Artificial Intelligence in Genomics Market 2021 Global Growth Rate Application, Technology, Functionality, Drivers, Restraints and Company Profiles Molecularmatch, Microsoft, Diploid, DNAnexus

Genomics refers to the study of genomes. It is a complete set of DNA, including all the genes of an individual. Artificial intelligence is the progression of computer systems capable of performing tasks that generally require human intelligence. The field of genomics generates large datasets that are utilized in the making of potential new therapeutics. Artificial Intelligence in genomics is widely used to develop and discover drugs for curing rare diseases. It accelerates the time taken to find novel therapies. It utilizes DNA sequencing methods, recombinant DNA, and bioinformatics to assemble, analyze, and sequence the structure and function of genomes. It helps to predict an individual's probability of developing certain diseases or inform potential therapy design.

The "Global Artificial Intelligence in Genomics Market Analysis to 2028" is a specialized and in-depth study of the healthcare industry with a special focus on the global market trend analysis. The report aims to provide an overview of the artificial intelligence in genomics market with detailed market segmentation by offerings, technology, functionality, application, end user, and geography. The report provides key statistics on the market status of the leading artificial intelligence in genomics market players and offers key trends and opportunities in the market.

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The report also includes the profiles of key companies along with their SWOT analysis and market strategies in the artificial intelligence in genomics market. In addition, the report focuses on leading industry players with information such as company profiles, components, and services offered, financial information of the last 3 years, the key development in the past five years.
• Onvidia
• Deep Genomics
• DNAnexus
• Empiric Logic
• Engine Biosciences
• Fabric Genomics
• Microsoft Corporation
• Diploid
• Molecularmatch
• Cambridge Cancer Genomics

MARKET SEGMENTATION
• Based on offerings, the global artificial intelligence in genomics market is segmented into software, and services.
• On the basis of technology, the market is bifurcated into machine learning, computer vision and other technologies.
• On the basis of functionality, the market is segmented into genome sequencing, gene editing, clinical workflows, and predictive genetic testing & preventive medicine.
• On the basis of application, the market is bifurcated into diagnostics, drug discovery & development, precision medicine, agriculture & animal research, other applications.
• On the basis of end-users, the market is bifurcated into pharmaceutical & biotech companies, healthcare providers, research centers, academic institutes & government organizations, and other.

MARKET DYNAMICS
Drivers
• The need to control costs and time of drug development and discovery and increasing public and private funding in AI in genomics are factors driving the growth of artificial intelligence in the genomics market.
• Increasing incidences of diseases such as cancer, diabetes and the rising adoption of AI solutions in precision medicine boost the market growth.
• The growing research and development activities for developing advanced treatment and government initiatives to promote medicines propel the market growth.
• The improving healthcare infrastructure and rapid economic growth in developing countries favor the growth of the market.

Restraints
• The lack of a skilled AI workforce.
• Ambiguous regulatory guidelines for medical software.

REGIONAL FRAMEWORK

The report provides a detailed overview of the industry including both qualitative and quantitative information. It provides an overview and forecast of the global market based on various segments. It also provides market size and forecast estimates from the year 2019 to 2028 with respect to five major regions, namely; North America, Europe, Asia-Pacific (APAC), the Middle East and Africa (MEA), and South America. The artificial intelligence in genomics market by each region is later sub-segmented by respective countries and segments. The report covers the analysis and forecast of 18 countries globally along with the current trend and opportunities prevailing in the region.

The report analyzes factors affecting the market from both demand and supply side and further evaluates market dynamics affecting the market during the forecast period i.e., drivers, restraints, opportunities, and future trend. The report also provides exhaustive PEST analysis for all five regions namely; North America, Europe, APAC, MEA, and South America after evaluating political, economic, social and technological factors affecting the artificial intelligence in genomics market in these regions.

IMPACT OF COVID-19 ON ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET

COVID-19 first began in Wuhan (China) during December 2019, and since then, it has spread at a fast pace across the globe. The US, India, Brazil, Russia, France, UK, Turkey, Italy, and Spain are some of the worst affected countries in terms of confirmed cases and reported deaths. The early sequencing of the genome of different coronavirus strains was not timely done, and still, many aspects of disease behavior are unknown. The use of artificial intelligence methods has potentially accelerated the process of finding actionable insights and eventually contribute to a better global response. The outbreak has accelerated the use of AI technology in industries. The development of new artificial intelligence models and genomic sequencing software help healthcare researchers and hospitals fight with the pandemic faster. Healthcare professionals have tried to diagnose the severity of coronavirus infection with the help of existing genetic databases and research. With the use of AI in genomics, the genomes derived data can identify Covid-19 complications. Further, the adoption of AI in genomics to diagnose various strains and drug development will lead to the market's sustainable growth.

Major questions addressed through this global research report:
1. What are the demanding sectors for driving this global Artificial Intelligence In Genomics market?
2. Which are the major key players and competitors?
3. What will be the market size of the global market?
4. Which are the recent advancements in the global Artificial Intelligence In Genomics market?
5. What are the restraints, threats, and challenges in front of the market?
6. What are the global opportunities in front of the market?
7. How digital footprint helps to expand the business structure and economic outcomes?

Table of Content (TOC):
Chapter 1 Introduction and Overview
Chapter 2 Industry Cost Structure and Economic Impact
Chapter 3 Rising Trends and New Technologies with Major key players
Chapter 4 Global Artificial Intelligence In Genomics Market Analysis, Trends, Growth Factor
Chapter 5 Artificial Intelligence In Genomics Market Application and Business with Potential Analysis
Chapter 6 Global Artificial Intelligence In Genomics Market Segment, Type, Application
Chapter 7 Global Artificial Intelligence In Genomics Market Analysis (by Application, Type, End User)
Chapter 8 Major Key Vendors Analysis of Artificial Intelligence In Genomics Market
Chapter 9 Development Trend of Analysis
Chapter 10 Conclusion

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