Global Artificial Intelligence In Genomics Market Size, Share, Competitive Landscape, Current Industry Trends By 2022 - 2030
Zion Market Research published a new 110+ pages industry research "Global Artificial Intelligence In Genomics Market Size, Share, Competitive Landscape, Current Industry Trends By 2022 - 2030" in its database that focuses on Artificial Intelligence In Genomics Market and delivers in-depth market analysis and future prospects of Global Artificial Intelligence In Genomics Market. The research study covers research data which makes the document a handy resource for managers, analysts, industry experts, and other key people to get ready-to-access and self-analyzed study along with TOC, graphs, and tables to help understand market size, share, trends, growth drivers, and market opportunities and challenges.
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The Artificial Intelligence In Genomics Market report offers details on the latest developments in the global Artificial Intelligence In Genomics Market and how it is affecting the overall growth of the market. The Artificial Intelligence In Genomics Market has also been segmented on the basis of application, product type, end-user, and region. All the key segments are further divided into sub-segments, this helps in getting a better understanding of the overall growth of Artificial Intelligence In Genomics Market. The research report also provides data on all the segments and sub-segment based on the incremental opportunity, year-on-year growth, revenue, CAGR, market size, and market attractive index. The data is also offered in the form of basis point share.
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Key Supplier Profiles included in the Global Artificial Intelligence In Genomics Market
Deep Genomics (Canada), IBM (U.S.), FDNA Inc. (U.S.), Microsoft (U.S.), Genoox Ltd. (U.S.), NVIDIA Corporation (U.S.), Lifebit (UK), BenevolentAI (UK), Cambridge Cancer Genomics (UK), Fabric Genomics Inc. (U.S.), Verge Genomics (U.S.), SOPHiA GENETICS (U.S.), Freenome Holdings Inc. (U.S.), MolecularMatch Inc. (U.S.), Data4Cure Inc. (U.S.), PrecisionLife Ltd (UK), Diploid (Belgium), DNAnexus Inc. (U.S.).
This research report studies the global Artificial Intelligence In Genomics Market size, industry status and forecast, competition landscape, and growth opportunity during the forecast period. This research report also categorizes the global Artificial Intelligence In Genomics Market into major companies, key regions, types, and end-use industries.
The Artificial Intelligence In Genomics Market research report covers the current market size of the market and its growth rate based on 5-year history data along with company analysis of key market players/manufacturers. The in-depth information by segments of Artificial Intelligence In Genomics Market helps to monitor future aspects & to make important decisions for growth.
The Artificial Intelligence In Genomics Market report includes details on all the key regions in the global market for Artificial Intelligence In Genomics Market along with all the factors contributing to the growth of the market in various regions. The report also includes details on the drivers in various regions playing an important role in the market. Key regions included in the report on the global Artificial Intelligence In Genomics Market are Europe, Latin America, Asia Pacific (APAC), North America, and the Middle East & Africa (MEA).
Segmentation OF Artificial Intelligence In Genomics Market
By Product -
Machine Learning And Computer Vision
By Application -
Pharma And Research
Promising Regions & Countries Mentioned In The Artificial Intelligence In Genomics Market Report:
North America ( United States)
Europe ( Germany, France, UK)
Asia-Pacific ( China, Japan, India)
Latin America ( Brazil)
The Middle East & Africa
To understand the competitive landscape in the market, an analysis of Porter's five forces model for the market has also been included. The study encompasses a market attractiveness analysis, wherein all segments are benchmarked based on their market size, growth rate, and general attractiveness. This report is prepared using data sourced from in-house databases, and secondary and primary research teams of industry experts.
57 data tables and 46 additional tables
An overview of the global market for deep learning technology within the framework of big data analytics
Analyses of the global market trends, with corresponding market analysis data for 2019, estimates for 2020, and projections of compound annual growth rates (CAGRs) through 2028
Insights into the market potential for deep learning technology, opportunities and challenges, and technological trends and issues impacting the industry
Estimation of market size and forecast, with a deep dive into market share analysis on the basis of technology type, application, and end-use industry with major regions and countries involved
Understanding of the upcoming market opportunities and areas of focus to forecasting the market into various segments, and the value chain of the deep learning industry ecosystem
Review of the U.S. patents and patent applications filed on deep learning technologies
Discussion of the impact of the COVID-19 pandemic on the deep learning market and global economy
Information pertaining to strategic profiling of key companies present across the globe and their competitive landscape in this market
Profile descriptions of the market-leading participants, including Deep Genomics (Canada), IBM (U.S.), FDNA Inc. (U.S.), Microsoft (U.S.), Genoox Ltd. (U.S.), NVIDIA Corporation (U.S.), Lifebit (UK), BenevolentAI (UK), Cambridge Cancer Genomics (UK), Fabric Genomics Inc. (U.S.), Verge Genomics (U.S.), SOPHiA GENETICS (U.S.), Freenome Holdings Inc. (U.S.), MolecularMatch Inc. (U.S.), Data4Cure Inc. (U.S.), PrecisionLife Ltd (UK), Diploid (Belgium), DNAnexus Inc. (U.S.).
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Competitive Landscape -
Detailed information on each microplate reader manufacturer may be found in the market landscape. An overview of the business, its financials, revenue generated, market potential, research and development investments, new market initiatives, global presence, production facilities and locations, production capacities, company strengths and weaknesses, product launches, product scope, and application dominance are all included. The above data points are only relevant to the microplate reader market focus of the companies listed.
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