Global AI in Pharma Market 2021 Trends, Growth and Profit Analysis, Forecast by 2030

The Business Research Company offers "AI In Pharma Global Market Report 2021 - By Technology (Context-Aware Processing, Natural Language Processing, Querying Method, Deep Learning), By Drug Type (Small Molecule, Large Molecules), By Application (Diagnosis, Clinical Trial Research, Drug Discovery, Research And Development, Epidemic Prediction), COVID-19 Growth And Change" in its research report store. It is the most comprehensive report available on this market and will help gain a truly global perspective as it covers 60 geographies. The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by region and by country. It also compares the market’s historic and forecast growth, and highlights important trend s and strategies that players in the market can adopt.

The ai in pharma market report describes and explains the global ai in pharma market and covers 2015 to 2020, termed the historic period, and 2020 to 2025 termed the forecast period, along with further forecasts for the period 2025-2030. The report evaluates the market across each region and for the major economies within each region.

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The artificial intelligence (AI) in pharma market consists of sales of AI in the pharma and related services that use an automated algorithm to perform tasks that traditionally rely on human intelligence. It can be useful in handling data and presenting results that encourage better decision-making and save human efforts, cost, and time. The market consists of revenue generated by artificial intelligence (AI) companies, which are applying in the pharmaceutical industry. Only goods and services traded between entities or sold to end consumers are included.

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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Some of the major players of the ai in pharma market are Novartis, IBM Watson, Microsoft Corporation, Merck, GNS Healthcare., Google, AstraZeneca, Atomwise Inc., Exscientia, Cyclica, NVIDIA Corporation, XtalPi Inc., BenevolentAI, Cloud Pharmaceuticals Inc, BERG LLC, Bayer, Pfizer, Recursion Pharmaceuticals Inc., Bristol-Myers Squibb.

The countries covered in the global ai in pharma market are Argentina, Australia, Austria, Belgium, Brazil, Canada, Chile, China, Colombia, Czech Republic, Denmark, Egypt, Finland, France, Germany, Hong Kong, India, Indonesia, Ireland, Israel, Italy, Japan, Malaysia, Mexico, Netherlands, New Zealand, Nigeria, Norway, Peru, Philippines, Poland, Portugal, Romania, Russia, Saudi Arabia, Singapore, South Africa, South Korea, Spain, Sweden, Switzerland, Thailand, Turkey, UAE, UK, USA, Venezuela, Vietnam.

The regions covered in the global ai in pharma market are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

The global ai in pharma market is segmented -
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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Few Points From Table Of Content
1. Executive Summary
2. AI in Pharma Market Characteristics
3. AI in Pharma Market Trends And Strategies
4. Impact Of COVID-19 On AI in Pharma
5. AI in Pharma Market Size And Growth
....
26. Africa AI in Pharma Market
27. AI in Pharma Market Competitive Landscape And Company Profiles
28. Key Mergers And Acquisitions In The AI in Pharma Market
29. AI in Pharma Market Future Outlook and Potential Analysis
30. Appendix

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