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市场调查报告书
商品编码
1424375

体学研究中人工智慧的全球市场：按产品、按技术平台、按应用、按最终用户、按地区

Global AI in Omics Studies Market, By Offering, By Technology Platform, By Application, By End User, By Region
出版日期: | 出版商: Coherent Market Insights | 英文 172 Pages | 商品交期: 2-3个工作天内

价格
简介目录

全球组学研究中的体学市场规模预计将从 2023 年的 6.398 亿美元增加到 2030 年的 45.154 亿美元，预测期内年复合成长率(CAGR)为 32.2%。

报告范围 报告详情
基准年 2022年 2023/2024年市场规模 6.398 亿美元
实际资料 2018-2021 预测期 2023-2030
预测期间 2023/2024 至 2030/2031 年复合年增长率： 32.20% 2030/2031 年预计金额 45.154 亿美元
图 1. 2023 年按地区分類的体学研究中 AI全球市场占有率(%)
全球组学研究中的人工智慧市场-IMG1

由于人工智慧在基因组学、蛋白质组学和代谢组学等各个体学领域的日益采用，预计体学研究中人工智慧的全球市场将显着增长。人工智慧工具广泛应用于巨量资料分析和精准医疗，以深入了解疾病并为患者制定量身定制的治疗方法。人工智慧分析大量体学资料集和识别复杂模式的能力也促进了其在药物研发和个人化治疗等领域的使用。

市场动态：.

推动全球体学研究市场中人工智慧的关键因素包括製药公司增加对人工智慧药物研发的投资、对精准医疗的需求不断增长以及政府对体学研究的资助增加。此外，产生的体学资料量不断增加以及有效利用这些资料的需求正在推动人工智慧的采用。然而，对资料隐私和安全的担忧、不愿采用新技术以及缺乏熟练的人工智慧人才是阻碍市场成长的因素。另一方面，基于云端基础体学资料平台的出现以及人工智慧和医疗保健领域新兴企业生态系统的扩展预计将为市场参与者提供重大的成长机会。

此外，近年来，随着次世代定序仪的出现以及定量蛋白质体学和代谢组学技术的进步，体学研究经历了一场革命。这些高通量技术使得以前所未有的规模和速度产生大量多组体学资料成为可能。全基因组序列测定和全EXOME序列测定等技术不仅越来越多地用于研究目的，而且越来越多地用于临床诊断和预后预测。核糖核酸定序等技术可在单细胞层级分析转录组，提供特定细胞类型和疾病状态等详细资讯。 SWATH-MS 等蛋白质体学技术提高了蛋白质覆盖率和定量能力。代谢组学技术现在能够同时识别和量化生物样本中的多种代谢物。这些先进的定量组体学技术正在促进多组体学综合研究，并提供对生物系统更深入的见解。此类大型、定量和综合体学资料集的可用性预计将在未来几年推动对疾病机制、生物标记和治疗靶点的重要发现和见解。这将进一步促进各个疾病领域基于体学的研究和应用的发展。

本研究的主要特点

  • 该报告对全球体学研究市场中的人工智慧进行了详细分析，并提供了以2022年为基准年的预测期（2023-2030年）的市场规模和年复合成长率（CAGR%）。
  • 它还揭示了各个细分市场的潜在商机，并为该市场说明了一系列有吸引力的投资提案。
  • 它还提供了有关市场驱动因素、限制因素、机会、新产品发布和核准、市场趋势、区域前景、主要企业采取的竞争策略等的主要考察。
  • 它根据公司亮点、产品系列、主要亮点、财务表现和策略等参数，介绍了体学研究市场中全球人工智慧的主要企业。
  • 该报告的见解将使行销人员和公司负责人能够就未来的产品发布、类型升级、市场扩张和行销策略做出明智的决策。
  • 全球体学研究中的人工智慧市场报告迎合了该行业的各个相关人员，如投资者、供应商、产品製造商、经销商、新进业者和金融分析师。
  • 相关人员可以透过用于分析体学研究市场中的全球人工智慧的各种策略矩阵来促进决策。

目录

第一章 研究目的与前提

  • 研究目标
  • 先决条件
  • 简称

第二章 市场展望

  • 报告说明
    • 市场定义和范围
  • 执行摘要
  • Coherent Opportunity Map（COM）

第三章市场动态、法规及趋势分析

  • 市场动态
  • 主要亮点
  • 监管场景
  • 最近的趋势
  • PEST分析
  • 波特的分析
  • 合併、收购和合作

第 4 章全球体学研究中的人工智慧市场 -冠状病毒(COVID-19) 大流行的影响

  • 新型冠状病毒感染疾病（COVID-19）的流行病学
  • 供需面分析
  • 经济影响

第五章 2018-2030 年体学研究中的全球人工智慧市场（按产品划分）

  • 软体
  • 服务

第 6 章 2018-2030 年全球体学研究人工智慧市场（按技术平台）

  • 顺序
  • 表观基因
  • 蛋白质体学
  • 代谢组学
  • 其他（转录组学等）

第 7 章 2018-2030 年体学研究中的全球人工智慧市场（按应用）

  • 肿瘤学
  • 感染疾病
  • 神经病学
  • 心血管疾病
  • 免疫学
  • 其他（药物基因组学等）

第 8 章体学研究中的全球人工智慧市场，按最终用户划分，2018-2030 年

  • 学术研究所
  • 生物製药公司
  • 其他（签约研究机构等）

第 9 章 2018-2030 年全球体学研究市场中的人工智慧（按地区）

  • 北美洲
  • 美国
  • 加拿大
  • 欧洲
  • 德国
  • 英国
  • 西班牙
  • 法国
  • 义大利
  • 俄罗斯
  • 其他欧洲国家
  • 亚太地区
  • 中国
  • 印度
  • 日本
  • 澳洲
  • 韩国
  • ASEAN
  • 其他亚太地区
  • 拉丁美洲
  • 巴西
  • 阿根廷
  • 墨西哥
  • 其他拉丁美洲
  • 中东
  • 海湾合作委员会国家
  • 以色列
  • 其他中东地区
  • 非洲
  • 北非
  • 中部非洲
  • 南非

第10章竞争形势

  • 公司简介
    • Thermo Fisher Scientific
    • Agilent Technologies
    • Illumina
    • BGI Genomics
    • Dassault Systemes
    • Qiagen
    • Waters Corporation
    • GE Healthcare
    • Amazon Web Services, Inc
    • Bruker
    • Danaher

第11章 章节

  • 参考
  • 调查方法
  • 关于出版商
简介目录
Product Code: CMI6516

The global AI in omics studies market size is expected to reach US$ 4,515.4 Mn by 2030, from US$ 639.8 Mn in 2023, exhibiting a compound annual growth rate (CAGR) of 32.2% during the forecast period.

Report Coverage Report Details
Base Year: 2022 Market Size in 2023/2024: US$ 639.8 Mn
Historical Data for: 2018 to 2021 Forecast Period: 2023 - 2030
Forecast Period 2023/2024 to 2030/2031 CAGR: 32.20% 2030/2031 Value Projection: US$ 4,515.4 Mn
Figure 1. Global AI in Omics Studies Market Share (%), By Region, 2023
Global AI in Omics Studies Market - IMG1

The global AI in omics studies market is expected to see significant growth due to the increasing adoption of artificial intelligence in various omics fields such as genomics, proteomics, and metabolomics. AI tools are being widely used for big data analytics and precision medicine to gain deeper insights into diseases and develop personalized treatment options for patients. The ability of AI to analyze massive omics datasets and identify complex patterns is also propelling its usage in areas like drug discovery and personalized therapeutics.

Market Dynamics:

The key drivers fueling the global AI in omics studies market include growing investments by pharmaceutical companies in AI for drug discovery, rising demand for precision medicine, and increasing government funding for omics research. Additionally, the growing volumes of omics data being generated and the need to leverage this data effectively are driving the adoption of AI. However, data privacy and security concerns, reluctance to adopt new technologies, and a lack of a skilled AI workforce are some of the factors hindering market growth. Meanwhile, the emergence of cloud-based omics data analytics platforms and the expansion of the startup ecosystem in the AI and healthcare spaces are expected to create significant growth opportunities for market players.

Moreover, with the advent of next-generation sequencing and advancements in quantitative proteomics and metabolomics technologies, omics studies have been revolutionized in recent years. These high-throughput technologies have enabled the generation of massive amounts of multi-omics data at an unprecedented scale and speed. Technologies like whole genome and whole exome sequencing are increasingly used not just for research purposes but also in clinical settings for diagnostics and prognostics. Technologies such as Ribonucleic acid sequencing have enabled the profiling of transcriptomes at the single-cell level, providing details into specific cell types, disease conditions, etc. Proteomics technologies like SWATH-MS have improved protein coverage and quantitation capabilities. Metabolomics technologies are now capable of identifying and quantifying several metabolites simultaneously from biological samples. These advancing quantitative omics technologies are facilitating multi-omics integration studies and providing deeper insights into biological systems. The availability of such large-scale, quantitative, and integrated omics datasets is expected to drive significant discovery and insights into disease mechanisms, biomarkers, and therapeutic targets in the coming years. This will further fuel the growth in omics based research and applications across various disease areas.

Key features of the study:

  • This report provides in-depth analysis of the global AI in omics studies market, and provides market size (US$ Mn) and compound annual growth rate (CAGR %) for the forecast period (2023-2030), considering 2022 as the base year
  • It elucidates potential revenue opportunities across different segments and explains attractive investment proposition matrices for this market
  • This study also provides key insights about market drivers, restraints, opportunities, new product launches or approval, market trends, regional outlook, and competitive strategies adopted by key players
  • It profiles key players in the global AI in omics studies market based on the following parameters - company highlights, products portfolio, key highlights, financial performance, and strategies
  • Key companies covered as a part of this study include Thermo Fisher Scientific, Agilent Technologies, Illumina, BGI Genomics, Dassault Systemes, Qiagen, Waters Corporation, GE Healthcare, Amazon Web Services, Inc., Bruker, and Danaher
  • Insights from this report would allow marketers and the management authorities of the companies to make informed decisions regarding their future product launches, type up-gradation, market expansion, and marketing tactics
  • Global AI in omics studies market report caters to various stakeholders in this industry including investors, suppliers, product manufacturers, distributors, new entrants, and financial analysts
  • Stakeholders would have ease in decision-making through various strategy matrices used in analyzing the global AI in omics studies market

Detailed Segmentation:

  • Global AI in Omics Studies Market, By Offering
    • Software
    • Services
  • Global AI in Omics Studies Market, By Technology Platform
    • Sequencing
    • Epigenomics
    • Proteomics
    • Metabolomics
    • Others (Transcriptomics, among others)
  • Global AI in Omics Studies Market, By Application
    • Oncology
    • Infectious Diseases
    • Neurology
    • Cardiovascular Diseases
    • Immunology
    • Others (Pharmacogenomics, among others)
  • Global AI in Omics Studies Market, By End User
    • Academic and Research Institutes
    • Biopharmaceutical Company
    • Others (Contract Research Organizations, among others)
  • Global AI in Omics Studies Market, By Region
    • North America
    • Latin America
    • Europe
    • Asia Pacific
    • Middle East &Africa
  • Top Companies in the Global AI in omics studies Market:
    • Thermo Fisher Scientific.
    • Agilent Technologies
    • Illumina
    • BGI Genomics
    • Dassault Systemes
    • Qiagen
    • Waters Corporation
    • GE Healthcare
    • Amazon Web Services, Inc
    • Bruker
    • Danaher

Table of Contents

1. Research Objectives and Assumptions

  • Research Objectives
  • Assumptions
  • Abbreviations

2. Market Purview

  • Report Description
    • Market Definition and Scope
  • Executive Summary
    • Global AI in Omics Studies Market, By Offering
    • Global AI in Omics Studies Market, By Technology Platform
    • Global AI in Omics Studies Market, By Application
    • Global AI in Omics Studies Market, By End User
    • Global AI in Omics Studies Market, By Region
  • Coherent Opportunity Map (COM)

3. Market Dynamics, Regulations, and Trends Analysis

  • Market Dynamics
    • Growing genetic/genomic data and increasing investments
    • High setup costs and lack of infrastructure
    • Scope for AI in drug discovery and vaccine development
  • Key Highlights
  • Regulatory Scenario
  • Recent Trends
  • PEST Analysis
  • PORTER's Analysis
  • Mergers, Acquisitions, and Collaborations

4. Global AI in Omics Studies Market- Impact of Coronavirus (COVID-19) Pandemic

  • COVID-19 Epidemiology
  • Supply Side and Demand Side Analysis
  • Economic Impact

5. Global AI in Omics Studies Market, By Offering, 2018-2030, (US$ Mn)

  • Introduction
    • Market Share Analysis, 2023 and 2030 (%)
    • Y-o-Y Growth Analysis, 2019 - 2030
    • Segment Trends
  • Software
    • Introduction
    • Market Size and Forecast, and Y-o-Y Growth, 2018-2030,(US$ Mn)
  • Services
    • Introduction
    • Market Size and Forecast, and Y-o-Y Growth, 2018-2030,(US$ Mn)

6. Global AI in Omics Studies Market, By Technology Platform, 2018-2030, (US$ Mn)

  • Introduction
    • Market Share Analysis, 2023 and 2030 (%)
    • Y-o-Y Growth Analysis, 2019 - 2030
    • Segment Trends
  • Sequencing
    • Introduction
    • Market Size and Forecast, and Y-o-Y Growth, 2018-2030,(US$ Mn)
  • Epigenomics
    • Introduction
    • Market Size and Forecast, and Y-o-Y Growth, 2018-2030,(US$ Mn)
  • Proteomics
    • Introduction
    • Market Size and Forecast, and Y-o-Y Growth, 2018-2030,(US$ Mn)
  • Metabolomics
    • Introduction
    • Market Size and Forecast, and Y-o-Y Growth, 2018-2030,(US$ Mn)
  • Others (Transcriptomics, among others)
    • Introduction
    • Market Size and Forecast, and Y-o-Y Growth, 2018-2030,(US$ Mn)

7. Global AI in Omics Studies Market, By Application, 2018-2030, (US$ Mn)

  • Introduction
    • Market Share Analysis, 2023 and 2030 (%)
    • Y-o-Y Growth Analysis, 2019 - 2030
    • Segment Trends
  • Oncology
    • Introduction
    • Market Size and Forecast, and Y-o-Y Growth, 2018-2030,(US$ Mn)
  • Infectious Diseases
    • Introduction
    • Market Size and Forecast, and Y-o-Y Growth, 2018-2030,(US$ Mn)
  • Neurology
    • Introduction
    • Market Size and Forecast, and Y-o-Y Growth, 2018-2030,(US$ Mn)
  • Cardiovascular Diseases
    • Introduction
    • Market Size and Forecast, and Y-o-Y Growth, 2018-2030,(US$ Mn)
  • Immunology
    • Introduction
    • Market Size and Forecast, and Y-o-Y Growth, 2018-2030,(US$ Mn)
  • Others (Pharmacogenomics, among others)
    • Introduction
    • Market Size and Forecast, and Y-o-Y Growth, 2018-2030,(US$ Mn)

8. Global AI in Omics Studies Market, By End User, 2018-2030, (US$ Mn)

  • Introduction
    • Market Share Analysis, 2023 and 2030 (%)
    • Y-o-Y Growth Analysis, 2019 - 2030
    • Segment Trends
  • Academic and Research Institutes
    • Introduction
    • Market Size and Forecast, and Y-o-Y Growth, 2018-2030,(US$ Mn)
  • Biopharmaceutical Company
    • Introduction
    • Market Size and Forecast, and Y-o-Y Growth, 2018-2030,(US$ Mn)
  • Others (Contract Research Organizations, among others)
    • Introduction
    • Market Size and Forecast, and Y-o-Y Growth, 2018-2030,(US$ Mn)

9. Global AI in Omics Studies Market, By Region, 2018-2030, (US$ Mn)

  • Introduction
    • Market Share Analysis, By Region, 2023 and 2030 (%)
    • Y-o-Y Growth Analysis, For Region, 2019 -2030
    • Country Trends
  • North America
    • Introduction
    • Market Size and Forecast, and Y-o-Y Growth, By Offering, 2018-2030,(US$ Mn)
    • Market Size and Forecast, and Y-o-Y Growth, By Technology Platform, 2018-2030,(US$ Mn)
    • Market Size and Forecast, and Y-o-Y Growth, By Application, 2018-2030,(US$ Mn)
    • Market Size and Forecast, and Y-o-Y Growth, By End User, 2018-2030,(US$ Mn)
    • Market Size and Forecast, and Y-o-Y Growth, By Country, 2018-2030,(US$ Mn)
  • U.S.
  • Canada
  • Europe
    • Introduction
    • Market Size and Forecast, and Y-o-Y Growth, By Offering, 2018-2030,(US$ Mn)
    • Market Size and Forecast, and Y-o-Y Growth, By Technology Platform, 2018-2030,(US$ Mn)
    • Market Size and Forecast, and Y-o-Y Growth, By Application, 2018-2030,(US$ Mn)
    • Market Size and Forecast, and Y-o-Y Growth, By End User, 2018-2030,(US$ Mn)
    • Market Size and Forecast, and Y-o-Y Growth, By Country, 2018-2030,(US$ Mn)
  • Germany
  • U.K.
  • Spain
  • France
  • Italy
  • Russia
  • Rest of Europe
  • Asia Pacific
    • Introduction
    • Market Size and Forecast, and Y-o-Y Growth, By Offering, 2018-2030,(US$ Mn)
    • Market Size and Forecast, and Y-o-Y Growth, By Technology Platform, 2018-2030,(US$ Mn)
    • Market Size and Forecast, and Y-o-Y Growth, By Application, 2018-2030,(US$ Mn)
    • Market Size and Forecast, and Y-o-Y Growth, By End User, 2018-2030,(US$ Mn)
    • Market Size and Forecast, and Y-o-Y Growth, By Country, 2018-2030,(US$ Mn)
  • China
  • India
  • Japan
  • Australia
  • South Korea
  • ASEAN
  • Rest of Asia Pacific
  • Latin America
    • Introduction
    • Market Size and Forecast, and Y-o-Y Growth, By Offering, 2018-2030,(US$ Mn)
    • Market Size and Forecast, and Y-o-Y Growth, By Technology Platform, 2018-2030,(US$ Mn)
    • Market Size and Forecast, and Y-o-Y Growth, By Application, 2018-2030,(US$ Mn)
    • Market Size and Forecast, and Y-o-Y Growth, By End User, 2018-2030,(US$ Mn)
    • Market Size and Forecast, and Y-o-Y Growth, By Country, 2018-2030,(US$ Mn)
  • Brazil
  • Argentina
  • Mexico
  • Rest of Latin America
  • Middle East
    • Introduction
    • Market Size and Forecast, and Y-o-Y Growth, By Offering, 2018-2030,(US$ Mn)
    • Market Size and Forecast, and Y-o-Y Growth, By Technology Platform, 2018-2030,(US$ Mn)
    • Market Size and Forecast, and Y-o-Y Growth, By Application, 2018-2030,(US$ Mn)
    • Market Size and Forecast, and Y-o-Y Growth, By End User, 2018-2030,(US$ Mn)
    • Market Size and Forecast, and Y-o-Y Growth, By Country, 2018-2030,(US$ Mn)
  • GCC Countries
  • Israel
  • Rest of Middle East
  • Africa
    • Introduction
    • Market Size and Forecast, and Y-o-Y Growth, By Offering, 2018-2030,(US$ Mn)
    • Market Size and Forecast, and Y-o-Y Growth, By Technology Platform, 2018-2030,(US$ Mn)
    • Market Size and Forecast, and Y-o-Y Growth, By Application, 2018-2030,(US$ Mn)
    • Market Size and Forecast, and Y-o-Y Growth, By End User, 2018-2030,(US$ Mn)
    • Market Size and Forecast, and Y-o-Y Growth, By Country/Region, 2018-2030,(US$ Mn)
  • North Africa
  • Central Africa
  • South Africa

10. Competitive Landscape

  • Company Profile
    • Thermo Fisher Scientific
  • Company Highlights
  • Product Portfolio
  • Key Highlights
  • Financial Performance
  • Strategies
    • Agilent Technologies
    • Illumina
    • BGI Genomics
    • Dassault Systemes
    • Qiagen
    • Waters Corporation
    • GE Healthcare
    • Amazon Web Services, Inc
    • Bruker
    • Danaher
  • Analyst Views

11. Section

  • References
  • Research Methodology
  • About us