Inteligencia artificial en genómica: tamaño del mercado, participación y tendencias en 2029</font></font>

Name: Inteligencia artificial en el mercado de genómica por oferta (software, servicios), tecnología (aprendizaje automático, visión artificial), funcionalidad (secuenciación del genoma, edición genética, mapeo genético) y por región (América del Norte, Europa, Asia Pacífico, América del Sur, Oriente Medio y África) Tendencias globales y pronóstico de 2023 a 2029
Price: 3499 USD
Availability: InStock
Rating: 4.5 (91 reviews)
Author: Exactitude Consultancy
ISBN: 12639

Descripción general del mercado de inteligencia artificial en genómica

Se proyecta que el mercado global de inteligencia artificial en genómica alcance los USD 14,61 mil millones para 2029 desde USD 8,34 mil millones en 2022, con una CAGR del 6,1% entre 2023 y 2029.

La genómica es una rama de la ciencia que estudia los genes y sus funciones, así como la estructura, evolución y mapeo de los genomas en organismos vivos. La prueba genética se utiliza para aprender sobre la susceptibilidad a las enfermedades, la respuesta al tratamiento y la biología humana en general. El estudio de la genómica incluye estudios estructurales y funcionales, secuenciación de ADN y bioinformática para secuenciar y recombinar ADN. La aplicación de la inteligencia artificial (IA) en la genómica se centra en la creación de sistemas informáticos que puedan realizar tareas como el mapeo del genoma. La estructura, la evolución y la función del material genético se pueden estudiar más rápidamente con IA que con la interacción humana. Aunque los algoritmos de IA están diseñados para simular la inteligencia humana, también se utilizan en la genómica clínica para realizar análisis genómicos como la anotación del genoma, la identificación de variantes, la correspondencia entre fenotipo y genotipo y la anotación del genoma.

Además, los métodos de IA pueden ayudar a predecir con precisión la estructura de las proteínas o los datos del ADN con una mínima manipulación de las características. La medicina genómica tiene un papel crucial que desempeñar en la medicina personalizada. En este campo, la IA puede ayudar en la producción de medicamentos.

ATRIBUTO	DETALLES
Periodo de estudio	2022-2029
Año base	2022
Año estimado	2023
Año pronosticado	2023-2029
Periodo histórico	2018-2022
Unidad	Valor (miles de millones de USD)
Segmentación	Por oferta, por tecnología, por funcionalidad, por región.
Al ofrecer	Software Servicios
Por tecnología	Aprendizaje automático Visión por computadora
Por funcionalidad	Secuenciación del genoma Edición genética Mapeo genético
Por región	América del norte Europa Asia Pacífico Sudamerica Oriente Medio y África

La necesidad de mantener bajo control los costos y los plazos de desarrollo y descubrimiento de medicamentos está impulsando el mercado de la inteligencia artificial en la genómica. Se espera que el mercado global de la inteligencia artificial en la genómica crezca durante el período proyectado a medida que aumenta la demanda de controlar los costos y el tiempo de descubrimiento durante el desarrollo de nuevos medicamentos. El desarrollo de medicamentos es un proceso que requiere mucho tiempo, es complicado y costoso y requiere la aplicación de varias tecnologías en la búsqueda de nuevos medicamentos. En el descubrimiento y desarrollo de medicamentos, se utilizan ampliamente las técnicas in vivo e in vitro, que son costosas y requieren mucho tiempo. La inteligencia artificial está desempeñando un papel cada vez más importante en el descubrimiento de fármacos, con el potencial de ahorrar una cantidad significativa de tiempo y dinero. Como resultado, durante el período de pronóstico, se espera que el mercado crezca. El mercado está creciendo como resultado del aumento de las inversiones públicas y privadas en IA en genómica. El crecimiento de este mercado está siendo impulsado por la implementación de tecnologías de IA en la medicina de precisión.

Sin embargo, durante el período de pronóstico, se espera que la falta de una fuerza laboral competente en IA y las reglas regulatorias inciertas para el software médico limiten el crecimiento del mercado de inteligencia artificial en genómica. Además, en los últimos años, varios países han realizado importantes inversiones en investigación genómica. Este es un mercado con mucho margen de expansión. Estos gastos han beneficiado sustancialmente el desarrollo de nuevas tecnologías. El Departamento de Biotecnología, por ejemplo, lanzó el Proyecto Genoma de la India (GIP) (DBT). El propósito de este estudio es recolectar 10,000 muestras genéticas de nativos americanos.

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Artificial Intelligence In Genomics Market | Exactitude Consultancy

Inteligencia artificial en el mercado de la genómica | Exactitude Consultancy[/subtítulo]

Frequently Asked Questions

• What is the worth of global artificial intelligence in genomics market?

The artificial intelligence in genomics market size had crossed USD 8.34 Billion in 2022 and will observe a CAGR of more than 6.1% up to 2029 driven by the burgeoning need to reduce the cost and time of drug development.

• What are the upcoming trends of artificial intelligence in genomics market, globally?

The upcoming trend in artificial intelligence in genomics market is focus on developing human-aware AI systems is an opportunity for market growth.

• What is the CAGR of artificial intelligence in genomics market?

The global artificial intelligence in genomics market registered a CAGR of 6.1% from 2023 to 2029. The technology segment was the highest revenue contributor to the market.

• Which are the top companies to hold the market share in artificial intelligence in genomics market?

Key players profiled in the report include IBM, Microsoft, NVIDIA Corporation, Deep Genomics, BenevolentAI, Fabric Genomics Inc., Verge Genomics, Freenome Holdings, Inc., MolecularMatch Inc., and Cambridge Cancer Genomics.

• Which is the largest regional market for artificial intelligence in genomics market?

North America is the largest regional market with 46% of share Due to the increased acceptance of AI in genome sequencing and rising awareness among regional pharma and biotech organisations, the AI in genomics market in North America is expected to rise.

Artificial Intelligence In Genomics Market Segment Analysis

The artificial intelligence in genomics market is divided into software, services based on offering. AI can take the form of software or tools that can resemble human intelligence in some situations and even outperform it in others. As the complexity of genetic data grows, researchers are turning to artificial intelligence and machine learning to uncover important correlations.

The market is divided into machine learning, computer vision based on technology. Pharmaceutical corporations, contract research organisations, and biotechnology companies all used machine learning for drug genomics applications, which dominated the market. This is due to machine learning's ability to extract insights from enormous data sets, hence speeding up genomic research.

The market is divided into genome sequencing, gene editing, gene mapping based on functionality. Traditional operations and medications are anticipated to be replaced as gene therapy advances. Healthcare providers will be able to treat an illness by putting a gene into their patients' cells. The discovery of gene editing is both delicate and strong.

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Artificial Intelligence In Genomics Market | Exactitude Consultancy[/caption]

Artificial Intelligence In Genomics Market Players

The major players operating in the global artificial intelligence in genomics industry include IBM, Microsoft, NVIDIA Corporation, Deep Genomics, BenevolentAI, Fabric Genomics Inc., Verge Genomics, Freenome Holdings, Inc., MolecularMatch Inc., and Cambridge Cancer Genomics. The presence of established industry players and is characterized by mergers and acquisitions, joint ventures, capacity expansions, substantial distribution, and branding decisions to improve market share and regional presence. Also, they are involved in continuous R&D activities to develop new products as well as are focused on expanding the product portfolio. This is expected to intensify competition and pose a potential threat to the new players entering the market.

21 March, 2022 IBM and Genomics England Forge New Partnership to Transform Patient Care

Genomics, the study of how your genes interact with the external world, is transforming how medical science works. England is leading the world in using this information in the healthcare system, enabling clinicians to bring these insights to determine the treatment for a particular patient – this is precision medicine. Understanding genomes can provide evidence to help diagnose disease more quickly and specifically, particularly in cancer and rare diseases. This understanding of disease is important to researchers working to develop new diagnostic tests and treatments – small changes in a genome can show how to target treatments to help more patients in future.

In February 2020, IBM Watson Health signed partnership with Broad Institute of MIT and Harvard (US). An extended partnership will allow the Broad Institute to analyze and explore genomics data to understand intrinsic susceptibility. In October 2020, NVIDIA announced a partnership with global healthcare company GSK and its AI group. GSK’s new hub in London is expected to support its UK based team and scientists from NVIDIA to enhance drug and vaccine discovery using NVIDIA platforms.

Who Should Buy? Or Key stakeholders

Research and development
Manufacturing
End Use industries
Healthcare sector
Specialty Clinic

Artificial Intelligence In Genomics Market Regional Analysis

Geographically, the artificial intelligence in genomics market is segmented into North America, South America, Europe, APAC and MEA.

North America: includes the US, Canada, Mexico
Europe: includes UK, Germany, France, Italy, Spain, Russia, and Rest of Europe
Asia Pacific: includes China, Japan, South Korea, India, Australia, ASEAN and Rest of APAC
South America: includes Brazil, Argentina and Rest of South America
Middle East & Africa: includes Turkey, UAE, Saudi Arabia, South Africa, and Rest of MEA

North America is expected to hold the largest share of the global artificial intelligence in genomics. Due to the increased acceptance of AI in genome sequencing and rising awareness among regional pharma and biotech organisations, the AI in genomics market in North America is expected to rise. In North America, AI deep learning algorithms have also saved countless lives by lowering the time it takes to diagnose diseases patients’ treatment recovery cycle. The implementation of personal genome sequencing testing, particularly for reproductive health, is being driven by growing awareness among European patients. Artificial Intelligence (AI) is widely used in diagnostics and contributes to more accessible, economical, and high-quality healthcare, resulting in increased accuracy.

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Key Market Segments: Artificial Intelligence In Genomics Market

Artificial Intelligence In Genomics Market By Offering, 2022-2029, (USD Million)

Software
Services

Artificial Intelligence In Genomics Market By Technology, 2022-2029, (USD Million)

Machine Learning
Computer Vision

Artificial Intelligence In Genomics Market By Functionality, 2022-2029, (USD Million)

Genome Sequencing
Gene Editing
Gene Mapping

Artificial Intelligence In Genomics Market By Regions, 2022-2029, (USD Million)

North America
Europe
Asia Pacific
South America
Middle East and Africa

Important Countries in All Regions Are Covered.

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Key Question Answered

What is the current scenario of global artificial intelligence in genomics market?
What are the emerging technologies for the development of artificial intelligence in genomics devices?
What are the historical size and the present size of the market segments and their future potential?
What are the major catalysts for the market and their impact during the short, medium, and long terms?
What are the evolving opportunities for the players in the market?
Which are the key regions from the investment perspective?
What are the key strategies being adopted by the major players to up their market shares?

INTRODUCCIÓN
1. DEFINICIÓN DE MERCADO
2. SEGMENTACIÓN DEL MERCADO
3. CRONOGRAMAS DE INVESTIGACIÓN
4. SUPUESTOS Y LIMITACIONES

METODOLOGÍA DE LA INVESTIGACIÓN
1. MINERÍA DE DATOS
  1. INVESTIGACIÓN SECUNDARIA
  2. INVESTIGACIÓN PRIMARIA
  3. ASESORAMIENTO DE EXPERTOS EN LA MATERIA
2. CONTROLES DE CALIDAD
  1. REVISIÓN FINAL
3. TRIANGULACIÓN DE DATOS
  1. ENFOQUE DE ABAJO HACIA ARRIBA
  2. ENFOQUE DE ARRIBA HACIA ABAJO
  3. FLUJO DE INVESTIGACIÓN
4. FUENTES DE DATOS

RESUMEN EJECUTIVO

PANORAMA DEL MERCADO
1. PERSPECTIVAS DEL MERCADO GLOBAL DE INTELIGENCIA ARTIFICIAL EN GENÓMICA
  1. IMPULSORES DEL MERCADO
  2. RESTRICCIONES DEL MERCADO
  3. OPORTUNIDADES DE MERCADO
2. IMPACTO DEL COVID-19 EN EL MERCADO DE LA INTELIGENCIA ARTIFICIAL EN GENÓMICA
3. MODELO DE LAS CINCO FUERZAS DE PORTER
  1. AMENAZA DE NUEVOS INGRESANTES
  2. AMENAZA DE SUSTITUTOS
  3. PODER DE NEGOCIACIÓN DE LOS PROVEEDORES
  4. PODER DE NEGOCIACIÓN DE LOS CLIENTES
  5. GRADO DE COMPETENCIA
4. ANÁLISIS DE LA CADENA DE VALOR DE LA INDUSTRIA

MERCADO GLOBAL DE INTELIGENCIA ARTIFICIAL EN GENÓMICA POR OFERTA (USD MILLONES)
1. SOFTWARE
2. SERVICIOS

MERCADO GLOBAL DE INTELIGENCIA ARTIFICIAL EN GENÓMICA POR TECNOLOGÍA (USD MILLONES)
1. APRENDIZAJE AUTOMÁTICO
2. VISIÓN POR COMPUTADORA

MERCADO GLOBAL DE INTELIGENCIA ARTIFICIAL EN GENÓMICA POR FUNCIONALIDAD (USD MILLONES)
1. SECUENCIACIÓN DEL GENOMA
2. EDICIÓN GENÉTICA
3. MAPEO GENÉTICO

MERCADO GLOBAL DE INTELIGENCIA ARTIFICIAL EN GENÓMICA POR REGIÓN
1. AMÉRICA DEL NORTE
  1. A NOSOTROS
  2. CANADÁ
  3. MÉXICO
2. SUDAMERICA
  1. BRASIL
  2. ARGENTINA
  3. COLOMBIA
  4. REST OF SOUTH AMERICA
3. EUROPE
  1. GERMANY
  2. UK
  3. FRANCE
  4. ITALY
  5. SPAIN
  6. RUSSIA
  7. REST OF EUROPE
4. ASIA PACIFIC
  1. INDIA
  2. CHINA
  3. JAPAN
  4. SOUTH KOREA
  5. AUSTRALIA
  6. SOUTH-EAST ASIA
  7. REST OF ASIA PACIFIC
5. MIDDLE EAST AND AFRICA
  1. UAE
  2. SAUDI ARABIA
  3. SOUTH AFRICA
  4. REST OF MIDDLE EAST AND AFRICA

COMPANY PROFILES* (BUSINESS OVERVIEW, COMPANY SNAPSHOT, PRODUCTS OFFERED, RECENT DEVELOPMENTS)
1. IBM
2. MICROSOFT
3. NVIDIA CORPORATION
4. DEEP GENOMICS
5. BENEVOLENTAI
6. FABRIC GENOMICS INC
7. VERGE GENOMICS
8. FREENOME HOLDINGS, INC.
9. MOLECULARMATCH INC
10. CAMBRIDGE CANCER GENOMICS *THE COMPANY LIST IS INDICATIVE

LIST OF TABLES

TABLE 1                   GLOBAL ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET BY OFFERING (USD MILLIONS)

TABLE 2                   GLOBAL ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET BY TECHNOLOGY (USD MILLIONS) 2022-2029

TABLE 3                   GLOBAL ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET BY FUNCTIONALITY (USD MILLIONS) 2022-2029

TABLE 4                   GLOBAL ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET BY REGION (USD MILLIONS) 2022-2029

TABLE 5                   US ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET BY OFFERING (USD MILLIONS) 2022-2029

TABLE 6                   US ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET BY TECHNOLOGY (USD MILLIONS) 2022-2029

TABLE 7                   US ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET BY FUNCTIONALITY (USD MILLIONS) 2022-2029

TABLE 8                   CANADA ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET BY OFFERING (USD MILLIONS) 2022-2029

TABLE 9                   CANADA ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET BY TECHNOLOGY (USD MILLIONS) 2022-2029

TABLE 10                 CANADA ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET BY FUNCTIONALITY (USD MILLIONS) 2022-2029

TABLE 11                 MEXICO ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET BY OFFERING (USD MILLIONS) 2022-2029

TABLE 12                 MEXICO ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET BY TECHNOLOGY (USD MILLIONS) 2022-2029

TABLE 13                 MEXICO ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET BY FUNCTIONALITY (USD MILLIONS) 2022-2029

TABLE 14                 BRAZIL ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET BY OFFERING (USD MILLIONS) 2022-2029

TABLE 15                 BRAZIL ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET BY TECHNOLOGY (USD MILLIONS) 2022-2029

TABLE 16                 BRAZIL ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET BY FUNCTIONALITY (USD MILLIONS) 2022-2029

TABLE 17                 ARGENTINA ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET BY OFFERING (USD MILLIONS) 2022-2029

TABLE 18                 ARGENTINA ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET BY TECHNOLOGY (USD MILLIONS) 2022-2029

TABLE 19                 ARGENTINA ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET BY FUNCTIONALITY (USD MILLIONS) 2022-2029

TABLE 20                 COLOMBIA ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET BY OFFERING (USD MILLIONS) 2022-2029

TABLE 21                 COLOMBIA ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET BY TECHNOLOGY (USD MILLIONS) 2022-2029

TABLE 22                 COLOMBIA ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET BY FUNCTIONALITY (USD MILLIONS) 2022-2029

TABLE 23                 REST OF SOUTH AMERICA ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET BY OFFERING (USD MILLIONS) 2022-2029

TABLE 24                 REST OF SOUTH AMERICA ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET BY TECHNOLOGY (USD MILLIONS) 2022-2029

TABLE 25                 REST OF SOUTH AMERICA ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET BY FUNCTIONALITY (USD MILLIONS) 2022-2029

TABLE 26                 INDIA ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET BY OFFERING (USD MILLIONS) 2022-2029

TABLE 27                 INDIA ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET BY TECHNOLOGY (USD MILLIONS) 2022-2029

TABLE 28                 INDIA ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET BY FUNCTIONALITY (USD MILLIONS) 2022-2029

TABLE 29                 CHINA ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET BY OFFERING (USD MILLIONS) 2022-2029

TABLE 30                 CHINA ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET BY TECHNOLOGY (USD MILLIONS) 2022-2029

TABLE 31                 CHINA ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET BY FUNCTIONALITY (USD MILLIONS) 2022-2029

TABLE 32                 JAPAN ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET BY OFFERING (USD MILLIONS) 2022-2029

TABLE 33                 JAPAN ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET BY TECHNOLOGY (USD MILLIONS) 2022-2029

TABLE 34                 JAPAN ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET BY FUNCTIONALITY (USD MILLIONS) 2022-2029

TABLE 35                 SOUTH KOREA ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET BY OFFERING (USD MILLIONS) 2022-2029

TABLE 36                 SOUTH KOREA ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET BY TECHNOLOGY (USD MILLIONS) 2022-2029

TABLE 37                 SOUTH KOREA ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET BY FUNCTIONALITY (USD MILLIONS) 2022-2029

TABLE 38                 AUSTRALIA ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET BY OFFERING (USD MILLIONS) 2022-2029

TABLE 39                 AUSTRALIA ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET BY TECHNOLOGY (USD MILLIONS) 2022-2029

TABLE 40                 AUSTRALIA ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET BY FUNCTIONALITY (USD MILLIONS) 2022-2029

TABLE 41                 SOUTH-EAST ASIA ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET BY OFFERING (USD MILLIONS) 2022-2029

TABLE 42                 SOUTH-EAST ASIA ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET BY TECHNOLOGY (USD MILLIONS) 2022-2029

TABLE 43                 SOUTH-EAST ASIA ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET BY FUNCTIONALITY (USD MILLIONS) 2022-2029

TABLE 44                 REST OF ASIA PACIFIC ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET BY OFFERING (USD MILLIONS) 2022-2029

TABLE 45                 REST OF ASIA PACIFIC ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET BY TECHNOLOGY (USD MILLIONS) 2022-2029

TABLE 46                 REST OF ASIA PACIFIC ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET BY FUNCTIONALITY (USD MILLIONS) 2022-2029

TABLE 47                 GERMANY ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET BY OFFERING (USD MILLIONS) 2022-2029

TABLE 48                 GERMANY ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET BY TECHNOLOGY (USD MILLIONS) 2022-2029

TABLE 49                 GERMANY ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET BY FUNCTIONALITY (USD MILLIONS) 2022-2029

TABLE 50                 UK ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET BY OFFERING (USD MILLIONS) 2022-2029

TABLE 51                 UK ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET BY TECHNOLOGY (USD MILLIONS) 2022-2029

TABLE 52                 UK ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET BY FUNCTIONALITY (USD MILLIONS) 2022-2029

TABLE 53                 FRANCE ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET BY OFFERING (USD MILLIONS) 2022-2029

TABLE 54                 FRANCE ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET BY TECHNOLOGY (USD MILLIONS) 2022-2029

TABLE 55                 FRANCE ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET BY FUNCTIONALITY (USD MILLIONS) 2022-2029

TABLE 56                 ITALY ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET BY OFFERING (USD MILLIONS) 2022-2029

TABLE 57                 ITALY ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET BY TECHNOLOGY (USD MILLIONS) 2022-2029

TABLE 58                 ITALY ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET BY FUNCTIONALITY (USD MILLIONS) 2022-2029

TABLE 59                 SPAIN ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET BY OFFERING (USD MILLIONS) 2022-2029

TABLE 60                 SPAIN ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET BY TECHNOLOGY (USD MILLIONS) 2022-2029

TABLE 61                 SPAIN ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET BY FUNCTIONALITY (USD MILLIONS) 2022-2029

TABLE 62                 RUSSIA ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET BY OFFERING (USD MILLIONS) 2022-2029

TABLE 63                 RUSSIA ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET BY TECHNOLOGY (USD MILLIONS) 2022-2029

TABLE 64                 RUSSIA ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET BY FUNCTIONALITY (USD MILLIONS) 2022-2029

TABLE 65                 REST OF EUROPE ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET BY OFFERING (USD MILLIONS) 2022-2029

TABLE 66                 REST OF EUROPE ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET BY TECHNOLOGY (USD MILLIONS) 2022-2029

TABLE 67                 REST OF EUROPE ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET BY FUNCTIONALITY (USD MILLIONS) 2022-2029

TABLE 68                 UAE ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET BY OFFERING (USD MILLIONS) 2022-2029

TABLE 69                 UAE ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET BY TECHNOLOGY (USD MILLIONS) 2022-2029

TABLE 70                 UAE ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET BY FUNCTIONALITY (USD MILLIONS) 2022-2029

TABLE 71                 SAUDI ARABIA ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET BY OFFERING (USD MILLIONS) 2022-2029

TABLE 72                 SAUDI ARABIA ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET BY TECHNOLOGY (USD MILLIONS) 2022-2029

TABLE 73                 SAUDI ARABIA ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET BY FUNCTIONALITY (USD MILLIONS) 2022-2029

TABLE 74                 SOUTH AFRICA ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET BY OFFERING (USD MILLIONS) 2022-2029

TABLE 75                 SOUTH AFRICA ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET BY TECHNOLOGY (USD MILLIONS) 2022-2029

TABLE 76                 SOUTH AFRICA ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET BY FUNCTIONALITY (USD MILLIONS) 2022-2029

TABLE 77                 REST OF MIDDLE EAST AND AFRICA ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET BY OFFERING (USD MILLIONS) 2022-2029

TABLE 78                 REST OF MIDDLE EAST AND AFRICA ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET BY TECHNOLOGY (USD MILLIONS) 2022-2029

TABLE 79                 REST OF MIDDLE EAST AND AFRICA ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET BY FUNCTIONALITY (USD MILLIONS) 2022-2029

LIST OF FIGURES

FIGURE 1                MARKET DYNAMICS

FIGURE 2                MARKET SEGMENTATION

FIGURE 3                REPORT TIMELINES: YEARS CONSIDERED

FIGURE 4                DATA TRIANGULATION

FIGURE 5                BOTTOM-UP APPROACH

FIGURE 6                TOP-DOWN APPROACH

FIGURE 7                RESEARCH FLOW

FIGURE 8                GLOBAL ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET BY OFFERING, USD MILLION, 2022-2029

FIGURE 9                GLOBAL ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET BY TECHNIQUE, USD MILLION, 2022-2029

FIGURE 10              GLOBAL ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET BY END USER, USD MILLION, 2022-2029

FIGURE 11              GLOBAL ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET BY REGION, USD MILLION, 2022-2029

FIGURE 12              PORTER’S FIVE FORCES MODEL

FIGURE 13              NORTH AMERICA ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SNAPSHOT

FIGURE 14              EUROPE ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SNAPSHOT

FIGURE 15              ASIA PACIFIC ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SNAPSHOT

FIGURE 16              SOUTH AMERICA ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SNAPSHOT

FIGURE 17              MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SNAPSHOT

FIGURE 18              MARKET SHARE ANALYSIS

FIGURE 19              IBM: COMPANY SNAPSHOT

FIGURE 20              MICROSOFT: COMPANY SNAPSHOT

FIGURE 21              NVIDIA CORPORATION: COMPANY SNAPSHOT

FIGURE 22              DEEP GENOMICS: COMPANY SNAPSHOT

FIGURE 23              BENEVOLENTAI: COMPANY SNAPSHOT

FIGURE 24              FABRIC GENOMICS INC: COMPANY SNAPSHOT

FIGURE 25              VERGE GENOMICS: COMPANY SNAPSHOT

FIGURE 26              MOLECULARMATCH INC: COMPANY SNAPSHOT

FIGURE 27              FREENOME HOLDINGS, INC.: COMPANY SNAPSHOT

Identifying Key Products in the Market

The identification of key products in any market is pivotal for understanding what drives consumer interest, technological innovation, and competitive advantage. Here’s how to approach this:
Market Analysis Reports: Start with syndicated market analysis reports from firms like Nielsen, Euromonitor, or specialized industry analysts. These reports often highlight leading products based on sales data, innovation, and consumer feedback.
Patent Filings: Reviewing patent filings can provide insight into technological innovations and future products that may impact the market. Databases like the United States Patent and Trademark Office (USPTO) or the World Intellectual Property Organization (WIPO) can be invaluable.
Ecommerce Platforms and Retailer Websites: Analyzing bestselling products and customer reviews on platforms such as Amazon, Flipkart, or direct retailer websites can offer direct insights into consumer preferences and product popularity.
Consumer Surveys and Feedback: Conducting surveys or analyzing online forums and social media can reveal consumer preferences, pain points, and desired features in products. Tools like SurveyMonkey, Google Surveys, or social listening platforms can facilitate this process.

Segmenting the Market and Products

Market and product segmentation is crucial for targeting marketing efforts and product development. Here’s a methodology for segmenting based on technical specifications:
Technical Specifications Review: Compile a comprehensive list of products within the market, focusing on their technical specifications. This could involve processor speeds for electronics, ingredients for food products, or material composition for apparel.
Factor Analysis: Use statistical techniques like factor analysis to group products based on shared technical specifications. This method helps identify underlying relationships between different specifications and how they cluster together.
Expert Consultation: Engage with industry experts or technical specialists to ensure that the segmentation makes sense from both a market and a technical perspective. This step ensures the practical relevance of the segments identified.

Identifying and Classifying Key Application Segments

Understanding how products are used in different applications is essential for market strategy:
Use Case Analysis: Identify common use cases for products by reviewing product literature, customer testimonials, and case studies. This helps understand the variety of applications each product serves.
Industry Surveys: Conduct surveys targeting professionals in the field to understand how and why certain products are preferred in specific applications. This can also reveal unmet needs in the market.
ApplicationBased Segmentation: Group products based on their primary applications, considering factors such as industry use, consumer vs. professional use, and environmental conditions.

Calculating Market Size Using TopDown and BottomUp Approaches

Estimating the market size accurately is fundamental for strategic planning:
TopDown Approach: Start with global industry data and narrow down to the target market by applying known market shares or segmentation percentages. Industry reports and financial databases are key sources for this approach.
BottomUp Approach: Aggregate sales data or unit shipments from all known market participants. This might require gathering data from company reports, industry associations, and sales channels.
Combining Approaches: Validate the market size estimates by comparing the results from both approaches. Discrepancies can highlight areas requiring further investigation.

Calculating the CAGR for the Market

The Compound Annual Growth Rate (CAGR) is a useful measure to understand market growth over time:
Historical Sales Data: Gather historical sales or market size data over a defined period. Public company filings, industry reports, and government databases can be sources for this data.
CAGR Formula: Apply the CAGR formula \[CAGR = (EV/BV)^{1/n} 1\], where EV is the end value, BV is the beginning value, and n is the number of periods.
Segment and Overall Market CAGR: Calculate CAGR for both the overall market and individual segments to understand growth patterns.

Sources for Secondary or Desk Research

Identifying the right sources is crucial for accurate desk research:
Industry and Market Research Reports: Sources like IBISWorld, Statista, and Frost & Sullivan offer comprehensive industry reports.
Government and International Organizations: Websites of the U.S. Census Bureau, World Bank, and OECD provide economic and industry specific data.
Academic Journals: Platforms like Google Scholar and JSTOR can offer peer reviewed articles on market trends and consumer behavior.
News Archives and Trade Publications: Stay informed on industry developments through sources like Bloomberg, Reuters, and specific trade journals relevant to the market in question.
Each of these steps requires careful consideration and a systematic approach to ensure that the market research report is robust, insightful, and actionable.

Artificial Intelligence In Genomics Market

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