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1424375

體學研究中人工智慧的全球市場：按產品、按技術平台、按應用、按最終用戶、按地區

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個工作天內

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簡介目錄

全球組學研究中的體學市場規模預計將從 2023 年的 6.398 億美元增加到 2030 年的 45.154 億美元，預測期內年複合成長率(CAGR)為 32.2%。

報告範圍 報告詳情
基準年 2022年 2023/2024年市場規模 6.398 億美元
實際資料 2018-2021 預測期 2023-2030
預測期間 2023/2024 至 2030/2031 年複合年成長率： 32.20% 2030/2031 年預計金額 45.154 億美元
圖 1. 2023 年按地區分類的體學研究中 AI全球市場佔有率(%)
全球組學研究中的人工智慧市場-IMG1

由於人工智慧在基因組學、蛋白質組學和代謝組學等各個體學領域的日益採用，預計體學研究中人工智慧的全球市場將顯著成長。人工智慧工具廣泛應用於巨量資料分析和精準醫療，以深入了解疾病並為患者制定量身定做的治療方法。人工智慧分析大量體學資料集和識別複雜模式的能力也促進了其在藥物研發和個人化治療等領域的使用。

市場動態：.

推動全球體學研究市場中人工智慧的關鍵因素包括製藥公司增加對人工智慧藥物研發的投資、對精準醫療的需求不斷成長以及政府對體學研究的資助增加。此外，產生的體學資料量不斷增加以及有效利用這些資料的需求正在推動人工智慧的採用。然而，對資料隱私和安全的擔憂、不願採用新技術以及缺乏熟練的人工智慧人才是阻礙市場成長的因素。另一方面，基於雲端基礎體學資料平台的出現以及人工智慧和醫療保健領域新興企業生態系統的擴展預計將為市場參與者提供重大的成長機會。

此外，近年來，隨著次世代定序儀的出現以及定量蛋白質體學和代謝組學技術的進步，體學研究經歷了一場革命。這些高通量技術使得以前所未有的規模和速度產生大量多組體學資料成為可能。全基因組序列測定和全EXOME序列測定等技術不僅擴大用於研究目的，而且擴大用於臨床診斷和預後預測。核糖核酸定序等技術可在單細胞層級分析轉錄組，提供特定細胞類型和疾病狀態等詳細資訊。 SWATH-MS 等蛋白質體學技術提高了蛋白質覆蓋率和定量能力。代謝組學技術現在能夠同時識別和量化生物樣本中的多種代謝物。這些先進的定量組體學技術正在促進多組體學綜合研究，並提供對生物系統更深入的見解。此類大型、定量和綜合體學資料集的可用性預計將在未來幾年推動對疾病機制、生物標記和治療靶點的重要發現和見解。這將進一步促進各個疾病領域基於體學的研究和應用的發展。

本研究的主要特點

  • 該報告對全球體學研究市場中的人工智慧進行了詳細分析，並提供了以2022年為基準年的預測期（2023-2030年）的市場規模和年複合成長率（CAGR%）。
  • 它還揭示了各個細分市場的潛在商機，並為該市場說明了一系列有吸引力的投資提案。
  • 它還提供了有關市場促進因素、限制因素、機會、新產品發布和核准、市場趨勢、區域前景、主要企業採取的競爭策略等的主要考察。
  • 它根據公司亮點、產品系列、主要亮點、財務表現和策略等參數，介紹了體學研究市場中全球人工智慧的主要企業。
  • 該報告的見解將使行銷人員和公司負責人能夠就未來的產品發布、類型升級、市場擴張和行銷策略做出明智的決策。
  • 全球體學研究中的人工智慧市場報告迎合了該行業的各個相關人員，如投資者、供應商、產品製造商、經銷商、新進業者和金融分析師。
  • 相關人員可以透過用於分析體學研究市場中的全球人工智慧的各種策略矩陣來促進決策。

目錄

第1章 研究目的與前提

  • 研究目標
  • 先決條件
  • 簡稱

第2章 市場展望

  • 報告說明
    • 市場定義和範圍
  • 執行摘要
  • Coherent Opportunity Map（COM）

第3章市場動態、法規及趨勢分析

  • 市場動態
  • 主要亮點
  • 監管場景
  • 最近的趨勢
  • PEST分析
  • 波特的分析
  • 合併、收購和合作

第 4 章全球體學研究中的人工智慧市場 -冠狀病毒(COVID-19) 大流行的影響

  • 新型冠狀病毒感染疾病（COVID-19）的流行病學
  • 供需面分析
  • 經濟影響

第5章 2018-2030 年體學研究中的全球人工智慧市場（按產品分類）

  • 軟體
  • 服務

第 6 章 2018-2030 年全球體學研究人工智慧市場（按技術平台）

  • 順序
  • 表觀基因
  • 蛋白質體學
  • 代謝組學
  • 其他（轉錄組學等）

第 7 章 2018-2030 年體學研究中的全球人工智慧市場（按應用）

  • 腫瘤學
  • 感染疾病
  • 神經病學
  • 心血管疾病
  • 免疫學
  • 其他（藥物基因組學等）

第 8 章體學研究中的全球人工智慧市場，按最終用戶分類，2018-2030 年

  • 學術研究所
  • 生物製藥公司
  • 其他（簽約研究機構等）

第 9 章 2018-2030 年全球體學研究市場中的人工智慧（按地區）

  • 北美洲
  • 美國
  • 加拿大
  • 歐洲
  • 德國
  • 英國
  • 西班牙
  • 法國
  • 義大利
  • 俄羅斯
  • 其他歐洲國家
  • 亞太地區
  • 中國
  • 印度
  • 日本
  • 澳洲
  • 韓國
  • ASEAN
  • 其他亞太地區
  • 拉丁美洲
  • 巴西
  • 阿根廷
  • 墨西哥
  • 其他拉丁美洲
  • 中東
  • 海灣合作理事會國家
  • 以色列
  • 其他中東地區
  • 非洲
  • 北非
  • 中部非洲
  • 南非

第10章競爭形勢

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

第11章 章節

  • 參考
  • 調查方法
  • 關於出版商
簡介目錄
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