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市场调查报告书
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1718036

病理学人工智慧市场：按组件、按技术类型、按病理类型、按疾病类型、按部署模型、按应用、按最终用户 - 2025-2030 年全球预测

Artificial Intelligence in Pathology Market by Component, Technology Type, Pathology Type, Disease Type, Deployment Model, Application, End User - 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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2024 年病理学人工智慧市场价值为 1.0158 亿美元，预计 2025 年将成长至 1.1652 亿美元，复合年增长率为 14.86%，预计到 2030 年将达到 2.3336 亿美元。

主要市场统计数据
基准年2024年 1.0158亿美元
预计2025年 1.1652亿美元
预测年份 2030 2.3336亿美元
复合年增长率（%） 14.86%

人工智慧正迅速从一个未来概念转变为病理学领域的变革力量。先进的演算法、大量数据集和强大的计算能力的结合正在重塑病理分析和诊断的方式，为实现显着的突破铺平道路。科技与医疗保健的融合不仅提高了疾病检测的准确性和速度，而且开闢了创新和研究的新途径。由于尖端解决方案可以提高工作流程效率、增强诊断准确性并简化不同临床环境中的数据集成，因此当前的情况充满机会。随着该行业加速迈向数位化未来，相关人员必须接受这些技术进步，这将继续推动患者照护和业务结果的改善。

近几十年来，科技不断颠覆病理学的传统方法。随着数位解决方案变得越来越复杂，人们越来越依赖数据主导的决策、增强成像和机器辅助诊断。这波转型浪潮明显证明人工智慧在重新定义业务标准方面发挥关键作用。从学术研究到大规模临床部署，人工智慧的影响体现在诊断过程的每一步，逐渐朝向更整合、直觉的系统发展，有望提供更好的临床结果和简化的工作流程。

改变病理学领域的人工智慧市场

病理诊断领域正在发生重大转变，这主要归功于人工智慧技术的融合。传统方法通常依赖手动分析，但正迅速被更具创新性的以数据为中心的方法所取代。这一演变的基础是机器学习、电脑视觉和深度神经网路的不断进步，这些进步正在迅速提高诊断程序的速度和可靠性。

这种技术转变超越了改进的影像分析和模式识别；它为彻底改革营运动态奠定了基础。标准病理学实践向数位化工作流程的演变为简化流程和优化资源分配提供了机会。决策正在从单纯的人类判断发展为人类专业知识与计算支持的共生。这种融合营造了一种提高诊断准确性、降低营运成本并重建整体患者照护连续性的环境。

此外，即时数据处理和整合正在进一步加速这一数位转型。医疗保健组织现在正在利用大量数据，这一趋势由云端技术和可扩展运算能力推动。这些因素共同开启了一个新时代，病理学不仅更加高效，而且在全球范围内更容易获得，为临床诊断和个人化医疗的进一步飞跃铺平了道路。

AI病理学市场的关键细分洞察

AI病理学市场的細項分析揭示了不同的维度，全面描绘了其成长轨迹和机会领域。基于组件的市场分析区分了服务端和软体端，在服务端进一步考虑咨询、安装与整合、支援与维护。从软体方面来看，分为临床试验/研究软体、资料管理软体、诊断软体、影像分析软体等类别。每个类别都提供了关于如何配置特定技术应用以支援病理实验室和研究组织不断变化的需求的细緻见解。

此外，从技术类型的角度来看市场，它会涉及巨量资料分析、电脑视觉、深度学习、机器学习和自然语言处理等领域。对技术的关注凸显了超越传统方法的创新广度，并透过整合先进的分析方法来推动进步。根据病理类型的分析进一步将市场细分为解剖病理学、临床病理学和分子病理学，从而涵盖当今临床实践中使用的广泛的诊断技术和技术。

它还根据疾病类型对市场进行细分，重点关注癌症、心血管疾病和神经退化性疾病等领域。这种细分不仅突显了临床需求最大的领域，也反映了人工智慧应用在识别和诊断复杂病理方面的特殊性。作为疾病类型细分的补充，部署模型提供了云端基础和内部解决方案之间的明显区分，每个解决方案都根据所涉及的病理单元的规模和安全要求呈现出各自的优势和局限性。

此外，基于应用的细分涵盖了从临床试验和研究到数位病理学和影像分析、疾病诊断和检测、药物发现和开发、预后和风险评估等领域。这种对应用的全面理解突显了人工智慧在阅读、解释和传达关键临床数据方面的作用。最后，当按最终用户检查市场时，我们发现客户群多种多样，包括生物技术公司、委外研发机构、医院和诊所、製药公司和研究机构。这种多样化的细分反映了病理学技术创新日益相互关联的性质，以及为医疗保健领域的不同客户提供服务的潜力。

目录

第一章 引言

第二章调查方法

第三章执行摘要

第四章 市场概述

第五章 市场洞察

  • 市场动态
    • 驱动程式
      • 医疗保健提供者越来越多地采用人工智慧诊断工具
      • 人们对人工智慧驱动的肿瘤分析用于个人化癌症治疗的兴趣日益浓厚
      • 人工智慧在实验室常规流程自动化方面的需求日益增长
    • 限制因素
      • 初始投资成本高且互通性问题
    • 机会
      • 伙伴关係关係，推动病理实验室的人工智慧整合
      • 投资和资金用于加强利用人工智慧的精准医疗
    • 任务
      • 病理学领域人工智慧应用的监管及合规问题
  • 市场区隔分析
    • 组件：增加资料管理软体的使用，为病理学中的人工智慧应用提供支援
    • 最终用户：病理学中人工智慧的应用将改变医院和诊所的患者照护
  • 波特五力分析
  • PESTEL分析
    • 政治的
    • 经济
    • 社会
    • 技术的
    • 合法的
    • 环境

6. 病理学人工智慧市场（按组成部分）

  • 服务
    • 咨询
    • 安装和集成
    • 支援和维护
  • 软体
    • 临床试验和研究软体
    • 资料管理软体
    • 诊断软体
    • 影像分析软体

7. 病理学人工智慧市场（依技术类型）

  • 巨量资料分析
  • 电脑视觉
  • 深度学习
  • 机器学习
  • 自然语言处理

8. 病理学人工智慧市场（依病理型态）

  • 解剖病理学
  • 临床病理学
  • 分子病理学

第九章 病理学人工智慧市场（按疾病类型）

  • 癌症
  • 心血管疾病
  • 神经退化性疾病

第 10 章病理学人工智慧市场（按部署模型）

  • 云端基础
  • 本地

第 11 章病理学市场中的人工智慧应用

  • 临床试验和研究
  • 数位病理学和影像分析
  • 疾病诊断与检测
  • 药物研发
  • 预后和风险评估

第 12 章病理学人工智慧市场（按最终用户）

  • 生技公司
  • 合约研究组织
  • 医院和诊所
  • 製药公司
  • 研究机构

13. 美国病理学人工智慧市场

  • 阿根廷
  • 巴西
  • 加拿大
  • 墨西哥
  • 美国

14. 亚太地区病理学人工智慧市场

  • 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

15. 欧洲、中东和非洲病理学人工智慧市场

  • 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

第十六章竞争格局

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

公司名单

  • aetherAI
  • Aiforia Technologies Oyj
  • Akoya Biosciences, Inc.
  • Deep Bio, Inc.
  • Evident Corporation
  • F. Hoffmann-La Roche Ltd.
  • Ibex Medical Analytics Ltd.
  • Indica Labs, Inc.
  • Inspirata, Inc.
  • LUMEA, Inc.
  • MindPeak GmbH
  • Nucleai Inc.
  • OptraSCAN Inc.
  • Paige.AI, Inc.
  • PathAI, Inc.
  • Proscia Inc.
  • Techcyte, Inc.
  • Tempus Labs, Inc.
  • Tribun Health
  • Visikol, Inc. by CELLINK
  • Visiopharm A/S
Product Code: MRR-1730A405FA4B

The Artificial Intelligence in Pathology Market was valued at USD 101.58 million in 2024 and is projected to grow to USD 116.52 million in 2025, with a CAGR of 14.86%, reaching USD 233.36 million by 2030.

KEY MARKET STATISTICS
Base Year [2024] USD 101.58 million
Estimated Year [2025] USD 116.52 million
Forecast Year [2030] USD 233.36 million
CAGR (%) 14.86%

Artificial Intelligence has rapidly transitioned from a futuristic concept into a transformative force within the pathology domain. The intersection of advanced algorithms, expansive datasets, and robust computing power has paved the way for remarkable breakthroughs, reshaping how pathological analysis and diagnostics are conducted. This convergence of technology and healthcare is not only enhancing the accuracy and speed of disease detection but also opening new avenues for innovation and research. The current climate is ripe with opportunities as cutting-edge solutions improve workflow efficiency, elevate diagnostic precision, and streamline the integration of data across diverse clinical settings. As the field accelerates towards a more digitized future, stakeholders must embrace these technological advances, which continue to drive improvements in patient care and operational outcomes.

In recent decades, technology has continuously disrupted traditional methods within pathology. As digital solutions become more sophisticated, there is an increasing reliance on data-driven decisions, augmented imaging, and machine-assisted diagnostics. This wave of transformation is clear evidence of the critical role that artificial intelligence is playing in redefining operational standards. From academic research to large-scale clinical implementations, the impact of AI is visible at every step of the diagnostic process, gradually turning the tide towards more integrated and intuitive systems that promise to deliver better clinical outcomes and streamlined workflows.

Transformative Shifts in the Pathology Landscape

The landscape of pathology is undergoing significant transformation, driven predominantly by the integration of artificial intelligence technologies. Traditional methods that often relied on manual analyses are rapidly being supplanted by more innovative and data-centric approaches. This evolution is underpinned by continuous advancements in machine learning, computer vision, and deep neural networks which have collectively improved the speed and reliability of diagnostic procedures.

These technological shifts are not confined to improvements in image analysis or pattern recognition alone; they are laying the foundation for a complete overhaul of operational dynamics. The evolution from standard pathology practices to digitally enhanced workflows presents opportunities to streamline processes and optimize resource allocation. Decision-making is evolving from solely human judgment to a symbiosis of human expertise enhanced by computational support. Such convergence is fostering an environment where diagnostic precision is enhanced, operational costs are reduced, and the overall patient care continuum is being reimagined.

In addition, real-time data processing and integration are further accelerating this digital transformation. Institutions are now leveraging vast amounts of data, a trend that is being bolstered by cloud technologies and scalable computing power. These factors collectively usher in a new era where pathology not only becomes more efficient but also more accessible globally, paving the way for further breakthroughs in clinical diagnostics and personalized medicine.

Key Segmentation Insights in the AI Pathology Market

The segmentation analysis of the AI pathology market reveals diverse dimensions that paint a comprehensive picture of its growth trajectory and areas of opportunity. The market analysis based on component distinguishes between the services and software aspects, with services further examined through consultation, installation and integration, as well as support and maintenance. On the software side, segmentation delves into distinct categories including clinical trial and research software, data management software, diagnostic software, and image analysis software. Each category provides nuanced insights into how specific technological applications are configured to support the evolving needs of pathology laboratories and research institutions.

Furthermore, when considering the market through the lens of technology type, it is studied across areas such as big data analytics, computer vision, deep learning, machine learning, and natural language processing. This focus on technology emphasizes the breadth of innovation driving advancements, transcending traditional methodologies through integration of sophisticated analytical techniques. Analysis based on pathology type further segments the market into anatomic pathology, clinical pathology, and molecular pathology, thereby addressing the wide range of diagnostic practices and technologies in clinical use today.

Also, the market is segmented based on disease type, focusing on areas such as cancer, cardiovascular diseases, and neurodegenerative disorders. This segmentation not only highlights the areas of highest clinical demand but also reflects the specialized nature of AI applications in identifying and diagnosing complex conditions. Complementing the disease-type segmentation, the deployment model offers a clear differentiation between cloud-based and on-premise solutions, each presenting its own set of advantages and limitations based on the scale and security requirements of the pathology units involved.

In addition, application-based segmentation encompasses a spectrum from clinical trials and research to digital pathology and image analysis, disease diagnosis and detection, drug discovery and development, along with prognostics and risk assessment. This holistic understanding of applications underscores the role of AI in reading, interpreting, and communicating essential clinical data. Lastly, examining the market based on the end user reveals a diverse clientele that includes biotechnology companies, contract research organizations, hospitals and clinics, pharmaceutical companies, and research institutions. Such diverse segmentation reflects the increasingly interconnected nature of technology innovation within the pathology sector and its potential to serve a varied clientele across the healthcare continuum.

Based on Component, market is studied across Services and Software. The Services is further studied across Consultation, Installation & Integration, and Support & Maintenance. The Software is further studied across Clinical Trial and Research Software, Data Management Software, Diagnostic Software, and Image Analysis Software.

Based on Technology Type, market is studied across Big Data Analytics, Computer Vision, Deep Learning, Machine Learning, and Natural Language Processing.

Based on Pathology Type, market is studied across Anatomic Pathology, Clinical Pathology, and Molecular Pathology.

Based on Disease Type, market is studied across Cancer, Cardiovascular Diseases, and Neurodegenerative Disorders.

Based on Deployment Model, market is studied across Cloud-Based and On-Premise.

Based on Application, market is studied across Clinical Trials & Research, Digital Pathology & Image Analysis, Disease Diagnosis & Detection, Drug Discovery & Development, and Prognostics & Risk Assessment.

Based on End User, market is studied across Biotechnology Companies, Contract Research Organization, Hospitals & Clinics, Pharmaceutical Companies, and Research Institutions.

Regional Dynamics Shaping Market Growth

The regional analysis of the AI pathology market showcases distinct yet interconnected trends across different geographies. The market dynamics in the Americas highlight a robust foundation with extensive research collaborations and progressive regulatory frameworks that foster rapid technological adoption. In another part of the globe, the region encompassing Europe, the Middle East, and Africa presents a unique blend of mature healthcare systems and emerging digital economies, all of which catalyze the integration of AI solutions into traditional pathology practices. Asia-Pacific, too, offers a competitive landscape driven by innovative technology adoption and expansive healthcare reforms, positioning it as a pivotal player in the global arena.

Each region contributes uniquely to the overall market narrative by emphasizing different aspects of technology adoption, integration, and innovation. While the Americas set high benchmarks in terms of research investments and clinical implementations, Europe, the Middle East, and Africa emphasize balancing advanced digital solutions with localized healthcare needs. Asia-Pacific stands out for its rapid urbanization and increasing tech-savvy populations, driving significant investment inflows that are critical to supporting cutting-edge developments in the field. Together, these regional insights not only underscore the heterogeneous nature of market evolution but also serve as vital indicators of where future growth and innovation are likely to concentrate.

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.

Competitive Landscape: Leading Companies in AI Pathology

The competitive landscape in the AI pathology market features an array of formidable players demonstrating robust capabilities and innovative solutions across the spectrum of diagnostic technologies. Companies such as aetherAI and Aiforia Technologies Oyj are at the forefront, harnessing advanced algorithms and state-of-the-art imaging solutions to transform data into actionable insights. Akoya Biosciences, Inc. has established a strong presence by deploying sophisticated platforms that enable precise quantification of biomarkers, while Deep Bio, Inc. continues to push boundaries with novel approaches in digital diagnostics. Evident Corporation and F. Hoffmann-La Roche Ltd. offer extensive portfolios that combine both high-performance hardware and intuitive software solutions.

Further, organizations like Ibex Medical Analytics Ltd. and Indica Labs, Inc. are revolutionizing diagnostic procedures through the incorporation of machine learning and real-time analytics. Innovators such as Inspirata, Inc., LUMEA, Inc., and MindPeak GmbH are redefining research paradigms by seamlessly integrating AI into clinical workflows. The landscape is further enriched by the contributions of Nucleai Inc. and OptraSCAN Inc., whose methodologies intersect advanced image processing with diagnostic precision. Paige.AI, Inc. and PathAI, Inc. are recognized for their deep learning platforms that significantly enhance diagnostic accuracy and workflow speed. Leaders like Proscia Inc. and Techcyte, Inc. are implementing systems designed to scale across global pathology networks, while Tempus Labs, Inc., Tribun Health, Visikol, Inc. by CELLINK, and Visiopharm A/S are pioneering collaborative efforts that blend clinical expertise with technological innovation. Collectively, these companies are not only setting benchmarks for technological performance but are also instrumental in driving the evolution of AI-powered diagnostic applications globally.

The report delves into recent significant developments in the Artificial Intelligence in Pathology Market, highlighting leading vendors and their innovative profiles. These include aetherAI, Aiforia Technologies Oyj, Akoya Biosciences, Inc., Deep Bio, Inc., Evident Corporation, F. Hoffmann-La Roche Ltd., Ibex Medical Analytics Ltd., Indica Labs, Inc., Inspirata, Inc., LUMEA, Inc., MindPeak GmbH, Nucleai Inc., OptraSCAN Inc., Paige.AI, Inc., PathAI, Inc., Proscia Inc., Techcyte, Inc., Tempus Labs, Inc., Tribun Health, Visikol, Inc. by CELLINK, and Visiopharm A/S. Actionable Recommendations for Industry Leaders

Industry leaders are encouraged to develop a strategic roadmap that leverages the transformative potential of AI technologies within the pathology domain. It is imperative to engage in detailed market analysis to tailor solutions that address specific operational challenges and patient care needs. Decision-makers should prioritize investments in scalable digital platforms while ensuring that robust data governance frameworks are in place to support patient confidentiality and regulatory compliance.

It is advisable to foster partnerships with technology innovators and academic institutions to co-develop solutions that ensure integration of the latest AI methodologies. By aligning research initiatives with practical implementations, leaders can ensure ongoing innovation that adapts to emerging trends in predictive analytics and precision diagnostics. Additionally, optimizing workforce training programs to enhance digital proficiency will be critical, aligning human resources with technology-driven requirements. The ongoing emphasis on cloud-based and on-premise solutions points to the need for flexible deployment models that can meet the varying demands of large institutions as well as smaller healthcare providers.

Leaders should also invest in integrated diagnostic systems designed to work seamlessly with existing hardware infrastructures, thereby minimizing transitional hurdles and maximizing return on investment. Continuous monitoring of key performance indicators is essential to assess the effectiveness of implemented solutions and drive iterative enhancements. In this manner, fostering an environment that not only embraces change but also anticipates future disruptions will be paramount in staying ahead in a competitive market landscape.

Conclusion and Future Outlook

In conclusion, the advent of artificial intelligence in pathology represents a paradigm shift that is set to redefine the industry landscape. Innovations in deep learning, data analytics, and computer vision are not merely incremental improvements but are foundational changes that enhance the accuracy and efficiency of diagnostic practices. As the market continues to mature, the integration of AI is poised to revolutionize the clinical process, driving significant improvements in workflow integration, predictive accuracy, and patient outcomes.

The future promises continued evolution, where artificial intelligence will drive not only diagnostic innovations but also catalyze a broader transformation within healthcare systems. From strategic investments in digital platforms to collaborations that bridge technology and clinical expertise, the interplay of innovative technology and robust regulatory practices will set the stage for sustained growth. As the industry adapts to this new wave of digital disruption, leaders must remain agile, continuously evolving their strategies to harness the full potential of AI-driven solutions. By doing so, they will ensure that the promise of artificial intelligence translates into real-world benefits both for practitioners and patients alike.

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. Increasing adoption of AI-powered diagnostic tools by healthcare providers
      • 5.1.1.2. Rising interest in AI-driven tumor profiling to personalize cancer treatment
      • 5.1.1.3. Surging need for AI in automating routine lab processes
    • 5.1.2. Restraints
      • 5.1.2.1. High initial investment costs and interoperability issues
    • 5.1.3. Opportunities
      • 5.1.3.1. Partnerships and collaborations to advance AI Integration in pathology laboratories
      • 5.1.3.2. Investments and funding to enhance precision medicine with AI
    • 5.1.4. Challenges
      • 5.1.4.1. Regulatory and compliance issues associated with AI deployment in the pathology sector
  • 5.2. Market Segmentation Analysis
    • 5.2.1. Component: Increasing usage of data management software for enhancing AI applications in pathology
    • 5.2.2. End User: Adoption of artificial intelligence in pathology for hospitals & clinics in revolutionizing patient care
  • 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 Pathology Market, by Component

  • 6.1. Introduction
  • 6.2. Services
    • 6.2.1. Consultation
    • 6.2.2. Installation & Integration
    • 6.2.3. Support & Maintenance
  • 6.3. Software
    • 6.3.1. Clinical Trial and Research Software
    • 6.3.2. Data Management Software
    • 6.3.3. Diagnostic Software
    • 6.3.4. Image Analysis Software

7. Artificial Intelligence in Pathology Market, by Technology Type

  • 7.1. Introduction
  • 7.2. Big Data Analytics
  • 7.3. Computer Vision
  • 7.4. Deep Learning
  • 7.5. Machine Learning
  • 7.6. Natural Language Processing

8. Artificial Intelligence in Pathology Market, by Pathology Type

  • 8.1. Introduction
  • 8.2. Anatomic Pathology
  • 8.3. Clinical Pathology
  • 8.4. Molecular Pathology

9. Artificial Intelligence in Pathology Market, by Disease Type

  • 9.1. Introduction
  • 9.2. Cancer
  • 9.3. Cardiovascular Diseases
  • 9.4. Neurodegenerative Disorders

10. Artificial Intelligence in Pathology Market, by Deployment Model

  • 10.1. Introduction
  • 10.2. Cloud-Based
  • 10.3. On-Premise

11. Artificial Intelligence in Pathology Market, by Application

  • 11.1. Introduction
  • 11.2. Clinical Trials & Research
  • 11.3. Digital Pathology & Image Analysis
  • 11.4. Disease Diagnosis & Detection
  • 11.5. Drug Discovery & Development
  • 11.6. Prognostics & Risk Assessment

12. Artificial Intelligence in Pathology Market, by End User

  • 12.1. Introduction
  • 12.2. Biotechnology Companies
  • 12.3. Contract Research Organization
  • 12.4. Hospitals & Clinics
  • 12.5. Pharmaceutical Companies
  • 12.6. Research Institutions

13. Americas Artificial Intelligence in Pathology Market

  • 13.1. Introduction
  • 13.2. Argentina
  • 13.3. Brazil
  • 13.4. Canada
  • 13.5. Mexico
  • 13.6. United States

14. Asia-Pacific Artificial Intelligence in Pathology Market

  • 14.1. Introduction
  • 14.2. Australia
  • 14.3. China
  • 14.4. India
  • 14.5. Indonesia
  • 14.6. Japan
  • 14.7. Malaysia
  • 14.8. Philippines
  • 14.9. Singapore
  • 14.10. South Korea
  • 14.11. Taiwan
  • 14.12. Thailand
  • 14.13. Vietnam

15. Europe, Middle East & Africa Artificial Intelligence in Pathology Market

  • 15.1. Introduction
  • 15.2. Denmark
  • 15.3. Egypt
  • 15.4. Finland
  • 15.5. France
  • 15.6. Germany
  • 15.7. Israel
  • 15.8. Italy
  • 15.9. Netherlands
  • 15.10. Nigeria
  • 15.11. Norway
  • 15.12. Poland
  • 15.13. Qatar
  • 15.14. Russia
  • 15.15. Saudi Arabia
  • 15.16. South Africa
  • 15.17. Spain
  • 15.18. Sweden
  • 15.19. Switzerland
  • 15.20. Turkey
  • 15.21. United Arab Emirates
  • 15.22. United Kingdom

16. Competitive Landscape

  • 16.1. Market Share Analysis, 2024
  • 16.2. FPNV Positioning Matrix, 2024
  • 16.3. Competitive Scenario Analysis
    • 16.3.1. AP-HP partners with Aiforia for advancing AI in prostate cancer diagnostics
    • 16.3.2. Quest diagnostics partners with PathAI to propel AI-driven cancer diagnosis
    • 16.3.3. Roche and PathAI collaborate to enhance AI-driven digital pathology for precision medicine
  • 16.4. Strategy Analysis & Recommendation

Companies Mentioned

  • 1. aetherAI
  • 2. Aiforia Technologies Oyj
  • 3. Akoya Biosciences, Inc.
  • 4. Deep Bio, Inc.
  • 5. Evident Corporation
  • 6. F. Hoffmann-La Roche Ltd.
  • 7. Ibex Medical Analytics Ltd.
  • 8. Indica Labs, Inc.
  • 9. Inspirata, Inc.
  • 10. LUMEA, Inc.
  • 11. MindPeak GmbH
  • 12. Nucleai Inc.
  • 13. OptraSCAN Inc.
  • 14. Paige.AI, Inc.
  • 15. PathAI, Inc.
  • 16. Proscia Inc.
  • 17. Techcyte, Inc.
  • 18. Tempus Labs, Inc.
  • 19. Tribun Health
  • 20. Visikol, Inc. by CELLINK
  • 21. Visiopharm A/S

LIST OF FIGURES

  • FIGURE 1. ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET MULTI-CURRENCY
  • FIGURE 2. ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET MULTI-LANGUAGE
  • FIGURE 3. ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET RESEARCH PROCESS
  • FIGURE 4. ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, 2024 VS 2030
  • FIGURE 5. GLOBAL ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, 2018-2030 (USD MILLION)
  • FIGURE 6. GLOBAL ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY REGION, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 7. GLOBAL ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 8. GLOBAL ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY COMPONENT, 2024 VS 2030 (%)
  • FIGURE 9. GLOBAL ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY COMPONENT, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 10. GLOBAL ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY TECHNOLOGY TYPE, 2024 VS 2030 (%)
  • FIGURE 11. GLOBAL ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY TECHNOLOGY TYPE, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 12. GLOBAL ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY PATHOLOGY TYPE, 2024 VS 2030 (%)
  • FIGURE 13. GLOBAL ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY PATHOLOGY TYPE, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 14. GLOBAL ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY DISEASE TYPE, 2024 VS 2030 (%)
  • FIGURE 15. GLOBAL ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY DISEASE TYPE, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 16. GLOBAL ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY DEPLOYMENT MODEL, 2024 VS 2030 (%)
  • FIGURE 17. GLOBAL ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY DEPLOYMENT MODEL, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 18. GLOBAL ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY APPLICATION, 2024 VS 2030 (%)
  • FIGURE 19. GLOBAL ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY APPLICATION, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 20. GLOBAL ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY END USER, 2024 VS 2030 (%)
  • FIGURE 21. GLOBAL ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY END USER, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 22. AMERICAS ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY COUNTRY, 2024 VS 2030 (%)
  • FIGURE 23. AMERICAS ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 24. UNITED STATES ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY STATE, 2024 VS 2030 (%)
  • FIGURE 25. UNITED STATES ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY STATE, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 26. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY COUNTRY, 2024 VS 2030 (%)
  • FIGURE 27. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 28. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY COUNTRY, 2024 VS 2030 (%)
  • FIGURE 29. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 30. ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SHARE, BY KEY PLAYER, 2024
  • FIGURE 31. ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET, FPNV POSITIONING MATRIX, 2024

LIST OF TABLES

  • TABLE 1. ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SEGMENTATION & COVERAGE
  • TABLE 2. UNITED STATES DOLLAR EXCHANGE RATE, 2018-2024
  • TABLE 3. GLOBAL ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, 2018-2030 (USD MILLION)
  • TABLE 4. GLOBAL ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 5. GLOBAL ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
  • TABLE 6. ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET DYNAMICS
  • TABLE 7. GLOBAL ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 8. GLOBAL ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY SERVICES, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 9. GLOBAL ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY CONSULTATION, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 10. GLOBAL ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY INSTALLATION & INTEGRATION, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 11. GLOBAL ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY SUPPORT & MAINTENANCE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 12. GLOBAL ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 13. GLOBAL ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY SOFTWARE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 14. GLOBAL ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY CLINICAL TRIAL AND RESEARCH SOFTWARE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 15. GLOBAL ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY DATA MANAGEMENT SOFTWARE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 16. GLOBAL ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY DIAGNOSTIC SOFTWARE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 17. GLOBAL ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY IMAGE ANALYSIS SOFTWARE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 18. GLOBAL ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 19. GLOBAL ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY TECHNOLOGY TYPE, 2018-2030 (USD MILLION)
  • TABLE 20. GLOBAL ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY BIG DATA ANALYTICS, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 21. GLOBAL ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY COMPUTER VISION, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 22. GLOBAL ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY DEEP LEARNING, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 23. GLOBAL ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY MACHINE LEARNING, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 24. GLOBAL ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY NATURAL LANGUAGE PROCESSING, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 25. GLOBAL ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY PATHOLOGY TYPE, 2018-2030 (USD MILLION)
  • TABLE 26. GLOBAL ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY ANATOMIC PATHOLOGY, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 27. GLOBAL ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY CLINICAL PATHOLOGY, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 28. GLOBAL ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY MOLECULAR PATHOLOGY, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 29. GLOBAL ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY DISEASE TYPE, 2018-2030 (USD MILLION)
  • TABLE 30. GLOBAL ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY CANCER, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 31. GLOBAL ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY CARDIOVASCULAR DISEASES, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 32. GLOBAL ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY NEURODEGENERATIVE DISORDERS, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 33. GLOBAL ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 34. GLOBAL ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY CLOUD-BASED, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 35. GLOBAL ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY ON-PREMISE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 36. GLOBAL ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 37. GLOBAL ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY CLINICAL TRIALS & RESEARCH, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 38. GLOBAL ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY DIGITAL PATHOLOGY & IMAGE ANALYSIS, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 39. GLOBAL ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY DISEASE DIAGNOSIS & DETECTION, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 40. GLOBAL ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY DRUG DISCOVERY & DEVELOPMENT, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 41. GLOBAL ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY PROGNOSTICS & RISK ASSESSMENT, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 42. GLOBAL ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
  • TABLE 43. GLOBAL ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY BIOTECHNOLOGY COMPANIES, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 44. GLOBAL ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY CONTRACT RESEARCH ORGANIZATION, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 45. GLOBAL ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY HOSPITALS & CLINICS, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 46. GLOBAL ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY PHARMACEUTICAL COMPANIES, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 47. GLOBAL ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY RESEARCH INSTITUTIONS, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 48. AMERICAS ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 49. AMERICAS ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 50. AMERICAS ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 51. AMERICAS ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY TECHNOLOGY TYPE, 2018-2030 (USD MILLION)
  • TABLE 52. AMERICAS ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY PATHOLOGY TYPE, 2018-2030 (USD MILLION)
  • TABLE 53. AMERICAS ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY DISEASE TYPE, 2018-2030 (USD MILLION)
  • TABLE 54. AMERICAS ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 55. AMERICAS ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 56. AMERICAS ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
  • TABLE 57. AMERICAS ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
  • TABLE 58. ARGENTINA ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 59. ARGENTINA ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 60. ARGENTINA ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 61. ARGENTINA ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY TECHNOLOGY TYPE, 2018-2030 (USD MILLION)
  • TABLE 62. ARGENTINA ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY PATHOLOGY TYPE, 2018-2030 (USD MILLION)
  • TABLE 63. ARGENTINA ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY DISEASE TYPE, 2018-2030 (USD MILLION)
  • TABLE 64. ARGENTINA ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 65. ARGENTINA ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 66. ARGENTINA ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
  • TABLE 67. BRAZIL ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 68. BRAZIL ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 69. BRAZIL ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 70. BRAZIL ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY TECHNOLOGY TYPE, 2018-2030 (USD MILLION)
  • TABLE 71. BRAZIL ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY PATHOLOGY TYPE, 2018-2030 (USD MILLION)
  • TABLE 72. BRAZIL ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY DISEASE TYPE, 2018-2030 (USD MILLION)
  • TABLE 73. BRAZIL ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 74. BRAZIL ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 75. BRAZIL ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
  • TABLE 76. CANADA ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 77. CANADA ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 78. CANADA ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 79. CANADA ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY TECHNOLOGY TYPE, 2018-2030 (USD MILLION)
  • TABLE 80. CANADA ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY PATHOLOGY TYPE, 2018-2030 (USD MILLION)
  • TABLE 81. CANADA ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY DISEASE TYPE, 2018-2030 (USD MILLION)
  • TABLE 82. CANADA ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 83. CANADA ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 84. CANADA ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
  • TABLE 85. MEXICO ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 86. MEXICO ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 87. MEXICO ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 88. MEXICO ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY TECHNOLOGY TYPE, 2018-2030 (USD MILLION)
  • TABLE 89. MEXICO ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY PATHOLOGY TYPE, 2018-2030 (USD MILLION)
  • TABLE 90. MEXICO ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY DISEASE TYPE, 2018-2030 (USD MILLION)
  • TABLE 91. MEXICO ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 92. MEXICO ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 93. MEXICO ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
  • TABLE 94. UNITED STATES ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 95. UNITED STATES ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 96. UNITED STATES ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 97. UNITED STATES ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY TECHNOLOGY TYPE, 2018-2030 (USD MILLION)
  • TABLE 98. UNITED STATES ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY PATHOLOGY TYPE, 2018-2030 (USD MILLION)
  • TABLE 99. UNITED STATES ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY DISEASE TYPE, 2018-2030 (USD MILLION)
  • TABLE 100. UNITED STATES ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 101. UNITED STATES ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 102. UNITED STATES ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
  • TABLE 103. UNITED STATES ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY STATE, 2018-2030 (USD MILLION)
  • TABLE 104. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 105. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 106. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 107. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY TECHNOLOGY TYPE, 2018-2030 (USD MILLION)
  • TABLE 108. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY PATHOLOGY TYPE, 2018-2030 (USD MILLION)
  • TABLE 109. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY DISEASE TYPE, 2018-2030 (USD MILLION)
  • TABLE 110. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 111. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 112. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
  • TABLE 113. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
  • TABLE 114. AUSTRALIA ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 115. AUSTRALIA ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 116. AUSTRALIA ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 117. AUSTRALIA ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY TECHNOLOGY TYPE, 2018-2030 (USD MILLION)
  • TABLE 118. AUSTRALIA ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY PATHOLOGY TYPE, 2018-2030 (USD MILLION)
  • TABLE 119. AUSTRALIA ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY DISEASE TYPE, 2018-2030 (USD MILLION)
  • TABLE 120. AUSTRALIA ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 121. AUSTRALIA ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 122. AUSTRALIA ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
  • TABLE 123. CHINA ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 124. CHINA ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 125. CHINA ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 126. CHINA ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY TECHNOLOGY TYPE, 2018-2030 (USD MILLION)
  • TABLE 127. CHINA ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY PATHOLOGY TYPE, 2018-2030 (USD MILLION)
  • TABLE 128. CHINA ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY DISEASE TYPE, 2018-2030 (USD MILLION)
  • TABLE 129. CHINA ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 130. CHINA ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 131. CHINA ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
  • TABLE 132. INDIA ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 133. INDIA ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 134. INDIA ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 135. INDIA ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY TECHNOLOGY TYPE, 2018-2030 (USD MILLION)
  • TABLE 136. INDIA ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY PATHOLOGY TYPE, 2018-2030 (USD MILLION)
  • TABLE 137. INDIA ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY DISEASE TYPE, 2018-2030 (USD MILLION)
  • TABLE 138. INDIA ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 139. INDIA ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 140. INDIA ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
  • TABLE 141. INDONESIA ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 142. INDONESIA ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 143. INDONESIA ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 144. INDONESIA ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY TECHNOLOGY TYPE, 2018-2030 (USD MILLION)
  • TABLE 145. INDONESIA ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY PATHOLOGY TYPE, 2018-2030 (USD MILLION)
  • TABLE 146. INDONESIA ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY DISEASE TYPE, 2018-2030 (USD MILLION)
  • TABLE 147. INDONESIA ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 148. INDONESIA ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 149. INDONESIA ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
  • TABLE 150. JAPAN ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 151. JAPAN ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 152. JAPAN ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 153. JAPAN ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY TECHNOLOGY TYPE, 2018-2030 (USD MILLION)
  • TABLE 154. JAPAN ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY PATHOLOGY TYPE, 2018-2030 (USD MILLION)
  • TABLE 155. JAPAN ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY DISEASE TYPE, 2018-2030 (USD MILLION)
  • TABLE 156. JAPAN ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 157. JAPAN ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 158. JAPAN ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
  • TABLE 159. MALAYSIA ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 160. MALAYSIA ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 161. MALAYSIA ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 162. MALAYSIA ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY TECHNOLOGY TYPE, 2018-2030 (USD MILLION)
  • TABLE 163. MALAYSIA ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY PATHOLOGY TYPE, 2018-2030 (USD MILLION)
  • TABLE 164. MALAYSIA ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY DISEASE TYPE, 2018-2030 (USD MILLION)
  • TABLE 165. MALAYSIA ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 166. MALAYSIA ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 167. MALAYSIA ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
  • TABLE 168. PHILIPPINES ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 169. PHILIPPINES ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 170. PHILIPPINES ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 171. PHILIPPINES ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY TECHNOLOGY TYPE, 2018-2030 (USD MILLION)
  • TABLE 172. PHILIPPINES ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY PATHOLOGY TYPE, 2018-2030 (USD MILLION)
  • TABLE 173. PHILIPPINES ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY DISEASE TYPE, 2018-2030 (USD MILLION)
  • TABLE 174. PHILIPPINES ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 175. PHILIPPINES ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 176. PHILIPPINES ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
  • TABLE 177. SINGAPORE ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 178. SINGAPORE ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 179. SINGAPORE ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 180. SINGAPORE ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY TECHNOLOGY TYPE, 2018-2030 (USD MILLION)
  • TABLE 181. SINGAPORE ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY PATHOLOGY TYPE, 2018-2030 (USD MILLION)
  • TABLE 182. SINGAPORE ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY DISEASE TYPE, 2018-2030 (USD MILLION)
  • TABLE 183. SINGAPORE ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 184. SINGAPORE ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 185. SINGAPORE ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
  • TABLE 186. SOUTH KOREA ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 187. SOUTH KOREA ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 188. SOUTH KOREA ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 189. SOUTH KOREA ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY TECHNOLOGY TYPE, 2018-2030 (USD MILLION)
  • TABLE 190. SOUTH KOREA ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY PATHOLOGY TYPE, 2018-2030 (USD MILLION)
  • TABLE 191. SOUTH KOREA ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY DISEASE TYPE, 2018-2030 (USD MILLION)
  • TABLE 192. SOUTH KOREA ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 193. SOUTH KOREA ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 194. SOUTH KOREA ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
  • TABLE 195. TAIWAN ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 196. TAIWAN ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 197. TAIWAN ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 198. TAIWAN ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY TECHNOLOGY TYPE, 2018-2030 (USD MILLION)
  • TABLE 199. TAIWAN ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY PATHOLOGY TYPE, 2018-2030 (USD MILLION)
  • TABLE 200. TAIWAN ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY DISEASE TYPE, 2018-2030 (USD MILLION)
  • TABLE 201. TAIWAN ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 202. TAIWAN ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 203. TAIWAN ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
  • TABLE 204. THAILAND ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 205. THAILAND ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 206. THAILAND ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 207. THAILAND ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY TECHNOLOGY TYPE, 2018-2030 (USD MILLION)
  • TABLE 208. THAILAND ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY PATHOLOGY TYPE, 2018-2030 (USD MILLION)
  • TABLE 209. THAILAND ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY DISEASE TYPE, 2018-2030 (USD MILLION)
  • TABLE 210. THAILAND ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 211. THAILAND ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 212. THAILAND ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
  • TABLE 213. VIETNAM ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 214. VIETNAM ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 215. VIETNAM ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 216. VIETNAM ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY TECHNOLOGY TYPE, 2018-2030 (USD MILLION)
  • TABLE 217. VIETNAM ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY PATHOLOGY TYPE, 2018-2030 (USD MILLION)
  • TABLE 218. VIETNAM ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY DISEASE TYPE, 2018-2030 (USD MILLION)
  • TABLE 219. VIETNAM ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 220. VIETNAM ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 221. VIETNAM ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
  • TABLE 222. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 223. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 224. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 225. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY TECHNOLOGY TYPE, 2018-2030 (USD MILLION)
  • TABLE 226. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY PATHOLOGY TYPE, 2018-2030 (USD MILLION)
  • TABLE 227. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY DISEASE TYPE, 2018-2030 (USD MILLION)
  • TABLE 228. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 229. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 230. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
  • TABLE 231. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
  • TABLE 232. DENMARK ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 233. DENMARK ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 234. DENMARK ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 235. DENMARK ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY TECHNOLOGY TYPE, 2018-2030 (USD MILLION)
  • TABLE 236. DENMARK ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY PATHOLOGY TYPE, 2018-2030 (USD MILLION)
  • TABLE 237. DENMARK ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY DISEASE TYPE, 2018-2030 (USD MILLION)
  • TABLE 238. DENMARK ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 239. DENMARK ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 240. DENMARK ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
  • TABLE 241. EGYPT ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 242. EGYPT ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 243. EGYPT ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 244. EGYPT ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY TECHNOLOGY TYPE, 2018-2030 (USD MILLION)
  • TABLE 245. EGYPT ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY PATHOLOGY TYPE, 2018-2030 (USD MILLION)
  • TABLE 246. EGYPT ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY DISEASE TYPE, 2018-2030 (USD MILLION)
  • TABLE 247. EGYPT ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 248. EGYPT ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 249. EGYPT ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
  • TABLE 250. FINLAND ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 251. FINLAND ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 252. FINLAND ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 253. FINLAND ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY TECHNOLOGY TYPE, 2018-2030 (USD MILLION)
  • TABLE 254. FINLAND ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY PATHOLOGY TYPE, 2018-2030 (USD MILLION)
  • TABLE 255. FINLAND ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY DISEASE TYPE, 2018-2030 (USD MILLION)
  • TABLE 256. FINLAND ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 257. FINLAND ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 258. FINLAND ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
  • TABLE 259. FRANCE ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 260. FRANCE ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 261. FRANCE ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 262. FRANCE ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY TECHNOLOGY TYPE, 2018-2030 (USD MILLION)
  • TABLE 263. FRANCE ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY PATHOLOGY TYPE, 2018-2030 (USD MILLION)
  • TABLE 264. FRANCE ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY DISEASE TYPE, 2018-2030 (USD MILLION)
  • TABLE 265. FRANCE ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 266. FRANCE ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 267. FRANCE ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
  • TABLE 268. GERMANY ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 269. GERMANY ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 270. GERMANY ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 271. GERMANY ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY TECHNOLOGY TYPE, 2018-2030 (USD MILLION)
  • TABLE 272. GERMANY ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY PATHOLOGY TYPE, 2018-2030 (USD MILLION)
  • TABLE 273. GERMANY ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY DISEASE TYPE, 2018-2030 (USD MILLION)
  • TABLE 274. GERMANY ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 275. GERMANY ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 276. GERMANY ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
  • TABLE 277. ISRAEL ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 278. ISRAEL ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 279. ISRAEL ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 280. ISRAEL ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY TECHNOLOGY TYPE, 2018-2030 (USD MILLION)
  • TABLE 281. ISRAEL ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY PATHOLOGY TYPE, 2018-2030 (USD MILLION)
  • TABLE 282. ISRAEL ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY DISEASE TYPE, 2018-2030 (USD MILLION)
  • TABLE 283. ISRAEL ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 284. ISRAEL ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 285. ISRAEL ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
  • TABLE 286. ITALY ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 287. ITALY ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 288. ITALY ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
  • TABLE 289. ITALY ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY TECHNOLOGY TYPE, 2018-2030 (USD MILLION)
  • TABLE 290. ITALY ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY PATHOLOGY TYPE, 2018-2030 (USD MILLION)
  • TABLE 291. ITALY ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY DISEASE TYPE, 2018-2030 (USD MILLION)
  • TABLE 292. ITALY ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 293. ITALY ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 294. ITALY ARTIFICIAL INTELLIGENCE IN PATHOLOGY MARKET SIZE, BY END USER,