+353-1-416-8900REST OF WORLD
+44-20-3973-8888REST OF WORLD
1-917-300-0470EAST COAST U.S
1-800-526-8630U.S. (TOLL FREE)
Sale

Artificial Intelligence in Biotechnology Market by Component (Services, Solutions), Technology (Computer Vision, Deep Learning, Machine Learning), Organization Size, Application Area, End-User, Deployment Mode - Global Forecast 2025-2030

  • PDF Icon

    Report

  • 181 Pages
  • March 2025
  • Region: Global
  • 360iResearch™
  • ID: 6055666
UP TO OFF until Jan 01st 2026
1h Free Analyst Time
1h Free Analyst Time

Speak directly to the analyst to clarify any post sales queries you may have.

The Artificial Intelligence in Biotechnology Market grew from USD 3.18 billion in 2024 to USD 3.65 billion in 2025. It is expected to continue growing at a CAGR of 16.17%, reaching USD 7.82 billion by 2030.

Artificial Intelligence (AI) has swiftly become a cornerstone in the transformation of biotechnology, ushering in breakthroughs that are reshaping research processes, clinical applications, and product development paradigms. Over recent years, integrative technologies have not only improved efficiency but have also empowered stakeholders to tackle complex challenges in healthcare and life sciences. This report delves into the fusion of AI with biotechnology, exploring emerging trends, critical market segments, and innovative approaches that drive the field forward. The pervasive influence of machine intelligence in genomics, diagnostics, and experimental design is fueling a dynamic environment where traditional methods are continuously challenged by cutting-edge digital solutions. With a focus on actionable insights and strategic analysis, this comprehensive overview sets the stage for understanding how AI is redefining industry norms, catalyzing more responsive research frameworks, and ultimately, paving the way for personalized medicine and improved patient outcomes. Advances in computational methods, seamless integration of interdisciplinary techniques, and a growing ecosystem of specialized tech providers are converging to form a transformative landscape within biotechnology.

Transformative Shifts Redefining the Biotech Landscape

Recent technological developments have set off a series of transformative shifts that are redefining the biotechnology landscape. The integration of sophisticated AI models, robust data analytics, and cloud computing has fundamentally enhanced the speed, accuracy, and precision of research activities. In addition, emerging trends in automation and digitalization are breaking down long-standing barriers in clinical trials and drug discovery. Disruptive innovations in computational biology are now enabling researchers to simulate complex biological processes and predict outcomes without relying solely on empirical data. The use of deep learning and neural networks has accelerated the identification of molecular structures and biomarkers, leading to faster diagnostic outcomes and improved therapeutic strategies.

These shifts are not only technological but also strategic, as organizations realign their operational models to leverage digital transformation. The adoption of hybrid solution deployments and customizable platforms ensures that biotech firms can tailor services to meet the nuanced demands of evolving markets. In parallel, a more agile approach to research and development has been embraced, enabling rapid adoption of novel methodologies while also ensuring the robustness and regulatory compliance required in such a sensitive sector. The resulting ecosystem fosters collaboration, reduces redundancies, and encourages a culture of innovation that is critical for maintaining competitive edge in a rapidly progressing field.

Key Segmentation Insights in the AI Biotech Market

A deep dive into the market segmentation reveals a comprehensive study across multiple dimensions that are vital for understanding the diverse landscape of AI in biotechnology. The segmentation based on component divides the market into services and solutions, with services further analyzed through consulting, implementation, post-sales and maintenance services, as well as training and education services. Meanwhile, the solutions category emphasizes the development and application of specialized platforms and software that provide tailored capabilities to meet industry needs.

Delving into the technology aspect, the market evaluation spans a range of advances including computer vision, deep learning, machine learning, natural language processing, neural networks, and robotic process automation. This diversity showcases the broad spectrum of tools available to drive innovation in the field. When considering the organization size factor, the insights differentiate between large enterprises and small to medium enterprises, reflecting varied capacity for investment and implementation of technology.

The application area segmentation is equally diverse, covering key areas such as agriculture biotechnology, clinical trials, diagnostics, genomics analysis, personalized medicine, precision medicine, and research and development. This broad scope underscores not only the versatility of AI applications but also the specific challenges and opportunities inherent to each field. Furthermore, when examining end-user segmentation, the focus shifts to a spectrum of stakeholders including agricultural institutes, biotechnology firms, healthcare providers, pharmaceutical companies, and research and academic institutions. Lastly, the method of deployment is acknowledged through analyses of cloud, hybrid, and on-premises solutions, each presenting unique advantages and considerations for different operational needs.

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 Trends and Market Dynamics

The international landscape of AI in biotechnology is characterized by distinct regional trends that contribute to a diverse market narrative. In the Americas, rapid technological adoption and significant investments in research infrastructure have fostered an environment of innovation that supports both academic and commercial pursuits. Market growth in these regions is spurred by government initiatives and private sector commitment to advancing digital transformation in health sciences.

Across Europe, the Middle East, and Africa, regulatory frameworks are evolving to accommodate the rapid incorporation of AI technologies within biotechnological practices. This joint region has seen a blend of public funding and private enterprise collaborating to overcome challenges related to data privacy and integration of new technology in traditional healthcare systems. The emphasis here lies in building resilient ecosystems that facilitate sustainable growth while navigating nuanced socio-economic factors.

In the burgeoning markets of the Asia-Pacific region, a compelling mix of emerging technologies and vast pools of skilled professionals is driving accelerated adoption. These markets are characterized by increasing public-private partnerships, a continuous stream of innovation, and a strong focus on affordable healthcare solutions with a global impact. Overall, while each region presents unique attributes and challenges, the synergy between them creates a robust global market with diverse pathways for growth and transformation.

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

Key Insights on Leading Market Players

A closer inspection of the competitive landscape highlights the influence and innovation of several key companies operating at the intersection of AI and biotechnology. Many industry leaders, such as Atomwise, Inc., BenevolentAI, Ltd., and BERG Health, LLC, are spearheading research initiatives that blend advanced computational resources with biological research to accelerate drug discovery and diagnostic processes. Firms like Cytel, Inc. and CytoReason, Ltd. are enhancing statistical models and analytics to provide deeper insights that aid in strategic decision-making.

Organizations including Deep Genomics, Inc., Envisagenics, Inc., and Exscientia, plc have established themselves through the creation of bespoke technologies that minimize developmental risk and reduce turnaround time for research outcomes. In this competitive environment, companies such as Genialis, Inc. and GNS Healthcare, Inc. are forging ahead with innovative analytics platforms and data-centric solutions that are essential for optimizing research pipelines. The roster of influential players also extends to Insitro, Inc., NuMedii, Inc., and Owkin, Inc., whose advanced integration of machine learning into biotechnology has paved the way for more precise and personalized therapeutic interventions. Additionally, firms like PathAI, Inc., Recursion Pharmaceuticals, Inc., and Tempus Labs, Inc. continue to set benchmarks by refining diagnostic processes and enhancing clinical trial efficiencies. Emerging innovators such as TwoXAR Pharmaceuticals, Inc., Valo Health, LLC, Verge Genomics, Inc., and Zymergen, Inc. underscore a dynamic market ecosystem that is continuously driven by a spirit of innovation and a commitment to solving complex healthcare challenges.

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..

Actionable Recommendations for Industry Leaders

Industry leaders should consider a multi-pronged strategy to harness the full potential of AI in biotechnology. First, investing in robust data management infrastructures can enhance the reliability and speed of data processing, a critical factor in making informed decisions. By integrating comprehensive analytics platforms and leveraging cloud or hybrid deployment modes, organizations can ensure seamless data flow and real-time insights.

Additionally, collaborations with technology innovators and academic institutions are crucial. Such partnerships not only facilitate the sharing of resources but also foster an environment of continuous learning and improvement. Leaders should focus on strategic alliances that can accelerate the pace of innovation and open new avenues for research funding and product development.

It is also recommended that firms prioritize scaling training and education initiatives. By equipping teams with advanced skills in machine learning, natural language processing, and other AI technologies, companies can build a competitive workforce ready to tackle evolving industry challenges. Strategic investments in post-sales support and consultancy services further enhance the long-term value derived from digital integrations.

Finally, keeping pace with regulatory developments and ensuring compliance is critical to sustaining market trust and operational excellence. Proactive engagement with policymakers, along with an emphasis on ethical AI practices, will help safeguard against unforeseen disruptions while promoting a culture of transparency and innovation.

The integration of artificial intelligence into the biotechnology sector is a transformative journey that is not only redefining research and development practices but also setting a new standard for efficiency, accuracy, and personalized care. As demonstrated throughout the report, technological innovations such as deep learning, neural networks, and advanced analytics are pivotal in driving significant improvements in clinical and research outcomes. By adopting a broad-based segmentation strategy and leveraging insights from diverse regional markets, stakeholders can better navigate the challenges and opportunities arising in this dynamic ecosystem.

Cumulative insights across component, technology, organizational size, application areas, end-user segments, and deployment modes provide a holistic view of the market. These findings underscore that the future of biotechnology is intricately tied to the continuous evolution and integration of digital solutions. Strategic collaboration between industry visionaries and technology providers is imperative for sustaining growth and ensuring that the benefits of AI are fully realized. As the market matures, the interplay between regulation, innovation, and investment will play an increasingly critical role in shaping the future trajectory of this sector.

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
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)

Companies Mentioned

  • 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.

Methodology

Loading
LOADING...

Table Information