Press release
Artificial Intelligence in Pharma Manufacturing Market Trends and Segments Forecast To 2028
The global artificial intelligence in pharma manufacturing market size was valued at USD X million in 2021 and is poised to grow at a significant CAGR of X% during the forecast period 2022-28. Sales of AI in the pharmaceutical industry and related services that employ an automated algorithm to carry out operations that typically need human intelligence make up the artificial intelligence (AI) in the pharma market. It can be utilized to manage data and deliver outcomes that promote improved decision-making and spare time, money, and human effort. The market is made up of money made by AI businesses that work in the pharmaceutical sector.View the detailed report description here - https://precisionbusinessinsights.com/market-reports/artificial-intelligence-in-pharma-manufacturing-market/
Study of COVID-19 scenario:
Apart from the pharmaceutical business, every industry in the globe has been impacted by the COVID-19 epidemic. Further, it is anticipated that the recovery from the COVID-19 impact, which had previously resulted in restrictive containment measures involving social estrangement, remote working, and the closure of commercial activities that resulted in operational challenges, will largely be responsible for the companies restarting their operations and adapting to the new norm.
Due to the financial impact, production and demand gaps, supply chain disruption, and market effects, the COVID-19 pandemic outbreak has only slightly slowed the growth of the pharmaceutical industry. Also, the market for artificial intelligence in pharma and healthcare has expanded tremendously.
Artificial Intelligence in Pharma Manufacturing Market Growth Factors:
The rise in the need to reduce drug research and development costs and the rise in the number of cross-industry partnerships and collaborations are the two key drivers of global artificial intelligence in drug discovery market. The market for artificial intelligence in pharmaceuticals is also expanding as a result of the rapid uptake of cloud-based software and services as well as the approaching patent expiration of popular medications.
Artificial Intelligence in Pharma Manufacturing Market Segmentation:
1) By Offering: Hardware, Software, Services.
2) By Technology: Computer Vision, Computer Vision, Machine Learning, Natural Language Processing, Context-Aware Computing.
3) Deployment Mode: Cloud, On-Premises.
Artificial Intelligence in Pharma Manufacturing Market Regional Analysis:
In 2022, North America held a 45% market share and dominated the worldwide AI in the pharmaceutical industry. The application of artificial intelligence in the pharmaceutical industry is expanding rapidly in North America. The regulatory environment in North America is hospitable, which promotes the use of AI in the pharmaceutical sector. Also, the region is home to a number of top pharmaceutical firms that are aggressively investing in bolstering their position in the biopharmaceutical industry. The rapid advancement of biologics and biotechnology is having a beneficial effect on the market expansion in North America.
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Key players profiles in the artificial intelligence in pharma manufacturing market IBM (US), Microsoft (US), Google Inc (US), Intel (US), NVIDIA (US), Samsung, Electronics (South Korea), Xilinx (US), Micron Technology (US), Salesforce (US), SAS (US), SAP SE (Germany), Facebook (US), Baidu (China), Oracle (US), General Electric (US), Amazon Web Services (US), Cisco (US), Rockwell Automation (US), Siemens (Germany), Graph core(UK)
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We are a market research company that strives to provide the highest quality market research insights. Our diverse market research experts are enthusiastic about market research and therefore produce high-quality research reports. We have over 500 clients with whom we have a good business partnership and capacity to provide in-depth research analysis for more than 30 countries. In addition to deliver more than 150 custom solutions, we already have accounts with the top five medical device manufacturers.
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