Global Artificial Intelligence in Drug Discovery Market to reach USD 3844.2 million by 2027.

Global Artificial Intelligence in Drug Discovery Market Size study, by Component (Software, Services), by Technology (Machine Learning, Deep Learning, Others), by Application (Immuno-Oncology, Neurodegenerative Diseases, Cardiovascular Diseases, Others), by End-Use (Pharmaceutical & Biotechnology Companies, Contract Research Organizations, Research Centres, Academic & Government Institutes) and Regional Forecasts 2020-2027
Product Code:  HALHI_65545651
Chapter 1.	Executive Summary 
1.1.	Market Snapshot
1.2.	Global & Segmental Market Estimates & forecasts, 2018-2027 (USD Billion)
1.2.1.	Artificial Intelligence in Drug Discovery Market, by Region, 2018-2027 (USD Billion)
1.2.2.	Artificial Intelligence in Drug Discovery Market, by Component, 2018-2027 (USD Billion)
1.2.3.	Artificial Intelligence in Drug Discovery Market, by Technology, 2018-2027 (USD Billion)
1.2.4.	Artificial Intelligence in Drug Discovery Market, by Application, 2018-2027 (USD Billion)
1.2.5.	Artificial Intelligence in Drug Discovery Market, by End-Use, 2018-2027 (USD Billion)
1.3.	Key Trends
1.4.	Estimation Methodology
1.5.	Research Assumption
Chapter 2.	Global Artificial Intelligence in Drug Discovery Market Definition and Scope 
2.1.	Objective of the Study
2.2.	Market Definition & Scope
2.2.1.	Scope of the Study
2.2.2.	Industry Evolution
2.3.	Years Considered for the Study
2.4.	Currency Conversion Rates
Chapter 3.	Global Artificial Intelligence in Drug Discovery Market Dynamics	
3.1.	Artificial Intelligence in Drug Discovery Market Impact Analysis (2018-2027)
3.1.1.	Market Drivers
3.1.2.	Market Challenges
3.1.3.	Market Opportunities
Chapter 4.	Global Artificial Intelligence in Drug Discovery Market: Industry Analysis
4.1.	Porter’s 5 force Model
4.1.1.	Bargaining Power of Suppliers
4.1.2.	Bargaining Power of Buyers
4.1.3.	Threat of New Entrants
4.1.4.	Threat of Substitutes
4.1.5.	Competitive Rivalry
4.1.6.	Futuristic Approach to Porter’s 5 force Model (2017-2027)
4.2.	PEST Analysis
4.2.1.	Political 
4.2.2.	Economical
4.2.3.	Social 
4.2.4.	Technological 
4.3.	Investment Adoption Model
4.4.	Analyst Recommendation & Conclusion
Chapter 5.	Global Artificial Intelligence in Drug Discovery Market, by Component 
5.1.	Market Snapshot 
5.2.	Global Artificial Intelligence in Drug Discovery Market by Component, Performance - Potential Analysis
5.3.	Global Artificial Intelligence in Drug Discovery Market Estimates & forecasts by Component 2017-2027 (USD Billion)
5.4.	Artificial Intelligence in Drug Discovery Market, Sub Segment Analysis
5.4.1.	Software 
5.4.2.	 Services
Chapter 6.	Global Artificial Intelligence in Drug Discovery Market, by Technology          
6.1.	Market Snapshot 
6.2.	Global Artificial Intelligence in Drug Discovery Market by Technology, Performance - Potential Analysis
6.3.	Global Artificial Intelligence in Drug Discovery Market Estimates & forecasts by Technology 2017-2027 (USD Billion)
6.4.	Artificial Intelligence in Drug Discovery Market, Sub Segment Analysis
6.4.1.	 Machine Learning 
6.4.2.	 Deep Learning 
6.4.3.	 Others
Chapter 7.	Global Artificial Intelligence in Drug Discovery Market, by Application           
7.1.	Market Snapshot 
7.2.	Global Artificial Intelligence in Drug Discovery Market by Application, Performance - Potential Analysis
7.3.	Global Artificial Intelligence in Drug Discovery Market Estimates & forecasts by Application 2017-2027 (USD Billion)
7.4.	Artificial Intelligence in Drug Discovery Market, Sub Segment Analysis
7.4.1.	Immuno-Oncology 
7.4.2.	 Neurodegenerative Diseases 
7.4.3.	 Cardiovascular Diseases 
7.4.4.	 Others  

Chapter 8.	Global Artificial Intelligence in Drug Discovery Market, by End-Use          
8.1.	Market Snapshot 
8.2.	Global Artificial Intelligence in Drug Discovery Market by End-Use, Performance - Potential Analysis
8.3.	Global Artificial Intelligence in Drug Discovery Market Estimates & forecasts by End-Use 2017-2027 (USD Billion)
8.4.	Artificial Intelligence in Drug Discovery Market, Sub Segment Analysis
8.4.1.	Pharmaceutical & Biotechnology Companies 
8.4.2.	 Contract Research Organizations 
8.4.3.	 Research Centres 
8.4.4.	 Academic & Government Institutes

Chapter 9.	Global Artificial Intelligence in Drug Discovery Market, Regional Analysis
9.1.	Artificial Intelligence in Drug Discovery Market, Regional Market Snapshot 
9.2.	North America Artificial Intelligence in Drug Discovery Market 
9.2.1.	U.S. Artificial Intelligence in Drug Discovery Market
9.2.1.1.	 Component breakdown estimates & forecasts, 2017-2027 
9.2.1.2.	 Technology breakdown estimates & forecasts, 2017-2027 
9.2.1.3.	Application breakdown estimates & forecasts, 2017-2027 
9.2.1.4.	 End-Use breakdown estimates & forecasts, 2017-2027 
9.2.2.	Canada Artificial Intelligence in Drug Discovery Market
9.3.	Europe Artificial Intelligence in Drug Discovery Market Snapshot
9.3.1.	U.K. Artificial Intelligence in Drug Discovery Market 
9.3.2.	Germany Artificial Intelligence in Drug Discovery Market
9.3.3.	France Artificial Intelligence in Drug Discovery Market
9.3.4.	Spain Artificial Intelligence in Drug Discovery Market
9.3.5.	Italy Artificial Intelligence in Drug Discovery Market
9.3.6.	Rest of Europe Artificial Intelligence in Drug Discovery Market
9.4.	Asia-Pacific Artificial Intelligence in Drug Discovery Market Snapshot
9.4.1.	China Artificial Intelligence in Drug Discovery Market 
9.4.2.	India Artificial Intelligence in Drug Discovery Market 
9.4.3.	Japan Artificial Intelligence in Drug Discovery Market
9.4.4.	Australia Artificial Intelligence in Drug Discovery Market
9.4.5.	South Korea Artificial Intelligence in Drug Discovery Market
9.4.6.	Rest of Asia Pacific Artificial Intelligence in Drug Discovery Market
9.5.	Latin America Artificial Intelligence in Drug Discovery Market Snapshot
9.5.1.	Brazil Artificial Intelligence in Drug Discovery Market
9.5.2.	Mexico Artificial Intelligence in Drug Discovery Market
9.6.	Rest of The World Artificial Intelligence in Drug Discovery Market

Chapter 10.	Competitive Intelligence
10.1.	Top Market Strategies
10.2.	Company Profiles
10.2.1.	 IBM Corporation
10.2.1.1.	Key Information
10.2.1.2.	Overview
10.2.1.3.	Financial (Subject to Data Availability)
10.2.1.4.	Product Summary
10.2.1.5.	Recent Developments
10.2.2.	Microsoft Corporation 
10.2.3.	Google LLC 
10.2.4.	NVIDIA Corporation
10.2.5.	Atomwise, Inc. 
10.2.6.	Deep Genomics 
10.2.7.	Cloud Pharmaceuticals, Inc. 
10.2.8.	Insilico Medicine 
10.2.9.	BenevolentAI Limited 
10.2.10.	Exscientia Limited

Chapter 11.	Research Process
11.1.	Research Process
11.1.1.	Data Mining
11.1.2.	Analysis
11.1.3.	Market Estimation
11.1.4.	Validation
11.1.5.	Publishing
11.2.	Research Attributes
11.3.	Research Assumption

Global Artificial Intelligence in Drug Discovery Market is valued approximately at USD 259 million in 2019 and is anticipated to grow at a CAGR of 40.80% over the forecast period 2020-2027. Artificial Intelligence in Drug discovery has been gaining popularity as this technology adds value for scientists and researchers in the industry in decision making processes. With the rise in the number of chronic diseases such as diabetics and imbalanced blood pressure and rare diseases such as COVID-19 and Ebola, the market of Artificial Intelligence in Drug Market fuels up. Overall usage of AI worldwide has risen, accelerating the market growth. For Instance: As per Gartner in 2019, the enterprise uses of AI increased by 270% in past 4 years. AI helps to understand the disease mechanism and spread history and generate data or models for the process of discovery whereas helps the pharmaceutical industries to propel over the next few years.
Market is experiencing growth due to rise in the number of cross-industry collaboration and enhancement in the venture capital investments. For Instance: Pharmaceutical Company Bayer AG in January 2020 announced collaboration with AI in drug discovery firm Exscientia to optimize the medications for patients with treating cardiovascular and oncological diseases. Further, rising pressure on the drug manufacturers in order to reduce the price of the drugs accelerates the market growth of AI in Drug Discovery as it reduces the number of clinical failures resulting loss reduction in R&D. However, complexity to design the required model and lack of skilled workers to work with the technology are the major factors restraining the growth of the market over the forecasted period of 2020-2027.

The regional analysis of global Artificial Intelligence in Drug Discovery market is considered for the key regions such as Asia Pacific, North America, Europe, Latin America and Rest of the World. North America is the leading/significant region across the due to early adoption of Artificial Intelligence across various sectors. Whereas, Asia-Pacific is also anticipated to exhibit highest growth rate / CAGR over the forecast period 2020-2027. Factors such as rise in research and development in the pharmaceutical industries in emerging economies such as India and China would create lucrative growth prospects for the Artificial Intelligence in Drug Discovery market across Asia-Pacific region.

Major market player included in this report are:
IBM Corporation (US)
Microsoft Corporation (US)
Google LLC (US)
NVIDIA Corporation (US)
Atomwise, Inc. (US)
Deep Genomics (Canada)
Cloud Pharmaceuticals, Inc. (US)
Insilico Medicine (US)
BenevolentAI Limited (UK)
Exscientia Limited (UK)

The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming eight years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within each of the regions and countries involved in the study. Furthermore, the report also caters the detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, the report shall also incorporate available opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below:

By Component:
Software
Services
By Technology:
Machine Learning
Deep Learning
Others
By Application:
Immuno-Oncology
Neurodegenerative Diseases
Cardiovascular Diseases
Others
By End-Use:
Pharmaceutical & Biotechnology Companies
Contract Research Organizations
Research Centres
Academic & Government Institutes
By Region:
North America
U.S.
Canada
Europe
UK
Germany
France
Spain
Italy
ROE

Asia Pacific
China
India
Japan
Australia
South Korea
RoAPAC
Latin America
Brazil
Mexico
Rest of the World

Furthermore, years considered for the study are as follows:

Historical year – 2017, 2018
Base year – 2019
Forecast period – 2020 to 2027

Target Audience of the Global Artificial Intelligence in Drug Discovery Market in Market Study:

Key Consulting Companies & Advisors
Large, medium-sized, and small enterprises
Venture capitalists
Value-Added Resellers (VARs)
Third-party knowledge providers
Investment bankers
Investors


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