AI In Genomics Market Report 2025 (Global Edition)

Global AI In Genomics Market Report 2025 Market Size Split by Component (Hardware, Software, Services), by Technology (Machine Learning, Computer Vision), by Functionality (Genome Sequencing, Gene Edi...

AI In Genomics Market Report Description

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Impact of Tariff Trumph on Pharmaceuticals Industry

The reintroduction of tariffs under President Trump’s “Liberation Day Tariffs” in April 2025 has created significant disruption in global pharmaceutical trade. These tariffs, ranging from 10% to 46%, specifically target pharmaceutical products, APIs (active pharmaceutical ingredients), medical packaging, and machinery from key manufacturers in China and India. This has led to increased production costs, supply chain delays, and regulatory challenges for U.S.-based pharmaceutical companies.

The tariffs have particularly impacted generic drug manufacturers, who rely heavily on APIs from China and India. Biopharmaceuticals and vaccines are also feeling the pressure, with tariffs on critical materials like bioproduction media and cold-chain packaging raising costs by up to 25%. Similarly, contract manufacturing organizations (CMOs) are grappling with the need to identify new suppliers and adjust production plans to mitigate rising costs.

Foreign governments, including the European Union, have retaliated with tariffs on U.S. pharmaceutical exports, further complicating global trade. Clinical trials are also impacted, as tariffs on drugs and diagnostic kits delay trial timelines.

Market research is increasingly crucial for navigating these challenges. By providing real-time data on API pricing, supplier reliability, and tariff impact, pharmaceutical firms can make informed decisions on sourcing, compliance, and investment strategies. This data-driven approach helps mitigate risks, optimize supply chains, and identify alternative manufacturing hubs to offset tariff-related disruptions.

Overall, market research is essential for pharmaceutical companies to adapt to the new tariff landscape, enabling them to maintain competitive advantage and navigate global trade dynamics effectively.

AI In Genomics Market Insights Video

Competitive Landscape of the AI In Genomics Market

In October 2020, NVIDIA announced a collaboration with GSK, a major healthcare business, and its AI group, which uses computation in the medicine and vaccine discovery process. GSK recently built a new AI facility in London, one of the first of its type, which will use GSK's extensive genetic and genomic data to better the design and development of transformational medicines and vaccines.

(Source: https://www.expresspharma.in/nvidia-partners-with-gsks-ai-powered-lab-for-discovery-of-medicines-and-vaccines/)

Top Companies Market Share in AI In Genomics Industry: (In no particular order of Rank)

• IBM
• Microsoft Corporation
• NVIDIA Corporation
• DEEP GENOMICS
• Data4Cure Inc.
• Freenome Holdings Inc.
• Thermo Fisher Scientific
• Illumina Inc.
• SOPHiA GENETICS
• BenevolentAI
• Fabric Genomics
• Confidential Data
• Access The Paid Version
• Data Hidden

*List of Second Tier Companies, List of Third Tier/ Start-up Companies (Inquire with sales executive) Request Any Company Profile for Preview Purpose OR Data Validation!

If any Company(ies) of your interest has/have not been disclosed in the above list then please let us know the same so that we will check the data availability in our database and provide you the confirmation or include it in the final deliverables.

Regional Analysis of AI In Genomics Market

Which Region will dominate the AI In the Genomics Market in 2024?

According to Cognitive Market Research, in 2024, North America held the bulk of the worldwide AI in genomics market share due to the presence of several market players, including Danone, Abbott, Nestlé, Targeted Medical Pharma, Inc., and Mead Johnson & Company, LLC, among others. North America is home to some of the world's largest and best-funded research institutes and biotechnology firms, and these organisations are making significant investments in the development of AI-powered genomics solutions. This is encouraging the development of new software and tools for genomic data processing, and it is helping to build the AI in genomics market in North America.

Which Region is Expanding at the Fastest CAGR?

Asia Pacific is predicted to have the fastest CAGR over the projection period. The region's demand for AI in genomics is being driven by a mix of fast-rising healthcare spending, a growing emphasis on precision medicine, breakthroughs in genomics technology, and a big and expanding population. Some Asian countries have launched national genomics programs, developing population genetic databases by sequencing the DNA of healthy individuals. In 2019, Thailand's government authorized a five-year Genomics Initiative worth USD 150 million to characterize the genomes of 50,000 inhabitants.

The current report Scope analyzes AI In Genomics Market on 5 major region Split (In case you wish to acquire a specific region edition (more granular data) or any country Edition data then please write us on info@cognitivemarketresearch.com

• North America (United States, Canada, Mexico)
• Europe (United Kingdom, France, Germany, Italy, Russia, Spain, Sweden, Denmark, Switzerland, Luxembourg, Rest of Europe)
• Asia Pacific (China, Japan, South Korea, India, Australia, Singapore, Taiwan, South East Asia, Rest of APAC)
• Latin America (Brazil, Argentina, Colombia, Peru, Chile, Rest of South America)
• Middle East (Saudi Arabia, Turkey, UAE, Egypt, Qatar, Rest of Middle East)
• Africa (Nigeria, South Africa, Rest of Africa)

The above graph is for illustrative purposes only.

AI In Genomics Market Analysis

Component Segment Analysis of AI In Genomics Market

This report categorizes competitors in the pharmaceutical and healthcare market based on their product offerings and business models. It includes key details such as definitions, benefits, applications, technological advancements, and regional advantages for each type of pharmaceutical product, including small molecule drugs, biologics, and biosimilars.

Market growth figures, such as market share percentages, revenue, and growth rates (e.g., CAGR), are provided for each segment over the specified period (2019-2023). The report covers various segments

Component of AI In Genomics analyzed in this report are as follows:

• Hardware
• Software
• Services

The above Chart is for representative purposes and does not depict actual sale statistics. Access/Request the quantitative data to understand the trends and dominating segment of AI In Genomics Industry. Request a Free Sample PDF!

Technology Segment Analysis of AI In Genomics Market

This report analyzes revenue growth in the pharma and healthcare industry at global, regional, and national levels, highlighting trends and opportunities for each application. It explores how sectors like pharmaceuticals, therapy, and healthcare monitoring use innovations to address healthcare needs. Key factors include market size, revenue contributions, technological advancements (e.g., AI-driven diagnostics), and regulatory considerations. The report also covers the value chain, identifying key players and processes within the industry. For more information, please request a sample or contact our research team.

Some of the key Technology of AI In Genomics are:

• Machine Learning
• Computer Vision

The above Graph is for representation purposes only. This chart does not depict actual Market share.

AI In Genomics Functionality Segment Analysis

• Genome Sequencing
• Gene Editing
• Others

AI In Genomics Application Segment Analysis

• Drug Discovery & Development
• Precision Medicine
• Diagnostics
• Others

AI In Genomics End Use Segment Analysis

According to Cognitive Market Research, Pharmaceutical and biotech companies dominated the market in 2024. Artificial intelligence and machine learning are widely employed in the biotech and pharmaceutical industries for applications such as clinical data management, automated disease prediction and prevention, and biomarker identification. Artificial intelligence algorithms can forecast the toxicity of potential treatments, allowing pharmaceutical corporations to avoid investing in drugs that are likely to fail in clinical trials.

• Pharmaceutical and Biotech Companies
• Healthcare Providers
• Research Centers
• Others

Author's Detail

Manjiri Kanhere

Senior Research Associate at Cognitive Market Research

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Profile

Manjiri Kanhere is an experienced market researcher focused on the Pharma & Healthcare industry. With over 3+ years of experience, She has worked with major pharmaceutical companies and healthcare providers, helping them to understand market trends, identify new business opportunities, and develop effective sales & marketing strategies. Her expertise lies in the ability to analyze complex data sets and deliver insights that drive business decisions. At Cognitive Market Research, she handles the market research related to Pharma and healthcare industry.

Author's Conclusion