
Global Generative AI in Biotech Market by Technology (Generative Adversarial Networks (GANs), Variational Auto Encoders (VAEs), and Other), By Application (Drug discovery, Protein Engineering, and Other), By End-Users (Pharmaceutical Company, Biotechnology Startups, and Other ), By Region and Companies - Industry Segment Outlook, Market Assessment, Competition Scenario, Trends, and Forecast 2023-2032
38026
June 2023
178
Report Overview
Global Generative AI in Biotech Market size is expected to be worth around USD 472 million by 2032 from USD 54 million in 2022, growing at a CAGR of 24.9%. during the forecast period from 2023 to 2032.
Generative AI in the biotech market refers to the application of generative artificial intelligence techniques and models within biotechnology. Generative AI involves training models to generate original data based on patterns found within existing datasets, specifically applied here as drug discovery, protein engineering, diagnostics, and personalized medicine solutions. Generative AI models such as GANs and VAEs can be trained using large datasets of biological information such as genomic sequences, protein structures, molecular interactions, and molecular interactions to learn patterns within them and recreate sequences or structures similar to those found within training data.
Once trained, these generative AI models can generate sequences or structures similar to their training data by taking advantage of neural nets. Artificial Intelligence (AI) and biotechnology have produced some revolutionary advancements and innovations over recent years, particularly with regard to Generative AI applications in biotech Market. Generative AI refers to a subset of machine learning techniques used for creating original data based on patterns or examples found within existing datasets - this field could revolutionize many areas of research, drug discovery, diagnostics, and personalized medicine.
Driving Factors
Here are some Driving factors of generative AI in Biotech market
Generative AI algorithms offer the capacity to rapidly generate and optimize novel molecules with desired characteristics, making drug discovery faster and more cost-effective. By employing these algorithms, biotech companies can explore a broad chemical space, identify promising drug candidates more quickly, and decrease the time and cost associated with traditional screening methods. Generative AI allows for the design of personalized therapies by taking individual genetic variations and disease profiles into account.
These algorithms can analyze patient data, identify relevant biomarkers, and generate customized treatment options. Generative AI could transform healthcare by improving patient outcomes and revolutionizing medical practice. While biological data is frequently incomplete, noisy, or scarce, Generative AI can overcome such constraints by learning patterns from available data and creating synthetic training sets using synthetic data production.
Expanding the data landscape enables more accurate modeling and predictions in biotech applications, creating an enriched data set to enhance bioprocess optimization such as fermentation, cell culture, and protein engineering. Generative AI algorithms can optimize bioprocesses such as fermentation, cell culture, and protein engineering by analyzing large volumes of experimental data collected on process outcomes, learning from them to suggest process improvements that reduce costs and boost the efficiency of biotech manufacturing processes.
Restraining Factors
Here are some restraining factors of generative AI in Biotech market.
Generative AI holds great promise to transform biotech research by speeding up drug discovery, protein engineering, and genetic research. However, several roadblocks currently prevent its widespread implementation within biotech. Generative AI models require access to large and high-quality datasets in order to learn and produce meaningful outputs. Acquiring such datasets in biotech can be difficult due to limited access to diverse biological information. Additionally, data may contain noise, biases or incomplete information that could undermine generative AI models' performance and reliability.
Furthermore, biotech is highly regulated; thus, introducing such systems raises ethical considerations and regulatory challenges that need to be considered when adopting these new systems. Concerns have been expressed over the transparency and interpretability of AI-generated results, their potential to cause bias or discrimination, as well of using AI in crucial decision-making processes like drug development and patient care.
Generative AI models tend to operate like black boxes, producing outputs without clearly explaining their decision-making process and results. Biotech researchers often find it hard to trust and interpret AI-powered solutions without an explanation, as this lack of transparency makes understanding their outcomes challenging. Interpretability and explainability are vital aspects of biotech research, as regulatory requirements ensure the safety and efficacy of these solutions.
COVID-19 Impact Analysis
The COVID-19 pandemic has profoundly affected biotech and AI markets, particularly within generative AI. Given the urgent need for treatments, vaccines, and solutions against the COVID-19 virus, generative AI has emerged as an indispensable asset in drug discovery and development processes. Generative AI has helped accelerate COVID-19 pharmaceutical developments by quickly creating potential drug candidates and designing therapeutic antibodies.
Further, AI has played an indispensable role in vaccine design and optimization, aiding with antigenic region identification and providing stable vaccine candidates. Generative AI has proven invaluable in the search for effective treatments, helping virtual screening and drug repurposing teams rapidly identify existing medications with potential efficacy against COVID-19. Additionally, the pandemic has promoted greater collaboration and data sharing within the biotech community, with generative AI models aiding in analyzing various datasets.
However, challenges still exist in validating and regulatory compliance of AI-generated solutions; nonetheless, the COVID-19 pandemic has significantly accelerated the adoption and implementation of generative AI technology into biotech markets, showing its potential to revolutionize healthcare and address urgent healthcare needs.
By Technology Analysis
By the technology, the Natural Language Processing segment dominates the market with a 39% market share.
Based on technology, the market is divided into generative adversarial networks, variational autoencoders, reinforcement learning, natural language processing, and other technologies. Among these technologies, the natural language processing segment dominates the market due to NLP-powered platforms excel at analyzing and comprehending large volumes of unstructured data like scientific literature & clinical trial information, and while increasing the use of electronic health records create additional unstructured sources that can be processed using NLP platforms.
Finally, personalized medicine demands analysis of large patient datasets to identify those most likely to respond well to particular treatments - an area in which NLP could certainly make its mark.
The Deep Learning segment is the fastest-growing segment in Generative AI in Biotech market.
Deep Learning is an increasingly significant element in the generative AI in pharma market, and its growth should accelerate due to the increasing availability of advanced deep learning algorithms and the demand for more precise and efficient drug discovery & development technologies. Deep learning algorithms excel at processing various and high-dimensional data sets, such as images or molecular structures, which form essential elements of drug discovery & development processes.
By Application Analysis
By application, the Drug Discovery Segment dominates the market with a 37% market share.
Based on application, the market is divided into drug discovery, protein engineering, genomics, bioinformatics, and other applications. Among them, the drug discovery segment dominates the market due to AI plays an integral part in drug discovery platforms that facilitate drug development processes. AI-powered drug discovery platforms seek to identify and optimize promising drug candidates that could become potential treatments for a range of diseases; AI software helps design molecules with optimal designs, predict efficacy and safety profiles, and identify candidates for further study.
Protein engineering is the fastest-growing segment in Generative AI in the Biotech market.
Protein engineering is the fastest-growing segment due to Generative AI playing an integral part in protein engineering, enabling scientists to design and optimize proteins with desired functions and properties. By employing generative models, researchers can explore proteins' vast sequence and structural space for novel enzymes, antibodies, or therapeutic proteins - further expanding market demand for tailored protein solutions.
Generative AI may find applications beyond those mentioned, including synthetic biology, precision medicine, and biomedical imaging. Generative AI techniques could prove invaluable in designing synthetic biological systems or tailoring treatments to individual patients as well as improving medical image analysis techniques. Research and development efforts within these areas are likely to boost demand for this technology as research and development evolve.
By End-Users Analysis
Based on the end-user, the Pharmaceutical companies segment dominates the market with a 36% market share.
By end-user, the market is divided into pharmaceutical companies, biotechnology startups, academic institutes, research organizations, and other end-users. Among them, the pharmaceutical company segment dominates the market, due to Pharmaceutical companies possessing both the resources and expertise required for investing in research & development to facilitate drug discovery & development processes, making them ideal users of AI-powered drug discovery & development platforms.
Furthermore, pharmaceutical companies possess all of the skills needed to navigate through a difficult drug development process effectively, which is key for successfully developing and commercializing new medications.
The research organizations segment is the fastest-growing segment in Generative AI in Biotech market.
The research organizations segment is the fastest growing segment due to CROs specializing in drug development and offering an array of services related to clinical trial design & management, data management, regulatory support, and AI-powered platforms to speed the drug discovery & development process.
Key Market Segments
Based on Technology
- Generative Adversarial Networks (GANs)
- Variational Auto Encoders (VAEs)
- Reinforcement Learning
- Natural Language Processing (NLP)
- Other Technologies
Based on Application
- Drug discovery
- Protein engineering
- Genomics
- Bioinformatics
- Other Applications
Based on Organization Type
- Pharmaceutical companies
- Biotechnology startups
- Academic institutions
- Research organizations
- Other End-Users
Growth Opportunity
Here are some growth opportunities for Generative AI in biotech market.
Generative AI can play an invaluable role in drug discovery by rapidly creating and screening vast libraries of potential candidates' drugs. This technology enables researchers to explore a broader chemical space, find molecules with desired properties and optimize lead compounds - ultimately leading to more efficient and cost-effective drug development. Generative AI can assist with precision medicine by analyzing large-scale patient data such as genomic information, medical records, and clinical information.
By using AI models to analyze patient data, personalized treatment strategies, predict patient responses, and tailor therapies specifically to individual patients can be generated to increase treatment success rates and ensure positive patient outcomes. Generative AI is an efficient way of creating novel biomolecules such as peptides, antibodies, and enzymes. Researchers can use deep learning algorithms and generative models to generate and optimize biomolecules with specific properties - increased stability, target specificity, and reduced immunogenicity, for instance - such as target specificity.
AI-powered generative models offer new opportunities for creating novel therapeutics and bioengineered solutions. AI can also improve clinical trial design and efficiency. By analyzing historical clinical trial data and patient characteristics, these models can optimize trial protocols, identify patient populations and predict outcomes more accurately - helping reduce costs, shorten timelines, and boost biotech industry success rates of clinical trials.
Latest Trends
Here are some latest trends of generative AI in biotech market.
Generative AI holds great promise as an efficient method for drug discovery by producing molecules with desired characteristics more rapidly. Deep learning algorithms enable generative models to generate virtual compounds, which can then be optimized and tested in the laboratory - potentially cutting time and cost associated with traditional drug discovery methods. Generative AI techniques have been applied to protein engineering, the practice of designing and optimizing proteins for various applications.
By employing generative models, researchers can access an immense space of protein sequences and structures, creating novel enzymes, antibodies, and protein-based therapeutics. Generative AI also assists in designing synthetic biological systems. Researchers who utilize DNA sequences that encode for specific functions can optimize metabolic pathways, engineer organisms for specific uses, and increase the production of valuable compounds.
Generative artificial intelligence techniques such as GANs have been deployed to advance biomedical imaging. GANs generate synthetic images that closely resemble real patient data, providing opportunities for data augmentation, demising, and filling any missing gaps - which in turn aid in medical image interpretation and aid diagnosis.
Regional Analysis
North America Accounted for the Largest Revenue Share in Generative AI in Biotech market in 2022.
North America and, specifically, the US, has been at the forefront of biotech advancements and boast a prominent position within generative AI. Boston, San Francisco, and San Diego are among the world's premier biotech hubs and are home to numerous companies and research institutions experimenting with Generative AI as a method for drug discovery, protein engineering, and genomic research. Europe boasts an expansive ecosystem for biotech, including venture capital funding, academic collaborations, and supportive regulatory frameworks.
Europe has made great strides forward with applying generative AI applications in biotech. Countries such as the United Kingdom, Germany, and France have witnessed an explosion of startups and research groups using artificial intelligence techniques for drug discovery, precision medicine, bioinformatics, and bioinformatics applications. Academic institutions and government initiatives play a crucial role in supporting collaboration and innovation within this space.
Asia Pacific is the fastest-growing region in Generative AI in Biotech market.
Asia-Pacific region has experienced a dramatic expansion in biotech and generative AI development, particularly among countries like China, Japan, and South Korea which have all made substantial investments in biotech research and development. Generative AI is being applied in areas like drug discovery, synthetic biology, and precision medicine. Government support, strong research infrastructure, and an expanding population base all make this possible in our region.
Latin America, the Middle East, and Africa are also exploring generative AI in biotech market purposes on a more limited basis than previously described regions. There are efforts underway in several countries to strengthen biotech ecosystems by expanding research collaborations and attracting investment capital into biotech initiatives.
Note that the landscape of generative AI is constantly shifting; regional developments can develop rapidly. Furthermore, collaborations and knowledge sharing between regions are common within biotech communities globally, creating an interconnected and collaborative research environment.
Key Regions
- North America
- The US
- Canada
- Mexico
- Western Europe
- Germany
- France
- The UK
- Spain
- Italy
- Portugal
- Ireland
- Austria
- Switzerland
- Benelux
- Nordic
- Rest of Western Europe
- Eastern Europe
- Russia
- Poland
- The Czech Republic
- Greece
- Rest of Eastern Europe
- APAC
- China
- Japan
- South Korea
- India
- Australia & New Zealand
- Indonesia
- Malaysia
- Philippines
- Singapore
- Thailand
- Vietnam
- Rest of APAC
- Latin America
- Brazil
- Colombia
- Chile
- Argentina
- Costa Rica
- Rest of Latin America
- Middle East & Africa
- Algeria
- Egypt
- Israel
- Kuwait
- Nigeria
- Saudi Arabia
- South Africa
- Turkey
- United Arab Emirates
- Rest of MEA
Market Share & Key Players Analysis
Generative AI is an emerging technology with significant potential in the biotech industry. It is being increasingly applied to various areas such as drug discovery, protein engineering, precision medicine, and bioinformatics. While the market is still evolving, generative AI has shown promise in accelerating the drug discovery process, optimizing protein design, and enabling personalized medicine. The generative AI in Biotech market has drawn the interest of numerous companies and organizations. Despite the dynamism of the landscape, here are some major players in the Market:
Market Key Players
- Insilico Medicine
- Recursion Pharmaceuticals
- Atomwise
- Deep Genomics
- BenevolentAI
- Numerate
- Ginkgo Bioworks
- Zymergen
- OpenAI
- DeepMind
- Other Key Players
Recent Developments
- In April 2021:Stanford University and Novartis researchers collaborated on an experiment using generative artificial intelligence to discover an entirely new class of antibiotics. They published this work in the Nature Communications journal.
- In March 2021:Exscientia and Bayer announced a joint partnership to use Exscientia's artificial intelligence platform for drug discovery of cardiovascular and oncology diseases.
- In January 2021:BenevolentAI and AstraZeneca announced in January 2021 a partnership to use BenevolentAI's AI platform to identify potential drug targets for chronic kidney disease treatments as well as discover innovative treatments through drug discovery efforts.
Report Scope
Report Features Description Market Value (2022) USD 54 Mn Forecast Revenue (2032) USD 472 Mn CAGR (2023-2032) 24.9% Base Year for Estimation 2022 Historic Period 2016-2022 Forecast Period 2023-2032 Report Coverage Revenue Forecast, Market Dynamics, COVID-19 Impact, Competitive Landscape, Recent Developments Segments Covered by Technology (Generative Adversarial Networks (GANs), Variational Auto Encoders (VAEs), Reinforcement Learning, Natural Language Processing (NLP), Other Technologies); By Application (Drug discovery, Protein Engineering, Genomics, Bioinformatics, Other Applications);
By End-Users (Pharmaceutical Company, Biotechnology Start-up's, Academic Institutes, Research Organizations, Other End-Users);
Regional Analysis North America – The US, Canada, & Mexico; Western Europe – Germany, France, The UK, Spain, Italy, Portugal, Ireland, Austria, Switzerland, Benelux, Nordic, & Rest of Western Europe; Eastern Europe – Russia, Poland, The Czech Republic, Greece, & Rest of Eastern Europe; APAC – China, Japan, South Korea, India, Australia & New Zealand, Indonesia, Malaysia, Philippines, Singapore, Thailand, Vietnam, & Rest of APAC; Latin America – Brazil, Colombia, Chile, Argentina, Costa Rica, & Rest of Latin America; Middle East & Africa – Algeria, Egypt, Israel, Kuwait, Nigeria, Saudi Arabia, South Africa, Turkey, United Arab Emirates, & Rest of MEA Competitive Landscape Insilico Medicine, Recursion Pharmaceuticals, Atomwise, Deep Genomics, BenevolentAI, Numerate, Ginkgo Bioworks, Zymergen, OpenAI, DeepMind, Other Key Players Customization Scope Customization for segments, region/country-level will be provided. Moreover, additional customization can be done based on the requirements. Purchase Options We have three licenses to opt for: Single User License, Multi-User License (Up to 5 Users), Corporate Use License (Unlimited User and Printable PDF) - Insilico Medicine
- Recursion Pharmaceuticals
- Atomwise
- Deep Genomics
- BenevolentAI
- Numerate
- Ginkgo Bioworks
- Zymergen
- OpenAI
- DeepMind
- Other Key Players
- 1. Executive Summary
- 1.1. Definition
- 1.2. Taxonomy
- 1.3. Research Scope
- 1.4. Key Analysis
- 1.5. Key Findings by Major Segments
- 1.6. Top strategies by Major Players
- 2. Global Generative AI in Biotech Market Overview
- 2.1. Generative AI in Biotech Market Dynamics
- 2.1.1. Drivers
- 2.1.2. Opportunities
- 2.1.3. Restraints
- 2.1.4. Challenges
- 2.2. Macro-economic Factors
- 2.3. Regulatory Framework
- 2.4. Market Investment Feasibility Index
- 2.5. PEST Analysis
- 2.6. PORTER’S Five Force Analysis
- 2.7. Drivers & Restraints Impact Analysis
- 2.8. Industry Chain Analysis
- 2.9. Cost Structure Analysis
- 2.10. Marketing Strategy
- 2.11. Russia-Ukraine War Impact Analysis
- 2.12. Opportunity Map Analysis
- 2.13. Market Competition Scenario Analysis
- 2.14. Product Life Cycle Analysis
- 2.15. Opportunity Orbits
- 2.16. Manufacturer Intensity Map
- 2.17. Major Companies sales by Value & Volume
- 2.1. Generative AI in Biotech Market Dynamics
- 3. Global Generative AI in Biotech Market Analysis, Opportunity and Forecast, 2016-2032
- 3.1. Global Generative AI in Biotech Market Analysis, 2016-2021
- 3.2. Global Generative AI in Biotech Market Opportunity and Forecast, 2023-2032
- 3.3. Global Generative AI in Biotech Market Analysis, Opportunity and Forecast, By Based on Technology, 2016-2032
- 3.3.1. Global Generative AI in Biotech Market Analysis by Based on Technology: Introduction
- 3.3.2. Market Size Absolute $ Opportunity Analysis and Forecast, By Based on Technology, 2016-2032
- 3.3.3. Natural Language Processing (NLP)
- 3.3.4. Generative Adversarial Networks (GANs)
- 3.3.5. Variational Autoencoders (VAEs)
- 3.3.6. Reinforcement Learning
- 3.3.7. Other Technologies
- 3.4. Global Generative AI in Biotech Market Analysis, Opportunity and Forecast, By Based on Applications, 2016-2032
- 3.4.1. Global Generative AI in Biotech Market Analysis by Based on Applications: Introduction
- 3.4.2. Market Size Absolute $ Opportunity Analysis and Forecast, By Based on Applications, 2016-2032
- 3.4.3. Drug discovery
- 3.4.4. Protein engineering
- 3.4.5. Genomics
- 3.4.6. Bioinformatics
- 3.4.7. Other Applications
- 3.5. Global Generative AI in Biotech Market Analysis, Opportunity and Forecast, By Based on End-Users, 2016-2032
- 3.5.1. Global Generative AI in Biotech Market Analysis by Based on End-Users: Introduction
- 3.5.2. Market Size Absolute $ Opportunity Analysis and Forecast, By Based on End-Users, 2016-2032
- 3.5.3. Pharmaceutical companies
- 3.5.4. Biotechnology startups
- 3.5.5. Academic institutions
- 3.5.6. Research organizations
- 3.5.7. Other end-users
- 4. North America Generative AI in Biotech Market Analysis, Opportunity and Forecast, 2016-2032
- 4.1. North America Generative AI in Biotech Market Analysis, 2016-2021
- 4.2. North America Generative AI in Biotech Market Opportunity and Forecast, 2023-2032
- 4.3. North America Generative AI in Biotech Market Analysis, Opportunity and Forecast, By Based on Technology, 2016-2032
- 4.3.1. North America Generative AI in Biotech Market Analysis by Based on Technology: Introduction
- 4.3.2. Market Size Absolute $ Opportunity Analysis and Forecast, By Based on Technology, 2016-2032
- 4.3.3. Natural Language Processing (NLP)
- 4.3.4. Generative Adversarial Networks (GANs)
- 4.3.5. Variational Autoencoders (VAEs)
- 4.3.6. Reinforcement Learning
- 4.3.7. Other Technologies
- 4.4. North America Generative AI in Biotech Market Analysis, Opportunity and Forecast, By Based on Applications, 2016-2032
- 4.4.1. North America Generative AI in Biotech Market Analysis by Based on Applications: Introduction
- 4.4.2. Market Size Absolute $ Opportunity Analysis and Forecast, By Based on Applications, 2016-2032
- 4.4.3. Drug discovery
- 4.4.4. Protein engineering
- 4.4.5. Genomics
- 4.4.6. Bioinformatics
- 4.4.7. Other Applications
- 4.5. North America Generative AI in Biotech Market Analysis, Opportunity and Forecast, By Based on End-Users, 2016-2032
- 4.5.1. North America Generative AI in Biotech Market Analysis by Based on End-Users: Introduction
- 4.5.2. Market Size Absolute $ Opportunity Analysis and Forecast, By Based on End-Users, 2016-2032
- 4.5.3. Pharmaceutical companies
- 4.5.4. Biotechnology startups
- 4.5.5. Academic institutions
- 4.5.6. Research organizations
- 4.5.7. Other end-users
- 4.6. North America Generative AI in Biotech Market Analysis, Opportunity and Forecast, By Country , 2016-2032
- 4.6.1. North America Generative AI in Biotech Market Analysis by Country : Introduction
- 4.6.2. Market Size Absolute $ Opportunity Analysis and Forecast, Country , 2016-2032
- 4.6.2.1. The US
- 4.6.2.2. Canada
- 4.6.2.3. Mexico
- 5. Western Europe Generative AI in Biotech Market Analysis, Opportunity and Forecast, 2016-2032
- 5.1. Western Europe Generative AI in Biotech Market Analysis, 2016-2021
- 5.2. Western Europe Generative AI in Biotech Market Opportunity and Forecast, 2023-2032
- 5.3. Western Europe Generative AI in Biotech Market Analysis, Opportunity and Forecast, By Based on Technology, 2016-2032
- 5.3.1. Western Europe Generative AI in Biotech Market Analysis by Based on Technology: Introduction
- 5.3.2. Market Size Absolute $ Opportunity Analysis and Forecast, By Based on Technology, 2016-2032
- 5.3.3. Natural Language Processing (NLP)
- 5.3.4. Generative Adversarial Networks (GANs)
- 5.3.5. Variational Autoencoders (VAEs)
- 5.3.6. Reinforcement Learning
- 5.3.7. Other Technologies
- 5.4. Western Europe Generative AI in Biotech Market Analysis, Opportunity and Forecast, By Based on Applications, 2016-2032
- 5.4.1. Western Europe Generative AI in Biotech Market Analysis by Based on Applications: Introduction
- 5.4.2. Market Size Absolute $ Opportunity Analysis and Forecast, By Based on Applications, 2016-2032
- 5.4.3. Drug discovery
- 5.4.4. Protein engineering
- 5.4.5. Genomics
- 5.4.6. Bioinformatics
- 5.4.7. Other Applications
- 5.5. Western Europe Generative AI in Biotech Market Analysis, Opportunity and Forecast, By Based on End-Users, 2016-2032
- 5.5.1. Western Europe Generative AI in Biotech Market Analysis by Based on End-Users: Introduction
- 5.5.2. Market Size Absolute $ Opportunity Analysis and Forecast, By Based on End-Users, 2016-2032
- 5.5.3. Pharmaceutical companies
- 5.5.4. Biotechnology startups
- 5.5.5. Academic institutions
- 5.5.6. Research organizations
- 5.5.7. Other end-users
- 5.6. Western Europe Generative AI in Biotech Market Analysis, Opportunity and Forecast, By Country , 2016-2032
- 5.6.1. Western Europe Generative AI in Biotech Market Analysis by Country : Introduction
- 5.6.2. Market Size Absolute $ Opportunity Analysis and Forecast, Country , 2016-2032
- 5.6.2.1. Germany
- 5.6.2.2. France
- 5.6.2.3. The UK
- 5.6.2.4. Spain
- 5.6.2.5. Italy
- 5.6.2.6. Portugal
- 5.6.2.7. Ireland
- 5.6.2.8. Austria
- 5.6.2.9. Switzerland
- 5.6.2.10. Benelux
- 5.6.2.11. Nordic
- 5.6.2.12. Rest of Western Europe
- 6. Eastern Europe Generative AI in Biotech Market Analysis, Opportunity and Forecast, 2016-2032
- 6.1. Eastern Europe Generative AI in Biotech Market Analysis, 2016-2021
- 6.2. Eastern Europe Generative AI in Biotech Market Opportunity and Forecast, 2023-2032
- 6.3. Eastern Europe Generative AI in Biotech Market Analysis, Opportunity and Forecast, By Based on Technology, 2016-2032
- 6.3.1. Eastern Europe Generative AI in Biotech Market Analysis by Based on Technology: Introduction
- 6.3.2. Market Size Absolute $ Opportunity Analysis and Forecast, By Based on Technology, 2016-2032
- 6.3.3. Natural Language Processing (NLP)
- 6.3.4. Generative Adversarial Networks (GANs)
- 6.3.5. Variational Autoencoders (VAEs)
- 6.3.6. Reinforcement Learning
- 6.3.7. Other Technologies
- 6.4. Eastern Europe Generative AI in Biotech Market Analysis, Opportunity and Forecast, By Based on Applications, 2016-2032
- 6.4.1. Eastern Europe Generative AI in Biotech Market Analysis by Based on Applications: Introduction
- 6.4.2. Market Size Absolute $ Opportunity Analysis and Forecast, By Based on Applications, 2016-2032
- 6.4.3. Drug discovery
- 6.4.4. Protein engineering
- 6.4.5. Genomics
- 6.4.6. Bioinformatics
- 6.4.7. Other Applications
- 6.5. Eastern Europe Generative AI in Biotech Market Analysis, Opportunity and Forecast, By Based on End-Users, 2016-2032
- 6.5.1. Eastern Europe Generative AI in Biotech Market Analysis by Based on End-Users: Introduction
- 6.5.2. Market Size Absolute $ Opportunity Analysis and Forecast, By Based on End-Users, 2016-2032
- 6.5.3. Pharmaceutical companies
- 6.5.4. Biotechnology startups
- 6.5.5. Academic institutions
- 6.5.6. Research organizations
- 6.5.7. Other end-users
- 6.6. Eastern Europe Generative AI in Biotech Market Analysis, Opportunity and Forecast, By Country , 2016-2032
- 6.6.1. Eastern Europe Generative AI in Biotech Market Analysis by Country : Introduction
- 6.6.2. Market Size Absolute $ Opportunity Analysis and Forecast, Country , 2016-2032
- 6.6.2.1. Russia
- 6.6.2.2. Poland
- 6.6.2.3. The Czech Republic
- 6.6.2.4. Greece
- 6.6.2.5. Rest of Eastern Europe
- 7. APAC Generative AI in Biotech Market Analysis, Opportunity and Forecast, 2016-2032
- 7.1. APAC Generative AI in Biotech Market Analysis, 2016-2021
- 7.2. APAC Generative AI in Biotech Market Opportunity and Forecast, 2023-2032
- 7.3. APAC Generative AI in Biotech Market Analysis, Opportunity and Forecast, By Based on Technology, 2016-2032
- 7.3.1. APAC Generative AI in Biotech Market Analysis by Based on Technology: Introduction
- 7.3.2. Market Size Absolute $ Opportunity Analysis and Forecast, By Based on Technology, 2016-2032
- 7.3.3. Natural Language Processing (NLP)
- 7.3.4. Generative Adversarial Networks (GANs)
- 7.3.5. Variational Autoencoders (VAEs)
- 7.3.6. Reinforcement Learning
- 7.3.7. Other Technologies
- 7.4. APAC Generative AI in Biotech Market Analysis, Opportunity and Forecast, By Based on Applications, 2016-2032
- 7.4.1. APAC Generative AI in Biotech Market Analysis by Based on Applications: Introduction
- 7.4.2. Market Size Absolute $ Opportunity Analysis and Forecast, By Based on Applications, 2016-2032
- 7.4.3. Drug discovery
- 7.4.4. Protein engineering
- 7.4.5. Genomics
- 7.4.6. Bioinformatics
- 7.4.7. Other Applications
- 7.5. APAC Generative AI in Biotech Market Analysis, Opportunity and Forecast, By Based on End-Users, 2016-2032
- 7.5.1. APAC Generative AI in Biotech Market Analysis by Based on End-Users: Introduction
- 7.5.2. Market Size Absolute $ Opportunity Analysis and Forecast, By Based on End-Users, 2016-2032
- 7.5.3. Pharmaceutical companies
- 7.5.4. Biotechnology startups
- 7.5.5. Academic institutions
- 7.5.6. Research organizations
- 7.5.7. Other end-users
- 7.6. APAC Generative AI in Biotech Market Analysis, Opportunity and Forecast, By Country , 2016-2032
- 7.6.1. APAC Generative AI in Biotech Market Analysis by Country : Introduction
- 7.6.2. Market Size Absolute $ Opportunity Analysis and Forecast, Country , 2016-2032
- 7.6.2.1. China
- 7.6.2.2. Japan
- 7.6.2.3. South Korea
- 7.6.2.4. India
- 7.6.2.5. Australia & New Zeland
- 7.6.2.6. Indonesia
- 7.6.2.7. Malaysia
- 7.6.2.8. Philippines
- 7.6.2.9. Singapore
- 7.6.2.10. Thailand
- 7.6.2.11. Vietnam
- 7.6.2.12. Rest of APAC
- 8. Latin America Generative AI in Biotech Market Analysis, Opportunity and Forecast, 2016-2032
- 8.1. Latin America Generative AI in Biotech Market Analysis, 2016-2021
- 8.2. Latin America Generative AI in Biotech Market Opportunity and Forecast, 2023-2032
- 8.3. Latin America Generative AI in Biotech Market Analysis, Opportunity and Forecast, By Based on Technology, 2016-2032
- 8.3.1. Latin America Generative AI in Biotech Market Analysis by Based on Technology: Introduction
- 8.3.2. Market Size Absolute $ Opportunity Analysis and Forecast, By Based on Technology, 2016-2032
- 8.3.3. Natural Language Processing (NLP)
- 8.3.4. Generative Adversarial Networks (GANs)
- 8.3.5. Variational Autoencoders (VAEs)
- 8.3.6. Reinforcement Learning
- 8.3.7. Other Technologies
- 8.4. Latin America Generative AI in Biotech Market Analysis, Opportunity and Forecast, By Based on Applications, 2016-2032
- 8.4.1. Latin America Generative AI in Biotech Market Analysis by Based on Applications: Introduction
- 8.4.2. Market Size Absolute $ Opportunity Analysis and Forecast, By Based on Applications, 2016-2032
- 8.4.3. Drug discovery
- 8.4.4. Protein engineering
- 8.4.5. Genomics
- 8.4.6. Bioinformatics
- 8.4.7. Other Applications
- 8.5. Latin America Generative AI in Biotech Market Analysis, Opportunity and Forecast, By Based on End-Users, 2016-2032
- 8.5.1. Latin America Generative AI in Biotech Market Analysis by Based on End-Users: Introduction
- 8.5.2. Market Size Absolute $ Opportunity Analysis and Forecast, By Based on End-Users, 2016-2032
- 8.5.3. Pharmaceutical companies
- 8.5.4. Biotechnology startups
- 8.5.5. Academic institutions
- 8.5.6. Research organizations
- 8.5.7. Other end-users
- 8.6. Latin America Generative AI in Biotech Market Analysis, Opportunity and Forecast, By Country , 2016-2032
- 8.6.1. Latin America Generative AI in Biotech Market Analysis by Country : Introduction
- 8.6.2. Market Size Absolute $ Opportunity Analysis and Forecast, Country , 2016-2032
- 8.6.2.1. Brazil
- 8.6.2.2. Colombia
- 8.6.2.3. Chile
- 8.6.2.4. Argentina
- 8.6.2.5. Costa Rica
- 8.6.2.6. Rest of Latin America
- 9. Middle East & Africa Generative AI in Biotech Market Analysis, Opportunity and Forecast, 2016-2032
- 9.1. Middle East & Africa Generative AI in Biotech Market Analysis, 2016-2021
- 9.2. Middle East & Africa Generative AI in Biotech Market Opportunity and Forecast, 2023-2032
- 9.3. Middle East & Africa Generative AI in Biotech Market Analysis, Opportunity and Forecast, By Based on Technology, 2016-2032
- 9.3.1. Middle East & Africa Generative AI in Biotech Market Analysis by Based on Technology: Introduction
- 9.3.2. Market Size Absolute $ Opportunity Analysis and Forecast, By Based on Technology, 2016-2032
- 9.3.3. Natural Language Processing (NLP)
- 9.3.4. Generative Adversarial Networks (GANs)
- 9.3.5. Variational Autoencoders (VAEs)
- 9.3.6. Reinforcement Learning
- 9.3.7. Other Technologies
- 9.4. Middle East & Africa Generative AI in Biotech Market Analysis, Opportunity and Forecast, By Based on Applications, 2016-2032
- 9.4.1. Middle East & Africa Generative AI in Biotech Market Analysis by Based on Applications: Introduction
- 9.4.2. Market Size Absolute $ Opportunity Analysis and Forecast, By Based on Applications, 2016-2032
- 9.4.3. Drug discovery
- 9.4.4. Protein engineering
- 9.4.5. Genomics
- 9.4.6. Bioinformatics
- 9.4.7. Other Applications
- 9.5. Middle East & Africa Generative AI in Biotech Market Analysis, Opportunity and Forecast, By Based on End-Users, 2016-2032
- 9.5.1. Middle East & Africa Generative AI in Biotech Market Analysis by Based on End-Users: Introduction
- 9.5.2. Market Size Absolute $ Opportunity Analysis and Forecast, By Based on End-Users, 2016-2032
- 9.5.3. Pharmaceutical companies
- 9.5.4. Biotechnology startups
- 9.5.5. Academic institutions
- 9.5.6. Research organizations
- 9.5.7. Other end-users
- 9.6. Middle East & Africa Generative AI in Biotech Market Analysis, Opportunity and Forecast, By Country , 2016-2032
- 9.6.1. Middle East & Africa Generative AI in Biotech Market Analysis by Country : Introduction
- 9.6.2. Market Size Absolute $ Opportunity Analysis and Forecast, Country , 2016-2032
- 9.6.2.1. Algeria
- 9.6.2.2. Egypt
- 9.6.2.3. Israel
- 9.6.2.4. Kuwait
- 9.6.2.5. Nigeria
- 9.6.2.6. Saudi Arabia
- 9.6.2.7. South Africa
- 9.6.2.8. Turkey
- 9.6.2.9. The UAE
- 9.6.2.10. Rest of MEA
- 10. Global Generative AI in Biotech Market Analysis, Opportunity and Forecast, By Region , 2016-2032
- 10.1. Global Generative AI in Biotech Market Analysis by Region : Introduction
- 10.2. Market Size Absolute $ Opportunity Analysis and Forecast, By Region , 2016-2032
- 10.2.1. North America
- 10.2.2. Western Europe
- 10.2.3. Eastern Europe
- 10.2.4. APAC
- 10.2.5. Latin America
- 10.2.6. Middle East & Africa
- 11. Global Generative AI in Biotech Market Competitive Landscape, Market Share Analysis, and Company Profiles
- 11.1. Market Share Analysis
- 11.2. Company Profiles
- 11.3. Insilico Medicine
- 11.3.1. Company Overview
- 11.3.2. Financial Highlights
- 11.3.3. Product Portfolio
- 11.3.4. SWOT Analysis
- 11.3.5. Key Strategies and Developments
- 11.4. Recursion Pharmaceuticals
- 11.4.1. Company Overview
- 11.4.2. Financial Highlights
- 11.4.3. Product Portfolio
- 11.4.4. SWOT Analysis
- 11.4.5. Key Strategies and Developments
- 11.5. Atomwise
- 11.5.1. Company Overview
- 11.5.2. Financial Highlights
- 11.5.3. Product Portfolio
- 11.5.4. SWOT Analysis
- 11.5.5. Key Strategies and Developments
- 11.6. Deep Genomics
- 11.6.1. Company Overview
- 11.6.2. Financial Highlights
- 11.6.3. Product Portfolio
- 11.6.4. SWOT Analysis
- 11.6.5. Key Strategies and Developments
- 11.7. BenevolentAI
- 11.7.1. Company Overview
- 11.7.2. Financial Highlights
- 11.7.3. Product Portfolio
- 11.7.4. SWOT Analysis
- 11.7.5. Key Strategies and Developments
- 11.8. Numerate
- 11.8.1. Company Overview
- 11.8.2. Financial Highlights
- 11.8.3. Product Portfolio
- 11.8.4. SWOT Analysis
- 11.8.5. Key Strategies and Developments
- 11.9. Ginkgo Bioworks
- 11.9.1. Company Overview
- 11.9.2. Financial Highlights
- 11.9.3. Product Portfolio
- 11.9.4. SWOT Analysis
- 11.9.5. Key Strategies and Developments
- 11.10. Zymergen
- 11.10.1. Company Overview
- 11.10.2. Financial Highlights
- 11.10.3. Product Portfolio
- 11.10.4. SWOT Analysis
- 11.10.5. Key Strategies and Developments
- 11.11. OpenAI
- 11.11.1. Company Overview
- 11.11.2. Financial Highlights
- 11.11.3. Product Portfolio
- 11.11.4. SWOT Analysis
- 11.11.5. Key Strategies and Developments
- 11.12. DeepMind
- 11.12.1. Company Overview
- 11.12.2. Financial Highlights
- 11.12.3. Product Portfolio
- 11.12.4. SWOT Analysis
- 11.12.5. Key Strategies and Developments
- 11.13. Other Key Players
- 11.13.1. Company Overview
- 11.13.2. Financial Highlights
- 11.13.3. Product Portfolio
- 11.13.4. SWOT Analysis
- 11.13.5. Key Strategies and Developments
- 12. Assumptions and Acronyms
- 13. Research Methodology
- 14. Contact
- List of Figures
- Figure 1: Global Generative AI in Biotech Market Revenue (US$ Mn) Market Share by Based on Technology in 2022
- Figure 2: Global Generative AI in Biotech Market Attractiveness Analysis by Based on Technology, 2016-2032
- Figure 3: Global Generative AI in Biotech Market Revenue (US$ Mn) Market Share by Based on Applicationsin 2022
- Figure 4: Global Generative AI in Biotech Market Attractiveness Analysis by Based on Applications, 2016-2032
- Figure 5: Global Generative AI in Biotech Market Revenue (US$ Mn) Market Share by Based on End-Usersin 2022
- Figure 6: Global Generative AI in Biotech Market Attractiveness Analysis by Based on End-Users, 2016-2032
- Figure 7: Global Generative AI in Biotech Market Revenue (US$ Mn) Market Share by Region in 2022
- Figure 8: Global Generative AI in Biotech Market Attractiveness Analysis by Region, 2016-2032
- Figure 9: Global Generative AI in Biotech Market Revenue (US$ Mn) (2016-2032)
- Figure 10: Global Generative AI in Biotech Market Revenue (US$ Mn) Comparison by Region (2016-2032)
- Figure 11: Global Generative AI in Biotech Market Revenue (US$ Mn) Comparison by Based on Technology (2016-2032)
- Figure 12: Global Generative AI in Biotech Market Revenue (US$ Mn) Comparison by Based on Applications (2016-2032)
- Figure 13: Global Generative AI in Biotech Market Revenue (US$ Mn) Comparison by Based on End-Users (2016-2032)
- Figure 14: Global Generative AI in Biotech Market Y-o-Y Growth Rate Comparison by Region (2016-2032)
- Figure 15: Global Generative AI in Biotech Market Y-o-Y Growth Rate Comparison by Based on Technology (2016-2032)
- Figure 16: Global Generative AI in Biotech Market Y-o-Y Growth Rate Comparison by Based on Applications (2016-2032)
- Figure 17: Global Generative AI in Biotech Market Y-o-Y Growth Rate Comparison by Based on End-Users (2016-2032)
- Figure 18: Global Generative AI in Biotech Market Share Comparison by Region (2016-2032)
- Figure 19: Global Generative AI in Biotech Market Share Comparison by Based on Technology (2016-2032)
- Figure 20: Global Generative AI in Biotech Market Share Comparison by Based on Applications (2016-2032)
- Figure 21: Global Generative AI in Biotech Market Share Comparison by Based on End-Users (2016-2032)
- Figure 22: North America Generative AI in Biotech Market Revenue (US$ Mn) Market Share by Based on Technologyin 2022
- Figure 23: North America Generative AI in Biotech Market Attractiveness Analysis by Based on Technology, 2016-2032
- Figure 24: North America Generative AI in Biotech Market Revenue (US$ Mn) Market Share by Based on Applicationsin 2022
- Figure 25: North America Generative AI in Biotech Market Attractiveness Analysis by Based on Applications, 2016-2032
- Figure 26: North America Generative AI in Biotech Market Revenue (US$ Mn) Market Share by Based on End-Usersin 2022
- Figure 27: North America Generative AI in Biotech Market Attractiveness Analysis by Based on End-Users, 2016-2032
- Figure 28: North America Generative AI in Biotech Market Revenue (US$ Mn) Market Share by Country in 2022
- Figure 29: North America Generative AI in Biotech Market Attractiveness Analysis by Country, 2016-2032
- Figure 30: North America Generative AI in Biotech Market Revenue (US$ Mn) (2016-2032)
- Figure 31: North America Generative AI in Biotech Market Revenue (US$ Mn) Comparison by Country (2016-2032)
- Figure 32: North America Generative AI in Biotech Market Revenue (US$ Mn) Comparison by Based on Technology (2016-2032)
- Figure 33: North America Generative AI in Biotech Market Revenue (US$ Mn) Comparison by Based on Applications (2016-2032)
- Figure 34: North America Generative AI in Biotech Market Revenue (US$ Mn) Comparison by Based on End-Users (2016-2032)
- Figure 35: North America Generative AI in Biotech Market Y-o-Y Growth Rate Comparison by Country (2016-2032)
- Figure 36: North America Generative AI in Biotech Market Y-o-Y Growth Rate Comparison by Based on Technology (2016-2032)
- Figure 37: North America Generative AI in Biotech Market Y-o-Y Growth Rate Comparison by Based on Applications (2016-2032)
- Figure 38: North America Generative AI in Biotech Market Y-o-Y Growth Rate Comparison by Based on End-Users (2016-2032)
- Figure 39: North America Generative AI in Biotech Market Share Comparison by Country (2016-2032)
- Figure 40: North America Generative AI in Biotech Market Share Comparison by Based on Technology (2016-2032)
- Figure 41: North America Generative AI in Biotech Market Share Comparison by Based on Applications (2016-2032)
- Figure 42: North America Generative AI in Biotech Market Share Comparison by Based on End-Users (2016-2032)
- Figure 43: Western Europe Generative AI in Biotech Market Revenue (US$ Mn) Market Share by Based on Technologyin 2022
- Figure 44: Western Europe Generative AI in Biotech Market Attractiveness Analysis by Based on Technology, 2016-2032
- Figure 45: Western Europe Generative AI in Biotech Market Revenue (US$ Mn) Market Share by Based on Applicationsin 2022
- Figure 46: Western Europe Generative AI in Biotech Market Attractiveness Analysis by Based on Applications, 2016-2032
- Figure 47: Western Europe Generative AI in Biotech Market Revenue (US$ Mn) Market Share by Based on End-Usersin 2022
- Figure 48: Western Europe Generative AI in Biotech Market Attractiveness Analysis by Based on End-Users, 2016-2032
- Figure 49: Western Europe Generative AI in Biotech Market Revenue (US$ Mn) Market Share by Country in 2022
- Figure 50: Western Europe Generative AI in Biotech Market Attractiveness Analysis by Country, 2016-2032
- Figure 51: Western Europe Generative AI in Biotech Market Revenue (US$ Mn) (2016-2032)
- Figure 52: Western Europe Generative AI in Biotech Market Revenue (US$ Mn) Comparison by Country (2016-2032)
- Figure 53: Western Europe Generative AI in Biotech Market Revenue (US$ Mn) Comparison by Based on Technology (2016-2032)
- Figure 54: Western Europe Generative AI in Biotech Market Revenue (US$ Mn) Comparison by Based on Applications (2016-2032)
- Figure 55: Western Europe Generative AI in Biotech Market Revenue (US$ Mn) Comparison by Based on End-Users (2016-2032)
- Figure 56: Western Europe Generative AI in Biotech Market Y-o-Y Growth Rate Comparison by Country (2016-2032)
- Figure 57: Western Europe Generative AI in Biotech Market Y-o-Y Growth Rate Comparison by Based on Technology (2016-2032)
- Figure 58: Western Europe Generative AI in Biotech Market Y-o-Y Growth Rate Comparison by Based on Applications (2016-2032)
- Figure 59: Western Europe Generative AI in Biotech Market Y-o-Y Growth Rate Comparison by Based on End-Users (2016-2032)
- Figure 60: Western Europe Generative AI in Biotech Market Share Comparison by Country (2016-2032)
- Figure 61: Western Europe Generative AI in Biotech Market Share Comparison by Based on Technology (2016-2032)
- Figure 62: Western Europe Generative AI in Biotech Market Share Comparison by Based on Applications (2016-2032)
- Figure 63: Western Europe Generative AI in Biotech Market Share Comparison by Based on End-Users (2016-2032)
- Figure 64: Eastern Europe Generative AI in Biotech Market Revenue (US$ Mn) Market Share by Based on Technologyin 2022
- Figure 65: Eastern Europe Generative AI in Biotech Market Attractiveness Analysis by Based on Technology, 2016-2032
- Figure 66: Eastern Europe Generative AI in Biotech Market Revenue (US$ Mn) Market Share by Based on Applicationsin 2022
- Figure 67: Eastern Europe Generative AI in Biotech Market Attractiveness Analysis by Based on Applications, 2016-2032
- Figure 68: Eastern Europe Generative AI in Biotech Market Revenue (US$ Mn) Market Share by Based on End-Usersin 2022
- Figure 69: Eastern Europe Generative AI in Biotech Market Attractiveness Analysis by Based on End-Users, 2016-2032
- Figure 70: Eastern Europe Generative AI in Biotech Market Revenue (US$ Mn) Market Share by Country in 2022
- Figure 71: Eastern Europe Generative AI in Biotech Market Attractiveness Analysis by Country, 2016-2032
- Figure 72: Eastern Europe Generative AI in Biotech Market Revenue (US$ Mn) (2016-2032)
- Figure 73: Eastern Europe Generative AI in Biotech Market Revenue (US$ Mn) Comparison by Country (2016-2032)
- Figure 74: Eastern Europe Generative AI in Biotech Market Revenue (US$ Mn) Comparison by Based on Technology (2016-2032)
- Figure 75: Eastern Europe Generative AI in Biotech Market Revenue (US$ Mn) Comparison by Based on Applications (2016-2032)
- Figure 76: Eastern Europe Generative AI in Biotech Market Revenue (US$ Mn) Comparison by Based on End-Users (2016-2032)
- Figure 77: Eastern Europe Generative AI in Biotech Market Y-o-Y Growth Rate Comparison by Country (2016-2032)
- Figure 78: Eastern Europe Generative AI in Biotech Market Y-o-Y Growth Rate Comparison by Based on Technology (2016-2032)
- Figure 79: Eastern Europe Generative AI in Biotech Market Y-o-Y Growth Rate Comparison by Based on Applications (2016-2032)
- Figure 80: Eastern Europe Generative AI in Biotech Market Y-o-Y Growth Rate Comparison by Based on End-Users (2016-2032)
- Figure 81: Eastern Europe Generative AI in Biotech Market Share Comparison by Country (2016-2032)
- Figure 82: Eastern Europe Generative AI in Biotech Market Share Comparison by Based on Technology (2016-2032)
- Figure 83: Eastern Europe Generative AI in Biotech Market Share Comparison by Based on Applications (2016-2032)
- Figure 84: Eastern Europe Generative AI in Biotech Market Share Comparison by Based on End-Users (2016-2032)
- Figure 85: APAC Generative AI in Biotech Market Revenue (US$ Mn) Market Share by Based on Technologyin 2022
- Figure 86: APAC Generative AI in Biotech Market Attractiveness Analysis by Based on Technology, 2016-2032
- Figure 87: APAC Generative AI in Biotech Market Revenue (US$ Mn) Market Share by Based on Applicationsin 2022
- Figure 88: APAC Generative AI in Biotech Market Attractiveness Analysis by Based on Applications, 2016-2032
- Figure 89: APAC Generative AI in Biotech Market Revenue (US$ Mn) Market Share by Based on End-Usersin 2022
- Figure 90: APAC Generative AI in Biotech Market Attractiveness Analysis by Based on End-Users, 2016-2032
- Figure 91: APAC Generative AI in Biotech Market Revenue (US$ Mn) Market Share by Country in 2022
- Figure 92: APAC Generative AI in Biotech Market Attractiveness Analysis by Country, 2016-2032
- Figure 93: APAC Generative AI in Biotech Market Revenue (US$ Mn) (2016-2032)
- Figure 94: APAC Generative AI in Biotech Market Revenue (US$ Mn) Comparison by Country (2016-2032)
- Figure 95: APAC Generative AI in Biotech Market Revenue (US$ Mn) Comparison by Based on Technology (2016-2032)
- Figure 96: APAC Generative AI in Biotech Market Revenue (US$ Mn) Comparison by Based on Applications (2016-2032)
- Figure 97: APAC Generative AI in Biotech Market Revenue (US$ Mn) Comparison by Based on End-Users (2016-2032)
- Figure 98: APAC Generative AI in Biotech Market Y-o-Y Growth Rate Comparison by Country (2016-2032)
- Figure 99: APAC Generative AI in Biotech Market Y-o-Y Growth Rate Comparison by Based on Technology (2016-2032)
- Figure 100: APAC Generative AI in Biotech Market Y-o-Y Growth Rate Comparison by Based on Applications (2016-2032)
- Figure 101: APAC Generative AI in Biotech Market Y-o-Y Growth Rate Comparison by Based on End-Users (2016-2032)
- Figure 102: APAC Generative AI in Biotech Market Share Comparison by Country (2016-2032)
- Figure 103: APAC Generative AI in Biotech Market Share Comparison by Based on Technology (2016-2032)
- Figure 104: APAC Generative AI in Biotech Market Share Comparison by Based on Applications (2016-2032)
- Figure 105: APAC Generative AI in Biotech Market Share Comparison by Based on End-Users (2016-2032)
- Figure 106: Latin America Generative AI in Biotech Market Revenue (US$ Mn) Market Share by Based on Technologyin 2022
- Figure 107: Latin America Generative AI in Biotech Market Attractiveness Analysis by Based on Technology, 2016-2032
- Figure 108: Latin America Generative AI in Biotech Market Revenue (US$ Mn) Market Share by Based on Applicationsin 2022
- Figure 109: Latin America Generative AI in Biotech Market Attractiveness Analysis by Based on Applications, 2016-2032
- Figure 110: Latin America Generative AI in Biotech Market Revenue (US$ Mn) Market Share by Based on End-Usersin 2022
- Figure 111: Latin America Generative AI in Biotech Market Attractiveness Analysis by Based on End-Users, 2016-2032
- Figure 112: Latin America Generative AI in Biotech Market Revenue (US$ Mn) Market Share by Country in 2022
- Figure 113: Latin America Generative AI in Biotech Market Attractiveness Analysis by Country, 2016-2032
- Figure 114: Latin America Generative AI in Biotech Market Revenue (US$ Mn) (2016-2032)
- Figure 115: Latin America Generative AI in Biotech Market Revenue (US$ Mn) Comparison by Country (2016-2032)
- Figure 116: Latin America Generative AI in Biotech Market Revenue (US$ Mn) Comparison by Based on Technology (2016-2032)
- Figure 117: Latin America Generative AI in Biotech Market Revenue (US$ Mn) Comparison by Based on Applications (2016-2032)
- Figure 118: Latin America Generative AI in Biotech Market Revenue (US$ Mn) Comparison by Based on End-Users (2016-2032)
- Figure 119: Latin America Generative AI in Biotech Market Y-o-Y Growth Rate Comparison by Country (2016-2032)
- Figure 120: Latin America Generative AI in Biotech Market Y-o-Y Growth Rate Comparison by Based on Technology (2016-2032)
- Figure 121: Latin America Generative AI in Biotech Market Y-o-Y Growth Rate Comparison by Based on Applications (2016-2032)
- Figure 122: Latin America Generative AI in Biotech Market Y-o-Y Growth Rate Comparison by Based on End-Users (2016-2032)
- Figure 123: Latin America Generative AI in Biotech Market Share Comparison by Country (2016-2032)
- Figure 124: Latin America Generative AI in Biotech Market Share Comparison by Based on Technology (2016-2032)
- Figure 125: Latin America Generative AI in Biotech Market Share Comparison by Based on Applications (2016-2032)
- Figure 126: Latin America Generative AI in Biotech Market Share Comparison by Based on End-Users (2016-2032)
- Figure 127: Middle East & Africa Generative AI in Biotech Market Revenue (US$ Mn) Market Share by Based on Technologyin 2022
- Figure 128: Middle East & Africa Generative AI in Biotech Market Attractiveness Analysis by Based on Technology, 2016-2032
- Figure 129: Middle East & Africa Generative AI in Biotech Market Revenue (US$ Mn) Market Share by Based on Applicationsin 2022
- Figure 130: Middle East & Africa Generative AI in Biotech Market Attractiveness Analysis by Based on Applications, 2016-2032
- Figure 131: Middle East & Africa Generative AI in Biotech Market Revenue (US$ Mn) Market Share by Based on End-Usersin 2022
- Figure 132: Middle East & Africa Generative AI in Biotech Market Attractiveness Analysis by Based on End-Users, 2016-2032
- Figure 133: Middle East & Africa Generative AI in Biotech Market Revenue (US$ Mn) Market Share by Country in 2022
- Figure 134: Middle East & Africa Generative AI in Biotech Market Attractiveness Analysis by Country, 2016-2032
- Figure 135: Middle East & Africa Generative AI in Biotech Market Revenue (US$ Mn) (2016-2032)
- Figure 136: Middle East & Africa Generative AI in Biotech Market Revenue (US$ Mn) Comparison by Country (2016-2032)
- Figure 137: Middle East & Africa Generative AI in Biotech Market Revenue (US$ Mn) Comparison by Based on Technology (2016-2032)
- Figure 138: Middle East & Africa Generative AI in Biotech Market Revenue (US$ Mn) Comparison by Based on Applications (2016-2032)
- Figure 139: Middle East & Africa Generative AI in Biotech Market Revenue (US$ Mn) Comparison by Based on End-Users (2016-2032)
- Figure 140: Middle East & Africa Generative AI in Biotech Market Y-o-Y Growth Rate Comparison by Country (2016-2032)
- Figure 141: Middle East & Africa Generative AI in Biotech Market Y-o-Y Growth Rate Comparison by Based on Technology (2016-2032)
- Figure 142: Middle East & Africa Generative AI in Biotech Market Y-o-Y Growth Rate Comparison by Based on Applications (2016-2032)
- Figure 143: Middle East & Africa Generative AI in Biotech Market Y-o-Y Growth Rate Comparison by Based on End-Users (2016-2032)
- Figure 144: Middle East & Africa Generative AI in Biotech Market Share Comparison by Country (2016-2032)
- Figure 145: Middle East & Africa Generative AI in Biotech Market Share Comparison by Based on Technology (2016-2032)
- Figure 146: Middle East & Africa Generative AI in Biotech Market Share Comparison by Based on Applications (2016-2032)
- Figure 147: Middle East & Africa Generative AI in Biotech Market Share Comparison by Based on End-Users (2016-2032)
- Table 1: Global Generative AI in Biotech Market Comparison by Based on Technology (2016-2032)
- Table 2: Global Generative AI in Biotech Market Comparison by Based on Applications (2016-2032)
- Table 3: Global Generative AI in Biotech Market Comparison by Based on End-Users (2016-2032)
- Table 4: Global Generative AI in Biotech Market Revenue (US$ Mn) Comparison by Region (2016-2032)
- Table 5: Global Generative AI in Biotech Market Revenue (US$ Mn) (2016-2032)
- Table 6: Global Generative AI in Biotech Market Revenue (US$ Mn) Comparison by Region (2016-2032)
- Table 7: Global Generative AI in Biotech Market Revenue (US$ Mn) Comparison by Based on Technology (2016-2032)
- Table 8: Global Generative AI in Biotech Market Revenue (US$ Mn) Comparison by Based on Applications (2016-2032)
- Table 9: Global Generative AI in Biotech Market Revenue (US$ Mn) Comparison by Based on End-Users (2016-2032)
- Table 10: Global Generative AI in Biotech Market Y-o-Y Growth Rate Comparison by Region (2016-2032)
- Table 11: Global Generative AI in Biotech Market Y-o-Y Growth Rate Comparison by Based on Technology (2016-2032)
- Table 12: Global Generative AI in Biotech Market Y-o-Y Growth Rate Comparison by Based on Applications (2016-2032)
- Table 13: Global Generative AI in Biotech Market Y-o-Y Growth Rate Comparison by Based on End-Users (2016-2032)
- Table 14: Global Generative AI in Biotech Market Share Comparison by Region (2016-2032)
- Table 15: Global Generative AI in Biotech Market Share Comparison by Based on Technology (2016-2032)
- Table 16: Global Generative AI in Biotech Market Share Comparison by Based on Applications (2016-2032)
- Table 17: Global Generative AI in Biotech Market Share Comparison by Based on End-Users (2016-2032)
- Table 18: North America Generative AI in Biotech Market Comparison by Based on Applications (2016-2032)
- Table 19: North America Generative AI in Biotech Market Comparison by Based on End-Users (2016-2032)
- Table 20: North America Generative AI in Biotech Market Revenue (US$ Mn) Comparison by Country (2016-2032)
- Table 21: North America Generative AI in Biotech Market Revenue (US$ Mn) (2016-2032)
- Table 22: North America Generative AI in Biotech Market Revenue (US$ Mn) Comparison by Country (2016-2032)
- Table 23: North America Generative AI in Biotech Market Revenue (US$ Mn) Comparison by Based on Technology (2016-2032)
- Table 24: North America Generative AI in Biotech Market Revenue (US$ Mn) Comparison by Based on Applications (2016-2032)
- Table 25: North America Generative AI in Biotech Market Revenue (US$ Mn) Comparison by Based on End-Users (2016-2032)
- Table 26: North America Generative AI in Biotech Market Y-o-Y Growth Rate Comparison by Country (2016-2032)
- Table 27: North America Generative AI in Biotech Market Y-o-Y Growth Rate Comparison by Based on Technology (2016-2032)
- Table 28: North America Generative AI in Biotech Market Y-o-Y Growth Rate Comparison by Based on Applications (2016-2032)
- Table 29: North America Generative AI in Biotech Market Y-o-Y Growth Rate Comparison by Based on End-Users (2016-2032)
- Table 30: North America Generative AI in Biotech Market Share Comparison by Country (2016-2032)
- Table 31: North America Generative AI in Biotech Market Share Comparison by Based on Technology (2016-2032)
- Table 32: North America Generative AI in Biotech Market Share Comparison by Based on Applications (2016-2032)
- Table 33: North America Generative AI in Biotech Market Share Comparison by Based on End-Users (2016-2032)
- Table 34: Western Europe Generative AI in Biotech Market Comparison by Based on Technology (2016-2032)
- Table 35: Western Europe Generative AI in Biotech Market Comparison by Based on Applications (2016-2032)
- Table 36: Western Europe Generative AI in Biotech Market Comparison by Based on End-Users (2016-2032)
- Table 37: Western Europe Generative AI in Biotech Market Revenue (US$ Mn) Comparison by Country (2016-2032)
- Table 38: Western Europe Generative AI in Biotech Market Revenue (US$ Mn) (2016-2032)
- Table 39: Western Europe Generative AI in Biotech Market Revenue (US$ Mn) Comparison by Country (2016-2032)
- Table 40: Western Europe Generative AI in Biotech Market Revenue (US$ Mn) Comparison by Based on Technology (2016-2032)
- Table 41: Western Europe Generative AI in Biotech Market Revenue (US$ Mn) Comparison by Based on Applications (2016-2032)
- Table 42: Western Europe Generative AI in Biotech Market Revenue (US$ Mn) Comparison by Based on End-Users (2016-2032)
- Table 43: Western Europe Generative AI in Biotech Market Y-o-Y Growth Rate Comparison by Country (2016-2032)
- Table 44: Western Europe Generative AI in Biotech Market Y-o-Y Growth Rate Comparison by Based on Technology (2016-2032)
- Table 45: Western Europe Generative AI in Biotech Market Y-o-Y Growth Rate Comparison by Based on Applications (2016-2032)
- Table 46: Western Europe Generative AI in Biotech Market Y-o-Y Growth Rate Comparison by Based on End-Users (2016-2032)
- Table 47: Western Europe Generative AI in Biotech Market Share Comparison by Country (2016-2032)
- Table 48: Western Europe Generative AI in Biotech Market Share Comparison by Based on Technology (2016-2032)
- Table 49: Western Europe Generative AI in Biotech Market Share Comparison by Based on Applications (2016-2032)
- Table 50: Western Europe Generative AI in Biotech Market Share Comparison by Based on End-Users (2016-2032)
- Table 51: Eastern Europe Generative AI in Biotech Market Comparison by Based on Technology (2016-2032)
- Table 52: Eastern Europe Generative AI in Biotech Market Comparison by Based on Applications (2016-2032)
- Table 53: Eastern Europe Generative AI in Biotech Market Comparison by Based on End-Users (2016-2032)
- Table 54: Eastern Europe Generative AI in Biotech Market Revenue (US$ Mn) Comparison by Country (2016-2032)
- Table 55: Eastern Europe Generative AI in Biotech Market Revenue (US$ Mn) (2016-2032)
- Table 56: Eastern Europe Generative AI in Biotech Market Revenue (US$ Mn) Comparison by Country (2016-2032)
- Table 57: Eastern Europe Generative AI in Biotech Market Revenue (US$ Mn) Comparison by Based on Technology (2016-2032)
- Table 58: Eastern Europe Generative AI in Biotech Market Revenue (US$ Mn) Comparison by Based on Applications (2016-2032)
- Table 59: Eastern Europe Generative AI in Biotech Market Revenue (US$ Mn) Comparison by Based on End-Users (2016-2032)
- Table 60: Eastern Europe Generative AI in Biotech Market Y-o-Y Growth Rate Comparison by Country (2016-2032)
- Table 61: Eastern Europe Generative AI in Biotech Market Y-o-Y Growth Rate Comparison by Based on Technology (2016-2032)
- Table 62: Eastern Europe Generative AI in Biotech Market Y-o-Y Growth Rate Comparison by Based on Applications (2016-2032)
- Table 63: Eastern Europe Generative AI in Biotech Market Y-o-Y Growth Rate Comparison by Based on End-Users (2016-2032)
- Table 64: Eastern Europe Generative AI in Biotech Market Share Comparison by Country (2016-2032)
- Table 65: Eastern Europe Generative AI in Biotech Market Share Comparison by Based on Technology (2016-2032)
- Table 66: Eastern Europe Generative AI in Biotech Market Share Comparison by Based on Applications (2016-2032)
- Table 67: Eastern Europe Generative AI in Biotech Market Share Comparison by Based on End-Users (2016-2032)
- Table 68: APAC Generative AI in Biotech Market Comparison by Based on Technology (2016-2032)
- Table 69: APAC Generative AI in Biotech Market Comparison by Based on Applications (2016-2032)
- Table 70: APAC Generative AI in Biotech Market Comparison by Based on End-Users (2016-2032)
- Table 71: APAC Generative AI in Biotech Market Revenue (US$ Mn) Comparison by Country (2016-2032)
- Table 72: APAC Generative AI in Biotech Market Revenue (US$ Mn) (2016-2032)
- Table 73: APAC Generative AI in Biotech Market Revenue (US$ Mn) Comparison by Country (2016-2032)
- Table 74: APAC Generative AI in Biotech Market Revenue (US$ Mn) Comparison by Based on Technology (2016-2032)
- Table 75: APAC Generative AI in Biotech Market Revenue (US$ Mn) Comparison by Based on Applications (2016-2032)
- Table 76: APAC Generative AI in Biotech Market Revenue (US$ Mn) Comparison by Based on End-Users (2016-2032)
- Table 77: APAC Generative AI in Biotech Market Y-o-Y Growth Rate Comparison by Country (2016-2032)
- Table 78: APAC Generative AI in Biotech Market Y-o-Y Growth Rate Comparison by Based on Technology (2016-2032)
- Table 79: APAC Generative AI in Biotech Market Y-o-Y Growth Rate Comparison by Based on Applications (2016-2032)
- Table 80: APAC Generative AI in Biotech Market Y-o-Y Growth Rate Comparison by Based on End-Users (2016-2032)
- Table 81: APAC Generative AI in Biotech Market Share Comparison by Country (2016-2032)
- Table 82: APAC Generative AI in Biotech Market Share Comparison by Based on Technology (2016-2032)
- Table 83: APAC Generative AI in Biotech Market Share Comparison by Based on Applications (2016-2032)
- Table 84: APAC Generative AI in Biotech Market Share Comparison by Based on End-Users (2016-2032)
- Table 85: Latin America Generative AI in Biotech Market Comparison by Based on Technology (2016-2032)
- Table 86: Latin America Generative AI in Biotech Market Comparison by Based on Applications (2016-2032)
- Table 87: Latin America Generative AI in Biotech Market Comparison by Based on End-Users (2016-2032)
- Table 88: Latin America Generative AI in Biotech Market Revenue (US$ Mn) Comparison by Country (2016-2032)
- Table 89: Latin America Generative AI in Biotech Market Revenue (US$ Mn) (2016-2032)
- Table 90: Latin America Generative AI in Biotech Market Revenue (US$ Mn) Comparison by Country (2016-2032)
- Table 91: Latin America Generative AI in Biotech Market Revenue (US$ Mn) Comparison by Based on Technology (2016-2032)
- Table 92: Latin America Generative AI in Biotech Market Revenue (US$ Mn) Comparison by Based on Applications (2016-2032)
- Table 93: Latin America Generative AI in Biotech Market Revenue (US$ Mn) Comparison by Based on End-Users (2016-2032)
- Table 94: Latin America Generative AI in Biotech Market Y-o-Y Growth Rate Comparison by Country (2016-2032)
- Table 95: Latin America Generative AI in Biotech Market Y-o-Y Growth Rate Comparison by Based on Technology (2016-2032)
- Table 96: Latin America Generative AI in Biotech Market Y-o-Y Growth Rate Comparison by Based on Applications (2016-2032)
- Table 97: Latin America Generative AI in Biotech Market Y-o-Y Growth Rate Comparison by Based on End-Users (2016-2032)
- Table 98: Latin America Generative AI in Biotech Market Share Comparison by Country (2016-2032)
- Table 99: Latin America Generative AI in Biotech Market Share Comparison by Based on Technology (2016-2032)
- Table 100: Latin America Generative AI in Biotech Market Share Comparison by Based on Applications (2016-2032)
- Table 101: Latin America Generative AI in Biotech Market Share Comparison by Based on End-Users (2016-2032)
- Table 102: Middle East & Africa Generative AI in Biotech Market Comparison by Based on Technology (2016-2032)
- Table 103: Middle East & Africa Generative AI in Biotech Market Comparison by Based on Applications (2016-2032)
- Table 104: Middle East & Africa Generative AI in Biotech Market Comparison by Based on End-Users (2016-2032)
- Table 105: Middle East & Africa Generative AI in Biotech Market Revenue (US$ Mn) Comparison by Country (2016-2032)
- Table 106: Middle East & Africa Generative AI in Biotech Market Revenue (US$ Mn) (2016-2032)
- Table 107: Middle East & Africa Generative AI in Biotech Market Revenue (US$ Mn) Comparison by Country (2016-2032)
- Table 108: Middle East & Africa Generative AI in Biotech Market Revenue (US$ Mn) Comparison by Based on Technology (2016-2032)
- Table 109: Middle East & Africa Generative AI in Biotech Market Revenue (US$ Mn) Comparison by Based on Applications (2016-2032)
- Table 110: Middle East & Africa Generative AI in Biotech Market Revenue (US$ Mn) Comparison by Based on End-Users (2016-2032)
- Table 111: Middle East & Africa Generative AI in Biotech Market Y-o-Y Growth Rate Comparison by Country (2016-2032)
- Table 112: Middle East & Africa Generative AI in Biotech Market Y-o-Y Growth Rate Comparison by Based on Technology (2016-2032)
- Table 113: Middle East & Africa Generative AI in Biotech Market Y-o-Y Growth Rate Comparison by Based on Applications (2016-2032)
- Table 114: Middle East & Africa Generative AI in Biotech Market Y-o-Y Growth Rate Comparison by Based on End-Users (2016-2032)
- Table 115: Middle East & Africa Generative AI in Biotech Market Share Comparison by Country (2016-2032)
- Table 116: Middle East & Africa Generative AI in Biotech Market Share Comparison by Based on Technology (2016-2032)
- Table 117: Middle East & Africa Generative AI in Biotech Market Share Comparison by Based on Applications (2016-2032)
- Table 118: Middle East & Africa Generative AI in Biotech Market Share Comparison by Based on End-Users (2016-2032)
- 1. Executive Summary
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