Global AI for Drug Discovery and Development Market Research Report 2024

Publication ID:

PB503249126

Publication Date:

March 21, 2024

Pages:

Publisher:

MRRPB5

Countries:

Global [1]

USD 2,900.00

IT Services [2]

Computing & Electronics [3]

Description:

Artificial intelligence has significant applications in the drug discovery field as it helps track diseases, create disease cures and predict which animal viruses appear to mutate. Artificial intelligence has been known to enhance R&D in drug discovery, which has helped researchers to discover chronic disease treatments. Drug discovery and development in the fields of medicine, pharmacology, and biotechnology are processes for the creation, design, and procurement of a drug through identifying a biological target, such as enzyme protein, gene, or receptor. Previously, the drugs were discovered by identifying the active ingredient conventional treatments. Thus, drug discovery is the first step in the process of identifying potential novel drugs and their medicinal purpose. New criteria for drugs are measured based on their bioavailability, efficacy, potency, and toxicity.
The global AI for Drug Discovery and Development market was valued at US$ 1123 million in 2023 and is anticipated to reach US$ 3561.6 million by 2030, witnessing a CAGR of 18.2% during the forecast period 2024-2030.
The global pharmaceutical market is 1475 billion USD 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 USD 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.
This report aims to provide a comprehensive presentation of the global market for AI for Drug Discovery and Development, 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 AI for Drug Discovery and Development.
Report Scope
The AI for Drug Discovery and Development market size, estimations, and forecasts are provided in terms of revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global AI for Drug Discovery and Development 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 AI for Drug Discovery and Development companies, new entrants, and industry chain related companies in this market with information on the revenues, sales volume, and average price for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
Market Segmentation
By Company
Alphabet
Atomwise
BenevolentAI
Cloud Pharmaceutical
Deep Genomics
Exscientia
IBM
Insilico Medicine
Microsoft Corporation
Nvidia Corporation
XtalPi
DP Technology
Tencent iDrug
PaddleHelix
EIHealth
Aliyun
Segment by Type
Target Identification
Molecule Screening
De Novo Drug Design and Drug Optimization
Preclinical and Clinical Testing
Others
Segment by Application
Oncology
Infectious Disease
Neurology
Others
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
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by 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 AI for Drug Discovery and Development 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 main companies in the market in detail, including product sales, revenue, price, 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 AI for Drug Discovery and Development Market Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 Target Identification
1.2.3 Molecule Screening
1.2.4 De Novo Drug Design and Drug Optimization
1.2.5 Preclinical and Clinical Testing
1.2.6 Others
1.3 Market by Application
1.3.1 Global AI for Drug Discovery and Development Market Growth by Application: 2019 VS 2023 VS 2030
1.3.2 Oncology
1.3.3 Infectious Disease
1.3.4 Neurology
1.3.5 Others
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global AI for Drug Discovery and Development Market Perspective (2019-2030)
2.2 AI for Drug Discovery and Development Growth Trends by Region
2.2.1 Global AI for Drug Discovery and Development Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 AI for Drug Discovery and Development Historic Market Size by Region (2019-2024)
2.2.3 AI for Drug Discovery and Development Forecasted Market Size by Region (2025-2030)
2.3 AI for Drug Discovery and Development Market Dynamics
2.3.1 AI for Drug Discovery and Development Industry Trends
2.3.2 AI for Drug Discovery and Development Market Drivers
2.3.3 AI for Drug Discovery and Development Market Challenges
2.3.4 AI for Drug Discovery and Development Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top AI for Drug Discovery and Development Players by Revenue
3.1.1 Global Top AI for Drug Discovery and Development Players by Revenue (2019-2024)
3.1.2 Global AI for Drug Discovery and Development Revenue Market Share by Players (2019-2024)
3.2 Global AI for Drug Discovery and Development Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by AI for Drug Discovery and Development Revenue
3.4 Global AI for Drug Discovery and Development Market Concentration Ratio
3.4.1 Global AI for Drug Discovery and Development Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by AI for Drug Discovery and Development Revenue in 2023
3.5 AI for Drug Discovery and Development Key Players Head office and Area Served
3.6 Key Players AI for Drug Discovery and Development Product Solution and Service
3.7 Date of Enter into AI for Drug Discovery and Development Market
3.8 Mergers & Acquisitions, Expansion Plans
4 AI for Drug Discovery and Development Breakdown Data by Type
4.1 Global AI for Drug Discovery and Development Historic Market Size by Type (2019-2024)
4.2 Global AI for Drug Discovery and Development Forecasted Market Size by Type (2025-2030)
5 AI for Drug Discovery and Development Breakdown Data by Application
5.1 Global AI for Drug Discovery and Development Historic Market Size by Application (2019-2024)
5.2 Global AI for Drug Discovery and Development Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America AI for Drug Discovery and Development Market Size (2019-2030)
6.2 North America AI for Drug Discovery and Development Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America AI for Drug Discovery and Development Market Size by Country (2019-2024)
6.4 North America AI for Drug Discovery and Development Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe AI for Drug Discovery and Development Market Size (2019-2030)
7.2 Europe AI for Drug Discovery and Development Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe AI for Drug Discovery and Development Market Size by Country (2019-2024)
7.4 Europe AI for Drug Discovery and Development Market Size by Country (2025-2030)
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 AI for Drug Discovery and Development Market Size (2019-2030)
8.2 Asia-Pacific AI for Drug Discovery and Development Market Growth Rate by Region: 2019 VS 2023 VS 2030
8.3 Asia-Pacific AI for Drug Discovery and Development Market Size by Region (2019-2024)
8.4 Asia-Pacific AI for Drug Discovery and Development Market Size by Region (2025-2030)
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 AI for Drug Discovery and Development Market Size (2019-2030)
9.2 Latin America AI for Drug Discovery and Development Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America AI for Drug Discovery and Development Market Size by Country (2019-2024)
9.4 Latin America AI for Drug Discovery and Development Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa AI for Drug Discovery and Development Market Size (2019-2030)
10.2 Middle East & Africa AI for Drug Discovery and Development Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa AI for Drug Discovery and Development Market Size by Country (2019-2024)
10.4 Middle East & Africa AI for Drug Discovery and Development Market Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Alphabet
11.1.1 Alphabet Company Detail
11.1.2 Alphabet Business Overview
11.1.3 Alphabet AI for Drug Discovery and Development Introduction
11.1.4 Alphabet Revenue in AI for Drug Discovery and Development Business (2019-2024)
11.1.5 Alphabet Recent Development
11.2 Atomwise
11.2.1 Atomwise Company Detail
11.2.2 Atomwise Business Overview
11.2.3 Atomwise AI for Drug Discovery and Development Introduction
11.2.4 Atomwise Revenue in AI for Drug Discovery and Development Business (2019-2024)
11.2.5 Atomwise Recent Development
11.3 BenevolentAI
11.3.1 BenevolentAI Company Detail
11.3.2 BenevolentAI Business Overview
11.3.3 BenevolentAI AI for Drug Discovery and Development Introduction
11.3.4 BenevolentAI Revenue in AI for Drug Discovery and Development Business (2019-2024)
11.3.5 BenevolentAI Recent Development
11.4 Cloud Pharmaceutical
11.4.1 Cloud Pharmaceutical Company Detail
11.4.2 Cloud Pharmaceutical Business Overview
11.4.3 Cloud Pharmaceutical AI for Drug Discovery and Development Introduction
11.4.4 Cloud Pharmaceutical Revenue in AI for Drug Discovery and Development Business (2019-2024)
11.4.5 Cloud Pharmaceutical Recent Development
11.5 Deep Genomics
11.5.1 Deep Genomics Company Detail
11.5.2 Deep Genomics Business Overview
11.5.3 Deep Genomics AI for Drug Discovery and Development Introduction
11.5.4 Deep Genomics Revenue in AI for Drug Discovery and Development Business (2019-2024)
11.5.5 Deep Genomics Recent Development
11.6 Exscientia
11.6.1 Exscientia Company Detail
11.6.2 Exscientia Business Overview
11.6.3 Exscientia AI for Drug Discovery and Development Introduction
11.6.4 Exscientia Revenue in AI for Drug Discovery and Development Business (2019-2024)
11.6.5 Exscientia Recent Development
11.7 IBM
11.7.1 IBM Company Detail
11.7.2 IBM Business Overview
11.7.3 IBM AI for Drug Discovery and Development Introduction
11.7.4 IBM Revenue in AI for Drug Discovery and Development Business (2019-2024)
11.7.5 IBM 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 AI for Drug Discovery and Development Introduction
11.8.4 Insilico Medicine Revenue in AI for Drug Discovery and Development Business (2019-2024)
11.8.5 Insilico Medicine Recent Development
11.9 Microsoft Corporation
11.9.1 Microsoft Corporation Company Detail
11.9.2 Microsoft Corporation Business Overview
11.9.3 Microsoft Corporation AI for Drug Discovery and Development Introduction
11.9.4 Microsoft Corporation Revenue in AI for Drug Discovery and Development Business (2019-2024)
11.9.5 Microsoft Corporation Recent Development
11.10 Nvidia Corporation
11.10.1 Nvidia Corporation Company Detail
11.10.2 Nvidia Corporation Business Overview
11.10.3 Nvidia Corporation AI for Drug Discovery and Development Introduction
11.10.4 Nvidia Corporation Revenue in AI for Drug Discovery and Development Business (2019-2024)
11.10.5 Nvidia Corporation Recent Development
11.11 XtalPi
11.11.1 XtalPi Company Detail
11.11.2 XtalPi Business Overview
11.11.3 XtalPi AI for Drug Discovery and Development Introduction
11.11.4 XtalPi Revenue in AI for Drug Discovery and Development Business (2019-2024)
11.11.5 XtalPi Recent Development
11.12 DP Technology
11.12.1 DP Technology Company Detail
11.12.2 DP Technology Business Overview
11.12.3 DP Technology AI for Drug Discovery and Development Introduction
11.12.4 DP Technology Revenue in AI for Drug Discovery and Development Business (2019-2024)
11.12.5 DP Technology Recent Development
11.13 Tencent iDrug
11.13.1 Tencent iDrug Company Detail
11.13.2 Tencent iDrug Business Overview
11.13.3 Tencent iDrug AI for Drug Discovery and Development Introduction
11.13.4 Tencent iDrug Revenue in AI for Drug Discovery and Development Business (2019-2024)
11.13.5 Tencent iDrug Recent Development
11.14 PaddleHelix
11.14.1 PaddleHelix Company Detail
11.14.2 PaddleHelix Business Overview
11.14.3 PaddleHelix AI for Drug Discovery and Development Introduction
11.14.4 PaddleHelix Revenue in AI for Drug Discovery and Development Business (2019-2024)
11.14.5 PaddleHelix Recent Development
11.15 EIHealth
11.15.1 EIHealth Company Detail
11.15.2 EIHealth Business Overview
11.15.3 EIHealth AI for Drug Discovery and Development Introduction
11.15.4 EIHealth Revenue in AI for Drug Discovery and Development Business (2019-2024)
11.15.5 EIHealth Recent Development
11.16 Aliyun
11.16.1 Aliyun Company Detail
11.16.2 Aliyun Business Overview
11.16.3 Aliyun AI for Drug Discovery and Development Introduction
11.16.4 Aliyun Revenue in AI for Drug Discovery and Development Business (2019-2024)
11.16.5 Aliyun 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:

Alphabet
Atomwise
BenevolentAI
Cloud Pharmaceutical
Deep Genomics
Exscientia
IBM
Insilico Medicine
Microsoft Corporation
Nvidia Corporation
XtalPi
DP Technology
Tencent iDrug
PaddleHelix
EIHealth
Aliyun

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