Research Nester published a report titled “Machine Learning in the Pharmaceutical Industry Market: Global Demand Analysis & Opportunity Outlook 2030” which delivers a detailed overview of the global machine learning in the pharmaceutical industry market in terms of market segmentation by application, and by region.
Further, for the in-depth analysis, the report encompasses the industry growth indicators, restraints, supply and demand risk, along with detailed discussion on current and future market trends that are associated with the growth of the market.
The global machine learning in the pharmaceutical industry market is anticipated to attain a robust CAGR over the forecast period, i.e., 2022 – 2030. On the basis of application, the predictive analysis segment is projected to hold a notable share over the forecast period on the back of the increasing need for predicting the biological response of the body towards a certain drug. With the help of machine learning, medical practitioners will be able to predict the behavior of specific cells towards specific drug, which can improve the medical sector manifold. This is estimated to boost the market growth.
The global machine learning in the pharmaceutical industry market is estimated to grow on the back of increasing adoption of artificial intelligence in various industries, along with growing need for advanced technology in medical sector. Machine learning can analyze data and predict the possible outcomes with time, which can improve the efficiency of the pharmaceutical industry, which is estimated to boost the market growth.
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On the basis of geographical analysis, the global machine learning in the pharmaceutical industry market is segmented into five major regions including North America, Europe, Asia Pacific, Latin America and Middle East & Africa region. The market in the North America region is projected to gain the largest share throughout the forecast period, owing to advancements in the medical as well as technological sector in the United States and Canada.
The research was global in nature and conducted in North America (U.S., Canada), Europe (U.K., Germany, France, Italy, Spain, Hungary, Belgium, Netherlands & Luxembourg, NORDIC (Finland, Sweden, Norway, Denmark), Poland, Turkey, Russia, Rest of Europe), Latin America (Brazil, Mexico, Argentina, Rest of Latin America), Asia-Pacific (China, India, Japan, South Korea, Indonesia, Singapore, Malaysia, Australia, New Zealand, Rest of Asia-Pacific), Middle East and Africa (Israel, GCC (Saudi Arabia, UAE, Bahrain, Kuwait, Qatar, Oman), North Africa, South Africa, Rest of Middle East and Africa). In addition, areas like Market size, Y-O-Y growth & Opportunity Analysis, market players competitive study, investment opportunities, demand for future outlook etc. have been covered and displayed in the research report to ensure it dives deep to achieve strategic competitive intelligence in the segment.
Increasing Adoption of Artificial Intelligence in Pharmaceutical Industry to Boost the Market Growth
As of 2021, over 15% of the global customer services are AI based. The total value of AI industry crossed approximately USD 3 trillion.
The increasing penetration of advanced technology in various end-user industries, especially the Artificial Intelligence technology, is estimated to boost the market growth. Use of AI in pharmaceutical industry can improve the data integration and management which, in turn, is estimated to boost the market growth.
However, lack of resources in the under developed countries is expected to operate as key restraint to the growth of the global machine learning in the pharmaceutical industry market over the forecast period.
“The Final Report will cover the impact analysis of COVID-19 on this industry.”
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This report also provides the existing competitive scenario of some of the key players of the global machine learning in the pharmaceutical industry market which includes company profiling of Biovista Lifesciences, Cyclica Inc., BioSymetrics Inc., Cloud Pharmaceuticals, Inc., Deep Genomics, Atomwise Inc., Alphabet Inc., Nvidia Corporation, International Business Machines Corporation, Microsoft Corporation and others. The profiling enfolds key information of the companies which encompasses business overview, products and services, key financials and recent news and developments. On the whole, the report depicts detailed overview of the global machine learning in the pharmaceutical industry market that will help industry consultants, equipment manufacturers, existing players searching for expansion opportunities, new players searching possibilities and other stakeholders to align their market centric strategies according to the ongoing and expected trends in the future.
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