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市场调查报告书
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生物技术市场中的人工智慧按组件、技术、组织规模、应用领域、最终用户和部署模式划分 - 全球预测 2025-2030

Artificial Intelligence in Biotechnology Market by Component, Technology, Organization Size, Application Area, End-User, Deployment Mode - Global Forecast 2025-2030
出版日期: | 出版商: 360iResearch | 英文 181 Pages | 商品交期: 最快1-2个工作天内

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2024年生物技术人工智慧市场价值为31.8亿美元，预计2025年将成长至36.5亿美元，复合年增长率为16.17%，到2030年将达到78.2亿美元。

主要市场统计数据
基准年 2024 年 31.8亿美元
预计 2025 年 36.5亿美元
预测年份 2030 78.2亿美元
复合年增长率（%） 16.17％

人工智慧（AI）正迅速成为生物技术领域变革的驱动力。近年来，人工智慧工具已从实验技术发展成为创新的重要驱动力，使研究人员和公司能够以前所未有的精度探索复杂的生物过程。这种技术与生物学的融合不仅加速了药物发现、提高了诊断的准确性，而且还简化了研究方法并提高了业务效率。

生物技术领域的人工智慧革命将以复杂演算法与来自基因组学、蛋白质组学和临床记录的大量资料集的无缝集成为特征。组织现在正在利用先进的机器学习模型和深度学习技术来预测结果、优化流程并减少传统上由人工调查造成的障碍。随着产业的发展，决策者必须应对快速技术进步所带来的令人兴奋的可能性和固有的挑战。本报告深入研究了当前的情况，并强调了人工智慧在重新定义生物技术领域的研发和商业化方面将发挥的关键作用。

随着对新解决方案的持续投资和对人工智慧技术的积极采用，该领域将标誌着临床和操作模式的根本转变。当我们进入这个新的创新时代时，越来越明显的是，人工智慧和生物技术的有效结合不再是一种选择，而是确保持续成长和竞争优势的关键必要事项。

转型转变：利用人工智慧重新定义生物技术

近年来，由于人工智慧的进步，生物技术领域发生了巨大的变化。公司和研究机构正在摆脱传统方法，采用数位工具来大规模管理和解释生物资料。人工智慧的作用范围包括加速药物发现过程、增强临床决策、缩短週转时间并改善患者治疗效果。

这种转变很大程度上归功于演算法方法的突破，神经网路、电脑视觉、深度学习和机器人流程自动化等技术创新重新定义了生物科技公司的分析能力。人工智慧引入研发将透过将大量遗传、分子和临床资料转化为可操作的见解，创造资料智慧的新维度。技术的进步不仅简化了流程，还从根本上重新绘製了生物技术业务的蓝图，从早期研究到售后服务交付。

此外，应对医疗保健领域复杂挑战的敏捷性需求也加速了人工智慧的采用。公司现在正在整合支援预测分析、自动诊断和个人化医疗策略的多面向平台。人工智慧的每一次进步都代表着一个巨大的飞跃，为曾经被认为仅仅是推测的新应用和新范式铺平了道路。这种转变正在重新定义竞争的界限，并为突破性进步奠定基础，这些进步有可能改变患者照护、研究的准确性以及整个行业的效率。

洞察关键细分市场了解市场动态与机会

生物技术领域的人工智慧市场被解剖为一个多维细分框架，反映了广泛的技术和业务方面。基于组件的分析表明，市场已在两个主要领域进行了研究：服务和解决方案。服务包括咨询、实施、售后和维护服务、培训和教育等专业能力，而解决方案部分的分析则着重于推动创新应用的平台和软体。

从技术角度仔细观察市场，可以发现电脑视觉、深度学习、机器学习、自然语言处理、神经网路和机器人流程自动化等领域表现强劲。这种技术多样性与基于组织规模的细分相得益彰，区分了大公司的动态环境和中小企业的敏捷营运。这种细分也延伸到生物技术受益于人工智慧主导的农业生物技术、临床试验、诊断、基因组学、个人化医疗、精准医疗和研究与开发等应用领域。

透过研究最终用户细分（例如农业组织、生物技术公司、医疗保健提供者、製药公司、开拓创新的研究和学术机构），可以揭示进一步的见解。此外，部署细分强调了云端、混合和内部部署解决方案的策略重要性。这个全面而细緻的细分框架不仅可以揭示市场趋势的根本驱动因素，而且还有助于确定未来投资和合作的领域。

目录

第 1 章 简介

第二章调查方法

第三章执行摘要

第四章 市场概况

第五章 市场洞察

  • 市场动态
    • 驱动程式
      • 越来越多地采用人工智慧驱动平台来高效优化生物技术工作流程
      • 基因组资料的快速产生需要人工智慧进行高效的资料管理和分析。
      • 个人化医疗需求的不断增长推动了人工智慧在生物技术实验室中的应用
    • 限制因素
      • 对在生物技术基础设施内实施人工智慧系统的成本和复杂性的担忧
    • 机会
      • 将人工智慧引入临床试验管理，提高病患招募和试验效率
      • 利用人工智慧技术有效辨识和分类影响健康的基因变异
    • 任务
      • 确保资料隐私并安全处理大量敏感的生物分子资料
  • 市场区隔分析
    • 组成部分：对改进资料分析的软体解决方案的偏好日益增长
    • 最终用户：农业机构越来越多地采用人工智慧进行生物技术
  • 波特五力分析
  • PESTEL 分析
    • 政治
    • 经济
    • 社会
    • 科技
    • 法律
    • 环境

6. 生物技术市场中的人工智慧（按组成部分）

  • 服务
    • 咨询
    • 执行
    • 售后及维护服务
    • 培训和教育服务
  • 解决方案
    • 平台
    • 软体

第七章 生技市场中的人工智慧（按技术）

  • 电脑视觉
  • 深度学习
  • 机器学习
  • 自然语言处理
  • 神经网路
  • 机器人流程自动化

第 8 章。

  • 大型企业
  • 中小型企业

第九章 生物技术市场中的人工智慧依应用领域划分

  • 农业生物技术
  • 临床试验
  • 诊断
  • 基因组分析
  • 个人化医疗
  • 精准医疗
  • 研究与开发

第 10 章。

  • 农业研究所
  • 生技公司
  • 医疗保健提供者
  • 製药公司
  • 研究和学术机构

第 11 章。

  • 云
  • 杂交种
  • 本地

12. 美洲生物技术人工智慧市场

  • 阿根廷
  • 巴西
  • 加拿大
  • 墨西哥
  • 美国

13. 亚太地区生物技术人工智慧市场

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

14. 欧洲、中东和非洲生物技术人工智慧市场

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

第十五章 竞争格局

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

公司列表

  • Atomwise, Inc.
  • BenevolentAI, Ltd.
  • BERG Health, LLC
  • Cytel, Inc.
  • CytoReason, Ltd.
  • Deep Genomics, Inc.
  • Envisagenics, Inc.
  • Exscientia, plc
  • Genialis, Inc.
  • GNS Healthcare, Inc.
  • Insitro, Inc.
  • NuMedii, Inc.
  • Owkin, Inc.
  • PathAI, Inc.
  • Recursion Pharmaceuticals, Inc.
  • Tempus Labs, Inc.
  • TwoXAR Pharmaceuticals, Inc.
  • Valo Health, LLC
  • Verge Genomics, Inc.
  • Zymergen, Inc.
Product Code: MRR-094390F3E17B

The Artificial Intelligence in Biotechnology Market was valued at USD 3.18 billion in 2024 and is projected to grow to USD 3.65 billion in 2025, with a CAGR of 16.17%, reaching USD 7.82 billion by 2030.

KEY MARKET STATISTICS
Base Year [2024] USD 3.18 billion
Estimated Year [2025] USD 3.65 billion
Forecast Year [2030] USD 7.82 billion
CAGR (%) 16.17%

Artificial Intelligence (AI) is rapidly emerging as a cornerstone of transformative change in the biotechnology sector. In recent years, AI-powered tools have evolved from experimental technologies into essential drivers of innovation, enabling researchers and companies alike to explore complex biological processes with unprecedented precision. This fusion of technology and biology is not only accelerating drug discovery and improving diagnostic accuracy, but it is also streamlining research methodologies and enhancing operational efficiencies.

The AI revolution in biotechnology is marked by the seamless integration of complex algorithms with massive datasets derived from genomics, proteomics, and clinical records. Organizations now leverage advanced machine learning models and deep learning techniques to predict outcomes, optimize processes, and reduce the traditional barriers imposed by manual research. As the industry evolves, decision-makers must contend with both the exciting potential and the inherent challenges posed by rapid technological advancements. This report offers a detailed exploration of the current landscape, highlighting the pivotal role that AI plays in redefining research, development, and commercialization within the biotech realm.

Through continuous investment in new solutions and the proactive application of AI technologies, the sector is poised to witness radical shifts in both clinical and operational paradigms. As we navigate this new era of innovation, it becomes increasingly clear that the effective integration of AI and biotechnology is no longer optional but rather a critical imperative for sustained growth and competitive advantage.

Transformative Shifts: Redefining Biotechnology with AI

Over the past few years, the biotechnology landscape has undergone dramatic and transformative shifts driven by AI advancements. Companies and research institutions are seeing a significant departure from traditional methodologies, embracing digital tools that manage and interpret large-scale biological data. AI's role spans from accelerating drug discovery processes to enhancing clinical decision-making, enabling faster turnaround times and improved patient outcomes.

This transformation can be largely attributed to breakthroughs in algorithmic approaches, where innovations in neural networks, computer vision, deep learning, and robotic process automation have redefined the analytical capabilities of biotech firms. The infusion of AI into research and development unleashes new dimensions of data intelligence, turning vast repositories of genetic, molecular, and clinical data into actionable insights. The evolution in technology is not just making processes more efficient-it is fundamentally redrawing the blueprint of biotechnology operations, from early-stage research through to post-sales service delivery.

Furthermore, the need for agility in addressing complex challenges in healthcare has accelerated the adoption of AI. Companies are now integrating multifaceted platforms that support predictive analytics, automated diagnostics, and personalized medicine strategies. Each advancement with AI represents a leap forward, paving the way for novel application areas and paradigms that were once considered speculative. This shift is redefining competitive boundaries and setting the stage for groundbreaking advancements that have the potential to transform patient care, research accuracy, and overall industry efficacy.

Key Segmentation Insights: Decoding Market Dynamics and Opportunities

The market for AI in biotechnology is dissected through a multidimensional segmentation framework that reflects the broad spectrum of technological and operational dimensions. An analysis based on component reveals that the market is studied across two primary divisions: services and solutions. In this context, the services include specialized functions such as consulting, implementation, post-sales and maintenance services, and training and education, while the solutions segment is analyzed further with an emphasis on platforms and software that drive innovative applications.

A closer look at the market through the lens of technology indicates a robust performance in areas including computer vision, deep learning, machine learning, natural language processing, neural networks, and robotic process automation. This technological diversity is complemented by segmentation based on organization size, which distinguishes between the dynamic environment of large enterprises and the agile operations of small and medium enterprises. Such segmentation further extends to application areas where biotechnology is benefiting from AI-driven improvements in agricultural biotechnology, clinical trials, diagnostics, genomics analysis, personalized medicine, precision medicine, and research and development.

Additional insights are uncovered by examining the end-user segmentation, which spans agricultural institutes, biotechnology firms, healthcare providers, pharmaceutical companies, as well as research and academic institutions that are pioneering innovation. Moreover, the deployment mode segmentation highlights the strategic importance of cloud, hybrid, and on-premises solutions. This comprehensive and nuanced segmentation framework not only elucidates underlying market trends but also helps identify areas ripe for future investment and collaboration.

Based on Component, market is studied across Services and Solutions. The Services is further studied across Consulting, Implementation, Post-Sales & Maintenance Services, and Training & Education Services. The Solutions is further studied across Platform and Software.

Based on Technology, market is studied across Computer Vision, Deep Learning, Machine Learning, Natural Language Processing, Neural Networks, and Robotic Process Automation.

Based on Organization Size, market is studied across Large Enterprises and Small & Medium Enterprises.

Based on Application Area, market is studied across Agriculture Biotechnology, Clinical Trials, Diagnostics, Genomics Analysis, Personalized Medicine, Precision Medicine, and Research & Development.

Based on End-User, market is studied across Agricultural Institutes, Biotechnology Firms, Healthcare Providers, Pharmaceutical Companies, and Research & Academic Institutions.

Based on Deployment Mode, market is studied across Cloud, Hybrid, and On-Premises.

Regional Dynamics: Spotlight on Americas, EMEA, and Asia-Pacific Markets

Regional trends play a pivotal role in shaping the landscape of AI in biotechnology. Across the Americas, innovation is driven by a mature ecosystem of research institutions and an active venture capital presence that collectively foster rapid technological adoption. Robust regulatory frameworks and intensive investments in health technology further bolster the integration of AI into biological research and healthcare applications.

The region encompassing Europe, the Middle East, and Africa (EMEA) is also witnessing significant momentum. Here, the collaborative focus on public-private partnerships and comprehensive policy initiatives supports a broad array of research and development activities, facilitating the deployment of AI solutions. Initiatives in these regions embrace a fusion of historical expertise and cutting-edge technology, thereby enabling a proactive response to both clinical and agricultural challenges.

In the Asia-Pacific region, the explosive growth of digital health innovations coupled with increased healthcare infrastructure investments is carving out a distinct competitive edge. This region is rapidly becoming a hub for technological advancements and research-driven collaborations, as governments and private players invest heavily in modernizing their biotechnology sectors. Collectively, these regional insights illustrate the varying degrees of maturity and potential across global markets, underscoring the importance of a tailored approach to capitalizing on regional strengths and addressing local challenges.

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.

Industry Leaders Shaping AI-Driven Biotechnology Innovation

A host of pioneering companies are at the forefront of leveraging AI to revolutionize biotechnology. Among these, notable innovators include Atomwise, Inc., which utilizes sophisticated algorithms for drug discovery, and BenevolentAI, Ltd., known for its groundbreaking approaches in harnessing big data. BERG Health, LLC has made significant strides in integrating AI with metabolic insights, while Cytel, Inc. and CytoReason, Ltd. are focusing on refining the analytics and modeling aspects of clinical trials.

Deep Genomics, Inc. and Envisagenics, Inc. are recognized for their contributions to genomics analysis and biomarker discovery, and Exscientia, plc is redefining drug design through precise algorithmic modeling. Genialis, Inc. and GNS Healthcare, Inc. continue to set the benchmark for computational tools that drive personalized healthcare solutions. Equally influential are Insitro, Inc. and NuMedii, Inc., whose innovative approaches are accelerating the roadmap toward precision medicine through the integration of AI in research.

Other key players such as Owkin, Inc., PathAI, Inc., and Recursion Pharmaceuticals, Inc. are expanding the capabilities of AI in diagnostics and treatment optimization. Tempus Labs, Inc. and TwoXAR Pharmaceuticals, Inc. stand out for their adept use of AI in clinical research, while Valo Health, LLC, Verge Genomics, Inc., and Zymergen, Inc. have successfully blended innovative technological platforms with traditional biotechnological processes. These companies not only exemplify leadership in their respective niches but also reflect the dynamic, competitive landscape that is increasingly driven by AI-centric innovations.

The report delves into recent significant developments in the Artificial Intelligence in Biotechnology Market, highlighting leading vendors and their innovative profiles. These include Atomwise, Inc., BenevolentAI, Ltd., BERG Health, LLC, Cytel, Inc., CytoReason, Ltd., Deep Genomics, Inc., Envisagenics, Inc., Exscientia, plc, Genialis, Inc., GNS Healthcare, Inc., Insitro, Inc., NuMedii, Inc., Owkin, Inc., PathAI, Inc., Recursion Pharmaceuticals, Inc., Tempus Labs, Inc., TwoXAR Pharmaceuticals, Inc., Valo Health, LLC, Verge Genomics, Inc., and Zymergen, Inc.. Strategic Action Plan: Recommendations for a Competitive Edge

For those seeking to secure a position at the forefront of biotechnology innovation, it is imperative to conceive a strategic action plan grounded in actionable insights and clear objectives. Industry leaders are encouraged to invest robustly in emerging AI technologies, prioritizing the enhancement of research and operational capacities. Strategic partnerships and collaborations with technology providers can further accelerate the adoption of sophisticated AI models, ensuring that organizations remain agile in a highly competitive market.

Further expansion should involve the integration of scalable digital platforms that can harness the full potential of data analytics. Embracing cloud, hybrid, or on-premises solutions depending on organizational needs ensures resilience and customized performance. Proactivity in adopting comprehensive training and education programs is crucial; these initiatives not only elevate internal capabilities but also facilitate smoother transitions during the digital transformation journey.

Organizations must also focus on developing a responsive and adaptive corporate culture that readily embraces change. This involves nurturing a cross-disciplinary workforce that can bridge traditional biotechnology expertise with advanced computational techniques. Monitoring and adapting to regulatory developments is equally vital, helping to mitigate potential compliance challenges while capitalizing on emerging market opportunities. Ultimately, a well-orchestrated strategy will enable firms to harness AI's transformative power, driving both innovation and sustainable competitive advantage.

Conclusion: Advancing Biotechnology Through AI Excellence

In summary, the fusion of artificial intelligence with biotechnology is catalyzing a paradigm shift that promises to redefine research methodologies, clinical practices, and overall operational frameworks in the industry. The insights derived from detailed segmentation and regional analysis underscore the multifaceted benefits of integrating sophisticated AI solutions across all layers of operation. The ever-expanding capabilities of technologies such as deep learning, neural networks, and robotic process automation continue to propel the industry forward, delivering robust improvements in efficacy, accuracy, and speed.

As the market evolves, the strategic alignment between technological innovation and biotechnological expertise becomes increasingly critical. Organizations now face a competitive landscape that rewards agility, foresight, and strategic investment in state-of-the-art AI-driven tools. By embracing these insights and integrating best practices, industry players can foster an environment ripe for innovation and sustainable advancement. The continuous evolution of AI technologies represents not just a trend, but a fundamental shift in the way biotechnology will operate in the years to come.

The strategic synthesis of technology and tradition offers organizations a unique opportunity to redefine their operations and achieve new heights in research and clinical excellence. This transformation, marked by a relentless pursuit of innovation, will undoubtedly carve the path to breakthroughs that have the potential to save lives and elevate global health standards.

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. Increased adoption of AI-driven platforms for efficient biotech workflow optimization
      • 5.1.1.2. Rapid genomics data generation necessitating AI for efficient data management and analysis
      • 5.1.1.3. Increasing demand for personalized medicine fueling AI integration in biotechnology labs
    • 5.1.2. Restraints
      • 5.1.2.1. Cost and complexity concerns in implementing AI systems within biotech infrastructures
    • 5.1.3. Opportunities
      • 5.1.3.1. Deploying AI in clinical trial management to improve patient recruitment and trial efficiency
      • 5.1.3.2. Introducing AI technologies for efficient identification and classification of genetic mutations impacting health
    • 5.1.4. Challenges
      • 5.1.4.1. Ensuring data privacy and handling significant amounts of sensitive biomolecular data securely
  • 5.2. Market Segmentation Analysis
    • 5.2.1. Component: Rising preference of software solutions for improved data analytics
    • 5.2.2. End-User: Increased adoption of artificial intelligence in biotechnology in agricultural institutes
  • 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 Biotechnology Market, by Component

  • 6.1. Introduction
  • 6.2. Services
    • 6.2.1. Consulting
    • 6.2.2. Implementation
    • 6.2.3. Post-Sales & Maintenance Services
    • 6.2.4. Training & Education Services
  • 6.3. Solutions
    • 6.3.1. Platform
    • 6.3.2. Software

7. Artificial Intelligence in Biotechnology Market, by Technology

  • 7.1. Introduction
  • 7.2. Computer Vision
  • 7.3. Deep Learning
  • 7.4. Machine Learning
  • 7.5. Natural Language Processing
  • 7.6. Neural Networks
  • 7.7. Robotic Process Automation

8. Artificial Intelligence in Biotechnology Market, by Organization Size

  • 8.1. Introduction
  • 8.2. Large Enterprises
  • 8.3. Small & Medium Enterprises

9. Artificial Intelligence in Biotechnology Market, by Application Area

  • 9.1. Introduction
  • 9.2. Agriculture Biotechnology
  • 9.3. Clinical Trials
  • 9.4. Diagnostics
  • 9.5. Genomics Analysis
  • 9.6. Personalized Medicine
  • 9.7. Precision Medicine
  • 9.8. Research & Development

10. Artificial Intelligence in Biotechnology Market, by End-User

  • 10.1. Introduction
  • 10.2. Agricultural Institutes
  • 10.3. Biotechnology Firms
  • 10.4. Healthcare Providers
  • 10.5. Pharmaceutical Companies
  • 10.6. Research & Academic Institutions

11. Artificial Intelligence in Biotechnology Market, by Deployment Mode

  • 11.1. Introduction
  • 11.2. Cloud
  • 11.3. Hybrid
  • 11.4. On-Premises

12. Americas Artificial Intelligence in Biotechnology Market

  • 12.1. Introduction
  • 12.2. Argentina
  • 12.3. Brazil
  • 12.4. Canada
  • 12.5. Mexico
  • 12.6. United States

13. Asia-Pacific Artificial Intelligence in Biotechnology Market

  • 13.1. Introduction
  • 13.2. Australia
  • 13.3. China
  • 13.4. India
  • 13.5. Indonesia
  • 13.6. Japan
  • 13.7. Malaysia
  • 13.8. Philippines
  • 13.9. Singapore
  • 13.10. South Korea
  • 13.11. Taiwan
  • 13.12. Thailand
  • 13.13. Vietnam

14. Europe, Middle East & Africa Artificial Intelligence in Biotechnology Market

  • 14.1. Introduction
  • 14.2. Denmark
  • 14.3. Egypt
  • 14.4. Finland
  • 14.5. France
  • 14.6. Germany
  • 14.7. Israel
  • 14.8. Italy
  • 14.9. Netherlands
  • 14.10. Nigeria
  • 14.11. Norway
  • 14.12. Poland
  • 14.13. Qatar
  • 14.14. Russia
  • 14.15. Saudi Arabia
  • 14.16. South Africa
  • 14.17. Spain
  • 14.18. Sweden
  • 14.19. Switzerland
  • 14.20. Turkey
  • 14.21. United Arab Emirates
  • 14.22. United Kingdom

15. Competitive Landscape

  • 15.1. Market Share Analysis, 2024
  • 15.2. FPNV Positioning Matrix, 2024
  • 15.3. Competitive Scenario Analysis
    • 15.3.1. Insilico Medicine and Sanofi's collaboration marked a significant achievement in AI-driven drug discovery
    • 15.3.2. Terray Therapeutics secures USD 120M for AI-driven biotech innovations and clinical trial advancements
    • 15.3.3. Iambic Therapeutics secures USD 150 million in Series B funding to advance AI-driven drug discovery innovations
  • 15.4. Strategy Analysis & Recommendation

Companies Mentioned

  • 1. Atomwise, Inc.
  • 2. BenevolentAI, Ltd.
  • 3. BERG Health, LLC
  • 4. Cytel, Inc.
  • 5. CytoReason, Ltd.
  • 6. Deep Genomics, Inc.
  • 7. Envisagenics, Inc.
  • 8. Exscientia, plc
  • 9. Genialis, Inc.
  • 10. GNS Healthcare, Inc.
  • 11. Insitro, Inc.
  • 12. NuMedii, Inc.
  • 13. Owkin, Inc.
  • 14. PathAI, Inc.
  • 15. Recursion Pharmaceuticals, Inc.
  • 16. Tempus Labs, Inc.
  • 17. TwoXAR Pharmaceuticals, Inc.
  • 18. Valo Health, LLC
  • 19. Verge Genomics, Inc.
  • 20. Zymergen, Inc.

LIST OF FIGURES

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

LIST OF TABLES

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