AI in Drug Discovery Market Soars $7.1 Billion by 2030

Vantage Market Research has recently published a research report titled, "Global AI in Drug Discovery Market Report, History and Forecast 2023-2030, Breakdown Data by Companies, Key Regions, Types and Application" assessing various factors impacting its trajectory. The global AI in Drug Discovery Market report offers a high-quality, accurate, and comprehensive research study to equip players with valuable insights for making strategic business choices.

Based on the findings of the report, the global demand for the AI in Drug Discovery Market was registered as USD 1.3 Billion in 2022, and it is expected that by 2030 the market demand will be USD 7.1 Billion. The expected growth rate for the market during the forecast period, i.e., from 2023 to 2030, is 23.72%.

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The research analysts have provided deep segmental analysis of the global AI in Drug Discovery Market on the basis of type, application, and geography. The vendor landscape is also shed light upon to inform readers about future changes in the market competition. As part of competitive analysis, the report includes detailed company profiling of top players of the global AI in Drug Discovery Market. Players can also use the value chain analysis and Porter's Five Forces analysis offered in the report for strengthening their position in the global AI in Drug Discovery Market.

AI in Drug Discovery Market by Top Manufacturers (2023-2030)

IBM Corporation (US), Microsoft (US), and Google (US), NVIDIA Corporation (US), Atomwise, Inc. (US), Deep Genomics (Canada), Cloud Pharmaceuticals (US), Insilico Medicine (US), BenevolentAI (UK), Exscientia (UK), Cyclica (Canada), BIOAGE (US), Numerate (US), NuMedii (US), Envisagenics (US), twoXAR (US), OWKIN, Inc. (US), XtalPi (US), Verge Genomics (US), and BERG LLC (US).

Leading players of the global AI in Drug Discovery Market are analyzed taking into account their market share, recent developments, new product launches, partnerships, mergers or acquisitions, and markets served. We also provide an exhaustive analysis of their product portfolios to explore the products and applications they concentrate on when operating in the global AI in Drug Discovery Market. Furthermore, the report offers two separate market forecasts - one for the production side and another for the consumption side of the global AI in Drug Discovery Market. It also provides useful recommendations for new as well as established players of the global AI in Drug Discovery Market.

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Top Report Findings

Market Forecasts: It includes reliable forecasts for the size and CAGR of the global AI in Drug Discovery Market.
Executive Summary: It provides an overview of the entire market research study and quick information on the global AI in Drug Discovery Industry.
Marketing Strategy Analysis: It includes thorough analysis of downstream customers, distributors, and sales channels.
Market Influence Factors Analysis: It includes Porter's Five Forces Analysis of the global AI in Drug Discovery Industry and an in-depth study on market risks, challenges, opportunities, and other dynamics.
Other Analysis: It provides industrial chain analysis, raw materials analysis, and manufacturing cost structure analysis of the global AI in Drug Discovery Market.
Forecast by Segment: It includes verified market size and CAGR forecasts for product and application segments of the global AI in Drug Discovery Market.
Outlook by Region: This section deals with the global AI in Drug Discovery Industry outlook by each region studied by the research analysts.
Major Companies: It includes deep company profiling of leading players in the global AI in Drug Discovery Industry based on market share, recent developments, technology, future plans, and key strategies.
Research Methodology: Here, the report gives a disclaimer and provides author details, data sources, and research approach used for the study on the global AI in Drug Discovery Market.
Recommendations: Players can use the recommendations provided in the report to increase their competitiveness in the global AI in Drug Discovery Market.
Appendix: It covers a disclaimer, author details, data sources, research approach, and research methodology.

Various factors are responsible for the AI in Drug Discovery Industry growth trajectory, which is studied at length in the report. In addition, the report lists the restraints that are posing a threat to the global AI in Drug Discovery Market. It also gauges the bargaining power of suppliers and buyers, the threat from new entrants and product substitutes, and the degree of competition prevailing in the market. The influence of the latest government guidelines is also analysed in detail in the report. It studies the AI in Drug Discovery Market trajectory between forecast periods.

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The key questions answered in this report:

What will be the Market Size and Growth Rate in the forecast year?
What are the Key Factors driving AI in Drug Discovery Market?
What are the Trending Factors influencing the market shares?
What are the Risks and Challenges in front of the AI in Drug Discovery Industry?
Who are the Key Vendors in AI in Drug Discovery Market?
What is the Key Outcomes of Porter’s five forces model?
Which are the Global Opportunities for Expanding the AI in Drug Discovery Market?

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