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市場調查報告書
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1718036

病理學人工智慧市場：按組件、按技術類型、按病理類型、按疾病類型、按部署模型、按應用、按最終用戶 - 2025-2030 年全球預測

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個工作天內

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2024 年病理學人工智慧市場價值為 1.0158 億美元，預計 2025 年將成長至 1.1652 億美元，複合年成長率為 14.86%，預計到 2030 年將達到 2.3336 億美元。

主要市場統計數據
基準年2024年 1.0158億美元
預計2025年 1.1652億美元
預測年份 2030 2.3336億美元
複合年成長率（%） 14.86%

人工智慧正迅速從一個未來概念轉變為病理學領域的變革力量。先進的演算法、大量資料集和強大的計算能力的結合正在重塑病理分析和診斷的方式，為實現顯著的突破鋪平道路。科技與醫療保健的融合不僅提高了疾病檢測的準確性和速度，而且開闢了創新和研究的新途徑。由於尖端解決方案可以提高工作流程效率、增強診斷準確性並簡化不同臨床環境中的資料整合，因此當前的情況充滿機會。隨著該行業加速邁向數位化未來，相關人員必須接受這些技術進步，這將繼續推動患者照護和業務結果的改善。

近幾十年來，科技不斷顛覆病理學的傳統方法。隨著數位解決方案變得越來越複雜，人們越來越依賴數據主導的決策、增強成像和機器輔助診斷。這波轉型浪潮明顯證明人工智慧在重新定義業務標準方面發揮關鍵作用。從學術研究到大規模臨床部署，人工智慧的影響體現在診斷過程的每一步，逐漸朝向更整合、直覺的系統發展，有望提供更好的臨床結果和簡化的工作流程。

改變病理學領域的人工智慧市場

病理診斷領域正在發生重大轉變，這主要歸功於人工智慧技術的融合。傳統方法通常依賴手動分析，但正迅速被更具創新性的以數據為中心的方法所取代。這一演變的基礎是機器學習、電腦視覺和深度神經網路的不斷進步，這些進步正在迅速提高診斷程序的速度和可靠性。

這種技術轉變超越了改進的影像分析和模式識別；它為徹底改革營運動態奠定了基礎。標準病理學實踐向數位化工作流程的演變為簡化流程和最佳化資源分配提供了機會。決策正在從單純的人類判斷發展為人類專業知識與計算支持的共生。這種融合營造了一種提高診斷準確性、降低營運成本並重建整體患者照護連續性的環境。

此外，即時數據處理和整合正在進一步加速這一數位轉型。醫療保健組織現在正在利用大量數據，這一趨勢由雲端技術和可擴展運算能力推動。這些因素共同開啟了一個新時代，病理學不僅更加高效，而且在全球範圍內更容易獲得，為臨床診斷和個人化醫療的進一步飛躍鋪平了道路。

AI病理學市場的關鍵細分洞察

AI病理學市場的細分分析揭示了不同的維度，全面描繪了其成長軌跡和機會領域。基於組件的市場分析區分了服務端和軟體端，在服務端進一步考慮諮詢、安裝與整合、支援與維護。從軟體方面來看，分為臨床試驗/研究軟體、資料管理軟體、診斷軟體、影像分析軟體等類別。每個類別都提供了關於如何配置特定技術應用以支援病理實驗室和研究組織不斷變化的需求的細緻見解。

此外，從技術類型的角度來看市場，它會涉及巨量資料分析、電腦視覺、深度學習、機器學習和自然語言處理等領域。對技術的關注凸顯了超越傳統方法的創新廣度，並透過整合先進的分析方法來推動進步。根據病理類型的分析進一步將市場細分為解剖病理學、臨床病理學和分子病理學，從而涵蓋當今臨床實踐中使用的廣泛的診斷技術和技術。

它還根據疾病類型對市場進行細分，重點關注癌症、心血管疾病和神經退化性疾病等領域。這種細分不僅突顯了臨床需求最大的領域，也反映了人工智慧應用在識別和診斷複雜病理方面的特殊性。作為疾病類型細分的補充，部署模型提供了雲端基礎和內部解決方案之間的明顯區分，每個解決方案都根據所涉及的病理單元的規模和安全要求呈現出各自的優勢和局限性。

此外，基於應用的細分涵蓋了從臨床試驗和研究到數位病理學和影像分析、疾病診斷和檢測、藥物發現和開發、預後和風險評估等領域。這種對應用的全面理解突顯了人工智慧在閱讀、解釋和傳達關鍵臨床數據方面的作用。最後，當按最終用戶檢查市場時，我們發現客戶群多種多樣，包括生物技術公司、委外研發機構、醫院和診所、製藥公司和研究機構。這種多樣化的細分反映了病理學技術創新日益相互關聯的性質，以及為醫療保健領域的不同客戶提供服務的潛力。

目錄

第1章 引言

第2章調查方法

第3章執行摘要

第4章 市場概述

第5章 市場洞察

  • 市場動態
    • 驅動程式
      • 醫療保健提供者擴大採用人工智慧診斷工具
      • 人們對人工智慧驅動的腫瘤分析用於個人化癌症治療的興趣日益濃厚
      • 人工智慧在實驗室常規流程自動化方面的需求日益成長
    • 限制因素
      • 初始投資成本高且互通性問題
    • 機會
      • 夥伴關係關係，推動病理實驗室的人工智慧整合
      • 投資和資金用於加強利用人工智慧的精準醫療
    • 任務
      • 病理學領域人工智慧應用的監管及合規問題
  • 市場區隔分析
    • 組件：增加資料管理軟體的使用，為病理學中的人工智慧應用提供支援
    • 最終用戶：病理學中人工智慧的應用將改變醫院和診所的患者照護
  • 波特五力分析
  • PESTEL分析
    • 政治的
    • 經濟
    • 社會
    • 技術的
    • 合法的
    • 環境

6. 病理學人工智慧市場（按組成部分）

  • 服務
    • 諮詢
    • 安裝和整合
    • 支援和維護
  • 軟體
    • 臨床試驗和研究軟體
    • 資料管理軟體
    • 診斷軟體
    • 影像分析軟體

7. 病理學人工智慧市場（依技術類型）

  • 巨量資料分析
  • 電腦視覺
  • 深度學習
  • 機器學習
  • 自然語言處理

8. 病理學人工智慧市場（依病理型態）

  • 解剖病理學
  • 臨床病理學
  • 分子病理學

第9章 病理學人工智慧市場（按疾病類型）

  • 癌症
  • 心血管疾病
  • 神經退化性疾病

第 10 章病理學人工智慧市場（按部署模型）

  • 雲端基礎
  • 本地

第 11 章病理學市場中的人工智慧應用

  • 臨床試驗和研究
  • 數位病理學和影像分析
  • 疾病診斷與檢測
  • 藥物研發
  • 預後和風險評估

第 12 章病理學人工智慧市場（按最終用戶）

  • 生技公司
  • 合約研究組織
  • 醫院和診所
  • 製藥公司
  • 研究機構

13. 美國病理學人工智慧市場

  • 阿根廷
  • 巴西
  • 加拿大
  • 墨西哥
  • 美國

14. 亞太地區病理學人工智慧市場

  • 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

15. 歐洲、中東和非洲病理學人工智慧市場

  • 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16章競爭格局

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

公司名單

  • 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,