The Global AI in Drug Discovery Market has witnessed continuous growth in the past few years and is projected to see some stability post Q2,2020 and may grow further during the forecast period (2021-2025). The assessment provides a 360° view and insights, outlining the key outcomes of the industry, current scenario witnesses a slowdown and study aims to unique strategies followed by key players. These insights also help the business decision-makers to formulate better business plans and make informed decisions for improved profitability. In addition, the study helps venture or private players in understanding the companies more precisely to make better informed decisions. Some of the key players in the Global AI in Drug Discovery market are IBM Corporation (United States), Microsoft (United States), Google (United States), NVIDIA Corporation (United States), Atomwise, Inc. (United States), Deep Genomics (Canada), Cloud Pharmaceuticals (United States), Insilico Medicine (United States), Benevolent AI (United Kingdom) and Exscientia (United Kingdom).
What’s keeping IBM Corporation (United States), Microsoft (United States), Google (United States), NVIDIA Corporation (United States), Atomwise, Inc. (United States), Deep Genomics (Canada), Cloud Pharmaceuticals (United States), Insilico Medicine (United States), Benevolent AI (United Kingdom) and Exscientia (United Kingdom) Ahead in the Market? Benchmark yourself with strategic steps and conclusions recently published by HTF MI. Analyze COVID impact on overall Industry.
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Increasing Pressure on the Drug Manufacturer to Reduce Drug Price
Growing Number of Cross-Industry Collaborations and Partnerships
Research Applying AI to Drug Discovery is Accelerating
Limited Awareness, High Cost and Technical Limitation of AI Decision-Making
Implementation of AI reduces researches and development gap in the drug manufacturing process and help in the targeted manufacturing of the drugs.
Huge Investments in Research & Developments
Protecting Intellectual Property and Data
Al in Drug Discovery Vendors, Pharmaceutical & Healthcare Organizations, Research Institutes, Governments and Others
The Major Players Covered in this Report:
Global AI in Drug Discovery Market Overview:, Artificial intelligence for drug discovery is a technology that uses and different algorithms that value add in decision-making processes for drug discovery. The increasing cases of rare diseases and demand for personalized drugs are the major factor fueling the growth of the global Al for Drug Discovery marker. Some of the key players profiled in the study are IBM Corporation (United States), Microsoft (United States), Google (United States), NVIDIA Corporation (United States), Atomwise, Inc. (United States), Deep Genomics (Canada), Cloud Pharmaceuticals (United States), Insilico Medicine (United States), Benevolent AI (United Kingdom) and Exscientia (United Kingdom). According to Market Analyst at HTF MI, the Global AI in Drug Discovery market may see a growth rate of 39.5%, On the basis of geography, the market of AI in Drug Discovery has been segmented into . If we see Market by Technology, the sub-segment i.e. Machine Learning will boost the AI in Drug Discovery market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth. If we see Market by End-User, the sub-segment i.e. Pharmaceutical & Biotechnology will boost the AI in Drug Discovery market.
Regional Analysis for AI in Drug Discovery Market:
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For Consumer Centric Market, Survey Analysis can be included as part of customization which consider demographic factor such as Age, Gender, Occupation, Income Level or Education while gathering data. (if applicable)
Consumer Traits (If Applicable)
Ø Buying patterns (e.g. comfort & convenience, economical, pride)
Ø Buying behavior (e.g. seasonal, usage rate)
Ø Lifestyle (e.g. health conscious, family orientated, community active)
Ø Expectations (e.g. service, quality, risk, influence)
The Global AI in Drug Discovery Market study covers current status, % share, future patterns, development rate, SWOT examination, sales channels, to anticipate growth scenarios for years 2020-2025. It aims to recommend analysis of the market with regards to growth trends, prospects, and players contribution in the market development. The report size market by 5 major regions, known as, North America, Europe, Asia Pacific (includes Asia & Oceania seperately), Middle East and Africa (MEA), and Latin America.
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The AI in Drug Discovery market factors described in this report are:
-Key Strategic Developments in Global AI in Drug Discovery Market:
The research includes the key strategic activities such as R&D plans, M&A completed, agreements, new launches, collaborations, partnerships & (JV) Joint ventures, and regional growth of the key competitors operating in the market at global and regional scale.
Key Market Features in Global AI in Drug Discovery Market:
The report highlights AI in Drug Discovery market features, including revenue, weighted average regional price, capacity utilization rate, production rate, gross margins, consumption, import & export, supply & demand, cost bench-marking, market share, CAGR, and gross margin.
Analytical Market Highlights & Approach
The Global AI in Drug Discovery Market report provides the rigorously studied and evaluated data of the top industry players and their scope in the market by means of several analytical tools. The analytical tools such as Porters five forces analysis, feasibility study, SWOT analysis, and ROI analysis have been practiced reviewing the growth of the key players operating in the market.
Table of Contents :
Global AI in Drug Discovery Market Study Coverage:
It includes major manufacturers, emerging players growth story, major business segments of Global AI in Drug Discovery market, years considered, and research objectives. Additionally, segmentation on the basis of the type of product, application and technology.
Global AI in Drug Discovery Market Executive Summary
It gives a summary of overall studies, growth rate, available market, competitive landscape, market drivers, trends, and issues, and macroscopic indicators.
Global AI in Drug Discovery Market Production by Region
Global AI in Drug Discovery Market Profile of Manufacturers
Players are studied on the basis of SWOT, their products, production, value, financials, and other vital factors.
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Major Objectives Focused through this Study
• To define, describe, and forecast the Global AI in Drug Discovery market on the basis of product  , application [Immuno-oncology, Neurodegenerative Diseases, Cardiovascular Diseases, Metabolic Diseases and Others], key regions and end user
• To provide in-depth information regarding major influencing factors affecting the growth of the market (trends, drivers, restraints, opportunities, and industry-centric and regional challenges)
• To strategically analyse the micro-markets and important business segments with respect to individual growth drivers , market trends and potential, and historical contributions to the total market
• Identifying the opportunities in the market for key stakeholders and detailing the competitive landscape for market leaders
• To provide market size for various segments of the AI in Drug Discovery market with respect to major geographies, namely,
• To strategically profile the key players and analyzing their market shares and core competencies in the AI in Drug Discovery industry
• To track key developments such as product launches, expansions, agreements, partnerships, mergers & acquisitions, and R&D activities that are key factors in shaping the market
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