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腫瘤學人工智慧市場按產品類型、技術、癌症類型、應用和最終用途分類 - 2025-2030 年全球預測

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個工作天內

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腫瘤學人工智慧市場預計將從 2024 年的 232.5 億美元成長到 2025 年的 276.7 億美元，複合年成長率為 20.23%，到 2030 年將達到 702.6 億美元。

主要市場統計數據
基準年 2024 年 232.5億美元
預計 2025 年 276.7億美元
預測年份 2030 702.6億美元
複合年成長率（%） 20.23%

人工智慧已成為重塑腫瘤學領域的關鍵力量，推動了重新定義臨床工作流程和患者照護的突破。在科技與醫療保健交叉的時代，先進的演算法和資料分析的整合為更準確的診斷、個人化的治療計劃以及提高醫療保健環境中的業務效率鋪平了道路。本報告檢驗了先進的人工智慧解決方案如何不僅提高診斷準確性，而且在加速藥物發現和最佳化治療計劃方面發揮關鍵作用。

人工智慧在腫瘤學領域的發展以重要的技術進步為特點，增強了決策和預測患者結果的可能性。從影像分析到預測模型，這些發展凸顯了更具活力、反應更快的癌症治療趨勢。此外，隨著多學科團隊結合臨床醫生和技術人員的能力，利用人工智慧來解釋複雜的資料模式並提供可行的見解，醫療保健領域正在經歷模式轉移。醫療專業知識與最尖端科技的結合為應對該領域的新挑戰和釋放新機會奠定了堅實的基礎。

人工智慧推動腫瘤學的變革

人工智慧不僅僅是一種漸進式創新，它代表了腫瘤學領域的根本性轉變。一系列突破性的轉變正在重新定義醫療保健提供者處理癌症診斷、治療計劃和患者管理的方式。機器學習、進階影像處理和預測分析的整合正在開啟一個新時代，傳統方法將被重新設計，以實現更高的準確性和效率。

自動成像和即時手術輔助等創新應用正在將理論可能性轉化為常規臨床現實。這次轉型之旅的基礎是演算法、資料管理技術和感測器系統的不斷改進，這些改進使得人工智慧驅動的應用程式更加可靠和擴充性。此外，雲端基礎和本地解決方案的趨勢為醫療保健提供者提供了靈活性，使他們能夠無縫適應不斷變化的監管要求和患者期望。

這種轉變的影響顯而易見，包括診斷錯誤減少、決策流程加快以及整體患者體驗明顯改善。透過將人工智慧與現有的醫療保健基礎設施無縫整合，行業相關人員正在設定新的基準，有望徹底改變患者照護並重新定義整個腫瘤學領域的業務標準。

洞察關鍵細分市場 詳細研究市場動態

對市場的詳細分析表明，複雜而分層的細分結構正在推動創新並刺激腫瘤學領域的成長。第一層細分是基於產品類型，市場分為硬體、服務和軟體解決方案。在硬體方面，重點是診斷影像和機器人手術系統；而在服務方面，重點是諮詢和實施服務。軟體解決方案部分進一步細分為雲端基礎的解決方案和內部部署工具，每個解決方案都為醫療保健提供者提供了獨特的優勢。

基於技術的細分透過分析電腦視覺、機器學習、自然語言處理和機器人流程自動化等領域進一步豐富了這一觀點。電腦視覺是一個複雜的領域，涉及 3D 重建、影像識別和視訊分析，所有這些對於準確的診斷成像都至關重要。機器學習是透過深度學習、監督學習和無監督學習的子集進行探索的，而自然語言處理涵蓋資料註釋、情緒分析和文字探勘，以促進更細緻入微的洞察。機器人流程自動化的進步支持自動化工作流程、臨床文件和流程映射的創新。

此外，市場細分也延伸到以癌症類型細分，全面涵蓋乳癌、子宮頸癌、大腸癌、食道癌、肝癌、肺癌、皮膚癌、胃癌、甲狀腺癌等，可以詳細了解按疾病分類的趨勢。市場區隔進一步將市場分為診斷、藥物發現、結果預測、個人化醫療和治療計劃。每個應用類別中都有子領域，例如影像分析、分子診斷、診斷病理學、臨床試驗設計、先導化合物發現、藥物發現中的標靶識別，以及結果預測、個人化醫療和治療計劃。最後，最終用途細分將市場分為診斷實驗室、醫院、製藥公司和研究機構等應用，並進一步細分為基因組檢測實驗室、病理實驗室、各種醫院類型、製造商分類以及包括學術機構和生物技術公司在內的研究機構。

這種分層細分不僅說明了市場動態的多樣性，也說明了客製化人工智慧應用程式滿足整個腫瘤學領域特定需求的潛力。利用這些細分的見解，相關人員可以發現推動創新和業務效率並加強患者照護的市場和機會。

目錄

第 1 章 簡介

第2章調查方法

第3章執行摘要

第4章 市場概況

第5章 市場洞察

  • 市場動態
    • 驅動程式
      • 全球癌症患者數量不斷增加，需要創新的人工智慧解決方案來加強護理。
      • 政府對醫療保健領域人工智慧研究的舉措和資助推動了腫瘤學領域的創新和應用
    • 限制因素
      • 開發和部署人工智慧的高成本和互通性問題
    • 機會
      • 腫瘤治療提供者與 AI 技術提供者之間的重要夥伴關係
      • 遠端醫療和遠端監控的普及將帶來人工智慧增強的遠距腫瘤服務和護理
    • 任務
      • 確保公平性和減輕人工智慧演算法中的偏見以提供公平的腫瘤治療的挑戰
  • 市場區隔分析
    • 產品類型：資料管理和針對性決策的軟體解決方案的重大開發
    • 最終用途：人工智慧解決方案的進步將提高學名藥製造商的生產效率和品管措施
  • 波特五力分析
  • PESTEL 分析
    • 政治的
    • 經濟
    • 社會的
    • 技術的
    • 合法的
    • 環境

第6章 腫瘤學人工智慧市場（依產品類型）

  • 硬體
    • 診斷影像系統
    • 機器人手術系統
  • 服務
    • 諮詢服務
    • 實施服務
  • 軟體解決方案
    • 雲端基礎的解決方案
    • 本地工具

7. 腫瘤學人工智慧市場（依技術分類）

  • 電腦視覺
    • 3D 重建
    • 影像識別
    • 影片分析
  • 機器學習
    • 深度學習
    • 監督學習
    • 無監督學習
  • 自然語言處理
    • 資料註釋
    • 情緒分析
    • 文字探勘
  • 機器人流程自動化
    • 自動化工作流程
    • 臨床文獻
    • 流程圖

8. 腫瘤學人工智慧市場（以癌症類型分類）

  • 乳癌
  • 子宮頸癌
  • 大腸直腸癌
  • 食道癌
  • 肝癌
  • 肺癌
  • 皮膚癌
  • 胃癌
  • 甲狀腺癌

第9章 腫瘤學人工智慧市場的應用

  • 診斷
    • 影像分析
    • 分子診斷
    • 病理
    • 篩檢
  • 藥物研發
    • 臨床試驗設計
    • 先導發現
    • 目標識別
  • 結果預測
    • 併發症預測
    • 回應預測
    • 能源可視化
  • 個人化醫療
    • 生物標記識別
    • 基因資料數據分析
    • 最佳化治療
  • 治療計劃
    • 化療方案
    • 放射治療計劃
    • 手術計劃

第 10 章 腫瘤學人工智慧市場（依最終用途分類）

  • 診斷實驗室
    • 基因組檢測設施
    • 病理實驗室
  • 醫院
    • 私立醫院
    • 公立醫院
  • 製藥公司
    • 非專利藥製造商
    • 創新公司
  • 研究組織
    • 學術機構
    • 生技公司

11. 美國腫瘤學人工智慧市場

  • 阿根廷
  • 巴西
  • 加拿大
  • 墨西哥
  • 美國

12. 亞太地區腫瘤學人工智慧市場

  • 澳洲
  • 中國
  • 印度
  • 印尼
  • 日本
  • 馬來西亞
  • 菲律賓
  • 新加坡
  • 韓國
  • 台灣
  • 泰國
  • 越南

13. 歐洲、中東和非洲地區腫瘤學人工智慧市場

  • 丹麥
  • 埃及
  • 芬蘭
  • 法國
  • 德國
  • 以色列
  • 義大利
  • 荷蘭
  • 奈及利亞
  • 挪威
  • 波蘭
  • 卡達
  • 俄羅斯
  • 沙烏地阿拉伯
  • 南非
  • 西班牙
  • 瑞典
  • 瑞士
  • 土耳其
  • 阿拉伯聯合大公國
  • 英國

第14章 競爭格局

  • 2024 年市場佔有率分析
  • FPNV 定位矩陣，2024 年
  • 競爭情境分析
  • 戰略分析與建議

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