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市場調查報告書
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1677243

生物技術市場中的人工智慧按組件、技術、組織規模、應用領域、最終用戶和部署模式分類 - 全球預測 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個工作天內

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2024年生物技術人工智慧市場價值為31.8億美元，預計2025年將成長至36.5億美元，複合年成長率為16.17%，到2030年將達到78.2億美元。

主要市場統計數據
基準年 2024 年 31.8億美元
預計 2025 年 36.5億美元
預測年份 2030 78.2億美元
複合年成長率（%） 16.17％

人工智慧（AI）正迅速成為生物技術領域變革的驅動力。近年來，人工智慧工具已從實驗技術發展成為創新的重要驅動力，使研究人員和公司能夠以前所未有的精度探索複雜的生物過程。這種技術與生物學的融合不僅加速了藥物發現、提高了診斷的準確性，而且還簡化了研究方法並提高了業務效率。

生物技術領域的人工智慧革命將以複雜演算法與來自基因組學、蛋白質組學和臨床記錄的大量資料集的無縫整合為特徵。組織現在正在利用先進的機器學習模型和深度學習技術來預測結果、最佳化流程並減少傳統上由人工調查造成的障礙。隨著產業的發展，決策者必須應對快速技術進步所帶來的令人興奮的可能性和固有的挑戰。本報告深入研究了當前的情況，並強調了人工智慧在重新定義生物技術領域的研發和商業化方面將發揮的關鍵作用。

隨著對新解決方案的持續投資和對人工智慧技術的積極採用，該領域將標誌著臨床和操作模式的根本轉變。當我們進入這個新的創新時代時，越來越明顯的是，人工智慧和生物技術的有效結合不再是一種選擇，而是確保持續成長和競爭優勢的關鍵必要事項。

轉型轉變：利用人工智慧重新定義生物技術

近年來，由於人工智慧的進步，生物技術領域發生了巨大的變化。公司和研究機構正在擺脫傳統方法，採用數位工具來大規模管理和解釋生物資料。人工智慧的作用範圍包括加速藥物發現過程、增強臨床決策、縮短週轉時間並改善患者治療效果。

這種轉變很大程度上歸功於演算法方法的突破，神經網路、電腦視覺、深度學習和機器人流程自動化等技術創新重新定義了生物科技公司的分析能力。人工智慧引入研發將透過將大量遺傳、分子和臨床資料轉化為可操作的見解，創造資料智慧的新維度。技術的進步不僅簡化了流程，還從根本上重新繪製了生物技術業務的藍圖，從早期研究到售後服務交付。

此外，應對醫療保健領域複雜挑戰的敏捷性需求也加速了人工智慧的採用。公司現在正在整合支援預測分析、自動診斷和個人化醫療策略的多面向平台。人工智慧的每一次進步都代表著一個巨大的飛躍，為曾經被認為僅僅是推測的新應用和新範式鋪平了道路。這種轉變正在重新定義競爭的界限，並為突破性進步奠定基礎，這些進步有可能改變患者照護、研究的準確性以及整個行業的效率。

洞察關鍵細分市場了解市場動態與機會

生物技術領域的人工智慧市場被解剖為一個多維細分框架，反映了廣泛的技術和業務方面。基於組件的分析表明，市場已在兩個主要領域進行了研究：服務和解決方案。服務包括諮詢、實施、售後和維護服務、培訓和教育等專業能力，而解決方案部分的分析則著重於推動創新應用的平台和軟體。

從技術角度仔細觀察市場，可以發現電腦視覺、深度學習、機器學習、自然語言處理、神經網路和機器人流程自動化等領域表現強勁。這種技術多樣性與基於組織規模的細分相得益彰，區分了大公司的動態環境和中小企業的敏捷營運。這種細分也延伸到生物技術受益於人工智慧主導的農業生物技術、臨床試驗、診斷、基因組學、個人化醫療、精準醫療和研究與開發等應用領域。

透過研究最終用戶細分（例如農業組織、生物技術公司、醫療保健提供者、製藥公司、開拓創新的研究和學術機構），可以揭示進一步的見解。此外，部署細分強調了雲端、混合和內部部署解決方案的策略重要性。這個全面而細緻的細分框架不僅可以揭示市場趨勢的根本促進因素，而且還有助於確定未來投資和合作的領域。

目錄

第 1 章 簡介

第2章調查方法

第3章執行摘要

第4章 市場概況

第5章 市場洞察

  • 市場動態
    • 驅動程式
      • 擴大採用人工智慧驅動平台來高效最佳化生物技術工作流程
      • 基因組資料的快速產生需要人工智慧進行高效的資料管理和分析。
      • 個人化醫療需求的不斷成長推動了人工智慧在生物技術實驗室中的應用
    • 限制因素
      • 對在生物技術基礎設施內實施人工智慧系統的成本和複雜性的擔憂
    • 機會
      • 將人工智慧引入臨床試驗管理，提高病患招募和試驗效率
      • 利用人工智慧技術有效辨識和分類影響健康的基因變異
    • 任務
      • 確保資料隱私並安全處理大量敏感的生物分子資料
  • 市場區隔分析
    • 組成部分：對改進資料分析的軟體解決方案的偏好日益成長
    • 最終用戶：農業機構擴大採用人工智慧進行生物技術
  • 波特五力分析
  • PESTEL 分析
    • 政治
    • 經濟
    • 社會
    • 科技
    • 法律
    • 環境

6. 生物技術市場中的人工智慧（按組成部分）

  • 服務
    • 諮詢
    • 執行
    • 售後及維護服務
    • 培訓和教育服務
  • 解決方案
    • 平台
    • 軟體

第7章 生技市場中的人工智慧（按技術）

  • 電腦視覺
  • 深度學習
  • 機器學習
  • 自然語言處理
  • 神經網路
  • 機器人流程自動化

第 8 章。

  • 大型企業
  • 中小型企業

第9章 生物技術市場中的人工智慧依應用領域分類

  • 農業生物技術
  • 臨床試驗
  • 診斷
  • 基因組分析
  • 個人化醫療
  • 精準醫療
  • 研究與開發

第 10 章。

  • 農業研究所
  • 生技公司
  • 醫療保健提供者
  • 製藥公司
  • 研究和學術機構

第 11 章。

  • 雲
  • 混合
  • 本地

12. 美洲生物技術人工智慧市場

  • 阿根廷
  • 巴西
  • 加拿大
  • 墨西哥
  • 美國

13. 亞太地區生物技術人工智慧市場

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

14. 歐洲、中東和非洲生物技術人工智慧市場

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

第15章 競爭格局

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

公司列表

  • 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)