Global Artificial Intelligence (AI) in Drug Discovery Market Research Report 2023

Publication ID:

PB504231283

Publication Date:

April 20, 2023

Pages:

108

Publisher:

MRRPB5

Countries:

Global [1]

USD 2,900.00

IT Services [2]

Computing & Electronics [3]

Description:

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.
Highlights
The global Artificial Intelligence (AI) in Drug Discovery market was valued at US$ 950.6 million in 2022 and is anticipated to reach US$ 3210.7 million by 2029, witnessing a CAGR of 22.5% during the forecast period 2023-2029. The influence of COVID-19 and the Russia-Ukraine War were considered while estimating market sizes.
North American market for Artificial Intelligence (AI) in Drug Discovery is estimated to increase from $ million in 2023 to reach $ million by 2029, at a CAGR of % during the forecast period of 2023 through 2029.
Asia-Pacific market for Artificial Intelligence (AI) in Drug Discovery is estimated to increase from $ million in 2023 to reach $ million by 2029, at a CAGR of % during the forecast period of 2023 through 2029.
The global market for Artificial Intelligence (AI) in Drug Discovery in Pharmaceutical & Biotechnology Companies is estimated to increase from $ million in 2023 to $ million by 2029, at a CAGR of % during the forecast period of 2023 through 2029.
The key global companies of Artificial Intelligence (AI) in Drug Discovery include IBM, Microsoft, Google, NVIDIA Corporation, Atomwise, Inc., Deep Genomics, Cloud Pharmaceuticals, Insilico Medicine and BenevolentAI, etc. In 2022, the world's top three vendors accounted for approximately % of the revenue.
Report Scope
This report aims to provide a comprehensive presentation of the global market for Artificial Intelligence (AI) in Drug Discovery, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Artificial Intelligence (AI) in Drug Discovery.
The Artificial Intelligence (AI) in Drug Discovery market size, estimations, and forecasts are provided in terms of and revenue ($ millions), considering 2022 as the base year, with history and forecast data for the period from 2018 to 2029. This report segments the global Artificial Intelligence (AI) in Drug Discovery market comprehensively. Regional market sizes, concerning products by type, by application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the Artificial Intelligence (AI) in Drug Discovery companies, new entrants, and industry chain related companies in this market with information on the revenues for the overall market and the sub-segments across the different segments, by company, by type, by application, and by regions.
By Company
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
Segment by Type
Software
Services
Segment by Application
Pharmaceutical & Biotechnology Companies
Contract Research Organizations
Research Centers and Academic & Government Institutes
By Region
North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Core Chapters
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by 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: Introduces executive summary of global market size, regional market size, 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鈥� competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by type, covering the market size 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 market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. 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.
Chapter 11: Provides profiles of key players, introducing the basic situation of the key companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.

Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.

Table Of Contents:

1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Artificial Intelligence (AI) in Drug Discovery Market Size Growth Rate by Type: 2018 VS 2022 VS 2029
1.2.2 Software
1.2.3 Services
1.3 Market by Application
1.3.1 Global Artificial Intelligence (AI) in Drug Discovery Market Growth by Application: 2018 VS 2022 VS 2029
1.3.2 Pharmaceutical & Biotechnology Companies
1.3.3 Contract Research Organizations
1.3.4 Research Centers and Academic & Government Institutes
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Artificial Intelligence (AI) in Drug Discovery Market Perspective (2018-2029)
2.2 Artificial Intelligence (AI) in Drug Discovery Growth Trends by Region
2.2.1 Global Artificial Intelligence (AI) in Drug Discovery Market Size by Region: 2018 VS 2022 VS 2029
2.2.2 Artificial Intelligence (AI) in Drug Discovery Historic Market Size by Region (2018-2023)
2.2.3 Artificial Intelligence (AI) in Drug Discovery Forecasted Market Size by Region (2024-2029)
2.3 Artificial Intelligence (AI) in Drug Discovery Market Dynamics
2.3.1 Artificial Intelligence (AI) in Drug Discovery Industry Trends
2.3.2 Artificial Intelligence (AI) in Drug Discovery Market Drivers
2.3.3 Artificial Intelligence (AI) in Drug Discovery Market Challenges
2.3.4 Artificial Intelligence (AI) in Drug Discovery Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Artificial Intelligence (AI) in Drug Discovery Players by Revenue
3.1.1 Global Top Artificial Intelligence (AI) in Drug Discovery Players by Revenue (2018-2023)
3.1.2 Global Artificial Intelligence (AI) in Drug Discovery Revenue Market Share by Players (2018-2023)
3.2 Global Artificial Intelligence (AI) in Drug Discovery Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Artificial Intelligence (AI) in Drug Discovery Revenue
3.4 Global Artificial Intelligence (AI) in Drug Discovery Market Concentration Ratio
3.4.1 Global Artificial Intelligence (AI) in Drug Discovery Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Artificial Intelligence (AI) in Drug Discovery Revenue in 2022
3.5 Artificial Intelligence (AI) in Drug Discovery Key Players Head office and Area Served
3.6 Key Players Artificial Intelligence (AI) in Drug Discovery Product Solution and Service
3.7 Date of Enter into Artificial Intelligence (AI) in Drug Discovery Market
3.8 Mergers & Acquisitions, Expansion Plans
4 Artificial Intelligence (AI) in Drug Discovery Breakdown Data by Type
4.1 Global Artificial Intelligence (AI) in Drug Discovery Historic Market Size by Type (2018-2023)
4.2 Global Artificial Intelligence (AI) in Drug Discovery Forecasted Market Size by Type (2024-2029)
5 Artificial Intelligence (AI) in Drug Discovery Breakdown Data by Application
5.1 Global Artificial Intelligence (AI) in Drug Discovery Historic Market Size by Application (2018-2023)
5.2 Global Artificial Intelligence (AI) in Drug Discovery Forecasted Market Size by Application (2024-2029)
6 North America
6.1 North America Artificial Intelligence (AI) in Drug Discovery Market Size (2018-2029)
6.2 North America Artificial Intelligence (AI) in Drug Discovery Market Growth Rate by Country: 2018 VS 2022 VS 2029
6.3 North America Artificial Intelligence (AI) in Drug Discovery Market Size by Country (2018-2023)
6.4 North America Artificial Intelligence (AI) in Drug Discovery Market Size by Country (2024-2029)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Artificial Intelligence (AI) in Drug Discovery Market Size (2018-2029)
7.2 Europe Artificial Intelligence (AI) in Drug Discovery Market Growth Rate by Country: 2018 VS 2022 VS 2029
7.3 Europe Artificial Intelligence (AI) in Drug Discovery Market Size by Country (2018-2023)
7.4 Europe Artificial Intelligence (AI) in Drug Discovery Market Size by Country (2024-2029)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific Artificial Intelligence (AI) in Drug Discovery Market Size (2018-2029)
8.2 Asia-Pacific Artificial Intelligence (AI) in Drug Discovery Market Growth Rate by Region: 2018 VS 2022 VS 2029
8.3 Asia-Pacific Artificial Intelligence (AI) in Drug Discovery Market Size by Region (2018-2023)
8.4 Asia-Pacific Artificial Intelligence (AI) in Drug Discovery Market Size by Region (2024-2029)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America Artificial Intelligence (AI) in Drug Discovery Market Size (2018-2029)
9.2 Latin America Artificial Intelligence (AI) in Drug Discovery Market Growth Rate by Country: 2018 VS 2022 VS 2029
9.3 Latin America Artificial Intelligence (AI) in Drug Discovery Market Size by Country (2018-2023)
9.4 Latin America Artificial Intelligence (AI) in Drug Discovery Market Size by Country (2024-2029)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Artificial Intelligence (AI) in Drug Discovery Market Size (2018-2029)
10.2 Middle East & Africa Artificial Intelligence (AI) in Drug Discovery Market Growth Rate by Country: 2018 VS 2022 VS 2029
10.3 Middle East & Africa Artificial Intelligence (AI) in Drug Discovery Market Size by Country (2018-2023)
10.4 Middle East & Africa Artificial Intelligence (AI) in Drug Discovery Market Size by Country (2024-2029)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 IBM
11.1.1 IBM Company Detail
11.1.2 IBM Business Overview
11.1.3 IBM Artificial Intelligence (AI) in Drug Discovery Introduction
11.1.4 IBM Revenue in Artificial Intelligence (AI) in Drug Discovery Business (2018-2023)
11.1.5 IBM Recent Development
11.2 Microsoft
11.2.1 Microsoft Company Detail
11.2.2 Microsoft Business Overview
11.2.3 Microsoft Artificial Intelligence (AI) in Drug Discovery Introduction
11.2.4 Microsoft Revenue in Artificial Intelligence (AI) in Drug Discovery Business (2018-2023)
11.2.5 Microsoft Recent Development
11.3 Google
11.3.1 Google Company Detail
11.3.2 Google Business Overview
11.3.3 Google Artificial Intelligence (AI) in Drug Discovery Introduction
11.3.4 Google Revenue in Artificial Intelligence (AI) in Drug Discovery Business (2018-2023)
11.3.5 Google Recent Development
11.4 NVIDIA Corporation
11.4.1 NVIDIA Corporation Company Detail
11.4.2 NVIDIA Corporation Business Overview
11.4.3 NVIDIA Corporation Artificial Intelligence (AI) in Drug Discovery Introduction
11.4.4 NVIDIA Corporation Revenue in Artificial Intelligence (AI) in Drug Discovery Business (2018-2023)
11.4.5 NVIDIA Corporation Recent Development
11.5 Atomwise, Inc.
11.5.1 Atomwise, Inc. Company Detail
11.5.2 Atomwise, Inc. Business Overview
11.5.3 Atomwise, Inc. Artificial Intelligence (AI) in Drug Discovery Introduction
11.5.4 Atomwise, Inc. Revenue in Artificial Intelligence (AI) in Drug Discovery Business (2018-2023)
11.5.5 Atomwise, Inc. Recent Development
11.6 Deep Genomics
11.6.1 Deep Genomics Company Detail
11.6.2 Deep Genomics Business Overview
11.6.3 Deep Genomics Artificial Intelligence (AI) in Drug Discovery Introduction
11.6.4 Deep Genomics Revenue in Artificial Intelligence (AI) in Drug Discovery Business (2018-2023)
11.6.5 Deep Genomics Recent Development
11.7 Cloud Pharmaceuticals
11.7.1 Cloud Pharmaceuticals Company Detail
11.7.2 Cloud Pharmaceuticals Business Overview
11.7.3 Cloud Pharmaceuticals Artificial Intelligence (AI) in Drug Discovery Introduction
11.7.4 Cloud Pharmaceuticals Revenue in Artificial Intelligence (AI) in Drug Discovery Business (2018-2023)
11.7.5 Cloud Pharmaceuticals Recent Development
11.8 Insilico Medicine
11.8.1 Insilico Medicine Company Detail
11.8.2 Insilico Medicine Business Overview
11.8.3 Insilico Medicine Artificial Intelligence (AI) in Drug Discovery Introduction
11.8.4 Insilico Medicine Revenue in Artificial Intelligence (AI) in Drug Discovery Business (2018-2023)
11.8.5 Insilico Medicine Recent Development
11.9 BenevolentAI
11.9.1 BenevolentAI Company Detail
11.9.2 BenevolentAI Business Overview
11.9.3 BenevolentAI Artificial Intelligence (AI) in Drug Discovery Introduction
11.9.4 BenevolentAI Revenue in Artificial Intelligence (AI) in Drug Discovery Business (2018-2023)
11.9.5 BenevolentAI Recent Development
11.10 Exscientia
11.10.1 Exscientia Company Detail
11.10.2 Exscientia Business Overview
11.10.3 Exscientia Artificial Intelligence (AI) in Drug Discovery Introduction
11.10.4 Exscientia Revenue in Artificial Intelligence (AI) in Drug Discovery Business (2018-2023)
11.10.5 Exscientia Recent Development
11.11 Cyclica
11.11.1 Cyclica Company Detail
11.11.2 Cyclica Business Overview
11.11.3 Cyclica Artificial Intelligence (AI) in Drug Discovery Introduction
11.11.4 Cyclica Revenue in Artificial Intelligence (AI) in Drug Discovery Business (2018-2023)
11.11.5 Cyclica Recent Development
11.12 BIOAGE
11.12.1 BIOAGE Company Detail
11.12.2 BIOAGE Business Overview
11.12.3 BIOAGE Artificial Intelligence (AI) in Drug Discovery Introduction
11.12.4 BIOAGE Revenue in Artificial Intelligence (AI) in Drug Discovery Business (2018-2023)
11.12.5 BIOAGE Recent Development
11.13 Numerate
11.13.1 Numerate Company Detail
11.13.2 Numerate Business Overview
11.13.3 Numerate Artificial Intelligence (AI) in Drug Discovery Introduction
11.13.4 Numerate Revenue in Artificial Intelligence (AI) in Drug Discovery Business (2018-2023)
11.13.5 Numerate Recent Development
11.14 NuMedii
11.14.1 NuMedii Company Detail
11.14.2 NuMedii Business Overview
11.14.3 NuMedii Artificial Intelligence (AI) in Drug Discovery Introduction
11.14.4 NuMedii Revenue in Artificial Intelligence (AI) in Drug Discovery Business (2018-2023)
11.14.5 NuMedii Recent Development
11.15 Envisagenics
11.15.1 Envisagenics Company Detail
11.15.2 Envisagenics Business Overview
11.15.3 Envisagenics Artificial Intelligence (AI) in Drug Discovery Introduction
11.15.4 Envisagenics Revenue in Artificial Intelligence (AI) in Drug Discovery Business (2018-2023)
11.15.5 Envisagenics Recent Development
11.16 twoXAR
11.16.1 twoXAR Company Detail
11.16.2 twoXAR Business Overview
11.16.3 twoXAR Artificial Intelligence (AI) in Drug Discovery Introduction
11.16.4 twoXAR Revenue in Artificial Intelligence (AI) in Drug Discovery Business (2018-2023)
11.16.5 twoXAR Recent Development
11.17 OWKIN, Inc.
11.17.1 OWKIN, Inc. Company Detail
11.17.2 OWKIN, Inc. Business Overview
11.17.3 OWKIN, Inc. Artificial Intelligence (AI) in Drug Discovery Introduction
11.17.4 OWKIN, Inc. Revenue in Artificial Intelligence (AI) in Drug Discovery Business (2018-2023)
11.17.5 OWKIN, Inc. Recent Development
11.18 XtalPi
11.18.1 XtalPi Company Detail
11.18.2 XtalPi Business Overview
11.18.3 XtalPi Artificial Intelligence (AI) in Drug Discovery Introduction
11.18.4 XtalPi Revenue in Artificial Intelligence (AI) in Drug Discovery Business (2018-2023)
11.18.5 XtalPi Recent Development
11.19 Verge Genomics
11.19.1 Verge Genomics Company Detail
11.19.2 Verge Genomics Business Overview
11.19.3 Verge Genomics Artificial Intelligence (AI) in Drug Discovery Introduction
11.19.4 Verge Genomics Revenue in Artificial Intelligence (AI) in Drug Discovery Business (2018-2023)
11.19.5 Verge Genomics Recent Development
11.20 BERG LLC
11.20.1 BERG LLC Company Detail
11.20.2 BERG LLC Business Overview
11.20.3 BERG LLC Artificial Intelligence (AI) in Drug Discovery Introduction
11.20.4 BERG LLC Revenue in Artificial Intelligence (AI) in Drug Discovery Business (2018-2023)
11.20.5 BERG LLC Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.2 Data Source
13.2 Disclaimer
13.3 Author Details

Companies Mentioned:

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

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