A thorough examination of the Artificial Intelligence In Genomics Market Size, Share, Sales and projected revenue growth through 2028
According to one of the most recent reports from MarkNtel Advisors, the Artificial Intelligence In Genomics Market size is expected to grow at a rate of roughly 53% CAGR from 2023-28. It provides a thorough analysis of the industry's present and potential futures, taking into account factors such as market size, market drivers, challenges, opportunities, threats, regional market shares, and key competitors, among others.
The "Artificial Intelligence In Genomics Market, Analysis 2028" report also includes in-depth data on the key factors affecting industry dynamics across various segments/sub-segments geographies, as well as the competitive landscape, current trends, recent developments, and various revenue-generating strategies used by top industry participants.
Recent Developments in the Global Artificial Intelligence in Genomics Market
-In June 2022, Ultima Genomics Nvidia announced their collaboration that leverages AI across multiple stages of the DNA sequencing analysis process. The partnership includes the use of Nvidia GPUs for deep learning in photometry base calling and will soon include acceleration of variant calling.
-In 21 March 2022, IBM and Genomics England entered a new partnership to transform patient care. IBM is selected as a strategic technology partner for Genomics England over 18 months to support the enable the consumption of AWS cloud services AI capabilities.
-In March 2022, Boehringer Ingelheim, the leading research-driven biopharmaceutical company, partnered with Lifebit Biotech, Ltd. (Lifebit), a precision medicine software company, in which Lifebit will support Boehringer Ingelheim in building a scalable data, analytics, infrastructure platform within its IT environment.
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Defining the Report's Scope for Artificial Intelligence In Genomics Market Research Report
- Information about the Artificial Intelligence In Genomics Market's significant trends, developments, drivers, and obstacles related to the size of various segments, outlining the potential milestones that could be reached over the forecast period, or 2023-28.
- Important imperatives for changing the Artificial Intelligence In Genomics Market dynamics as well as an analysis of the chances and difficulties that competitors are looking for.
- The most recent trends and achievements in each segment, allowing stakeholders to have a deeper grasp of the Artificial Intelligence In Genomics Market, including its historical performance and the speed anticipated going forward.
- The competitive structure and fragmentation of the Artificial Intelligence In Genomics industry with data on, among other things, alliances, mergers and acquisitions, investments, and strategic loyalties.
- A thorough research of the Artificial Intelligence In Genomics Market's external environment utilising techniques like SWOT (Strength, Weakness, Opportunity, and Threat) and Porter's Five Forces analysis.
Major Regions/Countries Segments Derived from the Artificial Intelligence In Genomics Market Research Report
This section of the report intends to provide stakeholders with in-depth details on high-growth segments geographies, enabling them to create winning strategies and maintain a competitive edge in the Artificial Intelligence In Genomics Market.
Based on, By Offering
-Softwares
-Services
Based on, By Technology
-Machine Learning
-Deep Learning
-Other Technologies
Based on, By Functionality
-Gene Editing
-Genome Sequencing
-Predictive Genetic Testing Preventive Medicine
Based on, By Application
-Diagnostics
-Precision Medicine
-Drug Discovery Development
-Agriculture Animal Research
Based on, By End User
-Pharmaceutical Companies
-Research Centers, Academic Institutes
-Healthcare Providers
-Government Organizations
Based on, By Region
-North America
-South America
-Europe
-Middle East Africa
-Asia Pacific
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Competitive Outlook for the Artificial Intelligence In Genomics Market to 2028
The research includes a thorough examination of the leading companies in the Industrial Artificial Intelligence -In Genomics Inc.
-Deep Genomics Inc.
-IBM
-Microsoft Corporation
-Fabric Genomics, Inc.
-Verge Analytics, Inc.
-FDNA Inc.
-Benevolent AI
-Freenome Holdings, Inc.
-SOPHIA GENETICS
-Ardigen
-Congenica Ltd.
-Lantern Pharma, Inc.
-MolecularMatch, Inc.
-Empiric Logic Limited
-Lifebit
It provides detail-driven insights into the fundamentals that have contributed to their success across various geographies as well as other factors that have an impact on the industry's overall growth trajectory. The study also considers their large profits and the tactics they used to stay competitive in the market. However, the following are the main topics of research on the industry's competitive landscape:
-Origin Business strategies
-Product/Service Offerings
-Prominent Performance Indicators
-Recent Developments
-Risk SWOT Analysis
-Porter’s Five Forces Analysis
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Key Questions Addressed in the Artificial Intelligence In Genomics Market Report
- What is the projected size of the Artificial Intelligence In Genomics Market for the period of 2023-28?
- Which geographic region or market sector holds the highest influence in the Artificial Intelligence In Genomics Market?
- What are the primary hurdles or challenges hindering the expansion of the Artificial Intelligence In Genomics Market during the years 2023-28?
- Which emerging trends are expected to offer profitable opportunities for the Artificial Intelligence In Genomics Market in the future?
- Who are the key players dominating the Artificial Intelligence In Genomics Market, and what recent developments have they undertaken?
About MarkNtel Advisors
MarkNtel Advisors is a leading research, consulting, data analytics firm that provides an extensive range of strategic reports on diverse industry verticals. We deliver data to a substantial varied client base, including multinational corporations, financial institutions, governments, individuals, among others.
Our specialization in niche industries emerging geographies allows our clients to formulate their strategies in a much more informed way and entail parameters like Go-to-Market (GTM), product development, feasibility analysis, project scoping, market segmentation, competitive benchmarking, market sizing forecasting, trend analysis, among others, for 15 diverse industrial verticals. Using such information, our clients can identify attractive investment opportunities strategize their moves to yield higher ROI (Return of Interest) through an early mover advantage with top-management approaches.
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