AI In Pharma Global Market Report 2021 by The Business Research Company is the most comprehensive report available on this market and will help gain a truly global perspective as it covers 60 geographies. The chapter on the impact – both negative and positive – of COVID-19 on the AI in pharma industry gives valuable insights on supply chain disruptions, logistical challenges, and other economic implications of the virus on the market. This includes revised market numbers according to the effects of the coronavirus and the expected AI in pharma market growth numbers 2021-2030.

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The AI In Pharma Global Market Report 2021-30 by The Business Research Company provides an in-depth analysis of the global AI in pharma market and covers both the historic period, 2015 to 2020, and the forecast period, 2020 to 2030. The report evaluates the market and major economies across the regions Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

The AI In Pharma Global Market Report 2021 covers AI in pharma market drivers, AI in pharma market trends, AI in pharma market growth rate, AI in pharma market major players, player-adopted strategies in the market, and AI in pharma market size.

The global AI in pharma market is expected to grow from $0.91 billion in 2020 to $1.27 billion in 2021 at a compound annual growth rate (CAGR) of 39%. The growth is mainly due to the companies resuming their operations and adapting to the new normal while recovering from the COVID-19 impact, which had earlier led to restrictive containment measures involving social distancing, remote working, and the closure of commercial activities that resulted in operational challenges. The market is expected to reach $5.94 billion in 2025 at a CAGR of 47%.

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The report covers the AI in pharma market segments-
1) By Technology: Context-Aware Processing, Natural Language Processing, Querying Method, Deep Learning
2) By Drug Type: Small Molecule, Large Molecules
3) By Application: Diagnosis, Clinical Trial Research, Drug Discovery, Research And Development, Epidemic Prediction

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