Global Artificial Intelligence in Drug Discovery Market 2023 by Company, Regions, Type and Application, Forecast to 2029

Global Artificial Intelligence in Drug Discovery Market 2023 by Company, Regions, Type and Application, Forecast to 2029

According to our (Global Info Research) latest study, the global Artificial Intelligence in Drug Discovery market size was valued at USD 1405.5 million in 2022 and is forecast to a readjusted size of USD 8529.3 million by 2029 with a CAGR of 29.4% during review period. The influence of COVID-19 and the Russia-Ukraine War were considered while estimating market sizes.

The key manufacturers of Artificial Intelligence in Drug Discovery include IBM, Google (Alphabet), Atomwise, Schrodinger, Microsoft, etc. The top five players have a combined market share of about 19%.

North America is the world's largest market, accounting for about 46%. It is followed by Europe and Asia, each with about 25%. The Asian market is slowly expanding.

The application of Artificial Intelligence in Drug Discovery mainly includes hardware, software and service. Hardware is by far the most widely used, with a market share of about 53%. The market share of software types is expected to increase further.

Early drug discovery, preclinical phase, clinical phase, and regulatory approval are the main application stages. The current preclinical market share is about 38%, and it is expected to be more widely used in the preclinical stage in the future.

Artificial intelligence in medicine is the use of machine learning models to search medical data and uncover insights to help improve health outcomes and patient experiences. Thanks to recent advances in computer science and informatics, artificial intelligence (AI) is quickly becoming an integral part of modern healthcare. AI algorithms and other applications powered by AI are being used to support medical professionals in clinical settings and in ongoing research. Currently, the most common roles for AI in medical settings are clinical decision support and imaging analysis. Clinical decision support tools help providers make decisions about treatments, medications, mental health and other patient needs by providing them with quick access to information or research that's relevant to their patient.

Drug discovery is often one of the longest and most costly parts of drug development. AI could help reduce the costs of developing new medicines in primarily two ways: creating better drug designs and finding promising new drug combinations. With AI, many of the big data challenges facing the life sciences industry could be overcome.

This report is a detailed and comprehensive analysis for global Artificial Intelligence in Drug Discovery market. Both quantitative and qualitative analyses are presented by company, by region & country, by Type and by Application. As the market is constantly changing, this report explores the competition, supply and demand trends, as well as key factors that contribute to its changing demands across many markets. Company profiles and product examples of selected competitors, along with market share estimates of some of the selected leaders for the year 2023, are provided.

Key Features:

Global Artificial Intelligence in Drug Discovery market size and forecasts, in consumption value ($ Million), 2018-2029

Global Artificial Intelligence in Drug Discovery market size and forecasts by region and country, in consumption value ($ Million), 2018-2029

Global Artificial Intelligence in Drug Discovery market size and forecasts, by Type and by Application, in consumption value ($ Million), 2018-2029

Global Artificial Intelligence in Drug Discovery market shares of main players, in revenue ($ Million), 2018-2023

The Primary Objectives in This Report Are:

To determine the size of the total market opportunity of global and key countries

To assess the growth potential for Artificial Intelligence in Drug Discovery

To forecast future growth in each product and end-use market

To assess competitive factors affecting the marketplace

This report profiles key players in the global Artificial Intelligence in Drug Discovery market based on the following parameters - company overview, production, value, price, gross margin, product portfolio, geographical presence, and key developments. Key companies covered as a part of this study include IBM, Exscientia, Google(Alphabet), Microsoft and Atomwise, etc.

This report also provides key insights about market drivers, restraints, opportunities, new product launches or approvals, COVID-19 and Russia-Ukraine War Influence.

Market segmentation

Artificial Intelligence in Drug Discovery market is split by Type and by Application. For the period 2018-2029, the growth among segments provide accurate calculations and forecasts for consumption value by Type and by Application. This analysis can help you expand your business by targeting qualified niche markets.

Market segment by Type
Hardware
Software
Service

Market segment by Application
Early Drug Discovery
Preclinical Phase
Clinical Phase
Regulatory Approval

Market segment by players, this report covers
IBM
Exscientia
Google(Alphabet)
Microsoft
Atomwise
Schrodinger
Aitia
Insilico Medicine
NVIDIA
XtalPi
BPGbio
Owkin
CytoReason
Deep Genomics
Cloud Pharmaceuticals
BenevolentAI
Cyclica
Verge Genomics
Valo Health
Envisagenics
Euretos
BioAge Labs
Iktos
BioSymetrics
Evaxion Biotech
Aria Pharmaceuticals, Inc

Market segment by regions, regional analysis covers
North America (United States, Canada, and Mexico)
Europe (Germany, France, UK, Russia, Italy, and Rest of Europe)
Asia-Pacific (China, Japan, South Korea, India, Southeast Asia, Australia and Rest of Asia-Pacific)
South America (Brazil, Argentina and Rest of South America)
Middle East & Africa (Turkey, Saudi Arabia, UAE, Rest of Middle East & Africa)

The content of the study subjects, includes a total of 13 chapters:

Chapter 1, to describe Artificial Intelligence in Drug Discovery product scope, market overview, market estimation caveats and base year.

Chapter 2, to profile the top players of Artificial Intelligence in Drug Discovery, with revenue, gross margin and global market share of Artificial Intelligence in Drug Discovery from 2018 to 2023.

Chapter 3, the Artificial Intelligence in Drug Discovery competitive situation, revenue and global market share of top players are analyzed emphatically by landscape contrast.

Chapter 4 and 5, to segment the market size by Type and application, with consumption value and growth rate by Type, application, from 2018 to 2029.

Chapter 6, 7, 8, 9, and 10, to break the market size data at the country level, with revenue and market share for key countries in the world, from 2018 to 2023.and Artificial Intelligence in Drug Discovery market forecast, by regions, type and application, with consumption value, from 2024 to 2029.

Chapter 11, market dynamics, drivers, restraints, trends, Porters Five Forces analysis, and Influence of COVID-19 and Russia-Ukraine War

Chapter 12, the key raw materials and key suppliers, and industry chain of Artificial Intelligence in Drug Discovery.

Chapter 13, to describe Artificial Intelligence in Drug Discovery research findings and conclusion.