 5.4. PESTLE Analysis
    • 5.4.1. Political
    • 5.4.2. Economic
    • 5.4.3. Social
    • 5.4.4. Technological
    • 5.4.5. Legal
    • 5.4.6. Environmental

6. Artificial Intelligence in Oncology Market, by Product Type

  • 6.1. Introduction
  • 6.2. Hardware
    • 6.2.1. Diagnostic Imaging Systems
    • 6.2.2. Robotic Surgical Systems
  • 6.3. Services
    • 6.3.1. Consulting Services
    • 6.3.2. Implementation Services
  • 6.4. Software Solutions
    • 6.4.1. Cloud-Based Solutions
    • 6.4.2. On-Premise Tools

7. Artificial Intelligence in Oncology Market, by Technology

  • 7.1. Introduction
  • 7.2. Computer Vision
    • 7.2.1. 3D Reconstruction
    • 7.2.2. Image Recognition
    • 7.2.3. Video Analysis
  • 7.3. Machine Learning
    • 7.3.1. Deep Learning
    • 7.3.2. Supervised Learning
    • 7.3.3. Unsupervised Learning
  • 7.4. Natural Language Processing
    • 7.4.1. Data Annotation
    • 7.4.2. Sentiment Analysis
    • 7.4.3. Text Mining
  • 7.5. Robotic Process Automation
    • 7.5.1. Automated Workflows
    • 7.5.2. Clinical Documentation
    • 7.5.3. Process Mapping

8. Artificial Intelligence in Oncology Market, by Cancer Type

  • 8.1. Introduction
  • 8.2. Breast Cancer
  • 8.3. Cervical Cancer
  • 8.4. Colorectal Cancer
  • 8.5. Esophageal Cancer
  • 8.6. Liver Cancer
  • 8.7. Lung Cancer
  • 8.8. Skin Cancer
  • 8.9. Stomach (Gastric) Cancer
  • 8.10. Thyroid Cancer

9. Artificial Intelligence in Oncology Market, by Application

  • 9.1. Introduction
  • 9.2. Diagnostics
    • 9.2.1. Imaging Analytics
    • 9.2.2. Molecular Diagnostics
    • 9.2.3. Pathology
    • 9.2.4. Screening
  • 9.3. Drug Discovery
    • 9.3.1. Clinical Trials Design
    • 9.3.2. Lead Discovery
    • 9.3.3. Target Identification
  • 9.4. Outcome Prediction
    • 9.4.1. Complication Prediction
    • 9.4.2. Response Prediction
    • 9.4.3. Survival Rate Visualization
  • 9.5. Personalized Medicine
    • 9.5.1. Biomarker Identification
    • 9.5.2. Genomic Data Analysis
    • 9.5.3. Therapeutic Optimization
  • 9.6. Treatment Planning
    • 9.6.1. Chemotherapy Planning
    • 9.6.2. Radiation Therapy Planning
    • 9.6.3. Surgical Planning

10. Artificial Intelligence in Oncology Market, by End-Use

  • 10.1. Introduction
  • 10.2. Diagnostic Laboratories
    • 10.2.1. Genomic Testing Facilities
    • 10.2.2. Pathology Labs
  • 10.3. Hospitals
    • 10.3.1. Private Hospitals
    • 10.3.2. Public Hospitals
  • 10.4. Pharmaceutical Companies
    • 10.4.1. Generic Manufacturers
    • 10.4.2. Innovator Companies
  • 10.5. Research Institutions
    • 10.5.1. Academic Institutions
    • 10.5.2. Biotech Firms

11. Americas Artificial Intelligence in Oncology Market

  • 11.1. Introduction
  • 11.2. Argentina
  • 11.3. Brazil
  • 11.4. Canada
  • 11.5. Mexico
  • 11.6. United States

12. Asia-Pacific Artificial Intelligence in Oncology Market

  • 12.1. Introduction
  • 12.2. Australia
  • 12.3. China
  • 12.4. India
  • 12.5. Indonesia
  • 12.6. Japan
  • 12.7. Malaysia
  • 12.8. Philippines
  • 12.9. Singapore
  • 12.10. South Korea
  • 12.11. Taiwan
  • 12.12. Thailand
  • 12.13. Vietnam

13. Europe, Middle East & Africa Artificial Intelligence in Oncology Market

  • 13.1. Introduction
  • 13.2. Denmark
  • 13.3. Egypt
  • 13.4. Finland
  • 13.5. France
  • 13.6. Germany
  • 13.7. Israel
  • 13.8. Italy
  • 13.9. Netherlands
  • 13.10. Nigeria
  • 13.11. Norway
  • 13.12. Poland
  • 13.13. Qatar
  • 13.14. Russia
  • 13.15. Saudi Arabia
  • 13.16. South Africa
  • 13.17. Spain
  • 13.18. Sweden
  • 13.19. Switzerland
  • 13.20. Turkey
  • 13.21. United Arab Emirates
  • 13.22. United Kingdom

14. Competitive Landscape

  • 14.1. Market Share Analysis, 2024
  • 14.2. FPNV Positioning Matrix, 2024
  • 14.3. Competitive Scenario Analysis
    • 14.3.1. Health Care Global Enterprises (HCG) collaborates with Accenture to revolutionize AI-driven cancer research and treatment
    • 14.3.2. Strategic partnership between BioAI and Arbele aims to revolutionize cancer treatment with AI-driven biomarker models
    • 14.3.3. Apollo's AI-powered Precision Oncology Centre in Bengaluru revolutionizes cancer diagnosis and care
  • 14.4. Strategy Analysis & Recommendation

Companies Mentioned

  • 1. Amazon Web Services, Inc.
  • 2. Arterys, Inc.
  • 3. Berg LLC
  • 4. Bristol-Myers Squibb Company
  • 5. Butterfly Network, Inc.
  • 6. F. Hoffmann-La Roche Ltd.
  • 7. Flatiron Health, Inc.
  • 8. Freenome Holdings, Inc.
  • 9. GE Healthcare
  • 10. Google LLC by Alphabet Inc.
  • 11. IBM Corporation
  • 12. Intel Corporation
  • 13. Koninklijke Philips N.V.
  • 14. Medial EarlySign Ltd.
  • 15. Microsoft Corporation
  • 16. Nvidia Corporation
  • 17. Oncora Medical, Inc.
  • 18. Paige.AI Inc.
  • 19. PathAI, Inc.
  • 20. Siemens Healthineers AG
  • 21. Tempus Labs, Inc.
  • 22. Ultromics Limited
  • 23. Viz.ai, Inc.
  • 24. Zebra Medical Vision Ltd.

LIST OF FIGURES

  • FIGURE 1. ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET MULTI-CURRENCY
  • FIGURE 2. ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET MULTI-LANGUAGE
  • FIGURE 3. ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET RESEARCH PROCESS
  • FIGURE 4. ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, 2024 VS 2030
  • FIGURE 5. GLOBAL ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, 2018-2030 (USD MILLION)
  • FIGURE 6. GLOBAL ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY REGION, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 7. GLOBAL ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 8. GLOBAL ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY PRODUCT TYPE, 2024 VS 2030 (%)
  • FIGURE 9. GLOBAL ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY PRODUCT TYPE, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 10. GLOBAL ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY TECHNOLOGY, 2024 VS 2030 (%)
  • FIGURE 11. GLOBAL ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY TECHNOLOGY, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 12. GLOBAL ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY CANCER TYPE, 2024 VS 2030 (%)
  • FIGURE 13. GLOBAL ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY CANCER TYPE, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 14. GLOBAL ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY APPLICATION, 2024 VS 2030 (%)
  • FIGURE 15. GLOBAL ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY APPLICATION, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 16. GLOBAL ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY END-USE, 2024 VS 2030 (%)
  • FIGURE 17. GLOBAL ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY END-USE, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 18. AMERICAS ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY COUNTRY, 2024 VS 2030 (%)
  • FIGURE 19. AMERICAS ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 20. UNITED STATES ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY STATE, 2024 VS 2030 (%)
  • FIGURE 21. UNITED STATES ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY STATE, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 22. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY COUNTRY, 2024 VS 2030 (%)
  • FIGURE 23. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 24. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY COUNTRY, 2024 VS 2030 (%)
  • FIGURE 25. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 26. ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SHARE, BY KEY PLAYER, 2024
  • FIGURE 27. ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET, FPNV POSITIONING MATRIX, 2024

LIST OF TABLES

  • TABLE 1. ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SEGMENTATION & COVERAGE
  • TABLE 2. UNITED STATES DOLLAR EXCHANGE RATE, 2018-2024
  • TABLE 3. GLOBAL ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, 2018-2030 (USD MILLION)
  • TABLE 4. GLOBAL ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 5. GLOBAL ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
  • TABLE 6. ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET DYNAMICS
  • TABLE 7. GLOBAL ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY PRODUCT TYPE, 2018-2030 (USD MILLION)
  • TABLE 8. GLOBAL ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY HARDWARE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 9. GLOBAL ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY DIAGNOSTIC IMAGING SYSTEMS, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 10. GLOBAL ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY ROBOTIC SURGICAL SYSTEMS, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 11. GLOBAL ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
  • TABLE 12. GLOBAL ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY SERVICES, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 13. GLOBAL ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY CONSULTING SERVICES, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 14. GLOBAL ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY IMPLEMENTATION SERVICES, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 15. GLOBAL ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 16. GLOBAL ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY SOFTWARE SOLUTIONS, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 17. GLOBAL ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY CLOUD-BASED SOLUTIONS, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 18. GLOBAL ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY ON-PREMISE TOOLS, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 19. GLOBAL ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY SOFTWARE SOLUTIONS, 2018-2030 (USD MILLION)
  • TABLE 20. GLOBAL ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 21. GLOBAL ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY COMPUTER VISION, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 22. GLOBAL ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY 3D RECONSTRUCTION, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 23. GLOBAL ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY IMAGE RECOGNITION, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 24. GLOBAL ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY VIDEO ANALYSIS, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 25. GLOBAL ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY COMPUTER VISION, 2018-2030 (USD MILLION)
  • TABLE 26. GLOBAL ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY MACHINE LEARNING, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 27. GLOBAL ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY DEEP LEARNING, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 28. GLOBAL ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY SUPERVISED LEARNING, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 29. GLOBAL ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY UNSUPERVISED LEARNING, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 30. GLOBAL ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY MACHINE LEARNING, 2018-2030 (USD MILLION)
  • TABLE 31. GLOBAL ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY NATURAL LANGUAGE PROCESSING, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 32. GLOBAL ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY DATA ANNOTATION, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 33. GLOBAL ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY SENTIMENT ANALYSIS, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 34. GLOBAL ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY TEXT MINING, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 35. GLOBAL ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY NATURAL LANGUAGE PROCESSING, 2018-2030 (USD MILLION)
  • TABLE 36. GLOBAL ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY ROBOTIC PROCESS AUTOMATION, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 37. GLOBAL ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY AUTOMATED WORKFLOWS, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 38. GLOBAL ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY CLINICAL DOCUMENTATION, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 39. GLOBAL ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY PROCESS MAPPING, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 40. GLOBAL ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY ROBOTIC PROCESS AUTOMATION, 2018-2030 (USD MILLION)
  • TABLE 41. GLOBAL ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY CANCER TYPE, 2018-2030 (USD MILLION)
  • TABLE 42. GLOBAL ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY BREAST CANCER, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 43. GLOBAL ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY CERVICAL CANCER, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 44. GLOBAL ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY COLORECTAL CANCER, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 45. GLOBAL ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY ESOPHAGEAL CANCER, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 46. GLOBAL ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY LIVER CANCER, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 47. GLOBAL ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY LUNG CANCER, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 48. GLOBAL ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY SKIN CANCER, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 49. GLOBAL ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY STOMACH (GASTRIC) CANCER, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 50. GLOBAL ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY THYROID CANCER, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 51. GLOBAL ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 52. GLOBAL ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY DIAGNOSTICS, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 53. GLOBAL ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY IMAGING ANALYTICS, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 54. GLOBAL ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY MOLECULAR DIAGNOSTICS, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 55. GLOBAL ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY PATHOLOGY, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 56. GLOBAL ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY SCREENING, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 57. GLOBAL ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY DIAGNOSTICS, 2018-2030 (USD MILLION)
  • TABLE 58. GLOBAL ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY DRUG DISCOVERY, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 59. GLOBAL ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY CLINICAL TRIALS DESIGN, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 60. GLOBAL ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY LEAD DISCOVERY, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 61. GLOBAL ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY TARGET IDENTIFICATION, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 62. GLOBAL ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY DRUG DISCOVERY, 2018-2030 (USD MILLION)
  • TABLE 63. GLOBAL ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY OUTCOME PREDICTION, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 64. GLOBAL ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY COMPLICATION PREDICTION, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 65. GLOBAL ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY RESPONSE PREDICTION, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 66. GLOBAL ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY SURVIVAL RATE VISUALIZATION, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 67. GLOBAL ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY OUTCOME PREDICTION, 2018-2030 (USD MILLION)
  • TABLE 68. GLOBAL ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY PERSONALIZED MEDICINE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 69. GLOBAL ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY BIOMARKER IDENTIFICATION, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 70. GLOBAL ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY GENOMIC DATA ANALYSIS, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 71. GLOBAL ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY THERAPEUTIC OPTIMIZATION, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 72. GLOBAL ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY PERSONALIZED MEDICINE, 2018-2030 (USD MILLION)
  • TABLE 73. GLOBAL ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY TREATMENT PLANNING, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 74. GLOBAL ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY CHEMOTHERAPY PLANNING, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 75. GLOBAL ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY RADIATION THERAPY PLANNING, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 76. GLOBAL ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY SURGICAL PLANNING, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 77. GLOBAL ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY TREATMENT PLANNING, 2018-2030 (USD MILLION)
  • TABLE 78. GLOBAL ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
  • TABLE 79. GLOBAL ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY DIAGNOSTIC LABORATORIES, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 80. GLOBAL ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY GENOMIC TESTING FACILITIES, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 81. GLOBAL ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY PATHOLOGY LABS, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 82. GLOBAL ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY DIAGNOSTIC LABORATORIES, 2018-2030 (USD MILLION)
  • TABLE 83. GLOBAL ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY HOSPITALS, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 84. GLOBAL ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY PRIVATE HOSPITALS, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 85. GLOBAL ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY PUBLIC HOSPITALS, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 86. GLOBAL ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY HOSPITALS, 2018-2030 (USD MILLION)
  • TABLE 87. GLOBAL ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY PHARMACEUTICAL COMPANIES, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 88. GLOBAL ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY GENERIC MANUFACTURERS, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 89. GLOBAL ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY INNOVATOR COMPANIES, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 90. GLOBAL ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY PHARMACEUTICAL COMPANIES, 2018-2030 (USD MILLION)
  • TABLE 91. GLOBAL ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY RESEARCH INSTITUTIONS, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 92. GLOBAL ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY ACADEMIC INSTITUTIONS, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 93. GLOBAL ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY BIOTECH FIRMS, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 94. GLOBAL ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY RESEARCH INSTITUTIONS, 2018-2030 (USD MILLION)
  • TABLE 95. AMERICAS ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY PRODUCT TYPE, 2018-2030 (USD MILLION)
  • TABLE 96. AMERICAS ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
  • TABLE 97. AMERICAS ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 98. AMERICAS ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY SOFTWARE SOLUTIONS, 2018-2030 (USD MILLION)
  • TABLE 99. AMERICAS ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 100. AMERICAS ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY COMPUTER VISION, 2018-2030 (USD MILLION)
  • TABLE 101. AMERICAS ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY MACHINE LEARNING, 2018-2030 (USD MILLION)
  • TABLE 102. AMERICAS ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY NATURAL LANGUAGE PROCESSING, 2018-2030 (USD MILLION)
  • TABLE 103. AMERICAS ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY ROBOTIC PROCESS AUTOMATION, 2018-2030 (USD MILLION)
  • TABLE 104. AMERICAS ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY CANCER TYPE, 2018-2030 (USD MILLION)
  • TABLE 105. AMERICAS ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 106. AMERICAS ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY DIAGNOSTICS, 2018-2030 (USD MILLION)
  • TABLE 107. AMERICAS ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY DRUG DISCOVERY, 2018-2030 (USD MILLION)
  • TABLE 108. AMERICAS ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY OUTCOME PREDICTION, 2018-2030 (USD MILLION)
  • TABLE 109. AMERICAS ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY PERSONALIZED MEDICINE, 2018-2030 (USD MILLION)
  • TABLE 110. AMERICAS ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY TREATMENT PLANNING, 2018-2030 (USD MILLION)
  • TABLE 111. AMERICAS ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
  • TABLE 112. AMERICAS ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY DIAGNOSTIC LABORATORIES, 2018-2030 (USD MILLION)
  • TABLE 113. AMERICAS ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY HOSPITALS, 2018-2030 (USD MILLION)
  • TABLE 114. AMERICAS ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY PHARMACEUTICAL COMPANIES, 2018-2030 (USD MILLION)
  • TABLE 115. AMERICAS ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY RESEARCH INSTITUTIONS, 2018-2030 (USD MILLION)
  • TABLE 116. AMERICAS ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
  • TABLE 117. ARGENTINA ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY PRODUCT TYPE, 2018-2030 (USD MILLION)
  • TABLE 118. ARGENTINA ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
  • TABLE 119. ARGENTINA ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 120. ARGENTINA ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY SOFTWARE SOLUTIONS, 2018-2030 (USD MILLION)
  • TABLE 121. ARGENTINA ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 122. ARGENTINA ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY COMPUTER VISION, 2018-2030 (USD MILLION)
  • TABLE 123. ARGENTINA ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY MACHINE LEARNING, 2018-2030 (USD MILLION)
  • TABLE 124. ARGENTINA ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY NATURAL LANGUAGE PROCESSING, 2018-2030 (USD MILLION)
  • TABLE 125. ARGENTINA ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY ROBOTIC PROCESS AUTOMATION, 2018-2030 (USD MILLION)
  • TABLE 126. ARGENTINA ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY CANCER TYPE, 2018-2030 (USD MILLION)
  • TABLE 127. ARGENTINA ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 128. ARGENTINA ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY DIAGNOSTICS, 2018-2030 (USD MILLION)
  • TABLE 129. ARGENTINA ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY DRUG DISCOVERY, 2018-2030 (USD MILLION)
  • TABLE 130. ARGENTINA ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY OUTCOME PREDICTION, 2018-2030 (USD MILLION)
  • TABLE 131. ARGENTINA ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY PERSONALIZED MEDICINE, 2018-2030 (USD MILLION)
  • TABLE 132. ARGENTINA ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY TREATMENT PLANNING, 2018-2030 (USD MILLION)
  • TABLE 133. ARGENTINA ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
  • TABLE 134. ARGENTINA ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY DIAGNOSTIC LABORATORIES, 2018-2030 (USD MILLION)
  • TABLE 135. ARGENTINA ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY HOSPITALS, 2018-2030 (USD MILLION)
  • TABLE 136. ARGENTINA ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY PHARMACEUTICAL COMPANIES, 2018-2030 (USD MILLION)
  • TABLE 137. ARGENTINA ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY RESEARCH INSTITUTIONS, 2018-2030 (USD MILLION)
  • TABLE 138. BRAZIL ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY PRODUCT TYPE, 2018-2030 (USD MILLION)
  • TABLE 139. BRAZIL ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
  • TABLE 140. BRAZIL ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 141. BRAZIL ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY SOFTWARE SOLUTIONS, 2018-2030 (USD MILLION)
  • TABLE 142. BRAZIL ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 143. BRAZIL ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY COMPUTER VISION, 2018-2030 (USD MILLION)
  • TABLE 144. BRAZIL ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY MACHINE LEARNING, 2018-2030 (USD MILLION)
  • TABLE 145. BRAZIL ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY NATURAL LANGUAGE PROCESSING, 2018-2030 (USD MILLION)
  • TABLE 146. BRAZIL ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY ROBOTIC PROCESS AUTOMATION, 2018-2030 (USD MILLION)
  • TABLE 147. BRAZIL ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY CANCER TYPE, 2018-2030 (USD MILLION)
  • TABLE 148. BRAZIL ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 149. BRAZIL ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY DIAGNOSTICS, 2018-2030 (USD MILLION)
  • TABLE 150. BRAZIL ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY DRUG DISCOVERY, 2018-2030 (USD MILLION)
  • TABLE 151. BRAZIL ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY OUTCOME PREDICTION, 2018-2030 (USD MILLION)
  • TABLE 152. BRAZIL ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY PERSONALIZED MEDICINE, 2018-2030 (USD MILLION)
  • TABLE 153. BRAZIL ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY TREATMENT PLANNING, 2018-2030 (USD MILLION)
  • TABLE 154. BRAZIL ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
  • TABLE 155. BRAZIL ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY DIAGNOSTIC LABORATORIES, 2018-2030 (USD MILLION)
  • TABLE 156. BRAZIL ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY HOSPITALS, 2018-2030 (USD MILLION)
  • TABLE 157. BRAZIL ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY PHARMACEUTICAL COMPANIES, 2018-2030 (USD MILLION)
  • TABLE 158. BRAZIL ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY RESEARCH INSTITUTIONS, 2018-2030 (USD MILLION)
  • TABLE 159. CANADA ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY PRODUCT TYPE, 2018-2030 (USD MILLION)
  • TABLE 160. CANADA ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
  • TABLE 161. CANADA ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 162. CANADA ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY SOFTWARE SOLUTIONS, 2018-2030 (USD MILLION)
  • TABLE 163. CANADA ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 164. CANADA ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY COMPUTER VISION, 2018-2030 (USD MILLION)
  • TABLE 165. CANADA ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY MACHINE LEARNING, 2018-2030 (USD MILLION)
  • TABLE 166. CANADA ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY NATURAL LANGUAGE PROCESSING, 2018-2030 (USD MILLION)
  • TABLE 167. CANADA ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY ROBOTIC PROCESS AUTOMATION, 2018-2030 (USD MILLION)
  • TABLE 168. CANADA ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY CANCER TYPE, 2018-2030 (USD MILLION)
  • TABLE 169. CANADA ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 170. CANADA ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY DIAGNOSTICS, 2018-2030 (USD MILLION)
  • TABLE 171. CANADA ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY DRUG DISCOVERY, 2018-2030 (USD MILLION)
  • TABLE 172. CANADA ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY OUTCOME PREDICTION, 2018-2030 (USD MILLION)
  • TABLE 173. CANADA ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY PERSONALIZED MEDICINE, 2018-2030 (USD MILLION)
  • TABLE 174. CANADA ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY TREATMENT PLANNING, 2018-2030 (USD MILLION)
  • TABLE 175. CANADA ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
  • TABLE 176. CANADA ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY DIAGNOSTIC LABORATORIES, 2018-2030 (USD MILLION)
  • TABLE 177. CANADA ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY HOSPITALS, 2018-2030 (USD MILLION)
  • TABLE 178. CANADA ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY PHARMACEUTICAL COMPANIES, 2018-2030 (USD MILLION)
  • TABLE 179. CANADA ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY RESEARCH INSTITUTIONS, 2018-2030 (USD MILLION)
  • TABLE 180. MEXICO ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY PRODUCT TYPE, 2018-2030 (USD MILLION)
  • TABLE 181. MEXICO ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
  • TABLE 182. MEXICO ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 183. MEXICO ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY SOFTWARE SOLUTIONS, 2018-2030 (USD MILLION)
  • TABLE 184. MEXICO ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 185. MEXICO ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY COMPUTER VISION, 2018-2030 (USD MILLION)
  • TABLE 186. MEXICO ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY MACHINE LEARNING, 2018-2030 (USD MILLION)
  • TABLE 187. MEXICO ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY NATURAL LANGUAGE PROCESSING, 2018-2030 (USD MILLION)
  • TABLE 188. MEXICO ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY ROBOTIC PROCESS AUTOMATION, 2018-2030 (USD MILLION)
  • TABLE 189. MEXICO ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY CANCER TYPE, 2018-2030 (USD MILLION)
  • TABLE 190. MEXICO ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 191. MEXICO ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY DIAGNOSTICS, 2018-2030 (USD MILLION)
  • TABLE 192. MEXICO ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY DRUG DISCOVERY, 2018-2030 (USD MILLION)
  • TABLE 193. MEXICO ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY OUTCOME PREDICTION, 2018-2030 (USD MILLION)
  • TABLE 194. MEXICO ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY PERSONALIZED MEDICINE, 2018-2030 (USD MILLION)
  • TABLE 195. MEXICO ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY TREATMENT PLANNING, 2018-2030 (USD MILLION)
  • TABLE 196. MEXICO ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
  • TABLE 197. MEXICO ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY DIAGNOSTIC LABORATORIES, 2018-2030 (USD MILLION)
  • TABLE 198. MEXICO ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY HOSPITALS, 2018-2030 (USD MILLION)
  • TABLE 199. MEXICO ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY PHARMACEUTICAL COMPANIES, 2018-2030 (USD MILLION)
  • TABLE 200. MEXICO ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY RESEARCH INSTITUTIONS, 2018-2030 (USD MILLION)
  • TABLE 201. UNITED STATES ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY PRODUCT TYPE, 2018-2030 (USD MILLION)
  • TABLE 202. UNITED STATES ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
  • TABLE 203. UNITED STATES ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 204. UNITED STATES ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY SOFTWARE SOLUTIONS, 2018-2030 (USD MILLION)
  • TABLE 205. UNITED STATES ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 206. UNITED STATES ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY COMPUTER VISION, 2018-2030 (USD MILLION)
  • TABLE 207. UNITED STATES ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY MACHINE LEARNING, 2018-2030 (USD MILLION)
  • TABLE 208. UNITED STATES ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY NATURAL LANGUAGE PROCESSING, 2018-2030 (USD MILLION)
  • TABLE 209. UNITED STATES ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY ROBOTIC PROCESS AUTOMATION, 2018-2030 (USD MILLION)
  • TABLE 210. UNITED STATES ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY CANCER TYPE, 2018-2030 (USD MILLION)
  • TABLE 211. UNITED STATES ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 212. UNITED STATES ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY DIAGNOSTICS, 2018-2030 (USD MILLION)
  • TABLE 213. UNITED STATES ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY DRUG DISCOVERY, 2018-2030 (USD MILLION)
  • TABLE 214. UNITED STATES ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY OUTCOME PREDICTION, 2018-2030 (USD MILLION)
  • TABLE 215. UNITED STATES ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY PERSONALIZED MEDICINE, 2018-2030 (USD MILLION)
  • TABLE 216. UNITED STATES ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY TREATMENT PLANNING, 2018-2030 (USD MILLION)
  • TABLE 217. UNITED STATES ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
  • TABLE 218. UNITED STATES ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY DIAGNOSTIC LABORATORIES, 2018-2030 (USD MILLION)
  • TABLE 219. UNITED STATES ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY HOSPITALS, 2018-2030 (USD MILLION)
  • TABLE 220. UNITED STATES ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY PHARMACEUTICAL COMPANIES, 2018-2030 (USD MILLION)
  • TABLE 221. UNITED STATES ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY RESEARCH INSTITUTIONS, 2018-2030 (USD MILLION)
  • TABLE 222. UNITED STATES ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY STATE, 2018-2030 (USD MILLION)
  • TABLE 223. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY PRODUCT TYPE, 2018-2030 (USD MILLION)
  • TABLE 224. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
  • TABLE 225. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 226. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY SOFTWARE SOLUTIONS, 2018-2030 (USD MILLION)
  • TABLE 227. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 228. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY COMPUTER VISION, 2018-2030 (USD MILLION)
  • TABLE 229. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY MACHINE LEARNING, 2018-2030 (USD MILLION)
  • TABLE 230. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY NATURAL LANGUAGE PROCESSING, 2018-2030 (USD MILLION)
  • TABLE 231. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY ROBOTIC PROCESS AUTOMATION, 2018-2030 (USD MILLION)
  • TABLE 232. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY CANCER TYPE, 2018-2030 (USD MILLION)
  • TABLE 233. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 234. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY DIAGNOSTICS, 2018-2030 (USD MILLION)
  • TABLE 235. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY DRUG DISCOVERY, 2018-2030 (USD MILLION)
  • TABLE 236. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY OUTCOME PREDICTION, 2018-2030 (USD MILLION)
  • TABLE 237. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY PERSONALIZED MEDICINE, 2018-2030 (USD MILLION)
  • TABLE 238. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY TREATMENT PLANNING, 2018-2030 (USD MILLION)
  • TABLE 239. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
  • TABLE 240. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY DIAGNOSTIC LABORATORIES, 2018-2030 (USD MILLION)
  • TABLE 241. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY HOSPITALS, 2018-2030 (USD MILLION)
  • TABLE 242. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY PHARMACEUTICAL COMPANIES, 2018-2030 (USD MILLION)
  • TABLE 243. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY RESEARCH INSTITUTIONS, 2018-2030 (USD MILLION)
  • TABLE 244. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
  • TABLE 245. AUSTRALIA ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY PRODUCT TYPE, 2018-2030 (USD MILLION)
  • TABLE 246. AUSTRALIA ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
  • TABLE 247. AUSTRALIA ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 248. AUSTRALIA ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY SOFTWARE SOLUTIONS, 2018-2030 (USD MILLION)
  • TABLE 249. AUSTRALIA ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 250. AUSTRALIA ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY COMPUTER VISION, 2018-2030 (USD MILLION)
  • TABLE 251. AUSTRALIA ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY MACHINE LEARNING, 2018-2030 (USD MILLION)
  • TABLE 252. AUSTRALIA ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY NATURAL LANGUAGE PROCESSING, 2018-2030 (USD MILLION)
  • TABLE 253. AUSTRALIA ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY ROBOTIC PROCESS AUTOMATION, 2018-2030 (USD MILLION)
  • TABLE 254. AUSTRALIA ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY CANCER TYPE, 2018-2030 (USD MILLION)
  • TABLE 255. AUSTRALIA ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 256. AUSTRALIA ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY DIAGNOSTICS, 2018-2030 (USD MILLION)
  • TABLE 257. AUSTRALIA ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY DRUG DISCOVERY, 2018-2030 (USD MILLION)
  • TABLE 258. AUSTRALIA ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY OUTCOME PREDICTION, 2018-2030 (USD MILLION)
  • TABLE 259. AUSTRALIA ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY PERSONALIZED MEDICINE, 2018-2030 (USD MILLION)
  • TABLE 260. AUSTRALIA ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY TREATMENT PLANNING, 2018-2030 (USD MILLION)
  • TABLE 261. AUSTRALIA ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
  • TABLE 262. AUSTRALIA ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY DIAGNOSTIC LABORATORIES, 2018-2030 (USD MILLION)
  • TABLE 263. AUSTRALIA ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY HOSPITALS, 2018-2030 (USD MILLION)
  • TABLE 264. AUSTRALIA ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY PHARMACEUTICAL COMPANIES, 2018-2030 (USD MILLION)
  • TABLE 265. AUSTRALIA ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY RESEARCH INSTITUTIONS, 2018-2030 (USD MILLION)
  • TABLE 266. CHINA ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY PRODUCT TYPE, 2018-2030 (USD MILLION)
  • TABLE 267. CHINA ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
  • TABLE 268. CHINA ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 269. CHINA ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY SOFTWARE SOLUTIONS, 2018-2030 (USD MILLION)
  • TABLE 270. CHINA ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 271. CHINA ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY COMPUTER VISION, 2018-2030 (USD MILLION)
  • TABLE 272. CHINA ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY MACHINE LEARNING, 2018-2030 (USD MILLION)
  • TABLE 273. CHINA ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY NATURAL LANGUAGE PROCESSING, 2018-2030 (USD MILLION)
  • TABLE 274. CHINA ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY ROBOTIC PROCESS AUTOMATION, 2018-2030 (USD MILLION)
  • TABLE 275. CHINA ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY CANCER TYPE, 2018-2030 (USD MILLION)
  • TABLE 276. CHINA ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 277. CHINA ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY DIAGNOSTICS, 2018-2030 (USD MILLION)
  • TABLE 278. CHINA ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY DRUG DISCOVERY, 2018-2030 (USD MILLION)
  • TABLE 279. CHINA ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY OUTCOME PREDICTION, 2018-2030 (USD MILLION)
  • TABLE 280. CHINA ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY PERSONALIZED MEDICINE, 2018-2030 (USD MILLION)
  • TABLE 281. CHINA ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY TREATMENT PLANNING, 2018-2030 (USD MILLION)
  • TABLE 282. CHINA ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
  • TABLE 283. CHINA ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY DIAGNOSTIC LABORATORIES, 2018-2030 (USD MILLION)
  • TABLE 284. CHINA ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET SIZE, BY HOSPITALS, 2018-2030 (USD MILLION)
  • TABLE 285. CHINA ARTIFICIAL INTELLIGENCE IN ONCOLOGY MARKET