Market Overview:
The global artificial intelligence in genomics market is expected to grow at a CAGR of 27.5% during the forecast period from 2018 to 2030. The growth of this market can be attributed to the increasing demand for precision medicine, growing focus on personalized medicine, and rising investments in artificial intelligence technology. The global artificial intelligence in genomics market is segmented on the basis of type into machine learning and computer vision. The machine learning segment is expected to account for the largest share of the global artificial intelligence in genomics market during the forecast period. This can be attributed to its ability to learn from data without being explicitly programmed and its growing adoption across industries such as healthcare, automotive, retail, and banking & financial services. On the basis of application, the global artificial intelligence in genomics market is segmented into pharma and research segments.
Product Definition:
The application of artificial intelligence techniques to problems in genomics. Artificial intelligence can be used to analyze genomic data, identify patterns, and make predictions about the function of genes and DNA sequences.
Machine Learning:
Machine learning is a subset of artificial intelligence. It has been defined as the following: The ability of a computer to learn from experience without being explicitly programmed. It is based on the statistical method that enables it to extract information from data by identifying patterns. In other words, it's an automated process for deriving information from data where data is treated as raw material and processed using algorithms.
Computer Vision:
Computer vision is the part of artificial intelligence in genomics that helps in analyzing and understanding the genetic data. It also helps to detect, classify, and identify any disease or health condition from a DNA sequence. The growing demand for early diagnosis of various diseases along with increasing funding for research related to genetic analysis is expected to drive computer vision market growth over the forecast period.
For instance, In March 2018 Google LLC has announced its collaboration with Illumina Inc.
Application Insights:
The pharma application segment accounted for the largest revenue share in 2017 and is anticipated to maintain its dominance over the forecast period. The growing adoption of genomic information in drug discovery and development is expected to drive growth. Moreover, increasing R&D investments by major players such as Google, Microsoft, Amazon are likely to contribute towards market growth.
The research application segment is anticipated to register a significant CAGR over the forecast period owing to increasing government funding for genetic research projects at universities and institutes across countries including U.S., China, India etc. Increasingly sophisticated machine learning algorithms being applied in genomics have led researchers astray from traditional methods of data analysis that were used before AI was introduced into genetic studies such as statistics or bioinformatics; these new techniques enable researchers extract meaningful insights from genomic data sets which were not possible with other technologies alone (for instance text mining).
Regional Analysis:
North America dominated the global market in 2017. This can be attributed to the presence of a large number of AI genomics companies, such as 23andMe Inc.; deCODEme LLC; and Navigenics, Inc., in this region. Moreover, increasing investments by these companies for developing new AI-based genomics products is expected to drive regional growth over the forecast period. For instance, in May 2018, 23andMe Inc., announced that it had raised USD X billion from investors including Google Ventures and IVP for developing new products based on artificial intelligence (AI) technology.
Asia Pacific is anticipated to witness lucrative growth over the forecast period owing to growing adoption of advanced technologies across various healthcare sectors especially within emerging economies such as India and China. In addition, rising prevalence of chronic diseases coupled with government initiatives aimed at improving public health are expected fuel regional demand during the forecast period (2018-2030).
Growth Factors:
- Increasing demand for precision medicine: The application of artificial intelligence in genomic sequencing is expected to play a major role in precision medicine. It helps identify the genetic variants associated with a particular disease and helps doctors prescribe the most appropriate treatment.
- Advances in machine learning and big data analytics: The rapid advances in machine learning and big data analytics are helping to improve the accuracy of predictions made by artificial intelligence algorithms. This is making them more useful for genomic sequencing applications.
- Growing investment in AI research: There has been a significant increase in investment into AI research over the past few years, as businesses and governments recognise its potential benefits. This is likely to lead to further advances in AI-based genomic sequencing technologies.
Scope Of The Report
Report Attributes
Report Details
Report Title
Artificial Intelligence In Genomics Market Research Report
By Type
Machine Learning, Computer Vision
By Application
Pharma, Research
By Companies
Deep Genomics, IBM, FDNA Inc., Microsoft, Genoox Ltd., NVIDIA Corporation, Lifebit, BenevolentAI, Cambridge Cancer Genomics, Fabric Genomics Inc., Verge Genomics, SOPHiA GENETICS, Freenome Holdings, Inc., MolecularMatch Inc., Data4Cure Inc., PrecisionLife Ltd, Diploid, DNAnexus Inc.
Regions Covered
North America, Europe, APAC, Latin America, MEA
Base Year
2021
Historical Year
2019 to 2020 (Data from 2010 can be provided as per availability)
Forecast Year
2030
Number of Pages
169
Number of Tables & Figures
119
Customization Available
Yes, the report can be customized as per your need.
Global Artificial Intelligence In Genomics Market Report Segments:
The global Artificial Intelligence In Genomics market is segmented on the basis of:
Types
Machine Learning, Computer Vision
The product segment provides information about the market share of each product and the respective CAGR during the forecast period. It lays out information about the product pricing parameters, trends, and profits that provides in-depth insights of the market. Furthermore, it discusses latest product developments & innovation in the market.
Applications
Pharma, Research
The application segment fragments various applications of the product and provides information on the market share and growth rate of each application segment. It discusses the potential future applications of the products and driving and restraining factors of each application segment.
Some of the companies that are profiled in this report are:
- Deep Genomics
- IBM
- FDNA Inc.
- Microsoft
- Genoox Ltd.
- NVIDIA Corporation
- Lifebit
- BenevolentAI
- Cambridge Cancer Genomics
- Fabric Genomics Inc.
- Verge Genomics
- SOPHiA GENETICS
- Freenome Holdings, Inc.
- MolecularMatch Inc.
- Data4Cure Inc.
- PrecisionLife Ltd
- Diploid
- DNAnexus Inc.
Highlights of The Artificial Intelligence In Genomics Market Report:
- The market structure and projections for the coming years.
- Drivers, restraints, opportunities, and current trends of market.
- Historical data and forecast.
- Estimations for the forecast period 2030.
- Developments and trends in the market.
- By Type:
- Machine Learning
- Computer Vision
- By Application:
- Pharma
- Research
- Market scenario by region, sub-region, and country.
- Market share of the market players, company profiles, product specifications, SWOT analysis, and competitive landscape.
- Analysis regarding upstream raw materials, downstream demand, and current market dynamics.
- Government Policies, Macro & Micro economic factors are also included in the report.
We have studied the Artificial Intelligence In Genomics Market in 360 degrees via. both primary & secondary research methodologies. This helped us in building an understanding of the current market dynamics, supply-demand gap, pricing trends, product preferences, consumer patterns & so on. The findings were further validated through primary research with industry experts & opinion leaders across countries. The data is further compiled & validated through various market estimation & data validation methodologies. Further, we also have our in-house data forecasting model to predict market growth up to 2030.
Regional Analysis
- North America
- Europe
- Asia Pacific
- Middle East & Africa
- Latin America
Note: A country of choice can be added in the report at no extra cost. If more than one country needs to be added, the research quote will vary accordingly.
The geographical analysis part of the report provides information about the product sales in terms of volume and revenue in regions. It lays out potential opportunities for the new entrants, emerging players, and major players in the region. The regional analysis is done after considering the socio-economic factors and government regulations of the countries in the regions.
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8 Reasons to Buy This Report
- Includes a Chapter on the Impact of COVID-19 Pandemic On the Market
- Report Prepared After Conducting Interviews with Industry Experts & Top Designates of the Companies in the Market
- Implemented Robust Methodology to Prepare the Report
- Includes Graphs, Statistics, Flowcharts, and Infographics to Save Time
- Industry Growth Insights Provides 24/5 Assistance Regarding the Doubts in the Report
- Provides Information About the Top-winning Strategies Implemented by Industry Players.
- In-depth Insights On the Market Drivers, Restraints, Opportunities, and Threats
- Customization of the Report Available
Frequently Asked Questions?
Artificial intelligence (AI) is a branch of computer science that deals with the creation of intelligent agents, which are systems that can reason, learn and act autonomously. In genomics, AI can be used to improve the accuracy and speed of genomic sequencing by automatically identifying and correcting errors in sequence data.
Some of the major companies in the artificial intelligence in genomics market are Deep Genomics, IBM, FDNA Inc., Microsoft, Genoox Ltd., NVIDIA Corporation, Lifebit, BenevolentAI, Cambridge Cancer Genomics, Fabric Genomics Inc., Verge Genomics, SOPHiA GENETICS, Freenome Holdings, Inc., MolecularMatch Inc., Data4Cure Inc., PrecisionLife Ltd, Diploid, DNAnexus Inc..
The artificial intelligence in genomics market is expected to register a CAGR of 27.5%.
Chapter 1 Executive Summary
Chapter 2 Assumptions and Acronyms Used
Chapter 3 Research Methodology
Chapter 4 Artificial Intelligence In Genomics Market Overview
4.1 Introduction
4.1.1 Market Taxonomy
4.1.2 Market Definition
4.1.3 Macro-Economic Factors Impacting the Market Growth
4.2 Artificial Intelligence In Genomics Market Dynamics
4.2.1 Market Drivers
4.2.2 Market Restraints
4.2.3 Market Opportunity
4.3 Artificial Intelligence In Genomics Market - Supply Chain Analysis
4.3.1 List of Key Suppliers
4.3.2 List of Key Distributors
4.3.3 List of Key Consumers
4.4 Key Forces Shaping the Artificial Intelligence In Genomics Market
4.4.1 Bargaining Power of Suppliers
4.4.2 Bargaining Power of Buyers
4.4.3 Threat of Substitution
4.4.4 Threat of New Entrants
4.4.5 Competitive Rivalry
4.5 Global Artificial Intelligence In Genomics Market Size & Forecast, 2020-2028
4.5.1 Artificial Intelligence In Genomics Market Size and Y-o-Y Growth
4.5.2 Artificial Intelligence In Genomics Market Absolute $ Opportunity
Chapter 5 Global Market Analysis and Forecast by Type
5.1 Introduction
5.1.1 Key Market Trends & Growth Opportunities by Type
5.1.2 Basis Point Share (BPS) Analysis by Type
5.1.3 Absolute $ Opportunity Assessment by Type
5.2 Market Size Forecast by Type
5.2.1 Machine Learning
5.2.2 Computer Vision
5.3 Market Attractiveness Analysis by Type
Chapter 6 Global Market Analysis and Forecast by Applications
6.1 Introduction
6.1.1 Key Market Trends & Growth Opportunities by Applications
6.1.2 Basis Point Share (BPS) Analysis by Applications
6.1.3 Absolute $ Opportunity Assessment by Applications
6.2 Market Size Forecast by Applications
6.2.1 Pharma
6.2.2 Research
6.3 Market Attractiveness Analysis by Applications
Chapter 7 Global Artificial Intelligence In Genomics Market Analysis and Forecast by Region
7.1 Introduction
7.1.1 Key Market Trends & Growth Opportunities by Region
7.1.2 Basis Point Share (BPS) Analysis by Region
7.1.3 Absolute $ Opportunity Assessment by Region
7.2 Artificial Intelligence In Genomics Market Size Forecast by Region
7.2.1 North America
7.2.2 Europe
7.2.3 Asia Pacific
7.2.4 Latin America
7.2.5 Middle East & Africa (MEA)
7.3 Market Attractiveness Analysis by Region
Chapter 8 Coronavirus Disease (COVID-19) Impact
8.1 Introduction
8.2 Current & Future Impact Analysis
8.3 Economic Impact Analysis
8.4 Government Policies
8.5 Investment Scenario
Chapter 9 North America Analysis and Forecast
9.1 Introduction
9.2 North America Market Size Forecast by Country
9.2.1 U.S.
9.2.2 Canada
9.3 Basis Point Share (BPS) Analysis by Country
9.4 Absolute $ Opportunity Assessment by Country
9.5 Market Attractiveness Analysis by Country
9.6 North America Market Size Forecast by Type
9.6.1 Machine Learning
9.6.2 Computer Vision
9.7 Basis Point Share (BPS) Analysis by Type
9.8 Absolute $ Opportunity Assessment by Type
9.9 Market Attractiveness Analysis by Type
9.10 North America Market Size Forecast by Applications
9.10.1 Pharma
9.10.2 Research
9.11 Basis Point Share (BPS) Analysis by Applications
9.12 Absolute $ Opportunity Assessment by Applications
9.13 Market Attractiveness Analysis by Applications
Chapter 10 Europe Analysis and Forecast
10.1 Introduction
10.2 Europe Market Size Forecast by Country
10.2.1 Germany
10.2.2 France
10.2.3 Italy
10.2.4 U.K.
10.2.5 Spain
10.2.6 Russia
10.2.7 Rest of Europe
10.3 Basis Point Share (BPS) Analysis by Country
10.4 Absolute $ Opportunity Assessment by Country
10.5 Market Attractiveness Analysis by Country
10.6 Europe Market Size Forecast by Type
10.6.1 Machine Learning
10.6.2 Computer Vision
10.7 Basis Point Share (BPS) Analysis by Type
10.8 Absolute $ Opportunity Assessment by Type
10.9 Market Attractiveness Analysis by Type
10.10 Europe Market Size Forecast by Applications
10.10.1 Pharma
10.10.2 Research
10.11 Basis Point Share (BPS) Analysis by Applications
10.12 Absolute $ Opportunity Assessment by Applications
10.13 Market Attractiveness Analysis by Applications
Chapter 11 Asia Pacific Analysis and Forecast
11.1 Introduction
11.2 Asia Pacific Market Size Forecast by Country
11.2.1 China
11.2.2 Japan
11.2.3 South Korea
11.2.4 India
11.2.5 Australia
11.2.6 South East Asia (SEA)
11.2.7 Rest of Asia Pacific (APAC)
11.3 Basis Point Share (BPS) Analysis by Country
11.4 Absolute $ Opportunity Assessment by Country
11.5 Market Attractiveness Analysis by Country
11.6 Asia Pacific Market Size Forecast by Type
11.6.1 Machine Learning
11.6.2 Computer Vision
11.7 Basis Point Share (BPS) Analysis by Type
11.8 Absolute $ Opportunity Assessment by Type
11.9 Market Attractiveness Analysis by Type
11.10 Asia Pacific Market Size Forecast by Applications
11.10.1 Pharma
11.10.2 Research
11.11 Basis Point Share (BPS) Analysis by Applications
11.12 Absolute $ Opportunity Assessment by Applications
11.13 Market Attractiveness Analysis by Applications
Chapter 12 Latin America Analysis and Forecast
12.1 Introduction
12.2 Latin America Market Size Forecast by Country
12.2.1 Brazil
12.2.2 Mexico
12.2.3 Rest of Latin America (LATAM)
12.3 Basis Point Share (BPS) Analysis by Country
12.4 Absolute $ Opportunity Assessment by Country
12.5 Market Attractiveness Analysis by Country
12.6 Latin America Market Size Forecast by Type
12.6.1 Machine Learning
12.6.2 Computer Vision
12.7 Basis Point Share (BPS) Analysis by Type
12.8 Absolute $ Opportunity Assessment by Type
12.9 Market Attractiveness Analysis by Type
12.10 Latin America Market Size Forecast by Applications
12.10.1 Pharma
12.10.2 Research
12.11 Basis Point Share (BPS) Analysis by Applications
12.12 Absolute $ Opportunity Assessment by Applications
12.13 Market Attractiveness Analysis by Applications
Chapter 13 Middle East & Africa (MEA) Analysis and Forecast
13.1 Introduction
13.2 Middle East & Africa (MEA) Market Size Forecast by Country
13.2.1 Saudi Arabia
13.2.2 South Africa
13.2.3 UAE
13.2.4 Rest of Middle East & Africa (MEA)
13.3 Basis Point Share (BPS) Analysis by Country
13.4 Absolute $ Opportunity Assessment by Country
13.5 Market Attractiveness Analysis by Country
13.6 Middle East & Africa (MEA) Market Size Forecast by Type
13.6.1 Machine Learning
13.6.2 Computer Vision
13.7 Basis Point Share (BPS) Analysis by Type
13.8 Absolute $ Opportunity Assessment by Type
13.9 Market Attractiveness Analysis by Type
13.10 Middle East & Africa (MEA) Market Size Forecast by Applications
13.10.1 Pharma
13.10.2 Research
13.11 Basis Point Share (BPS) Analysis by Applications
13.12 Absolute $ Opportunity Assessment by Applications
13.13 Market Attractiveness Analysis by Applications
Chapter 14 Competition Landscape
14.1 Artificial Intelligence In Genomics Market: Competitive Dashboard
14.2 Global Artificial Intelligence In Genomics Market: Market Share Analysis, 2019
14.3 Company Profiles (Details – Overview, Financials, Developments, Strategy)
14.3.1 Deep Genomics
14.3.2 IBM
14.3.3 FDNA Inc.
14.3.4 Microsoft
14.3.5 Genoox Ltd.
14.3.6 NVIDIA Corporation
14.3.7 Lifebit
14.3.8 BenevolentAI
14.3.9 Cambridge Cancer Genomics
14.3.10 Fabric Genomics Inc.
14.3.11 Verge Genomics
14.3.12 SOPHiA GENETICS
14.3.13 Freenome Holdings, Inc.
14.3.14 MolecularMatch Inc.
14.3.15 Data4Cure Inc.
14.3.16 PrecisionLife Ltd
14.3.17 Diploid
14.3.18 DNAnexus Inc.
