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Artificial Intelligence (AI) in Drug Discovery Market MAY SEE A BIG MOVE | Microsoft Corporation, NVIDIA Corporation, IBM Corporation, Google Inc.




Sep 15, 2020



The ‘ Artificial Intelligence (AI) in Drug Discovery market’ research report added by Report Ocean, is an in-depth analysis of the latest developments, market size, status, upcoming technologies, industry drivers, challenges, regulatory policies, with key company profiles and strategies of players. The research study provides market overview; Artificial Intelligence (AI) in Drug Discovery derived key statistics, based on the market status of the manufacturers and is a valuable source of guidance and direction for companies and individuals interested in Artificial Intelligence (AI) in Drug Discovery market size forecast, Get report to understand the structure of the complete fine points (Including Full TOC, List of Tables & Figures, Chart).

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A combination of factors, including COVID-19 containment situation, end-use market recovery & Recovery Timeline of 2020/ 2021

covid-19 scenario Market Behavior/ Level of Risk and Opportunity End Industry Behavior/ Opportunity Assessment Expected Industry Recovery Timeline Business Impact Horizon
Opening of Economy by Q3 2020 xx xx xx xx
Recovery – Opening of Economy extended till Q4 2020 / Q1 2021 xx xx xx xx

 Global Artificial Intelligence (AI) in Drug Discovery Market is valued approximately at USD 260 million in 2019 and is anticipated to grow with a healthy growth rate of more than 40.7% over the forecast period 2019-2026. Artificial intelligence for drug discovery is a technology that uses distinct algorithms which add value in decision-making processes for drug discovery. The implementation of AI reduces the gap of researches and development in the drug manufacturing process and also help in the targeted of manufacturing of the drugs. For this reason, the biopharmaceutical industries are increasingly adopting AI technology to optimize the drug manufacturing process. Further, rising investment & funding in drug discovery, along with the surging need to control drug discovery & development costs and reduce time are the few factors responsible for high CAGR of the market over the forecast period. For instance, as per India Brand Equity Foundation, 2018, the Indian Government is planning a $640 million fund for boosting the drug discovery and pharmaceutical infrastructure. The initiative ‘Pharma Vision 2020′ of Indian Government has a goal for making India a major hub for drug discovery. This, in turn, is expected to accelerate the demand of artificial intelligence (AI) in drug discovery across the world. However, lack of awareness and high cost & technical limitation of AI decision-making are some major forces expected to impede the growth of global Artificial Intelligence (AI) in Drug Discovery market over the forecast period of 2020-2026.

The regional analysis of global Artificial Intelligence (AI) 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 world in terms of market share owing to the rising focus on R&D & substantial investment, along with the high awareness of the AI in drug discovery among key players located in the region. However, Asia-Pacific is anticipated to exhibit highest growth rate / CAGR over the forecast period, due to constant technological advancements in the pharmaceutical sector and increasing number of pharmaceutical manufacturers in developing countries such as China and India.

Major market player included in this report are:

Microsoft Corporation

NVIDIA Corporation

IBM Corporation

Google Inc.

Atomwise, Inc.

Deep Genomics

Cloud Pharmaceuticals, Inc.

Insilico Medicine

Benevolentai

Exscientia

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-User:

Pharmaceutical & Biotechnology Companies

Contract Research Organizations

Research Centers

Academic & Government Institutes

Target Audience of the Global Artificial Intelligence (AI) 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

A systematic step framework for How to Tackle The Situation… “MITIGATE” | “SUSTAIN” | “GROW”: Business Strategy Recovery, Scenario and Planning

Key Segments Studied in the Global Artificial Intelligence (AI) in Drug Discovery Market

Geographical Breakdown: Regional level analysis of the market, currently covering North America, Europe, China & Japan

In-Depth Qualitative Analyses Include Identification And Investigation Of The Following Aspects: Market Structure, Growth Drivers, Restraints and Challenges, Emerging Product Trends & Market Opportunities, Porter’s Fiver Forces. The report also inspects the financial standing of the leading companies, which includes gross profit, revenue generation, sales volume, sales revenue, manufacturing cost, individual growth rate, and other financial ratios. The report basically gives information about the Market trends, growth factors, limitations, opportunities, challenges, future forecasts, and details about all the key market players.

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Changing Forecasts in a Time of Crisis: explores key issues, including:

  • The heavy economic impacts of social distancing measures
  • Future changes in consumer behavior
  • The urgent need for high-frequency economic data
  • Mapping Out a Potential Recovery
  • Business Strategies During COVID-19
  • Near & Long Term Risk Outlook, Risk Assessment and Opportunities

Key questions answered: Study Explore COVID 19 Outbreak Impact Analysis

  • Market size and growth rate during forecast period.
  • Key factors driving the Market.
  • Key market trends cracking up the growth of the Market.
  • Challenges to market growth.
  • Key vendors of Market.
  • Detailed SWOT analysis.
  • Opportunities and threats faces by the existing vendors in Global Market.
  • Trending factors influencing the market in the geographical regions.
  • Strategic initiatives focusing the leading vendors.
  • PEST analysis of the market in the five major regions.
  • What should be entry strategies, countermeasures to economic impact, and marketing channels?
  • What are market dynamics?
  • What are challenges and opportunities?
  • What is economic impact on market?
  • What is market chain analysis by upstream raw materials and downstream industry?
  • What is industry considering capacity, production and production value? What will be the estimation of cost and profit? What will be market share, supply and consumption? What about import and export?
  • What is current market status? What’s market competition in this industry, both company, and country wise? What’s market analysis by taking applications and types in consideration?
  • What were capacity, production value, cost and profit?
  • Who are the global key players in this industry? What are their company profile, their product information, and contact information?
  • Which manufacturing technology is used, what are their company profile, their product information, and contact information?

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Key Points Covered in Artificial Intelligence (AI) in Drug Discovery Market Report: COVID 19 Impact Analysis

TABLE OF CONTENTS

Chapter 1.      Executive Summary

1.1.       Market Snapshot

1.2.      Global & Segmental Market Estimates & Forecasts, 2018-2026 (USD Million)

1.2.1.   Artificial Intelligence (AI) in Drug Discovery Market, by Component, 2018-2026 (USD Million)

1.2.2.   Artificial Intelligence (AI) in Drug Discovery Market, by Technology, 2018-2026 (USD Million)

1.2.3.   Artificial Intelligence (AI) in Drug Discovery Market, by Application, 2018-2026 (USD Million)

1.2.4.   Artificial Intelligence (AI) in Drug Discovery Market, by End-User, 2018-2026 (USD Million)

1.2.5.   Artificial Intelligence (AI) in Drug Discovery Market, by Region, 2018-2026 (USD Million)

1.3.      Key Trends

1.4.      Estimation Methodology

1.5.      Research Assumption

Chapter 2.      Global Artificial Intelligence (AI) 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 (AI) in Drug Discovery Market Dynamics

3.1.      Artificial Intelligence (AI) in Drug Discovery Market Impact Analysis (2018-2026)

3.1.1.   Market Drivers

3.1.2.   Market Challenges

3.1.3.   Market Opportunities

Chapter 4.      Global Artificial Intelligence (AI) in Drug Discovery Market 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 (2016-2026)

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 (AI) in Drug Discovery Market, by Component

5.1.      Market Snapshot

5.2.      Global Artificial Intelligence (AI) in Drug Discovery Market by Component, Performance – Potential Analysis

5.3.      Global Artificial Intelligence (AI) in Drug Discovery Market Estimates & Forecasts by Component 2016-2026 (USD Million)

5.4.      Artificial Intelligence (AI) in Drug Discovery Market, Sub Segment Analysis

5.4.1.   Software

5.4.2.   Services

Chapter 6.      Global Artificial Intelligence (AI) in Drug Discovery Market, by Technology

6.1.      Market Snapshot

6.2.      Global Artificial Intelligence (AI) in Drug Discovery Market by Technology, Performance – Potential Analysis

6.3.      Global Artificial Intelligence (AI) in Drug Discovery Market Estimates & Forecasts by Technology 2016-2026 (USD Million)

6.4.      Artificial Intelligence (AI) 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 (AI) in Drug Discovery Market, by Application

7.1.      Market Snapshot

7.2.      Global Artificial Intelligence (AI) in Drug Discovery Market by Application, Performance – Potential Analysis

7.3.      Global Artificial Intelligence (AI) in Drug Discovery Market Estimates & Forecasts by Application 2016-2026 (USD Million)

7.4.      Artificial Intelligence (AI) 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 (AI) in Drug Discovery Market, by End-User

8.1.      Market Snapshot

8.2.     Global Artificial Intelligence (AI) in Drug Discovery Market by End-User, Performance – Potential Analysis

8.3.     Global Artificial Intelligence (AI) in Drug Discovery Market Estimates & Forecasts by End-User 2016-2026 (USD Million)

8.4.     Artificial Intelligence (AI) in Drug Discovery Market, Sub Segment Analysis

8.4.1.   Pharmaceutical & Biotechnology Companies

8.4.2.  Contract Research Organizations

8.4.3.  Research Centers

8.4.4.  Academic & Government Institutes

Chapter 9.      Global Artificial Intelligence (AI) in Drug Discovery Market, Regional Analysis

9.1.      Artificial Intelligence (AI) in Drug Discovery Market, Regional Market Snapshot

9.2.      North America Artificial Intelligence (AI) in Drug Discovery Market

9.2.1.   U.S. Artificial Intelligence (AI) in Drug Discovery Market

9.2.1.1.            Component breakdown estimates & forecasts, 2016-2026

9.2.1.2.            Technology breakdown estimates & forecasts, 2016-2026

9.2.1.3.            Application breakdown estimates & forecasts, 2016-2026

9.2.1.4.            End-User breakdown estimates & forecasts, 2016-2026

9.2.2.  Canada Artificial Intelligence (AI) in Drug Discovery Market

9.3.      Europe Artificial Intelligence (AI) in Drug Discovery Market Snapshot

9.3.1.   U.K. Artificial Intelligence (AI) in Drug Discovery Market

9.3.2.  Germany Artificial Intelligence (AI) in Drug Discovery Market

9.3.3.  Rest of Europe Artificial Intelligence (AI) in Drug Discovery Market

9.4.      Asia-Pacific Artificial Intelligence (AI) in Drug Discovery Market Snapshot

9.4.1.   China Artificial Intelligence (AI) in Drug Discovery Market

9.4.2.  India Artificial Intelligence (AI) in Drug Discovery Market

9.4.3.  Japan Artificial Intelligence (AI) in Drug Discovery Market

9.4.4.  Rest of Asia Pacific Artificial Intelligence (AI) in Drug Discovery Market

9.5.      Latin America Artificial Intelligence (AI) in Drug Discovery Market Snapshot

9.5.1.   Brazil Artificial Intelligence (AI) in Drug Discovery Market

9.5.2.   Mexico Artificial Intelligence (AI) in Drug Discovery Market

9.6.      Rest of The World Artificial Intelligence (AI) in Drug Discovery Market

Chapter 10.    Competitive Intelligence

10.1.    Top Market Strategies

10.2.    Company Profiles

10.2.1. Microsoft 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.          Component Summary

10.2.1.5.          Recent Developments

10.2.2.            NVIDIA Corporation

10.2.3.            IBM Corporation

10.2.4.            Google Inc.

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

10.2.10.          Exscientia

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

Continued….

……..and view more in complete table of Contents

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