Global Artificial Intelligence in Drug Discovery Market Analysis by Component, by Technology (Machine Learning, Deep Learning), by Application 2020-2027 : Key Players are IBM, Google, Microsoft, Nvidia, Atomwise, Deep Genomics, Insilico Medicine

The global Artificial Intelligence in Drug Discovery market is one of the fastest-growing markets in the world. The following report contains all the statistics and facts & figures related to the global Artificial Intelligence in Drug Discovery market. Their business strategies, sales data, projections, and a host of other important data have been covered for an in-depth outlook. The report also has PEST analysis, SWOT analysis, risk analysis, and regional analysis. IBM Corporation (US), Microsoft Corporation (US), Google LLC (US), NVIDIA Corporation (US), Atomwise Inc. (US), Deep Genomics (Canada), Cloud Pharmaceuticals Inc. (US) and more - all the leading companies operating in the global Artificial Intelligence in Drug Discovery market and their business strategies have been profiled in this research report.

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.

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Major market players 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

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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

Key Points from the Table of Contents

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

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