Artificial Intelligence Drug R&D Market, Global Outlook and Forecast 2024-2031

Report ID: 1133810 | Published Date: Jan 2025 | No. of Page: 62 | Base Year: 2024 | Rating: 3.8 | Webstory: Check our Web story

Artificial Intelligence Drug R&D means that we use AI (narrow AI for now, which specilizing in few tasks) to generate and analyse immense amounts of biological and outcomes data from patients or chem database to predict new targets, or to conclude standard models.
This report contains market size and forecasts of Artificial Intelligence Drug R&D in Global, including the following market information:
Global Artificial Intelligence Drug R&D Market Revenue, 2017-2022, 2023-2028, ($ millions)
Global top five companies in 2021 (%)
The global Artificial Intelligence Drug R&D market was valued at million in 2021 and is projected to reach US$ million by 2028, at a CAGR of % during the forecast period.
The U.S. Market is Estimated at $ Million in 2021, While China is Forecast to Reach $ Million by 2028.
AI Platfrom Segment to Reach $ Million by 2028, with a % CAGR in next six years.
The global key manufacturers of Artificial Intelligence Drug R&D include IBM Watson, BioXel, Insilico Medicine, Gatehouse Bio, Google DeepMind, Genpact Cora, Cyclica Inc, QuantumBlack and Nq Medical, etc. In 2021, the global top five players have a share approximately % in terms of revenue.
MARKET MONITOR GLOBAL, INC (MMG) has surveyed the Artificial Intelligence Drug R&D companies, and industry experts on this industry, involving the revenue, demand, product type, recent developments and plans, industry trends, drivers, challenges, obstacles, and potential risks.
Total Market by Segment:
Global Artificial Intelligence Drug R&D Market, by Type, 2017-2022, 2023-2028 ($ millions)
Global Artificial Intelligence Drug R&D Market Segment Percentages, by Type, 2021 (%)
AI Platfrom
Analytics Service
Global Artificial Intelligence Drug R&D Market, by Application, 2017-2022, 2023-2028 ($ millions)
Global Artificial Intelligence Drug R&D Market Segment Percentages, by Application, 2021 (%)
Drug Discovery
Precision Medicine
Global Artificial Intelligence Drug R&D Market, By Region and Country, 2017-2022, 2023-2028 ($ Millions)
Global Artificial Intelligence Drug R&D Market Segment Percentages, By Region and Country, 2021 (%)
North America
US
Canada
Mexico
Europe
Germany
France
U.K.
Italy
Russia
Nordic Countries
Benelux
Rest of Europe
Asia
China
Japan
South Korea
Southeast Asia
India
Rest of Asia
South America
Brazil
Argentina
Rest of South America
Middle East & Africa
Turkey
Israel
Saudi Arabia
UAE
Rest of Middle East & Africa
Competitor Analysis
The report also provides analysis of leading market participants including:
Key companies Artificial Intelligence Drug R&D revenues in global market, 2017-2022 (estimated), ($ millions)
Key companies Artificial Intelligence Drug R&D revenues share in global market, 2021 (%)
Further, the report presents profiles of competitors in the market, key players include:
IBM Watson
BioXel
Insilico Medicine
Gatehouse Bio
Google DeepMind
Genpact Cora
Cyclica Inc
QuantumBlack
Nq Medical
Phenomic AI
Palantir Technologies

Frequently Asked Questions
Artificial Intelligence Drug R&D Market In Global report offers great insights of the market and consumer data and their interpretation through various figures and graphs. Report has embedded global market and regional market deep analysis through various research methodologies. The report also offers great competitor analysis of the industries and highlights the key aspect of their business like success stories, market development and growth rate.
Artificial Intelligence Drug R&D Market In Global report is categorised based on following features:
  1. Global Market Players
  2. Geopolitical regions
  3. Consumer Insights
  4. Technological advancement
  5. Historic and Future Analysis of the Market
Artificial Intelligence Drug R&D Market In Global report is designed on the six basic aspects of analysing the market, which covers the SWOT and SWAR analysis like strength, weakness, opportunity, threat, aspirations and results. This methodology helps investors to reach on to the desired and correct decision to put their capital into the market.

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