Pune, Maharashtra -- (SBWIRE) -- 01/17/2024 -- The latest study released on the Global AI in Genomics Market by HTF MI evaluates market size, trend, and forecast to 2029.
The AI in Genomics market study covers significant research data and proofs to be a handy resource document for managers, analysts, industry experts and other key people to have ready-to-access and self-analyzed study to help understand market trends, growth drivers, opportunities and upcoming challenges and about the competitors.

Key Players in This Report Include :

IBM (United States), Microsoft (United States), NVIDIA Corporation (United States), Data4Cure Inc. (United States), DNAnexus Inc. (United States), Sophia GENETICS (United States), Data4Cure Inc. (United States), Precisionlife Ltd (United Kingdom), Genoox Ltd. (United States), Lifebit (United Kingdom), Diploid (Belgium), MEDGENOME (United States), NetApp, Inc. (United States)

According to HTF Market Intelligence, the global AI in Genomics market is valued at USD Million in 2023 and estimated to reach a revenue of USD Million by 2029, with a CAGR of % from 2023 to 2029.

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Definition:

AI in genomics refers to the application of artificial intelligence (AI) techniques and technologies in the field of genomics, which is the study of an organism's complete set of DNA, including all of its genes. The integration of AI in genomics has revolutionized the way researchers analyze, interpret, and derive insights from vast amounts of genomic data. AI tools and algorithms help in processing large datasets efficiently, identifying patterns, predicting outcomes, and uncovering hidden relationships within genomic information.

Market Trends :

The integration of machine learning algorithms, particularly deep learning models, in genomics research continued to grow. These algorithms proved to be effective in handling large-scale genomic data, identifying patterns, and making predictions related to disease susceptibility, drug response, and more.

Market Drivers :

The shift toward personalized medicine, where treatments are tailored to an individual's genetic profile, is a major driver for the integration of AI in genomics. AI assists in analyzing individual genomic data to predict disease risks, recommend targeted therapies, and optimize treatment outcomes.

Market Opportunities :

AI-driven interpretation of consumer genetic data empowers individuals to understand their own genetic information. This can lead to increased engagement in personal health management and a better-informed decision-making process.

Target Audience :

AI in Genomics
Regulatory Bodies
Potential Investors
New Entrants
Research and Development Institutes
Others

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The Global AI in Genomics Market segments and Market Data Break Down are illuminated below :

Global AI in Genomics Market Breakdown by Application (Hospitals, Research Laboratories, Pharmaceuticals Companies, Biotechnology Companies) by Type (Structural Genomics, Functional Genomics, Comparative Genomics, Mutation Genomics) by Technology (Artificial Intelligence, Machine Learning) and by Geography (North America, South America, Europe, Asia Pacific, MEA)

Global AI in Genomics market report highlights information regarding the current and future industry trends, growth patterns, as well as it offers business strategies to helps the stakeholders in making sound decisions that may help to ensure the profit trajectory over the forecast years.

Geographically, the detailed analysis of consumption, revenue, market share, and growth rate of the following regions:

- The Middle East and Africa (South Africa, Saudi Arabia, UAE, Israel, Egypt, etc.)
- North America (United States, Mexico & Canada)
- South America (Brazil, Venezuela, Argentina, Ecuador, Peru, Colombia, etc.)
- Europe (Turkey, Spain, Turkey, Netherlands Denmark, Belgium, Switzerland, Germany, Russia UK, Italy, France, etc.)
- Asia-Pacific (Taiwan, Hong Kong, Singapore, Vietnam, China, Malaysia, Japan, Philippines, Korea, Thailand, India, Indonesia, and Australia).

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Objectives of the Report :

- -To carefully analyze and forecast the size of the AI in Genomics market by value and volume.
- -To estimate the market shares of major segments of the AI in Genomics
- -To showcase the development of the AI in Genomics market in different parts of the world.
- -To analyze and study micro-markets in terms of their contributions to the AI in Genomics market, their prospects, and individual growth trends.
- -To offer precise and useful details about factors affecting the growth of the AI in Genomics
- -To provide a meticulous assessment of crucial business strategies used by leading companies operating in the AI in Genomics market, which include research and development, collaborations, agreements, partnerships, acquisitions, mergers, new developments, and product launches.

Major highlights from Table of Contents :

AI in Genomics Market Study Coverage :

- It includes major manufacturers, emerging player's growth story, and major business segments of AI in Genomics market, years considered, and research objectives. Additionally, segmentation on the basis of the type of product, application, and technology.

AI in Genomics Market Executive Summary:

- It gives a summary of overall studies, growth rate, available market, competitive landscape, market drivers, trends, and issues, and macroscopic indicators.
- AI in Genomics Market Production by Region AI in Genomics Market Profile of Manufacturers-players are studied on the basis of SWOT, their products, production, value, financials, and other vital factors.

Key Points Covered in AI in Genomics Market Report:

- AI in Genomics Overview, Definition and Classification Market drivers and barriers
- AI in Genomics Market Competition by Manufacturers
- Impact Analysis of COVID-19 on AI in Genomics Market
- AI in Genomics Capacity, Production, Revenue (Value) by Region (2023-2030)
- AI in Genomics Supply (Production), Consumption, Export, Import by Region (2023-2030)
- AI in Genomics Production, Revenue (Value), Price Trend by Type {Structural Genomics, Functional Genomics, Comparative Genomics, Mutation Genomics}
- AI in Genomics Manufacturers Profiles/Analysis AI in Genomics Manufacturing Cost Analysis, Industrial/Supply Chain Analysis, Sourcing Strategy and Downstream Buyers, Marketing
- Strategy by Key Manufacturers/Players, Connected Distributors/Traders Standardization, Regulatory and collaborative initiatives, Industry road map and value chain Market Effect Factors Analysis.

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Key questions answered
How feasible is AI in Genomics market for long-term investment?
What are influencing factors driving the demand for AI in Genomics near future?
What is the impact analysis of various factors in the Global AI in Genomics market growth?
What are the recent trends in the regional market and how successful they are?

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