A latest report from Absolute Markets Insights covers insights into the global Artificial Intelligence (AI) In Genomics market. This comprehensive report offers insights into the market, models and drivers of business growth. Also includes Artificial Intelligence (AI) In Genomics market share, sales volume and education charts. Research analysts have combined important and additional information, such as commitments from market leaders, into a well-crafted report. This report is an essential insight into strategies and information and is primarily aimed at business leaders. The main objective of this Artificial Intelligence (AI) In Genomics report is to provide industry knowledge and help our clients achieve natural growth in their respective fields. The Artificial Intelligence (AI) In Genomics report also shows a new uptrend that includes market conditions and market forecast 2022-2030.
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Some of the major players operating in the global Artificial Intelligence (AI) In Genomics market include: Amazon Web Services, Inc., BenevolentAI Ltd., DEEP GENOMICS, Engine Biosciences Pte. Ltd., Fabric Genomics, Inc., FDNA INC., Freenome Holdings, Inc., IBM Corporation, Lifebit, Microsoft, MolecularMatch, Inc., NVIDIA Corporation, Verge Genomics and other market participants.
In terms of revenue, artificial intelligence (AI) in genomics market was valued at US$ 458.21 Mn in 2022 growing at a CAGR of 5.67% over the forecast period (2022 – 2030).
The competitive landscape of the market study contains a broader analysis of the regions including North America, Europe, Asia-Pacific, Middle East and Africa, Latin America, which are expected to capture the essence of the market in its broadest category. The list encompasses significant players who manage the sector based on the system’s overall production capabilities, environmental contributions, appropriate channels, and territorial proximity through a system of primary and secondary research methodologies followed by an in-house analytical model. Furthermore, the generated income and a generalized market share for the market is presented with the help of graphs, charts and tables.
Furthermore, the report also contains important collaborations, mergers and acquisitions, key market trends and business policies are evaluated. The study contains primary and secondary information pertaining to the Artificial Intelligence (AI) In Genomics Market in terms of its global status, market size, growth forecasts, trends, segments, and a detailed forecast.
Key insights from the report:
- The report provides key statistics on the market status of Artificial Intelligence (AI) In Genomics Manufacturers and is a valuable source of guidance and direction for companies and individuals interested in the industry.
- The report provides a basic overview of the industry, including its definition, applications and manufacturing technology.
- The report features the company profile, product specifications, capacity, production value and market share 2022-2030 for the top vendors.
- The total market is further divided by company, by country and by application/type for the analysis of the competitive landscape.
- The report then estimates the 2022-2030 market development trends of the P2P Loans industry.
- Analysis of upstream raw materials, downstream demand and current market dynamics is also performed.
- The report makes some important proposals for a new project of Artificial Intelligence (AI) In Genomics Market before evaluating its feasibility.
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Covid-19 cumulative impact:
This study presents insights into COVID-19 on consumer behavior and changes in demand, purchasing patterns, supply chain reorganization, dynamics of market forces, and substantial government involvement. The new research provides insights, analysis, estimates and predictions in light of the effect of COVID-19 on markets. The Artificial Intelligence (AI) In Genomics Market report provides a solid observation on the prominent players in terms of strategic analysis, micro and macro market trends and opportunities, pricing trends, and a generalized overview of the market. The Artificial Intelligence (AI) In Genomics Market is a detailed study packed with primary and secondary market factors, market share, leading segments and a proper geographic analysis.
Key questions answered in this report:
- What will the market size and growth rate be in 2030?
- What are the key drivers of the global market?
- What are the key market trends impacting the growth of the global market?
- What are the market growth challenges?
- Who are the key vendors in the global market?
- What are the global market opportunities and challenges for sellers?
- What are the key findings of the global five-point analysis of the Artificial Intelligence (AI) In Genomics market?
Genomics, a term that was first coined by Thomas Roderick in 1986, refers to the study of the function and structure of a living organism’s entire genome. The complete set of genetic information present in an organism is called a genome. Genome is stored in the complex molecules of Deoxyribonucleic acid (DNA), which is called as chromosomes. Genomics is a computer-aided study, and has gained immense attention in the past couple of decades. It primarily deals with the mapping and sequencing of the genes present in the chromosome. Studies show that genomics is more accurate as compared to other methods such as recombination mapping and deletion mapping.
The use of genomics is seen in the solving of complex issues related to genetics, and has become an inevitable aspect of both plant and animal breeding, and genetics. Artificial intelligence technology is being increasingly used in the field of genomics, as it has the ability to break down complex scenarios involving millions of combinations, and coming up with the most efficient solution. Computer vision techniques are being used for the capture of high resolution images, especially in the field of plant genomics. The rise in investment in artificial intelligence technology in the field of genomics, which is powered by both private and public entities, coupled with the rise in demand for genetic decoding for gene editing and sequencing, is expected to lead to the growth of the global artificial intelligence (AI) in genomics market in the coming years.
The COVID-19 pandemic has impacted the lives of numerous individuals around the globe. The pandemic has forced government bodies to implement lockdown and social distancing norms to curb the spread of the Coronavirus. However, healthcare and life sciences industry has gained significantly as a result of the pandemic. Companies are increasingly providing solutions that helps in studying human genomics at a microscopic level, and artificial intelligence solutions are being increased used for this purpose. Using genomics, pharmaceutical companies can also come up with tailored therapeutics for patients. Healthcare facilities, on the other hand, can utilize the concept of genomics for analyzing the genetic composition of individuals, and come up with a suitable diagnostic, as well as therapeutic model, especially with the advancement in machine learning technology.
Furthermore, disease identification and prevention is being increasingly focussed by public healthcare bodies. Researchers are largely focussing on the use of artificial intelligence techniques to gain more insights about the COVID-19 genome sequences. Sequential pattern mining (SPM) technique, for instance, is applied on a corpus of COVID-19 genome sequence which can be understood by a computer for analyzing patterns. Hence, the pandemic situation has accelerated the adoption of artificial intelligence in genomics, especially for understanding the genetic composition of patients, as well as the COVID-19 virus. Therefore, the pandemic is expected to have a positive impact on the global artificial intelligence (AI) in genomics market in the coming years.
Global Artificial Intelligence (AI) In Genomics Market Segmentation:
Artificial Intelligence (AI) In Genomics Market By Offering (Solutions, Services); By Technology (Machine Learning, Computer Vision, Others); By Type (Plant Genomics, Animal Genomics, Others); By Function (Genome Sequencing, Gene Editing, Predictive Testing Of Genes, Others); By Organization Size (Small And Medium Enterprises, Large Enterprises); By End-Use (Structural Genomics, Functional Genomics); By End-Users (Pharmaceutical Companies, Research Institutions And Life Sciences, Healthcare Providers, Others); By Region (North America (U.S., Canada, Mexico, Rest Of North America), Europe (France, The UK, Spain, Germany, Italy, Denmark, Finland, Iceland, Sweden, Norway, Belgium, The Netherlands, Luxembourg, Rest Of Europe), Asia Pacific (China, Japan, India, New Zealand, Australia, South Korea, Southeast Asia, Indonesia, Thailand, Malaysia, Singapore, Rest Of Southeast Asia, Rest Of Asia Pacific, Middle East & Africa (Saudi Arabia, UAE, Egypt, Kuwait, South Africa, Rest Of Middle East & Africa) Latin America (Brazil, Argentina, Rest Of Latin America)) – Global Insights, Growth, Size, Comparative Analysis, Trends And Forecast, 2022 – 2030
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