Market Executive Summary

Uses AI to: Process raw phenotypic, imaging, drug, and genomic data sets. Allows researchers to: Integrate rapid analytics and machine learning capabilities into existing business processes to improve care, enhance discoveries, gain insight into business, and enable fast data-driven decisions.

The global Artificial Intelligence (AI) in Drug Discovery market is projected to grow from US$ 950.6 million in 2024 to US$ 3210.7 million by 2030, at a Compound Annual Growth Rate (CAGR) of 22.5% during the forecast period.

The global pharmaceutical market is 1475 billion US$ in 2022, growing at a CAGR of 5% during the next six years. The pharmaceutical market includes chemical drugs and biological drugs. For biologics is expected to 381 billion US$ in 2022. In comparison, the chemical drug market is estimated to increase from 1005 billion in 2018 to 1094 billion U.S. dollars in 2022.

The pharmaceutical market factors such as increasing demand for healthcare, technological advancements, and the rising prevalence of chronic diseases, increase in funding from private & government organizations for development of pharmaceutical manufacturing segments and rise in R&D activities for drugs. However, the industry also faces challenges such as stringent regulations, high costs of research and development, and patent expirations. Companies need to continuously innovate and adapt to these challenges to stay competitive in the market and ensure their products reach patients in need. Additionally, the COVID-19 pandemic has highlighted the importance of vaccine development and supply chain management, further emphasizing the need for pharmaceutical companies to be agile and responsive to emerging public health needs.

Report Covers:

This report presents an overview of global market for Artificial Intelligence (AI) in Drug Discovery market size. Analyses of the global market trends, with historic market revenue data for 2019 - 2023, estimates for 2024, and projections of CAGR through 2030. 

This report researches the key producers of Artificial Intelligence (AI) in Drug Discovery, also provides the revenue of main regions and countries.  of the upcoming market potential for Artificial Intelligence (AI) in Drug Discovery, and key regions/countries of focus to forecast this market into various segments and sub-segments. Country specific data and market value analysis for the U.S., Canada, Mexico, Brazil, China, Japan, South Korea, Southeast Asia, India, Germany, the U.K., Italy, Middle East, Africa, and Other Countries.

This report focuses on the Artificial Intelligence (AI) in Drug Discovery revenue, market share and industry ranking of main companies, data from 2019 to 2024. Identification of the major stakeholders in the global Artificial Intelligence (AI) in Drug Discovery market, and analysis of their competitive landscape and market positioning based on recent developments and segmental revenues. This report will help stakeholders to understand the competitive landscape and gain more insights and position their businesses and market strategies in a better way.

This report analyzes the segments data by Type and by Application, revenue, and growth rate, from 2019 to 2030. Evaluation and forecast the market size for Artificial Intelligence (AI) in Drug Discovery revenue, projected growth trends, production technology, application and end-user industry.

Global Artificial Intelligence (AI) in Drug Discovery Companies Covered

IBM, Microsoft, Google, NVIDIA Corporation, Atomwise, Inc., Deep Genomics, Cloud Pharmaceuticals, Insilico Medicine, BenevolentAI, Exscientia, Cyclica, BIOAGE, Numerate, NuMedii, Envisagenics, twoXAR, OWKIN, Inc., XtalPi, Verge Genomics, BERG LLC

Global Artificial Intelligence (AI) in Drug Discovery Market, by Region

North America (U.S., Canada, Mexico)

Europe (Germany, France, UK, Italy, etc.)

Asia Pacific (China, Japan, South Korea, Southeast Asia, India, etc.)

South America (Brazil, etc.)

Middle East and Africa (Turkey, GCC Countries, Africa, etc.)

Global Artificial Intelligence (AI) in Drug Discovery Market, Segment by Type

Software

Services

Global Artificial Intelligence (AI) in Drug Discovery Market, Segment by Application

Pharmaceutical & Biotechnology Companies

Contract Research Organizations

Research Centers and Academic & Government Institutes

Chapter Outline

Chapter 1: Introduces the report scope of the report, executive summary of different market segments (product type, application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.

Chapter 2: Revenue of Artificial Intelligence (AI) in Drug Discovery in global and regional level. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world. This section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.

Chapter 3: Detailed analysis of Artificial Intelligence (AI) in Drug Discovery companies’ competitive landscape, revenue, market share and industry ranking, latest development plan, merger, and acquisition information, etc.

Chapter 4: Provides the analysis of various market segments by Type, covering the revenue, and development potential of each market segment, to help readers find the blue ocean market in different market segments.

Chapter 5: Provides the analysis of various market segments by Application, covering the revenue, and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.

Chapter 6: North America (US & Canada) by Type, by Application and by country, revenue for each segment.

Chapter 7: Europe by Type, by Application and by country, revenue for each segment.

Chapter 8: China by Type, and by Application, revenue for each segment.

Chapter 9: Asia (excluding China) by Type, by Application and by region, revenue for each segment.

Chapter 10: Middle East, Africa, and Latin America by Type, by Application and by country, revenue for each segment.

Chapter 11: Provides profiles of key companies, introducing the basic situation of the main companies in the market in detail, including product descriptions and specifications, Artificial Intelligence (AI) in Drug Discovery revenue, gross margin, and recent development, etc.

Chapter 12: Analyst's Viewpoints/Conclusions