Artificial Intelligence in Genomics Market Latest Trends, Share, Size, Regional Analysis, Prominent Players and Forecast 2022 to 2028

Genomics is a branch in science that studies genes and how they function, structure, evolve, and map genomes in short organisms. Genomics is the study of DNA structure and function. It also includes bioinformatics to sequence DNA and recombinant genetics. Artificial intelligence (AI), in genomics, focuses on how AI can be applied to computer systems that perform tasks like genome mapping. AI allows for faster analysis of the structure, evolution and function of genetic material than can be done with human intervention. The main goal of AI algorithms is to mimic human intelligence; however, it is used in clinical genomics to perform genomic analysis, which includes genome annotation, variant calling, phenotype-to-genotype correspondence, and genome annotation. AI algorithms can accurately predict DNA structure and protein structure with very little feature handcrafting. Genomics plays a major role in personalized medicine. AI can be used to help in the production and distribution of medicines in this area. The market for artificial intelligence in genomics is expanding due to the need to manage drug development, discovery costs, and time.

The Global Artificial Intelligence In Genomics Market is expected to grow over the forecast period due to the increased need to control new drug development costs and time. Drug development can be a complex, time-consuming and costly process. This requires the use of various technologies to search for new drugs. Due to the increasing need to control the discovery time and costs during drug development, the global market for artificial intelligence in genomics is expanding rapidly. Both in vivo and intracellular approaches are used extensively in drug development and discovery. They are both expensive and time-consuming. Artificial intelligence plays a significant role in drug discovery. It can help to save time and money. The Artificial Intelligence In Genomics Market will be constrained by ambiguous regulations for medical software, and a lack of skilled AI workers. In recent years, several key players have made substantial investments in genomics. The market for AI in genomics has seen a rise in demand to control discovery costs and time during drug development. Private-public sector investments have also increased in AI in genomics. The market is also driven by the adoption of AI for precision medicine manufacturing.

The report for Artificial Intelligence in Genomics offers an assiduous analysis of contemporary market trends, driving factors, consumer behavior, key player strategies, product usage and brand positioning. The market trends and driving factors included in the report offer clients with a fresher perspective in planning the roadmap for their products and services taking various socio-economic factors under consideration. Furthermore, this market research report provides insights on market overview, current and future pricing, market segmentation, competitive landscape, growth analysis and other such premium insights within the forecast period.

The market overview includes key data points obtained from multiple industry and trade associations, government bodies, key players, information brokers and other such organizations. The pricing analysis provided in the report solidifies the market overview insights. Data from these organizations provides authenticity to the Artificial Intelligence in Genomics report which shall help clients in making better decisions by understanding the intricacies of market dynamics.

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The Artificial Intelligence in Genomics report also provides insights on the factors restraining the market growth which shall offer valuable data for strategic planning. It is crucial to analyze these factors as they help in identifying the market growth opportunities. In addition, market experts at FutureWise Market Research offer timely assistance in understanding unique market parameters in a better way.

The Artificial Intelligence in Genomics report is segmented by offering, by technology, by functionality, by application, by end user, and by region. It also provides insights into the revenue value and sales volume for the period 2022-2028.

Artificial Intelligence in Genomics Market Segmentation:

By Offering

Services
Software

By Technology

Machine Learning
Other Technologies

By Functionality

Genome Sequencing
Gene Editing
Clinical Workflows
Predictive Genetic Testing & Preventive Medicine

By Application

Diagnostics
Drug Discovery & Development
Precision Medicine
Agriculture & Animal Research
Other Applications

By End User

Pharmaceutical & Biotech Companies
Healthcare Providers
Research Centers, Academic Institutes
Government Organizations
Other End Users

By Region

North America
Europe
Asia-Pacific
Latin America
Middle East and Africa

Artificial Intelligence in Genomics Market Regional Analysis:

The Artificial Intelligence in Genomics Report breaks down the geographic outlook into regions such as North America, Latin America, and Europe. It also includes information about Asia-Pacific and Middle East & Africa.

This study gives information on the growth rates of each regional market during the period under analysis.

It is possible to draw inferences about the market share, assembly volume, and remuneration of each topography within the Artificial Intelligence in Genomics market during the forecast period.

The report contains detailed regional market summaries that include consumption volumes and prices, value trends, and profit margins. This will help stakeholders make informed and quick decisions.

Major players included in the Artificial Intelligence in Genomics Market:

Some of the key market players are

IBM
Microsoft
Nvidia Corporation
Deep Genomics
BenevolentAI
Fabric Genomics Inc
Verge Genomics
Freenome Holdings, Inc
MolecularMatch Inc
Cambridge Cancer Genomics
Sophia Genetics
Data4Cure Inc
PrecisionLife Ltd
Genoox Ltd
Lifebit
Diploid
FDNA Inc.
DNAnexus Inc
Empiric Logic
Engine Biosciences Pte. Ltd.

Competitive Landscape:

The report includes a detailed company profile as well as data about the production graph, product offerings, and revenue.

It also provides information about pricing trends and gross margins for individual manufacturers relative to market shares during the forecast period.

Objectives of the Study:

This report provides a detailed analysis of the global Artificial Intelligence in Genomics market by offering, by technology, by functionality, by application, by end user, and by region.

Give information on market drivers, opportunities, restrictions, and other factors.

Forecasting and analysis for micro markets and the global market.

Market size predictions for North America, Europe, Asia Pacific, Latin America, Middle East and Africa.

Competitive analysis that includes technological advances, product launches, and expansions as well as acquisitions.

Other Features of the Report:

Competitive Analysis
What’s Next
Market Data Forecast
Risks and Opportunity Assessment
Market Trends and Dynamics

Some key questions discussed in the report:

Which key factors are driving market growth?
What’s the market’s expected growth rate in the forecast period?
Which region will hold the largest market share?
What opportunities and threats are vendors facing in this market?
What are the Artificial Intelligence in Genomics Market’s revenue, sales, and price analysis for the top manufacturers?

Table of Contents:

Market Introduction
Research Methodology
Executive Summary
Market Variables, Trends, and Scope
Market Overview
Market Analysis Tools
Market Segmentation
Regional Landscape
Market Share Analysis and Competitive Landscape
Company Profiles
Impact of COVID-19
Competitive Intelligence and Competitive Matrix
Major Deals and Strategic Alliances Analysis
Relevant Case Studies and Latest News Updates
Key Takeaway Points from the Analysts at FutureWise Market Research

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