The Global Artificial Intelligence for Drug Discovery Market size is expected to reach around US$ 8,149 Mn by 2026 and is expected to register a CAGR of above 42% over the forecast period 2019 to 2026.
There is constant increase in number of patients suffering from chronic diseases across the globe and pharmaceutical companies are investing high on development of various drugs. Artificial Intelligence is able to assist manufacturers by providing solution to complex situations. AI is providing a new analytical approach for design and development of novel products.
Market Dynamics
Major factors expected to drive the global AI for drug discovery market are increasing number of patients suffering from chronic diseases, flourishing healthcare sector, coupled with manufacturers approach towards lowering the manufacturing cost associated to drug development. In addition, increasing investment by major players in biopharma companies and rising public and private partnerships for R&D activities are other factors expected to boost the growth of the target market. In 2018 GlaxoSmithKline plc a multinational pharmaceutical company invested US$ 300 Mn in 23 and Me a gene testing company. This deal is expected to help the company to access the database related to DNA and also information related to relations between genes and diseases which is further helpful in development of novel product.
Moreover, increasing government spending on development of present infrastructure and rising awareness related to benefits of artificial intelligence in solving complex scenario are among other factors expected to support the growth of the target market. Furthermore, manufacturers approach towards lowering the operating cost of drug discovery is another factor expected to revenue support growth.
However, lock of skilled professional and infrastructure in order to facilitate easy adoption AI is a major factor expected to hamper the growth of the global AI for drug discovery market. In addition, factor such as limited acceptance from healthcare professionals is also expected to limit the adoption of AI thus challenging the growth of market.
Increase in awareness related to artificial intelligence among pharmaceutical manufacturers, approach towards high investment in drug discovery and introduction of novel products are some factors expected to create new opportunities in terms of revenue for players operating in the global artificial intelligence for drug discovery market over the forecast period. In addition, strategic business expansion activities through partnerships and agreements are factors that are expected to revenue support the growth of target market to a certain extent.
Based on Drug type, global artificial intelligence for drug discovery market is segmented into small molecule and large molecule. The small molecule is expected to account for major revenue share due to high complicated process in drug discovery, coupled with AI helps solving complex process with accurate results and in less time
Segment Analysis by Region
The market in North America is expected to contribute significant revenue share in the global artificial intelligence for drug discovery market this can be attributed to availability of developed infrastructure in order to facilitate adoption of AI and presence of major player operating in the countries in this region. In addition, growing awareness related to AI and manufacturers approach towards lowering the cost associated to drug discovery are some other factors expected to support the growth of the target market in this region.
The market in Asia Pacific is expected to witness faster growth due to increasing government spending on development of present infrastructure in order to facilitate the advanced devices for R&D activities. In addition, rising awareness related to AI in pharmaceutical companies is another factor expected to support the growth of the target market in this region.
Competitive Landscape
The competitive scenario of artificial intelligence for drug discovery market is moderate as there is limited number of players operating with AI technology. There is high cost involved in drug discovery and implementation of artificial intelligence increases the cost of end product.
Report coverage
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Market
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Global Artificial Intelligence for Drug Discovery Market
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Analysis Period
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2015 – 2026
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Base Year
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2018
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Forecast Data
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2019 – 2026
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Market Stratification
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Drug type, Technology, Application, End Use, and Geography
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Regional Scope
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North America, Europe, Asia Pacific, Latin America, and Middle East & Africa
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Report Coverage
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Market Trends, Drivers, Restraints, Competitive Analysis, Player Profiling, Regulation Analysis
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The market research study on “Artificial Intelligence for Drug Discovery Market (Drug Type: Small Molecule and Large Molecule; Technology: Deep Learning and Machine Learning; Application: Metabolic Disease, Cardiovascular Diseases, Oncology, Neurodegenerative Diseases and others; End Use: Pharmaceutical & Biotechnological Companies, Academic & Research Institutes, and Others)– Global Industry Analysis, Market Size, Opportunities and Forecast, 2019 - 2026”, offers a detailed insights on the global artificial intelligence for drug discovery market entailing insights on its different market segments. Market dynamics with drivers, restraints and opportunities with their impact are provided in the report. The report provides insights on global artificial intelligence for drug discovery market and its segments drug type, technology, application, end use and major geographic regions. The report covers basic development policies and layouts of technology development processes. Secondly, the report covers global artificial intelligence for drug discovery market size and segment markets by drug type, technology, application, end use, and geography along with the information on companies operating in the market. The artificial intelligence for drug discovery market analysis is provided for major regional markets including North America, Europe, Asia Pacific, Latin America, and Middle East & Africa. For each region, the market size for different segments has been covered under the scope of report. The players profiled in the report include Atomwise, Inc., Insilico Medicine, BIOAGE, Numerate, NuMedii, Inc., Envisagenics, Cloud Pharmaceuticals, Inc., BenevolentAI, twoXAR, and Exscientia.
Market Segmentation
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
Market by Region
- North America
- Europe
- UK
- Germany
- France
- Spain
- Rest of Europe
- Asia Pacific
- China
- Japan
- India
- Australia
- South Korea
- Rest of Asia Pacific
- Latin America
- Brazil
- Mexico
- Rest if Latin America
- Middle East & Africa
- GCC
- South Africa
- Rest of Meddle East & Africa
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
