The AI In Pharma Global Market Report 2021-31 by The Business Research Company describes and explains the global AI in pharma market and covers 2016 to 2021, termed the historic period, and 2022 to 2026, termed the forecast period, along with further forecasts for the period 2026-2031. The report evaluates the market across each region and for the major economies within each region.

The AI In Pharma Global Market Report 2022 covers AI in pharma market drivers, AI in pharma market trends, AI in pharma market segments, AI in pharma market growth rate, AI in pharma market major players, and AI in pharma market size.

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https://www.thebusinessresearchcompany.com/report/ai-in-pharma-global-market-report

The AI in pharma market report provides in-depth analysis of the impact of COVID-19 on the global AI in pharma industry along with revised market numbers due to the effects of the coronavirus and the expected AI in pharma market growth numbers for 2022-2031.

The global AI in pharma market size is expected to grow from $0.93 billion in 2021 to $1.24 billion in 2022 at a compound annual growth rate (CAGR) of 32.3%. The change in the AI in pharma market growth trend is mainly due to the companies stabilizing their output after catering to the demand that grew exponentially during the COVID-19 pandemic in 2021. The market is expected to reach $3.63 billion in 2026 at a CAGR of 30.9%.

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AI In Pharma Global Market Report 2022 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 of COVID-19 gives valuable insights on supply chain disruptions, logistical challenges, and other economic implications of the virus on the market. The chapter also covers markets which have been positively affected by the pandemic.
TBRC’s 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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