
Global Generative AI in Life Sciences Market by Technology (Novel molecule Generation, Protein Sequence Design, and Other ), By Application (Drug Discovery, Biotechnology, and other ), By Region and Companies - Industry Segment Outlook, Market Assessment, Competition Scenario, Trends, and Forecast 2023-2032
37679
July 2023
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Report Overview
Global Generative AI in Life Sciences Market size is expected to be worth around USD 947 million by 2032 from USD 155.7 million in 2022, growing at a CAGR of 20.35 %, during the forecast period from 2023 to 2032.
The ability to generate different types of content, such as text, images, voice, and synthetic data, is a unique feature of generative AI. Due to the technique, this technology is receiving huge attention. This technology is very beneficial as it offers simplicity for creating high-quality text, graphics, etc., in a few seconds.
Today, generative AI models can manipulate biology and predict protein structure and properties. In the life sciences, generative AI is useful for developing innovative protein-based small-molecule therapeutics. Broadly, it is used in drug discovery, healthcare privacy, personalized medicine, medical imaging, prosthetic design, population health management, and other applications.
Generative AI applications are expanding in various functional areas within biopharmaceutical companies, and recent technological advancements have further expanded their boundaries. Growing demand for advanced solutions has led to an increase in the adoption of generative AI in the life sciences sector. Also, major organizations’ high investment in the healthcare sector will likely aid the market’s expansion throughout the projected period.
Driving Factors
Rising prevalence of chronic diseases
Chronic diseases are becoming a serious concern all over the world. According to National Health Council (NHC), around 133 million Americans, more than 40% of the country’s population, are affected due to various chronic diseases. By 2020, that number is expected to rise to around 157 million, of which 81 million have multiple ailments. Also, about 8% of children aged 5 to 17 have at least one chronic illness or disability that limits their activities. More and more people are suffering from more than one chronic disease.
Moreover, nearly one-third of the population suffers due to multiple chronic diseases. In 2009, 7 out of 10 deaths in the United States were due to chronic diseases. Major chronic diseases like cardiovascular, neurological diseases, cancer, etc., account for more than half of all deaths yearly. Thus, an increase in the prevalence of chronic diseases is likely to drive the demand for advanced solutions like generative AI, which can be beneficial for treating these diseases, as the technology is useful in drug discovery, clinical trials, medical diagnostic applications, etc.
Digital Transformation of the Life Sciences Sector
Leading pharmaceutical companies worldwide are emphasizing digital transformation as an innovative way of resolving their critical issues due to rising costs and stringent regulations. This has led to increased investment in advanced technologies by pharma and biotech companies. Also, due to the implementation of various technological initiatives, generative AI and machine learning are gaining momentum in the pharmaceutical industry.
To achieve better results and enhance productivity, various life science organizations have started to utilize these technologies due to implementing these strategic initiatives. It will likely positively impact the adoption of generative AI, a key factor expected to boost the market’s growth over the forecast period.
Role of Generative AI in Personalized Healthcare
Over the years, various thorough and elaborative studies have been initiated globally by several life science organizations in studying how digital technologies like predictive analytics and machine learning might play a key role in developing a suitable treatment for a patient’s unique medical history. An optimized treatment process can be developed through these research studies.
Nowadays, medical professionals can use this technology to identify what a patient is suffering from based on their genetics and symptoms, through which they can make more informed decisions. Thus, personalized healthcare can be enhanced through the use of generative AI.
Restraining Factors
Data privacy regulations
The use of generative AI by pharmaceutical marketers should comply with privacy laws such as GDPR in the EU and HIPAA in the US. The HIPAA Privacy Rule, enacted by the United States Department of Health and Human Services (HHS), sets national standards for protecting certain health information. In addition, it establishes a set of national security standards for protecting certain health information stored or transmitted in electronic form.
The Security Rules included under HIPAA protect the Privacy Rules by addressing the technical and non-technical safeguards organizations must implement to protect personal electronic PHI (e-PHI) data. HHS enforces privacy and security regulations with voluntary compliance activities and civil penalties. Thus, stringent data privacy regulations may limit the adoption of the technology, thereby restraining the growth of Generative AI in the Life Sciences market.
Technical issues
With respect to security, some individuals use generative AI for unethical purposes like deceiving others. This is a serious concern in the healthcare sector, as life sciences research involves sensitive medical information and patients’ private data. Additionally, there are some unexpected results due to an unrealistic use of the technology. Managing the behavior of some generative AI models, such as GANs, can be tedious.
They exhibit erratic behavior and produce unexpected results. Generative AI algorithms require large amounts of training data to complete their tasks. However, GANs cannot generate completely original images and messages. They’re just mixing up what they already know in different ways. Therefore, these technical issues are expected to negatively affect the growth of the market during the estimated time period.
Lack of skilled professionals in emerging nations
Despite high economic growth, many developing nations in the Asia Pacific and Latin America are experiencing severe shortages of essential workers and skilled professionals. According to the Talent Shortage Survey from global staffing firm ManpowerGroup, 45% of employers in the Asia-Pacific region could not fill vacancies due to talent shortages. In India, that number rose to 61% of employers, while 68% were having trouble recruiting the right workforce in Brazil. Developing countries also lack sufficient resources to acquire the tools to build modern skills. There are also difficult numbers: In the case of the two fastest-growing emerging economies in the world, Turkey and Brazil, nearly 10% of all firms say an uneducated workforce is the main obstacle to growth. Thus, a reasonable shortage of essential workers and skilled professionals is projected to impact negatively.
COVID-19 Impact Analysis
The COVID-19 pandemic has disrupted many operations in the life sciences sector like manufacturing and marketing of medicines and medical devices etc. But, regardless of several challenges created by the pandemic, the life sciences and pharmaceutical sectors have grown to a significant extent during this time period.
The pandemic has re-emphasized the importance of efficient therapeutics in treating several chronic diseases and comorbidities, which were a major cause of COVID-19 fatalities worldwide. It has shifted the attention of several healthcare researchers in developing advanced therapeutics, leading to a rise in demand for technologically advanced solutions. Also, due to high investment by governments and private institutions in the research and development of therapeutics for the treatment of COVID-19, the drug development and research sector has progressed tremendously.
Moreover, during the pandemic, life science research related to the development of new drugs has gained attention to a high extent, leading to the rise in the adoption of generative AI in life sciences. It is anticipated to impact the market growth positively. Moreover, technological advancements and the implementation of key strategic initiatives will likely provide significant growth opportunities for key market players during the estimated time period.
By Technology Analysis
The Novel molecule generation segment is expected to lead the market
Generative AI models can be used to design new molecules similar to drugs. These molecules are designed with crucial properties such as high binding affinity. It is important in targeting proteins and maintaining low toxicity. This has led to a rising demand for advanced technologies like generative AI.
Also, the protein sequence design segment will likely grow rapidly during the forecast period. Using generative AI, new protein sequences are designed with specific functions or characteristics, which helps develop new drugs for treating rare genetic diseases.
By Application Analysis
The Drug Discovery application is expected to witness the highest growth.
The increasing prevalence of various chronic and genetic diseases is a major driver of growth in pharmaceutical research and development investments. Leading pharmaceutical and biotechnology companies constantly focus on drug discovery to develop new and innovative medicines to treat various chronic diseases such as cancer, diabetes, cardiovascular disease, musculoskeletal disorders, etc. It is a key factor driving the demand for generative AI for the drug discovery process.
The clinical trials segment is projected to grow rapidly during the estimated time period. Increased drug discovery activity has led to more clinical trials, generating vast data. The generation of such large amounts of data and the increasing availability of this data in the public domain have accelerated the adoption of generative AI in various academic as well as research institutions. It is expected to drive the segment growth during the projected time period.
Key Market Segments
By Technology
- Novel molecule generation
- Protein sequence design
- Synthetic gene design
- Single-cell RNA sequencing
- Data augmentation for model training
- Other technologies
By Application
- Drug Discovery
- Biotechnology
- Medical Diagnosis
- Clinical Trials
- Precision and Personalized Medicine
- Patient Monitoring
Opportunity
Healthcare investments by developing nations are likely to present lucrative growth opportunities for the market.
Over the years, there has been a high development in the life sciences and healthcare sector among developing countries, particularly in the Asia Pacific and Latin America. Many countries in these regions focus on investing to a great extent in the healthcare sector. According to the latest issue of China Briefing Magazine, overall healthcare spending represented around 16% of China’s total overall spending for all sectors during the first half of 2020.
The life sciences and healthcare sector generated a revenue of approximately RMB 10 trillion in 2021. Also, the Chinese government has prioritized developing the healthcare sector due to the rising geriatric population and increased demand for quality health services. It is creating lucrative opportunities for major players operating in the market.
Trends
Investments in generative AI
According to estimates provided by CB Insights, in 2022, venture capitalists and investors in the United States are likely to invest $2.6 billion in 110 generative AI-focused start-ups. It is a major step towards reducing drug discovery costs and saving time. Thus, rising investments in generative AI by major investors is a promising trend likely to drive the demand for the technology in the upcoming years.
Regional Analysis
The North America region is expected to hold the highest market share of 40% during the forecast period. This growth is due to the growing demand for generative AI technology in almost all life science applications. Additionally, the United States benefits from the presence of several major pharmaceutical and biotechnology companies. Large-scale investments by US-based pharmaceutical companies in drug discovery and clinical trials have created a huge demand for AI in the life sciences.
The United States is largely involved in developing new drugs and is constantly focused on advanced R&D for drug discovery. According to Pharmaceutical Research and Manufacturers of America (PhRMA), various key pharmaceutical companies in the region invest about 19% of their sales in research and development. Also, these pharmaceutical and clinical research companies are increasingly investing in adopting AI technologies that will maintain North America’s dominance in the near future.
The Asia-Pacific region is expected to grow rapidly over the forecast period. Many countries in Asia Pacific region are looking to adopt generative AI-based tools. Also, an increase in the presence of biotech companies is a key factor driving market growth in the region. Also, increasing investments in the healthcare sector by key nations like China, India, Japan, Australia, Malaysia, Indonesia, etc., are expected to generate lucrative growth opportunities for key players operating in the market.
Key Regions and Countries
- North America
- US
- Canada
- Mexico
- Europe
- Germany
- UK
- France
- Italy
- Russia
- Spain
- Rest of Europe
- APAC
- China
- Japan
- South Korea
- India
- Rest of Asia-Pacific
- South America
- Brazil
- Argentina
- Rest of South America
- MEA
- GCC
- South Africa
- Israel
- Rest of MEA
Market Share & Key Players Analysis:
The global Generative AI in the Life Sciences market is reasonably competitive. The market is growing gradually due to the increasing demand for technologically-advanced solutions like generative AI for treating chronic diseases. Also, strategic investments in technology by governments as well as private organizations are one of the main factors boosting competition among major industry players. Additionally, technologically advanced product launch solutions will likely positively impact market expansion.
Top Key Players in Market
- IBM Corporation
- AiCure LLC
- MosaicML
- NVIDIA
- Insilico Medicine Inc.
- Writer
- HealthArk
- Other Key Players
Recent Development
Mentioned below are some of the latest developments by key players in the Generative AI in the Life Sciences Market:
- April 23: Insilico Medicine used a structure-based generative chemistry approach enabled by the multimodal generative reinforcement learning platform Chemistry42 to develop a potent, selective, and orally bioavailable small molecule inhibitor of CDK8 for cancer treatment.
- April 23: NVIDIA, in partnership with a Japanese company, Mitsui, launched a supercomputer named Tokyo-1, which features 16 NVIDIA DGX H100 AI systems. Tokyo-1 is a component of the NGX, the company’s AI platform, created to generate AI models for accelerated drug discovery.
Report Scope
Report Features Description Market Value (2022) USD 155.7 Mn Forecast Revenue (2032) USD 947 Mn CAGR (2023-2032) 20.35% 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- Novel molecule generation, Protein sequence design, Synthetic gene design, Single-cell RNA sequencing, Data augmentation for model training, and other technologies, and by Application- Drug Discovery, Biotechnology, Medical Diagnosis, Clinical Trials, Precision, and Personalized Medicine, Patient Monitoring 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; the Middle East & Africa – Algeria, Egypt, Israel, Kuwait, Nigeria, Saudi Arabia, South Africa, Turkey, United Arab Emirates, & Rest of MEA Competitive Landscape IBM Corporation, AiCure LLC, MosaicML, NVIDIA, Insilico Medicine Inc., Writer, HealthArk, and 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) - IBM Corporation
- AiCure LLC
- MosaicML
- NVIDIA
- Insilico Medicine Inc.
- Writer
- HealthArk
- 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 Global Generative AI in Life Sciences Market Overview
- 2.1. Global Generative AI in Life Sciences 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. Global Generative AI in Life Sciences Market Dynamics
- 3. Global Global Generative AI in Life Sciences Market Analysis, Opportunity and Forecast, 2016-2032
- 3.1. Global Global Generative AI in Life Sciences Market Analysis, 2016-2021
- 3.2. Global Global Generative AI in Life Sciences Market Opportunity and Forecast, 2023-2032
- 3.3. Global Global Generative AI in Life Sciences Market Analysis, Opportunity and Forecast, By Technology, 2016-2032
- 3.3.1. Global Global Generative AI in Life Sciences Market Analysis by Technology: Introduction
- 3.3.2. Market Size Absolute $ Opportunity Analysis and Forecast, By Technology, 2016-2032
- 3.3.3. Novel molecule generation
- 3.3.4. Protein sequence design
- 3.3.5. Synthetic gene design
- 3.3.6. Single-cell RNA sequencing
- 3.3.7. Data augmentation for model training
- 3.3.8. Other technologies
- 3.4. Global Global Generative AI in Life Sciences Market Analysis, Opportunity and Forecast, By Application, 2016-2032
- 3.4.1. Global Global Generative AI in Life Sciences Market Analysis by Application: Introduction
- 3.4.2. Market Size Absolute $ Opportunity Analysis and Forecast, By Application, 2016-2032
- 3.4.3. Drug Discovery
- 3.4.4. Biotechnology
- 3.4.5. Medical Diagnosis
- 3.4.6. Clinical Trials
- 3.4.7. Precision and Personalized Medicine
- 3.4.8. Patient Monitoring
- 4. North America Global Generative AI in Life Sciences Market Analysis, Opportunity and Forecast, 2016-2032
- 4.1. North America Global Generative AI in Life Sciences Market Analysis, 2016-2021
- 4.2. North America Global Generative AI in Life Sciences Market Opportunity and Forecast, 2023-2032
- 4.3. North America Global Generative AI in Life Sciences Market Analysis, Opportunity and Forecast, By Technology, 2016-2032
- 4.3.1. North America Global Generative AI in Life Sciences Market Analysis by Technology: Introduction
- 4.3.2. Market Size Absolute $ Opportunity Analysis and Forecast, By Technology, 2016-2032
- 4.3.3. Novel molecule generation
- 4.3.4. Protein sequence design
- 4.3.5. Synthetic gene design
- 4.3.6. Single-cell RNA sequencing
- 4.3.7. Data augmentation for model training
- 4.3.8. Other technologies
- 4.4. North America Global Generative AI in Life Sciences Market Analysis, Opportunity and Forecast, By Application, 2016-2032
- 4.4.1. North America Global Generative AI in Life Sciences Market Analysis by Application: Introduction
- 4.4.2. Market Size Absolute $ Opportunity Analysis and Forecast, By Application, 2016-2032
- 4.4.3. Drug Discovery
- 4.4.4. Biotechnology
- 4.4.5. Medical Diagnosis
- 4.4.6. Clinical Trials
- 4.4.7. Precision and Personalized Medicine
- 4.4.8. Patient Monitoring
- 4.5. North America Global Generative AI in Life Sciences Market Analysis, Opportunity and Forecast, By Country , 2016-2032
- 4.5.1. North America Global Generative AI in Life Sciences Market Analysis by Country : Introduction
- 4.5.2. Market Size Absolute $ Opportunity Analysis and Forecast, Country , 2016-2032
- 4.5.2.1. The US
- 4.5.2.2. Canada
- 4.5.2.3. Mexico
- 5. Western Europe Global Generative AI in Life Sciences Market Analysis, Opportunity and Forecast, 2016-2032
- 5.1. Western Europe Global Generative AI in Life Sciences Market Analysis, 2016-2021
- 5.2. Western Europe Global Generative AI in Life Sciences Market Opportunity and Forecast, 2023-2032
- 5.3. Western Europe Global Generative AI in Life Sciences Market Analysis, Opportunity and Forecast, By Technology, 2016-2032
- 5.3.1. Western Europe Global Generative AI in Life Sciences Market Analysis by Technology: Introduction
- 5.3.2. Market Size Absolute $ Opportunity Analysis and Forecast, By Technology, 2016-2032
- 5.3.3. Novel molecule generation
- 5.3.4. Protein sequence design
- 5.3.5. Synthetic gene design
- 5.3.6. Single-cell RNA sequencing
- 5.3.7. Data augmentation for model training
- 5.3.8. Other technologies
- 5.4. Western Europe Global Generative AI in Life Sciences Market Analysis, Opportunity and Forecast, By Application, 2016-2032
- 5.4.1. Western Europe Global Generative AI in Life Sciences Market Analysis by Application: Introduction
- 5.4.2. Market Size Absolute $ Opportunity Analysis and Forecast, By Application, 2016-2032
- 5.4.3. Drug Discovery
- 5.4.4. Biotechnology
- 5.4.5. Medical Diagnosis
- 5.4.6. Clinical Trials
- 5.4.7. Precision and Personalized Medicine
- 5.4.8. Patient Monitoring
- 5.5. Western Europe Global Generative AI in Life Sciences Market Analysis, Opportunity and Forecast, By Country , 2016-2032
- 5.5.1. Western Europe Global Generative AI in Life Sciences Market Analysis by Country : Introduction
- 5.5.2. Market Size Absolute $ Opportunity Analysis and Forecast, Country , 2016-2032
- 5.5.2.1. Germany
- 5.5.2.2. France
- 5.5.2.3. The UK
- 5.5.2.4. Spain
- 5.5.2.5. Italy
- 5.5.2.6. Portugal
- 5.5.2.7. Ireland
- 5.5.2.8. Austria
- 5.5.2.9. Switzerland
- 5.5.2.10. Benelux
- 5.5.2.11. Nordic
- 5.5.2.12. Rest of Western Europe
- 6. Eastern Europe Global Generative AI in Life Sciences Market Analysis, Opportunity and Forecast, 2016-2032
- 6.1. Eastern Europe Global Generative AI in Life Sciences Market Analysis, 2016-2021
- 6.2. Eastern Europe Global Generative AI in Life Sciences Market Opportunity and Forecast, 2023-2032
- 6.3. Eastern Europe Global Generative AI in Life Sciences Market Analysis, Opportunity and Forecast, By Technology, 2016-2032
- 6.3.1. Eastern Europe Global Generative AI in Life Sciences Market Analysis by Technology: Introduction
- 6.3.2. Market Size Absolute $ Opportunity Analysis and Forecast, By Technology, 2016-2032
- 6.3.3. Novel molecule generation
- 6.3.4. Protein sequence design
- 6.3.5. Synthetic gene design
- 6.3.6. Single-cell RNA sequencing
- 6.3.7. Data augmentation for model training
- 6.3.8. Other technologies
- 6.4. Eastern Europe Global Generative AI in Life Sciences Market Analysis, Opportunity and Forecast, By Application, 2016-2032
- 6.4.1. Eastern Europe Global Generative AI in Life Sciences Market Analysis by Application: Introduction
- 6.4.2. Market Size Absolute $ Opportunity Analysis and Forecast, By Application, 2016-2032
- 6.4.3. Drug Discovery
- 6.4.4. Biotechnology
- 6.4.5. Medical Diagnosis
- 6.4.6. Clinical Trials
- 6.4.7. Precision and Personalized Medicine
- 6.4.8. Patient Monitoring
- 6.5. Eastern Europe Global Generative AI in Life Sciences Market Analysis, Opportunity and Forecast, By Country , 2016-2032
- 6.5.1. Eastern Europe Global Generative AI in Life Sciences Market Analysis by Country : Introduction
- 6.5.2. Market Size Absolute $ Opportunity Analysis and Forecast, Country , 2016-2032
- 6.5.2.1. Russia
- 6.5.2.2. Poland
- 6.5.2.3. The Czech Republic
- 6.5.2.4. Greece
- 6.5.2.5. Rest of Eastern Europe
- 7. APAC Global Generative AI in Life Sciences Market Analysis, Opportunity and Forecast, 2016-2032
- 7.1. APAC Global Generative AI in Life Sciences Market Analysis, 2016-2021
- 7.2. APAC Global Generative AI in Life Sciences Market Opportunity and Forecast, 2023-2032
- 7.3. APAC Global Generative AI in Life Sciences Market Analysis, Opportunity and Forecast, By Technology, 2016-2032
- 7.3.1. APAC Global Generative AI in Life Sciences Market Analysis by Technology: Introduction
- 7.3.2. Market Size Absolute $ Opportunity Analysis and Forecast, By Technology, 2016-2032
- 7.3.3. Novel molecule generation
- 7.3.4. Protein sequence design
- 7.3.5. Synthetic gene design
- 7.3.6. Single-cell RNA sequencing
- 7.3.7. Data augmentation for model training
- 7.3.8. Other technologies
- 7.4. APAC Global Generative AI in Life Sciences Market Analysis, Opportunity and Forecast, By Application, 2016-2032
- 7.4.1. APAC Global Generative AI in Life Sciences Market Analysis by Application: Introduction
- 7.4.2. Market Size Absolute $ Opportunity Analysis and Forecast, By Application, 2016-2032
- 7.4.3. Drug Discovery
- 7.4.4. Biotechnology
- 7.4.5. Medical Diagnosis
- 7.4.6. Clinical Trials
- 7.4.7. Precision and Personalized Medicine
- 7.4.8. Patient Monitoring
- 7.5. APAC Global Generative AI in Life Sciences Market Analysis, Opportunity and Forecast, By Country , 2016-2032
- 7.5.1. APAC Global Generative AI in Life Sciences Market Analysis by Country : Introduction
- 7.5.2. Market Size Absolute $ Opportunity Analysis and Forecast, Country , 2016-2032
- 7.5.2.1. China
- 7.5.2.2. Japan
- 7.5.2.3. South Korea
- 7.5.2.4. India
- 7.5.2.5. Australia & New Zeland
- 7.5.2.6. Indonesia
- 7.5.2.7. Malaysia
- 7.5.2.8. Philippines
- 7.5.2.9. Singapore
- 7.5.2.10. Thailand
- 7.5.2.11. Vietnam
- 7.5.2.12. Rest of APAC
- 8. Latin America Global Generative AI in Life Sciences Market Analysis, Opportunity and Forecast, 2016-2032
- 8.1. Latin America Global Generative AI in Life Sciences Market Analysis, 2016-2021
- 8.2. Latin America Global Generative AI in Life Sciences Market Opportunity and Forecast, 2023-2032
- 8.3. Latin America Global Generative AI in Life Sciences Market Analysis, Opportunity and Forecast, By Technology, 2016-2032
- 8.3.1. Latin America Global Generative AI in Life Sciences Market Analysis by Technology: Introduction
- 8.3.2. Market Size Absolute $ Opportunity Analysis and Forecast, By Technology, 2016-2032
- 8.3.3. Novel molecule generation
- 8.3.4. Protein sequence design
- 8.3.5. Synthetic gene design
- 8.3.6. Single-cell RNA sequencing
- 8.3.7. Data augmentation for model training
- 8.3.8. Other technologies
- 8.4. Latin America Global Generative AI in Life Sciences Market Analysis, Opportunity and Forecast, By Application, 2016-2032
- 8.4.1. Latin America Global Generative AI in Life Sciences Market Analysis by Application: Introduction
- 8.4.2. Market Size Absolute $ Opportunity Analysis and Forecast, By Application, 2016-2032
- 8.4.3. Drug Discovery
- 8.4.4. Biotechnology
- 8.4.5. Medical Diagnosis
- 8.4.6. Clinical Trials
- 8.4.7. Precision and Personalized Medicine
- 8.4.8. Patient Monitoring
- 8.5. Latin America Global Generative AI in Life Sciences Market Analysis, Opportunity and Forecast, By Country , 2016-2032
- 8.5.1. Latin America Global Generative AI in Life Sciences Market Analysis by Country : Introduction
- 8.5.2. Market Size Absolute $ Opportunity Analysis and Forecast, Country , 2016-2032
- 8.5.2.1. Brazil
- 8.5.2.2. Colombia
- 8.5.2.3. Chile
- 8.5.2.4. Argentina
- 8.5.2.5. Costa Rica
- 8.5.2.6. Rest of Latin America
- 9. Middle East & Africa Global Generative AI in Life Sciences Market Analysis, Opportunity and Forecast, 2016-2032
- 9.1. Middle East & Africa Global Generative AI in Life Sciences Market Analysis, 2016-2021
- 9.2. Middle East & Africa Global Generative AI in Life Sciences Market Opportunity and Forecast, 2023-2032
- 9.3. Middle East & Africa Global Generative AI in Life Sciences Market Analysis, Opportunity and Forecast, By Technology, 2016-2032
- 9.3.1. Middle East & Africa Global Generative AI in Life Sciences Market Analysis by Technology: Introduction
- 9.3.2. Market Size Absolute $ Opportunity Analysis and Forecast, By Technology, 2016-2032
- 9.3.3. Novel molecule generation
- 9.3.4. Protein sequence design
- 9.3.5. Synthetic gene design
- 9.3.6. Single-cell RNA sequencing
- 9.3.7. Data augmentation for model training
- 9.3.8. Other technologies
- 9.4. Middle East & Africa Global Generative AI in Life Sciences Market Analysis, Opportunity and Forecast, By Application, 2016-2032
- 9.4.1. Middle East & Africa Global Generative AI in Life Sciences Market Analysis by Application: Introduction
- 9.4.2. Market Size Absolute $ Opportunity Analysis and Forecast, By Application, 2016-2032
- 9.4.3. Drug Discovery
- 9.4.4. Biotechnology
- 9.4.5. Medical Diagnosis
- 9.4.6. Clinical Trials
- 9.4.7. Precision and Personalized Medicine
- 9.4.8. Patient Monitoring
- 9.5. Middle East & Africa Global Generative AI in Life Sciences Market Analysis, Opportunity and Forecast, By Country , 2016-2032
- 9.5.1. Middle East & Africa Global Generative AI in Life Sciences Market Analysis by Country : Introduction
- 9.5.2. Market Size Absolute $ Opportunity Analysis and Forecast, Country , 2016-2032
- 9.5.2.1. Algeria
- 9.5.2.2. Egypt
- 9.5.2.3. Israel
- 9.5.2.4. Kuwait
- 9.5.2.5. Nigeria
- 9.5.2.6. Saudi Arabia
- 9.5.2.7. South Africa
- 9.5.2.8. Turkey
- 9.5.2.9. The UAE
- 9.5.2.10. Rest of MEA
- 10. Global Global Generative AI in Life Sciences Market Analysis, Opportunity and Forecast, By Region , 2016-2032
- 10.1. Global Global Generative AI in Life Sciences 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 Global Generative AI in Life Sciences Market Competitive Landscape, Market Share Analysis, and Company Profiles
- 11.1. Market Share Analysis
- 11.2. Company Profiles
- 11.3. IBM Corporation
- 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. AiCure LLC
- 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. MosaicML
- 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. NVIDIA
- 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. Insilico Medicine Inc.
- 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. Writer
- 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. HealthArk
- 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. Other Key Players
- 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
- 12. Assumptions and Acronyms
- 13. Research Methodology
- 14. Contact
- Figure 1: Global Global Generative AI in Life Sciences Market Revenue (US$ Mn) Market Share by Technology in 2022
- Figure 2: Global Global Generative AI in Life Sciences Market Attractiveness Analysis by Technology, 2016-2032
- Figure 3: Global Global Generative AI in Life Sciences Market Revenue (US$ Mn) Market Share by Applicationin 2022
- Figure 4: Global Global Generative AI in Life Sciences Market Attractiveness Analysis by Application, 2016-2032
- Figure 5: Global Global Generative AI in Life Sciences Market Revenue (US$ Mn) Market Share by Region in 2022
- Figure 6: Global Global Generative AI in Life Sciences Market Attractiveness Analysis by Region, 2016-2032
- Figure 7: Global Global Generative AI in Life Sciences Market Revenue (US$ Mn) (2016-2032)
- Figure 8: Global Global Generative AI in Life Sciences Market Revenue (US$ Mn) Comparison by Region (2016-2032)
- Figure 9: Global Global Generative AI in Life Sciences Market Revenue (US$ Mn) Comparison by Technology (2016-2032)
- Figure 10: Global Global Generative AI in Life Sciences Market Revenue (US$ Mn) Comparison by Application (2016-2032)
- Figure 11: Global Global Generative AI in Life Sciences Market Y-o-Y Growth Rate Comparison by Region (2016-2032)
- Figure 12: Global Global Generative AI in Life Sciences Market Y-o-Y Growth Rate Comparison by Technology (2016-2032)
- Figure 13: Global Global Generative AI in Life Sciences Market Y-o-Y Growth Rate Comparison by Application (2016-2032)
- Figure 14: Global Global Generative AI in Life Sciences Market Share Comparison by Region (2016-2032)
- Figure 15: Global Global Generative AI in Life Sciences Market Share Comparison by Technology (2016-2032)
- Figure 16: Global Global Generative AI in Life Sciences Market Share Comparison by Application (2016-2032)
- Figure 17: North America Global Generative AI in Life Sciences Market Revenue (US$ Mn) Market Share by Technologyin 2022
- Figure 18: North America Global Generative AI in Life Sciences Market Attractiveness Analysis by Technology, 2016-2032
- Figure 19: North America Global Generative AI in Life Sciences Market Revenue (US$ Mn) Market Share by Applicationin 2022
- Figure 20: North America Global Generative AI in Life Sciences Market Attractiveness Analysis by Application, 2016-2032
- Figure 21: North America Global Generative AI in Life Sciences Market Revenue (US$ Mn) Market Share by Country in 2022
- Figure 22: North America Global Generative AI in Life Sciences Market Attractiveness Analysis by Country, 2016-2032
- Figure 23: North America Global Generative AI in Life Sciences Market Revenue (US$ Mn) (2016-2032)
- Figure 24: North America Global Generative AI in Life Sciences Market Revenue (US$ Mn) Comparison by Country (2016-2032)
- Figure 25: North America Global Generative AI in Life Sciences Market Revenue (US$ Mn) Comparison by Technology (2016-2032)
- Figure 26: North America Global Generative AI in Life Sciences Market Revenue (US$ Mn) Comparison by Application (2016-2032)
- Figure 27: North America Global Generative AI in Life Sciences Market Y-o-Y Growth Rate Comparison by Country (2016-2032)
- Figure 28: North America Global Generative AI in Life Sciences Market Y-o-Y Growth Rate Comparison by Technology (2016-2032)
- Figure 29: North America Global Generative AI in Life Sciences Market Y-o-Y Growth Rate Comparison by Application (2016-2032)
- Figure 30: North America Global Generative AI in Life Sciences Market Share Comparison by Country (2016-2032)
- Figure 31: North America Global Generative AI in Life Sciences Market Share Comparison by Technology (2016-2032)
- Figure 32: North America Global Generative AI in Life Sciences Market Share Comparison by Application (2016-2032)
- Figure 33: Western Europe Global Generative AI in Life Sciences Market Revenue (US$ Mn) Market Share by Technologyin 2022
- Figure 34: Western Europe Global Generative AI in Life Sciences Market Attractiveness Analysis by Technology, 2016-2032
- Figure 35: Western Europe Global Generative AI in Life Sciences Market Revenue (US$ Mn) Market Share by Applicationin 2022
- Figure 36: Western Europe Global Generative AI in Life Sciences Market Attractiveness Analysis by Application, 2016-2032
- Figure 37: Western Europe Global Generative AI in Life Sciences Market Revenue (US$ Mn) Market Share by Country in 2022
- Figure 38: Western Europe Global Generative AI in Life Sciences Market Attractiveness Analysis by Country, 2016-2032
- Figure 39: Western Europe Global Generative AI in Life Sciences Market Revenue (US$ Mn) (2016-2032)
- Figure 40: Western Europe Global Generative AI in Life Sciences Market Revenue (US$ Mn) Comparison by Country (2016-2032)
- Figure 41: Western Europe Global Generative AI in Life Sciences Market Revenue (US$ Mn) Comparison by Technology (2016-2032)
- Figure 42: Western Europe Global Generative AI in Life Sciences Market Revenue (US$ Mn) Comparison by Application (2016-2032)
- Figure 43: Western Europe Global Generative AI in Life Sciences Market Y-o-Y Growth Rate Comparison by Country (2016-2032)
- Figure 44: Western Europe Global Generative AI in Life Sciences Market Y-o-Y Growth Rate Comparison by Technology (2016-2032)
- Figure 45: Western Europe Global Generative AI in Life Sciences Market Y-o-Y Growth Rate Comparison by Application (2016-2032)
- Figure 46: Western Europe Global Generative AI in Life Sciences Market Share Comparison by Country (2016-2032)
- Figure 47: Western Europe Global Generative AI in Life Sciences Market Share Comparison by Technology (2016-2032)
- Figure 48: Western Europe Global Generative AI in Life Sciences Market Share Comparison by Application (2016-2032)
- Figure 49: Eastern Europe Global Generative AI in Life Sciences Market Revenue (US$ Mn) Market Share by Technologyin 2022
- Figure 50: Eastern Europe Global Generative AI in Life Sciences Market Attractiveness Analysis by Technology, 2016-2032
- Figure 51: Eastern Europe Global Generative AI in Life Sciences Market Revenue (US$ Mn) Market Share by Applicationin 2022
- Figure 52: Eastern Europe Global Generative AI in Life Sciences Market Attractiveness Analysis by Application, 2016-2032
- Figure 53: Eastern Europe Global Generative AI in Life Sciences Market Revenue (US$ Mn) Market Share by Country in 2022
- Figure 54: Eastern Europe Global Generative AI in Life Sciences Market Attractiveness Analysis by Country, 2016-2032
- Figure 55: Eastern Europe Global Generative AI in Life Sciences Market Revenue (US$ Mn) (2016-2032)
- Figure 56: Eastern Europe Global Generative AI in Life Sciences Market Revenue (US$ Mn) Comparison by Country (2016-2032)
- Figure 57: Eastern Europe Global Generative AI in Life Sciences Market Revenue (US$ Mn) Comparison by Technology (2016-2032)
- Figure 58: Eastern Europe Global Generative AI in Life Sciences Market Revenue (US$ Mn) Comparison by Application (2016-2032)
- Figure 59: Eastern Europe Global Generative AI in Life Sciences Market Y-o-Y Growth Rate Comparison by Country (2016-2032)
- Figure 60: Eastern Europe Global Generative AI in Life Sciences Market Y-o-Y Growth Rate Comparison by Technology (2016-2032)
- Figure 61: Eastern Europe Global Generative AI in Life Sciences Market Y-o-Y Growth Rate Comparison by Application (2016-2032)
- Figure 62: Eastern Europe Global Generative AI in Life Sciences Market Share Comparison by Country (2016-2032)
- Figure 63: Eastern Europe Global Generative AI in Life Sciences Market Share Comparison by Technology (2016-2032)
- Figure 64: Eastern Europe Global Generative AI in Life Sciences Market Share Comparison by Application (2016-2032)
- Figure 65: APAC Global Generative AI in Life Sciences Market Revenue (US$ Mn) Market Share by Technologyin 2022
- Figure 66: APAC Global Generative AI in Life Sciences Market Attractiveness Analysis by Technology, 2016-2032
- Figure 67: APAC Global Generative AI in Life Sciences Market Revenue (US$ Mn) Market Share by Applicationin 2022
- Figure 68: APAC Global Generative AI in Life Sciences Market Attractiveness Analysis by Application, 2016-2032
- Figure 69: APAC Global Generative AI in Life Sciences Market Revenue (US$ Mn) Market Share by Country in 2022
- Figure 70: APAC Global Generative AI in Life Sciences Market Attractiveness Analysis by Country, 2016-2032
- Figure 71: APAC Global Generative AI in Life Sciences Market Revenue (US$ Mn) (2016-2032)
- Figure 72: APAC Global Generative AI in Life Sciences Market Revenue (US$ Mn) Comparison by Country (2016-2032)
- Figure 73: APAC Global Generative AI in Life Sciences Market Revenue (US$ Mn) Comparison by Technology (2016-2032)
- Figure 74: APAC Global Generative AI in Life Sciences Market Revenue (US$ Mn) Comparison by Application (2016-2032)
- Figure 75: APAC Global Generative AI in Life Sciences Market Y-o-Y Growth Rate Comparison by Country (2016-2032)
- Figure 76: APAC Global Generative AI in Life Sciences Market Y-o-Y Growth Rate Comparison by Technology (2016-2032)
- Figure 77: APAC Global Generative AI in Life Sciences Market Y-o-Y Growth Rate Comparison by Application (2016-2032)
- Figure 78: APAC Global Generative AI in Life Sciences Market Share Comparison by Country (2016-2032)
- Figure 79: APAC Global Generative AI in Life Sciences Market Share Comparison by Technology (2016-2032)
- Figure 80: APAC Global Generative AI in Life Sciences Market Share Comparison by Application (2016-2032)
- Figure 81: Latin America Global Generative AI in Life Sciences Market Revenue (US$ Mn) Market Share by Technologyin 2022
- Figure 82: Latin America Global Generative AI in Life Sciences Market Attractiveness Analysis by Technology, 2016-2032
- Figure 83: Latin America Global Generative AI in Life Sciences Market Revenue (US$ Mn) Market Share by Applicationin 2022
- Figure 84: Latin America Global Generative AI in Life Sciences Market Attractiveness Analysis by Application, 2016-2032
- Figure 85: Latin America Global Generative AI in Life Sciences Market Revenue (US$ Mn) Market Share by Country in 2022
- Figure 86: Latin America Global Generative AI in Life Sciences Market Attractiveness Analysis by Country, 2016-2032
- Figure 87: Latin America Global Generative AI in Life Sciences Market Revenue (US$ Mn) (2016-2032)
- Figure 88: Latin America Global Generative AI in Life Sciences Market Revenue (US$ Mn) Comparison by Country (2016-2032)
- Figure 89: Latin America Global Generative AI in Life Sciences Market Revenue (US$ Mn) Comparison by Technology (2016-2032)
- Figure 90: Latin America Global Generative AI in Life Sciences Market Revenue (US$ Mn) Comparison by Application (2016-2032)
- Figure 91: Latin America Global Generative AI in Life Sciences Market Y-o-Y Growth Rate Comparison by Country (2016-2032)
- Figure 92: Latin America Global Generative AI in Life Sciences Market Y-o-Y Growth Rate Comparison by Technology (2016-2032)
- Figure 93: Latin America Global Generative AI in Life Sciences Market Y-o-Y Growth Rate Comparison by Application (2016-2032)
- Figure 94: Latin America Global Generative AI in Life Sciences Market Share Comparison by Country (2016-2032)
- Figure 95: Latin America Global Generative AI in Life Sciences Market Share Comparison by Technology (2016-2032)
- Figure 96: Latin America Global Generative AI in Life Sciences Market Share Comparison by Application (2016-2032)
- Figure 97: Middle East & Africa Global Generative AI in Life Sciences Market Revenue (US$ Mn) Market Share by Technologyin 2022
- Figure 98: Middle East & Africa Global Generative AI in Life Sciences Market Attractiveness Analysis by Technology, 2016-2032
- Figure 99: Middle East & Africa Global Generative AI in Life Sciences Market Revenue (US$ Mn) Market Share by Applicationin 2022
- Figure 100: Middle East & Africa Global Generative AI in Life Sciences Market Attractiveness Analysis by Application, 2016-2032
- Figure 101: Middle East & Africa Global Generative AI in Life Sciences Market Revenue (US$ Mn) Market Share by Country in 2022
- Figure 102: Middle East & Africa Global Generative AI in Life Sciences Market Attractiveness Analysis by Country, 2016-2032
- Figure 103: Middle East & Africa Global Generative AI in Life Sciences Market Revenue (US$ Mn) (2016-2032)
- Figure 104: Middle East & Africa Global Generative AI in Life Sciences Market Revenue (US$ Mn) Comparison by Country (2016-2032)
- Figure 105: Middle East & Africa Global Generative AI in Life Sciences Market Revenue (US$ Mn) Comparison by Technology (2016-2032)
- Figure 106: Middle East & Africa Global Generative AI in Life Sciences Market Revenue (US$ Mn) Comparison by Application (2016-2032)
- Figure 107: Middle East & Africa Global Generative AI in Life Sciences Market Y-o-Y Growth Rate Comparison by Country (2016-2032)
- Figure 108: Middle East & Africa Global Generative AI in Life Sciences Market Y-o-Y Growth Rate Comparison by Technology (2016-2032)
- Figure 109: Middle East & Africa Global Generative AI in Life Sciences Market Y-o-Y Growth Rate Comparison by Application (2016-2032)
- Figure 110: Middle East & Africa Global Generative AI in Life Sciences Market Share Comparison by Country (2016-2032)
- Figure 111: Middle East & Africa Global Generative AI in Life Sciences Market Share Comparison by Technology (2016-2032)
- Figure 112: Middle East & Africa Global Generative AI in Life Sciences Market Share Comparison by Application (2016-2032)
- Table 1: Global Global Generative AI in Life Sciences Market Comparison by Technology (2016-2032)
- Table 2: Global Global Generative AI in Life Sciences Market Comparison by Application (2016-2032)
- Table 3: Global Global Generative AI in Life Sciences Market Revenue (US$ Mn) Comparison by Region (2016-2032)
- Table 4: Global Global Generative AI in Life Sciences Market Revenue (US$ Mn) (2016-2032)
- Table 5: Global Global Generative AI in Life Sciences Market Revenue (US$ Mn) Comparison by Region (2016-2032)
- Table 6: Global Global Generative AI in Life Sciences Market Revenue (US$ Mn) Comparison by Technology (2016-2032)
- Table 7: Global Global Generative AI in Life Sciences Market Revenue (US$ Mn) Comparison by Application (2016-2032)
- Table 8: Global Global Generative AI in Life Sciences Market Y-o-Y Growth Rate Comparison by Region (2016-2032)
- Table 9: Global Global Generative AI in Life Sciences Market Y-o-Y Growth Rate Comparison by Technology (2016-2032)
- Table 10: Global Global Generative AI in Life Sciences Market Y-o-Y Growth Rate Comparison by Application (2016-2032)
- Table 11: Global Global Generative AI in Life Sciences Market Share Comparison by Region (2016-2032)
- Table 12: Global Global Generative AI in Life Sciences Market Share Comparison by Technology (2016-2032)
- Table 13: Global Global Generative AI in Life Sciences Market Share Comparison by Application (2016-2032)
- Table 14: North America Global Generative AI in Life Sciences Market Comparison by Application (2016-2032)
- Table 15: North America Global Generative AI in Life Sciences Market Revenue (US$ Mn) Comparison by Country (2016-2032)
- Table 16: North America Global Generative AI in Life Sciences Market Revenue (US$ Mn) (2016-2032)
- Table 17: North America Global Generative AI in Life Sciences Market Revenue (US$ Mn) Comparison by Country (2016-2032)
- Table 18: North America Global Generative AI in Life Sciences Market Revenue (US$ Mn) Comparison by Technology (2016-2032)
- Table 19: North America Global Generative AI in Life Sciences Market Revenue (US$ Mn) Comparison by Application (2016-2032)
- Table 20: North America Global Generative AI in Life Sciences Market Y-o-Y Growth Rate Comparison by Country (2016-2032)
- Table 21: North America Global Generative AI in Life Sciences Market Y-o-Y Growth Rate Comparison by Technology (2016-2032)
- Table 22: North America Global Generative AI in Life Sciences Market Y-o-Y Growth Rate Comparison by Application (2016-2032)
- Table 23: North America Global Generative AI in Life Sciences Market Share Comparison by Country (2016-2032)
- Table 24: North America Global Generative AI in Life Sciences Market Share Comparison by Technology (2016-2032)
- Table 25: North America Global Generative AI in Life Sciences Market Share Comparison by Application (2016-2032)
- Table 26: Western Europe Global Generative AI in Life Sciences Market Comparison by Technology (2016-2032)
- Table 27: Western Europe Global Generative AI in Life Sciences Market Comparison by Application (2016-2032)
- Table 28: Western Europe Global Generative AI in Life Sciences Market Revenue (US$ Mn) Comparison by Country (2016-2032)
- Table 29: Western Europe Global Generative AI in Life Sciences Market Revenue (US$ Mn) (2016-2032)
- Table 30: Western Europe Global Generative AI in Life Sciences Market Revenue (US$ Mn) Comparison by Country (2016-2032)
- Table 31: Western Europe Global Generative AI in Life Sciences Market Revenue (US$ Mn) Comparison by Technology (2016-2032)
- Table 32: Western Europe Global Generative AI in Life Sciences Market Revenue (US$ Mn) Comparison by Application (2016-2032)
- Table 33: Western Europe Global Generative AI in Life Sciences Market Y-o-Y Growth Rate Comparison by Country (2016-2032)
- Table 34: Western Europe Global Generative AI in Life Sciences Market Y-o-Y Growth Rate Comparison by Technology (2016-2032)
- Table 35: Western Europe Global Generative AI in Life Sciences Market Y-o-Y Growth Rate Comparison by Application (2016-2032)
- Table 36: Western Europe Global Generative AI in Life Sciences Market Share Comparison by Country (2016-2032)
- Table 37: Western Europe Global Generative AI in Life Sciences Market Share Comparison by Technology (2016-2032)
- Table 38: Western Europe Global Generative AI in Life Sciences Market Share Comparison by Application (2016-2032)
- Table 39: Eastern Europe Global Generative AI in Life Sciences Market Comparison by Technology (2016-2032)
- Table 40: Eastern Europe Global Generative AI in Life Sciences Market Comparison by Application (2016-2032)
- Table 41: Eastern Europe Global Generative AI in Life Sciences Market Revenue (US$ Mn) Comparison by Country (2016-2032)
- Table 42: Eastern Europe Global Generative AI in Life Sciences Market Revenue (US$ Mn) (2016-2032)
- Table 43: Eastern Europe Global Generative AI in Life Sciences Market Revenue (US$ Mn) Comparison by Country (2016-2032)
- Table 44: Eastern Europe Global Generative AI in Life Sciences Market Revenue (US$ Mn) Comparison by Technology (2016-2032)
- Table 45: Eastern Europe Global Generative AI in Life Sciences Market Revenue (US$ Mn) Comparison by Application (2016-2032)
- Table 46: Eastern Europe Global Generative AI in Life Sciences Market Y-o-Y Growth Rate Comparison by Country (2016-2032)
- Table 47: Eastern Europe Global Generative AI in Life Sciences Market Y-o-Y Growth Rate Comparison by Technology (2016-2032)
- Table 48: Eastern Europe Global Generative AI in Life Sciences Market Y-o-Y Growth Rate Comparison by Application (2016-2032)
- Table 49: Eastern Europe Global Generative AI in Life Sciences Market Share Comparison by Country (2016-2032)
- Table 50: Eastern Europe Global Generative AI in Life Sciences Market Share Comparison by Technology (2016-2032)
- Table 51: Eastern Europe Global Generative AI in Life Sciences Market Share Comparison by Application (2016-2032)
- Table 52: APAC Global Generative AI in Life Sciences Market Comparison by Technology (2016-2032)
- Table 53: APAC Global Generative AI in Life Sciences Market Comparison by Application (2016-2032)
- Table 54: APAC Global Generative AI in Life Sciences Market Revenue (US$ Mn) Comparison by Country (2016-2032)
- Table 55: APAC Global Generative AI in Life Sciences Market Revenue (US$ Mn) (2016-2032)
- Table 56: APAC Global Generative AI in Life Sciences Market Revenue (US$ Mn) Comparison by Country (2016-2032)
- Table 57: APAC Global Generative AI in Life Sciences Market Revenue (US$ Mn) Comparison by Technology (2016-2032)
- Table 58: APAC Global Generative AI in Life Sciences Market Revenue (US$ Mn) Comparison by Application (2016-2032)
- Table 59: APAC Global Generative AI in Life Sciences Market Y-o-Y Growth Rate Comparison by Country (2016-2032)
- Table 60: APAC Global Generative AI in Life Sciences Market Y-o-Y Growth Rate Comparison by Technology (2016-2032)
- Table 61: APAC Global Generative AI in Life Sciences Market Y-o-Y Growth Rate Comparison by Application (2016-2032)
- Table 62: APAC Global Generative AI in Life Sciences Market Share Comparison by Country (2016-2032)
- Table 63: APAC Global Generative AI in Life Sciences Market Share Comparison by Technology (2016-2032)
- Table 64: APAC Global Generative AI in Life Sciences Market Share Comparison by Application (2016-2032)
- Table 65: Latin America Global Generative AI in Life Sciences Market Comparison by Technology (2016-2032)
- Table 66: Latin America Global Generative AI in Life Sciences Market Comparison by Application (2016-2032)
- Table 67: Latin America Global Generative AI in Life Sciences Market Revenue (US$ Mn) Comparison by Country (2016-2032)
- Table 68: Latin America Global Generative AI in Life Sciences Market Revenue (US$ Mn) (2016-2032)
- Table 69: Latin America Global Generative AI in Life Sciences Market Revenue (US$ Mn) Comparison by Country (2016-2032)
- Table 70: Latin America Global Generative AI in Life Sciences Market Revenue (US$ Mn) Comparison by Technology (2016-2032)
- Table 71: Latin America Global Generative AI in Life Sciences Market Revenue (US$ Mn) Comparison by Application (2016-2032)
- Table 72: Latin America Global Generative AI in Life Sciences Market Y-o-Y Growth Rate Comparison by Country (2016-2032)
- Table 73: Latin America Global Generative AI in Life Sciences Market Y-o-Y Growth Rate Comparison by Technology (2016-2032)
- Table 74: Latin America Global Generative AI in Life Sciences Market Y-o-Y Growth Rate Comparison by Application (2016-2032)
- Table 75: Latin America Global Generative AI in Life Sciences Market Share Comparison by Country (2016-2032)
- Table 76: Latin America Global Generative AI in Life Sciences Market Share Comparison by Technology (2016-2032)
- Table 77: Latin America Global Generative AI in Life Sciences Market Share Comparison by Application (2016-2032)
- Table 78: Middle East & Africa Global Generative AI in Life Sciences Market Comparison by Technology (2016-2032)
- Table 79: Middle East & Africa Global Generative AI in Life Sciences Market Comparison by Application (2016-2032)
- Table 80: Middle East & Africa Global Generative AI in Life Sciences Market Revenue (US$ Mn) Comparison by Country (2016-2032)
- Table 81: Middle East & Africa Global Generative AI in Life Sciences Market Revenue (US$ Mn) (2016-2032)
- Table 82: Middle East & Africa Global Generative AI in Life Sciences Market Revenue (US$ Mn) Comparison by Country (2016-2032)
- Table 83: Middle East & Africa Global Generative AI in Life Sciences Market Revenue (US$ Mn) Comparison by Technology (2016-2032)
- Table 84: Middle East & Africa Global Generative AI in Life Sciences Market Revenue (US$ Mn) Comparison by Application (2016-2032)
- Table 85: Middle East & Africa Global Generative AI in Life Sciences Market Y-o-Y Growth Rate Comparison by Country (2016-2032)
- Table 86: Middle East & Africa Global Generative AI in Life Sciences Market Y-o-Y Growth Rate Comparison by Technology (2016-2032)
- Table 87: Middle East & Africa Global Generative AI in Life Sciences Market Y-o-Y Growth Rate Comparison by Application (2016-2032)
- Table 88: Middle East & Africa Global Generative AI in Life Sciences Market Share Comparison by Country (2016-2032)
- Table 89: Middle East & Africa Global Generative AI in Life Sciences Market Share Comparison by Technology (2016-2032)
- Table 90: Middle East & Africa Global Generative AI in Life Sciences Market Share Comparison by Application (2016-2032)
- 1. Executive Summary
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