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Artificial Intelligence in Genomics Market 2022 Major Key Players and Industry Analysis Till 2028

COVID-19 Impact Analysis on report published by Value Market Research provides a detailed market analysis comprising market size, share, value, growth and trends for the period 2022-2028. The report encompasses data regarding market share and recent developments by key players. Moreover, this market report also covers regional and country markets in detail.
The research report also covers the comprehensive profiles of the key players in the market and an in-depth view of the competitive landscape worldwide. The major players in the artificial intelligence in genomics market include IBM (US), Microsoft (US), NVIDIA Corporation (US), Deep Genomics (Canada), BenevolentAI (UK), Fabric Genomics Inc. (US), Verge Genomics (US), Freenome Holdings, Inc. (US), MolecularMatch Inc. (US), Cambridge Cancer Genomics (UK), SOPHiA GENETICS (US), Data4Cure Inc. (US), PrecisionLife Ltd (UK), Genoox Ltd. (US), Lifebit (UK), Diploid (Belgium), FDNA Inc. (US), DNAnexus Inc. (US), Empiric Logic (Ireland), and Engine Biosciences Pte. Ltd. (US). This section consists of a holistic view of the competitive landscape that includes various strategic developments such as key mergers & acquisitions, future capacities, partnerships, financial overviews, collaborations, new product developments, new product launches, and other developments.
Market Dynamics
Artificial Intelligence in Genomics market shows a satisfactory growth rate during the projection period. The role of genomics in personalized medicine will help the growth of this market as the application of AI helps in the faster manufacturing of medicines. The necessity to reduce time and cost in drug development and increase investments made in AI in genomics by the public and private sector organizations have contributed to the market’s growth. Moreover, the growing manufacturing of precision medicine, which focuses on the role of genetics, lifestyle, and environment in the diseases in humans, is another market driver of growth. Similarly, the personalized medicine method that uses patients’ genetic profiles to discover the individual patient requirements before prescribing medicine is likely to influence the growth of the AI in genomics market.
The research report covers Porter’s Five Forces Model, Market Attractiveness Analysis, and Value Chain analysis. These tools help to get a clear picture of the industry’s structure and evaluate the competition attractiveness at a global level. Additionally, these tools also give an inclusive assessment of each segment in the global market of artificial intelligence in genomics. The growth and trends of artificial intelligence in genomics industry provide a holistic approach to this study.
Market Segmentation
This section of the artificial intelligence in genomics market report provides detailed data on the segments at country and regional level, thereby assisting the strategist in identifying the target demographics for the respective product or services with the upcoming opportunities.
By Offering
· Software
· Services
By Technology
· Machine Learning
· Deep Learning
· Supervised Learning
· Reinforcement Learning
· Unsupervised Learning
· Other Machine Learning Technologies
· 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
Browse Global Artificial Intelligence in Genomics Market Research Report with detailed TOC at
Regional Analysis
This section covers the regional outlook, which accentuates current and future demand for the Artificial Intelligence in Genomics market across North America, Europe, Asia-Pacific, Latin America, and Middle East & Africa. Further, the report focuses on demand, estimation, and forecast for individual application segments across all the prominent regions.
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