세계의 게노믹스용 AI 시장 (2023~2030) : 하드웨어, 소프트웨어

■ 영문 제목 : AI In Genomics Market Size, Share & Trends Analysis Report By Component (Hardware, Software), By Technology (Machine Learning), By Functionality, By Application, By End-use, By Region, And Segment Forecasts, 2023 - 2030

Grand View Research가 발행한 조사보고서이며, 코드는 GRV23MR013 입니다.■ 상품코드 : GRV23MR013
■ 조사/발행회사 : Grand View Research
■ 발행일 : 2023년 2월
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미국 Grand View Research (그랜드뷰리서치)의 본 조사 보고서는 세계의 게노믹스용 AI 시장 규모가 2023년부터 2030년 사이에 CAGR 46.0% 증가하여, 2030년에는 99.9억 달러에 달할 것으로 전망하고 있습니다. 본 조사 자료는 세계의 게노믹스용 AI 시장을 조사대상으로 하여, 조사 방법 및 범위, 개요, 시장 변동/동향/범위, 컴포넌트별 (하드웨어, 소프트웨어, 서비스) 분석, 기술별 (기계 학습, 컴퓨터 비전) 분석, 기능별 (게놈 시퀀싱, 유전자 편집, 기타) 분석, 용도별 (제약 및 개발, 정밀 의료, 진단, 기타) 분석, 지역별 (북미, 유럽, 아시아 태평양, 중남미, 중동 및 아프리카) 분석, 경쟁 분석 등의 내용을 게재하고 있습니다. 또한 본 리포트는 IBM, MICROSOFT, NVIDIA CORPORATION, DEEP GENOMICS, DATA4CURE, INC, FREENOME HOLDINGS, INC, THERMO FISHER SCIENTIFIC, ILLUMINA, INC, SOPHIA GENETICS, BENEVOLENTAI, FABRIC 등의 기업 정보를 포함하고 있습니다.
・조사 방법 및 범위
・개요
・시장 변동/동향/범위
・세계의 게노믹스용 AI 시장 규모 : 컴포넌트별
- 하드웨어의 시장 규모
- 소프트웨어의 시장 규모
- 서비스의 시장 규모
・세계의 게노믹스용 AI 시장 규모 : 기술별
- 기계 학습 기술의 게노믹스용 AI의 시장 규모
- 컴퓨터 비전 기술의 게노믹스용 AI의 시장 규모
・세계의 게노믹스용 AI 시장 규모 : 기능별
- 게놈 시퀀싱 기능의 시장 규모
- 유전자 편집 기능의 시장 규모
- 기타 기능의 시장 규모
・세계의 게노믹스용 AI 시장 규모 : 용도별
- 제약 및 개발에 사용되는 게노믹스용 AI의 시장 규모
- 정밀 의료에 사용되는 게노믹스용 AI의 시장 규모
- 진단에 사용되는 게노믹스용 AI의 시장 규모
- 기타 용도에 사용되는 게노믹스용 AI의 시장 규모
・세계의 게노믹스용 AI 시장 규모 : 지역별
- 북미의 게노믹스용 AI 시장 규모
- 유럽의 게노믹스용 AI 시장 규모
- 아시아 태평양의 게노믹스용 AI 시장 규모
- 중남미의 게노믹스용 AI 시장 규모
- 중동 및 아프리카의 게노믹스용 AI 시장 규모
・경쟁 분석
■ 보고서 개요

AI In Genomics Market Growth & Trends

The global AI in genomics market size is expected to reach USD 9.99 billion by 2030 to expand at a CAGR of 46.0% from 2023 to 2030, based on a new report by Grand View Research, Inc. The market growth can be attributed to the rising need for big data management, growing preference for precision medicine, improved accuracy & efficiency, cost-effectiveness, and advancements in AI technology. These factors are creating a demand for innovative software solutions that can help to manage and analyze large amounts of genomic data to advance the genomics industry.

The industry had a significant impact due to the COVID-19 pandemic, leading to increased investments, a focus on personalized medicine, and the growth of telemedicine. The pandemic led to increased investments in the fields of AI and genomics, as governments, organizations, and private companies looking for ways to cope with the impact of the pandemic. These developments helped to accelerate the expansion of new AI tools and technologies in the genomics industry.

AI has nearly endless potential applications in the field of genomics, and it is already starting to revolutionize healthcare. For instance, AI is being used by Freenome, a U.S.-based company, to detect cancer as the technology from Freenome examines a patient’s blood sample to detect any indications of cancer. Leading healthcare organizations like the Mayo Clinic use the company’s test, and it has raised around USD 100 million from investors.

AI In Genomics Market Report Highlights

• Based on components, the software segment dominated the market with a revenue share of 40.7% in 2022 owing to the rapid adoption of software solutions in genomics driven by the increasing availability of genomic data, the rise of personalized medicine, the need for cost-effective solutions

• Based on the technology, the machine learning segment dominated the market with a revenue share of 63.5% in 2022 pertaining to the growing demand for machine learning in genomics as it provides new insights, improves accuracy, and enables the development of personalized medicine

• Based on functionality, genomic sequencing held the majority of the market with a revenue share of around 44.2% in 2022. AI-powered software solutions can help to automate many of the manual tasks involved in genomic sequencing, reducing the need for human labor and making the process more cost-effective

• Based on application, the drug discovery and development segment held a majority of the market share of 33.5% in 2022 AI solutions help to manage and analyze big data, enabling researchers to uncover new insights and knowledge that can be used to advance drug discovery and development

• Based on end users, the pharmaceutical and biotech companies segment held a majority of the market share in 2022 as the AI algorithms are used by these companies to analyze large amounts of genomic and chemical data to identify new drug targets and predict the efficacy and safety of potential drugs

• North America held the largest market share of around 29.3% in 2022 owing to the rising demand for AI in genomics driven by several factors such as technology advancements, a large amount of genomic data, a growing focus on personalized medicine, and significant investments in research and development

■ 보고서 목차

Table of Contents

Chapter 1 Methodology and Scope
1.1 Market Segmentation and Scope
1.1.1 Component
1.1.2 Technology
1.1.3 Functionality
1.1.4 Application
1.1.5 End Use
1.1.6 regional scope
1.1.7 Estimates and forecast timeline
1.2 Research Methodology
1.3 Information procurement
1.3.1 Purchased database
1.3.2 GVR’s internal database
1.3.3 Secondary sources
1.3.4 Primary research
1.3.5 Details of primary research
1.4 Information or Data Analysis
1.4.1 Data analysis models
1.5 Market Formulation & Validation
1.6 Model Details
1.6.1 Commodity Flow Analysis (Model 1)
1.6.1.1 Approach 1: Commodity Flow Approach
1.6.2 Volume price analysis (Model 2)
1.6.2.1 Approach 2: Volume price analysis
1.7 List of Secondary Sources
1.8 List of Primary Sources
1.9 List of Abbreviations
1.10 Objectives
1.10.1 Objective 1
1.10.2 Objective 2
1.10.3 Objective 3
1.10.4 Objective 4
Chapter 2 Executive Summary
2.1 Market Outlook
Chapter 3 AI in Genomics Market Variables, Trends & Scope
3.1 Penetration & Growth Prospect Mapping, 2022
3.2 Regulatory Framework
3.3 Market Dynamics
3.3.1 Market driver analysis
3.3.1.1 Increase demand for Digital Healthcare Clinical Health Records
3.3.1.2 Increasing application of AI in genomics
3.3.1.3 Reduction in cost and time for genome sequencing
3.3.2 Market restraints analysis
3.3.2.1 Lack of expertise
3.3.2.2 Ambiguous regulatory framework
3.4 AI in Genomics: Market Analysis Tools
3.4.1 Industry analysis – Porter’s
3.4.2 SWOT analysis, By PEST
3.5 Impact of COVID-19
Chapter 4 AI in Genomics Market: Segment Analysis, By Component, 2018 – 2030 (USD Million)
4.1 Definitions & Scope
4.2 Component Market Share Analysis, 2022 & 2030
4.3 AI in Genomics Market, by Component, 2018 to 2030
4.4 Market Size Forecasts and Trend Analysis
4.4.1 Hardware
4.4.1.1 Hardware market, 2018 – 2030 (USD Million)
4.4.2 Software
4.4.2.1 Software market, 2018 – 2030 (USD Million)
4.4.3 Services
4.4.3.1 Services market, 2018 – 2030 (USD Million)
Chapter 5 AI in Genomics Market: Segment Analysis, By Technology, 2018 – 2030 (USD Million)
5.1 Definitions & Scope
5.2 Technology Market Share Analysis, 2022 & 2030
5.3 AI in Genomics Market, by Technology, 2018 to 2030
5.4 Market Size Forecasts and Trend Analysis
5.4.1 Machine Learning
5.4.1.1 Machine learning market, 2018 – 2030 (USD Million)
5.4.1.2 Deep learning market, 2018 – 2030 (USD Million)
5.4.1.3 Supervised learning market, 2018 – 2030 (USD Million)
5.4.1.4 Unsupervised learning market, 2018 – 2030 (USD Million)
5.4.1.5 Others market, 2018 – 2030 (USD Million)
5.4.2 Computer Vision
5.4.2.1 Computer Vision market, 2018 – 2030 (USD Million)
Chapter 6 AI in Genomics Market: Segment Analysis, By Functionality, 2018 – 2030 (USD Million)
6.1 Definitions & Scope
6.2 Functionality Market Share Analysis, 2022 & 2030
6.3 AI in Genomics Market, by Functionality, 2018 to 2030
6.4 Market Size Forecasts and Trend Analysis
6.4.1 Genome Sequencing
6.4.1.1 Genome Sequencing market, 2018 – 2030 (USD Million)
6.4.2 Gene Editing
6.4.2.1 Gene Editing market, 2018 – 2030 (USD Million)
6.4.3 Other Functionalities
6.4.3.1 Other Functionalities, 2018 – 2030 (USD Million)
Chapter 7 AI in Genomics Market: Segment Analysis, By Application, 2018 – 2030 (USD Million)
7.1 Definition and Scope
7.2 Application Market Share Analysis, 2022 & 2030
7.3 AI in Genomics Market, by Application, 2018 to 2030
7.4 Market Size & Forecasts and Trend Analyses, 2018 to 2030
7.4.1 Drug Discovery & Development
7.4.1.1 Drug discovery & development market, 2018-2030 (USD Million)
7.4.2 Precision Medicine
7.4.2.1 Precision medicine market, 2018-2030 (USD Million)
7.4.3 Diagnostics
7.4.3.1 Diagnostics market, 2018-2030 (USD Million)
7.4.4 Other Applications
7.3.4.1 Other applications market, 2018-2030 (USD Million)
7.4.5 Others
7.3.5.1 Others market, 2018-2030 (USD Million)
Chapter 8 AI in Genomics Market: Segment Analysis, By Application, 2018 – 2030 (USD Million)
8.1 Definition and Scope
8.2 Application Market Share Analysis, 2020 & 2028
8.3 AI in Genomics Market, by Application, 2018 to 2030
8.4 Market Size & Forecasts and Trend Analyses, 2018 to 2030
8.4.1 Pharmaceutical and Biotech Companies
8.4.1.1 Pharmaceutical and biotech companies market, 2018-2030 (USD Million)
8.4.2 Healthcare Providers
8.4.2.1 Healthcare providers market, 2018-2030 (USD Million)
8.4.3 Research Centers
8.4.3.1 Research Centers market, 2018-2030 (USD Million)
8.4.4 Other
8.3.4.1 Other market, 2018-2030 (USD Million)
Chapter 9 AI in Genomics Market: Regional Market Analysis, 2018 – 2030 (USD Million)
9.1 Definition & Scope
9.2 Regional Market Share Analysis, 2022 & 2030
9.3 Regional Market Snapshot
9.4 Market Size, & Forecasts, Volume and Trend Analysis, 2022 to 2030
9.4.1 North America AI in genomics market, 2018-2030 (USD Million)
9.4.2 U.S.
9.4.2.1 U.S. AI in genomics market, 2018 – 2030 (USD Million)
9.4.3 Canada
9.4.3.1 Canada AI in genomics market, 2018 – 2030 (USD Million)
9.5 Europe
9.5.1 Europe AI in genomics market, 2018 – 2030 (USD Million)
9.5.1 U.K.
9.5.1.1 U.K. AI in genomics market, 2018 – 2030 (USD Million)
9.5.2 Germany
9.5.2.1 Germany AI in genomics market, 2018 – 2030 (USD Million)
9.5.3 France
9.5.3.1 France AI in genomics market, 2018 – 2030 (USD Million)
9.5.4 Italy
9.5.4.1 Italy AI in genomics market, 2018 – 2030 (USD Million)
9.5.5 Spain
9.5.5.1 Spain AI in genomics market, 2018 – 2030 (USD Million)
9.6 Asia Pacific
9.6.1 APAC AI in genomics market, 2018 – 2030 (USD Million)
9.6.2 Japan
9.6.2.1 Japan AI in genomics market, 2018 – 2030 (USD Million)
9.6.3 China
9.6.3.1 China AI in genomics market, 2018 – 2030 (USD Million)
9.6.4 India
9.6.4.1 India AI in genomics market, 2018 – 2030 (USD Million)
9.6.5 Australia
9.6.5.1 Australia AI in genomics market, 2018 – 2030 (USD Million)
9.6.6 South Korea
9.6.6.1 South Korea AI in genomics market, 2018 – 2030 (USD Million)
9.6.7 Singapore
9.6.7.1 Singapore AI in genomics medicine market, 2018 – 2030 (USD Million)
9.7 Latin America
9.7.1 Latin america AI in genomics market, 2018 – 2030 (USD Million)
9.7.2 Brazil
9.7.2.1 Brazil AI in genomics market, 2018 – 2030 (USD Million)
9.7.3 Mexico
9.7.3.1 Mexico AI in genomics market, 2018 – 2030 (USD Million)
9.7.4 Argentina
9.7.4.1 Argentina AI in genomics market, 2018 – 2030 (USD Million)
9.7.5 Colombia
9.7.5.1 Colombia AI in genomics market, 2018 – 2030 (USD Million)
9.8 Middle East and Africa
9.8.1 MEA AI in genomics market, 2018 – 2030 (USD Million)
9.8.2 South Africa
9.8.2.1 South Africa AI in genomics market, 2018 – 2030 (USD Million)
9.8.3 Saudi Arabia
9.8.3.1 Saudi Arabia AI in genomics market, 2018 – 2030 (USD Million)
9.8.4 UAE
9.8.4.1 UAE AI in genomics market, 2018 – 2030 (USD Million)
9.8.5 Israel
9.8.5.1 Israel AI in genomics market, 2018 – 2030 (USD Million)
Chapter 10 AI in Genomics Market – Competitive Analysis
10.1 Company Profiles
10.2 IBM
10.2.1 Company overview
10.2.2 Financial performance
10.2.3 Product Benchmarking
10.2.4 Strategic initiatives
10.3 MICROSOFT
10.3.1 Company overview
10.3.2 Financial performance
10.3.3 Product benchmarking
10.3.4 Strategic initiatives
10.4 NVIDIA CORPORATION
10.4.1 Company overview
10.4.2 Product Benchmarking
10.4.3 Strategic initiatives
10.5 DEEP GENOMICS
10.5.1 Company overview
10.5.2 product benchmarking
10.5.3 Strategic initiatives
10.6 DATA4CURE, INC
10.6.1 Company overview
10.6.2 Product benchmarking
10.6.3 strategic initiatives
10.7 FREENOME HOLDINGS, INC
10.7.1 Company overview
10.7.2 Financial performance
10.7.3 Product Benchmarking
10.7.4 Strategic initiatives
10.8 THERMO FISHER SCIENTIFIC
10.8.1 Company overview
10.8.2 Product benchmarking
10.9 ILLUMINA, INC
10.9.1 Company overview
10.9.2 Product benchmarking
10.9.3 Strategic initiatives
10.10 SOPHIA GENETICS
10.10.1 Company overview
10.10.2 Product benchmarking
10.10.3 Strategic initiatives
10.11 BENEVOLENTAI
10.11.1 Company overview
10.11.2 Product benchmarking
10.11.3 Strategic initiatives
10.11 FABRIC GENOMICS
10.11.1 Company overview
10.11.2 Product benchmarking
10.11.3 Strategic initiatives

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