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Artificial Intelligence For Drug Development and Discovery Market by Type, Indication, and End User: Global Opportunity Analysis and Industry Forecast, 2019-2027

  • ID: 5134084
  • Report
  • June 2020
  • Region: Global
  • 210 pages
  • Allied Analytics LLP

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FEATURED COMPANIES

  • Alphabet Inc
  • Atomwise Inc
  • Benevolent AI
  • Cloud Pharmaceutical
  • Deep Genomics
  • Exscientia
  • MORE
The artificial intelligence for drug discovery and development market was valued at $520 million in 2019 and is projected to reach $4,815 million by 2027, registering a CAGR of 31.6% from 2020 to 2027. Artificial intelligence (AI) is science and engineering adopted to design intelligent machines, especially intelligent computer programs. AI is an intelligent system that relates various human intelligence based functions such as reasoning, learning, and problem-solving skills on different disciplines such as biology, computer science, psychology, mathematics, linguistics, and engineering. In the healthcare industry, AI is applicable in medication management, treatment plans, drug discovery& developments and others.

Drug discovery& development includes several processes and phases that demand a huge amount of funds. Furthermore, clinical trials and approval of the drug in the market might be a challenging task. Increase in number of collaborations between pharmaceutical & biotech companies and AI providers are the major driver for this market. Artificial intelligence decreases a large amount of time and cost utilized in the drug discovery and development process, which is mainly influencing market growth. The increasing demand for cloud-based software that enables the researcher to design drugs quickly and accurately is expected to drive market growth. Moreover, the integration of artificial intelligence (AI) and machine learning approaches within the life science R&D industry is making drug discovery and development more innovative, time-effective and cost-effective.

The artificial intelligence for drug discovery and development market is segmented on the type, indication, end user and region. By type, it is divided into target identification, molecules screening, de novo drug design &drug optimization and preclinical &clinical testing. On the basis of indication, it is classified into oncology, infectious disease, neurology, and others. By end user, it is segmented into pharmaceutical & biotechnology companies, and CROs.

Region wise, the market is analyzed across North America (US, Canada), Europe (Germany, France, UK, Rest of Europe), Asia-Pacific (Japan, China, Australia, India, Rest of Asia-Pacific), and LAMEA (Latin America and Middle East and Africa).North America held the major share of the artificial intelligence for drug discovery and development market in 2019 and is expected to continue its dominance during the forecast period, owing to strong economies in the U.S. and Canada; high adoption rate of AI technologies due to large number of investments to boost the drug discovery industry; and large number of cross industry collaborations and partnerships majorly fuels market growth. However, Asia-Pacific is expected to grow at the highest CAGR during the forecast period, owing to rise in adoption of advanced AI technologies, and growth in focus of major players on increasing their presence in emerging Asian countries.

KEY MARKET SEGMENTS

By Type
  • Target Identification
  • Molecule Screening
  • De Novo Drug Design and Drug Optimization
  • Preclinical and Clinical Testing
By Indication
  • Oncology
  • Infectious Disease
  • Neurology
  • Others
By End User
  • Pharmaceutical and Biotechnology Companies.
  • Contract Research Organization (CROs).
By Geography
  • North America
  • U.S.
  • Canada
  • Europe
  • Germany
  • France
  • UK
  • Rest of Europe
  • Asia Pacific
  • Japan
  • China
  • India
  • Australia
  • Rest of Asia-Pacific
  • LAMEA
  • Latin America
  • Middle East & Africa
LIST OF KEY PLAYERS PROFILED IN THE REPORT
  • Alphabet Inc.
  • Atomwise, Inc
  • Benevolent AI
  • Cloud Pharmaceutical
  • Deep Genomics
  • Exscientia
  • Insilico Medicine Inc.
  • Microsoft Corporation
  • Nvidia Corporation
Note: Product cover images may vary from those shown

FEATURED COMPANIES

  • Alphabet Inc
  • Atomwise Inc
  • Benevolent AI
  • Cloud Pharmaceutical
  • Deep Genomics
  • Exscientia
  • MORE
Chapter 1: Introduction
1.1. Report Description
1.1. Key Benefits for Stakeholders
1.2. Key Market Segments
1.2.1. List of Key Players Profiled in the Report
1.3. Research Methodology
1.3.1. Secondary Research
1.3.2. Primary Research
1.3.3. Analyst Tools and Models

Chapter 2: Executive Summary
2.1. CXO Perspective

Chapter 3: Market Overview
3.1. Market Definition and Scope
3.2. Key Findings
3.2.1. Top Investment Pockets
3.2.2. Top Winning Strategies
3.3. Top Player Positioning, 2019
3.4. Porter’sFive Forces Analysis
3.5. Market Dynamics
3.5.1. Drivers
3.5.1.1. Growing Number of Cross Industry Collaborations and Partnerships
3.5.1.2. Artificial Intelligence Reduces Cost and Time Utilized in the Drug Discovery& Development Process.
3.5.2. Restraints
3.5.2.1. Lack of Skilled Professionals
3.5.2.2. Lack of Data Sets in the Field of Drug Discovery
3.5.3. Opportunity
3.5.3.1. Increase in Awareness Related to Artificial Intelligence
3.5.3.2. Untapped Market in Developing Regions
3.5.4. Impact Analysis

Chapter 4: Artificial Intelligence for Drug Discovery and Development Market, by Type
4.1. Overview
4.1.1. Market Size and Forecast
4.2. Target Identification
4.2.1. Key Market Trends, Growth Factors, and Opportunities
4.2.2. Market Size and Forecast, by Region
4.2.3. Market Analysis, by Country
4.3. Molecule Screening
4.3.1. Key Market Trends, Growth Factors, and Opportunities
4.3.2. Market Size and Forecast, by Region
4.3.3. Market Analysis, by Country
4.4. De Novo Drug Design and Drug Optimization
4.4.1. Key Market Trends, Growth Factors, and Opportunities
4.4.2. Market Size and Forecast, by Region
4.4.3. Market Analysis, by Country
4.5. Preclinical and Clinical Testing
4.5.1. Key Market Trends, Growth Factors, and Opportunities
4.5.2. Market Size and Forecast, by Region
4.5.3. Market Analysis, by Country

Chapter 5: Artificial Intelligence for Drug Discovery and Developmentmarket, by Indication
5.1. Overview
5.1.1. Market Size and Forecast
5.2. Oncology
5.2.1. Market Size and Forecast, by Region
5.2.2. Market Analysis, by Country
5.3. Neurology
5.3.1. Market Size and Forecast, by Region
5.3.2. Market Analysis, by Country
5.4. Infectious Disease
5.4.1. Market Size and Forecast, by Region
5.4.2. Market Analysis, by Country
5.5. Others
5.5.1. Market Size and Forecast, by Region
5.5.2. Market Analysis, by Country

Chapter 6: Artificial Intelligence for Drug Discovery and Development, by End-user
6.1. Overview
6.1.1. Market Size and Forecast
6.2. Pharmaceutical and Biotechnology Companies
6.2.1. Market Size and Forecast, by Region
6.2.2. Market Analysis, by Country
6.3. Contract Research Organization
6.3.1. Market Size and Forecast, by Region
6.3.2. Market Analysis, by Country

Chapter 7: Global Artificial Intelligence for Drug Discovery and Development Market, by Region
7.1. Overview
7.1.1. Market Size and Forecast
7.2. North America
7.2.1. Key Market Trends, Growth Factors, and Opportunities
7.2.2. North America Artificial Intelligence for Drug Discovery and Development , by Country
7.2.2.1. U. S.
7.2.2.1.1. U. S. Artificial Intelligence for Drug Discovery and Development Market, by Type
7.2.2.1.2. U. S Artificial Intelligence for Drug Discovery and Development Market, by Indication
7.2.2.1.3. U. S. Artificial Intelligence for Drug Discovery and Development Market, by End-user
7.2.2.2. Canada
7.2.2.2.1. Canada Artificial Intelligence for Drug Discovery and Development Market, by Type
7.2.2.2.2. Canada Artificial Intelligence for Drug Discovery and Development Market, by Indication
7.2.2.2.3. Canada Artificial Intelligence for Drug Discovery and Development Market, by End-user
7.2.3. North America Artificial Intelligence for Drug Discovery and Development Market, by Type
7.2.4. North America Artificial Intelligence for Drug Discovery and Development , by Indication
7.2.5. North America Artificial Intelligence for Drug Discovery and Development , by End-user
7.3. Europe
7.3.1. Key Market Trends, Growth Factors, and Opportunities
7.3.2. Europe Artificial Intelligence for Drug Discovery and Development , by Country
7.3.2.1. UK Artificial Intelligence for Drug Discovery and Development Market, by Type
7.3.2.1.1. UK Artificial Intelligence for Drug Discovery and Development Market, by Type
7.3.2.1.2. UK Artificial Intelligence for Drug Discovery and Development Market, by Indication
7.3.2.1.3. UK Artificial Intelligence for Drug Discovery and Development Market, by End-user
7.3.2.2. Germany
7.3.2.2.1. Germany Artificial Intelligence for Drug Discovery and Development Market, by Type
7.3.2.2.2. Germany Artificial Intelligence for Drug Discovery and Development Market, by Indication
7.3.2.2.3. Germany Artificial Intelligence for Drug Discovery and Development Market, by End-user
7.3.2.3. France
7.3.2.3.1. France Artificial Intelligence for Drug Discovery and Development Market, by Type
7.3.2.3.2. France Artificial Intelligence for Drug Discovery and Development Market, by Indication
7.3.2.3.3. France Artificial Intelligence for Drug Discovery and Development Market, by End-user
7.3.2.4. Rest of Europe
7.3.2.4.1. Rest of Europe Artificial Intelligence for Drug Discovery and Development Market, by Type
7.3.2.4.2. Rest of Europe Artificial Intelligence for Drug Discovery and Development Market, by Indication
7.3.2.4.3. Rest of Europe Artificial Intelligence for Drug Discovery and Development Market, by End-user
7.3.3. Europe Artificial Intelligence for Drug Discovery and Development , by Type
7.3.4. Europe Artificial Intelligence for Drug Discovery and Development , by Indication
7.3.5. Europe Artificial Intelligence for Drug Discovery and Development , by End-user
7.4. Asia-Pacific
7.4.1. Key Market Trends, Growth Factors, and Opportunities
7.4.2. Asia-Pacific Artificial Intelligence for Drug Discovery and Development , by Country
7.4.2.1. Japan
7.4.2.1.1. Japan Artificial Intelligence for Drug Discovery and Development Market, by Type
7.4.2.1.2. Japan Artificial Intelligence for Drug Discovery and Development Market, by Indication
7.4.2.1.3. Japan Artificial Intelligence for Drug Discovery and Development Market, by End-user
7.4.2.2. China
7.4.2.2.1. China Artificial Intelligence for Drug Discovery and Development Market, by Type
7.4.2.2.2. China Artificial Intelligence for Drug Discovery and Development Market, by Indication
7.4.2.2.3. China Artificial Intelligence for Drug Discovery and Development Market, by End-user
7.4.2.3. Australia
7.4.2.3.1. . Australia Artificial Intelligence for Drug Discovery and Development Market, by Type
7.4.2.3.2. Australia Artificial Intelligence for Drug Discovery and Development Market, by Indication
7.4.2.3.3. Australia Artificial Intelligence for Drug Discovery and Development Market, by End-user
7.4.2.4. India
7.4.2.4.1. India Artificial Intelligence for Drug Discovery and Development Market, by Type
7.4.2.4.2. India Artificial Intelligence for Drug Discovery and Development Market, by Indication
7.4.2.4.3. India Artificial Intelligence for Drug Discovery and Development Market, by End-user
7.4.2.5. Rest of Asia-Pacific
7.4.2.5.1. Rest of Asia-Pacific Artificial Intelligence for Drug Discovery and Development Market, by Type
7.4.2.5.2. Rest of Asia-Pacific Artificial Intelligence for Drug Discovery and Development Market, by Indication
7.4.2.5.3. Rest of Asia-Pacific Artificial Intelligence for Drug Discovery and Development Market, by End-user
7.4.3. Asia-Pacific Artificial Intelligence for Drug Discovery and Development , by Type
7.4.4. Asia-Pacific Artificial Intelligence for Drug Discovery and Development , by Indication
7.4.5. Asia-Pacific Artificial Intelligence for Drug Discovery and Development , by End-user
7.5. LAMEA
7.5.1. Key Market Trends, Growth Factors, and Opportunities
7.5.2. LAMEA Artificial Intelligence for Drug Discovery and Development , by Country
7.5.2.1. Latin America
7.5.2.1.1. Latin America Artificial Intelligence for Drug Discovery and Development Market, by Type
7.5.2.1.2. Latin America Artificial Intelligence for Drug Discovery and Development Market, by Indication
7.5.2.1.3. Latin America Artificial Intelligence for Drug Discovery and Development Market, by End-user
7.5.2.2. Middle East and Africa
7.5.2.2.1. Middle East and Africa Artificial Intelligence for Drug Discovery and Development Market, by Type
7.5.2.2.2. Middle East and Africa Artificial Intelligence for Drug Discovery and Development Market, by Indication
7.5.2.2.3. Middle East and Africa Artificial Intelligence for Drug Discovery and Development Market, by End-user

Chapter 8: Company Profiles
8.1. Alphabet Inc.
8.1.1. Company Overview
8.1.2. Company Snapshot
8.1.3. Operating Business Segments
8.1.4. Product Portfolio
8.1.5. Business Performance
8.2. Atomwise, Inc.
8.2.1. Company Overview
8.2.2. Company Snapshot
8.2.3. Operating Business Segment
8.2.4. Product Portfolio
8.2.5. Key Strategic Moves and Developments
8.3. Benevolent Ai
8.3.1. Company Overview
8.3.2. Company Snapshot
8.3.3. Operating Business Segment
8.3.4. Product Portfolio
8.3.5. Key Strategic Moves and Developments
8.4. Cloud Pharmaceutical
8.4.1. Company Overview
8.4.2. Company Snapshot
8.4.3. Operating Business Segment
8.4.4. Product Portfolio
8.4.5. Key Strategic Moves and Developments
8.5. Deep Genomics
8.5.1. Company Overview
8.5.2. Company Snapshot
8.5.3. Operating Business Segment
8.5.4. Product Portfolio
8.6. Exscientia.
8.6.1. Company Overview
8.6.2. Company Snapshot
8.6.3. Operating Business Segment
8.6.4. Product Portfolio
8.6.5. Key Strategic Moves and Developments
8.7. IBM Corporation
8.7.1. Company Overview
8.7.2. Company Snapshot
8.7.3. Operating Business Segments
8.7.4. Product Portfolio
8.7.5. Business Performance
8.7.6. Key Strategic Moves and Developments
8.8. Insilico Medicine Inc.
8.8.1. Company Overview
8.8.2. Company Snapshot
8.8.3. Operating Business Segment
8.8.4. Product Portfolio
8.8.5. Key Strategic Moves and Developments
8.9. Microsoft Corporation
8.9.1. Company Overview
8.9.2. Company Snapshot
8.9.3. Operating Business Segments
8.9.4. Product Portfolio
8.9.5. Business Performance
8.9.6. Key Strategic Moves and Developments
8.10. Nvidia Corporation
8.10.1. Company Overview
8.10.2. Company Snapshot
8.10.3. Operating Business Segments
8.10.4. Product Portfolio
8.10.5. Business Performance
Note: Product cover images may vary from those shown
  • Alphabet Inc
  • Atomwise Inc
  • Benevolent AI
  • Cloud Pharmaceutical
  • Deep Genomics
  • Exscientia
  • IBM Corporation
  • Insilico Medicine Inc
  • Microsoft Corporation
  • Nvidia Corporation
Note: Product cover images may vary from those shown

The analyst offers exhaustive research and analysis based on a wide variety of factual inputs, which largely include interviews with industry participants, reliable statistics, and regional intelligence. The in-house industry experts play an instrumental role in designing analytic tools and models, tailored to the requirements of a particular industry segment. The primary research efforts include reaching out participants through mail, tele-conversations, referrals, professional networks, and face-to-face interactions.

They are also in professional corporate relations with various companies that allow them greater flexibility for reaching out to industry participants and commentators for interviews and discussions.

They also refer to a broad array of industry sources for their secondary research, which typically include; however, not limited to:

  • Company SEC filings, annual reports, company websites, broker & financial reports, and investor presentations for competitive scenario and shape of the industry
  • Scientific and technical writings for product information and related preemptions
  • Regional government and statistical databases for macro analysis
  • Authentic news articles and other related releases for market evaluation
  • Internal and external proprietary databases, key market indicators, and relevant press releases for market estimates and forecast

Furthermore, the accuracy of the data will be analyzed and validated by conducting additional primaries with various industry experts and KOLs. They also provide robust post-sales support to clients.

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