June 10, 2024
ICT

Generative AI in Drug Discovery Market Size To Gain USD 1,417.83 Bn by 2032

The generative AI in drug discovery market size is poised to grow by USD 1,417.83 million by 2032 from USD 126.07 million in 2022, exhibiting a CAGR of 27.38% during the forecast period 2023-2032. 

Generative AI in Drug Discovery Market Size 2023 to 2032

Key Takeaways:

  • North America contributed more than 50% of revenue share in 2022.
  • By technology, the deep learning segment is expected to capture a significant market share over the forecast period.
  • By end user, the pharmaceutical & biotechnology company segment generated more than 43% of revenue share in 2022.

Precedence Research has conducted a comprehensive market study that provides valuable insights into the performance of the market during the forecast period. The study identifies significant trends that are shaping the growth of the Generative AI in drug discovery market. In this recently published report, essential dynamics such as drivers, restraints, and opportunities are highlighted for both established market players and emerging participants involved in production and supply.

To begin with, the Generative AI in drug discovery Market report features an executive summary that offers a concise overview of the marketplace. It outlines the key players and industry categories expected to have an impact on the market in the coming years. The executive summary provides an unbiased summary of the market.

Get a Sample Reporthttps://www.precedenceresearch.com/sample/3129

Generative AI in Drug Discovery Market Report Scope:

Report Coverage Details
Market Size in 2023 USD 160.59 Million
Market Size by 2032 USD 1,417.83 Million
Growth Rate from 2023 to 2032 CAGR of 27.38%
Largest Market North America
Base Year 2022
Forecast Period 2023 to 2032
Segments Covered By Technology and By End User
Regions Covered North America, Europe, Asia-Pacific, Latin America, and Middle East & Africa

Read More: Polyvinyl Butyral Market Size To Gain USD 8.06 Bn by 2032

The empirical study on the global Generative AI in drug discovery market primarily focuses on the drivers in subsequent sections. It demonstrates how changing demographics are projected to influence the supply and demand dynamics in the Generative AI in drug discovery Market. Our market report for the Generative AI in drug discovery market also delves into the significant rules and regulations that are likely to impact the future growth of this sector. Moreover, in order to comprehend the underlying demand factors, industry experts have provided insights into its fundamental origins.

Regional  Snapshot:

North America is projected to maintain its dominance in the market throughout the forecast period. The region’s growth can be attributed to the high prevalence of cancer cases. According to the American Cancer Society Journals, the United States reported 1,918,030 new cancer cases and 609,360 cancer-related deaths in 2022. Additionally, North America boasts a well-established and flourishing pharmaceutical industry, with numerous pharmaceutical companies, research institutions, and academic centers actively investing in AI technologies for drug discovery. These entities recognize the potential of generative AI to improve efficiency, reduce costs, and expedite the drug discovery process. For instance, in May 2023, XtalPi partnered with the US-based Eli Lilly to leverage artificial intelligence (AI) for drug development. Utilizing XtalPi’s integrated robotics platform and AI capabilities, the two companies aim to create and deliver medication candidates for an undisclosed target.

This collaboration will employ an AI drug discovery tool to develop a new chemical that Lilly will pursue through clinical and commercial development. Furthermore, regulatory agencies in North America, such as the U.S. Food and Drug Administration (FDA) and Health Canada, have demonstrated a willingness to embrace and support innovative technologies in drug discovery. They recognize the potential of generative AI to enhance the efficiency and success rate of drug development, creating a favorable regulatory environment for the adoption of generative AI in the region, thereby contributing to the market’s growth.

On the other hand, Asia Pacific is anticipated to experience the highest compound annual growth rate (CAGR) during the forecast period. The growth in this region is attributed to the expanding pharmaceutical industry and the rising prevalence of cancer. The region’s pharmaceutical sector is rapidly expanding due to increased healthcare expenditures, a large patient population, and a growing demand for innovative therapies. The adoption of generative AI in drug discovery presents an opportunity to accelerate the development of new drugs and address unmet medical needs in the Asia Pacific region.

Top Key Players:

  • Insilico Medicine
  • Atomwise Inc.
  • BenevolentAI
  • XtalPi Inc
  • Numerate Inc
  • Cyclica Inc
  • BioSymetrics
  • Variational AI Inc.
  • Merck KGaA
  • NVIDIA

Data Sources and Methodology

To gather comprehensive insights on the Global Generative AI in drug discovery Market, we relied on a range of data sources and followed a well-defined methodology. Our approach involved interactions with industry experts and key stakeholders across the market’s value chain, including management organizations, processing organizations, and analytics service providers.

We followed a rigorous data analysis process to ensure the quality and credibility of our research. The gathered information was carefully evaluated, and relevant quantitative data was subjected to statistical analysis. By employing robust analytical techniques, we were able to derive meaningful insights and present a comprehensive overview of the Global Generative AI in drug discovery Market.

The most resonating, simple, genuine, and important causes because of which you must decide to buy the Generative AI in drug discovery market report exclusively from precedence research

  • The research report has been meticulously crafted to provide comprehensive knowledge on essential marketing strategies and a holistic understanding of crucial marketing plans spanning the forecasted period from 2023 to 2032.

Key Features of the Report:

  • Comprehensive Coverage: The report extensively encompasses a detailed explanation of highly effective analytical marketing methods applicable to companies across all industry sectors.
  • Decision-Making Enhancement: It outlines a concise overview of the decision-making process while highlighting key techniques to enhance it, ensuring favorable business outcomes in the future.
  • Articulated R&D Approach: The report presents a well-defined approach to conducting research and development (R&D) activities, enabling accurate data acquisition on current and future marketing conditions.

Generative AI in Drug Discovery Market Segmentation:

By Technology

  • Machine Learning
  • Reinforcement Learning
  • Deep Learning
  • Molecular Docking
  • Quantum Computing

By End User

  • Pharmaceutical & Biotechnology Company
  • Academic & Research Institution
  • Contract Research Organizations
  • Others

By Geography

  • North America
  • Europe
  • Asia-Pacific
  • Latin America
  • Middle East and Africa

Reasons to Consider Purchasing the Report:

  • Enhance your market research capabilities by accessing this comprehensive and precise report on the global Generative AI in drug discovery market.
  • Gain a thorough understanding of the overall market landscape and be prepared to overcome challenges while ensuring robust growth.
  • Benefit from in-depth research and analysis of the latest trends shaping the global Generative AI in drug discovery market.
  • Obtain detailed insights into evolving market trends, current and future technologies, and strategic approaches employed by key players in the global Generative AI in drug discovery market.
  • Receive valuable recommendations and guidance for both new entrants and established players seeking further market expansion.
  • Discover not only the cutting-edge technological advancements in the global Generative AI in drug discovery market but also the strategic plans of industry leaders.

Table of Content

Chapter 1. Introduction

1.1. Research Objective

1.2. Scope of the Study

1.3. Definition

Chapter 2. Research Methodology (Premium Insights)

2.1. Research Approach

2.2. Data Sources

2.3. Assumptions & Limitations

Chapter 3. Executive Summary

3.1. Market Snapshot

Chapter 4. Market Variables and Scope 

4.1. Introduction

4.2. Market Classification and Scope

4.3. Industry Value Chain Analysis

4.3.1. Raw Material Procurement Analysis

4.3.2. Sales and Distribution Channel Analysis

4.3.3. Downstream Buyer Analysis

Chapter 5. COVID 19 Impact on Generative AI in Drug Discovery Market 

5.1. COVID-19 Landscape: Generative AI in Drug Discovery Industry Impact

5.2. COVID 19 – Impact Assessment for the Industry

5.3. COVID 19 Impact: Global Major Government Policy

5.4. Market Trends and Opportunities in the COVID-19 Landscape

Chapter 6. Market Dynamics Analysis and Trends

6.1. Market Dynamics

6.1.1. Market Drivers

6.1.2. Market Restraints

6.1.3. Market Opportunities

6.2. Porter’s Five Forces Analysis

6.2.1. Bargaining power of suppliers

6.2.2. Bargaining power of buyers

6.2.3. Threat of substitute

6.2.4. Threat of new entrants

6.2.5. Degree of competition

Chapter 7. Competitive Landscape

7.1.1. Company Market Share/Positioning Analysis

7.1.2. Key Strategies Adopted by Players

7.1.3. Vendor Landscape

7.1.3.1. List of Suppliers

7.1.3.2. List of Buyers

Chapter 8. Global Generative AI in Drug Discovery Market, By Technology

8.1. Generative AI in Drug Discovery Market, by Technology, 2023-2032

8.1.1. Machine Learning

8.1.1.1. Market Revenue and Forecast (2020-2032)

8.1.2. Reinforcement Learning

8.1.2.1. Market Revenue and Forecast (2020-2032)

8.1.3. Deep Learning

8.1.3.1. Market Revenue and Forecast (2020-2032)

8.1.4. Molecular Docking

8.1.4.1. Market Revenue and Forecast (2020-2032)

8.1.5. Quantum Computing

8.1.5.1. Market Revenue and Forecast (2020-2032)

Chapter 9. Global Generative AI in Drug Discovery Market, By End User

9.1. Generative AI in Drug Discovery Market, by End User, 2023-2032

9.1.1. Pharmaceutical & Biotechnology Company

9.1.1.1. Market Revenue and Forecast (2020-2032)

9.1.2. Academic & Research Institution

9.1.2.1. Market Revenue and Forecast (2020-2032)

9.1.3. Contract Research Organizations

9.1.3.1. Market Revenue and Forecast (2020-2032)

9.1.4. Others

9.1.4.1. Market Revenue and Forecast (2020-2032)

Chapter 10. Global Generative AI in Drug Discovery Market, Regional Estimates and Trend Forecast

10.1. North America

10.1.1. Market Revenue and Forecast, by Technology (2020-2032)

10.1.2. Market Revenue and Forecast, by End User (2020-2032)

10.1.3. U.S.

10.1.3.1. Market Revenue and Forecast, by Technology (2020-2032)

10.1.3.2. Market Revenue and Forecast, by End User (2020-2032)

10.1.4. Rest of North America

10.1.4.1. Market Revenue and Forecast, by Technology (2020-2032)

10.1.4.2. Market Revenue and Forecast, by End User (2020-2032)

10.2. Europe

10.2.1. Market Revenue and Forecast, by Technology (2020-2032)

10.2.2. Market Revenue and Forecast, by End User (2020-2032)

10.2.3. UK

10.2.3.1. Market Revenue and Forecast, by Technology (2020-2032)

10.2.3.2. Market Revenue and Forecast, by End User (2020-2032)

10.2.4. Germany

10.2.4.1. Market Revenue and Forecast, by Technology (2020-2032)

10.2.4.2. Market Revenue and Forecast, by End User (2020-2032)

10.2.5. France

10.2.5.1. Market Revenue and Forecast, by Technology (2020-2032)

10.2.5.2. Market Revenue and Forecast, by End User (2020-2032)

10.2.6. Rest of Europe

10.2.6.1. Market Revenue and Forecast, by Technology (2020-2032)

10.2.6.2. Market Revenue and Forecast, by End User (2020-2032)

10.3. APAC

10.3.1. Market Revenue and Forecast, by Technology (2020-2032)

10.3.2. Market Revenue and Forecast, by End User (2020-2032)

10.3.3. India

10.3.3.1. Market Revenue and Forecast, by Technology (2020-2032)

10.3.3.2. Market Revenue and Forecast, by End User (2020-2032)

10.3.4. China

10.3.4.1. Market Revenue and Forecast, by Technology (2020-2032)

10.3.4.2. Market Revenue and Forecast, by End User (2020-2032)

10.3.5. Japan

10.3.5.1. Market Revenue and Forecast, by Technology (2020-2032)

10.3.5.2. Market Revenue and Forecast, by End User (2020-2032)

10.3.6. Rest of APAC

10.3.6.1. Market Revenue and Forecast, by Technology (2020-2032)

10.3.6.2. Market Revenue and Forecast, by End User (2020-2032)

10.4. MEA

10.4.1. Market Revenue and Forecast, by Technology (2020-2032)

10.4.2. Market Revenue and Forecast, by End User (2020-2032)

10.4.3. GCC

10.4.3.1. Market Revenue and Forecast, by Technology (2020-2032)

10.4.3.2. Market Revenue and Forecast, by End User (2020-2032)

10.4.4. North Africa

10.4.4.1. Market Revenue and Forecast, by Technology (2020-2032)

10.4.4.2. Market Revenue and Forecast, by End User (2020-2032)

10.4.5. South Africa

10.4.5.1. Market Revenue and Forecast, by Technology (2020-2032)

10.4.5.2. Market Revenue and Forecast, by End User (2020-2032)

10.4.6. Rest of MEA

10.4.6.1. Market Revenue and Forecast, by Technology (2020-2032)

10.4.6.2. Market Revenue and Forecast, by End User (2020-2032)

10.5. Latin America

10.5.1. Market Revenue and Forecast, by Technology (2020-2032)

10.5.2. Market Revenue and Forecast, by End User (2020-2032)

10.5.3. Brazil

10.5.3.1. Market Revenue and Forecast, by Technology (2020-2032)

10.5.3.2. Market Revenue and Forecast, by End User (2020-2032)

10.5.4. Rest of LATAM

10.5.4.1. Market Revenue and Forecast, by Technology (2020-2032)

10.5.4.2. Market Revenue and Forecast, by End User (2020-2032)

Chapter 11. Company Profiles

11.1. Insilico Medicine

11.1.1. Company Overview

11.1.2. Product Offerings

11.1.3. Financial Performance

11.1.4. Recent Initiatives

11.2. Atomwise Inc.

11.2.1. Company Overview

11.2.2. Product Offerings

11.2.3. Financial Performance

11.2.4. Recent Initiatives

11.3. BenevolentAI

11.3.1. Company Overview

11.3.2. Product Offerings

11.3.3. Financial Performance

11.3.4. Recent Initiatives

11.4. XtalPi Inc

11.4.1. Company Overview

11.4.2. Product Offerings

11.4.3. Financial Performance

11.4.4. Recent Initiatives

11.5. Numerate Inc

11.5.1. Company Overview

11.5.2. Product Offerings

11.5.3. Financial Performance

11.5.4. Recent Initiatives

11.6. Cyclica Inc

11.6.1. Company Overview

11.6.2. Product Offerings

11.6.3. Financial Performance

11.6.4. Recent Initiatives

11.7. BioSymetrics

11.7.1. Company Overview

11.7.2. Product Offerings

11.7.3. Financial Performance

11.7.4. Recent Initiatives

11.8. Variational AI Inc.

11.8.1. Company Overview

11.8.2. Product Offerings

11.8.3. Financial Performance

11.8.4. Recent Initiatives

11.9. Variational AI Inc.

11.9.1. Company Overview

11.9.2. Product Offerings

11.9.3. Financial Performance

11.9.4. Recent Initiatives

11.10. NVIDIA

11.10.1. Company Overview

11.10.2. Product Offerings

11.10.3. Financial Performance

11.10.4. Recent Initiatives

Chapter 12. Research Methodology

12.1. Primary Research

12.2. Secondary Research

12.3. Assumptions

Chapter 13. Appendix

13.1. About Us

13.2. Glossary of Terms

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