According to the research report published by Polaris Market Research, the Global Artificial Intelligence (Ai) In Pharmaceutical Market Size Is Expected To Reach USD 7,147.2 Million By 2029., at a CAGR of 31.2% during the forecast period.

Polaris Market Research has published its latest comprehensive research study tiled Artificial Intelligence (AI) in Pharmaceutical Market Evaluation. The report offers an in-depth analysis of all the key market aspects, covering Artificial Intelligence (AI) in Pharmaceutical market share, size, trends, and industry developments. It offers authentic data and information to clients, helping them make strategic decisions. In addition, the research report tracks and provides information on all the major innovations and technological advancements in the market.

The research report considers the market’s past performance, highlights the market’s current status, and provides information on market forecasts. It examines the market’s competitive environments, along with the major segments and sub-segments in the market. In addition, an examination of the key regions and sub-regions has been provided. Stakeholders, investors, businesses, and other stakeholders will benefit from the detailed insights provided in the research study.

Market Dynamics

Growth Drivers: The research report sheds light on all the major factors driving the Artificial Intelligence (AI) in Pharmaceutical market growth.

Market Trends: The study identifies and highlights all the key trends expected to fuel market development in the coming years.

Market Opportunities: The research report identifies areas where there is potential for growth or innovation within the market.

Key Challenges: Along with growth drivers and trends, the study details the most pressing challenges faced by the market and their potential impact on businesses and investors.

Research Methodology

This section of the Artificial Intelligence (AI) in Pharmaceutical market research report highlights the research design and methods used to collect and analyze information. The report has been prepared by using a mix of both qualitative and quantitative analysis. Both primary and secondary research techniques, including surveys, focus groups, and information from credible sources, have been used to collect market data. The study has been prepared by expert analysts and researchers having extensive experience in the industry. In addition, all the information goes through a multi-step verification method to ensure accurate and reliable market analysis.

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Competitive Landscape

The Artificial Intelligence (AI) in Pharmaceutical market competitive landscape explores all the major players in the market. It offers insight into the strategies, market share, strengths, and weaknesses. It also includes a competitive matrix, highlighting how the major market players across different market criteria such as product offerings, innovation, customer service, or pricing. An analysis of emerging market competitors has also been provided in the report. The research study makes use of industry-standard methodologies such as Porter’s Five Forces analysis and SWOT analysis to offer a thorough analysis of the market’s competitive environment.

A few of the major players covered in the research report are:

GNS Healthcare
Atomwise Inc.
Bayer AG
Cloud Pharmaceuticals Inc
Recursion Pharmaceuticals Inc.
AstraZeneca LLC
XtalPi Inc.
Microsoft Corporation
Novartis AG
NVIDIA Corporation
copyright Inc.
IBM Watson
Merck & Co.

Growth Drivers

The rapid growth of the Artificial Intelligence (AI) in the pharmaceutical market is driven by several key factors, including the increasing complexity of modern pharmacology, the rising demand for disease prevention, epidemic prediction, and the need for viable therapeutic candidates. AI is revolutionizing pharmaceutical research, enabling companies to explore treatments for both common diseases, like Alzheimer's and Parkinson's, and rare disorders.

Typically, pharmaceutical companies are hesitant to invest significant time and resources in developing drugs for rare diseases due to the low return on investment (ROI) compared to the high costs and time involved in creating treatments. However, the rising prevalence of these diseases is pushing research organizations to leverage AI for better outcomes.

For example, according to the Alzheimer’s Association (AA), over 6 million Americans are affected by Alzheimer's disease. By 2021, around 6.2 million individuals aged 65 and older in the U.S. were living with Alzheimer's. The costs related to Alzheimer's care were projected to reach $355 billion in 2021, with expectations to rise to $1.1 trillion by 2050. Alzheimer's disease currently affects 1 in 9 adults aged 65 and older (11.3%). Without medical advancements to prevent, treat, or cure the disease, the number of people over 65 with Alzheimer's is expected to rise to 12.7 million by 2050. However, thanks to the transformative power of AI and machine learning (ML), there is hope for better outcomes in the future.

Additionally, many pharmaceutical companies are utilizing AI and other advanced applications to predict global outbreaks. By collecting data from various web sources, these AI models analyze the impact of geographical, ecological, and biological factors on public health in different regions. They help to establish connections between these factors and past outbreaks. These predictive models are especially valuable for developing economies, helping them respond effectively to potential health crises.
Regional Overview

The research report discusses how the growth of the market across various regions and sub-regions. The regional analysis section provides Artificial Intelligence (AI) in Pharmaceutical market information at the global, national, and regional levels. In addition, an assessment of the market’s historical performance in specific regions and their supply and demand, logistics, and production capacity has been provided. The report also includes a forecast analysis section that provides vital information on revenue projection and global production, along with regional forecasts.

Report Scope

Artificial Intelligence (AI) in Pharmaceutical Market, Application Outlook (Revenue - USD Million, 2017 - 2029)

• Drug Discovery
• Precision Medicine
• Medical Imaging & Diagnostics
• Research

Artificial Intelligence (AI) in Pharmaceutical Market, Offering Outlook (Revenue - USD Million, 2017 - 2029)

• Hardware
• Software
• Services

Artificial Intelligence (AI) in Pharmaceutical Market, Technology Outlook (Revenue - USD Million, 2017 - 2029)

• Machine Learning
• Natural Language Processing
• Deep Learning
• Others

Artificial Intelligence (AI) in Pharmaceutical Market, Deployment Outlook (Revenue - USD Million, 2017 - 2029)

• Cloud
• On-Premise

The key regions and sub-regions covered in the research report are:

• North America (US, copyright)
• Europe (France, Germany, UK, Italy, Netherlands, Spain, Russia)
• Asia Pacific (Japan, China, India, Malaysia, Indonesia. South Korea)
• Latin America (Brazil, Mexico, Argentina)
• Middle East & Africa (Saudi Arabia, UAE, Israel, South Africa)

The Report Answers Questions Such As

• What are the Artificial Intelligence (AI) in Pharmaceutical market stats?
• What is the projected growth rate of the Artificial Intelligence (AI) in Pharmaceutical market value?
• Which region is projected to witness the fastest growth during the forecast period?
• Which segment accounted for the largest market share?
• Who are the top companies operating in the market?
• How are strategic developments expected to impact the market in the coming years?

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