Artificial Intelligence For Drug Development and Discovery Market by Type (Target Identification, Molecule Screening, De Novo Drug Design & Drug Optimization, and Preclinical & Clinical Testing), Indication, (Oncology, Neurology, Infectious Disease and Others), and End User (Pharmaceutical & Biotechnology Companies, and Contract Research Organization): Global Opportunity Analysis and Industry Forecast, 20192027
- Published Date: 2020-11-18
- Report ID: 18318
- Pages: 210
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Format:
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 the market growth. The increasing demand for cloud-based software that enables the researcher to design drugs quickly and accurately is expected to drive the 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 the 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
o U.S.
o Canada
Europe
o Germany
o France
o UK
o Rest of Europe
Asia Pacific
o Japan
o China
o India
o Australia
o Rest of Asia-Pacific
LAMEA
o Latin America
o 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
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. Porters five 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
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