Artificial Intelligence for Drug Discovery Market Industry To Witness Huge Growth Between 2022-2030

Acumen Research and Consulting has recently published a research report on the Artificial Intelligence for Drug Discovery Market for the forecast period of 2022-2030, wherein, the global market has been analyzed and assessed in an extremely comprehensive manner.

The research report on the Artificial Intelligence for Drug Discovery Market offers an extensive analysis of how the Artificial Intelligence for Drug Discovery Market landscape would evolve through 2030.

A deep dive study on this industry has enabled our research analysts to precisely analyze the Artificial Intelligence for Drug Discovery Market size. Additionally, our Artificial Intelligence for Drug Discovery Market forecast numbers have been updated on account of the impact COVID-19 pandemic and this has helped us to estimate the final worldwide Artificial Intelligence for Drug Discovery Market value.

The research study on the Artificial Intelligence for Drug Discovery Market analyzes key drivers upholding product sales and prominent trends shaping the growth of the market.

The research study not only focuses on the latent opportunities for the key stakeholders of the market but also sheds light on the notable developments and future scope for innovation in the landscape

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The report starts with a quick executive summary, wherein, key takeaways have been highlighted for the readers to have a sneak peek at the key market segments. In addition, the research study also focuses on Artificial Intelligence for Drug Discovery Market trends that are responsible for market growth.

The research study by Acumen Research and Consulting on the market also talks about the macroeconomic and microeconomic factors having deep-rooted influences on global Artificial Intelligence for Drug Discovery Market growth.

The research study on the Artificial Intelligence for Drug Discovery Market industry analysis also offers a regional analysis, wherein, demand across every region has been comprehensively analyzed.

Our Artificial Intelligence for Drug Discovery Market regional outlook will allow you to comprehend information on a worldwide level. Besides that, it will make you easily uncover the Artificial Intelligence for Drug Discovery Market shares of all the segmentations and regions.

Artificial Intelligence for Drug Discovery Market
Artificial Intelligence for Drug Discovery Market

Key Vendors Included as below:

The players profiled in the report include Atomwise, Inc., Insilico Medicine, BIOAGE, Numerate, NuMedii, Inc., Envisagenics, Cloud Pharmaceuticals, Inc., BenevolentAI, twoXAR, and Exscientia.

Key Questions Answered in the Report

The report addresses key questions concerning the market evolution and overarching trends shaping global market growth. Some of the key questions answered in the report include-

  • What is the overall structure of the market?
  • What was the historical value and what is the forecasted value of the market?
  • What are the key product level trends in the market?
  • What are the market level trends in the market?
  • Which of the market players are leading and what are their key differential strategies to retain their stronghold?
  • Which are the most lucrative regions in the market space?

Artificial Intelligence for Drug Discovery Market Segmentation for this report is as below:

Market by Drug Type:

  • Small Molecule
  • Large Molecule

Market by Technology:

  • Deep Learning
  • Machine Learning

Market by Application:

  • Metabolic Disease
  • Cardiovascular Diseases
  • Oncology
  • Neurodegenerative Diseases
  • Others

Market by End use:

  • Pharmaceutical & Biotechnological Companies
  • Academic & Research Institutes
  • Others

Table of Content:

CHAPTER 1. INDUSTRY OVERVIEW
1.1. Definition and Scope
1.1.1. Definition of Artificial Intelligence for Drug Discovery
1.1.2. Market Segmentation
1.1.3. List of Abbreviations
1.2. Summary
1.2.1. Market Snapshot
1.2.2. Artificial Intelligence for Drug Discovery Market By Drug Type
1.2.2.1. Global Artificial Intelligence for Drug Discovery Market Revenue and Growth Rate Comparison By Drug Type (2015-2026)
1.2.2.2. Global Artificial Intelligence for Drug Discovery Market Revenue Share By Drug Type in 2018
1.2.2.3. Small Molecule
1.2.2.4. Large Molecule
1.2.3. Artificial Intelligence for Drug Discovery Market By Technology
1.2.3.1. Global Artificial Intelligence for Drug Discovery Market Revenue and Growth Rate Comparison By Technology (2015-2026)
1.2.3.2. Deep Learning
1.2.3.3. Machine Learning
1.2.4. Artificial Intelligence for Drug Discovery Market By Application
1.2.4.1. Global Artificial Intelligence for Drug Discovery Market Revenue and Growth Rate Comparison By Application (2015-2026)
1.2.4.2. Metabolic Disease
1.2.4.3. Cardiovascular Diseases
1.2.4.4. Oncology
1.2.4.5. Neurodegenerative Diseases
1.2.4.6. Others
1.2.5. Artificial Intelligence for Drug Discovery Market By End use
1.2.5.1. Global Artificial Intelligence for Drug Discovery Market Revenue and Growth Rate Comparison By End User (2015-2026)
1.2.5.2. Pharmaceutical & Biotechnological Companies
1.2.5.3. Academic & Research Institutes
1.2.5.4. Others
1.2.6. Artificial Intelligence for Drug Discovery Market By Geography
1.2.6.1. Global Artificial Intelligence for Drug Discovery Market Revenue and Growth Rate Comparison by Geography (2015-2026)
1.2.6.2. North America Artificial Intelligence for Drug Discovery Market Revenue and Growth Rate(2015-2026)
1.2.6.3. Europe Artificial Intelligence for Drug Discovery Market Revenue and Growth Rate(2015-2026)
1.2.6.4. Asia-Pacific Artificial Intelligence for Drug Discovery Market Revenue and Growth Rate(2015-2026)
1.2.6.5. Latin America Artificial Intelligence for Drug Discovery Market Revenue and Growth Rate(2015-2026)
1.2.6.6. Middle East and Africa (MEA)Artificial Intelligence for Drug Discovery Market Revenue and Growth Rate(2015-2026)

CHAPTER 2. MARKET DYNAMICSAND COMPETITION ANALYSIS
2.1. Market Drivers
2.2. Restraints and Challenges
2.3. Growth Opportunities
2.4. Porter’s Five Forces Analysis
2.4.1. Bargaining Power of Suppliers
2.4.2. Bargaining Power of Buyers
2.4.3. Threat of Substitute
2.4.4. Threat of New Entrants
2.4.5. Degree of Competition
2.5. Value Chain Analysis
2.6. Cost Structure Analysis
2.6.1. Raw Material and Suppliers
2.6.2. Manufacturing Process Analysis
2.7. Regulatory Compliance
2.8. Competitive Landscape, 2018
2.8.1. Player Positioning Analysis
2.8.2. Key Strategies Adopted By Leading Players

CHAPTER 3. MANUFACTURING PLANTS ANALYSIS
3.1. Capacity and Commercial Production Date of Global Artificial Intelligence for Drug Discovery Major Manufacturers in 2018
3.2. Manufacturing Plants Distribution of Global Artificial Intelligence for Drug Discovery Major Manufacturers in 2018
3.3. R&D Status and Technology Source of Global Artificial Intelligence for Drug Discovery Major Manufacturers in 2018
3.4. Raw Materials Sources Analysis of Global Artificial Intelligence for Drug Discovery Major Manufacturers in 2018

CHAPTER 4. ARTIFICIAL INTELLIGENCE FOR DRUG DISCOVERY MARKET BY DRUG TYPE
4.1. Global Artificial Intelligence for Drug Discovery Revenue By Drug Type
4.2. Small Molecule
4.2.1. Market Revenue and Growth Rate, 2015 – 2026 ($Million)
4.2.2. Market Revenue and Forecast, By Region, 2015 – 2026 ($Million)
4.3. Large Molecule
4.3.1. Market Revenue and Growth Rate, 2015 – 2026 ($Million)
4.3.2. Market Revenue and Forecast, By Region, 2015 – 2026 ($Million)

CHAPTER 5. ARTIFICIAL INTELLIGENCE FOR DRUG DISCOVERY MARKET BY TECHNOLOGY
5.1. Global Artificial Intelligence for Drug Discovery Revenue By Technology
5.2. Deep Learning
5.2.1. Market Revenue and Growth Rate, 2015 – 2026 ($Million)
5.2.2. Market Revenue and Forecast, By Region, 2015 – 2026 ($Million)
5.3. Machine Learning
5.3.1. Market Revenue and Growth Rate, 2015 – 2026 ($Million)
5.3.2. Market Revenue and Forecast, By Region, 2015 – 2026 ($Million)

CHAPTER 6. ARTIFICIAL INTELLIGENCE FOR DRUG DISCOVERY MARKET BY APPLICATION
6.1. Global Artificial Intelligence for Drug Discovery Revenue By Application
6.2. Metabolic Disease
6.2.1. Market Revenue and Growth Rate, 2015 – 2026 ($Million)
6.2.2. Market Revenue and Forecast, By Region, 2015 – 2026 ($Million)
6.3. Cardiovascular Diseases
6.3.1. Market Revenue and Growth Rate, 2015 – 2026 ($Million)
6.3.2. Market Revenue and Forecast, By Region, 2015 – 2026 ($Million)
6.4. Oncology
6.4.1. Market Revenue and Growth Rate, 2015 – 2026 ($Million)
6.4.2. Market Revenue and Forecast, By Region, 2015 – 2026 ($Million)
6.5. Neurodegenerative Diseases
6.5.1. Market Revenue and Growth Rate, 2015 – 2026 ($Million)
6.5.2. Market Revenue and Forecast, By Region, 2015 – 2026 ($Million)
6.6. Others
6.6.1. Market Revenue and Growth Rate, 2015 – 2026 ($Million)
6.6.2. Market Revenue and Forecast, By Region, 2015 – 2026 ($Million)

CHAPTER 7. ARTIFICIAL INTELLIGENCE FOR DRUG DISCOVERY MARKET By END USE
7.1. Global Artificial Intelligence for Drug Discovery Revenue By End Use
7.2. Pharmaceutical & Biotechnological Companies
7.2.1. Market Revenue and Growth Rate, 2015 – 2026 ($Million)
7.2.2. Market Revenue and Forecast, By Region, 2015 – 2026 ($Million)
7.3. Academic & Research Institutes
7.3.1. Market Revenue and Growth Rate, 2015 – 2026 ($Million)
7.3.2. Market Revenue and Forecast, By Region, 2015 – 2026 ($Million)
7.4. Others
7.4.1. Market Revenue and Growth Rate, 2015 – 2026 ($Million)
7.4.2. Market Revenue and Forecast, By Region, 2015 – 2026 ($Million)

CHAPTER 8. NORTH AMERICA ARTIFICIAL INTELLIGENCE FOR DRUG DISCOVERY MARKET BY COUNTRY
8.1. North America Artificial Intelligence for Drug Discovery Market Revenue and Growth Rate, 2015 – 2026 ($Million)
8.2. North America Artificial Intelligence for Drug Discovery Market Revenue Share Comparison, 2015 & 2026 (%)
8.3. U.S.
8.3.1. U.S. Artificial Intelligence for Drug Discovery Market Revenue and Forecast By Drug Type, 2015 – 2026 ($Million)
8.3.2. Market Revenue and Forecast By Technology, 2015 – 2026 ($Million)
8.3.3. Market Revenue and Forecast By Application, 2015 – 2026 ($Million)
8.3.4. Market Revenue and Forecast By End Use, 2015 – 2026 ($Million)
8.4. Canada
8.4.1. Market Revenue and Forecast By Drug Type, 2015 – 2026 ($Million)
8.4.2. Market Revenue and Forecast By Technology, 2015 – 2026 ($Million)
8.4.3. Market Revenue and Forecast By Application, 2015 – 2026 ($Million)
8.4.4. Market Revenue and Forecast By End Use, 2015 – 2026 ($Million)

CHAPTER 9. EUROPE ARTIFICIAL INTELLIGENCE FOR DRUG DISCOVERY MARKET BY COUNTRY
9.1. Europe Artificial Intelligence for Drug Discovery Market Revenue and Growth Rate, 2015 – 2026 ($Million)
9.2. Europe Artificial Intelligence for Drug Discovery Market Revenue Share Comparison, 2015 & 2026 (%)
9.3. UK
9.3.1. Market Revenue and Forecast By Drug Type, 2015 – 2026 ($Million)
9.3.2. Market Revenue and Forecast By Technology, 2015 – 2026 ($Million)
9.3.3. Market Revenue and Forecast By Application, 2015 – 2026 ($Million)
9.3.4. Market Revenue and Forecast By End Use, 2015 – 2026 ($Million)
9.4. Germany
9.4.1. Market Revenue and Forecast By Drug Type, 2015 – 2026 ($Million)
9.4.2. Market Revenue and Forecast By Technology, 2015 – 2026 ($Million)
9.4.3. Market Revenue and Forecast By Application, 2015 – 2026 ($Million)
9.4.4. Market Revenue and Forecast By End Use, 2015 – 2026 ($Million)
9.5. France
9.5.1. Market Revenue and Forecast By Drug Type, 2015 – 2026 ($Million)
9.5.2. Market Revenue and Forecast By Technology, 2015 – 2026 ($Million)
9.5.3. Market Revenue and Forecast By Application, 2015 – 2026 ($Million)
9.5.4. Market Revenue and Forecast By End Use, 2015 – 2026 ($Million)
9.6. Spain
9.6.1. Market Revenue and Forecast By Drug Type, 2015 – 2026 ($Million)
9.6.2. Market Revenue and Forecast By Technology, 2015 – 2026 ($Million)
9.6.3. Market Revenue and Forecast By Application, 2015 – 2026 ($Million)
9.6.4. Market Revenue and Forecast By End Use, 2015 – 2026 ($Million)
9.7. Rest of Europe
9.7.1. Market Revenue and Forecast By Drug Type, 2015 – 2026 ($Million)
9.7.2. Market Revenue and Forecast By Technology, 2015 – 2026 ($Million)
9.7.3. Market Revenue and Forecast By Application, 2015 – 2026 ($Million)
9.7.4. Market Revenue and Forecast By End Use, 2015 – 2026 ($Million)

CHAPTER 10. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE FOR DRUG DISCOVERY MARKET BY COUNTRY
10.1. Asia-Pacific Artificial Intelligence for Drug Discovery Market Revenue and Growth Rate, 2015 – 2026 ($Million)
10.2. Asia-Pacific Artificial Intelligence for Drug Discovery Market Revenue Share Comparison, 2015 & 2026 (%)
10.3. China
10.3.1. Market Revenue and Forecast By Drug Type, 2015 – 2026 ($Million)
10.3.2. Market Revenue and Forecast By Technology, 2015 – 2026 ($Million)
10.3.3. Market Revenue and Forecast By Application, 2015 – 2026 ($Million)
10.3.4. Market Revenue and Forecast By End Use, 2015 – 2026 ($Million)
10.4. Japan
10.4.1. Market Revenue and Forecast By Drug Type, 2015 – 2026 ($Million)
10.4.2. Market Revenue and Forecast By Technology, 2015 – 2026 ($Million)
10.4.3. Market Revenue and Forecast By Application, 2015 – 2026 ($Million)
10.4.4. Market Revenue and Forecast By End Use, 2015 – 2026 ($Million)
10.5. India
10.5.1. Market Revenue and Forecast By Drug Type, 2015 – 2026 ($Million)
10.5.2. Market Revenue and Forecast By Technology, 2015 – 2026 ($Million)
10.5.3. Market Revenue and Forecast By Application, 2015 – 2026 ($Million)
10.5.4. Market Revenue and Forecast By End Use, 2015 – 2026 ($Million)
10.6. Australia
10.6.1. Market Revenue and Forecast By Drug Type, 2015 – 2026 ($Million)
10.6.2. Market Revenue and Forecast By Technology, 2015 – 2026 ($Million)
10.6.3. Market Revenue and Forecast By Application, 2015 – 2026 ($Million)
10.6.4. Market Revenue and Forecast By End Use, 2015 – 2026 ($Million)
10.7. South Korea
10.7.1. Market Revenue and Forecast By Drug Type, 2015 – 2026 ($Million)
10.7.2. Market Revenue and Forecast By Technology, 2015 – 2026 ($Million)
10.7.3. Market Revenue and Forecast By Application, 2015 – 2026 ($Million)
10.7.4. Market Revenue and Forecast By End Use, 2015 – 2026 ($Million)
10.8. Rest of Asia-Pacific
10.8.1. Market Revenue and Forecast By Drug Type, 2015 – 2026 ($Million)
10.8.2. Market Revenue and Forecast By Technology, 2015 – 2026 ($Million)
10.8.3. Market Revenue and Forecast By Application, 2015 – 2026 ($Million)
10.8.4. Market Revenue and Forecast By End Use, 2015 – 2026 ($Million)

CHAPTER 11. LATIN AMERICA ARTIFICIAL INTELLIGENCE FOR DRUG DISCOVERY MARKET BY COUNTRY
11.1. Latin America Artificial Intelligence for Drug Discovery Market Revenue and Growth Rate, 2015 – 2026 ($Million)
11.2. Latin America Artificial Intelligence for Drug Discovery Market Revenue Share Comparison, 2015 & 2026 (%)
11.3. Brazil
11.3.1. Market Revenue and Forecast By Drug Type, 2015 – 2026 ($Million)
11.3.2. Market Revenue and Forecast By Technology, 2015 – 2026 ($Million)
11.3.3. Market Revenue and Forecast By Application, 2015 – 2026 ($Million)
11.3.4. Market Revenue and Forecast By End Use, 2015 – 2026 ($Million)
11.4. Mexico
11.4.1. Market Revenue and Forecast By Drug Type, 2015 – 2026 ($Million)
11.4.2. Market Revenue and Forecast By Technology, 2015 – 2026 ($Million)
11.4.3. Market Revenue and Forecast By Application, 2015 – 2026 ($Million)
11.4.4. Market Revenue and Forecast By End Use, 2015 – 2026 ($Million)
11.5. Rest of Latin America
11.5.1. Market Revenue and Forecast By Drug Type, 2015 – 2026 ($Million)
11.5.2. Market Revenue and Forecast By Technology, 2015 – 2026 ($Million)
11.5.3. Market Revenue and Forecast By Application, 2015 – 2026 ($Million)
11.5.4. Market Revenue and Forecast By End Use, 2015 – 2026 ($Million)

CHAPTER 12. MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE FOR DRUG DISCOVERY MARKET BY COUNTRY
12.1. Middle East & Africa Artificial Intelligence for Drug Discovery Market Revenue and Growth Rate, 2015 – 2026 ($Million)
12.2. Middle East & Africa Artificial Intelligence for Drug Discovery Market Revenue Share Comparison, 2015 & 2026 (%)
12.3. GCC
12.3.1. Market Revenue and Forecast By Drug Type, 2015 – 2026 ($Million)
12.3.2. Market Revenue and Forecast By Technology, 2015 – 2026 ($Million)
12.3.3. Market Revenue and Forecast By Application, 2015 – 2026 ($Million)
12.3.4. Market Revenue and Forecast By End Use, 2015 – 2026 ($Million)
12.4. South Africa
12.4.1. Market Revenue and Forecast By Drug Type, 2015 – 2026 ($Million)
12.4.2. Market Revenue and Forecast By Technology, 2015 – 2026 ($Million)
12.4.3. Market Revenue and Forecast By Application, 2015 – 2026 ($Million)
12.4.4. Market Revenue and Forecast By End Use, 2015 – 2026 ($Million)
12.5. Rest of Middle East & Africa
12.5.1. Market Revenue and Forecast By Drug Type, 2015 – 2026 ($Million)
12.5.2. Market Revenue and Forecast By Technology, 2015 – 2026 ($Million)
12.5.3. Market Revenue and Forecast By Application, 2015 – 2026 ($Million)
12.5.4. Market Revenue and Forecast By End Use, 2015 – 2026 ($Million)

CHAPTER 13. COMPANY PROFILE
13.1. Atomwise, Inc.
13.1.1. Company Snapshot
13.1.2. Overview
13.1.3. Financial Overview
13.1.4. Type Portfolio
13.1.5. Key Developments
13.1.6. Strategies
13.2. Insilico Medicine
13.2.1. Company Snapshot
13.2.2. Overview
13.2.3. Financial Overview
13.2.4. Type Portfolio
13.2.5. Key Developments
13.2.6. Strategies
13.3. BIOAGE
13.3.1. Company Snapshot
13.3.2. Overview
13.3.3. Financial Overview
13.3.4. Type Portfolio
13.3.5. Key Developments
13.3.6. Strategies
13.4. Numerate
13.4.1. Company Snapshot
13.4.2. Overview
13.4.3. Financial Overview
13.4.4. Type Portfolio
13.4.5. Key Developments
13.4.6. Strategies
13.5. NuMedii, Inc.
13.5.1. Company Snapshot
13.5.2. Overview
13.5.3. Financial Overview
13.5.4. Type Portfolio
13.5.5. Key Developments
13.5.6. Strategies
13.6. Envisagenics
13.6.1. Company Snapshot
13.6.2. Overview
13.6.3. Financial Overview
13.6.4. Type Portfolio
13.6.5. Key Developments
13.6.6. Strategies
13.7. Cloud Pharmaceuticals, Inc.
13.7.1. Company Snapshot
13.7.2. Overview
13.7.3. Financial Overview
13.7.4. Type Portfolio
13.7.5. Key Developments
13.7.6. Strategies
13.8. BenevolentAI
13.8.1. Company Snapshot
13.8.2. Overview
13.8.3. Financial Overview
13.8.4. Type Portfolio
13.8.5. Key Developments
13.8.6. Strategies
13.9. twoXAR
13.9.1. Company Snapshot
13.9.2. Overview
13.9.3. Financial Overview
13.9.4. Type Portfolio
13.9.5. Key Developments
13.9.6. Strategies
13.10. Exscientia
13.10.1. Company Snapshot
13.10.2. Overview
13.10.3. Financial Overview
13.10.4. Type Portfolio
13.10.5. Key Developments
13.10.6. Strategies
13.11. Others
13.11.1. Company Snapshot
13.11.2. Overview
13.11.3. Financial Overview
13.11.4. Type Portfolio
13.11.5. Key Developments
13.11.6. Strategies

CHAPTER 14. RESEARCH APPROACH
14.1. Research Methodology
14.1.1. Initial Data Search
14.1.2. Secondary Research
14.1.3. Primary Research
14.2. Assumptions and Scope

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