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市場調查報告書
商品編碼
1718044

再生醫學人工智慧市場（按技術、功能、發展階段、應用和最終用戶產業）—2025 年至 2030 年全球預測

Artificial Intelligence in Regenerative Medicine Market by Technology, Functionality, Stage Of Development, Application, End-User Industry - 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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再生醫學人工智慧市場預計到 2024 年將達到 1.9046 億美元，到 2025 年將達到 2.317 億美元，複合年成長率為 22.16%，到 ​​2030 年將達到 6.3317 億美元。

主要市場統計數據
基準年2024年 1.9046億美元
預計年份：2025年 2.317億美元
預測年份 2030 6.3317億美元
複合年成長率（%） 22.16%

人工智慧正迅速成為再生醫學領域的變革力量，為診斷、治療和復健提供前所未有的能力。透過將複雜的演算法與臨床專業知識相結合，專家們正在為組織工程、個人化治療和患者照護策略開闢新的可能性。在當前的情況下，AI不再只是一個輔助工具；它是推動創新、改善病人治療效果和加速救生治療發展的核心要素。

資料科學與生物醫學研究的交叉正在促使臨床醫生、科學家和工程師應對複雜醫學挑戰的方式發生轉變。這種演變的特點是能夠處理大量資料、識別有意義的模式並以以前無法達到的精度預測結果。無論是增強診斷影像技術或最佳化藥物發現流程，人工智慧與再生醫學的整合都代表著向更有效率、證據驅動的未來的動態轉變。

本概述探討了這項技術的諸多好處，討論了整個行業正在發生的變革性變化，對關鍵細分市場進行了分類，並提供了針對區域和公司的見解。這裡展開的故事凸顯了人工智慧在克服再生醫學傳統限制方面的戰略重要性，使其成為致力於開拓下一代醫療解決方案的相關人員的重要資產。

人工智慧將如何改變再生醫學

近年來，人工智慧與再生醫學的融合引發了一場變革，正在重塑產業格局。傳統的再生醫學方法常常受到漫長的研究週期和經驗方法的阻礙，而人工智慧的預測和分析能力則大大增強了再生醫學的方法。這一轉變標誌著一些重要的進步。

其中最主要的是治療計劃決策的革命。演算法現在可以即時分析患者的特定數據，從而製定根據患者病情動態調整的個人化治療計劃。這種程度的客製化曾經是一個難以實現的目標，現在可以透過迭代機器學習過程和現實世界的資料整合來實現。

此外，人工智慧與關鍵生物醫學影像處理技術的融合正在提高再生程序的精確度。改進的影像處理使臨床醫生能夠準確評估組織損傷並在分子水平上監測癒合過程。這些能力支持在臨床環境中採取更積極的方法，其中快速干涉可能意味著康復和慢性之間的區別。

最後，人工智慧的應用也在不斷擴大，以最佳化臨床測試和監管調查。透過在嚴格的計算模型中模擬數百種場景，研究團隊可以自信地簡化臨床測試，加快監管核准，並最終更快地將創新治療方法推向市場。這不僅最大限度地提高了效率，而且還確保患者能夠更快地受益於尖端治療。

人工智慧再生醫學市場分析及關鍵細分領域洞察

人工智慧再生醫學市場的細分是多方面的，反映了多樣化的技術創新和應用機會。在基於技術研究市場時，必須認知到電腦視覺、機器學習演算法、自然語言處理和機器人等領域都為整體格局貢獻了各自獨特的能力。例如，電腦視覺正在透過影像處理和視訊分析等專門的子領域發展，從而實現準確的視覺診斷和治療結果的追蹤。同時，機器學習演算法分為深度學習、強化學習、監督式學習和無監督學習，每種演算法在分析深度和自適應學習方面各有優勢。自然語言處理透過語音辨識和文字分析的應用而增強，透過將非結構化臨床數據轉化為可操作的見解來補充這些技術。

在功能方面，市場對決策支援系統、預測分析和工作流程最佳化等主題進行了審查。這些功能突顯了增強臨床決策流程和簡化醫療程序的業務優勢。研究工作進一步延伸至開發階段的評估，其中臨床和臨床前測試等環節發揮關鍵作用，並作為再生醫學人工智慧應用成熟度和檢驗的重要基準。

而且應用領域複雜多元，涉及心血管疾病、神經內科、腫瘤科、眼科、骨科等廣泛領域。每個治療領域進一步細分，心血管應用分為心肌梗塞治療和血管組織修復，神經學則專注於神經退化性疾病和創傷性腦損傷修復。同樣，在腫瘤學領域，我們正在研究癌症疫苗和基因轉移療法的創新；在眼部科學領域，我們正在研究角膜修復以及視網膜疾病的治療；在整形外科，我們正在深入研究骨再生、軟骨修復和脊椎疾病的治療。最後，我們將最終用戶產業視為細分的重要觀點。在這裡，學術研究機構、生物技術公司和醫院診所提供了清晰的見解，反映了這一快速發展的領域中各個相關人員的不同需求和策略重點。

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
      • 全球範圍內慢性病的盛行率正在上升
      • 生技公司加大對人工智慧再生醫學的投資
      • 人工智慧在再生醫學自動化數據分析和預測建模中的作用日益擴大
    • 限制因素
      • 開發基於人工智慧的再生醫學解決方案高成本
    • 機會
      • 人工智慧驅動的預測模型的出現，用於早期發現和個人化治療退化性疾病
      • 利用機器學習最佳化幹細胞療法以改善患者治療效果
    • 任務
      • 人工智慧在再生醫學的應用資料隱私問題
  • 市場區隔分析
    • 技術：機器學習演算法在診斷和個人化醫療的廣泛效用
    • 終端用戶產業：生物技術公司在藥物研發中擴大採用人工智慧
  • 波特五力分析
  • PESTEL分析
    • 政治
    • 經濟
    • 社會
    • 科技
    • 法律
    • 環境

第6章 再生醫學人工智慧市場（按技術）

  • 介紹
  • 電腦視覺
    • 影像處理
    • 影片分析
  • 機器學習演算法
    • 深度學習
    • 強化學習
    • 監督學習
    • 無監督學習
  • 自然語言處理
    • 語音辨識
    • 文字分析
  • 機器人技術

第7章再生醫學市場中的人工智慧（按功能）

  • 介紹
  • 決策支援系統
  • 預測分析
  • 最佳化您的工作流程

第8章再生醫學人工智慧市場（依發展階段）

  • 介紹
  • 臨床
  • 臨床前

第9章再生醫學人工智慧市場（按應用）

  • 介紹
  • 心血管疾病
    • 心肌梗塞的治療
    • 血管組織修復
  • 神經病學
    • 神經退化性疾病
    • 修復創傷性腦損傷
  • 腫瘤學
    • 癌症疫苗
    • 基因轉移療法
  • 眼科
    • 角膜修復
    • 視網膜疾病治療
  • 整形外科
    • 骨再生
    • 軟骨修復
    • 脊椎疾病的治療

第 10 章。按最終用戶行業分類的再生醫學市場中的人工智慧

  • 介紹
  • 學術研究所
  • 生技公司
  • 醫院和診所

第 11 章美國再生醫學人工智慧市場

  • 介紹
  • 阿根廷
  • 巴西
  • 加拿大
  • 墨西哥
  • 美國

12. 亞太再生醫學人工智慧市場

  • 介紹
  • 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

第13章歐洲、中東和非洲再生醫學人工智慧市場

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

第14章競爭格局

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

公司名單

  • Aiforia Technologies Plc
  • Aspen Neuroscience
  • Celularity Inc.
  • Cognetivity Ltd.
  • Deep Genomics Incorporated
  • Exscientia plc
  • F. Hoffmann-La Roche Ltd.
  • Intel Corporation
  • Juvenescence Therapeutics Limited
  • Medtronic PLC
  • Merck KGaA
  • Microsoft Corporation
  • Novo Nordisk A/S
  • NVIDIA Corporation
  • Pandorum Technologies Pvt. Ltd
  • Recursion Pharmaceuticals
  • Sanofi SA
  • SOMITE THERAPEUTICS.
  • Tempus Labs, Inc.
  • Wipro Limited
Product Code: MRR-A6768A62EE02

The Artificial Intelligence in Regenerative Medicine Market was valued at USD 190.46 million in 2024 and is projected to grow to USD 231.70 million in 2025, with a CAGR of 22.16%, reaching USD 633.17 million by 2030.

KEY MARKET STATISTICS
Base Year [2024] USD 190.46 million
Estimated Year [2025] USD 231.70 million
Forecast Year [2030] USD 633.17 million
CAGR (%) 22.16%

Artificial Intelligence has rapidly emerged as a transformative force in the realm of regenerative medicine, offering unprecedented capabilities for diagnosis, treatment, and recovery. By integrating sophisticated algorithms with clinical expertise, professionals are unlocking new potential in tissue engineering, personalized therapies, and patient care strategies. In the current landscape, AI is not just an auxiliary tool but a core component driving innovation, improving patient outcomes, and accelerating the development of life-saving therapies.

The intersection of data science and biomedical research has spurred a shift in how clinicians, scientists, and technologists approach complex medical challenges. This evolution is characterized by the ability to process enormous amounts of data, discern meaningful patterns, and predict outcomes with a degree of precision that was previously unattainable. Whether through enhancing imaging techniques or optimizing drug discovery pipelines, AI's integration into regenerative medicine represents a dynamic shift towards a more efficient, evidence-based future.

In this summary, we explore the myriad benefits of this technology, discuss the transformative shifts taking shape across the industry, break down key market segments, and provide regional as well as company-specific insights. The narrative that unfolds highlights the strategic importance of AI in overcoming traditional limitations in regenerative care, making it an essential asset for stakeholders committed to pioneering next-generation medical solutions.

Transformative Shifts in Regenerative Medicine Driven by AI

In recent years, the integration of artificial intelligence in regenerative medicine has catalyzed transformative shifts that are reshaping the industry landscape. The traditional approach to regenerative therapies, often hindered by protracted research cycles and empirical methodologies, has been significantly augmented by the predictive and analytical prowess of AI. This shift is marked by several key advancements.

Foremost, decision-making in treatment planning has seen a revolution. Algorithms are now capable of analyzing patient-specific data in real time, thereby facilitating personalized treatment plans that adjust dynamically to the patient's progress. This level of customization was once an elusive goal but is now attainable through iterative machine learning processes and real-world data integration.

Moreover, the convergence of AI with critical biomedical imaging techniques has enhanced the precision of regenerative procedures. With improved image processing, clinicians can accurately assess tissue damage and monitor healing processes at a molecular level. These capabilities are driving a more proactive approach in clinical settings, where prompt interventions can make the difference between recovery and chronic conditions.

Finally, the use of AI extends into optimizing clinical trials and regulatory studies. By simulating hundreds of scenarios with rigorous computational models, research teams can confidently streamline trials, accelerate regulatory approvals, and ultimately bring innovative therapies to market more rapidly. The resulting improvements not only maximize efficiency but also ensure that patients benefit from state-of-the-art treatments sooner than ever.

Key Segmentation Insights: Dissecting the AI-Powered Regenerative Medicine Market

The segmentation of the market in AI-driven regenerative medicine is multifaceted, reflecting the diverse technological innovations and application opportunities. When examining the market based on technology, it is essential to recognize that areas such as Computer Vision, Machine Learning Algorithms, Natural Language Processing, and Robotics each contribute unique capabilities to the overall landscape. Computer Vision, for instance, evolves through specialized subdomains like Image Processing and Video Analysis, enabling precise visual diagnostics and tracking of therapeutic outcomes. In parallel, Machine Learning Algorithms are delineated into Deep Learning, Reinforcement Learning, Supervised Learning, and Unsupervised Learning, each offering distinct advantages in analytical depth and adaptive learning. Natural Language Processing, enriched by applications in Speech Recognition and Text Analysis, complements these technologies by transforming unstructured clinical data into actionable insights.

From a functionality perspective, the market is scrutinized under themes such as Decision Support Systems, Predictive Analysis, and Workflow Optimization. These functionalities underscore the operational benefits derived from enhancing clinical decision-making processes and streamlining medical procedures. Investigative efforts further extend to evaluating the Stage Of Development where segments such as Clinical Trials and Preclinical studies play pivotal roles, serving as critical benchmarks in the maturation and validation of AI applications in regenerative therapy.

Moreover, the application spectrum is complex and diverse, covering broad areas such as Cardiovascular Diseases, Neurology, Oncology, Ophthalmology, and Orthopedics. Each of these therapeutic domains is dissected further; cardiovascular applications branch into Myocardial Infarction Therapy and Vascular Tissue Repair, while neurology is characterized by its focus on Neurodegenerative Disorders and Traumatic Brain Injury Repair. Similarly, oncology examines innovations in Cancer Vaccine and Gene Transduction Therapy, ophthalmology explores Corneal Repair alongside Retinal Disease Therapy, and orthopedics delves into Bone Regeneration, Cartilage Repair, as well as Spinal Disorders Treatment. Finally, an essential perspective on segmentation considers the End-User Industry, where distinct insights emerge from Academic And Research Institutes, Biotechnology Companies, and Hospitals And Clinics, reflecting the varied needs and strategic priorities of different stakeholders in this fast-developing field.

Based on Technology, market is studied across Computer Vision, Machine Learning Algorithms, Natural Language Processing, and Robotics. The Computer Vision is further studied across Image Processing and Video Analysis. The Machine Learning Algorithms is further studied across Deep Learning, Reinforcement Learning, Supervised Learning, and Unsupervised Learning. The Natural Language Processing is further studied across Speech Recognition and Text Analysis.

Based on Functionality, market is studied across Decision Support Systems, Predictive Analysis, and Workflow Optimization.

Based on Stage Of Development, market is studied across Clinical Trials and Preclinical.

Based on Application, market is studied across Cardiovascular Diseases, Neurology, Oncology, Ophthalmology, and Orthopedics. The Cardiovascular Diseases is further studied across Myocardial Infarction Therapy and Vascular Tissue Repair. The Neurology is further studied across Neurodegenerative Disorders and Traumatic Brain Injury Repair. The Oncology is further studied across Cancer Vaccine and Gene Transduction Therapy. The Ophthalmology is further studied across Corneal Repair and Retinal Disease Therapy. The Orthopedics is further studied across Bone Regeneration, Cartilage Repair, and Spinal Disorders Treatment.

Based on End-User Industry, market is studied across Academic And Research Institutes, Biotechnology Companies, and Hospitals And Clinics.

Key Regional Insights: Embracing Global Diversity in AI Application

The advancement of AI in regenerative medicine finds varying degrees of adoption and innovation across different regions, each contributing uniquely to the global narrative. In the Americas, the emphasis is on leveraging advanced technological ecosystems, robust research infrastructures, and a strong investment climate to push the boundaries of clinical applications. This region has become a fertile ground for early-stage adoption and large-scale clinical deployments that set the pace for subsequent innovations.

Transitioning to Europe, the Middle East, and Africa, one observes strategic investments in integrated healthcare solutions that blend traditional practices with digital innovation. Here, regulatory frameworks encourage the adoption of AI-driven methodologies while balancing patient safety and technological advancement. The diverse socio-economic environments in this conglomerate area have fostered tailored approaches that are designed to meet local healthcare challenges and optimize regenerative therapies.

In the Asia-Pacific region, rapid economic growth and significant government-backed initiatives in research and development have led to an explosion of AI applications in regenerative medicine. The collaborative spirit between academic institutions, government agencies, and private sector innovators in this region is driving the creation of versatile solutions that address both emerging and established healthcare needs. This global perspective underscores the need for cross-regional collaboration and shared knowledge to harness AI's full potential in transforming regenerative medicine on a worldwide scale.

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

Key Companies Insights: Leaders Driving AI Innovation in Regenerative Therapies

The competitive landscape in AI-integrated regenerative medicine is defined by a host of innovative companies that are setting benchmarks in research, development, and clinical implementation. Industry pioneers such as Aiforia Technologies Plc and Aspen Neuroscience have been instrumental in pushing the envelope of AI-assisted diagnostic imaging and decision support. Celularity Inc. and Cognetivity Ltd. are noted for their contributions in refining machine learning techniques to enhance tissue regeneration processes and patient-specific therapeutic strategies.

Additionally, companies like Deep Genomics Incorporated have successfully leveraged artificial intelligence to decode complex genetic patterns, thereby informing regenerative therapies and preclinical research. Exscientia plc and F. Hoffmann-La Roche Ltd. continue to fortify the link between computational prowess and clinical excellence. The contributions of technology giants such as Intel Corporation, Microsoft Corporation, and NVIDIA Corporation have also facilitated the development of sophisticated computational models that streamline data analysis and accelerate breakthrough innovations.

The market also benefits from dynamic entities like Juvenescence Therapeutics Limited and Medtronic PLC, whose focus spans from enhanced surgical instruments to personalized medicine solutions. Merck KGaA and Novo Nordisk A/S, along with emerging innovators such as Pandorum Technologies Pvt. Ltd and Recursion Pharmaceuticals, exemplify the integration of advanced AI-driven tools in clinical test beds. Furthermore, global healthcare leaders such as Sanofi SA, SOMITE THERAPEUTICS, Tempus Labs, Inc., and Wipro Limited contribute significantly to refining the operational and clinical paradigms that underpin regenerative medicine, thereby ensuring robust, data-driven strategies are implemented at every stage of the therapeutic development process.

The report delves into recent significant developments in the Artificial Intelligence in Regenerative Medicine Market, highlighting leading vendors and their innovative profiles. These include Aiforia Technologies Plc, Aspen Neuroscience, Celularity Inc., Cognetivity Ltd., Deep Genomics Incorporated, Exscientia plc, F. Hoffmann-La Roche Ltd., Intel Corporation, Juvenescence Therapeutics Limited, Medtronic PLC, Merck KGaA, Microsoft Corporation, Novo Nordisk A/S, NVIDIA Corporation, Pandorum Technologies Pvt. Ltd, Recursion Pharmaceuticals, Sanofi SA, SOMITE THERAPEUTICS., Tempus Labs, Inc., and Wipro Limited. Actionable Recommendations for Industry Leaders in AI-Driven Regenerative Medicine

Industry leaders must embrace a proactive strategy to fully capitalize on the transformative potential of artificial intelligence in regenerative medicine. First, bolstering investments in innovative research and development is critical. Decision-makers are encouraged to allocate resources towards developing bespoke applications that align with the unique challenges of regenerative therapy, ensuring that AI algorithms are finely tuned to address specific biological complexities.

It is equally important to foster cross-disciplinary collaborations that bridge clinical expertise with technological innovation. Establishing partnerships between academic institutions, biotechnology companies, and clinical research centers can facilitate the creation of integrated solutions that combine cutting-edge AI techniques with advanced medical practices. This strategy not only enhances the accuracy of diagnostic protocols but also accelerates the timeline from research to clinical application.

Additionally, companies should prioritize the deployment of scalable and flexible AI platforms. By adopting technologies that are both robust and adaptable, organizations can quickly respond to evolving clinical trends and regulatory frameworks. Furthermore, investing in comprehensive data security and patient privacy measures will build a strong foundation of trust and compliance, crucial to the sustained adoption of AI in sensitive medical environments.

Leaders are also advised to conduct regular performance assessments of implemented AI solutions. This involves comprehensive data audits and outcome analyses to ensure that systems deliver measurable improvements in patient care and operational efficiency. Strategic utilization of predictive analytics can further enhance decision-making, enabling proactive adjustments based on real-time data.

Finally, a commitment to continuous learning and skills development across the workforce is essential. Training programs that enhance digital literacy and technical proficiency among clinical and administrative staff will ensure that the full spectrum of AI-enhanced regenerative therapies is effectively leveraged. With these actionable strategies, industry leaders can drive sustainable innovation while simultaneously enhancing patient outcomes and operational efficiency.

Conclusion: Harnessing AI to Redefine the Future of Regenerative Medicine

In conclusion, the proactive integration of artificial intelligence in regenerative medicine is poised to revolutionize current therapeutic paradigms. The comprehensive analysis presented in this executive summary underscores how technological advancements such as sophisticated machine learning models, enhanced imaging techniques, and intricate data analytics are collectively transforming patient care and medical research.

By embracing AI, stakeholders across the spectrum-from clinical practitioners to research scientists and technology innovators-are better positioned to address complex medical challenges, drive down costs, and significantly improve patient outcomes. The market's diverse segmentation spanning technology, functionality, development stages, and applications further highlights the versatility of AI and its capacity to meet multifaceted clinical needs.

Global regional insights and the strategic initiatives of leading companies paint a picture of an industry in rapid evolution, where collaboration and innovation are steering the future of regenerative medicine. The detailed insights provided here serve as a clarion call for further investment, strategic collaborations, and continual innovation. As AI technologies mature and become more closely intertwined with regenerative medicine practices, the ensuing benefits will undoubtedly extend well beyond improved patient outcomes, heralding a new era in personalized and precision medicine.

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 prevalence of chronic diseases across the globe
      • 5.1.1.2. Growing investments from biotech and technology companies for AI-driven regenerative medicine
      • 5.1.1.3. Expanding the role of AI in automating data analysis and predictive modeling in regenerative therapies
    • 5.1.2. Restraints
      • 5.1.2.1. High cost associated with the development of AI-driven regenerative medicine solutions
    • 5.1.3. Opportunities
      • 5.1.3.1. Emergence of AI-driven predictive modeling for early detection and personalized treatment of degenerative diseases
      • 5.1.3.2. Leveraging machine learning for optimizing stem cell therapies and improving patient outcomes
    • 5.1.4. Challenges
      • 5.1.4.1. Concern associated with data privacy in the incorporation of artificial intelligence in regenerative medicine
  • 5.2. Market Segmentation Analysis
    • 5.2.1. Technology: Extensive utility of machine learning algorithms in diagnostics and personalized medicine
    • 5.2.2. End-User Industry: Growing AI adoption by biotechnology companies for drug discovery
  • 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 Regenerative Medicine Market, by Technology

  • 6.1. Introduction
  • 6.2. Computer Vision
    • 6.2.1. Image Processing
    • 6.2.2. Video Analysis
  • 6.3. Machine Learning Algorithms
    • 6.3.1. Deep Learning
    • 6.3.2. Reinforcement Learning
    • 6.3.3. Supervised Learning
    • 6.3.4. Unsupervised Learning
  • 6.4. Natural Language Processing
    • 6.4.1. Speech Recognition
    • 6.4.2. Text Analysis
  • 6.5. Robotics

7. Artificial Intelligence in Regenerative Medicine Market, by Functionality

  • 7.1. Introduction
  • 7.2. Decision Support Systems
  • 7.3. Predictive Analysis
  • 7.4. Workflow Optimization

8. Artificial Intelligence in Regenerative Medicine Market, by Stage Of Development

  • 8.1. Introduction
  • 8.2. Clinical Trials
  • 8.3. Preclinical

9. Artificial Intelligence in Regenerative Medicine Market, by Application

  • 9.1. Introduction
  • 9.2. Cardiovascular Diseases
    • 9.2.1. Myocardial Infarction Therapy
    • 9.2.2. Vascular Tissue Repair
  • 9.3. Neurology
    • 9.3.1. Neurodegenerative Disorders
    • 9.3.2. Traumatic Brain Injury Repair
  • 9.4. Oncology
    • 9.4.1. Cancer Vaccine
    • 9.4.2. Gene Transduction Therapy
  • 9.5. Ophthalmology
    • 9.5.1. Corneal Repair
    • 9.5.2. Retinal Disease Therapy
  • 9.6. Orthopedics
    • 9.6.1. Bone Regeneration
    • 9.6.2. Cartilage Repair
    • 9.6.3. Spinal Disorders Treatment

10. Artificial Intelligence in Regenerative Medicine Market, by End-User Industry

  • 10.1. Introduction
  • 10.2. Academic And Research Institutes
  • 10.3. Biotechnology Companies
  • 10.4. Hospitals And Clinics

11. Americas Artificial Intelligence in Regenerative Medicine Market

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

12. Asia-Pacific Artificial Intelligence in Regenerative Medicine Market

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

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

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

14. Competitive Landscape

  • 14.1. Market Share Analysis, 2024
  • 14.2. FPNV Positioning Matrix, 2024
  • 14.3. Competitive Scenario Analysis
    • 14.3.1. Cellino awarded USD 25 million in funding from ARPA-H to advance regenerative medicine
    • 14.3.2. Northeastern University study highlights AI's potential in advancing stem cell manufacturing
    • 14.3.3. Axolotl Biologix and Carmell Therapeutics enter merger deal
  • 14.4. Strategy Analysis & Recommendation

Companies Mentioned

  • 1. Aiforia Technologies Plc
  • 2. Aspen Neuroscience
  • 3. Celularity Inc.
  • 4. Cognetivity Ltd.
  • 5. Deep Genomics Incorporated
  • 6. Exscientia plc
  • 7. F. Hoffmann-La Roche Ltd.
  • 8. Intel Corporation
  • 9. Juvenescence Therapeutics Limited
  • 10. Medtronic PLC
  • 11. Merck KGaA
  • 12. Microsoft Corporation
  • 13. Novo Nordisk A/S
  • 14. NVIDIA Corporation
  • 15. Pandorum Technologies Pvt. Ltd
  • 16. Recursion Pharmaceuticals
  • 17. Sanofi SA
  • 18. SOMITE THERAPEUTICS.
  • 19. Tempus Labs, Inc.
  • 20. Wipro Limited

LIST OF FIGURES

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

LIST OF TABLES

  • TABLE 1. ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SEGMENTATION & COVERAGE
  • TABLE 2. UNITED STATES DOLLAR EXCHANGE RATE, 2018-2024
  • TABLE 3. GLOBAL ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, 2018-2030 (USD MILLION)
  • TABLE 4. GLOBAL ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 5. GLOBAL ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
  • TABLE 6. ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET DYNAMICS
  • TABLE 7. GLOBAL ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 8. GLOBAL ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY COMPUTER VISION, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 9. GLOBAL ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY IMAGE PROCESSING, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 10. GLOBAL ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY VIDEO ANALYSIS, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 11. GLOBAL ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY COMPUTER VISION, 2018-2030 (USD MILLION)
  • TABLE 12. GLOBAL ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY MACHINE LEARNING ALGORITHMS, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 13. GLOBAL ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY DEEP LEARNING, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 14. GLOBAL ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY REINFORCEMENT LEARNING, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 15. GLOBAL ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY SUPERVISED LEARNING, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 16. GLOBAL ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY UNSUPERVISED LEARNING, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 17. GLOBAL ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY MACHINE LEARNING ALGORITHMS, 2018-2030 (USD MILLION)
  • TABLE 18. GLOBAL ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY NATURAL LANGUAGE PROCESSING, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 19. GLOBAL ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY SPEECH RECOGNITION, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 20. GLOBAL ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY TEXT ANALYSIS, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 21. GLOBAL ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY NATURAL LANGUAGE PROCESSING, 2018-2030 (USD MILLION)
  • TABLE 22. GLOBAL ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY ROBOTICS, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 23. GLOBAL ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY FUNCTIONALITY, 2018-2030 (USD MILLION)
  • TABLE 24. GLOBAL ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY DECISION SUPPORT SYSTEMS, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 25. GLOBAL ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY PREDICTIVE ANALYSIS, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 26. GLOBAL ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY WORKFLOW OPTIMIZATION, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 27. GLOBAL ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY STAGE OF DEVELOPMENT, 2018-2030 (USD MILLION)
  • TABLE 28. GLOBAL ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY CLINICAL TRIALS, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 29. GLOBAL ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY PRECLINICAL, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 30. GLOBAL ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 31. GLOBAL ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY CARDIOVASCULAR DISEASES, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 32. GLOBAL ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY MYOCARDIAL INFARCTION THERAPY, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 33. GLOBAL ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY VASCULAR TISSUE REPAIR, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 34. GLOBAL ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY CARDIOVASCULAR DISEASES, 2018-2030 (USD MILLION)
  • TABLE 35. GLOBAL ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY NEUROLOGY, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 36. GLOBAL ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY NEURODEGENERATIVE DISORDERS, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 37. GLOBAL ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY TRAUMATIC BRAIN INJURY REPAIR, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 38. GLOBAL ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY NEUROLOGY, 2018-2030 (USD MILLION)
  • TABLE 39. GLOBAL ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY ONCOLOGY, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 40. GLOBAL ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY CANCER VACCINE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 41. GLOBAL ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY GENE TRANSDUCTION THERAPY, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 42. GLOBAL ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY ONCOLOGY, 2018-2030 (USD MILLION)
  • TABLE 43. GLOBAL ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY OPHTHALMOLOGY, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 44. GLOBAL ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY CORNEAL REPAIR, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 45. GLOBAL ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY RETINAL DISEASE THERAPY, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 46. GLOBAL ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY OPHTHALMOLOGY, 2018-2030 (USD MILLION)
  • TABLE 47. GLOBAL ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY ORTHOPEDICS, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 48. GLOBAL ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY BONE REGENERATION, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 49. GLOBAL ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY CARTILAGE REPAIR, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 50. GLOBAL ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY SPINAL DISORDERS TREATMENT, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 51. GLOBAL ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY ORTHOPEDICS, 2018-2030 (USD MILLION)
  • TABLE 52. GLOBAL ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY END-USER INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 53. GLOBAL ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY ACADEMIC AND RESEARCH INSTITUTES, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 54. GLOBAL ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY BIOTECHNOLOGY COMPANIES, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 55. GLOBAL ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY HOSPITALS AND CLINICS, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 56. AMERICAS ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 57. AMERICAS ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY COMPUTER VISION, 2018-2030 (USD MILLION)
  • TABLE 58. AMERICAS ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY MACHINE LEARNING ALGORITHMS, 2018-2030 (USD MILLION)
  • TABLE 59. AMERICAS ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY NATURAL LANGUAGE PROCESSING, 2018-2030 (USD MILLION)
  • TABLE 60. AMERICAS ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY FUNCTIONALITY, 2018-2030 (USD MILLION)
  • TABLE 61. AMERICAS ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY STAGE OF DEVELOPMENT, 2018-2030 (USD MILLION)
  • TABLE 62. AMERICAS ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 63. AMERICAS ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY CARDIOVASCULAR DISEASES, 2018-2030 (USD MILLION)
  • TABLE 64. AMERICAS ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY NEUROLOGY, 2018-2030 (USD MILLION)
  • TABLE 65. AMERICAS ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY ONCOLOGY, 2018-2030 (USD MILLION)
  • TABLE 66. AMERICAS ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY OPHTHALMOLOGY, 2018-2030 (USD MILLION)
  • TABLE 67. AMERICAS ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY ORTHOPEDICS, 2018-2030 (USD MILLION)
  • TABLE 68. AMERICAS ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY END-USER INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 69. AMERICAS ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
  • TABLE 70. ARGENTINA ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 71. ARGENTINA ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY COMPUTER VISION, 2018-2030 (USD MILLION)
  • TABLE 72. ARGENTINA ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY MACHINE LEARNING ALGORITHMS, 2018-2030 (USD MILLION)
  • TABLE 73. ARGENTINA ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY NATURAL LANGUAGE PROCESSING, 2018-2030 (USD MILLION)
  • TABLE 74. ARGENTINA ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY FUNCTIONALITY, 2018-2030 (USD MILLION)
  • TABLE 75. ARGENTINA ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY STAGE OF DEVELOPMENT, 2018-2030 (USD MILLION)
  • TABLE 76. ARGENTINA ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 77. ARGENTINA ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY CARDIOVASCULAR DISEASES, 2018-2030 (USD MILLION)
  • TABLE 78. ARGENTINA ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY NEUROLOGY, 2018-2030 (USD MILLION)
  • TABLE 79. ARGENTINA ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY ONCOLOGY, 2018-2030 (USD MILLION)
  • TABLE 80. ARGENTINA ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY OPHTHALMOLOGY, 2018-2030 (USD MILLION)
  • TABLE 81. ARGENTINA ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY ORTHOPEDICS, 2018-2030 (USD MILLION)
  • TABLE 82. ARGENTINA ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY END-USER INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 83. BRAZIL ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 84. BRAZIL ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY COMPUTER VISION, 2018-2030 (USD MILLION)
  • TABLE 85. BRAZIL ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY MACHINE LEARNING ALGORITHMS, 2018-2030 (USD MILLION)
  • TABLE 86. BRAZIL ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY NATURAL LANGUAGE PROCESSING, 2018-2030 (USD MILLION)
  • TABLE 87. BRAZIL ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY FUNCTIONALITY, 2018-2030 (USD MILLION)
  • TABLE 88. BRAZIL ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY STAGE OF DEVELOPMENT, 2018-2030 (USD MILLION)
  • TABLE 89. BRAZIL ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 90. BRAZIL ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY CARDIOVASCULAR DISEASES, 2018-2030 (USD MILLION)
  • TABLE 91. BRAZIL ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY NEUROLOGY, 2018-2030 (USD MILLION)
  • TABLE 92. BRAZIL ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY ONCOLOGY, 2018-2030 (USD MILLION)
  • TABLE 93. BRAZIL ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY OPHTHALMOLOGY, 2018-2030 (USD MILLION)
  • TABLE 94. BRAZIL ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY ORTHOPEDICS, 2018-2030 (USD MILLION)
  • TABLE 95. BRAZIL ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY END-USER INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 96. CANADA ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 97. CANADA ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY COMPUTER VISION, 2018-2030 (USD MILLION)
  • TABLE 98. CANADA ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY MACHINE LEARNING ALGORITHMS, 2018-2030 (USD MILLION)
  • TABLE 99. CANADA ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY NATURAL LANGUAGE PROCESSING, 2018-2030 (USD MILLION)
  • TABLE 100. CANADA ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY FUNCTIONALITY, 2018-2030 (USD MILLION)
  • TABLE 101. CANADA ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY STAGE OF DEVELOPMENT, 2018-2030 (USD MILLION)
  • TABLE 102. CANADA ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 103. CANADA ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY CARDIOVASCULAR DISEASES, 2018-2030 (USD MILLION)
  • TABLE 104. CANADA ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY NEUROLOGY, 2018-2030 (USD MILLION)
  • TABLE 105. CANADA ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY ONCOLOGY, 2018-2030 (USD MILLION)
  • TABLE 106. CANADA ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY OPHTHALMOLOGY, 2018-2030 (USD MILLION)
  • TABLE 107. CANADA ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY ORTHOPEDICS, 2018-2030 (USD MILLION)
  • TABLE 108. CANADA ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY END-USER INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 109. MEXICO ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 110. MEXICO ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY COMPUTER VISION, 2018-2030 (USD MILLION)
  • TABLE 111. MEXICO ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY MACHINE LEARNING ALGORITHMS, 2018-2030 (USD MILLION)
  • TABLE 112. MEXICO ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY NATURAL LANGUAGE PROCESSING, 2018-2030 (USD MILLION)
  • TABLE 113. MEXICO ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY FUNCTIONALITY, 2018-2030 (USD MILLION)
  • TABLE 114. MEXICO ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY STAGE OF DEVELOPMENT, 2018-2030 (USD MILLION)
  • TABLE 115. MEXICO ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 116. MEXICO ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY CARDIOVASCULAR DISEASES, 2018-2030 (USD MILLION)
  • TABLE 117. MEXICO ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY NEUROLOGY, 2018-2030 (USD MILLION)
  • TABLE 118. MEXICO ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY ONCOLOGY, 2018-2030 (USD MILLION)
  • TABLE 119. MEXICO ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY OPHTHALMOLOGY, 2018-2030 (USD MILLION)
  • TABLE 120. MEXICO ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY ORTHOPEDICS, 2018-2030 (USD MILLION)
  • TABLE 121. MEXICO ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY END-USER INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 122. UNITED STATES ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 123. UNITED STATES ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY COMPUTER VISION, 2018-2030 (USD MILLION)
  • TABLE 124. UNITED STATES ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY MACHINE LEARNING ALGORITHMS, 2018-2030 (USD MILLION)
  • TABLE 125. UNITED STATES ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY NATURAL LANGUAGE PROCESSING, 2018-2030 (USD MILLION)
  • TABLE 126. UNITED STATES ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY FUNCTIONALITY, 2018-2030 (USD MILLION)
  • TABLE 127. UNITED STATES ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY STAGE OF DEVELOPMENT, 2018-2030 (USD MILLION)
  • TABLE 128. UNITED STATES ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 129. UNITED STATES ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY CARDIOVASCULAR DISEASES, 2018-2030 (USD MILLION)
  • TABLE 130. UNITED STATES ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY NEUROLOGY, 2018-2030 (USD MILLION)
  • TABLE 131. UNITED STATES ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY ONCOLOGY, 2018-2030 (USD MILLION)
  • TABLE 132. UNITED STATES ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY OPHTHALMOLOGY, 2018-2030 (USD MILLION)
  • TABLE 133. UNITED STATES ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY ORTHOPEDICS, 2018-2030 (USD MILLION)
  • TABLE 134. UNITED STATES ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY END-USER INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 135. UNITED STATES ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY STATE, 2018-2030 (USD MILLION)
  • TABLE 136. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 137. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY COMPUTER VISION, 2018-2030 (USD MILLION)
  • TABLE 138. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY MACHINE LEARNING ALGORITHMS, 2018-2030 (USD MILLION)
  • TABLE 139. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY NATURAL LANGUAGE PROCESSING, 2018-2030 (USD MILLION)
  • TABLE 140. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY FUNCTIONALITY, 2018-2030 (USD MILLION)
  • TABLE 141. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY STAGE OF DEVELOPMENT, 2018-2030 (USD MILLION)
  • TABLE 142. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 143. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY CARDIOVASCULAR DISEASES, 2018-2030 (USD MILLION)
  • TABLE 144. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY NEUROLOGY, 2018-2030 (USD MILLION)
  • TABLE 145. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY ONCOLOGY, 2018-2030 (USD MILLION)
  • TABLE 146. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY OPHTHALMOLOGY, 2018-2030 (USD MILLION)
  • TABLE 147. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY ORTHOPEDICS, 2018-2030 (USD MILLION)
  • TABLE 148. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY END-USER INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 149. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
  • TABLE 150. AUSTRALIA ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 151. AUSTRALIA ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY COMPUTER VISION, 2018-2030 (USD MILLION)
  • TABLE 152. AUSTRALIA ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY MACHINE LEARNING ALGORITHMS, 2018-2030 (USD MILLION)
  • TABLE 153. AUSTRALIA ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY NATURAL LANGUAGE PROCESSING, 2018-2030 (USD MILLION)
  • TABLE 154. AUSTRALIA ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY FUNCTIONALITY, 2018-2030 (USD MILLION)
  • TABLE 155. AUSTRALIA ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY STAGE OF DEVELOPMENT, 2018-2030 (USD MILLION)
  • TABLE 156. AUSTRALIA ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 157. AUSTRALIA ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY CARDIOVASCULAR DISEASES, 2018-2030 (USD MILLION)
  • TABLE 158. AUSTRALIA ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY NEUROLOGY, 2018-2030 (USD MILLION)
  • TABLE 159. AUSTRALIA ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY ONCOLOGY, 2018-2030 (USD MILLION)
  • TABLE 160. AUSTRALIA ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY OPHTHALMOLOGY, 2018-2030 (USD MILLION)
  • TABLE 161. AUSTRALIA ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY ORTHOPEDICS, 2018-2030 (USD MILLION)
  • TABLE 162. AUSTRALIA ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY END-USER INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 163. CHINA ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 164. CHINA ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY COMPUTER VISION, 2018-2030 (USD MILLION)
  • TABLE 165. CHINA ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY MACHINE LEARNING ALGORITHMS, 2018-2030 (USD MILLION)
  • TABLE 166. CHINA ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY NATURAL LANGUAGE PROCESSING, 2018-2030 (USD MILLION)
  • TABLE 167. CHINA ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY FUNCTIONALITY, 2018-2030 (USD MILLION)
  • TABLE 168. CHINA ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY STAGE OF DEVELOPMENT, 2018-2030 (USD MILLION)
  • TABLE 169. CHINA ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 170. CHINA ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY CARDIOVASCULAR DISEASES, 2018-2030 (USD MILLION)
  • TABLE 171. CHINA ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY NEUROLOGY, 2018-2030 (USD MILLION)
  • TABLE 172. CHINA ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY ONCOLOGY, 2018-2030 (USD MILLION)
  • TABLE 173. CHINA ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY OPHTHALMOLOGY, 2018-2030 (USD MILLION)
  • TABLE 174. CHINA ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY ORTHOPEDICS, 2018-2030 (USD MILLION)
  • TABLE 175. CHINA ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY END-USER INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 176. INDIA ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 177. INDIA ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY COMPUTER VISION, 2018-2030 (USD MILLION)
  • TABLE 178. INDIA ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY MACHINE LEARNING ALGORITHMS, 2018-2030 (USD MILLION)
  • TABLE 179. INDIA ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY NATURAL LANGUAGE PROCESSING, 2018-2030 (USD MILLION)
  • TABLE 180. INDIA ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY FUNCTIONALITY, 2018-2030 (USD MILLION)
  • TABLE 181. INDIA ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY STAGE OF DEVELOPMENT, 2018-2030 (USD MILLION)
  • TABLE 182. INDIA ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 183. INDIA ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY CARDIOVASCULAR DISEASES, 2018-2030 (USD MILLION)
  • TABLE 184. INDIA ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY NEUROLOGY, 2018-2030 (USD MILLION)
  • TABLE 185. INDIA ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY ONCOLOGY, 2018-2030 (USD MILLION)
  • TABLE 186. INDIA ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY OPHTHALMOLOGY, 2018-2030 (USD MILLION)
  • TABLE 187. INDIA ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY ORTHOPEDICS, 2018-2030 (USD MILLION)
  • TABLE 188. INDIA ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY END-USER INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 189. INDONESIA ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 190. INDONESIA ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY COMPUTER VISION, 2018-2030 (USD MILLION)
  • TABLE 191. INDONESIA ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY MACHINE LEARNING ALGORITHMS, 2018-2030 (USD MILLION)
  • TABLE 192. INDONESIA ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY NATURAL LANGUAGE PROCESSING, 2018-2030 (USD MILLION)
  • TABLE 193. INDONESIA ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY FUNCTIONALITY, 2018-2030 (USD MILLION)
  • TABLE 194. INDONESIA ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY STAGE OF DEVELOPMENT, 2018-2030 (USD MILLION)
  • TABLE 195. INDONESIA ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 196. INDONESIA ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY CARDIOVASCULAR DISEASES, 2018-2030 (USD MILLION)
  • TABLE 197. INDONESIA ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY NEUROLOGY, 2018-2030 (USD MILLION)
  • TABLE 198. INDONESIA ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY ONCOLOGY, 2018-2030 (USD MILLION)
  • TABLE 199. INDONESIA ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY OPHTHALMOLOGY, 2018-2030 (USD MILLION)
  • TABLE 200. INDONESIA ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY ORTHOPEDICS, 2018-2030 (USD MILLION)
  • TABLE 201. INDONESIA ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY END-USER INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 202. JAPAN ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 203. JAPAN ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY COMPUTER VISION, 2018-2030 (USD MILLION)
  • TABLE 204. JAPAN ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY MACHINE LEARNING ALGORITHMS, 2018-2030 (USD MILLION)
  • TABLE 205. JAPAN ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY NATURAL LANGUAGE PROCESSING, 2018-2030 (USD MILLION)
  • TABLE 206. JAPAN ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY FUNCTIONALITY, 2018-2030 (USD MILLION)
  • TABLE 207. JAPAN ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY STAGE OF DEVELOPMENT, 2018-2030 (USD MILLION)
  • TABLE 208. JAPAN ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 209. JAPAN ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY CARDIOVASCULAR DISEASES, 2018-2030 (USD MILLION)
  • TABLE 210. JAPAN ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY NEUROLOGY, 2018-2030 (USD MILLION)
  • TABLE 211. JAPAN ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY ONCOLOGY, 2018-2030 (USD MILLION)
  • TABLE 212. JAPAN ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY OPHTHALMOLOGY, 2018-2030 (USD MILLION)
  • TABLE 213. JAPAN ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY ORTHOPEDICS, 2018-2030 (USD MILLION)
  • TABLE 214. JAPAN ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY END-USER INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 215. MALAYSIA ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 216. MALAYSIA ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY COMPUTER VISION, 2018-2030 (USD MILLION)
  • TABLE 217. MALAYSIA ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY MACHINE LEARNING ALGORITHMS, 2018-2030 (USD MILLION)
  • TABLE 218. MALAYSIA ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY NATURAL LANGUAGE PROCESSING, 2018-2030 (USD MILLION)
  • TABLE 219. MALAYSIA ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY FUNCTIONALITY, 2018-2030 (USD MILLION)
  • TABLE 220. MALAYSIA ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY STAGE OF DEVELOPMENT, 2018-2030 (USD MILLION)
  • TABLE 221. MALAYSIA ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 222. MALAYSIA ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY CARDIOVASCULAR DISEASES, 2018-2030 (USD MILLION)
  • TABLE 223. MALAYSIA ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY NEUROLOGY, 2018-2030 (USD MILLION)
  • TABLE 224. MALAYSIA ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY ONCOLOGY, 2018-2030 (USD MILLION)
  • TABLE 225. MALAYSIA ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY OPHTHALMOLOGY, 2018-2030 (USD MILLION)
  • TABLE 226. MALAYSIA ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY ORTHOPEDICS, 2018-2030 (USD MILLION)
  • TABLE 227. MALAYSIA ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY END-USER INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 228. PHILIPPINES ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 229. PHILIPPINES ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY COMPUTER VISION, 2018-2030 (USD MILLION)
  • TABLE 230. PHILIPPINES ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY MACHINE LEARNING ALGORITHMS, 2018-2030 (USD MILLION)
  • TABLE 231. PHILIPPINES ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY NATURAL LANGUAGE PROCESSING, 2018-2030 (USD MILLION)
  • TABLE 232. PHILIPPINES ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY FUNCTIONALITY, 2018-2030 (USD MILLION)
  • TABLE 233. PHILIPPINES ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY STAGE OF DEVELOPMENT, 2018-2030 (USD MILLION)
  • TABLE 234. PHILIPPINES ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 235. PHILIPPINES ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY CARDIOVASCULAR DISEASES, 2018-2030 (USD MILLION)
  • TABLE 236. PHILIPPINES ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY NEUROLOGY, 2018-2030 (USD MILLION)
  • TABLE 237. PHILIPPINES ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY ONCOLOGY, 2018-2030 (USD MILLION)
  • TABLE 238. PHILIPPINES ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY OPHTHALMOLOGY, 2018-2030 (USD MILLION)
  • TABLE 239. PHILIPPINES ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY ORTHOPEDICS, 2018-2030 (USD MILLION)
  • TABLE 240. PHILIPPINES ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY END-USER INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 241. SINGAPORE ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 242. SINGAPORE ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY COMPUTER VISION, 2018-2030 (USD MILLION)
  • TABLE 243. SINGAPORE ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY MACHINE LEARNING ALGORITHMS, 2018-2030 (USD MILLION)
  • TABLE 244. SINGAPORE ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY NATURAL LANGUAGE PROCESSING, 2018-2030 (USD MILLION)
  • TABLE 245. SINGAPORE ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY FUNCTIONALITY, 2018-2030 (USD MILLION)
  • TABLE 246. SINGAPORE ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY STAGE OF DEVELOPMENT, 2018-2030 (USD MILLION)
  • TABLE 247. SINGAPORE ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 248. SINGAPORE ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY CARDIOVASCULAR DISEASES, 2018-2030 (USD MILLION)
  • TABLE 249. SINGAPORE ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY NEUROLOGY, 2018-2030 (USD MILLION)
  • TABLE 250. SINGAPORE ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY ONCOLOGY, 2018-2030 (USD MILLION)
  • TABLE 251. SINGAPORE ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY OPHTHALMOLOGY, 2018-2030 (USD MILLION)
  • TABLE 252. SINGAPORE ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY ORTHOPEDICS, 2018-2030 (USD MILLION)
  • TABLE 253. SINGAPORE ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY END-USER INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 254. SOUTH KOREA ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 255. SOUTH KOREA ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY COMPUTER VISION, 2018-2030 (USD MILLION)
  • TABLE 256. SOUTH KOREA ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY MACHINE LEARNING ALGORITHMS, 2018-2030 (USD MILLION)
  • TABLE 257. SOUTH KOREA ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MARKET SIZE, BY NATURAL LANGUAGE PROCESSING, 2018-2030 (USD MILLION)
  • TABLE 258. SOUTH KOREA ARTIFICIAL INTELLIGENCE IN REGENERATIVE MEDICINE MA